Alzheimer’s Disease Drug Development in 2008 and Beyond: Problems and Opportunities
Becker, Robert E.; Greig, Nigel H.
2008-01-01
Recently, a number of Alzheimer’s disease (AD) multi-center clinical trials (CT) have failed to provide statistically significant evidence of drug efficacy. To test for possible design or execution flaws we analyzed in detail CTs for two failed drugs that were strongly supported by preclinical evidence and by proven CT AD efficacy for other drugs in their class. Studies of the failed commercial trials suggest that methodological flaws may contribute to the failures and that these flaws lurk within current drug development practices ready to impact other AD drug development [1]. To identify and counter risks we considered the relevance to AD drug development of the following factors: (1) effective dosing of the drug product, (2) reliable evaluations of research subjects, (3) effective implementation of quality controls over data at research sites, (4) resources for practitioners to effectively use CT results in patient care, (5) effective disease modeling, (6) effective research designs. New drugs currently under development for AD address a variety of specific mechanistic targets. Mechanistic targets provide AD drug development opportunities to escape from many of the factors that currently undermine AD clinical pharmacology, especially the problems of inaccuracy and imprecision associated with using rated outcomes. In this paper we conclude that many of the current problems encountered in AD drug development can be avoided by changing practices. Current problems with human errors in clinical trials make it difficult to differentiate drugs that fail to evidence efficacy from apparent failures due to Type II errors. This uncertainty and the lack of publication of negative data impede researchers’ abilities to improve methodologies in clinical pharmacology and to develop a sound body of knowledge about drug actions. We consider the identification of molecular targets as offering further opportunities for overcoming current failures in drug development. PMID:18690832
Cost-effectiveness analysis of microdose clinical trials in drug development.
Yamane, Naoe; Igarashi, Ataru; Kusama, Makiko; Maeda, Kazuya; Ikeda, Toshihiko; Sugiyama, Yuichi
2013-01-01
Microdose (MD) clinical trials have been introduced to obtain human pharmacokinetic data early in drug development. Here we assessed the cost-effectiveness of microdose integrated drug development in a hypothetical model, as there was no such quantitative research that weighed the additional effectiveness against the additional time and/or cost. First, we calculated the cost and effectiveness (i.e., success rate) of 3 types of MD integrated drug development strategies: liquid chromatography-tandem mass spectrometry, accelerator mass spectrometry, and positron emission tomography. Then, we analyzed the cost-effectiveness of 9 hypothetical scenarios where 100 drug candidates entering into a non-clinical toxicity study were selected by different methods as the conventional scenario without MD. In the base-case, where 70 drug candidates were selected without MD and 30 selected evenly by one of the three MD methods, incremental cost-effectiveness ratio per one additional drug approved was JPY 12.7 billion (US$ 0.159 billion), whereas the average cost-effectiveness ratio of the conventional strategy was JPY 24.4 billion, which we set as a threshold. Integrating MD in the conventional drug development was cost-effective in this model. This quantitative analytical model which allows various modifications according to each company's conditions, would be helpful for guiding decisions early in clinical development.
Comprehensive prediction of drug-protein interactions and side effects for the human proteome
Zhou, Hongyi; Gao, Mu; Skolnick, Jeffrey
2015-01-01
Identifying unexpected drug-protein interactions is crucial for drug repurposing. We develop a comprehensive proteome scale approach that predicts human protein targets and side effects of drugs. For drug-protein interaction prediction, FINDSITEcomb, whose average precision is ~30% and recall ~27%, is employed. For side effect prediction, a new method is developed with a precision of ~57% and a recall of ~24%. Our predictions show that drugs are quite promiscuous, with the average (median) number of human targets per drug of 329 (38), while a given protein interacts with 57 drugs. The result implies that drug side effects are inevitable and existing drugs may be useful for repurposing, with only ~1,000 human proteins likely causing serious side effects. A killing index derived from serious side effects has a strong correlation with FDA approved drugs being withdrawn. Therefore, it provides a pre-filter for new drug development. The methodology is free to the academic community on the DR. PRODIS (DRugome, PROteome, and DISeasome) webserver at http://cssb.biology.gatech.edu/dr.prodis/. DR. PRODIS provides protein targets of drugs, drugs for a given protein target, associated diseases and side effects of drugs, as well as an interface for the virtual target screening of new compounds. PMID:26057345
NASA Astrophysics Data System (ADS)
Huang, Lu; Jiang, Yuyang; Chen, Yuzong
2017-01-01
Synergistic drug combinations enable enhanced therapeutics. Their discovery typically involves the measurement and assessment of drug combination index (CI), which can be facilitated by the development and applications of in-silico CI predictive tools. In this work, we developed and tested the ability of a mathematical model of drug-targeted EGFR-ERK pathway in predicting CIs and in analyzing multiple synergistic drug combinations against observations. Our mathematical model was validated against the literature reported signaling, drug response dynamics, and EGFR-MEK drug combination effect. The predicted CIs and combination therapeutic effects of the EGFR-BRaf, BRaf-MEK, FTI-MEK, and FTI-BRaf inhibitor combinations showed consistent synergism. Our results suggest that existing pathway models may be potentially extended for developing drug-targeted pathway models to predict drug combination CI values, isobolograms, and drug-response surfaces as well as to analyze the dynamics of individual and combinations of drugs. With our model, the efficacy of potential drug combinations can be predicted. Our method complements the developed in-silico methods (e.g. the chemogenomic profile and the statistically-inferenced network models) by predicting drug combination effects from the perspectives of pathway dynamics using experimental or validated molecular kinetic constants, thereby facilitating the collective prediction of drug combination effects in diverse ranges of disease systems.
Fetal effects of psychoactive drugs.
Salisbury, Amy L; Ponder, Kathryn L; Padbury, James F; Lester, Barry M
2009-09-01
Psychoactive drug use by pregnant women has the potential to effect fetal development; the effects are often thought to be drug-specific and gestational age dependent. This article describes the effects of three drugs with similar molecular targets that involve monoaminergic transmitter systems: cocaine, methamphetamine, and selective serotonin re-uptake inhibitors (SSRIs) used to treat maternal depression during pregnancy. We propose a possible common epigenetic mechanism for their potential effects on the developing child. We suggest that exposure to these substances acts as a stressor that affects fetal programming, disrupts fetal placental monoamine transporter expression and alters neuroendocrine and neurotransmitter system development. We also discuss neurobehavioral techniques that may be useful in the early detection of the effects of in utero drug exposure.
Access to essential drugs in poor countries: a lost battle?
Pécoul, B; Chirac, P; Trouiller, P; Pinel, J
1999-01-27
Drugs offer a simple, cost-effective solution to many health problems, provided they are available, affordable, and properly used. However, effective treatment is lacking in poor countries for many diseases, including African trypanosomiasis, Shigella dysentery, leishmaniasis, tuberculosis, and bacterial meningitis. Treatment may be precluded because no effective drug exists, it is too expensive, or it has been withdrawn from the market. Moreover, research and development in tropical diseases have come to a near standstill. This article focuses on the problems of access to quality drugs for the treatment of diseases that predominantly affect the developing world: (1) poor-quality and counterfeit drugs; (2) lack of availability of essential drugs due to fluctuating production or prohibitive cost; (3) need to develop field-based drug research to determine optimum utilization and remotivate research and development for new drugs for the developing world; and (4) potential consequences of recent World Trade Organization agreements on the availability of old and new drugs. These problems are not independent and unrelated but are a result of the fundamental nature of the pharmaceutical market and the way it is regulated.
Letizia, M C; Cornaglia, M; Tranchida, G; Trouillon, R; Gijs, M A M
2018-01-22
When studying the drug effectiveness towards a target model, one should distinguish the effects of the drug itself and of all the other factors that could influence the screening outcome. This comprehensive knowledge is crucial, especially when model organisms are used to study the drug effect at a systemic level, as a higher number of factors can influence the drug-testing outcome. Covering the entire experimental domain and studying the effect of the simultaneous change in several factors would require numerous experiments, which are costly and time-consuming. Therefore, a design of experiment (DoE) approach in drug-testing is emerging as a robust and efficient method to reduce the use of resources, while maximizing the knowledge of the process. Here, we used a 3-factor-Doehlert DoE to characterize the concentration-dependent effect of the drug doxycycline on the development duration of the nematode Caenorhabditis elegans. To cover the experimental space, 13 experiments were designed and performed, where different doxycycline concentrations were tested, while also varying the temperature and the food amount, which are known to influence the duration of C. elegans development. A microfluidic platform was designed to isolate and culture C. elegans larvae, while testing the doxycycline effect with full control of temperature and feeding over the entire development. Our approach allowed predicting the doxycycline effect on C. elegans development in the complete drug concentration/temperature/feeding experimental space, maximizing the understanding of the effect of this antibiotic on the C. elegans development and paving the way towards a standardized and optimized drug-testing process.
An Ensemble Approach for Drug Side Effect Prediction
Jahid, Md Jamiul; Ruan, Jianhua
2014-01-01
In silico prediction of drug side-effects in early stage of drug development is becoming more popular now days, which not only reduces the time for drug design but also reduces the drug development costs. In this article we propose an ensemble approach to predict drug side-effects of drug molecules based on their chemical structure. Our idea originates from the observation that similar drugs have similar side-effects. Based on this observation we design an ensemble approach that combine the results from different classification models where each model is generated by a different set of similar drugs. We applied our approach to 1385 side-effects in the SIDER database for 888 drugs. Results show that our approach outperformed previously published approaches and standard classifiers. Furthermore, we applied our method to a number of uncharacterized drug molecules in DrugBank database and predict their side-effect profiles for future usage. Results from various sources confirm that our method is able to predict the side-effects for uncharacterized drugs and more importantly able to predict rare side-effects which are often ignored by other approaches. The method described in this article can be useful to predict side-effects in drug design in an early stage to reduce experimental cost and time. PMID:25327524
New old challenges in tuberculosis: potentially effective nanotechnologies in drug delivery.
Sosnik, Alejandro; Carcaboso, Angel M; Glisoni, Romina J; Moretton, Marcela A; Chiappetta, Diego A
2010-03-18
Tuberculosis (TB) is the second most deadly infectious disease. Despite potentially curative pharmacotherapies being available for over 50 years, the length of the treatment and the pill burden can hamper patient lifestyle. Thus, low compliance and adherence to administration schedules remain the main reasons for therapeutic failure and contribute to the development of multi-drug-resistant (MDR) strains. Pediatric patients constitute a high risk population. Most of the first-line drugs are not commercially available in pediatric form. The design of novel antibiotics attempts to overcome drug resistance, to shorten the treatment course and to reduce drug interactions with antiretroviral therapies. On the other hand, the existing anti-TB drugs are still effective. Overcoming technological drawbacks of these therapeutic agents as well as improving the effectiveness of the drug by targeting the infection reservoirs remains the central aims of Pharmaceutical Technology. In this framework, nanotechnologies appear as one of the most promising approaches for the development of more effective and compliant medicines. The present review thoroughly overviews the state-of-the-art in the development of nano-based drug delivery systems for encapsulation and release of anti-TB drugs and discusses the challenges that are faced in the development of a more effective, compliant and also affordable TB pharmacotherapy. Copyright 2009 Elsevier B.V. All rights reserved.
de Witte, Wilhelmus E A; Wong, Yin Cheong; Nederpelt, Indira; Heitman, Laura H; Danhof, Meindert; van der Graaf, Piet H; Gilissen, Ron A H J; de Lange, Elizabeth C M
2016-01-01
Drug-target binding kinetics are major determinants of the time course of drug action for several drugs, as clearly described for the irreversible binders omeprazole and aspirin. This supports the increasing interest to incorporate newly developed high-throughput assays for drug-target binding kinetics in drug discovery. A meaningful application of in vitro drug-target binding kinetics in drug discovery requires insight into the relation between in vivo drug effect and in vitro measured drug-target binding kinetics. In this review, the authors discuss both the relation between in vitro and in vivo measured binding kinetics and the relation between in vivo binding kinetics, target occupancy and effect profiles. More scientific evidence is required for the rational selection and development of drug-candidates on the basis of in vitro estimates of drug-target binding kinetics. To elucidate the value of in vitro binding kinetics measurements, it is necessary to obtain information on system-specific properties which influence the kinetics of target occupancy and drug effect. Mathematical integration of this information enables the identification of drug-specific properties which lead to optimal target occupancy and drug effect in patients.
Cheng, Feixiong; Li, Weihua; Wu, Zengrui; Wang, Xichuan; Zhang, Chen; Li, Jie; Liu, Guixia; Tang, Yun
2013-04-22
Prediction of polypharmacological profiles of drugs enables us to investigate drug side effects and further find their new indications, i.e. drug repositioning, which could reduce the costs while increase the productivity of drug discovery. Here we describe a new computational framework to predict polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space. On the basis of our previous developed drug side effects database, named MetaADEDB, a drug side effect similarity inference (DSESI) method was developed for drug-target interaction (DTI) prediction on a known DTI network connecting 621 approved drugs and 893 target proteins. The area under the receiver operating characteristic curve was 0.882 ± 0.011 averaged from 100 simulated tests of 10-fold cross-validation for the DSESI method, which is comparative with drug structural similarity inference and drug therapeutic similarity inference methods. Seven new predicted candidate target proteins for seven approved drugs were confirmed by published experiments, with the successful hit rate more than 15.9%. Moreover, network visualization of drug-target interactions and off-target side effect associations provide new mechanism-of-action of three approved antipsychotic drugs in a case study. The results indicated that the proposed methods could be helpful for prediction of polypharmacological profiles of drugs.
TARGETING POLYMER THERAPEUTICS TO BONE
Low, Stewart; Kopeček, Jindřich
2012-01-01
An aging population in the developing world has led to an increase in musculoskeletal diseases such as osteoporosis and bone metastases. Left untreated many bone diseases cause debilitating pain and in the case of cancer, death. Many potential drugs are effective in treating diseases but result in side effects preventing their efficacy in the clinic. Bone, however, provides an unique environment of inorganic solids, which can be exploited in order to effectively target drugs to diseased tissue. By integration of bone targeting moieties to drug-carrying water-soluble polymers, the payload to diseased area can be increased while side effects decreased. The realization of clinically relevant bone targeted polymer therapeutics depends on (1) understanding bone targeting moiety interactions, (2) development of controlled drug delivery systems, as well as (3) understanding drug interactions. The latter makes it possible to develop bone targeted synergistic drug delivery systems. PMID:22316530
Public Policy and Pharmaceutical Innovation
Grabowski, Henry G.
1982-01-01
Historically, new drug introductions have played a central role in medical progress and the availability of cost-effective therapies. Nevertheless, public policy toward pharmaceuticals has been characterized in recent times by increasingly stringent regulatory controls, shorter effective patent terms, and increased encouragement of generic product usage. This has had an adverse effect on the incentives and capabilities of firms to undertake new drug research and development activity. The industry has experienced sharply rising research and development costs, declining annual new drug introductions, and fewer independent sources of drug development. This paper considers the effects of government regulatory policies on the pharmaceutical innovation process from several related perspectives. It also examines the merits of current public policy proposals designed to stimulate drug innovation including patent restoration and various regulatory reform measures. PMID:10309721
Promising Targets in Anti-cancer Drug Development: Recent Updates.
Kumar, Bhupinder; Singh, Sandeep; Skvortsova, Ira; Kumar, Vinod
2017-01-01
Cancer is a multifactorial disease and its genesis and progression are extremely complex. The biggest problem in the anticancer drug development is acquiring of multidrug resistance and relapse. Classical chemotherapeutics directly target the DNA of the cell, while the contemporary anticancer drugs involve molecular-targeted therapy such as targeting the proteins possessing abnormal expression inside the cancer cells. Conventional strategies for the complete eradication of the cancer cells proved ineffective. Targeted chemotherapy was successful in certain malignancies however, the effectiveness has often been limited by drug resistance and side effects on normal tissues and cells. Since last few years, many promising drug targets have been identified for the effective treatment of cancer. The current review article describes some of these promising anticancer targets that include kinases, tubulin, cancer stem cells, monoclonal antibodies and vascular targeting agents. In addition, promising drug candidates under various phases of clinical trials are also described. Multi-acting drugs that simultaneously target different cancer cell signaling pathways may facilitate the process of effective anti-cancer drug development. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Designer drugs: the evolving science of drug discovery.
Wanke, L A; DuBose, R F
1998-07-01
Drug discovery and design are fundamental to drug development. Until recently, most drugs were discovered through random screening or developed through molecular modification. New technologies are revolutionizing this phase of drug development. Rational drug design, using powerful computers and computational chemistry and employing X-ray crystallography, nuclear magnetic resonance spectroscopy, and three-dimensional quantitative structure activity relationship analysis, is creating highly specific, biologically active molecules by virtual reality modeling. Sophisticated screening technologies are eliminating all but the most active lead compounds. These new technologies promise more efficacious, safe, and cost-effective medications, while minimizing drug development time and maximizing profits.
Evaluating Intra-Articular Drug Delivery for the Treatment of Osteoarthritis in a Rat Model
Allen, Kyle D.; Adams, Samuel B.
2010-01-01
Osteoarthritis (OA) is a degenerative joint disease that can result in joint pain, loss of joint function, and deleterious effects on activity levels and lifestyle habits. Current therapies for OA are largely aimed at symptomatic relief and may have limited effects on the underlying cascade of joint degradation. Local drug delivery strategies may provide for the development of more successful OA treatment outcomes that have potential to reduce local joint inflammation, reduce joint destruction, offer pain relief, and restore patient activity levels and joint function. As increasing interest turns toward intra-articular drug delivery routes, parallel interest has emerged in evaluating drug biodistribution, safety, and efficacy in preclinical models. Rodent models provide major advantages for the development of drug delivery strategies, chiefly because of lower cost, successful replication of human OA-like characteristics, rapid disease development, and small joint volumes that enable use of lower total drug amounts during protocol development. These models, however, also offer the potential to investigate the therapeutic effects of local drug therapy on animal behavior, including pain sensitivity thresholds and locomotion characteristics. Herein, we describe a translational paradigm for the evaluation of an intra-articular drug delivery strategy in a rat OA model. This model, a rat interleukin-1β overexpression model, offers the ability to evaluate anti-interleukin-1 therapeutics for drug biodistribution, activity, and safety as well as the therapeutic relief of disease symptoms. Once the action against interleukin-1 is confirmed in vivo, the newly developed anti-inflammatory drug can be evaluated for evidence of disease-modifying effects in more complex preclinical models. PMID:19943805
Antimalarial Drug: From its Development to Deface.
Barik, Tapan Kumar
2015-01-01
Wiping out malaria is now the global concern as about three billion people are at risk of malaria infection globally. Despite of extensive research in the field of vaccine development for malaria, till now, no effective vaccine is available for use and hence only antimalarial drugs remain our best hope for both treatment and prevention of malaria. However, emergence and spread of drug resistance has been a major obstacle for the success of malaria elimination globally. This review will summarize the information related to antimalarial drugs, drug development strategies, drug delivery through nanoparticles, few current issues like adverse side effects of most antimalarial drugs, non availability of drugs in the market and use of fake/poor quality drugs that are hurdles to malaria control. As we don't have any other option in the present scenario, we have to take care of the existing tools and make them available to almost all malaria affected area.
Nitroimidazoles for the treatment of TB: past, present and future
Mukherjee, Tathagata; Boshoff, Helena
2011-01-01
Tuberculosis remains a leading cause of death resulting from an infectious agent, and the spread of multi- and extensively drug-resistant strains of Mycobacterium tuberculosis poses a threat to management of global health. New drugs that effectively shorten the duration of treatment and are active against drug-resistant strains of this pathogen are urgently required to develop effective chemotherapies to combat this disease. Two nitroimidazoles, PA-824 and OPC-67683, are currently in Phase II clinical trials for the treatment of TB and the outcome of these may determine the future directions of drug development for anti-tubercular nitroimidazoles. In this review we summarize the development of these nitroimidazoles and alternative analogs in these series that may offer attractive alternatives to PA-824 and OPC-67683 for further development in the drug-discovery pipeline. Lastly, the potential pitfalls in the development of nitroimidazoles as drugs for TB are discussed. PMID:21879846
Prenatal exposure to drugs: effects on brain development and implications for policy and education
Thompson, Barbara L.; Levitt, Pat; Stanwood, Gregg D.
2009-01-01
The effects of prenatal exposure to drugs on brain development are complex and are modulated by the timing, dose, and route of drug exposure. It is difficult to assess these effects in clinical cohorts, which are beset with multiple exposures and difficulties in documenting use patterns. This can lead to misinterpretation of research findings by the general public, the media and policy makers, who may mistakenly assume that the legal or illegal status of a drug correlates with its biological impact on fetal brain development and long-term clinical outcomes. It is important to close the gap between what science tells us about the impact of prenatal drug exposure on the fetus and the mother, and what we do programmatically with regard to at-risk populations. PMID:19277053
Maaswinkel, Hans; Zhu, Liqun; Weng, Wei
2015-04-02
New antimalarial drugs need to be developed because over time resistance against the existing drugs develops. Furthermore, some of the drugs have severe side effects. Here we describe a behavioral small-fish model for early detection of neurotoxic effects of new drugs. As case example we compare the effects of two mefloquine diastereomers on the behavior of goldfish using an automated 3D tracking system. In a preliminary experiment, the overall toxic effects in terms of motor and respiratory impairments were determined during a 3-hour exposure to the drugs at relatively high doses (21.5 and 43 mgL). In the second experiment, behavioral testing was performed 24 h after a 3.5-h drug exposure to a low dose (14.25 mgL) of either drug. For the two high doses, erythro-mefloquine resulted in severe motor problems and respiratory problems occurred. In goldfish treated with threo-mefloquine, at 43 mgL the motor/respiratory impairments were less severe and at 21.5 mgL no such problems were observed. For the lower dose (14.25 mgL), erythro-mefloquine reduced locomotion. There was also a tendency for increased freezing, and the preference for quadrant two of the observation container was increased. No behavioral effects of threo-mefloquine were found. The results demonstrate that in goldfish exposed to the drugs dissolved in the water, threo-mefloquine has less severe toxic effects as compared to erythro-mefloquine. These findings are consistent with other studies and support the usefulness of the small-fish model for predicting adverse effects of new antimalarial drugs during the initial phases of drug development.
Predicting drug side-effect profiles: a chemical fragment-based approach
2011-01-01
Background Drug side-effects, or adverse drug reactions, have become a major public health concern. It is one of the main causes of failure in the process of drug development, and of drug withdrawal once they have reached the market. Therefore, in silico prediction of potential side-effects early in the drug discovery process, before reaching the clinical stages, is of great interest to improve this long and expensive process and to provide new efficient and safe therapies for patients. Results In the present work, we propose a new method to predict potential side-effects of drug candidate molecules based on their chemical structures, applicable on large molecular databanks. A unique feature of the proposed method is its ability to extract correlated sets of chemical substructures (or chemical fragments) and side-effects. This is made possible using sparse canonical correlation analysis (SCCA). In the results, we show the usefulness of the proposed method by predicting 1385 side-effects in the SIDER database from the chemical structures of 888 approved drugs. These predictions are performed with simultaneous extraction of correlated ensembles formed by a set of chemical substructures shared by drugs that are likely to have a set of side-effects. We also conduct a comprehensive side-effect prediction for many uncharacterized drug molecules stored in DrugBank, and were able to confirm interesting predictions using independent source of information. Conclusions The proposed method is expected to be useful in various stages of the drug development process. PMID:21586169
Skårberg, Kurt; Nyberg, Fred; Engström, Ingemar
2008-01-01
Background The inappropriate use of anabolic androgenic steroids (AAS) was originally a problem among athletes but AAS are now often used in nonsport situations and by patients attending regular addiction clinics. The aim of this study was to improve understanding of the development of multiple drug use in patients seeking treatment at an addiction clinic for AAS-related problems. Methods We interviewed six patients (four men and two women) with experience of AAS use who were attending an addiction clinic for what they believed were AAS-related problems. The patients were interviewed in-depth about their life stories, with special emphasis on social background, substance use, the development of total drug use and subjective experienced psychological and physical side effects. Results There was significant variation in the development of drug use in relation to social background, onset of drug use, relationship to AAS use and experience of AAS effects. All patients had initially experienced positive effects from AAS but, over time, the negative experiences had outweighed the positive effects. All patients were dedicated to excess training and took AAS in combination with gym training, indicating that the use of these drugs is closely related to this form of training. Use of multiple drugs was common either in parallel with AAS use or serially. Conclusion The study shows the importance of understanding how AAS use can develop either with or without the concomitant use of other drugs of abuse. The use of AAS can, however, progress to the use of other drugs. The study also indicates the importance of obtaining accurate, comprehensive information about the development of AAS use in designing treatment programmes and prevention strategies in this area. PMID:19040748
Skårberg, Kurt; Nyberg, Fred; Engström, Ingemar
2008-11-28
The inappropriate use of anabolic androgenic steroids (AAS) was originally a problem among athletes but AAS are now often used in nonsport situations and by patients attending regular addiction clinics. The aim of this study was to improve understanding of the development of multiple drug use in patients seeking treatment at an addiction clinic for AAS-related problems. We interviewed six patients (four men and two women) with experience of AAS use who were attending an addiction clinic for what they believed were AAS-related problems. The patients were interviewed in-depth about their life stories, with special emphasis on social background, substance use, the development of total drug use and subjective experienced psychological and physical side effects. There was significant variation in the development of drug use in relation to social background, onset of drug use, relationship to AAS use and experience of AAS effects. All patients had initially experienced positive effects from AAS but, over time, the negative experiences had outweighed the positive effects. All patients were dedicated to excess training and took AAS in combination with gym training, indicating that the use of these drugs is closely related to this form of training. Use of multiple drugs was common either in parallel with AAS use or serially. The study shows the importance of understanding how AAS use can develop either with or without the concomitant use of other drugs of abuse. The use of AAS can, however, progress to the use of other drugs. The study also indicates the importance of obtaining accurate, comprehensive information about the development of AAS use in designing treatment programmes and prevention strategies in this area.
Search for Novel Antibacterial Compounds and Targets.
Kuroda, Teruo; Ogawa, Wakano
2017-01-01
Drug-resistant bacteria including methicillin-resistant Staphylococcus aureus (MRSA), multidrug-resistant Pseudomonas aeruginosa, and vancomycin-resistant enterococci (VRE) have been spreading; however, the development of new antibacterial drugs has not progressed accordingly. Novel antibacterial drugs or their candidate seeds need to be developed for effective antibiotic therapy. Under these conditions, the search for novel compounds and novel targets is important. In Okayama University, as a part of the Drug Discovery for Intractable Infectious Diseases project, we are proceeding with the development of antibacterial drugs for the treatment of drug-resistant bacterial infections. We found that riccardin C (a natural product of liverwort) and 6,6'-dihydroxythiobinupharidine (from the crude drug Senkotsu) exhibited strong antibacterial activities, particularly against Gram-positive bacteria. We showed that riccardin C induced cell membrane leakage and that 6,6'-dihydroxythiobinupharidine inhibited DNA topoisomerase IV. Moreover, 6,6'-dihydroxythiobinupharidine exerted synergistic effects with already known anti-MRSA drugs as well as with vancomycin for VRE.
Big Data: transforming drug development and health policy decision making.
Alemayehu, Demissie; Berger, Marc L
The explosion of data sources, accompanied by the evolution of technology and analytical techniques, has created considerable challenges and opportunities for drug development and healthcare resource utilization. We present a systematic overview these phenomena, and suggest measures to be taken for effective integration of the new developments in the traditional medical research paradigm and health policy decision making. Special attention is paid to pertinent issues in emerging areas, including rare disease drug development, personalized medicine, Comparative Effectiveness Research, and privacy and confidentiality concerns.
Yoshii, Yukie; Furukawa, Takako; Waki, Atsuo; Okuyama, Hiroaki; Inoue, Masahiro; Itoh, Manabu; Zhang, Ming-Rong; Wakizaka, Hidekatsu; Sogawa, Chizuru; Kiyono, Yasushi; Yoshii, Hiroshi; Fujibayashi, Yasuhisa; Saga, Tsuneo
2015-05-01
Anti-cancer drug development typically utilizes high-throughput screening with two-dimensional (2D) cell culture. However, 2D culture induces cellular characteristics different from tumors in vivo, resulting in inefficient drug development. Here, we report an innovative high-throughput screening system using nanoimprinting 3D culture to simulate in vivo conditions, thereby facilitating efficient drug development. We demonstrated that cell line-based nanoimprinting 3D screening can more efficiently select drugs that effectively inhibit cancer growth in vivo as compared to 2D culture. Metabolic responses after treatment were assessed using positron emission tomography (PET) probes, and revealed similar characteristics between the 3D spheroids and in vivo tumors. Further, we developed an advanced method to adopt cancer cells from patient tumor tissues for high-throughput drug screening with nanoimprinting 3D culture, which we termed Cancer tissue-Originated Uniformed Spheroid Assay (COUSA). This system identified drugs that were effective in xenografts of the original patient tumors. Nanoimprinting 3D spheroids showed low permeability and formation of hypoxic regions inside, similar to in vivo tumors. Collectively, the nanoimprinting 3D culture provides easy-handling high-throughput drug screening system, which allows for efficient drug development by mimicking the tumor environment. The COUSA system could be a useful platform for drug development with patient cancer cells. Copyright © 2015 Elsevier Ltd. All rights reserved.
Schmidt, Christian; Yokaichiya, Fabiano; Doğangüzel, Nurdan; Dias Franco, Margareth K K; Cavalcanti, Leide P; Brown, Mark A; Alkschbirs, Melissa I; de Araujo, Daniele R; Kumpugdee-Vollrath, Mont; Storsberg, Joachim
2016-09-15
An effective antitumor remedy is yet to be developed. All previous approaches for a targeted delivery of anticancer medicine have relied on trial and error. The goal of this study was to use structural insights gained from the study of delivery systems and malignant cells to provide for a systematic approach to the development of next-generation drugs. We used doxorubicin (Dox) liposomal formulations. We assayed for cytotoxicity via the electrical current exclusion method. Dialysis of the samples yielded information about their drug release profiles. Information about the surface of the delivery systems was obtained through synchrotron small-angle X-ray scattering (SAXS) measurements. SAXS measurements revealed that Dox-loading yielded an abraded surface of our Dox liposomal formulation containing soybean oil, which also correlated with an effective reduction of the survival of carcinoma cells. Furthermore, a dialysis assay revealed that a higher burst of Dox was released from soybean oil-containing preparations within the first five hours. We conclude from our results that an abraded surface of Dox-loaded drug delivery system increases their efficacy. The apparent match between surface geometry of drug delivery systems and target cells is suggested as a steppingstone for refined development of drug delivery systems. This is the first study to provide a systematic approach to developing next-generation drug carrier systems using structural insights to guide the development of next-generation drug delivery systems with increased efficacy and reduced side effects.
Incentives for orphan drug research and development in the United States.
Seoane-Vazquez, Enrique; Rodriguez-Monguio, Rosa; Szeinbach, Sheryl L; Visaria, Jay
2008-12-16
The Orphan Drug Act (1983) established several incentives to encourage the development of orphan drugs (ODs) to treat rare diseases and conditions. This study analyzed the characteristics of OD designations, approvals, sponsors, and evaluated the effective patent and market exclusivity life of orphan new molecular entities (NMEs) approved in the US between 1983 and 2007. Primary data sources were the FDA Orange Book, the FDA Office of Orphan Drugs Development, and the US Patent and Trademark Office. Data included all orphan designations and approvals listed by the FDA and all NMEs approved by the FDA during the study period. The FDA listed 1,793 orphan designations and 322 approvals between 1983 and 2007. Cancer was the main group of diseases targeted for orphan approvals. Eighty-three companies concentrated 67.7% of the total orphan NMEs approvals. The average time from orphan designation to FDA approval was 4.0 +/- 3.3 years (mean +/- standard deviation). The average maximum effective patent and market exclusivity life was 11.7 +/- 5.0 years for orphan NME. OD market exclusivity increased the average maximum effective patent and market exclusivity life of ODs by 0.8 years. Public programs, federal regulations, and policies support orphan drugs R&D. Grants, research design support, FDA fee waivers, tax incentives, and orphan drug market exclusivity are the main incentives for orphan drug R&D. Although the 7-year orphan drug market exclusivity provision had a positive yet relatively modest overall effect on effective patent and market exclusivity life, economic incentives and public support mechanisms provide a platform for continued orphan drug development for a highly specialized market.
Frueh, Felix W
2008-11-01
It is 10 years since the introduction of trastuzumab into the US market, and we are still waiting for a validation of the business case for biomarker-driven drug development. While many reasons for the lack of duplication of this model may exist, the need for accelerated innovation in drug development paired with the opportunity of integrating biomarker-driven research into drug development programs may lead to new and creative ways of fostering the cooperation between drug developers and test manufacturers. The rapid increase in knowledge about biomarkers and our understanding of disease and disease mechanisms open unprecedented prospects to make not only better, more informed decisions regarding patient care, but also strategic decisions during drug development. This requires that a biomarker strategy becomes an integral part of (early) drug development and that new, innovative paths are tried towards a model that combines the scientific approach with an economically feasible implementation strategy. Collaborative research, the use of new communication tools, the exploration of alternative ways to position a product in the market, and other considerations are part of such a strategy. This perspective article illustrates the current landscape and takes a look at some of these new ways for more effectively integrating biomarkers into drug development.
Acid-activatable oxidative stress-inducing polysaccharide nanoparticles for anticancer therapy.
Yoo, Wooyoung; Yoo, Donghyuck; Hong, Eunmi; Jung, Eunkyeong; Go, Yebin; Singh, S V Berwin; Khang, Gilson; Lee, Dongwon
2018-01-10
Drug delivery systems have been extensively developed to enhance the therapeutic efficacy of drugs by altering their pharmacokinetics and biodistribution. However, the use of high quantities of drug delivery systems can cause toxicity due to their poor metabolism and elimination. In this study, we developed polysaccharide-based drug delivery systems which exert potent therapeutic effects and could display synergistic therapeutic effects with drug payloads, leading to dose reduction. Cinnamaldehyde, a major component of cinnamon is known to induce anticancer activity by generating ROS (reactive oxygen species). We developed cinnamaldehyde-conjugated maltodextrin (CMD) as a polymeric prodrug of cinnamaldehyde and a drug carrier. Cinnamaldehyde was conjugated to the hydroxyl groups of maltodextrin via acid-cleavable acetal linkages, allowing facile formulation of nanoparticles and drug encapsulation. CMD nanoparticles induced acid-triggered ROS generation to induce apoptotic cell death. Camptothecin (CPT) was used as a model drug to investigate the potential of CMD nanoparticles as a drug carrier and also evaluate the synergistic anticancer effects with CMD nanoparticles. CPT-loaded CMD nanoparticles exhibited significantly higher anticancer activity than empty CMD nanoparticles and CPT alone in the study of mouse xenograft models, demonstrating the synergistic therapeutic effects of CMD with CPT. Taken together, we believe that CMD nanoparticles hold tremendous potential as a polymeric prodrug of cinnamaldehyde and a drug carrier in anticancer therapy. Copyright © 2017 Elsevier B.V. All rights reserved.
CNS Anticancer Drug Discovery and Development: 2016 conference insights
Levin, Victor A; Abrey, Lauren E; Heffron, Timothy P; Tonge, Peter J; Dar, Arvin C; Weiss, William A; Gallo, James M
2017-01-01
CNS Anticancer Drug Discovery and Development, 16-17 November 2016, Scottsdale, AZ, USA The 2016 second CNS Anticancer Drug Discovery and Development Conference addressed diverse viewpoints about why new drug discovery/development focused on CNS cancers has been sorely lacking. Despite more than 70,000 individuals in the USA being diagnosed with a primary brain malignancy and 151,669–286,486 suffering from metastatic CNS cancer, in 1999, temozolomide was the last drug approved by the US FDA as an anticancer agent for high-grade gliomas. Among the topics discussed were economic factors and pharmaceutical risk assessments, regulatory constraints and perceptions and the need for improved imaging surrogates of drug activity. Included were modeling tumor growth and drug effects in a medical environment in which direct tumor sampling for biological effects can be problematic, potential new drugs under investigation and targets for drug discovery and development. The long trajectory and diverse impediments to novel drug discovery, and expectation that more than one drug will be needed to adequately inhibit critical intracellular tumor pathways were viewed as major disincentives for most pharmaceutical/biotechnology companies. While there were a few unanimities, one consensus is the need for continued and focused discussion among academic and industry scientists and clinicians to address tumor targets, new drug chemistry, and more time- and cost-efficient clinical trials based on surrogate end points. PMID:28718326
Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study.
Rastegar-Mojarad, Majid; Liu, Hongfang; Nambisan, Priya
2016-06-16
Drug repurposing (defined as discovering new indications for existing drugs) could play a significant role in drug development, especially considering the declining success rates of developing novel drugs. Typically, new indications for existing medications are identified by accident. However, new technologies and a large number of available resources enable the development of systematic approaches to identify and validate drug-repurposing candidates. Patients today report their experiences with medications on social media and reveal side effects as well as beneficial effects of those medications. Our aim was to assess the feasibility of using patient reviews from social media to identify potential candidates for drug repurposing. We retrieved patient reviews of 180 medications from an online forum, WebMD. Using dictionary-based and machine learning approaches, we identified disease names in the reviews. Several publicly available resources were used to exclude comments containing known indications and adverse drug effects. After manually reviewing some of the remaining comments, we implemented a rule-based system to identify beneficial effects. The dictionary-based system and machine learning system identified 2178 and 6171 disease names respectively in 64,616 patient comments. We provided a list of 10 common patterns that patients used to report any beneficial effects or uses of medication. After manually reviewing the comments tagged by our rule-based system, we identified five potential drug repurposing candidates. To our knowledge, this is the first study to consider using social media data to identify drug-repurposing candidates. We found that even a rule-based system, with a limited number of rules, could identify beneficial effect mentions in patient comments. Our preliminary study shows that social media has the potential to be used in drug repurposing.
DeSigN: connecting gene expression with therapeutics for drug repurposing and development.
Lee, Bernard Kok Bang; Tiong, Kai Hung; Chang, Jit Kang; Liew, Chee Sun; Abdul Rahman, Zainal Ariff; Tan, Aik Choon; Khang, Tsung Fei; Cheong, Sok Ching
2017-01-25
The drug discovery and development pipeline is a long and arduous process that inevitably hampers rapid drug development. Therefore, strategies to improve the efficiency of drug development are urgently needed to enable effective drugs to enter the clinic. Precision medicine has demonstrated that genetic features of cancer cells can be used for predicting drug response, and emerging evidence suggest that gene-drug connections could be predicted more accurately by exploring the cumulative effects of many genes simultaneously. We developed DeSigN, a web-based tool for predicting drug efficacy against cancer cell lines using gene expression patterns. The algorithm correlates phenotype-specific gene signatures derived from differentially expressed genes with pre-defined gene expression profiles associated with drug response data (IC 50 ) from 140 drugs. DeSigN successfully predicted the right drug sensitivity outcome in four published GEO studies. Additionally, it predicted bosutinib, a Src/Abl kinase inhibitor, as a sensitive inhibitor for oral squamous cell carcinoma (OSCC) cell lines. In vitro validation of bosutinib in OSCC cell lines demonstrated that indeed, these cell lines were sensitive to bosutinib with IC 50 of 0.8-1.2 μM. As further confirmation, we demonstrated experimentally that bosutinib has anti-proliferative activity in OSCC cell lines, demonstrating that DeSigN was able to robustly predict drug that could be beneficial for tumour control. DeSigN is a robust method that is useful for the identification of candidate drugs using an input gene signature obtained from gene expression analysis. This user-friendly platform could be used to identify drugs with unanticipated efficacy against cancer cell lines of interest, and therefore could be used for the repurposing of drugs, thus improving the efficiency of drug development.
How drugs are developed and approved by the FDA: current process and future directions.
Ciociola, Arthur A; Cohen, Lawrence B; Kulkarni, Prasad
2014-05-01
This article provides an overview of FDA's regulatory processes for drug development and approval, and the estimated costs associated with the development of a drug, and also examines the issues and challenges facing the FDA in the near future. A literature search was performed using MEDLINE to summarize the current FDA drug approval processes and future directions. MEDLINE was further utilized to search for all cost analysis studies performed to evaluate the pharmaceutical industry R&D productivity and drug development cost estimates. While the drug approval process remains at high risk and spans over multiple years, the FDA drug review and approval process has improved, with the median approval time for new molecular drugs been reduced from 19 months to 10 months. The overall cost to development of a drug remains quite high and has been estimated to range from $868M to $1,241M USD. Several new laws have been enacted, including the FDA Safety and Innovation Act (FDASIA) of 2013, which is designed to improve the drug approval process and enhance access to new medicines. The FDA's improved processes for drug approval and post-market surveillance have achieved the goal of providing patients with timely access to effective drugs while minimizing the risk of drug-related harm. The FDA drug approval process is not without controversy, as a number of well-known gastroenterology drugs have been withdrawn from the US market over the past few years. With the approval of the new FDASIA law, the FDA will continue to improve their processes and, working together with the ACG through the FDA-Related Matters Committee, continue to develop safe and effective drugs for our patients.
Aging Biology and Novel Targets for Drug Discovery
McLachlan, Andrew J.; Quinn, Ronald J.; Simpson, Stephen J.; de Cabo, Rafael
2012-01-01
Despite remarkable technological advances in genetics and drug screening, the discovery of new pharmacotherapies has slowed and new approaches to drug development are needed. Research into the biology of aging is generating many novel targets for drug development that may delay all age-related diseases and be used long term by the entire population. Drugs that successfully delay the aging process will clearly become “blockbusters.” To date, the most promising leads have come from studies of the cellular pathways mediating the longevity effects of caloric restriction (CR), particularly target of rapamycin and the sirtuins. Similar research into pathways governing other hormetic responses that influence aging is likely to yield even more targets. As aging becomes a more attractive target for drug development, there will be increasing demand to develop biomarkers of aging as surrogate outcomes for the testing of the effects of new agents on the aging process. PMID:21693687
Early development of infants exposed to drugs prenatally.
Eyler, F D; Behnke, M
1999-03-01
This article includes a summary and critique of methodological limitations of the peer-reviewed studies of developmental outcome during the first 2 years in children prenatally exposed to the most commonly used drugs of abuse: tobacco, alcohol, marijuana, heroin/methadone, and cocaine. Reported effects vary by specific drug or drug combinations and amount and timing of exposure; however, few thresholds have been established. Drug effects also appear to be exacerbated in children with multiple risks, including poverty, and nonoptimal caregiving environments. Although prenatal exposure to any one drug cannot reliably predict the outcome of an individual child, it may be a marker for an array of variables that can impact development. Appropriate intervention strategies require future research that determines which factors place exposed children at risk and which are protective for optimal development.
Vallianatou, Theodosia; Strittmatter, Nicole; Nilsson, Anna; Shariatgorji, Mohammadreza; Hamm, Gregory; Pereira, Marcela; Källback, Patrik; Svenningsson, Per; Karlgren, Maria; Goodwin, Richard J A; Andrén, Per E
2018-05-15
There is a high need to develop quantitative imaging methods capable of providing detailed brain localization information of several molecular species simultaneously. In addition, extensive information on the effect of the blood-brain barrier on the penetration, distribution and efficacy of neuroactive compounds is required. Thus, we have developed a mass spectrometry imaging method to visualize and quantify the brain distribution of drugs with varying blood-brain barrier permeability. With this approach, we were able to determine blood-brain barrier transport of different drugs and define the drug distribution in very small brain structures (e.g., choroid plexus) due to the high spatial resolution provided. Simultaneously, we investigated the effect of drug-drug interactions by inhibiting the membrane transporter multidrug resistance 1 protein. We propose that the described approach can serve as a valuable analytical tool during the development of neuroactive drugs, as it can provide physiologically relevant information often neglected by traditional imaging technologies. Copyright © 2018. Published by Elsevier Inc.
Integrative relational machine-learning for understanding drug side-effect profiles
2013-01-01
Background Drug side effects represent a common reason for stopping drug development during clinical trials. Improving our ability to understand drug side effects is necessary to reduce attrition rates during drug development as well as the risk of discovering novel side effects in available drugs. Today, most investigations deal with isolated side effects and overlook possible redundancy and their frequent co-occurrence. Results In this work, drug annotations are collected from SIDER and DrugBank databases. Terms describing individual side effects reported in SIDER are clustered with a semantic similarity measure into term clusters (TCs). Maximal frequent itemsets are extracted from the resulting drug x TC binary table, leading to the identification of what we call side-effect profiles (SEPs). A SEP is defined as the longest combination of TCs which are shared by a significant number of drugs. Frequent SEPs are explored on the basis of integrated drug and target descriptors using two machine learning methods: decision-trees and inductive-logic programming. Although both methods yield explicit models, inductive-logic programming method performs relational learning and is able to exploit not only drug properties but also background knowledge. Learning efficiency is evaluated by cross-validation and direct testing with new molecules. Comparison of the two machine-learning methods shows that the inductive-logic-programming method displays a greater sensitivity than decision trees and successfully exploit background knowledge such as functional annotations and pathways of drug targets, thereby producing rich and expressive rules. All models and theories are available on a dedicated web site. Conclusions Side effect profiles covering significant number of drugs have been extracted from a drug ×side-effect association table. Integration of background knowledge concerning both chemical and biological spaces has been combined with a relational learning method for discovering rules which explicitly characterize drug-SEP associations. These rules are successfully used for predicting SEPs associated with new drugs. PMID:23802887
Integrative relational machine-learning for understanding drug side-effect profiles.
Bresso, Emmanuel; Grisoni, Renaud; Marchetti, Gino; Karaboga, Arnaud Sinan; Souchet, Michel; Devignes, Marie-Dominique; Smaïl-Tabbone, Malika
2013-06-26
Drug side effects represent a common reason for stopping drug development during clinical trials. Improving our ability to understand drug side effects is necessary to reduce attrition rates during drug development as well as the risk of discovering novel side effects in available drugs. Today, most investigations deal with isolated side effects and overlook possible redundancy and their frequent co-occurrence. In this work, drug annotations are collected from SIDER and DrugBank databases. Terms describing individual side effects reported in SIDER are clustered with a semantic similarity measure into term clusters (TCs). Maximal frequent itemsets are extracted from the resulting drug x TC binary table, leading to the identification of what we call side-effect profiles (SEPs). A SEP is defined as the longest combination of TCs which are shared by a significant number of drugs. Frequent SEPs are explored on the basis of integrated drug and target descriptors using two machine learning methods: decision-trees and inductive-logic programming. Although both methods yield explicit models, inductive-logic programming method performs relational learning and is able to exploit not only drug properties but also background knowledge. Learning efficiency is evaluated by cross-validation and direct testing with new molecules. Comparison of the two machine-learning methods shows that the inductive-logic-programming method displays a greater sensitivity than decision trees and successfully exploit background knowledge such as functional annotations and pathways of drug targets, thereby producing rich and expressive rules. All models and theories are available on a dedicated web site. Side effect profiles covering significant number of drugs have been extracted from a drug ×side-effect association table. Integration of background knowledge concerning both chemical and biological spaces has been combined with a relational learning method for discovering rules which explicitly characterize drug-SEP associations. These rules are successfully used for predicting SEPs associated with new drugs.
Tharwat, Alaa; Moemen, Yasmine S; Hassanien, Aboul Ella
2017-04-01
Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are expensive and time-consuming, indicating that they are not suitable for large-scale evaluation of drug toxicity in the early stage of drug development. Hence, there is a high demand to develop computational models that can predict the drug toxicity risks. In this study, we used a dataset that consists of 553 drugs that biotransformed in liver. The toxic effects were calculated for the current data, namely, mutagenic, tumorigenic, irritant and reproductive effect. Each drug is represented by 31 chemical descriptors (features). The proposed model consists of three phases. In the first phase, the most discriminative subset of features is selected using rough set-based methods to reduce the classification time while improving the classification performance. In the second phase, different sampling methods such as Random Under-Sampling, Random Over-Sampling and Synthetic Minority Oversampling Technique (SMOTE), BorderLine SMOTE and Safe Level SMOTE are used to solve the problem of imbalanced dataset. In the third phase, the Support Vector Machines (SVM) classifier is used to classify an unknown drug into toxic or non-toxic. SVM parameters such as the penalty parameter and kernel parameter have a great impact on the classification accuracy of the model. In this paper, Whale Optimization Algorithm (WOA) has been proposed to optimize the parameters of SVM, so that the classification error can be reduced. The experimental results proved that the proposed model achieved high sensitivity to all toxic effects. Overall, the high sensitivity of the WOA+SVM model indicates that it could be used for the prediction of drug toxicity in the early stage of drug development. Copyright © 2017 Elsevier Inc. All rights reserved.
Motivating the Drug Addict in Treatment
ERIC Educational Resources Information Center
St. Pierre, C. Andre
1971-01-01
Experience with numbers of drug addicts has shown them to be singularly unmotivated to discontinue drug use. To develop motivation, a treatment program is described in terms of motivational progression: (1) confrontation of the problem; (2) development of an intellectual understanding of the problem and its harmful effects; and (3) development of…
Igarashi, Masayuki; Ishizaki, Yoshimasa; Takahashi, Yoshiaki
2017-11-01
Tuberculosis is one of the most common and challenging infectious diseases worldwide. Especially, the lack of effective chemotherapeutic drugs for tuberculosis/human immunodeficiency virus co-infection and prevalence of multidrug-resistant and extensively drug-resistant tuberculosis remain to be serious clinical problems. Development of new drugs is a potential solution to fight tuberculosis. In this decade, the development status of new antituberculous drugs has been greatly advanced by the leading role of international organizations such as the Global Alliance for Tuberculosis Drug Development, Stop Tuberculosis Partnership and Global Health Innovative Technology Fund. In this review, we introduce the development status of new drugs for tuberculosis, focusing on those derived from natural products.The Journal of Antibiotics advance online publication, 1 November 2017; doi:10.1038/ja.2017.126.
A theory of drug tolerance and dependence I: a conceptual analysis.
Peper, Abraham
2004-08-21
A mathematical model of drug tolerance and its underlying theory is presented. The model extends a first approach, published previously. The model is essentially more complex than the generally used model of homeostasis, which is demonstrated to fail in describing tolerance development to repeated drug administrations. The model assumes the development of tolerance to a repeatedly administered drug to be the result of a regulated adaptive process. The oral detection and analysis of exogenous substances is proposed to be the primary stimulus for the mechanism of drug tolerance. Anticipation and environmental cues are in the model considered secondary stimuli, becoming primary only in dependence and addiction or when the drug administration bypasses the natural-oral-route, as is the case when drugs are administered intravenously. The model considers adaptation to the effect of a drug and adaptation to the interval between drug taking autonomous tolerance processes. Simulations with the mathematical model demonstrate the model's behavior to be consistent with important characteristics of the development of tolerance to repeatedly administered drugs: the gradual decrease in drug effect when tolerance develops, the high sensitivity to small changes in drug dose, the rebound phenomenon and the large reactions following withdrawal in dependence. The mathematical model verifies the proposed theory and provides a basis for the implementation of mathematical models of specific physiological processes. In addition, it establishes a relation between the drug dose at any moment, and the resulting drug effect and relates the magnitude of the reactions following withdrawal to the rate of tolerance and other parameters involved in the tolerance process. The present paper analyses the concept behind the model. The next paper discusses the mathematical model.
Umemura, Maki
2010-01-01
Unlike its automobile or electronics industries, Japan's pharmaceutical industry did not become a global leader. Japan remains a net importer of pharmaceuticals and has introduced few global blockbuster drugs. Alfred Chandler argued that Japan's pharmaceutical firms remained relatively weak because Western firms enjoyed an insurmountable first first-mover advantage. However, this case study of the anticancer drug sector illustrates that Chandler's explanation is incomplete. Japanese medical culture, government policy, and research environment also played a substantial role in shaping the industry. In the 1970s and 1980s, these factors encouraged firms to develop little few effective drugs with low side effects, and profit from Japan's domestic market. But, these drugs were unsuitable to foreign markets with more demanding efficacy standards. As a result, Japan not only lost more than a decade in developing ineffective drugs, but also neglected to create the infrastructure necessary to develop innovative drugs and build a stronger pharmaceutical industry.
The druggable genome and support for target identification and validation in drug development.
Finan, Chris; Gaulton, Anna; Kruger, Felix A; Lumbers, R Thomas; Shah, Tina; Engmann, Jorgen; Galver, Luana; Kelley, Ryan; Karlsson, Anneli; Santos, Rita; Overington, John P; Hingorani, Aroon D; Casas, Juan P
2017-03-29
Target identification (determining the correct drug targets for a disease) and target validation (demonstrating an effect of target perturbation on disease biomarkers and disease end points) are important steps in drug development. Clinically relevant associations of variants in genes encoding drug targets model the effect of modifying the same targets pharmacologically. To delineate drug development (including repurposing) opportunities arising from this paradigm, we connected complex disease- and biomarker-associated loci from genome-wide association studies to an updated set of genes encoding druggable human proteins, to agents with bioactivity against these targets, and, where there were licensed drugs, to clinical indications. We used this set of genes to inform the design of a new genotyping array, which will enable association studies of druggable genes for drug target selection and validation in human disease. Copyright © 2017, American Association for the Advancement of Science.
Do drug prices reflect development time and government investment?
Keyhani, Salomeh; Diener-West, Marie; Powe, Neil
2005-08-01
Lengthy development times are cited by the pharmaceutical industry as one reason for high drug prices. We compared the prices of different groups of drugs after accounting for development time, government support, market size, and other drug characteristics. We conducted a retrospective study of 180 human therapeutic drugs categorized into 8 drug groups by assembling data on drug development times, government support, drug characteristics, and prices. First, we compared the development time and level of government support across the 8 drug groups. Second, we assessed the independent effect of drug group on median price per day in a multivariable analysis, controlling for development time and all other variables. Thirty percent of antiretroviral drugs had government patents compared with 16% of other infectious disease drugs, 6% of cancer drugs, and less than 6% of any other drug group (P < 0.002). Fifty percent of antiretrovirals had NIH trials listed in the new drug application for approval by the Food and Drug Administration compared with less than 6% of any other drug group (P < 0.001). More antiretroviral and cancer drugs received fast track status and accelerated review during regulatory review by the Food and Drug Administration (P < 0.001). The median price of antiretrovirals was 8 US dollars per day more, cancer drugs 11 US dollars per day more, than the reference group after adjustment for other variables (P < 0.001). Development time was not associated with drug price. Antiretroviral and cancer drugs, even after accounting for development time, are among the most highly priced medications. Notably, drugs with rapid development and more government support did not have lower drug prices.
Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs
NASA Astrophysics Data System (ADS)
Lee, Eugene K.; Kurokawa, Yosuke K.; Tu, Robin; George, Steven C.; Khine, Michelle
2015-07-01
Current preclinical screening methods do not adequately detect cardiotoxicity. Using human induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs), more physiologically relevant preclinical or patient-specific screening to detect potential cardiotoxic effects of drug candidates may be possible. However, one of the persistent challenges for developing a high-throughput drug screening platform using iPS-CMs is the need to develop a simple and reliable method to measure key electrophysiological and contractile parameters. To address this need, we have developed a platform that combines machine learning paired with brightfield optical flow as a simple and robust tool that can automate the detection of cardiomyocyte drug effects. Using three cardioactive drugs of different mechanisms, including those with primarily electrophysiological effects, we demonstrate the general applicability of this screening method to detect subtle changes in cardiomyocyte contraction. Requiring only brightfield images of cardiomyocyte contractions, we detect changes in cardiomyocyte contraction comparable to - and even superior to - fluorescence readouts. This automated method serves as a widely applicable screening tool to characterize the effects of drugs on cardiomyocyte function.
21 CFR 201.24 - Labeling for systemic antibacterial drug products.
Code of Federal Regulations, 2011 CFR
2011-04-01
... development of drug-resistant bacteria and maintain the effectiveness of (insert name of antibacterial drug... treat or prevent infections that are proven or strongly suspected to be caused by bacteria. (b) In the “Indications and Usage” section, the labeling must state: To reduce the development of drug-resistant bacteria...
21 CFR 201.24 - Labeling for systemic antibacterial drug products.
Code of Federal Regulations, 2010 CFR
2010-04-01
... development of drug-resistant bacteria and maintain the effectiveness of (insert name of antibacterial drug... treat or prevent infections that are proven or strongly suspected to be caused by bacteria. (b) In the “Indications and Usage” section, the labeling must state: To reduce the development of drug-resistant bacteria...
21 CFR 201.24 - Labeling for systemic antibacterial drug products.
Code of Federal Regulations, 2014 CFR
2014-04-01
... development of drug-resistant bacteria and maintain the effectiveness of (insert name of antibacterial drug... treat or prevent infections that are proven or strongly suspected to be caused by bacteria. (b) In the “Indications and Usage” section, the labeling must state: To reduce the development of drug-resistant bacteria...
21 CFR 201.24 - Labeling for systemic antibacterial drug products.
Code of Federal Regulations, 2012 CFR
2012-04-01
... development of drug-resistant bacteria and maintain the effectiveness of (insert name of antibacterial drug... treat or prevent infections that are proven or strongly suspected to be caused by bacteria. (b) In the “Indications and Usage” section, the labeling must state: To reduce the development of drug-resistant bacteria...
21 CFR 201.24 - Labeling for systemic antibacterial drug products.
Code of Federal Regulations, 2013 CFR
2013-04-01
... development of drug-resistant bacteria and maintain the effectiveness of (insert name of antibacterial drug... treat or prevent infections that are proven or strongly suspected to be caused by bacteria. (b) In the “Indications and Usage” section, the labeling must state: To reduce the development of drug-resistant bacteria...
The behavioral pharmacology and therapeutic potential of lorcaserin for substance use disorders.
Collins, Gregory T; Gerak, Lisa R; France, Charles P
2017-12-12
Substance abuse is serious public health problem for which there are few effective pharmacotherapies. Traditional strategies for drug development have focused on antagonists to block the abuse-related effects of a drug at its site of action, and agonists to replace/mimic the effects of the abused substance. However, recent efforts have targeted receptors, such as serotonin (5-HT) 2 receptors, that can indirectly modulate dopamine neurotransmission with the goal of developing a pharmacotherapy that might be effective at reducing the abuse-related effects of drugs more generally. Lorcaserin is a 5-HT 2C receptor-preferring agonist that is approved by the US Food and Drug Administration for the treatment of obesity. Mounting evidence from preclinical and clinical studies suggests that lorcaserin might also be effective at reducing the abuse-related effects of drugs with different pharmacological mechanisms (e.g., cocaine, heroin, ethanol, and nicotine). Lorcaserin represents a promising and important first step towards the development a new class of pharmacotherapies that have the potential to dramatically improve the treatment of substance abuse. This article will review the behavioral pharmacology of 5-HT 2C receptor-preferring agonists, with a focus on lorcaserin, and evaluate the preclinical evidence supporting the development of lorcaserin for treating substance abuse. Copyright © 2017 Elsevier Ltd. All rights reserved.
Drexler, B; Hentschke, H; Antkowiak, B; Grasshoff, C
2010-01-01
The development of neuroactive drugs is a time consuming procedure. Candidate drugs must be run through a battery of tests, including receptor studies and behavioural tests on animals. As a rule, numerous substances with promising properties as assessed in receptor studies must be eliminated from the development pipeline in advanced test phases because of unforeseen problems like intolerable side-effects or unsatisfactory performance in the whole organism. Clearly, test systems of intermediate complexity would alleviate this inefficiency. In this review, we propose cultured organotypic brain slices as model systems that could bridge the 'interpolation gap' between receptors and the brain, with a focus on the development of new general anaesthetics with lesser side effects. General anaesthesia is based on the modulation of neurotransmitter receptors and other conductances located on neurons in diverse brain regions, including cerebral cortex and spinal cord. It is well known that different components of general anaesthesia, e.g. hypnosis and immobility, are produced by the depression of neuronal activity in distinct brain regions. The ventral horn of the spinal cord is an important structure for the induction of immobility. Thus, the potentially immobilizing effects of a newly designed drug can be estimated from its depressant effect on neuronal network activity in cultured spinal slices. A drug's sedative and hypnotic potential can be examined in cortical cultures. Combined with genetically engineered mice, this approach can point to receptor subtypes most relevant to the drug's intended net effect and in return can help in the design of more selective drugs. In conclusion, the use of organotypic cultures permits predictions of neuroactive properties of newly designed drugs on an intermediate level, and should therefore open up avenues for a more creative and economic drug development process.
Alam, Fahmida; Islam, Md Asiful; Kamal, M A; Gan, Siew Hua
2016-08-13
Over the years, natural products have shown success as antidiabetics in vitro, in vivo and in clinical trials. Because natural product-derived drugs are more affordable and effective with fewer side-effects compared to conventional therapies, pharmaceutical research is increasingly leaning towards the discovery of new antidiabetic drugs from natural products targeting pathways or components associated with type 2 diabetes mellitus (T2DM) pathophysiology. However, the drug discovery process is very lengthy and costly with significant challenges. Therefore, various techniques are currently being developed for the preclinical research phase of drug discovery with the aim of drug development with less time and efforts from natural products. In this review, we have provided an update on natural products including fruits, vegetables, spices, nuts, beverages and mushrooms with potential antidiabetic activities from in vivo, in vitro and clinical studies. Synergistic interactions between natural products and antidiabetic drugs; and potential antidiabetic active compounds from natural products are also documented to pave the way for combination treatment and new drug discovery, respectively. Additionally, a brief idea of the drug discovery process along with the challenges that arise during drug development from natural products and the methods to conquer those challenges are discussed to create a more convenient future drug discovery process.
Discovery of Boolean metabolic networks: integer linear programming based approach.
Qiu, Yushan; Jiang, Hao; Ching, Wai-Ki; Cheng, Xiaoqing
2018-04-11
Traditional drug discovery methods focused on the efficacy of drugs rather than their toxicity. However, toxicity and/or lack of efficacy are produced when unintended targets are affected in metabolic networks. Thus, identification of biological targets which can be manipulated to produce the desired effect with minimum side-effects has become an important and challenging topic. Efficient computational methods are required to identify the drug targets while incurring minimal side-effects. In this paper, we propose a graph-based computational damage model that summarizes the impact of enzymes on compounds in metabolic networks. An efficient method based on Integer Linear Programming formalism is then developed to identify the optimal enzyme-combination so as to minimize the side-effects. The identified target enzymes for known successful drugs are then verified by comparing the results with those in the existing literature. Side-effects reduction plays a crucial role in the study of drug development. A graph-based computational damage model is proposed and the theoretical analysis states the captured problem is NP-completeness. The proposed approaches can therefore contribute to the discovery of drug targets. Our developed software is available at " http://hkumath.hku.hk/~wkc/APBC2018-metabolic-network.zip ".
Osteoporosis treatment: recent developments and ongoing challenges
Khosla, Sundeep; Hofbauer, Lorenz C
2018-01-01
Osteoporosis is an enormous and growing public health problem. Once considered an inevitable consequence of ageing, it is now eminently preventable and treatable. Ironically, despite tremendous therapeutic advances, there is an increasing treatment gap for patients at high fracture risk. In this Series paper, we trace the evolution of drug therapy for osteoporosis, which began in the 1940s with the demonstration by Fuller Albright that treatment with oestrogen could reverse the negative calcium balance that developed in women after menopause or oophorectomy. We note a watershed in osteoporosis drug discovery around the year 2000, when the approach to developing novel therapeutics shifted from one driven by discoveries in animal studies and clinical observations (eg, oestrogen, calcitonin, and teriparatide) or opportunistic repurposing of existing compounds (eg, bisphosphonates) to one driven by advances in fundamental bone biology (eg, denosumab) coupled with clues from patients with rare bone diseases (eg, romosozumab, odanacatib). Despite these remarkable advances, concerns about rare side-effects of anti-resorptive drugs, particularly bisphosphonates, and the absence of clear evidence in support of their long-term efficacy is leading many patients who could benefit from drug therapy to not take these drugs. As such, there remains an important clinical need to develop ways to enhance patient acceptance and compliance with these effective drugs, and to continue to develop new drugs that do not cause these side-effects and have prolonged anabolic effects on bone. Such changes could lead to a true reversal of this potentially devastating disease of ageing. PMID:28689769
A cross-species analysis method to analyze animal models' similarity to human's disease state
2012-01-01
Background Animal models are indispensable tools in studying the cause of human diseases and searching for the treatments. The scientific value of an animal model depends on the accurate mimicry of human diseases. The primary goal of the current study was to develop a cross-species method by using the animal models' expression data to evaluate the similarity to human diseases' and assess drug molecules' efficiency in drug research. Therefore, we hoped to reveal that it is feasible and useful to compare gene expression profiles across species in the studies of pathology, toxicology, drug repositioning, and drug action mechanism. Results We developed a cross-species analysis method to analyze animal models' similarity to human diseases and effectiveness in drug research by utilizing the existing animal gene expression data in the public database, and mined some meaningful information to help drug research, such as potential drug candidates, possible drug repositioning, side effects and analysis in pharmacology. New animal models could be evaluated by our method before they are used in drug discovery. We applied the method to several cases of known animal model expression profiles and obtained some useful information to help drug research. We found that trichostatin A and some other HDACs could have very similar response across cell lines and species at gene expression level. Mouse hypoxia model could accurately mimic the human hypoxia, while mouse diabetes drug model might have some limitation. The transgenic mouse of Alzheimer was a useful model and we deeply analyzed the biological mechanisms of some drugs in this case. In addition, all the cases could provide some ideas for drug discovery and drug repositioning. Conclusions We developed a new cross-species gene expression module comparison method to use animal models' expression data to analyse the effectiveness of animal models in drug research. Moreover, through data integration, our method could be applied for drug research, such as potential drug candidates, possible drug repositioning, side effects and information about pharmacology. PMID:23282076
A cross-species analysis method to analyze animal models' similarity to human's disease state.
Yu, Shuhao; Zheng, Lulu; Li, Yun; Li, Chunyan; Ma, Chenchen; Li, Yixue; Li, Xuan; Hao, Pei
2012-01-01
Animal models are indispensable tools in studying the cause of human diseases and searching for the treatments. The scientific value of an animal model depends on the accurate mimicry of human diseases. The primary goal of the current study was to develop a cross-species method by using the animal models' expression data to evaluate the similarity to human diseases' and assess drug molecules' efficiency in drug research. Therefore, we hoped to reveal that it is feasible and useful to compare gene expression profiles across species in the studies of pathology, toxicology, drug repositioning, and drug action mechanism. We developed a cross-species analysis method to analyze animal models' similarity to human diseases and effectiveness in drug research by utilizing the existing animal gene expression data in the public database, and mined some meaningful information to help drug research, such as potential drug candidates, possible drug repositioning, side effects and analysis in pharmacology. New animal models could be evaluated by our method before they are used in drug discovery. We applied the method to several cases of known animal model expression profiles and obtained some useful information to help drug research. We found that trichostatin A and some other HDACs could have very similar response across cell lines and species at gene expression level. Mouse hypoxia model could accurately mimic the human hypoxia, while mouse diabetes drug model might have some limitation. The transgenic mouse of Alzheimer was a useful model and we deeply analyzed the biological mechanisms of some drugs in this case. In addition, all the cases could provide some ideas for drug discovery and drug repositioning. We developed a new cross-species gene expression module comparison method to use animal models' expression data to analyse the effectiveness of animal models in drug research. Moreover, through data integration, our method could be applied for drug research, such as potential drug candidates, possible drug repositioning, side effects and information about pharmacology.
Neophytou, Christiana M.; Constantinou, Andreas I.
2015-01-01
Vitamin E isoforms have been extensively studied for their anticancer properties. Novel drug delivery systems (DDS) that include liposomes, nanoparticles, and micelles are actively being developed to improve Vitamin E delivery. Furthermore, several drug delivery systems that incorporate Vitamin E isoforms have been synthesized in order to increase the bioavailability of chemotherapeutic agents or to provide a synergistic effect. D-alpha-tocopheryl polyethylene glycol succinate (Vitamin E TPGS or TPGS) is a synthetic derivative of natural alpha-tocopherol which is gaining increasing interest in the development of drug delivery systems and has also shown promising anticancer effect as a single agent. This review provides a summary of the properties and anticancer effects of the most potent Vitamin E isoforms and an overview of the various formulations developed to improve their efficacy, with an emphasis on the use of TPGS in drug delivery approaches. PMID:26137487
Cytokines in cancer drug resistance: Cues to new therapeutic strategies.
Jones, Valerie Sloane; Huang, Ren-Yu; Chen, Li-Pai; Chen, Zhe-Sheng; Fu, Liwu; Huang, Ruo-Pan
2016-04-01
The development of oncoprotein-targeted anticancer drugs is an invaluable weapon in the war against cancer. However, cancers do not give up without a fight. They may develop multiple mechanisms of drug resistance, including apoptosis inhibition, drug expulsion, and increased proliferation that reduce the effectiveness of the drug. The collective work of researchers has highlighted the role of cytokines in the mechanisms of cancer drug resistance, as well as in cancer cell progression. Furthermore, recent studies have described how specific cytokines secreted by cancer stromal cells confer resistance to chemotherapeutic treatments. In order to gain a better understanding of mechanism of cancer drug resistance and a prediction of treatment outcome, it is imperative that correlations are established between global cytokine profiles and cancer drug resistance. Here we discuss the recent discoveries in this field of research and discuss their implications for the future development of effective anti-cancer medicines. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Chandra, Pallavi; Rajmani, R S; Verma, Garima; Bhavesh, Neel Sarovar; Kumar, Dhiraj
2016-01-01
In view of emerging drug resistance among bacterial pathogens, including Mycobacterium tuberculosis, the development of novel therapeutic strategies is increasingly being sought. A recent paradigm in antituberculosis (anti-TB) drug development is to target the host molecules that are crucial for intracellular survival of the pathogen. We previously showed the importance of Src tyrosine kinases in mycobacterial pathogenesis. Here, we report that inhibition of Src significantly reduced survival of H37Rv as well as multidrug-resistant (MDR) and extremely drug-resistant (XDR) strains of M. tuberculosis in THP-1 macrophages. Src inhibition was also effective in controlling M. tuberculosis infection in guinea pigs. In guinea pigs, reduced M. tuberculosis burden due to Src inhibition also led to a marked decline in the disease pathology. In agreement with the theoretical framework of host-directed approaches against the pathogen, Src inhibition was equally effective against an XDR strain in controlling infection in guinea pigs. We propose that Src inhibitors could be developed into effective host-directed anti-TB drugs, which could be indiscriminately used against both drug-sensitive and drug-resistant strains of M. tuberculosis. IMPORTANCE The existing treatment regimen for tuberculosis (TB) suffers from deficiencies like high doses of antibiotics, long treatment duration, and inability to kill persistent populations in an efficient manner. Together, these contribute to the emergence of drug-resistant tuberculosis. Recently, several host factors were identified which help intracellular survival of Mycobacterium tuberculosis within the macrophage. These factors serve as attractive targets for developing alternate therapeutic strategies against M. tuberculosis. This strategy promises to be effective against drug-resistant strains. The approach also has potential to considerably lower the risk of emergence of new drug-resistant strains. We explored tyrosine kinase Src as a host factor exploited by virulent M. tuberculosis for intracellular survival. We show that Src inhibition can effectively control tuberculosis in infected guinea pigs. Moreover, Src inhibition ameliorated TB-associated pathology in guinea pigs. Thus, Src inhibitors have strong potential to be developed as possible anti-TB drugs.
Photo-pharmaceutical therapy: features and prospects
NASA Astrophysics Data System (ADS)
Zharov, Vladimir P.; Potapenko, Alexander Y.; Minenkov, Alexander A.
2001-07-01
This article is an attempt to analyze the concept, distinguishing features and possible application of photo- pharmaceutical therapy (PPT). Besides photopheresis, PUVA, and photodynamic therapy, PPT also embraces a broad spectrum of various combinations of light and drugs. PPT techniques can be classified according to the role of light in drug therapy into several groups: 1) Light activation of drugs before, during or after their administration, 2) light activation of cells of biotissue to potentiate the pharmaceutical effect of drugs, 3) light assisted drug delivery, 4) optical sensing of drug action at cellular and subcellular levels, and 5) selective photochemistry of drugs during their manufacturing. PPT seeks to describe the mechanisms of light-drug interaction, to time and sequence light-drug action, and to verify their synergetic effect. This article yields the results of developing new PPT modifications created in collaboration with some Russian scientific institutes and medical centers. The developed modifications are as follows: 1) drug pre-administration photoactivation, 2) antibody-photoconformation photoimmunotherapy, 3) photophonophoresis with a blend of photosensitizers and antibiotics, 4) photoelectrophoresis, 5) drug effect enhancement due to laser-induced blood circulation activation, 6) photoimmunization with alpha- fetoprotein, 7) photo-pharmaceutical dosimetry, and 8) a rapid drug toxicity photoassay.
The worldwide trend of using botanical drugs and strategies for developing global drugs.
Ahn, Kyungseop
2017-03-01
Natural product drugs, or botanical drugs, are drugs composed of natural substances which have constituents with healthenhancing or medicinal activities. In Korea, government-led projects brought attention to botanical drugs invigorating domestic botanical drug industry. Foreign markets, as well, are growing bigger as the significance of botanical drugs stood out. To follow along with the tendency, Korea puts a lot of effort on developing botanical drugs suitable for global market. However, standards for approving drug sales vary by countries. And also, thorough standardization, certification, clinical studies and data of these will be required as well as data confirming safety and effectiveness. Meanwhile, as an international exchange in botanical drug market continues, the importance of plant resources was emphasized. Thus countries' ownership of domestic natural resources became vital. Not only establishing a systematic method to secure domestic plant resources, but also cooperation with other countries on sharing natural resources is essential to procure natural resources effectively. Korea started to show visible results with botanical drugs, and asthma/COPD treatment made out of speedwell is one example. Sufficient investment and government's active support for basic infrastructure for global botanical drugs will bring Korea to much higher level of botanical drug development. [BMB Reports 2017; 50(3): 111-116].
Biocompatible and biodegradable fibrinogen microspheres for tumor-targeted doxorubicin delivery
Joo, Jae Yeon; Park, Gil Yong; An, Seong Soo A
2015-01-01
In the development of effective drug delivery carriers, many researchers have focused on the usage of nontoxic and biocompatible materials and surface modification with targeting molecules for tumor-specific drug delivery. Fibrinogen (Fbg), an abundant glycoprotein in plasma, could be a potential candidate for developing drug carriers because of its biocompatibility and tumor-targeting property via arginine–glycine–aspartate (RGD) peptide sequences. Doxorubicin (DOX), a chemotherapeutic agent, was covalently conjugated to Fbg, and the microspheres were prepared. Acid-labile and non-cleavable linkers were used for the conjugation of DOX to Fbg, resulting in an acid-triggered drug release under a mild acidic condition and a slow-controlled drug release, respectively. In vitro cytotoxicity tests confirmed low cytotoxicity in normal cells and high antitumor effect toward cancer cells. In addition, it was discovered that a longer linker could make the binding of cells to Fbg drug carriers easier. Therefore, DOX–linker–Fbg microspheres could be a suitable drug carrier for safer and effective drug delivery. PMID:26366073
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Exploring Spanish health social media for detecting drug effects.
Segura-Bedmar, Isabel; Martínez, Paloma; Revert, Ricardo; Moreno-Schneider, Julián
2015-01-01
Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high incidence and increasing health care costs. Reporting systems are available in order for both healthcare professionals and patients to alert about possible ADRs. However, several studies have shown that these adverse events are underestimated. Our hypothesis is that health social networks could be a significant information source for the early detection of ADRs as well as of new drug indications. In this work we present a system for detecting drug effects (which include both adverse drug reactions as well as drug indications) from user posts extracted from a Spanish health forum. Texts were processed using MeaningCloud, a multilingual text analysis engine, to identify drugs and effects. In addition, we developed the first Spanish database storing drugs as well as their effects automatically built from drug package inserts gathered from online websites. We then applied a distant-supervision method using the database on a collection of 84,000 messages in order to extract the relations between drugs and their effects. To classify the relation instances, we used a kernel method based only on shallow linguistic information of the sentences. Regarding Relation Extraction of drugs and their effects, the distant supervision approach achieved a recall of 0.59 and a precision of 0.48. The task of extracting relations between drugs and their effects from social media is a complex challenge due to the characteristics of social media texts. These texts, typically posts or tweets, usually contain many grammatical errors and spelling mistakes. Moreover, patients use lay terminology to refer to diseases, symptoms and indications that is not usually included in lexical resources in languages other than English.
Drug Delivery Systems and Combination Therapy by Using Vinca Alkaloids
Lee, Chun-Ting; Huang, Yen-Wei; Yang, Chih-Hui; Huang, Keng-Shiang
2015-01-01
Developing new methods for chemotherapy drug delivery has become a topic of great concern. Vinca alkaloids are among the most widely used chemotherapy reagents for tumor therapy; however, their side effects are particularly problematic for many medical doctors. To reduce the toxicity and enhance the therapeutic efficiency of vinca alkaloids, many researchers have developed strategies such as using liposome-entrapped drugs, chemical- or peptide-modified drugs, polymeric packaging drugs, and chemotherapy drug combinations. This review mainly focuses on the development of a vinca alkaloid drug delivery system and the combination therapy. Five vinca alkaloids (eg, vincristine, vinblastine, vinorelbine, vindesine, and vinflunine) are reviewed. PMID:25877096
Liu, Jia; Qi, Chao; Tao, Kaixiong; Zhang, Jinxiang; Zhang, Jian; Xu, Luming; Jiang, Xulin; Zhang, Yunti; Huang, Lei; Li, Qilin; Xie, Hongjian; Gao, Jinbo; Shuai, Xiaoming; Wang, Guobin; Wang, Zheng; Wang, Lin
2016-03-01
Severe side effects of cancer chemotherapy prompt developing better drug delivery systems. Injectable hydrogels are an effective site-target system. For most of injectable hydrogels, once delivered in vivo, some properties including drug release and degradation, which are critical to chemotherapeutic effects and safety, are challenging to monitor. Developing a drug delivery system for effective cancer therapy with in vivo real-time noninvasive trackability is highly desired. Although fluorescence dyes are used for imaging hydrogels, the cytotoxicity limits their applications. By using sericin, a natural photoluminescent protein from silk, we successfully synthesized a hydrazone cross-linked sericin/dextran injectable hydrogel. This hydrogel is biodegradable and biocompatible. It achieves efficient drug loading and controlled release of both macromolecular and small molecular drugs. Notably, sericin's photoluminescence from this hydrogel is directly and stably correlated with its degradation, enabling long-term in vivo imaging and real-time monitoring of the remaining drug. The hydrogel loaded with Doxorubicin significantly suppresses tumor growth. Together, the work demonstrates the efficacy of this drug delivery system, and the in vivo effectiveness of this sericin-based optical monitoring strategy, providing a potential approach for improving hydrogel design toward optimal efficiency and safety of chemotherapies, which may be widely applicable to other drug delivery systems.
Castañeda-Hernández, G; Granados-Soto, V
2000-03-01
It is frequently assumed that pharmacological responses depend solely on the extent of drug binding to its receptor according to the occupational theory. It is therefore presumed that the intensity of the effect is determined by drug concentration at its receptor site, yielding a unique concentration-effect relationship. However, when dependence, abstinence, and tolerance phenomena occur, as well as for pharmacological responses in vivo that are modulated by homeostatic mechanisms, the rate of drug input shifts the concentration-effect relationship. Hence, such responses cannot be explained on the sole basis of the extent of drug binding to its receptor. Information on the cellular and molecular processes involved in the generation of abstinence, dependence, and tolerance will undoubtedly result in the development of pharmacodynamic models allowing a satisfactory explanation of drug effects modulated by these phenomena. Notwithstanding, integrative physiology concepts are required to develop pharmacokinetic-pharmacodynamic models allowing the description of drug effects in an intact organism. It is therefore important to emphasize that integrative physiology cannot be neglected in pharmacology teaching and research, but should be considered as an equally valuable tool as molecular biology and other biomedical disciplines for the understanding of pharmacological effects.
Future technology insight: mass spectrometry imaging as a tool in drug research and development
Cobice, D F; Goodwin, R J A; Andren, P E; Nilsson, A; Mackay, C L; Andrew, R
2015-01-01
In pharmaceutical research, understanding the biodistribution, accumulation and metabolism of drugs in tissue plays a key role during drug discovery and development. In particular, information regarding pharmacokinetics, pharmacodynamics and transport properties of compounds in tissues is crucial during early screening. Historically, the abundance and distribution of drugs have been assessed by well-established techniques such as quantitative whole-body autoradiography (WBA) or tissue homogenization with LC/MS analysis. However, WBA does not distinguish active drug from its metabolites and LC/MS, while highly sensitive, does not report spatial distribution. Mass spectrometry imaging (MSI) can discriminate drug and its metabolites and endogenous compounds, while simultaneously reporting their distribution. MSI data are influencing drug development and currently used in investigational studies in areas such as compound toxicity. In in vivo studies MSI results may soon be used to support new drug regulatory applications, although clinical trial MSI data will take longer to be validated for incorporation into submissions. We review the current and future applications of MSI, focussing on applications for drug discovery and development, with examples to highlight the impact of this promising technique in early drug screening. Recent sample preparation and analysis methods that enable effective MSI, including quantitative analysis of drugs from tissue sections will be summarized and key aspects of methodological protocols to increase the effectiveness of MSI analysis for previously undetectable targets addressed. These examples highlight how MSI has become a powerful tool in drug research and development and offers great potential in streamlining the drug discovery process. PMID:25766375
Smallwood, Melissa; Sareen, Ashley; Baker, Emma; Hannusch, Rachel; Kwessi, Eddy; Williams, Tyisha
2016-08-01
Autism spectrum disorder (ASD) is a perplexing and pervasive developmental disorder characterized by social difficulties, communicative deficits, and repetitive behavior. The increased rate of ASD diagnosis has raised questions concerning the genetic and environmental factors contributing to the development of this disorder; meanwhile, the cause of ASD remains unknown. This study surveyed mothers of ASD and non-ASD children to determine possible effects of labor and delivery (L&D) drugs on the development of ASD. The survey was administered to mothers; however, the results were analyzed by child, as the study focused on the development of autism. Furthermore, an independent ASD dataset from the Southwest Autism Research and Resource Center was analyzed and compared. Indeed, L&D drugs are associated with ASD (p = .039). Moreover, the Southwest Autism Research and Resource Center dataset shows that the labor induction drug, Pitocin, is significantly associated with ASD (p = .004). We also observed a synergistic effect between administrations of L&D drugs and experiencing a birth complication, in which both obstetrics factors occurring together increased the likelihood of the fetus developing ASD later in life (p = .0003). The present study shows the possible effects of L&D drugs, such as Pitocin labor-inducing and analgesic drugs, on children and ASD. © The Author(s) 2016.
Jauslin, Petra M; Karlsson, Mats O; Frey, Nicolas
2012-12-01
A mechanistic drug-disease model was developed on the basis of a previously published integrated glucose-insulin model by Jauslin et al. A glucokinase activator was used as a test compound to evaluate the model's ability to identify a drug's mechanism of action and estimate its effects on glucose and insulin profiles following oral glucose tolerance tests. A kinetic-pharmacodynamic approach was chosen to describe the drug's pharmacodynamic effects in a dose-response-time model. Four possible mechanisms of action of antidiabetic drugs were evaluated, and the corresponding affected model parameters were identified: insulin secretion, glucose production, insulin effect on glucose elimination, and insulin-independent glucose elimination. Inclusion of drug effects in the model at these sites of action was first tested one-by-one and then in combination. The results demonstrate the ability of this model to identify the dual mechanism of action of a glucokinase activator and describe and predict its effects: Estimating a stimulating drug effect on insulin secretion and an inhibiting effect on glucose output resulted in a significantly better model fit than any other combination of effect sites. The model may be used for dose finding in early clinical drug development and for gaining more insight into a drug candidate's mechanism of action.
Löscher, Wolfgang; Schmidt, Dieter
2006-08-01
Development of tolerance (i.e., the reduction in response to a drug after repeated administration) is an adaptive response of the body to prolonged exposure to the drug, and tolerance to antiepileptic drugs (AEDs) is no exception. Tolerance develops to some drug effects much more rapidly than to others. The extent of tolerance depends on the drug and individual (genetic?) factors. Tolerance may lead to attenuation of side effects but also to loss of efficacy of AEDs and is reversible after discontinuation of drug treatment. Different experimental approaches are used to study tolerance in laboratory animals. Development of tolerance depends on the experimental model, drug, drug dosage, and duration of treatment, so that a battery of experimental protocols is needed to evaluate fully whether tolerance to effect occurs. Two major types of tolerance are known. Pharmacokinetic (metabolic) tolerance, due to induction of AED-metabolizing enzymes has been shown for most first-generation AEDs, and is easy to overcome by increasing dosage. Pharmacodynamic (functional) tolerance is due to "adaptation" of AED targets (e.g., by loss of receptor sensitivity) and has been shown experimentally for all AEDs that lose activity during prolonged treatment. Functional tolerance may lead to complete loss of AED activity and cross-tolerance to other AEDs. Convincing experimental evidence indicates that almost all first-, second-, and third-generation AEDs lose their antiepileptic activity during prolonged treatment, although to a different extent. Because of diverse confounding factors, detecting tolerance in patients with epilepsy is more difficult but can be done with careful assessment of decline during long-term individual patient response. After excluding confounding factors, tolerance to antiepileptic effect for most modern and old AEDs can be shown in small subgroups of responders by assessing individual or group response. Development of tolerance to the antiepileptic activity of an AED may be an important reason for failure of drug treatment. Knowledge of tolerance to AED effects as a mechanism of drug resistance in previous responders is important for patients, physicians, and scientists.
The application of carbon nanotubes in target drug delivery systems for cancer therapies
NASA Astrophysics Data System (ADS)
Zhang, Wuxu; Zhang, Zhenzhong; Zhang, Yingge
2011-10-01
Among all cancer treatment options, chemotherapy continues to play a major role in killing free cancer cells and removing undetectable tumor micro-focuses. Although chemotherapies are successful in some cases, systemic toxicity may develop at the same time due to lack of selectivity of the drugs for cancer tissues and cells, which often leads to the failure of chemotherapies. Obviously, the therapeutic effects will be revolutionarily improved if human can deliver the anticancer drugs with high selectivity to cancer cells or cancer tissues. This selective delivery of the drugs has been called target treatment. To realize target treatment, the first step of the strategies is to build up effective target drug delivery systems. Generally speaking, such a system is often made up of the carriers and drugs, of which the carriers play the roles of target delivery. An ideal carrier for target drug delivery systems should have three pre-requisites for their functions: (1) they themselves have target effects; (2) they have sufficiently strong adsorptive effects for anticancer drugs to ensure they can transport the drugs to the effect-relevant sites; and (3) they can release the drugs from them in the effect-relevant sites, and only in this way can the treatment effects develop. The transporting capabilities of carbon nanotubes combined with appropriate surface modifications and their unique physicochemical properties show great promise to meet the three pre-requisites. Here, we review the progress in the study on the application of carbon nanotubes as target carriers in drug delivery systems for cancer therapies.
Toward More Effective Drug Prevention Programs.
ERIC Educational Resources Information Center
Ellickson, Phyllis L.; Robyn, Abby E.
This report discusses guidelines for developing drug prevention programs. It reflects knowledge acquired in developing and implementing Project ALERT, an adolescent drug prevention program currently being evaluated with more than 6,500 students in California and Oregon schools. The guidelines discussed are based on information about the…
2014-01-01
Background Ukraine has one of the most severe HIV epidemics in Eastern Europe, with an estimated 1.6% of the adult population living with the virus. Injection drug use accounts for 36% of new HIV cases. Nongovernmental organizations in Ukraine have little experience with effective, theory-based behavioral risk reduction interventions necessary to reduce the scope of the HIV epidemic among Ukrainians who inject drugs. This study seeks to promote the use of evidence-based HIV prevention strategies among Ukrainian organizations working with drug users. Methods/design This study combines qualitative and quantitative methods to explore a model of HIV prevention intervention development and implementation that disseminates common factors of effective behavioral risk reduction interventions and enables service providers to develop programs that reflect their specific organizational contexts. Eight agencies, located in regions of Ukraine with the highest HIV and drug use rates and selected to represent key organizational context criteria (e.g., agency size, target population, experience with HIV prevention), will be taught common factors as the basis for intervention development. We will use qualitative methods, including interviews and observations, to document the process of intervention development and implementation at each agency. Using risk assessments with intervention participants, we will also assess intervention effectiveness. The primary outcome analyses will determine the extent to which agencies develop and implement an intervention for drug users that incorporates common factors of effective behavioral interventions. Effectiveness analyses will be conducted, and effect size of each intervention will be compared to that of published HIV prevention interventions for drug users with demonstrated effectiveness. This study will explore the role of organizational context on intervention development and implementation, including resource allocation decisions, problem-solving around intervention development, and barriers and facilitators to inclusion of common factors and delivery of a high quality intervention. Discussion This innovative approach to HIV prevention science dissemination and intervention development draws on providers’ ability to quickly develop innovative programs and reach populations in greatest need of services. It has the potential to enhance providers’ ability to use HIV prevention science to develop sustainable interventions in response to a rapidly changing epidemic. PMID:24491185
Computational methods in drug discovery
Leelananda, Sumudu P
2016-01-01
The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made available a substantial amount of sequence data that can be used in various drug discovery projects. Additionally, increasing knowledge of biological structures, as well as increasing computer power have made it possible to use computational methods effectively in various phases of the drug discovery and development pipeline. The importance of in silico tools is greater than ever before and has advanced pharmaceutical research. Here we present an overview of computational methods used in different facets of drug discovery and highlight some of the recent successes. In this review, both structure-based and ligand-based drug discovery methods are discussed. Advances in virtual high-throughput screening, protein structure prediction methods, protein–ligand docking, pharmacophore modeling and QSAR techniques are reviewed. PMID:28144341
Computational methods in drug discovery.
Leelananda, Sumudu P; Lindert, Steffen
2016-01-01
The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made available a substantial amount of sequence data that can be used in various drug discovery projects. Additionally, increasing knowledge of biological structures, as well as increasing computer power have made it possible to use computational methods effectively in various phases of the drug discovery and development pipeline. The importance of in silico tools is greater than ever before and has advanced pharmaceutical research. Here we present an overview of computational methods used in different facets of drug discovery and highlight some of the recent successes. In this review, both structure-based and ligand-based drug discovery methods are discussed. Advances in virtual high-throughput screening, protein structure prediction methods, protein-ligand docking, pharmacophore modeling and QSAR techniques are reviewed.
Tan, Kei X; Lau, Sie Yon; Danquah, Michael K
2018-05-01
Targeted drug delivery is a promising strategy to promote effective delivery of conventional and emerging pharmaceuticals. The emergence of aptamers as superior targeting ligands to direct active drug molecules specifically to desired malignant cells has created new opportunities to enhance disease therapies. The application of biodegradable polymers as delivery carriers to develop aptamer-navigated drug delivery system is a promising approach to effectively deliver desired drug dosages to target cells. This study reports the development of a layer-by-layer aptamer-mediated drug delivery system (DPAP) via a w/o/w double emulsion technique homogenized by ultrasonication or magnetic stirring. Experimental results showed no significant differences in the biophysical characteristics of DPAP nanoparticles generated using the two homogenization techniques. The DPAP formulation demonstrated a strong targeting performance and selectivity towards its target receptor molecules in the presence of non-targets. The DPAP formulation demonstrated a controlled and sustained drug release profile under the conditions of pH 7 and temperature 37 °C. Also, the drug release rate of DPAP formulation was successfully accelerated under an endosomal acidic condition of ∼pH 5.5, indicating the potential to enhance drug delivery within the endosomal micro-environment. The findings from this work are useful to understanding polymer-aptamer-drug relationship and their impact on developing effective targeted delivery systems. Copyright © 2018 Elsevier Masson SAS. All rights reserved.
Advancing cancer drug discovery towards more agile development of targeted combination therapies.
Carragher, Neil O; Unciti-Broceta, Asier; Cameron, David A
2012-01-01
Current drug-discovery strategies are typically 'target-centric' and are based upon high-throughput screening of large chemical libraries against nominated targets and a selection of lead compounds with optimized 'on-target' potency and selectivity profiles. However, high attrition of targeted agents in clinical development suggest that combinations of targeted agents will be most effective in treating solid tumors if the biological networks that permit cancer cells to subvert monotherapies are identified and retargeted. Conventional drug-discovery and development strategies are suboptimal for the rational design and development of novel drug combinations. In this article, we highlight a series of emerging technologies supporting a less reductionist, more agile, drug-discovery and development approach for the rational design, validation, prioritization and clinical development of novel drug combinations.
El-Said, Waleed A; Yoon, Jinho; Choi, Jeong-Woo
2018-01-01
Discovering new anticancer drugs and screening their efficacy requires a huge amount of resources and time-consuming processes. The development of fast, sensitive, and nondestructive methods for the in vitro and in vivo detection of anticancer drugs' effects and action mechanisms have been done to reduce the time and resources required to discover new anticancer drugs. For the in vitro and in vivo detection of the efficiency, distribution, and action mechanism of anticancer drugs, the applications of electrochemical techniques such as electrochemical cell chips and optical techniques such as surface-enhanced Raman spectroscopy (SERS) have been developed based on the nanostructured surface. Research focused on electrochemical cell chips and the SERS technique have been reviewed here; electrochemical cell chips based on nanostructured surfaces have been developed for the in vitro detection of cell viability and the evaluation of the effects of anticancer drugs, which showed the high capability to evaluate the cytotoxic effects of several chemicals at low concentrations. SERS technique based on the nanostructured surface have been used as label-free, simple, and nondestructive techniques for the in vitro and in vivo monitoring of the distribution, mechanism, and metabolism of different anticancer drugs at the cellular level. The use of electrochemical cell chips and the SERS technique based on the nanostructured surface should be good tools to detect the effects and action mechanisms of anticancer drugs.
NASA Astrophysics Data System (ADS)
El-Said, Waleed A.; Yoon, Jinho; Choi, Jeong-Woo
2018-04-01
Discovering new anticancer drugs and screening their efficacy requires a huge amount of resources and time-consuming processes. The development of fast, sensitive, and nondestructive methods for the in vitro and in vivo detection of anticancer drugs' effects and action mechanisms have been done to reduce the time and resources required to discover new anticancer drugs. For the in vitro and in vivo detection of the efficiency, distribution, and action mechanism of anticancer drugs, the applications of electrochemical techniques such as electrochemical cell chips and optical techniques such as surface-enhanced Raman spectroscopy (SERS) have been developed based on the nanostructured surface. Research focused on electrochemical cell chips and the SERS technique have been reviewed here; electrochemical cell chips based on nanostructured surfaces have been developed for the in vitro detection of cell viability and the evaluation of the effects of anticancer drugs, which showed the high capability to evaluate the cytotoxic effects of several chemicals at low concentrations. SERS technique based on the nanostructured surface have been used as label-free, simple, and nondestructive techniques for the in vitro and in vivo monitoring of the distribution, mechanism, and metabolism of different anticancer drugs at the cellular level. The use of electrochemical cell chips and the SERS technique based on the nanostructured surface should be good tools to detect the effects and action mechanisms of anticancer drugs.
Rodriguez-Monguio, R; Spargo, T; Seoane-Vazquez, E
2017-01-05
More than 6,800 rare diseases and conditions have been identified in the US, which affect 25-30 million Americans. In 1983, the US Congress enacted the Orphan Drug Act (ODA) to encourage the development and marketing of drugs to treat rare diseases and conditions. This study analyzed all orphan designations and FDA approvals since 1983 through 2015, discussed the effectiveness of incentives for the development of treatments for rare diseases, and reflected on the ethical imperatives for timely access to orphan drugs. Study data were derived from the Food and Drug Administration (FDA) Orange Book and the Office of Orphan Drugs Development. A search was conducted to assess literature on the ethical principles and economic incentives for the development of orphan drugs. In the period 1983-2015, the FDA granted 3,647 orphan drug designations and 554 orphan drug approvals. The orphan drug approvals corresponded to 438 different brand names. Cancer was the therapeutic area with the highest number of approvals. The increased number of patients with rare diseases and the growth in the cost of orphan drugs pose a significant economic burden for patients, public programs and private third party payers. Regulatory differences to qualify for orphan designation and various population thresholds employed by the FDA and the European Medicines Agency lead to further unmet health needs for patients with rare diseases and aggravate health inequities. There is no societal consensus on the population and economic thresholds, the drug effectiveness indicator(s), or the societal value to be placed for the approval and reimbursement of orphan drugs. Orphan drug development and marketing in the US concentrate in few therapeutic areas. Despite the increase in the number of FDA approved orphan drugs, the unmet needs of patients with rare diseases evidence that the current incentives are not efficiently stimulating orphan drug development. There is need to balance economic incentives to stimulate the development and marketing of orphan drugs without jeopardizing patients' access to treatment. Thus, aligning pharmaceutical companies' incentives with societal budgetary constraints is necessary and the ethical imperatives of timely access to orphan drugs need to be agreed upon.
Cost-effectiveness analysis: should it be required for drug registration and beyond?
Arnold, Renée J Goldberg
2007-11-01
Cost-effectiveness analysis (CEA) is applied in situations where trade-offs exist, typically, greater benefit for an increased cost over an alternative therapy or strategic option versus usual care. CEA is useful where a new strategy is more costly but expected to be more effective or where a new strategy is less costly but less effective. A good example for the relevance of CEA is the unanimous recommendation of a US federal vaccine advisory panel to vaccinate 11-year-old girls against cervical cancer. This recommendation was at least partly because of data showing the relative cost-effectiveness of HPV vaccine. In this era of finite budgets, CEA may facilitate drug development, drug approval, patient segmentation and pricing model development throughout the drug lifecycle continuum.
2013-01-01
Background Connectivity map (cMap) is a recent developed dataset and algorithm for uncovering and understanding the treatment effect of small molecules on different cancer cell lines. It is widely used but there are still remaining challenges for accurate predictions. Method Here, we propose BRCA-MoNet, a network of drug mode of action (MoA) specific to breast cancer, which is constructed based on the cMap dataset. A drug signature selection algorithm fitting the characteristic of cMap data, a quality control scheme as well as a novel query algorithm based on BRCA-MoNet are developed for more effective prediction of drug effects. Result BRCA-MoNet was applied to three independent data sets obtained from the GEO database: Estrodial treated MCF7 cell line, BMS-754807 treated MCF7 cell line, and a breast cancer patient microarray dataset. In the first case, BRCA-MoNet could identify drug MoAs likely to share same and reverse treatment effect. In the second case, the result demonstrated the potential of BRCA-MoNet to reposition drugs and predict treatment effects for drugs not in cMap data. In the third case, a possible procedure of personalized drug selection is showcased. Conclusions The results clearly demonstrated that the proposed BRCA-MoNet approach can provide increased prediction power to cMap and thus will be useful for identification of new therapeutic candidates. Website: The web based application is developed and can be access through the following link http://compgenomics.utsa.edu/BRCAMoNet/ PMID:24564956
Antiparasitic chemotherapy – from genomes to mechanisms
Horn, David; Duraisingh, Manoj T.
2015-01-01
Due to the absence of antiparistic vaccines, and the constant threat of drug resistance, the development of novel antiparasitic chemotherapies remains of major importance for disease control. A better understanding of drug transport (uptake and efflux), metabolism and the identification of drug targets, as well as potential drug resistance mechanisms would facilitate the development of more effective therapies. Here, we focus on malaria and African tyrpanosaomiasis. We review existing drugs and drug development, emphasizing high-throughput genomic and genetic approaches, which hold great promise for elucidating anti-parasitic mechanisms. We describe the approaches and technologies that have been influential for each parasite and develop some new ideas for future research directions, including strategies for target deconvolution. PMID:24050701
Organized polysaccharide fibers as stable drug carriers
Janaswamy, Srinivas; Gill, Kristin L.; Campanella, Osvaldo H.; Pinal, Rodolfo
2013-01-01
Many challenges arise during the development of new drug carrier systems, and paramount among them are safety, solubility and controlled release requirements. Although synthetic polymers are effective, the possibility of side effects imposes restrictions on their acceptable use and dose limits. Thus, a new drug carrier system that is safe to handle and free from side effects is very much in need and food grade polysaccharides stand tall as worthy alternatives. Herein, we demonstrate for the first time the feasibility of sodium iota-carrageenan fibers and their distinctive water pockets to embed and release a wide variety of drug molecules. Structural analysis has revealed the existence of crystalline network in the fibers even after encapsulating the drug molecules, and iota-carrageenan maintains its characteristic and reproducible double helical structure suggesting that the composites thus produced are reminiscent of cocrystals. The melting properties of iota-carrageenan:drug complexes are distinctly different from those of either drug or iota-carrageenan fiber. The encapsulated drugs are released in a sustained manner from the fiber matrix. Overall, our research provides an elegant opportunity for developing effective drug carriers with stable network toward enhancing and/or controlling bioavailability and extending shelf-life of drug molecules using GRAS excipients, food polysaccharides, that are inexpensive and non–toxic. PMID:23544530
GHB - Gamma-Hydroxybutyric Acid
... Family More Drugs & Your Family Drugs & Your Family Social Media: Understanding a Teen's World Signs of Drug Use ... Consequences Consequences How Drugs Alter Brain Development and Affect Teens The Negative Health Effects of Marijuana Use State and Federal ...
Chou, Ting-Chao
2006-09-01
The median-effect equation derived from the mass-action law principle at equilibrium-steady state via mathematical induction and deduction for different reaction sequences and mechanisms and different types of inhibition has been shown to be the unified theory for the Michaelis-Menten equation, Hill equation, Henderson-Hasselbalch equation, and Scatchard equation. It is shown that dose and effect are interchangeable via defined parameters. This general equation for the single drug effect has been extended to the multiple drug effect equation for n drugs. These equations provide the theoretical basis for the combination index (CI)-isobologram equation that allows quantitative determination of drug interactions, where CI < 1, = 1, and > 1 indicate synergism, additive effect, and antagonism, respectively. Based on these algorithms, computer software has been developed to allow automated simulation of synergism and antagonism at all dose or effect levels. It displays the dose-effect curve, median-effect plot, combination index plot, isobologram, dose-reduction index plot, and polygonogram for in vitro or in vivo studies. This theoretical development, experimental design, and computerized data analysis have facilitated dose-effect analysis for single drug evaluation or carcinogen and radiation risk assessment, as well as for drug or other entity combinations in a vast field of disciplines of biomedical sciences. In this review, selected examples of applications are given, and step-by-step examples of experimental designs and real data analysis are also illustrated. The merging of the mass-action law principle with mathematical induction-deduction has been proven to be a unique and effective scientific method for general theory development. The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.
Assessment of cognitive safety in clinical drug development
Roiser, Jonathan P.; Nathan, Pradeep J.; Mander, Adrian P.; Adusei, Gabriel; Zavitz, Kenton H.; Blackwell, Andrew D.
2016-01-01
Cognitive impairment is increasingly recognised as an important potential adverse effect of medication. However, many drug development programmes do not incorporate sensitive cognitive measurements. Here, we review the rationale for cognitive safety assessment, and explain several basic methodological principles for measuring cognition during clinical drug development, including study design and statistical analysis, from Phase I through to postmarketing. The crucial issue of how cognition should be assessed is emphasized, especially the sensitivity of measurement. We also consider how best to interpret the magnitude of any identified effects, including comparison with benchmarks. We conclude by discussing strategies for the effective communication of cognitive risks. PMID:26610416
Advantages of Structure-Based Drug Design Approaches in Neurological Disorders
Aarthy, Murali; Panwar, Umesh; Selvaraj, Chandrabose; Singh, Sanjeev Kumar
2017-01-01
Objective: The purpose of the review is to portray the theoretical concept on neurological disorders from research data. Background: The freak changes in chemical response of nerve impulse causes neurological disorders. The research evidence of the effort done in the older history suggests that the biological drug targets and their effective feature with responsive drugs could be valuable in promoting the future development of health statistics structure for improved treatment for curing the nervous disorders. Methods: In this review, we summarized the most iterative theoretical concept of structure based drug design approaches in various neurological disorders to unfathomable understanding of reported information for future drug design and development. Results: On the premise of reported information we analyzed the model of theoretical drug designing process for understanding the mechanism and pathology of the neurological diseases which covers the development of potentially effective inhibitors against the biological drug targets. Finally, it also suggests the management and implementation of the current treatment in improving the human health system behaviors. Conclusion: With the survey of reported information we concluded the development strategies of diagnosis and treatment against neurological diseases which leads to supportive progress in the drug discovery. PMID:28042767
Verbist, Bie; Klambauer, Günter; Vervoort, Liesbet; Talloen, Willem; Shkedy, Ziv; Thas, Olivier; Bender, Andreas; Göhlmann, Hinrich W H; Hochreiter, Sepp
2015-05-01
The pharmaceutical industry is faced with steadily declining R&D efficiency which results in fewer drugs reaching the market despite increased investment. A major cause for this low efficiency is the failure of drug candidates in late-stage development owing to safety issues or previously undiscovered side-effects. We analyzed to what extent gene expression data can help to de-risk drug development in early phases by detecting the biological effects of compounds across disease areas, targets and scaffolds. For eight drug discovery projects within a global pharmaceutical company, gene expression data were informative and able to support go/no-go decisions. Our studies show that gene expression profiling can detect adverse effects of compounds, and is a valuable tool in early-stage drug discovery decision making. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
Windle, James; Farrell, Graham
2012-01-01
The "balloon effect" is an often used but rather dismissive representation of the effects of drug law enforcement. It implies a hydraulic displacement model and an impervious illicit drug trade. This paper reviews theoretical and empirical developments in policing and crime prevention. Based on this, 10 types of displacement are identified and four arguments developed: (1) Displacement is less extensive and harmful than often contended; (2) Where displacement may occur it preferably should be exploited as a policy tool to delay the illicit drug industry and deflect it to less harmful locations and forms; (3) The opposite of displacement occurs, termed a diffusion of drug control benefits, wherein law enforcement has benefits that extend further than envisaged, and has 10 types mirroring those of displacement; (4) The net impact of drug law enforcement is often underestimated, and a containment hypothesis may offer a more accurate framework for evaluation.
Zielinski, Daniel C.; Filipp, Fabian V.; Bordbar, Aarash; Jensen, Kasper; Smith, Jeffrey W.; Herrgard, Markus J.; Mo, Monica L.; Palsson, Bernhard O.
2015-01-01
Drug side effects cause a significant clinical and economic burden. However, mechanisms of drug action underlying side effect pathogenesis remain largely unknown. Here, we integrate pharmacogenomic and clinical data with a human metabolic network and find that non-pharmacokinetic metabolic pathways dysregulated by drugs are linked to the development of side effects. We show such dysregulated metabolic pathways contain genes with sequence variants affecting side effect incidence, play established roles in pathophysiology, have significantly altered activity in corresponding diseases, are susceptible to metabolic inhibitors and are effective targets for therapeutic nutrient supplementation. Our results indicate that metabolic dysregulation represents a common mechanism underlying side effect pathogenesis that is distinct from the role of metabolism in drug clearance. We suggest that elucidating the relationships between the cellular response to drugs, genetic variation of patients and cell metabolism may help managing side effects by personalizing drug prescriptions and nutritional intervention strategies. PMID:26055627
Park, Aeri; Chyall, Leonard J; Dunlap, Jeanette; Schertz, Christine; Jonaitis, David; Stahly, Barbara C; Bates, Simon; Shipplett, Rex; Childs, Scott
2007-01-01
Modern drug development demands constant deployment of more effective technologies to mitigate the high cost of bringing new drugs to market. In addition to cost savings, new technologies can improve all aspects of pharmaceutical development. New technologies developed at SSCI, Inc. include solid form development of an active pharmaceutical ingredients. (APIs) are PatternMatch software and capillary-based crystallisation techniques that not only allow for fast and effective solid form screening, but also extract maximum property information from the routine screening data that is generally available. These new technologies offer knowledge-based decision making during solid form development of APIs and result in more developable API solid forms.
Sulthiame but not levetiracetam exerts neurotoxic effect in the developing rat brain.
Manthey, Daniela; Asimiadou, Stella; Stefovska, Vanya; Kaindl, Angela M; Fassbender, Jessica; Ikonomidou, Chrysanthy; Bittigau, Petra
2005-06-01
Antiepileptic drugs (AEDs) used to treat seizures in pregnant women, infants, and young children can cause cognitive impairment. One mechanism implicated in the development of neurocognitive deficits is a pathologic enhancement of physiologically occurring apoptotic neuronal death in the developing brain. We investigated whether the newer antiepileptic drug levetiracetam (LEV) and the older antiepileptic drug sulthiame (SUL) have neurotoxic properties in the developing rat brain. SUL significantly enhanced neuronal death in the brains of rat pups ages 0 to 7 days at doses of 100 mg/kg and above, whereas LEV did not show this neurotoxic effect. Dosages of both drugs used in the context of this study comply with an effective anticonvulsant dose range applied in rodent seizure models. Thus, LEV is an AED which lacks neurotoxicity in the developing rat brain and should be considered in the treatment of epilepsy in pregnant women, infants, and toddlers once general safety issues have been properly addressed.
Wigger-Alberti, Walter; Williams, Ragna; von Mackensen, Yi-Ling; Hoffman-Wecker, Maciej; Grossmann, Ulrike; Staedtler, Gerald; Nkulikiyinka, Richard; Shakery, Kaweh
2017-01-01
Psoriasis plaque tests (PPTs) are important tools in the early phases of antipsoriatic drug development. Two distinct PPT design variants (open vs. occluded drug application) are commonly used, but no previous work has aimed to directly compare and contrast their performance. We compared the antipsoriatic efficacy of mapracorat 0.1% ointment and reference drugs reported in 2 separate studies, representing open and occluded PPT designs. The drug effect size was measured by sonography (mean change in echo-poor band thickness), chromametry, and standardized clinical assessment. Antipsoriatic effects were detectable for the study drugs in both occluded and open PPTs. Differences between the potency of antipsoriatic drugs and vehicle were observable. The total antipsoriatic effect size appeared to be higher in the occluded PPT than the open PPT, despite the shorter treatment duration (2 vs. 4 weeks). Effect dynamics over time revealed greater differences between some study drugs in the open PPT compared to the occluded PPT. Taking the higher technical challenges for the open PPT into account, we recommend the occluded PPT as a standard screening setting in early drug development. In special cases, considering certain drug aspects or study objectives that would require procedural adaptations, an open PPT could be the better-suited design. Finally, both PPT models show clear advantages: classification as phase I studies, small number of psoriatic subjects, relatively short study duration, excellent discrimination between compounds and concentrations, parallel measurement of treatment response, and go/no go decisions very early in clinical development. © 2017 S. Karger AG, Basel.
Role of Statistical Random-Effects Linear Models in Personalized Medicine.
Diaz, Francisco J; Yeh, Hung-Wen; de Leon, Jose
2012-03-01
Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in the development of personalized medicine, which aims at finding treatment regimes that are appropriate for particular patients, not just appropriate for the average patient. In fact, published developments show that random-effects linear models may provide a solid theoretical framework for drug dosage individualization in chronic diseases. In particular, individualized dosages computed with these models by means of an empirical Bayesian approach may produce better results than dosages computed with some methods routinely used in therapeutic drug monitoring. This is further supported by published empirical and theoretical findings that show that random effects linear models may provide accurate representations of phase III and IV steady-state pharmacokinetic data, and may be useful for dosage computations. These models have applications in the design of clinical algorithms for drug dosage individualization in chronic diseases; in the computation of dose correction factors; computation of the minimum number of blood samples from a patient that are necessary for calculating an optimal individualized drug dosage in therapeutic drug monitoring; measure of the clinical importance of clinical, demographic, environmental or genetic covariates; study of drug-drug interactions in clinical settings; the implementation of computational tools for web-site-based evidence farming; design of pharmacogenomic studies; and in the development of a pharmacological theory of dosage individualization.
Khleif, Samir N; Doroshow, James H; Hait, William N
2010-07-01
Recent discoveries in cancer biology have greatly increased our understanding of cancer at the molecular and cellular level, but translating this knowledge into safe and effective therapies for cancer patients has proved to be challenging. There is a growing imperative to modernize the drug development process by incorporating new techniques that can predict the safety and effectiveness of new drugs faster, with more certainty, and at lower cost. Biomarkers are central to accelerating the identification and adoption of new therapies, but currently, many barriers impede their use in drug development and clinical practice. In 2007, the AACR-FDA-NCI Cancer Biomarkers Collaborative stepped into the national effort to bring together disparate stakeholders to clearly delineate these barriers, to develop recommendations for integrating biomarkers into the cancer drug development enterprise, and to set in motion the necessary action plans and collaborations to see the promise of biomarkers come to fruition, efficiently delivering quality cancer care to patients.
PLGA nanoparticles containing various anticancer agents and tumour delivery by EPR effect.
Acharya, Sarbari; Sahoo, Sanjeeb K
2011-03-18
As mortality due to cancer continues to rise, advances in nanotechnology have significantly become an effective approach for achieving efficient drug targeting to tumour tissues by circumventing all the shortcomings of conventional chemotherapy. During the past decade, the importance of polymeric drug-delivery systems in oncology has grown exponentially. In this context, poly(lactic-co-glycolic acid) (PLGA) is a widely used polymer for fabricating 'nanoparticles' because of biocompatibility, long-standing track record in biomedical applications and well-documented utility for sustained drug release, and hence has been the centre of focus for developing drug-loaded nanoparticles for cancer therapy. Such PLGA nanoparticles have also been used to develop proteins and peptides for nanomedicine, and nanovaccines, as well as a nanoparticle-based drug- and gene-delivery system for cancer therapy, and nanoantigens and growth factors. These drug-loaded nanoparticles extravasate through the tumour vasculature, delivering their payload into the cells by the enhanced permeability and retention (EPR) effect, thereby increasing their therapeutic effect. Ongoing research about drug-loaded nanoparticles and their delivery by the EPR effect to the tumour tissues has been elucidated in this review with clarity. Copyright © 2010 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Dhulekar, Jhilmil
Neuroblastoma is a rare cancer of the sympathetic nervous system. A neuroblastoma tumor develops in the nerve tissue and is diagnosed in infants and children. Approximately 10.2 per million children under the age of 15 are affected in the United States and is slightly more common in boys. Neuroblastoma constitutes 6% of all childhood cancers and has a long-term survival rate of only 15%. There are approximately 700 new cases of neuroblastoma each year in the United States. With such a low rate of survival, the development of more effective treatment methods is necessary. A number of therapies are available for the treatment of these tumors; however, clinicians and their patients face the challenges of systemic side effects and drug resistance of the tumor cells. The application of nanoparticles has the potential to provide a safer and more effective method of delivery drugs to tumors. The advantage of using nanoparticles for drug delivery is the ability to specifically or passively target tumors while reducing the harmful side effects of chemotherapeutics. Drug delivery via nanoparticles can also allow for lower dosage requirements with controlled release of the drugs, which can further reduce systemic toxicity. The aim of this research was to develop a polymeric nanoparticle drug delivery system for the treatment of high-risk neuroblastoma. Nanoparticles composed of a poly(lactic acid)-poly(ethylene glycol) block copolymer were formulated to deliver a non-toxic drug in combination with Temozolomide, a commonly used chemotherapeutic drug for the treatment of neuroblastoma. The non-toxic drug acts as an inhibitor to the DNA-repair protein present in neuroblastoma cells that is responsible for inducing drug resistance in the cells, which would potentially allow for enhanced temozolomide activity. A variety of studies were completed to prove the nanoparticles' low toxicity, loading abilities, and uptake into cells. Additionally, studies were performed to determine the individual effect on cell toxicity of each drug and in combination. Finally, nanoparticles were loaded with the non-toxic drug and delivered with free temozolomide to determine the overall efficacy of the drugs in reducing neuroblastoma cell viability.
Communicating to Influence Drug Development and Regulatory Decisions: A Tutorial
Mehrotra, S
2016-01-01
Pharmacometricians require three skills to be influential: technical, business (e.g., drug development), and soft skills (e.g., communication). Effective communication is required to translate technical and often complicated quantitative findings to interdisciplinary team members in order to influence drug development or regulatory decisions. In this tutorial, we highlight important aspects related to communicating pharmacometric analysis to influence decisions. PMID:27299706
Patel, Vikram; Andrade, Chittaranjan
2003-01-01
Severe psychiatric disorders (schizophrenia, bipolar disorder and major depressive disorder) cause much morbidity and disability in developing countries. Most of the evidence on the efficacy and effectiveness of drug treatments for these disorders is based on trials conducted in Western countries. Cultural, biological and health system factors may profoundly influence the applicability of such evidence in developing countries. Attitudes towards, and concepts about, psychiatric disorders vary across cultures, and these may influence the acceptability of drug treatments. Genetic and environmental factors may lead to variations in the pharmacodynamics and pharmacokinetics of psychotropic drugs across ethnic groups. This may explain why lower doses of psychotropic drugs tend to be used for non-Caucasian patients. There is a dearth of mental health professionals and care facilities in developing countries, especially in rural areas. Epidemiological studies show that, despite this lack of services, the outcome of schizophrenia is favourable in developing countries. This suggests that cultural, genetic or environmental factors may play as much of a role in influencing outcome as access to antipsychotic treatment. Regional drug policies may influence the availability and cost of psychotropic drugs. In particular, the Indian experience, where drugs are manufactured by several local pharmaceutical firms, thus bringing their cost down, may represent a unique deregulated drug industry. However, the impending impact of the Trade-Related Aspects of Intellectual Property Rights (TRIPS) agreement, with the strict enforcement of patent laws, will almost certainly lead to a rise in drug costs in the coming years. This may influence the choice and cost effectiveness of various drugs. The implications of these cross-cultural variations for policy and practice are the need to ensure a reliable supply of affordable psychotropic drugs in developing countries, trained healthcare professionals to use these drugs rationally, a concerted advocacy campaign to exclude drugs for severe psychiatric disorders from patent protection, and the development of psychosocial programmes to improve global outcomes.
Gupta, Sudheer; Chaudhary, Kumardeep; Kumar, Rahul; Gautam, Ankur; Nanda, Jagpreet Singh; Dhanda, Sandeep Kumar; Brahmachari, Samir Kumar; Raghava, Gajendra P. S.
2016-01-01
In this study, we investigated drug profile of 24 anticancer drugs tested against a large number of cell lines in order to understand the relation between drug resistance and altered genomic features of a cancer cell line. We detected frequent mutations, high expression and high copy number variations of certain genes in both drug resistant cell lines and sensitive cell lines. It was observed that a few drugs, like Panobinostat, are effective against almost all types of cell lines, whereas certain drugs are effective against only a limited type of cell lines. Tissue-specific preference of drugs was also seen where a drug is more effective against cell lines belonging to a specific tissue. Genomic features based models have been developed for each anticancer drug and achieved average correlation between predicted and actual growth inhibition of cell lines in the range of 0.43 to 0.78. We hope, our study will throw light in the field of personalized medicine, particularly in designing patient-specific anticancer drugs. In order to serve the scientific community, a webserver, CancerDP, has been developed for predicting priority/potency of an anticancer drug against a cancer cell line using its genomic features (http://crdd.osdd.net/raghava/cancerdp/). PMID:27030518
[Chapter 2. Transitions in drug-discovery technology and drug-development in Japan (1980-2010)].
Sakakibara, Noriko; Yoshioka, Ryuzo; Matsumoto, Kazuo
2014-01-01
In 1970s, the material patent system was introduced in Japan. Since then, many Japanese pharmaceutical companies have endeavored to create original in-house products. From 1980s, many of the innovative products were small molecular drugs and were developed using powerful medicinal-chemical technologies. Among them were antibiotics and effective remedies for the digestive organs and circulatory organs. During this period, Japanese companies were able to launch some blockbuster drugs. At the same time, the pharmaceutical market, which had grown rapidly for two decades, was beginning to level off. From the late 1990s, drug development was slowing down due to the lack of expertise in biotechnology such as genetic engineering. In response to the circumstances, the research and development on biotechnology-based drugs such as antibody drugs have become more dynamic and popular at companies than small molecule drugs. In this paper, the writers reviewed in detail the transitions in drug discovery and development between 1980 and 2010.
Miyamoto, Yukiko; Eckmann, Lars
2015-01-01
Diarrheal diseases are among the leading causes of morbidity and mortality in the world, particularly among young children. A limited number of infectious agents account for most of these illnesses, raising the hope that advances in the treatment and prevention of these infections can have global health impact. The two most important parasitic causes of diarrheal disease are Cryptosporidium and Giardia. Both parasites infect predominantly the small intestine and colonize the lumen and epithelial surface, but do not invade deeper mucosal layers. This review discusses the therapeutic challenges, current treatment options, and drug development efforts against cryptosporidiosis and giardiasis. The goals of drug development against Cryptosporidium and Giardia are different. For Cryptosporidium, only one moderately effective drug (nitazoxanide) is available, so novel classes of more effective drugs are a high priority. Furthermore, new genetic technology to identify potential drug targets and better assays for functional evaluation of these targets throughout the parasite life cycle are needed for advancing anticryptosporidial drug design. By comparison, for Giardia, several classes of drugs with good efficacy exist, but dosing regimens are suboptimal and emerging resistance begins to threaten clinical utility. Consequently, improvements in potency and dosing, and the ability to overcome existing and prevent new forms of drug resistance are priorities in antigiardial drug development. Current work on new drugs against both infections has revealed promising strategies and new drug leads. However, the primary challenge for further drug development is the underlying economics, as both parasitic infections are considered Neglected Diseases with low funding priority and limited commercial interest. If a new urgency in medical progress against these infections can be raised at national funding agencies or philanthropic organizations, meaningful and timely progress is possible in treating and possibly preventing cryptosporidiosis and giardiasis. PMID:26635732
Emerging anti-insomnia drugs: tackling sleeplessness and the quality of wake time.
Wafford, Keith A; Ebert, Bjarke
2008-06-01
Sleep is essential for our physical and mental well being. However, when novel hypnotic drugs are developed, the focus tends to be on the marginal and statistically significant increase in minutes slept during the night instead of the effects on the quality of wakefulness. Recent research on the mechanisms underlying sleep and the control of the sleep-wake cycle has the potential to aid the development of novel hypnotic drugs; however, this potential has not yet been realized. Here, we review the current understanding of how hypnotic drugs act, and discuss how new, more effective drugs and treatment strategies for insomnia might be achieved by taking into consideration the daytime consequences of disrupted sleep.
Pharmacogenetics of drugs withdrawn from the market.
Zhang, Wei; Roederer, Mary W; Chen, Wang-Qing; Fan, Lan; Zhou, Hong-Hao
2012-01-01
The safety and efficacy of candidate compounds are critical factors during the development of drugs, and most drugs have been withdrawn from the market owing to severe adverse reactions. Individuals/populations with different genetic backgrounds may show significant differences in drug metabolism and efficacy, which can sometimes manifest as severe adverse drug reactions. With an emphasis on the mechanisms underlying abnormal drug effects caused by genetic mutations, pharmacogenetic studies may enhance the safety and effectiveness of drug use, provide more comprehensive delineations of the scope of usage, and change the fates of drugs withdrawn from the market.
ERIC Educational Resources Information Center
Drapela, Laurie A.; Mosher, Clayton
2007-01-01
The effect of parental deviance on adolescent deviance has been a source of considerable debate in the criminological literature. Classic theoretical explanations of the relationships between parental and adolescent deviance posit additive effects of parental deviance on youth behavior. Proponents of the Social Development Model have hypothesized…
Evaluation of transporters in drug development: Current status and contemporary issues.
Lee, Sue-Chih; Arya, Vikram; Yang, Xinning; Volpe, Donna A; Zhang, Lei
2017-07-01
Transporters govern the access of molecules to cells or their exit from cells, thereby controlling the overall distribution of drugs to their intracellular site of action. Clinically relevant drug-drug interactions mediated by transporters are of increasing interest in drug development. Drug transporters, acting alone or in concert with drug metabolizing enzymes, can play an important role in modulating drug absorption, distribution, metabolism and excretion, thus affecting the pharmacokinetics and/or pharmacodynamics of a drug. The drug interaction guidance documents from regulatory agencies include various decision criteria that may be used to predict the need for in vivo assessment of transporter-mediated drug-drug interactions. Regulatory science research continues to assess the prediction performances of various criteria as well as to examine the strength and limitations of each prediction criterion to foster discussions related to harmonized decision criteria that may be used to facilitate global drug development. This review discusses the role of transporters in drug development with a focus on methodologies in assessing transporter-mediated drug-drug interactions, challenges in both in vitro and in vivo assessments of transporters, and emerging transporter research areas including biomarkers, assessment of tissue concentrations, and effect of diseases on transporters. Published by Elsevier B.V.
Mind over Matter. Teacher's Guide.
ERIC Educational Resources Information Center
National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.
This teacher's guide aims to develop an understanding among students in grades 5-9 about the biological effects of drug use. The guide provides background information on the anatomy of the brain, nerve cells and neurotransmission, and the effects of drugs on the brain. Drugs described in this guide include marijuana, opiates, inhalants,…
Measuring Effects of a Skills Training Intervention for Drug Abusers.
ERIC Educational Resources Information Center
Hawkins, J. David; And Others
1986-01-01
A test was conducted of a supplemental skills training and social-network-development aftercare program with 130 drug abusers from four residential therapeutic communities. The intervention produced positive effects on subjects' performance at the conclusion of treatment. Performance improved in situations involving avoidance of drug use, coping…
Phenotypic Screening Approaches to Develop Aurora Kinase Inhibitors: Drug Discovery Perspectives.
Marugán, Carlos; Torres, Raquel; Lallena, María José
2015-01-01
Targeting mitotic regulators as a strategy to fight cancer implies the development of drugs against key proteins, such as Aurora-A and -B. Current drugs, which target mitosis through a general mechanism of action (stabilization/destabilization of microtubules), have several side effects (neutropenia, alopecia, and emesis). Pharmaceutical companies aim at avoiding these unwanted effects by generating improved and selective drugs that increase the quality of life of the patients. However, the development of these drugs is an ambitious task that involves testing thousands of compounds through biochemical and cell-based assays. In addition, molecules usually target complex biological processes, involving several proteins and different molecular pathways, further emphasizing the need for high-throughput screening techniques and multiplexing technologies in order to identify drugs with the desired phenotype. We will briefly describe two multiplexing technologies [high-content imaging (HCI) and flow cytometry] and two key processes for drug discovery research (assay development and validation) following our own published industry quality standards. We will further focus on HCI as a useful tool for phenotypic screening and will provide a concrete example of HCI assay to detect Aurora-A or -B selective inhibitors discriminating the off-target effects related to the inhibition of other cell cycle or non-cell cycle key regulators. Finally, we will describe other assays that can help to characterize the in vitro pharmacology of the inhibitors.
Vilar, Santiago; Hripcsak, George
2016-01-01
Drug-target identification is crucial to discover novel applications for existing drugs and provide more insights about mechanisms of biological actions, such as adverse drug effects (ADEs). Computational methods along with the integration of current big data sources provide a useful framework for drug-target and drug-adverse effect discovery. In this article, we propose a method based on the integration of 3D chemical similarity, target and adverse effect data to generate a drug-target-adverse effect predictor along with a simple leveraging system to improve identification of drug-targets and drug-adverse effects. In the first step, we generated a system for multiple drug-target identification based on the application of 3D drug similarity into a large target dataset extracted from the ChEMBL. Next, we developed a target-adverse effect predictor combining targets from ChEMBL with phenotypic information provided by SIDER data source. Both modules were linked to generate a final predictor that establishes hypothesis about new drug-target-adverse effect candidates. Additionally, we showed that leveraging drug-target candidates with phenotypic data is very useful to improve the identification of drug-targets. The integration of phenotypic data into drug-target candidates yielded up to twofold precision improvement. In the opposite direction, leveraging drug-phenotype candidates with target data also yielded a significant enhancement in the performance. The modeling described in the current study is simple and efficient and has applications at large scale in drug repurposing and drug safety through the identification of mechanism of action of biological effects.
Orson, Frank M; Kinsey, Berma M; Singh, Rana A K; Wu, Yan; Gardner, Tracie; Kosten, Thomas R
2008-10-01
Conventional substance-abuse treatments have only had limited success for drugs such as cocaine, nicotine, methamphetamine, and phencyclidine. New approaches, including vaccination to block the effects of these drugs on the brain, are in advanced stages of development. Although several potential mechanisms for the effects of antidrug vaccines have been suggested, the most straightforward and intuitive mechanism involves binding of the drug by antibodies in the bloodstream, thereby blocking entry and/or reducing the rate of entry of the drug into the central nervous system. The benefits of such antibodies on drug pharmacodynamics will be influenced by both the quantitative and the qualitative properties of the antibodies. The sum of these effects will determine the success of the clinical applications of antidrug vaccines in addiction medicine. This review will discuss these issues and present the current status of vaccine development for nicotine, cocaine, methamphetamine, phencyclidine, and morphine.
Obesity and Pediatric Drug Development.
Vaughns, Janelle D; Conklin, Laurie S; Long, Ying; Zheng, Panli; Faruque, Fahim; Green, Dionna J; van den Anker, John N; Burckart, Gilbert J
2018-05-01
There is a lack of dosing guidelines for use in obese children. Moreover, the impact of obesity on drug safety and clinical outcomes is poorly defined. The paucity of information needed for the safe and effective use of drugs in obese patients remains a problem, even after drug approval. To assess the current incorporation of obesity as a covariate in pediatric drug development, the pediatric medical and clinical pharmacology reviews under the Food and Drug Administration (FDA) Amendments Act of 2007 and the FDA Safety and Innovation Act (FDASIA) of 2012 were reviewed for obesity studies. FDA labels were also reviewed for statements addressing obesity in pediatric patients. Forty-five drugs studied in pediatric patients under the FDA Amendments Act were found to have statements and key words in the medical and clinical pharmacology reviews and labels related to obesity. Forty-four products were identified similarly with pediatric studies under FDASIA. Of the 89 product labels identified, none provided dosing information related to obesity. The effect of body mass index on drug pharmacokinetics was mentioned in only 4 labels. We conclude that there is little information presently available to provide guidance related to dosing in obese pediatric patients. Moving forward, regulators, clinicians, and the pharmaceutical industry should consider situations in drug development in which the inclusion of obese patients in pediatric trials is necessary to facilitate the safe and effective use of new drug products in the obese pediatric population. © 2018, The American College of Clinical Pharmacology.
Current Perspectives on HIV-1 Antiretroviral Drug Resistance
Iyidogan, Pinar; Anderson, Karen S.
2014-01-01
Current advancements in antiretroviral therapy (ART) have turned HIV-1 infection into a chronic and manageable disease. However, treatment is only effective until HIV-1 develops resistance against the administered drugs. The most recent antiretroviral drugs have become superior at delaying the evolution of acquired drug resistance. In this review, the viral fitness and its correlation to HIV-1 mutation rates and drug resistance are discussed while emphasizing the concept of lethal mutagenesis as an alternative therapy. The development of resistance to the different classes of approved drugs and the importance of monitoring antiretroviral drug resistance are also summarized briefly. PMID:25341668
SuperTarget goes quantitative: update on drug–target interactions
Hecker, Nikolai; Ahmed, Jessica; von Eichborn, Joachim; Dunkel, Mathias; Macha, Karel; Eckert, Andreas; Gilson, Michael K.; Bourne, Philip E.; Preissner, Robert
2012-01-01
There are at least two good reasons for the on-going interest in drug–target interactions: first, drug-effects can only be fully understood by considering a complex network of interactions to multiple targets (so-called off-target effects) including metabolic and signaling pathways; second, it is crucial to consider drug-target-pathway relations for the identification of novel targets for drug development. To address this on-going need, we have developed a web-based data warehouse named SuperTarget, which integrates drug-related information associated with medical indications, adverse drug effects, drug metabolism, pathways and Gene Ontology (GO) terms for target proteins. At present, the updated database contains >6000 target proteins, which are annotated with >330 000 relations to 196 000 compounds (including approved drugs); the vast majority of interactions include binding affinities and pointers to the respective literature sources. The user interface provides tools for drug screening and target similarity inclusion. A query interface enables the user to pose complex queries, for example, to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target proteins within a certain affinity range. SuperTarget is available at http://bioinformatics.charite.de/supertarget. PMID:22067455
Carroll, M E
1990-01-01
In this review phencyclidine and related arylcyclohexylamines and hallucinogens, using LSD as the prototype, are considered as two distinct classes of abused drugs. Within these classes drugs that are found on the street are discussed, and a current epidemiological summary is provided. The abuse liability and dependence potential of these drugs are evaluated by considering four major determinants of their abuse. First, is the ability of a drug to function as a positive reinforcer and increase the probability of operant behavior leading to its delivery. Animal data describing the reinforcing effects of PCP are reviewed with respect to the influence of variables controlling drug-reinforced behavior; however, there are no animal models of hallucinogen-reinforced behavior. Several methods of quantifying reinforcing efficacy are discussed. A second determinant is the subjective effects of the respective drugs. These effects are described and compared across drugs based on clinical reports in humans and drug discrimination studies in animals. A third determinant is the behavioral and physiological toxicity that results from acute and chronic use of these drugs. Clinical reports and results of sensitive tests that have been developed for laboratory animals are reviewed. A fourth determinant is the dependence potential that exists with these drugs, measured by tolerance development and the extent to which behavioral and physiological disturbances occur when drug use is terminated.
Drugs, Biogenic Amine Targets and the Developing Brain
Frederick, Aliya L.; Stanwood, Gregg D.
2009-01-01
Defects in the development of the brain have profound impacts on mature brain functions and underlie psychopathology. Classical neurotransmitters and neuromodulators, such as dopamine, serotonin, norepinephrine, acetycholine, glutamate and GABA, have pleiotropic effects during brain development. In other words, these molecules produce multiple, diverse effects to serve as regulators of distinct cellular functions at different times in neurodevelopment. These systems are impacted upon by a variety of illicit drugs of abuse, neurotherapeutics, and environmental contaminants. In this review, we describe the impact of drugs and chemicals on brain formation and function in animal models and in human populations, highlighting sensitive periods and effects that may not emerge until later in life. PMID:19372683
Drug Abuse Control--Administrative Guidelines.
ERIC Educational Resources Information Center
Los Angeles City Schools, CA.
These guidelines were developed to assist administrators, teachers, and other staff members of the Los Angeles Public Schools in the formulation of an effective program designed to alleviate drug abuse. Staff responsibilities are spelled out. Specific attention is directed to the problems of drug abuse, drug possession and drug selling. The…
Principles for School Drug Education
ERIC Educational Resources Information Center
Meyer, Lois
2004-01-01
This document presents a revised set of principles for school drug education. The principles for drug education in schools comprise an evolving framework that has proved useful over a number of decades in guiding the development of effective drug education. The first edition of "Principles for Drug Education in Schools" (Ballard et al.…
Children's Prenatal Exposure to Drugs: Implications for Early Childhood Educators.
ERIC Educational Resources Information Center
Mayfield, Phyllis K.; Chapman, J. Keith
1998-01-01
Examines the effects of drug use during pregnancy on early and later child development, the extent of women's drug use, and behavioral and learning characteristics of children prenatally exposed to drugs. Provides intervention guidelines for early childhood settings including children with prenatal drug exposure, focusing on recommendations for…
Romagnoli, Katrina M; Nelson, Scott D; Hines, Lisa; Empey, Philip; Boyce, Richard D; Hochheiser, Harry
2017-02-22
Drug information compendia and drug-drug interaction information databases are critical resources for clinicians and pharmacists working to avoid adverse events due to exposure to potential drug-drug interactions (PDDIs). Our goal is to develop information models, annotated data, and search tools that will facilitate the interpretation of PDDI information. To better understand the information needs and work practices of specialists who search and synthesize PDDI evidence for drug information resources, we conducted an inquiry that combined a thematic analysis of published literature with unstructured interviews. Starting from an initial set of relevant articles, we developed search terms and conducted a literature search. Two reviewers conducted a thematic analysis of included articles. Unstructured interviews with drug information experts were conducted and similarly coded. Information needs, work processes, and indicators of potential strengths and weaknesses of information systems were identified. Review of 92 papers and 10 interviews identified 56 categories of information needs related to the interpretation of PDDI information including drug and interaction information; study design; evidence including clinical details, quality and content of reports, and consequences; and potential recommendations. We also identified strengths/weaknesses of PDDI information systems. We identified the kinds of information that might be most effective for summarizing PDDIs. The drug information experts we interviewed had differing goals, suggesting a need for detailed information models and flexible presentations. Several information needs not discussed in previous work were identified, including temporal overlaps in drug administration, biological plausibility of interactions, and assessment of the quality and content of reports. Richly structured depictions of PDDI information may help drug information experts more effectively interpret data and develop recommendations. Effective information models and system designs will be needed to maximize the utility of this information.
Noda, Takehiro; Okuda, Tomoyuki; Ban, Kousuke; Mizuno, Ryota; Tagami, Tatsuaki; Ozeki, Tetsuya; Okamoto, Hirokazu
2017-06-01
In the development of a drug for intra-articular administration, a sustained-release formulation is desirable since it is difficult to sustain the effects of conventional injections due to fast drug leakage from the joint cavity. In this study, we prepared sustained release gel formulations for intra-articular administration containing indocyanine green (ICG) as a model drug to follow its fate after intra-articular administration in rats with in-vivo imaging system (IVIS). ICG administered as an aqueous solution leaked from the joint cavity in a short time and was excreted out of the body within a day. On the other hand, ICG in the sustained-release formulations was retained and released in the joint cavity for a week. Next, we prepared a sustained-release formulation with hyaluronic acid (HA) as the gel base containing a pain-relief drug (Drug A). We had administered it and other formulations into the rat knee where we injected bradykinin to evaluate their walking distance after 1 and 3 d. The effect of an aqueous solution of Drug A disappeared on day 3. The HA gel formulation without Drug A was more effective than the aqueous solution. The HA gel formulation with Drug A was the most effective; the walking distance was about 85% of the baseline on day 3. This study showed that the gel formulations were effective to sustain the release of a drug in the knee joint, and that the combination of a pain-relief drug with HA gel was effective to improve the mobility of the acute pain model rats.
Diverse ways of perturbing the human arachidonic acid metabolic network to control inflammation.
Meng, Hu; Liu, Ying; Lai, Luhua
2015-08-18
Inflammation and other common disorders including diabetes, cardiovascular disease, and cancer are often the result of several molecular abnormalities and are not likely to be resolved by a traditional single-target drug discovery approach. Though inflammation is a normal bodily reaction, uncontrolled and misdirected inflammation can cause inflammatory diseases such as rheumatoid arthritis and asthma. Nonsteroidal anti-inflammatory drugs including aspirin, ibuprofen, naproxen, or celecoxib are commonly used to relieve aches and pains, but often these drugs have undesirable and sometimes even fatal side effects. To facilitate safer and more effective anti-inflammatory drug discovery, a balanced treatment strategy should be developed at the biological network level. In this Account, we focus on our recent progress in modeling the inflammation-related arachidonic acid (AA) metabolic network and subsequent multiple drug design. We first constructed a mathematical model of inflammation based on experimental data and then applied the model to simulate the effects of commonly used anti-inflammatory drugs. Our results indicated that the model correctly reproduced the established bleeding and cardiovascular side effects. Multitarget optimal intervention (MTOI), a Monte Carlo simulated annealing based computational scheme, was then developed to identify key targets and optimal solutions for controlling inflammation. A number of optimal multitarget strategies were discovered that were both effective and safe and had minimal associated side effects. Experimental studies were performed to evaluate these multitarget control solutions further using different combinations of inhibitors to perturb the network. Consequently, simultaneous control of cyclooxygenase-1 and -2 and leukotriene A4 hydrolase, as well as 5-lipoxygenase and prostaglandin E2 synthase were found to be among the best solutions. A single compound that can bind multiple targets presents advantages including low risk of drug-drug interactions and robustness regarding concentration fluctuations. Thus, we developed strategies for multiple-target drug design and successfully discovered several series of multiple-target inhibitors. Optimal solutions for a disease network often involve mild but simultaneous interventions of multiple targets, which is in accord with the philosophy of traditional Chinese medicine (TCM). To this end, our AA network model can aptly explain TCM anti-inflammatory herbs and formulas at the molecular level. We also aimed to identify activators for several enzymes that appeared to have increased activity based on MTOI outcomes. Strategies were then developed to predict potential allosteric sites and to discover enzyme activators based on our hypothesis that combined treatment with the projected activators and inhibitors could balance different AA network pathways, control inflammation, and reduce associated adverse effects. Our work demonstrates that the integration of network modeling and drug discovery can provide novel solutions for disease control, which also calls for new developments in drug design concepts and methodologies. With the rapid accumulation of quantitative data and knowledge of the molecular networks of disease, we can expect an increase in the development and use of quantitative disease models to facilitate efficient and safe drug discovery.
Drug Abuse Prevention: A Human Development Model for Defining the Problem and Devising Solutions
ERIC Educational Resources Information Center
Sugarman, Barry
1978-01-01
Drug abuse is frequently the result of deficits in human development process and is one of several behavior patterns with which the individual attempts to fill an "emotional vacuum." Effective drug abuse prevention must involve the improvement of environment. A distinction is made between primary prevention, secondary prevention, and…
Exploring Spanish health social media for detecting drug effects
2015-01-01
Background Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high incidence and increasing health care costs. Reporting systems are available in order for both healthcare professionals and patients to alert about possible ADRs. However, several studies have shown that these adverse events are underestimated. Our hypothesis is that health social networks could be a significant information source for the early detection of ADRs as well as of new drug indications. Methods In this work we present a system for detecting drug effects (which include both adverse drug reactions as well as drug indications) from user posts extracted from a Spanish health forum. Texts were processed using MeaningCloud, a multilingual text analysis engine, to identify drugs and effects. In addition, we developed the first Spanish database storing drugs as well as their effects automatically built from drug package inserts gathered from online websites. We then applied a distant-supervision method using the database on a collection of 84,000 messages in order to extract the relations between drugs and their effects. To classify the relation instances, we used a kernel method based only on shallow linguistic information of the sentences. Results Regarding Relation Extraction of drugs and their effects, the distant supervision approach achieved a recall of 0.59 and a precision of 0.48. Conclusions The task of extracting relations between drugs and their effects from social media is a complex challenge due to the characteristics of social media texts. These texts, typically posts or tweets, usually contain many grammatical errors and spelling mistakes. Moreover, patients use lay terminology to refer to diseases, symptoms and indications that is not usually included in lexical resources in languages other than English. PMID:26100267
The neurocircuitry of addiction: an overview
Feltenstein, M W; See, R E
2008-01-01
Drug addiction presents as a chronic relapsing disorder characterized by persistent drug-seeking and drug-taking behaviours. Given the significant detrimental effects of this disease both socially and economically, a considerable amount of research has been dedicated to understanding a number of issues in addiction, including behavioural and neuropharmacological factors that contribute to the development, loss of control and persistence of compulsive addictive behaviours. In this review, we will give a broad overview of various theories of addiction, animal models of addiction and relapse, drugs of abuse, and the neurobiology of drug dependence and relapse. Although drugs of abuse possess diverse neuropharmacological profiles, activation of the mesocorticolimbic system, particularly the ventral tegmental area, nucleus accumbens, amygdala and prefrontal cortex via dopaminergic and glutamatergic pathways, constitutes a common pathway by which various drugs of abuse mediate their acute reinforcing effects. However, long-term neuroadaptations in this circuitry likely underlie the transition to drug dependence and cycles of relapse. As further elucidated in more comprehensive reviews of various subtopics on addiction in later sections of this special issue, it is anticipated that continued basic neuroscience research will aid in the development of effective therapeutic interventions for the long-term treatment of drug-dependent individuals. PMID:18311189
Orphan drug development in the United States.
Groft, S C
1985-05-01
Drug research and development in the U.S. tends to focus on drugs to treat common diseases because of the anticipated return on investment. To stimulate pharmaceutical manufacturers to pursue the development of drugs for rare conditions, the Orphan Drug Act was enacted by Congress on January 4, 1983. Under the provisions of this Act, the FDA can make recommendations on the investigations necessary for marketing approval; exclusive marketing privileges can be obtained; tax credits for expenses incurred are allowed; availability of orphan drugs on an investigational basis is encouraged; and the Orphan Product Board is established for the coordination of research efforts and their reimbursement. The effects of this legislation are evident in the continuing increase in orphan drug designations.
The Two Faces of Social Interaction Reward in Animal Models of Drug Dependence.
El Rawas, Rana; Saria, Alois
2016-03-01
Drug dependence is a serious health and social problem. Social factors can modify vulnerability to developing drug dependence, acting as risk factors or protective factors. Whereas stress and peer environment that encourage substance use may increase drug taking, strong attachments between family members and peer environment that do not experience drug use may protect against drug taking and, ultimately, drug dependence. The rewarding effects of drug abuse and social interaction can be evaluated using animal models. In this review we focus on evaluating social interaction reward in the conditioned place preference paradigm. We give an overview of how social interaction, if made available within the drug context, may facilitate, promote and interact with the drug's effects. However, social interaction, if offered alternatively outside the drug context, may have pronounced protective effects against drug abuse and relapse. We also address the importance of the weight difference parameter between the social partners in determining the positive or "agonistic" versus the hostile or "antagonistic" social interaction. We conclude that understanding social interaction reward and its subsequent effects on drug reward is sorely needed for therapeutic interventions against drug dependence.
Highly water-soluble, porous, and biocompatible boron nitrides for anticancer drug delivery.
Weng, Qunhong; Wang, Binju; Wang, Xuebin; Hanagata, Nobutaka; Li, Xia; Liu, Dequan; Wang, Xi; Jiang, Xiangfen; Bando, Yoshio; Golberg, Dmitri
2014-06-24
Developing materials for "Nano-vehicles" with clinically approved drugs encapsulated is envisaged to enhance drug therapeutic effects and reduce the adverse effects. However, design and preparation of the biomaterials that are porous, nontoxic, soluble, and stable in physiological solutions and could be easily functionalized for effective drug deliveries are still challenging. Here, we report an original and simple thermal substitution method to fabricate perfectly water-soluble and porous boron nitride (BN) materials featuring unprecedentedly high hydroxylation degrees. These hydroxylated BNs are biocompatible and can effectively load anticancer drugs (e.g., doxorubicin, DOX) up to contents three times exceeding their own weight. The same or even fewer drugs that are loaded on such BN carriers exhibit much higher potency for reducing the viability of LNCaP cancer cells than free drugs.
In silico prediction of drug-induced myelotoxicity by using Naïve Bayes method.
Zhang, Hui; Yu, Peng; Zhang, Teng-Guo; Kang, Yan-Li; Zhao, Xiao; Li, Yuan-Yuan; He, Jia-Hui; Zhang, Ji
2015-11-01
Drug-induced myelotoxicity usually leads to decrease the production of platelets, red cells, and white cells. Thus, early identification and characterization of myelotoxicity hazard in drug development is very necessary. The purpose of this investigation was to develop a prediction model of drug-induced myelotoxicity by using a Naïve Bayes classifier. For comparison, other prediction models based on support vector machine and single-hidden-layer feed-forward neural network methods were also established. Among all the prediction models, the Naïve Bayes classification model showed the best prediction performance, which offered an average overall prediction accuracy of [Formula: see text] for the training set and [Formula: see text] for the external test set. The significant contributions of this study are that we first developed a Naïve Bayes classification model of drug-induced myelotoxicity adverse effect using a larger scale dataset, which could be employed for the prediction of drug-induced myelotoxicity. In addition, several important molecular descriptors and substructures of myelotoxic compounds have been identified, which should be taken into consideration in the design of new candidate compounds to produce safer and more effective drugs, ultimately reducing the attrition rate in later stages of drug development.
Mehta, R; Teckoe, J; Schoener, C; Workentine, S; Ferrizzi, D; Rajabi-Siahboomi, A
2016-12-01
Ethylcellulose is one of the most commonly used polymers to develop reservoir type extended release multiparticulate dosage forms. For multiparticulate extended release dosage forms, the drug release is typically governed by the properties of the barrier membrane coating. The ICH Pharmaceutical Development Guideline (ICH Q8) requires an understanding of the influence of critical material attributes and critical process parameters on the drug release of a pharmaceutical product. Using this understanding, it is possible to develop robust formulations with consistent drug release characteristics. Critical material attributes for ethylcellulose were evaluated, and polymer molecular weight variation (viscosity) was considered to be the most critical attribute that can impact drug release. To investigate the effect of viscosity variation within the manufacturer's specifications of ethylcellulose, extended release multiparticulate formulations of two model drugs, metoprolol tartrate and acetaminophen, were developed using ETHOCEL™ as the rate controlling polymer. Quality by Design (QbD) samples of ETHOCEL Std. 10, 20, and 100 Premium grades representing the low, medium, and high molecular weight (viscosity) material were organically coated onto drug layered multiparticulates to a 15% weight gain (WG). The drug release was found to be similar (f 2 > 50) for both metoprolol tartrate and acetaminophen multiparticulates at different coating weight gains of ethylcellulose, highlighting consistent and robust drug release performance. The use of ETHOCEL QbD samples also serves as a means to develop multiparticulate dosage formulations according to regulatory guidelines.
Drugs for neglected diseases: a failure of the market and a public health failure?
Trouiller, P; Torreele, E; Olliaro, P; White, N; Foster, S; Wirth, D; Pécoul, B
2001-11-01
Infectious diseases cause the suffering of hundreds of millions of people, especially in tropical and subtropical areas. Effective, affordable and easy-to-use medicines to fight these diseases are nearly absent. Although science and technology are sufficiently advanced to provide the necessary medicines, very few new drugs are being developed. However, drug discovery is not the major bottleneck. Today's R&D-based pharmaceutical industry is reluctant to invest in the development of drugs to treat the major diseases of the poor, because return on investment cannot be guaranteed. With national and international politics supporting a free market-based world order, financial opportunities rather than global health needs guide the direction of new drug development. Can we accept that the dearth of effective drugs for diseases that mainly affect the poor is simply the sad but inevitable consequence of a global market economy? Or is it a massive public health failure, and a failure to direct economic development for the benefit of society? An urgent reorientation of priorities in drug development and health policy is needed. The pharmaceutical industry must contribute to this effort, but national and international policies need to direct the global economy to address the true health needs of society. This requires political will, a strong commitment to prioritize health considerations over economic interests, and the enforcement of regulations and other mechanisms to stimulate essential drug development. New and creative strategies involving both the public and the private sector are needed to ensure that affordable medicines for today's neglected diseases are developed. Priority action areas include advocating an essential medicines R&D agenda, capacity-building in and technology transfer to developing countries, elaborating an adapted legal and regulatory framework, prioritizing funding for essential drug development and securing availability, accessibility, distribution and rational use of these drugs.
Wang, Kejian; Wan, Mei; Wang, Rui-Sheng; Weng, Zuquan
2016-04-01
Drug repositioning refers to the process of developing new indications for existing drugs. As a phenotypic indicator of drug response in humans, clinical side effects may provide straightforward signals and unique opportunities for drug repositioning. We aimed to identify drugs frequently associated with hypotension adverse reactions (ie, the opposite condition of hypertension), which could be potential candidates as antihypertensive agents. We systematically searched the electronic records of the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) through the openFDA platform to assess the association between hypotension incidence and antihypertensive therapeutic effect regarding a list of 683 drugs. Statistical analysis of FAERS data demonstrated that those drugs frequently co-occurring with hypotension events were more likely to have antihypertensive activity. Ranked by the statistical significance of frequent hypotension reporting, the well-known antihypertensive drugs were effectively distinguished from others (with an area under the receiver operating characteristic curve > 0.80 and a normalized discounted cumulative gain of 0.77). In addition, we found a series of antihypertensive agents (particularly drugs originally developed for treating nervous system diseases) among the drugs with top significant reporting, suggesting the good potential of Web-based and data-driven drug repositioning. We found several candidate agents among the hypotension-related drugs on our list that may be redirected for lowering blood pressure. More important, we showed that a pharmacovigilance system could alternatively be used to identify antihypertensive agents and sustainably create opportunities for drug repositioning.
Mátyus, Péter; Chai, Christina L L
2016-06-20
Multitargeting is a valuable concept in drug design for the development of effective drugs for the treatment of multifactorial diseases. This concept has most frequently been realized by incorporating two or more pharmacophores into a single hybrid molecule. Many such hybrids, due to the increased molecular size, exhibit unfavorable physicochemical properties leading to adverse effects and/or an inappropriate ADME (absorption, distribution, metabolism, and excretion) profile. To avoid this limitation and achieve additional therapeutic benefits, here we describe a novel multitargeting strategy based on the synergistic effects of a parent drug and its active metabolite(s). The concept of metabolism-activated multitargeting (MAMUT) is illustrated using a number of examples. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Collaboration with Pharma Will Introduce Nanotechnologies in Early Stage Drug Development | Poster
The Frederick National Lab has begun to assist several major pharmaceutical companies in adopting nanotechnologies in early stage drug development, when the approach is most efficient and cost-effective.
Challenges in orphan drug development and regulatory policy in China.
Cheng, Alice; Xie, Zhi
2017-01-18
While regulatory policy is well defined for orphan drug development in the United States and Europe, rare disease policy in China is still evolving. Many Chinese patients currently pay out of pocket for international treatments that are not yet approved in China. The lack of a clear definition and therefore regulatory approval process for rare diseases has, until now, de-incentivized pharmaceutical companies to pursue rare disease drug development in China. In turn, many grassroots movements have begun to support rare disease patients and facilitate drug discovery through research. Recently, the Chinese FDA set new regulatory guidelines for drugs being developed in China, including an expedited review process for life-saving treatments. In this review, we discuss the effects of these new policy changes on and suggest potential solutions to innovate orphan drug development in China.
Guthrie, Kate M; Rosen, Rochelle K; Vargas, Sara E; Guillen, Melissa; Steger, Arielle L; Getz, Melissa L; Smith, Kelley A; Ramirez, Jaime J; Kojic, Erna M
2017-10-01
The development of HIV-preventive topical vaginal microbicides has been challenged by a lack of sufficient adherence in later stage clinical trials to confidently evaluate effectiveness. This dilemma has highlighted the need to integrate translational research earlier in the drug development process, essentially applying behavioral science to facilitate the advances of basic science with respect to the uptake and use of biomedical prevention technologies. In the last several years, there has been an increasing recognition that the user experience, specifically the sensory experience, as well as the role of meaning-making elicited by those sensations, may play a more substantive role than previously thought. Importantly, the role of the user-their sensory perceptions, their judgements of those experiences, and their willingness to use a product-is critical in product uptake and consistent use post-marketing, ultimately realizing gains in global public health. Specifically, a successful prevention product requires an efficacious drug, an efficient drug delivery system, and an effective user. We present an integrated iterative drug development and user experience evaluation method to illustrate how user-centered formulation design can be iterated from the early stages of preclinical development to leverage the user experience. Integrating the user and their product experiences into the formulation design process may help optimize both the efficiency of drug delivery and the effectiveness of the user.
Psychiatric side effects of antihypertensive drugs other than reserpine.
Paykel, E S; Fleminger, R; Watson, J P
1982-02-01
The psychiatric side effects of the major antihypertensive drugs other than reserpine are reviewed, including centrally acting drugs such as methyldopa and clonidine, peripheral adrenergic drugs such as guanethidine, beta-adrenoceptor blockers such as propranolol, and diuretics. Problems with differential diagnosis and with the interpretation of case reports make assessment of psychiatric side effects difficult. Sedation and sleep disturbances are the most common side effects, occurring with methyldopa, clonidine, and propranolol. Only methyldopa is clearly associated with depression. Other reported effects are toxic confusional states and psychotic reactions. These are rare, however, and no clear patterns of development have been recognized.
Role of Statistical Random-Effects Linear Models in Personalized Medicine
Diaz, Francisco J; Yeh, Hung-Wen; de Leon, Jose
2012-01-01
Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in the development of personalized medicine, which aims at finding treatment regimes that are appropriate for particular patients, not just appropriate for the average patient. In fact, published developments show that random-effects linear models may provide a solid theoretical framework for drug dosage individualization in chronic diseases. In particular, individualized dosages computed with these models by means of an empirical Bayesian approach may produce better results than dosages computed with some methods routinely used in therapeutic drug monitoring. This is further supported by published empirical and theoretical findings that show that random effects linear models may provide accurate representations of phase III and IV steady-state pharmacokinetic data, and may be useful for dosage computations. These models have applications in the design of clinical algorithms for drug dosage individualization in chronic diseases; in the computation of dose correction factors; computation of the minimum number of blood samples from a patient that are necessary for calculating an optimal individualized drug dosage in therapeutic drug monitoring; measure of the clinical importance of clinical, demographic, environmental or genetic covariates; study of drug-drug interactions in clinical settings; the implementation of computational tools for web-site-based evidence farming; design of pharmacogenomic studies; and in the development of a pharmacological theory of dosage individualization. PMID:23467392
Bajaj, Vijay Kumar; Gupta, Radhey S
2013-08-01
Male contraceptive development in the present scenario is most viable aspect of research due to uncontrolled population growth in the world. In this respect investigators are busy to find out a safe male contraceptive drug. Researchers have started their finding for a suitable drug from natural sources because these are safe and easily acceptable for common man, most of natural sources are plants and their products. In this review 137 plants and their effects on reproduction and reproductive physiology are summarized. Some of them have intense effect on male reproductive system and do not produce any side effects. Reproductive toxicological studies are also important aspects of these kinds of researches, so it is important that drugs are safe and widely acceptable. An ideal male contraceptive can influence semen, testes, hormone level, accessory reproductive organs and general physiology of animals and produced some alterations. Many plants in this review are showing antifertility as well as antispermatogenic effects, so these may be used for further study for contraceptives development but it is important to find out the mechanism of reaction and further laboratory and clinical research on some plants are needed for final male contraceptive drug development. In conclusion this review will help for finding suitable plant products for male contraceptive clinical and laboratory studies.
Applying fiber optical methods for toxicological testing in vitro
NASA Astrophysics Data System (ADS)
Maerz, Holger K.; Buchholz, Rainer; Emmrich, Frank; Fink, Frank; Geddes, Clive L.; Pfeifer, Lutz; Raabe, Ferdinand; Scheper, Thomas-Helmut; Ulrich, Elizabeth; Marx, Uwe
1999-04-01
The new medical developments, e.g. immune therapy, patient oriented chemotherapy or even gene therapy, create a questionable doubt to the further requirement of animal test. Instead the call for humanitarian reproductive in vitro models becomes increasingly louder. Pharmaceutical usage of in vitro has a long proven history. In cancer research and therapy, the effect of chemostatica in vitro in the so-called oncobiogram is being tested; but the assays do not always correlate with in vivo-like drug resistance and sensitivity. We developed a drug test system in vitro, feasible for therapeutic drug monitoring by the combination of tissue cultivation in hollow fiber bioreactors and fiber optic sensors for monitoring the pharmaceutical effect. Using two fiber optic sensors - an optical oxygen sensor and a metabolism detecting Laserfluoroscope, we were able to successfully monitor the biological status of tissue culture and the drug or toxic effects of in vitro pharmaceutical testing. Furthermore, we developed and patented a system for monitoring the effect of minor toxic compounds which can induce Sick Building Syndrome.
Cardiovascular Organ-on-a-Chip Platforms for Drug Discovery and Development
Ribas, João; Sadeghi, Hossein; Manbachi, Amir; Leijten, Jeroen; Brinegar, Katelyn; Zhang, Yu Shrike; Ferreira, Lino
2016-01-01
Abstract Cardiovascular diseases are prevalent worldwide and are the most frequent causes of death in the United States. Although spending in drug discovery/development has increased, the amount of drug approvals has seen a progressive decline. Particularly, adverse side effects to the heart and general vasculature have become common causes for preclinical project closures, and preclinical models do not fully recapitulate human in vivo dynamics. Recently, organs-on-a-chip technologies have been proposed to mimic the dynamic conditions of the cardiovascular system—in particular, heart and general vasculature. These systems pay particular attention to mimicking structural organization, shear stress, transmural pressure, mechanical stretching, and electrical stimulation. Heart- and vasculature-on-a-chip platforms have been successfully generated to study a variety of physiological phenomena, model diseases, and probe the effects of drugs. Here, we review and discuss recent breakthroughs in the development of cardiovascular organs-on-a-chip platforms, and their current and future applications in the area of drug discovery and development. PMID:28971113
Farrell, Dorothy; Ptak, Krzysztof; Panaro, Nicholas J; Grodzinski, Piotr
2011-02-01
The new generation of nanotechnology-based drug formulations is challenging the accepted ways of cancer treatment. Multi-functional nanomaterial constructs have the capability to be delivered directly to the tumor site and eradicate cancer cells selectively, while sparing healthy cells. Tailoring of the nano-construct design can result in enhanced drug efficacy at lower doses as compared to free drug treatment, wider therapeutic window, and lower side effects. Nanoparticle carriers can also address several drug delivery problems which could not be effectively solved in the past and include reduction of multi-drug resistance effects, delivery of siRNA, and penetration of the blood-brain-barrier. Although challenges in understanding toxicity, biodistribution, and paving an effective regulatory path must be met, nanoscale devices carry a formidable promise to change ways cancer is diagnosed and treated. This article summarizes current developments in nanotechnology-based drug delivery and discusses path forward in this field. The discussion is done in context of research and development occurring within the NCI Alliance for Nanotechnology in Cancer program.
Development of Metronidazole-Loaded Colon-Targeted Microparticulate Drug Delivery System.
Kumar, Manoj; Awasthi, Rajendra
2015-01-01
Crohn’s disease and ulcerative colitis are the main autoimmune inflammatory bowel diseases. Metronidazole is the most commonly used drug for the treatment of Crohn’s disease. However, the pharmacokinetic profile of this drug indicates that the largest amount of the drug is absorbed from the upper part of the intestines and very little concentration of the drugs reaches the colon.Objectives: The aim of this investigation was to formulate metronidazole loaded microspheres for the efficient therapy of inflammatory bowel diseases.Material and Methods: Microspheres were prepared using the emulsification-solvent evaporation method. The effect of Eudragit S100 concentration and the ratio of liquid paraffin (light: heavy) on percentage yield, particle size, morphology, drug encapsulation and in vitro drug release was examined. Drug-polymer interaction was investigated using Fourier Transformed Infrared Spectroscopy (FTIR). The results showed that the particle had good flow properties, encapsulation efficiency (56.11 ・} 1.51–81.02 ・} 2.14%)and cumulative drug release (64.14 ・} 0.83–79.69 ・} 2.45%) in a phosphate buffer (pH 6.8) after 10 h of the dissolution study.An increased particle size was observed with an increasing polymer concentration. It was observed that the Eudragit had a positive effect on the drug encapsulation and negative effect on drug release. Aggregation of drug-polymer droplets was observed at a lower level of magnesium stearate during microsphere preparation. The results of FTIR spectroscopy revealed the absence of any drug-polymer interactions. However, slight peak shifting and suppression in peak height was observed.This might be due to the minor ionic interactions. The microspheres were discrete, spherical and free-flowing. The spherical shape of the microspheres was confirmed from SEM photomicrographs. The developed microspheres showed a controlled drug release and were found to follow Higuchi’s model. The release mechanism of metronidazole from the microspheres was Fickian diffusion without swelling. The results suggest that the developed microspheres could enhance drug entrapment, and inflect the drug release.
Matos, L; Afonso, A
2003-01-01
The authors allude to the composed anti-thyroid drugs, blocking drugs, iodides, radioactive iodine, lithium carbonate and tyrosine side effects. The most common are composed anti-thyroid drugs and tyrosine. Anti-thyroid drugs risks are related to the tresspassing of the placenta barrier which can induce in goitre and hypothyroidism. Thyroid hormones are also very important for the fetus neural development during the first quarter when they cross the placenta.
ERIC Educational Resources Information Center
Matson, Johnny L.; Fodstad, Jill C.; Rivet, Tessa T.
2008-01-01
Background: Medication side-effects such as tardive dyskinesia (TD) are known to occur in individuals with a history of psychotropic drug use. This study aimed to contribute to the development of measures for assessing TD by examining the validity of the "Matson Evaluation of Drug Side-effects" (MEDS) with the "Dyskinesia…
[Advances on antitumor effect of parasites].
Wang, Su-wen; Sun, Jun
2014-08-01
Immune response induced by parasites could inhibit tumor growth and promote apoptosis of tumor cells. The investigation into this character will provide new insights on the anti-tumor effect of parasites. The mechanism of parasite immune evasion may provide a reference for tumor research. Furthermore, some anti-parasitic drugs have shown antitumor effect indicating that the development of antitumor drugs may get inspiration from anti-parasitic drug studies.
Zhu, Qingxia; Yu, Xiaoyan; Wu, Zebing; Lu, Feng; Yuan, Yongfang
2018-07-19
Antipsychotics are the drugs most often involved in drug poisoning cases, and therefore, therapeutic drug monitoring (TDM) is necessary for safe and effective medication administration of these drugs. In this study, a coffee ring effect-based surface-enhanced Raman spectroscopy (CRE-SERS) method was developed and successfully used to monitor antipsychotic poisoning by using urine samples for the first time. The established method exhibited excellent SERS performance since more hot spots were obtained in the "coffee ring". Using the optimized CRE-SERS method, the sensitivity was improved one order more than that of the conventional method with reasonable reproducibility. The antipsychotic drug clozapine (CLO) spiked into urine samples at 0.5-50 μg mL -1 was quantitatively detected, at concentrations above the thresholds for toxicity. The CRE-SERS method allowed CLO and its metabolites to be ultimately distinguished from real poisoning urine samples. The coffee-ring effect would provide more opportunities for practical applications of the SERS-based method. The frequent occurrence of drug poisoning may have created a new area for the application of the CRE-SERS method. It is anticipated that the developed method will also have great potential for other drug poisoning monitoring. Copyright © 2018 Elsevier B.V. All rights reserved.
Cocaine addiction and personality: a mathematical model.
Caselles, Antonio; Micó, Joan C; Amigó, Salvador
2010-05-01
The existence of a close relation between personality and drug consumption is recognized, but the corresponding causal connection is not well known. Neither is it well known whether personality exercises an influence predominantly at the beginning and development of addiction, nor whether drug consumption produces changes in personality. This paper presents a dynamic mathematical model of personality and addiction based on the unique personality trait theory (UPTT) and the general modelling methodology. This model attempts to integrate personality, the acute effect of drugs, and addiction. The UPTT states the existence of a unique trait of personality called extraversion, understood as a dimension that ranges from impulsive behaviour and sensation-seeking (extravert pole) to fearful and anxious behaviour (introvert pole). As a consequence of drug consumption, the model provides the main patterns of extraversion dynamics through a system of five coupled differential equations. It combines genetic extraversion, as a steady state, and dynamic extraversion in a unique variable measured on the hedonic scale. The dynamics of this variable describes the effects of stimulant drugs on a short-term time scale (typical of the acute effect); while its mean time value describes the effects of stimulant drugs on a long-term time scale (typical of the addiction effect). This understanding may help to develop programmes of prevention and intervention in drug misuse.
The effects of Psychotropic drugs On Developing brain (ePOD) study: methods and design.
Bottelier, Marco A; Schouw, Marieke L J; Klomp, Anne; Tamminga, Hyke G H; Schrantee, Anouk G M; Bouziane, Cheima; de Ruiter, Michiel B; Boer, Frits; Ruhé, Henricus G; Denys, Damiaan; Rijsman, Roselyne; Lindauer, Ramon J L; Reitsma, Hans B; Geurts, Hilde M; Reneman, Liesbeth
2014-02-19
Animal studies have shown that methylphenidate (MPH) and fluoxetine (FLX) have different effects on dopaminergic and serotonergic system in the developing brain compared to the developed brain. The effects of Psychotropic drugs On the Developing brain (ePOD) study is a combination of different approaches to determine whether there are related findings in humans. Animal studies were carried out to investigate age-related effects of psychotropic drugs and to validate new neuroimaging techniques. In addition, we set up two double-blind placebo controlled clinical trials with MPH in 50 boys (10-12 years) and 50 young men (23-40 years) suffering from ADHD (ePOD-MPH) and with FLX in 40 girls (12-14 years) and 40 young women (23-40 years) suffering from depression and anxiety disorders (ePOD-SSRI). Trial registration numbers are: Nederlands Trial Register NTR3103 and NTR2111. A cross-sectional cohort study on age-related effects of these psychotropic medications in patients who have been treated previously with MPH or FLX (ePOD-Pharmo) is also ongoing. The effects of psychotropic drugs on the developing brain are studied using neuroimaging techniques together with neuropsychological and psychiatric assessments of cognition, behavior and emotion. All assessments take place before, during (only in case of MPH) and after chronic treatment. The combined results of these approaches will provide new insight into the modulating effect of MPH and FLX on brain development.
The effects of Psychotropic drugs On Developing brain (ePOD) study: methods and design
2014-01-01
Background Animal studies have shown that methylphenidate (MPH) and fluoxetine (FLX) have different effects on dopaminergic and serotonergic system in the developing brain compared to the developed brain. The effects of Psychotropic drugs On the Developing brain (ePOD) study is a combination of different approaches to determine whether there are related findings in humans. Methods/Design Animal studies were carried out to investigate age-related effects of psychotropic drugs and to validate new neuroimaging techniques. In addition, we set up two double-blind placebo controlled clinical trials with MPH in 50 boys (10–12 years) and 50 young men (23–40 years) suffering from ADHD (ePOD-MPH) and with FLX in 40 girls (12–14 years) and 40 young women (23–40 years) suffering from depression and anxiety disorders (ePOD-SSRI). Trial registration numbers are: Nederlands Trial Register NTR3103 and NTR2111. A cross-sectional cohort study on age-related effects of these psychotropic medications in patients who have been treated previously with MPH or FLX (ePOD-Pharmo) is also ongoing. The effects of psychotropic drugs on the developing brain are studied using neuroimaging techniques together with neuropsychological and psychiatric assessments of cognition, behavior and emotion. All assessments take place before, during (only in case of MPH) and after chronic treatment. Discussion The combined results of these approaches will provide new insight into the modulating effect of MPH and FLX on brain development. PMID:24552282
Direct‐to‐consumer advertising of pharmaceuticals: developed countries experiences and Turkey
Semin, Semih; Aras, Şahbal; Guldal, Dilek
2006-01-01
Abstract While several major problems concerning drugs occur in the world, the attempts to direct‐to‐consumer advertising (DTCA) has gained a considerable impetus lately in both developed and developing countries. DTCA has increasingly become an appealing advertising alternative for the pharmaceutical industry as drug companies have come to wrestle with such problems as the expansion of the drug market; the decline of the medical representatives’ work efficiency; drug reimbursement restrictions; and the escalating role of the Internet in the consumer market. Some of the main disadvantages of the DTCA are: increasing drug expenditures, unnecessary drug consumption and adverse effect risks. Even though the influence of pharmaceuticals on health services and the economy hold the same importance in the developed and developing countries, its negative consequences have increased by encompassing developing countries in its grip. Therefore, in this review, using Turkey as an example, the situation of direct‐to‐consumer advertisements in developing countries is analysed in relation with developed countries. PMID:17324191
Direct-to-consumer advertising of pharmaceuticals: developed countries experiences and Turkey.
Semin, Semih; Aras, Sahbal; Guldal, Dilek
2007-03-01
While several major problems concerning drugs occur in the world, the attempts to direct-to-consumer advertising (DTCA) has gained a considerable impetus lately in both developed and developing countries. DTCA has increasingly become an appealing advertising alternative for the pharmaceutical industry as drug companies have come to wrestle with such problems as the expansion of the drug market; the decline of the medical representatives' work efficiency; drug reimbursement restrictions; and the escalating role of the Internet in the consumer market. Some of the main disadvantages of the DTCA are: increasing drug expenditures, unnecessary drug consumption and adverse effect risks. Even though the influence of pharmaceuticals on health services and the economy hold the same importance in the developed and developing countries, its negative consequences have increased by encompassing developing countries in its grip. Therefore, in this review, using Turkey as an example, the situation of direct-to-consumer advertisements in developing countries is analysed in relation with developed countries.
Fiorentino, Robert; Liu, Gumei; Pariser, Anne R; Mulberg, Andrew E
2012-09-01
Like many rare diseases, eosinophilic esophagitis (EoE) is a poorly understood disorder, and assessment tools to accurately determine disease activity, remission, and natural history have long been inadequate. Clinical outcome end points able to assess the effectiveness of candidate therapeutic agents in clinical trials have been a particular deficiency and are urgently needed. With no approved therapy available to patients and with the prevalence of EoE on the increase, collaborative approaches to drug development are becoming ever more important. We describe a collaborative effort mobilized across institutions, including both the public and private sectors, that was initiated within the past 18 months expressly to address the need for further clinical research into the cause and treatment of EoE. Collaborators include the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition; the International Gastrointestinal Eosinophilic Researchers; and the US Food and Drug Administration. This effort has resulted in the elucidation of several parameters essential for effective EoE registration trials, including the need for clinically meaningful end points that measure changes in clinical symptoms in addition to the assessment of intraepithelial mucosal eosinophilia. The development and use of biomarkers, particularly in early-phase drug development, have become an important focus for investigations that might reduce clinical reliance on serial invasive monitoring. The concerted efforts described here to develop rational therapeutics and drug development paradigms in EoE also appear to provide a model for effective collaboration in the context of drug development for rare diseases and perhaps more generally for public health initiatives. Published by Mosby, Inc.
Self assembled materials: design strategies and drug delivery perspectives.
Verma, Gunjan; Hassan, P A
2013-10-28
Self assembly of small molecules in complex supramolecular structures provides a new avenue in the development of materials for drug delivery applications. Owing to the low aqueous solubility of various drugs, an effective delivery system is often required to reach sufficient drug bioavailability and/or to facilitate clinical use. Micelles, amphiphilic gels, vesicles (liposomes), nanodisks, cubosomes, colloidosomes, tubules, microemulsions, lipid particles, polyelectrolyte capsules etc. are some of the intriguing structures formed via self assembly. As well as enabling improved solubilization, such materials can be tuned to offer a range of other advantages, including controlled or stimuli sensitive drug release, protection from drug hydrolysis and chemical or enzymatic degradation, a reduction in toxicity, improvement of drug availability, prevention of RES uptake or selective targeting to organelles etc. Such multiple functionalities can be brought together by self assembly of different functional molecules. This route offers a cost effective means of developing drug delivery carriers tailored to specific needs. Our current understanding of the microstructure evolution of self assembled materials will go a long way towards designing/selecting molecules to create well defined structures. We believe that most of the potential resources mentioned above are untapped and that there is a need to further strengthen research in this area to fully exploit their potential. Selective cross linking of core or shell, stimuli sensitive amphiphiles, prodrug amphiphiles, antibody coupled amphiphiles etc. are only some of the new approaches for the development of effective drug delivery systems via self assembly.
Computer listing of the effects of drugs on laboratory data
Young, D. S.; Thomas, D. W.; Friedman, R. B.
1972-01-01
A listing of approximately 10000 effects of drugs on tests performed in clinical laboratories has been developed in a time-shared computer. The list contains a directory for matching proprietary and generic names of drugs and an explanation for the mode of action of the drug on each test. Each entry is supported by a bibliographical reference that contains the author's names, and the title of the article and journal. It is possible to search for specific `character strings' (word or words, number, etc) to obtain all the effects of a particular drug, or all drugs that affect a particular test, or even to search for a specific explanation for an effect. The system is undergoing trial in the Department's own computer to permit of automatic correlation of the effects of drugs with laboratory data from patients in one hospital ward. PMID:4648544
Unintended Effects of Orphan Product Designation for Rare Neurological Diseases
Murphy, Sinéad M; Puwanant, Araya; Griggs, Robert C.
2012-01-01
Since the introduction of the Orphan Drug Act in 1983, designed to promote development of treatments for rare diseases, at least 378 orphan drugs have been approved. Incentives include financial support, tax credits and, perhaps most importantly, extended market exclusivity. These incentives have encouraged industry interest and accelerated research on rare diseases, allowing patients with orphan diseases access to treatments. However, extended market exclusivity has been associated with unacceptably high drug costs; both for newly developed drugs and even for drugs which were previously widely available. We suggest that a paradoxical effect of orphan product exclusivity can be reduced patient access to existing drugs. In addition, the costs of each new drug are arguably unsustainable for patients and for the American health care system. Of all the specialties, neurology has the third highest number of orphan product designations, and neurological diseases account for at least one fifth of rare diseases. Citing the use of tetrabenazine for chorea in Huntington’s disease, adrenocorticotropic hormone for infantile spasms and enzyme replacement therapy with alglucosidase alpha for Pompe’s disease we highlight these paradoxical effects. PMID:23109143
The intersection of stress, drug abuse and development.
Thadani, Pushpa V
2002-01-01
Use or abuse of licit and illicit substances is often associated with environmental stress. Current clinical evidence clearly demonstrates neurobehavioral, somatic growth and developmental deficits in children born to drug-using mothers. However, the effects of environmental stress and its interaction with prenatal drug exposure on a child's development is unknown. Studies in pregnant animals under controlled conditions show drug-induced long-term alterations in brain structures and functions of the offspring. These cytoarchitecture alterations in the brain are often associated with perturbations in neurotransmitter systems that are intimately involved in the regulation of the stress responses. Similar abnormalities have been observed in the brains of animals exposed to other adverse exogenous (e.g., environmental stress) and/or endogenous (e.g., glucocorticoids) experiences during early life. The goal of this article is to: (1) provide evidence and a perspective that common neural systems are influenced during development both by perinatal drug exposure and early stress exposure; and (2) identify gaps and encourage new research examining the effects of early stress and perinatal drug exposure, in animal models, that would elucidate how stress- and drug-induced perturbations in neural systems influence later vulnerability to abused drugs in adult offspring.
Delayed access to treatments for rare diseases: who's to blame?
Feltmate, Karen; Janiszewski, Peter M; Gingerich, Sheena; Cloutier, Michael
2015-04-01
The development and commercialization of drugs for rare diseases, termed 'orphan drugs', has historically been economically unattractive. However, because of the introduction of legislation that provides financial and regulatory incentives for the development of orphan drugs, new developments are making their way through the regulatory approval processes. Unfortunately, delays in availability of new drugs for treating rare disease continue to persist. This paper reviews the approach of several regulatory jurisdictions to orphan drugs in an effort to determine their relative effectiveness in providing patient access. Generally speaking, regulatory authorities across jurisdictions have recognized the need to enhance timely access to safe, effective treatment for patients with rare diseases and have been able to shift the approval timelines for access to new care. The greater impediment to orphan drug access appears to be funding, particularly in publicly sponsored health-care systems. Redundancies in federal and provincial reviews of orphan drugs can result in significant delays in access to new drugs. Clearly, more must be done to accelerate access to the treatments so desperately needed by patients. Public payers must be held accountable for their process and decisions--especially for rare disease therapies. © 2015 Asian Pacific Society of Respirology.
Marijuana and Cocaine Effect Expectancies and Drug Use Patterns.
ERIC Educational Resources Information Center
Schafer, John; Brown, Sandra A.
1991-01-01
Content analyzed self-reports from 704 college students and used results to develop Marijuana Effect Expectancy Questionnaire and Cocaine Effect Expectancy Questionnaire. Identified six marijuana expectancies and five cocaine expectancies. Drug effect expectancies distinguished between patterns of nonuse and varying degrees of use of these two…
Exploring Different Strategies for Efficient Delivery of Colorectal Cancer Therapy
Lin, Congcong; Ng, Huei Leng Helena; Pan, Weisan; Chen, Hubiao; Zhang, Ge; Bian, Zhaoxiang; Lu, Aiping; Yang, Zhijun
2015-01-01
Colorectal cancer (CRC) is the third most common cancer and the fourth leading cause of cancer death in the world. Currently available chemotherapy of CRC usually delivers the drug to both normal as well as cancerous tissues, thus leading to numerous undesirable effects. Much emphasis is being laid on the development of effective drug delivery systems for achieving selective delivery of the active moiety at the anticipated site of action with minimized unwanted side effects. Researchers have employed various techniques (dependent on pH, time, pressure and/or bacteria) for targeting drugs directly to the colonic region. On the other hand, systemic drug delivery strategies to specific molecular targets (such as FGFR, EGFR, CD44, EpCAM, CA IX, PPARγ and COX-2) overexpressed by cancerous cells have also been shown to be effective. This review aims to put forth an overview of drug delivery technologies that have been, and may be developed, for the treatment of CRC. PMID:26569228
Shen, Xiaoyun; Orson, Frank M.; Kosten, Thomas R.
2012-01-01
Current medications for drug abuse have had only limited success. Anti-addiction vaccines to elicit antibodies that block the pharmacological effects of drugs have great potential for treating drug abuse. We review the status for two vaccines that are undergoing clinical trials (cocaine and nicotine) and two that are still in pre-clinical development (methamphetamine and heroin). We also outline the challenges and ethical concerns for anti-addiction vaccine development and their use as future therapeutics. PMID:22130115
Preparation and application of functionalized nano drug carriers.
Gong, Rudong; Chen, Gaimin
2016-05-01
Targeting at category memory characteristics and preparation methods of functionalized nano drugs, preparation technology of functionalized nano drug carriers is studied, and then important role of functionalized nano drug carrier in preparation of medicine is studied. Carry out the relevant literature search with computer, change limited language in the paper to Chinese and necessarily remove repetitive studies. After first review of 1260 retrieved literature, it can be found that nano drug is with accurate quantity, relatively good targeting, specificity and absorbency. Necessary research of nano drug carriers can prevent and treat disease to a certain extent. Preparation of functionalized nanocarrier is simple and convenient, which can improve frequency of use of nano preparation technology and provide better development space for medical use. Therefore, nanocarriers should be combined with drugs with relatively strong specificity in clinics, in order to be able to conduct effective research on nanometer intelligent drug, effectively promote long-term development of nano biotechnology, and then provide favorable, reliable basis for clinical diagnosis and treatment.
Side effects associated with anti-HIV drugs.
Highleyman, L
1998-04-01
Many side effects are associated with the use of anti-HIV drugs, impacting the development of drug resistance and the quality of life for HIV-patients. Concern about side effects is a primary factor in deterring people from beginning HIV therapy. Frequency and severity of side effects vary greatly, but they are frequently more common and severe in people who are taking a new drug or who have advanced HIV disease. Information on side effects comes largely from clinical trials; however, many side effects are not discovered until the drug has been approved and used by larger numbers of people. Side effects vary from serious toxicities that require stopping treatment to uncomfortable or annoying side effects that interfere with daily life. A table categorizes the four major side effects (nausea, fever, skin rash, and fatigue) and divides them into grades that describe their intensity. A chart lists the side effects associated with specific anti-HIV drugs. Suggestions for managing side effects are included.
A theory of drug tolerance and dependence II: the mathematical model.
Peper, Abraham
2004-08-21
The preceding paper presented a model of drug tolerance and dependence. The model assumes the development of tolerance to a repeatedly administered drug to be the result of a regulated adaptive process. The oral detection and analysis of exogenous substances is proposed to be the primary stimulus for the mechanism of drug tolerance. Anticipation and environmental cues are in the model considered secondary stimuli, becoming primary in dependence and addiction or when the drug administration bypasses the natural-oral-route, as is the case when drugs are administered intravenously. The model considers adaptation to the effect of a drug and adaptation to the interval between drug taking autonomous tolerance processes. Simulations with the mathematical model demonstrate the model's behaviour to be consistent with important characteristics of the development of tolerance to repeatedly administered drugs: the gradual decrease in drug effect when tolerance develops, the high sensitivity to small changes in drug dose, the rebound phenomenon and the large reactions following withdrawal in dependence. The present paper discusses the mathematical model in terms of its design. The model is a nonlinear, learning feedback system, fully satisfying control theoretical principles. It accepts any form of the stimulus-the drug intake-and describes how the physiological processes involved affect the distribution of the drug through the body and the stability of the regulation loop. The mathematical model verifies the proposed theory and provides a basis for the implementation of mathematical models of specific physiological processes.
Piktel, Ewelina; Niemirowicz, Katarzyna; Wątek, Marzena; Wollny, Tomasz; Deptuła, Piotr; Bucki, Robert
2016-05-26
The rapid development of nanotechnology provides alternative approaches to overcome several limitations of conventional anti-cancer therapy. Drug targeting using functionalized nanoparticles to advance their transport to the dedicated site, became a new standard in novel anti-cancer methods. In effect, the employment of nanoparticles during design of antineoplastic drugs helps to improve pharmacokinetic properties, with subsequent development of high specific, non-toxic and biocompatible anti-cancer agents. However, the physicochemical and biological diversity of nanomaterials and a broad spectrum of unique features influencing their biological action requires continuous research to assess their activity. Among numerous nanosystems designed to eradicate cancer cells, only a limited number of them entered the clinical trials. It is anticipated that progress in development of nanotechnology-based anti-cancer materials will provide modern, individualized anti-cancer therapies assuring decrease in morbidity and mortality from cancer diseases. In this review we discussed the implication of nanomaterials in design of new drugs for effective antineoplastic therapy and describe a variety of mechanisms and challenges for selective tumor targeting. We emphasized the recent advantages in the field of nanotechnology-based strategies to fight cancer and discussed their part in effective anti-cancer therapy and successful drug delivery.
NASA Astrophysics Data System (ADS)
Wang, Xiao-Gang; Dong, Zhi-Yue; Cheng, Hong; Wan, Shuang-Shuang; Chen, Wei-Hai; Zou, Mei-Zhen; Huo, Jia-Wei; Deng, He-Xiang; Zhang, Xian-Zheng
2015-09-01
Drug delivery systems (DDSs) with biocompatibility and precise drug delivery are eagerly needed to overcome the paradox in chemotherapy that high drug doses are required to compensate for the poor biodistribution of drugs with frequent dose-related side effects. In this work, we reported a metal-organic framework (MOF) based tumor targeting DDS developed by a one-pot, and organic solvent-free ``green'' post-synthetic surface modification procedure, starting from the nanoscale MOF MIL-101. Owing to the multifunctional surface coating, premature drug release from this DDS was prevented. Due to the pH responsive benzoic imine bond and the redox responsive disulfide bond at the modified surface, this DDS exhibited tumor acid environment enhanced cellular uptake and intracellular reducing environment triggered drug release. In vitro and in vivo results showed that DOX loaded into this DDS exhibited effective cancer cell inhibition with much reduced side effects.Drug delivery systems (DDSs) with biocompatibility and precise drug delivery are eagerly needed to overcome the paradox in chemotherapy that high drug doses are required to compensate for the poor biodistribution of drugs with frequent dose-related side effects. In this work, we reported a metal-organic framework (MOF) based tumor targeting DDS developed by a one-pot, and organic solvent-free ``green'' post-synthetic surface modification procedure, starting from the nanoscale MOF MIL-101. Owing to the multifunctional surface coating, premature drug release from this DDS was prevented. Due to the pH responsive benzoic imine bond and the redox responsive disulfide bond at the modified surface, this DDS exhibited tumor acid environment enhanced cellular uptake and intracellular reducing environment triggered drug release. In vitro and in vivo results showed that DOX loaded into this DDS exhibited effective cancer cell inhibition with much reduced side effects. Electronic supplementary information (ESI) available: Synthesis procedure, 1HNMR, ESI-MS and additional data. See DOI: 10.1039/c5nr04045k
Ma, Chifeng; Chen, Hung-I; Flores, Mario; Huang, Yufei; Chen, Yidong
2013-01-01
Connectivity map (cMap) is a recent developed dataset and algorithm for uncovering and understanding the treatment effect of small molecules on different cancer cell lines. It is widely used but there are still remaining challenges for accurate predictions. Here, we propose BRCA-MoNet, a network of drug mode of action (MoA) specific to breast cancer, which is constructed based on the cMap dataset. A drug signature selection algorithm fitting the characteristic of cMap data, a quality control scheme as well as a novel query algorithm based on BRCA-MoNet are developed for more effective prediction of drug effects. BRCA-MoNet was applied to three independent data sets obtained from the GEO database: Estrodial treated MCF7 cell line, BMS-754807 treated MCF7 cell line, and a breast cancer patient microarray dataset. In the first case, BRCA-MoNet could identify drug MoAs likely to share same and reverse treatment effect. In the second case, the result demonstrated the potential of BRCA-MoNet to reposition drugs and predict treatment effects for drugs not in cMap data. In the third case, a possible procedure of personalized drug selection is showcased. The results clearly demonstrated that the proposed BRCA-MoNet approach can provide increased prediction power to cMap and thus will be useful for identification of new therapeutic candidates.
Exploring the associations between drug side-effects and therapeutic indications.
Wang, Fei; Zhang, Ping; Cao, Nan; Hu, Jianying; Sorrentino, Robert
2014-10-01
Drug therapeutic indications and side-effects are both measurable patient phenotype changes in response to the treatment. Inferring potential drug therapeutic indications and identifying clinically interesting drug side-effects are both important and challenging tasks. Previous studies have utilized either chemical structures or protein targets to predict indications and side-effects. In this study, we compared drug therapeutic indication prediction using various information including chemical structures, protein targets and side-effects. We also compared drug side-effect prediction with various information sources including chemical structures, protein targets and therapeutic indication. Prediction performance based on 10-fold cross-validation demonstrates that drug side-effects and therapeutic indications are the most predictive information source for each other. In addition, we extracted 6706 statistically significant indication-side-effect associations from all known drug-disease and drug-side-effect relationships. We further developed a novel user interface that allows the user to interactively explore these associations in the form of a dynamic bipartitie graph. Many relationship pairs provide explicit repositioning hypotheses (e.g., drugs causing postural hypotension are potential candidates for hypertension) and clear adverse-reaction watch lists (e.g., drugs for heart failure possibly cause impotence). All data sets and highly correlated disease-side-effect relationships are available at http://astro.temple.edu/∼tua87106/druganalysis.html. Copyright © 2014 Elsevier Inc. All rights reserved.
Food intake attenuates the drug interaction between new quinolones and aluminum.
Imaoka, Ayuko; Abiru, Kosuke; Akiyoshi, Takeshi; Ohtani, Hisakazu
2018-01-01
Intestinal absorption of new quinolones is decreased by oral administration of polyvalent metal cations. Some clinical studies have demonstrated this drug - drug interaction is more prominent under fasted condition. However, the effect of food intake on the extent of drug - drug interaction between new quinolones and metal cations remains to be investigated quantitatively and systematically. The aim of this study was to develop an animal model that enables to evaluate the effect of food intake on the extent of drug - drug interaction in the gastrointestinal tract by chelation and to apply the model to evaluate quantitatively the effect of food intake on the drug - drug interaction between two new quinolones, ofloxacin or ciprofloxacin and sucralfate. The rats were orally administered new quinolones (5.3 mg/kg of ofloxacin or 10 mg/kg of ciprofloxacin) with or without 13.3 mg/kg of sucralfate under fasted or fed condition and plasma concentration profiles of new quinolones were monitored. To the fed group, standard breakfast used in human studies was pasted and administered at a dose of 8.8 g/kg. The area under the plasma concentration - time curves (AUC 0-6 ) of ofloxacin and ciprofloxacin under the fasted condition were significantly decreased to 28.8 and 17.1% by co-administration of sucralfate, respectively. On the contrary, sucralfate moderately decreased the AUC 0-6 of ofloxacin and ciprofloxacin to 54.9 and 33.2%, respectively, under fed condition. The effects of sucralfate and food intake on the kinetics of ofloxacin in this study were well consistent with the results of previous clinical trial. The developed animal model quantitatively reproduced the effect of food intake on the drug - drug interaction between ofloxacin and sucralfate. The similar influences were observed for the drug - drug interaction between ciprofloxacin and sucralfate, suggesting that the extent of drug - drug interaction caused by chelation is generally attenuated by food intake.
Effects of nicotine on ethanol-induced locomotor sensitization: A model of neuroadaptation.
Gubner, Noah R; Phillips, Tamara J
2015-07-15
Co-morbid use of nicotine-containing tobacco products and alcohol (ethanol) is prevalent in young adults initiating use and in alcohol dependent adults, suggesting that these drugs in combination may increase risk to develop dependence on one or both drugs. Neuroadaptations caused by repeated drug exposure are related to the development of drug dependence and vulnerability to relapse. Locomotor sensitization has been used as a behavioral measure used to detect changes in neural drug sensitivity that are thought to contribute to drug dependence and relapse. Locomotor sensitization was measured in the current studies to examine potential differences in the effects of nicotine and ethanol given alone and in combination. Baseline activity levels of DBA/2J mice were assessed on 2 days, then mice were treated for 10 days with saline, nicotine (1 or 2mg/kg of nicotine tartrate), ethanol (1 or 2g/kg), or nicotine plus ethanol and locomotor activity was assessed every third day. On the following day, all mice were challenged with ethanol to measure the expression of sensitization. Mice treated with both nicotine and ethanol exhibited greater stimulation than predicted from the combined independent effects of these drugs, consistent with our previously published results. The combined effects of nicotine and ethanol on locomotor sensitization were dependent on the dose of ethanol and whether testing was performed after the drugs were given together, or after challenge with ethanol alone. These results suggest that nicotine and ethanol in combination can have neuroadaptive effects that differ from the independent effects of these drugs. Published by Elsevier B.V.
Research & market strategy: how choice of drug discovery approach can affect market position.
Sams-Dodd, Frank
2007-04-01
In principal, drug discovery approaches can be grouped into target- and function-based, with the respective aims of developing either a target-selective drug or a drug that produces a specific biological effect irrespective of its mode of action. Most analyses of drug discovery approaches focus on productivity, whereas the strategic implications of the choice of drug discovery approach on market position and ability to maintain market exclusivity are rarely considered. However, a comparison of approaches from the perspective of market position indicates that the functional approach is superior for the development of novel, innovative treatments.
Engineering three-dimensional cardiac microtissues for potential drug screening applications.
Wang, L; Huang, G; Sha, B; Wang, S; Han, Y L; Wu, J; Li, Y; Du, Y; Lu, T J; Xu, F
2014-01-01
Heart disease is one of the major global health issues. Despite rapid advances in cardiac tissue engineering, limited successful strategies have been achieved to cure cardiovascular diseases. This situation is mainly due to poor understanding of the mechanism of diverse heart diseases and unavailability of effective in vitro heart tissue models for cardiovascular drug screening. With the development of microengineering technologies, three-dimensional (3D) cardiac microtissue (CMT) models, mimicking 3D architectural microenvironment of native heart tissues, have been developed. The engineered 3D CMT models hold greater potential to be used for assessing effective drugs candidates than traditional two-dimensional cardiomyocyte culture models. This review discusses the development of 3D CMT models and highlights their potential applications for high-throughput screening of cardiovascular drug candidates.
Drug-induced sarcoidosis-like reactions (DISR).
Chopra, Amit; Nautiyal, Amit; Kalkanis, Alexander; Judson, Marc A
2018-04-23
A drug-induced sarcoidosis-like reaction (DISR) is a systemic granulomatous reaction that is indistinguishable from sarcoidosis and occurs in temporal relationship with initiation of an offending drug. DISRs typically improve or resolve after the withdrawal of offending drug. Four common categories of drugs that have been associated with the development of a DISR are immune checkpoint inhibitors (ICIs), highly active anti-retroviral therapy (HAART), interferons (IFNs) and tumor necrosis factor alpha antagonists (TNF-alpha antagonists). Similar to sarcoidosis, DISRs do not necessarily require treatment, as they may cause no significant symptoms, quality of life impairment or organ dysfunction. When treatment of a DISR is required, standard anti-sarcoidosis regimens seem to be effective. As a DISR tends to improve or resolve when the offending drug is discontinued, this is another effective treatment for a DISR. However, the offending drug need not be discontinued if it is useful, and anti-granulomatous therapy can be added. In some situations, the development of a DISR may suggest a beneficial effect of the inducing drug. Understanding the mechanisms leading to DISRs may yield important insights into the immunopathogenesis of sarcoidosis. Copyright © 2018. Published by Elsevier Inc.
Salunkhe, Sachin S; Bhatia, Neela M; Bhatia, Manish S
2016-05-01
The aim of present investigation was to formulate and develop lipid-based nanostructured carriers (NLCs) containing Idebenone (IDE) for delivery to brain. Attempts have been made to evaluate IDE NLCs for its pharmacokinetic and pharmacodynamic profile through the objective of enhancement in bioavailability and effectivity of drug. Nanoprecipitation technique was used for development of drug loaded NLCs. The components solid lipid Precirol ATO 5, oil Miglyol 840, surfactants Tween 80 and Labrasol have been screened out for formulation development by consideration of preformulation parameters including solubility, Required Hydrophilic lipophilic balance (HLB) of lipids and stability study. Developed IDE NLCs were subjected for particle size, zeta potential, entrapment efficiency (%EE), crystallographic investigation, transmission electron microscopy, in vitro drug release, pharmacokinetics, in vivo and stability study. Formulation under investigation has particle size 174.1 ± 2.6 nm, zeta potential -18.65 ± 1.13 mV and% EE 90.68 ± 2.90. Crystallographic studies exemplified for partial amorphization of IDE by molecularly dispersion within lipid crust. IDE NLCs showed drug release 93.56 ± 0.39% at end of 24 h by following Higuchi model which necessitates for appropriate drug delivery with enhancement in bioavailability of drug by 4.6-fold in plasma and 2.8-fold in brain over plain drug loaded aqueous dispersions. In vivo studies revealed that effect of drug was enhanced by prepared lipid nanocarriers. IDE lipid-based nanostructured carriers could have potential for efficient drug delivery to brain with enhancement in bioavailability of drug over the conventional formulations.
Srinivas, Nuggehally R
2006-05-01
The development of sound bioanalytical method(s) is of paramount importance during the process of drug discovery and development culminating in a marketing approval. Although the bioanalytical procedure(s) originally developed during the discovery stage may not necessarily be fit to support the drug development scenario, they may be suitably modified and validated, as deemed necessary. Several reviews have appeared over the years describing analytical approaches including various techniques, detection systems, automation tools that are available for an effective separation, enhanced selectivity and sensitivity for quantitation of many analytes. The intention of this review is to cover various key areas where analytical method development becomes necessary during different stages of drug discovery research and development process. The key areas covered in this article with relevant case studies include: (a) simultaneous assay for parent compound and metabolites that are purported to display pharmacological activity; (b) bioanalytical procedures for determination of multiple drugs in combating a disease; (c) analytical measurement of chirality aspects in the pharmacokinetics, metabolism and biotransformation investigations; (d) drug monitoring for therapeutic benefits and/or occupational hazard; (e) analysis of drugs from complex and/or less frequently used matrices; (f) analytical determination during in vitro experiments (metabolism and permeability related) and in situ intestinal perfusion experiments; (g) determination of a major metabolite as a surrogate for the parent molecule; (h) analytical approaches for universal determination of CYP450 probe substrates and metabolites; (i) analytical applicability to prodrug evaluations-simultaneous determination of prodrug, parent and metabolites; (j) quantitative determination of parent compound and/or phase II metabolite(s) via direct or indirect approaches; (k) applicability in analysis of multiple compounds in select disease areas and/or in clinically important drug-drug interaction studies. A tabular representation of select examples of analysis is provided covering areas of separation conditions, validation aspects and applicable conclusion. A limited discussion is provided on relevant aspects of the need for developing bioanalytical procedures for speedy drug discovery and development. Additionally, some key elements such as internal standard selection, likely issues of mass detection, matrix effect, chiral aspects etc. are provided for consideration during method development.
RAS - Screens & Assays - Drug Discovery
The RAS Drug Discovery group aims to develop assays that will reveal aspects of RAS biology upon which cancer cells depend. Successful assay formats are made available for high-throughput screening programs to yield potentially effective drug compounds.
Drug repurposing: translational pharmacology, chemistry, computers and the clinic.
Issa, Naiem T; Byers, Stephen W; Dakshanamurthy, Sivanesan
2013-01-01
The process of discovering a pharmacological compound that elicits a desired clinical effect with minimal side effects is a challenge. Prior to the advent of high-performance computing and large-scale screening technologies, drug discovery was largely a serendipitous endeavor, as in the case of thalidomide for erythema nodosum leprosum or cancer drugs in general derived from flora located in far-reaching geographic locations. More recently, de novo drug discovery has become a more rationalized process where drug-target-effect hypotheses are formulated on the basis of already known compounds/protein targets and their structures. Although this approach is hypothesis-driven, the actual success has been very low, contributing to the soaring costs of research and development as well as the diminished pharmaceutical pipeline in the United States. In this review, we discuss the evolution in computational pharmacology as the next generation of successful drug discovery and implementation in the clinic where high-performance computing (HPC) is used to generate and validate drug-target-effect hypotheses completely in silico. The use of HPC would decrease development time and errors while increasing productivity prior to in vitro, animal and human testing. We highlight approaches in chemoinformatics, bioinformatics as well as network biopharmacology to illustrate potential avenues from which to design clinically efficacious drugs. We further discuss the implications of combining these approaches into an integrative methodology for high-accuracy computational predictions within the context of drug repositioning for the efficient streamlining of currently approved drugs back into clinical trials for possible new indications.
What Will Happen if . . . A Programmed Instruction Course on Drugs and Their Effects.
ERIC Educational Resources Information Center
Health Services and Mental Health Administration (DHEW), Bethesda, MD.
Developed by the National Institute of Mental Health, this booklet offers a programed instruction course on drugs and their effects. The purpose of the text is to learn about specific drugs which are currently being used and abused by a large group of people in our society. Narcotics, stimulants, depressants, hallucinogens, and marihuana are…
Trouiller, P
1996-01-01
The development of the antimalarial drugs mefloquine and halofantrine in 1988 by American military research teams marked a start in the decline in investment in tropical disease research and drug development. The globalization of the market, increased clinical costs, and constraints on public health spending caused the pharmaceutical industry to concentrate on more profitable market segments (cardiovascular drugs, antineoplastics, anti-infection drugs, etc.). The market in developing countries represents a large volume, but a very low return because the added value is small, generic drugs are used and the state of the populations is impoverished. The ten or so drugs that have been developed recently result from chance (eflornithine), veterinary research (ivermectin), fortuitous analysis of traditional pharmacopoeia (artemether) or reevaluations of former drugs (amopyroquine). The deficiency of research and drug development for diseases of the intertropical zone has a direct negative effect on public health and also reveals health policy inconsistencies, particularly the incompatibility of the pharmaceutical industry's interests and international health priorities. The problem is also aggravated by the closed approach of external health assistance (official development aid) which aims to minimize costs by favoring primary health care.
COMPUTER-AIDED DRUG DISCOVERY AND DEVELOPMENT (CADDD): in silico-chemico-biological approach
Kapetanovic, I.M.
2008-01-01
It is generally recognized that drug discovery and development are very time and resources consuming processes. There is an ever growing effort to apply computational power to the combined chemical and biological space in order to streamline drug discovery, design, development and optimization. In biomedical arena, computer-aided or in silico design is being utilized to expedite and facilitate hit identification, hit-to-lead selection, optimize the absorption, distribution, metabolism, excretion and toxicity profile and avoid safety issues. Commonly used computational approaches include ligand-based drug design (pharmacophore, a 3-D spatial arrangement of chemical features essential for biological activity), structure-based drug design (drug-target docking), and quantitative structure-activity and quantitative structure-property relationships. Regulatory agencies as well as pharmaceutical industry are actively involved in development of computational tools that will improve effectiveness and efficiency of drug discovery and development process, decrease use of animals, and increase predictability. It is expected that the power of CADDD will grow as the technology continues to evolve. PMID:17229415
ERIC Educational Resources Information Center
Guthrie, Patricia M.
This monograph focuses on school-based practices and programs that promote safe and drug-free schools. It begins with a description of the key characteristics of schools with effective programs and provides a model for school-wide support. Necessary steps for developing an effective system of universal prevention are listed and include: (1)…
Drug development against sleeping sickness: old wine in new bottles?
Stein, J; Mogk, S; Mudogo, C N; Sommer, B P; Scholze, M; Meiwes, A; Huber, M; Gray, A; Duszenko, M
2014-01-01
Atoxyl, the first medicinal drug against human African trypanosomiasis (HAT), also known as sleeping sickness, was applied more than 100 years ago. Ever since, the search for more effective, more specific and less toxic drugs continued, leading to a set of compounds currently in use against this devastating disease. Unfortunately, none of these medicines fulfill modern pharmaceutical requirements and may be considered as therapeutic ultima ratio due to the many, often severe side effects. Starting with a historic overview on drug development against HAT, we present a selection of trypanosome specific pathways and enzymes considered as highly potent druggable targets. In addition, we describe cellular mechanisms the parasite uses for differentiation and cell density regulation and present our considerations how interference with these steps, elementary for life cycle progression and infection, may lead to new aspects of drug development. Finally we refer to our recent work about CNS infection that offers novel insights in how trypanosomes hide in an immune privileged area to establish a chronic state of the disease, thereby considering new ways for drug application. Depressingly, HAT specific drug development has failed over the last 30 years to produce better suited medicine. However, unraveling of parasite-specific pathways and cellular behavior together with the ability to produce high resolution structures of essential parasite proteins by X-ray crystallography, leads us to the optimistic view that development of an ultimate drug to eradicate sleeping sickness from the globe might just be around the corner.
Multicomponent Implant Releasing Dexamethasone
NASA Astrophysics Data System (ADS)
Nikkola, L.; Vapalahti, K.; Ashammakhi, N.
2008-02-01
Several inflammatory conditions are usually treated with corticosteroids. There are various problems like side effects with traditional applications of steroids, e.g. topical, or systemic routes. Local drug delivery systems have been studied and developed to gain more efficient administration with fewer side effects. Earlier, we reported on developing Dexamethasone (DX) releasing biodegradable fibers. However, their drug release properties were not satisfactory in terms of onset of drug release. Thus, we assessed the development of multicomponent (MC) implant to enhance earlier drug release from such biodegradable fibers. Poly (lactide-co-glycolide) (PLGA) and 2 wt-% and 8 wt-% DX were compounded and extruded with twin-screw extruder to form of fibers. Some of the fibers were sterilized to obtain a change in drug release properties. Four different fiber classes were studied: 2 wt-%, 8 wt-%, sterilized 2 wt-%, and sterilized 8 wt-%. 3×4 different DX-releasing fibers were then heat-pressed to form one multicomponent rod. Half of the rods where sterilized. Drug release was measured from initial fibers and multicomponent rods using a UV/VIS spectrometer. Shear strength and changes in viscosity were also measured. Drug release studies showed that drug release commenced earlier from multicomponent rods than from component fibers. Drug release from multicomponent rods lasted from day 30 to day 70. The release period of sterilized rods extended from day 23 to day 57. When compared to the original component fibers, the drug release from MC rods commenced earlier. The initial shear strength of MC rods was 135 MPa and decreased to 105 MPa during four weeks of immersion in phosphate buffer solution. Accordingly, heat pressing has a positive effect on drug release. After four weeks in hydrolysis, no disintegration was observed.
Smout, Michael J.; Kotze, Andrew C.; McCarthy, James S.; Loukas, Alex
2010-01-01
Background Helminth parasites cause untold morbidity and mortality to billions of people and livestock. Anthelmintic drugs are available but resistance is a problem in livestock parasites, and is a looming threat for human helminths. Testing the efficacy of available anthelmintic drugs and development of new drugs is hindered by the lack of objective high-throughput screening methods. Currently, drug effect is assessed by observing motility or development of parasites using laborious, subjective, low-throughput methods. Methodology/Principal Findings Here we describe a novel application for a real-time cell monitoring device (xCELLigence) that can simply and objectively assess anthelmintic effects by measuring parasite motility in real time in a fully automated high-throughput fashion. We quantitatively assessed motility and determined real time IC50 values of different anthelmintic drugs against several developmental stages of major helminth pathogens of humans and livestock, including larval Haemonchus contortus and Strongyloides ratti, and adult hookworms and blood flukes. The assay enabled quantification of the onset of egg hatching in real time, and the impact of drugs on hatch rate, as well as discriminating between the effects of drugs on motility of drug-susceptible and –resistant isolates of H. contortus. Conclusions/Significance Our findings indicate that this technique will be suitable for discovery and development of new anthelmintic drugs as well as for detection of phenotypic resistance to existing drugs for the majority of helminths and other pathogens where motility is a measure of pathogen viability. The method is also amenable to use for other purposes where motility is assessed, such as gene silencing or antibody-mediated killing. PMID:21103363
Insulin sparing action of adenovirus 36 and its E4orf1 protein.
Dhurandhar, Nikhil V
2013-01-01
Additional drugs are required to effectively manage diabetes and its complications. Recent studies have revealed protective effects of Ad36, a human adenovirus, and its E4orf1 protein on glucose disposal, which may be creatively harnessed to develop novel anti-diabetic agents. Experimental Ad36 infection improves hyperglycemia in animal models and natural Ad36 infection in humans is associated with better glycemic control. Available data indicate distinctive advantages for a drug that may mimic the action of Ad36/E4orf1. The key features of such a potential drug include the ability to increase glucose uptake by adipose tissue and skeletal muscle, to reduce hepatic glucose output independent of proximal insulin signaling, and to up-regulate adiponectin and its hepatic action. The effect of Ad36/E4orf1 on hepatocyte metabolism suggests a role for treating hepatic steatosis. Despite these potential advantages, considerable research is required before such a drug is developed. The in vivo efficacy and safety of E4orf1 in improving hyperglycemia remain unknown, and an appropriate drug delivery system is required. Nonetheless, Ad36 E4orf1 offers a research opportunity to develop a new anti-diabetic agent with multiple potential advantages and conceptually advances the use of a rather unconventional source, microbial proteins, for anti-diabetic drug development. Copyright © 2013 Elsevier Inc. All rights reserved.
Brixner, Diana I; Watkins, John B
2012-06-01
Comparative effectiveness research (CER) has been proposed in the United States as a way to compare new drugs and technologies with established alternatives and determine not just whether a therapy works, but how well it works compared to other options. To define the current use of CER in the development of new drugs and technologies and explore what is needed for this research approach to reduce or stabilize health care costs in the United States. In 2010, the Patient-Centered Outcomes Research Institute (PCORI) was established by the Patient Protection and Affordable Care Act (PPACA) to coordinate federally funded CER and recommend research priorities. Hochman and McCormick's (2010) evaluation of 328 randomized trials, observational studies, and meta-analyses involving medications published between June 2008 and September 2009 in 6 key journals showed that most published research did not fulfill the criteria of CER (defined as comparison to active treatment) and that most study design is driven by FDA requirements rather than the need to develop evidence to facilitates election of the most effective therapy. Since PPACA provides alternative funding for CER, it could encourage funding more studies to help determine which treatment delivers the best value per unit of investment from clinical, humanistic, and economic perspectives. Manufacturers may avoid CER because it increases product development costs, but a drug proven more effective is more likely to be accepted by formulary committees, increasing the drug's market share, whereas payers may reject or limit use of a new drug that performs less effectively in comparative studies. CER may not directly reduce expenditures for drugs and medical technologies. The results may vary widely from case to case; however, despite often significantly higher prices for new drugs, it is important to look beyond product costs to the overall impact on health care costs, including medical cost offsets that may occur through improved health or decreased morbidity. To truly decrease cost and improve quality, cost-effectiveness will have to be integrated into CER with the objective of prioritizing efficient therapies in the real-world health care system. If the methods and output of CER improve, the resulting cost-effectiveness ratios will also be more useful to the payer. CER should ultimately, therefore, be a useful tool to help patients, providers, and decision makers provide the most effective and most cost-effective interventions.
Gaskill, Peter J.; Calderon, Tina M.; Coley, Jacqueline S.; Berman, Joan W.
2013-01-01
Central nervous system (CNS) complications resulting from HIV infection remain a major public health problem as individuals live longer due to the success of combined antiretroviral therapy (cART). As many as 70% of HIV infected people have HIV associated neurocognitive disorders (HAND). Many HIV infected individuals abuse drugs, such as cocaine, heroin or methamphetamine, that may be important cofactors in the development of HIV CNS disease. Despite different mechanisms of action, all drugs of abuse increase extracellular dopamine in the CNS. The effects of dopamine on HIV neuropathogenesis are not well understood, and drug induced increases in CNS dopamine may be a common mechanism by which different types of drugs of abuse impact the development of HAND. Monocytes and macrophages are central to HIV infection of the CNS and to HAND. While T cells have not been shown to be a major factor in HIV-associated neuropathogenesis, studies indicate that T cells may play a larger role in the development of HAND in HIV infected drug abusers. Drug induced increases in CNS dopamine may dysregulate functions of, or increase HIV infection in, monocytes, macrophages and T cells in the brain. Thus, characterizing the effects of dopamine on these cells is important for understanding the mechanisms that mediate the development of HAND in drug abusers. PMID:23456305
de Almeida, Tânia Santos; Júlio, Ana; Mota, Joana Portugal; Rijo, Patrícia; Reis, Catarina Pinto
2017-06-01
There is a growing need to develop drug-delivery systems that overcome drawbacks such as poor drug solubility/loading/release, systemic side effects and limited stability. Ionic liquids (ILs) offer many advantages and their tailoring represents a valuable tuning tool. Nano-based systems are also prized materials that prevent drug degradation, enhance their transport/distribution and extend their release. Consequently, structures containing ILs and nanoparticles (NPs) have been developed to attain synergistic effects. This overview on the properties of ILs, NPs and of their combined structures, reveals the recent advances in these areas through a review of pertinent literature. The IL-NP structures present enhanced properties and the subsequent performance upgrade proves to be useful in drug delivery, although much is yet to be done.
Chalcone Derivatives: Promising Starting Points for Drug Design.
Gomes, Marcelo N; Muratov, Eugene N; Pereira, Maristela; Peixoto, Josana C; Rosseto, Lucimar P; Cravo, Pedro V L; Andrade, Carolina H; Neves, Bruno J
2017-07-25
Medicinal chemists continue to be fascinated by chalcone derivatives because of their simple chemistry, ease of hydrogen atom manipulation, straightforward synthesis, and a variety of promising biological activities. However, chalcones have still not garnered deserved attention, especially considering their high potential as chemical sources for designing and developing new effective drugs. In this review, we summarize current methodological developments towards the design and synthesis of new chalcone derivatives and state-of-the-art medicinal chemistry strategies (bioisosterism, molecular hybridization, and pro-drug design). We also highlight the applicability of computer-assisted drug design approaches to chalcones and address how this may contribute to optimizing research outputs and lead to more successful and cost-effective drug discovery endeavors. Lastly, we present successful examples of the use of chalcones and suggest possible solutions to existing limitations.
GalenOWL: Ontology-based drug recommendations discovery
2012-01-01
Background Identification of drug-drug and drug-diseases interactions can pose a difficult problem to cope with, as the increasingly large number of available drugs coupled with the ongoing research activities in the pharmaceutical domain, make the task of discovering relevant information difficult. Although international standards, such as the ICD-10 classification and the UNII registration, have been developed in order to enable efficient knowledge sharing, medical staff needs to be constantly updated in order to effectively discover drug interactions before prescription. The use of Semantic Web technologies has been proposed in earlier works, in order to tackle this problem. Results This work presents a semantic-enabled online service, named GalenOWL, capable of offering real time drug-drug and drug-diseases interaction discovery. For enabling this kind of service, medical information and terminology had to be translated to ontological terms and be appropriately coupled with medical knowledge of the field. International standards such as the aforementioned ICD-10 and UNII, provide the backbone of the common representation of medical data, while the medical knowledge of drug interactions is represented by a rule base which makes use of the aforementioned standards. Details of the system architecture are presented while also giving an outline of the difficulties that had to be overcome. A comparison of the developed ontology-based system with a similar system developed using a traditional business logic rule engine is performed, giving insights on the advantages and drawbacks of both implementations. Conclusions The use of Semantic Web technologies has been found to be a good match for developing drug recommendation systems. Ontologies can effectively encapsulate medical knowledge and rule-based reasoning can capture and encode the drug interactions knowledge. PMID:23256945
Han, Seunghoon; Jeon, Sangil; Hong, Taegon; Lee, Jongtae; Bae, Soo Hyeon; Park, Wan-su; Park, Gab-jin; Youn, Sunil; Jang, Doo Yeon; Kim, Kyung-Soo; Yim, Dong-Seok
2015-01-01
No wholly successful weight-control drugs have been developed to date, despite the tremendous demand. We present an exposure–response model of sibutramine mesylate that can be applied during clinical development of other weight-control drugs. Additionally, we provide a model-based evaluation of sibutramine efficacy. Data from a double-blind, randomized, placebo-controlled, multicenter study were used (N=120). Subjects in the treatment arm were initially given 8.37 mg sibutramine base daily, and those who lost <2 kg after 4 weeks’ treatment were escalated to 12.55 mg. The duration of treatment was 24 weeks. Drug concentration and body weight were measured predose and at 4 weeks, 8 weeks, and 24 weeks after treatment initiation. Exposure and response to sibutramine, including the placebo effect, were modeled using NONMEM 7.2. An asymptotic model approaching the final body weight was chosen to describe the time course of weight loss. Extent of weight loss was described successfully using a sigmoidal exposure–response relationship of the drug with a constant placebo effect in each individual. The placebo effect was influenced by subjects’ sex and baseline body mass index. Maximal weight loss was predicted to occur around 1 year after treatment initiation. The difference in mean weight loss between the sibutramine (daily 12.55 mg) and placebo groups was predicted to be 4.5% in a simulation of 1 year of treatment, with considerable overlap of prediction intervals. Our exposure–response model, which included the placebo effect, is the first example of a quantitative model that can be used to predict the efficacy of weight-control drugs. Similar approaches can help decision-making during clinical development of novel weight-loss drugs. PMID:26392753
Han, Seunghoon; Jeon, Sangil; Hong, Taegon; Lee, Jongtae; Bae, Soo Hyeon; Park, Wan-su; Park, Gab-jin; Youn, Sunil; Jang, Doo Yeon; Kim, Kyung-Soo; Yim, Dong-Seok
2015-01-01
No wholly successful weight-control drugs have been developed to date, despite the tremendous demand. We present an exposure-response model of sibutramine mesylate that can be applied during clinical development of other weight-control drugs. Additionally, we provide a model-based evaluation of sibutramine efficacy. Data from a double-blind, randomized, placebo-controlled, multicenter study were used (N=120). Subjects in the treatment arm were initially given 8.37 mg sibutramine base daily, and those who lost <2 kg after 4 weeks' treatment were escalated to 12.55 mg. The duration of treatment was 24 weeks. Drug concentration and body weight were measured predose and at 4 weeks, 8 weeks, and 24 weeks after treatment initiation. Exposure and response to sibutramine, including the placebo effect, were modeled using NONMEM 7.2. An asymptotic model approaching the final body weight was chosen to describe the time course of weight loss. Extent of weight loss was described successfully using a sigmoidal exposure-response relationship of the drug with a constant placebo effect in each individual. The placebo effect was influenced by subjects' sex and baseline body mass index. Maximal weight loss was predicted to occur around 1 year after treatment initiation. The difference in mean weight loss between the sibutramine (daily 12.55 mg) and placebo groups was predicted to be 4.5% in a simulation of 1 year of treatment, with considerable overlap of prediction intervals. Our exposure-response model, which included the placebo effect, is the first example of a quantitative model that can be used to predict the efficacy of weight-control drugs. Similar approaches can help decision-making during clinical development of novel weight-loss drugs.
Update of Ablative Fractionated Lasers to Enhance Cutaneous Topical Drug Delivery.
Waibel, Jill S; Rudnick, Ashley; Shagalov, Deborah R; Nicolazzo, Danielle M
2017-08-01
Ablative fractional lasers (AFXL) enhance uptake of therapeutics and this newly emerging field is called laser-assisted drug delivery (LAD). This new science has emerged over the past decade and is finding its way into clinical practice. LAD is poised to change how medicine delivers drugs. Topical and systemic application of pharmaceutical agents for therapeutic effect is an integral part of medicine. With topical therapy, the stratum corneum barrier of the skin impairs the ability of drugs to enter the body. The purpose of LAD is to alter the stratum corneum, epidermis, and dermis to facilitate increased penetration of a drug, device, or cell to its respected target. AFXL represents an innovative, non-invasive strategy to overcome the epidermal barrier. LAD employs three steps: (1) breakdown of the skin barrier with a laser, (2) optional use a laser for a therapeutic effect, (3) delivery of the medicine through laser channels to further enhance the therapeutic effect. The advantages of using lasers for drug delivery include the ease of accessibility, the non-invasive aspect, and its effectiveness. By changing the laser settings, one may use LAD to have a drug remain locally within the skin or to have systemic delivery. Many drugs are not intended for use in the dermis and so it has yet to be determined which drugs are appropriate for this technique. It appears this developing technology has the ability to be a new delivery system for both localized and systemic delivery of drugs, cells, and other molecules. With responsible development AFXL-assisted drug delivery may become a new important part of medicine.
Perez-Lopez, Áron R; Szalay, Kristóf Z; Türei, Dénes; Módos, Dezső; Lenti, Katalin; Korcsmáros, Tamás; Csermely, Peter
2015-05-11
Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have side effects, as compared to those which have no reported side effects. Our results showed that in general, drug targets were better spreaders of perturbations than non-target proteins, and in particular, targets of drugs with side effects were also better spreaders of perturbations than targets of drugs having no reported side effects in human protein-protein interaction networks. Colorectal cancer-related proteins were good spreaders and had a high centrality, while type 2 diabetes-related proteins showed an average spreading efficiency and had an average centrality in the human interactome. Moreover, the interactome-distance between drug targets and disease-related proteins was higher in diabetes than in colorectal cancer. Our results may help a better understanding of the network position and dynamics of drug targets and disease-related proteins, and may contribute to develop additional, network-based tests to increase the potential safety of drug candidates.
NASA Astrophysics Data System (ADS)
Perez-Lopez, Áron R.; Szalay, Kristóf Z.; Türei, Dénes; Módos, Dezső; Lenti, Katalin; Korcsmáros, Tamás; Csermely, Peter
2015-05-01
Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have side effects, as compared to those which have no reported side effects. Our results showed that in general, drug targets were better spreaders of perturbations than non-target proteins, and in particular, targets of drugs with side effects were also better spreaders of perturbations than targets of drugs having no reported side effects in human protein-protein interaction networks. Colorectal cancer-related proteins were good spreaders and had a high centrality, while type 2 diabetes-related proteins showed an average spreading efficiency and had an average centrality in the human interactome. Moreover, the interactome-distance between drug targets and disease-related proteins was higher in diabetes than in colorectal cancer. Our results may help a better understanding of the network position and dynamics of drug targets and disease-related proteins, and may contribute to develop additional, network-based tests to increase the potential safety of drug candidates.
Perez-Lopez, Áron R.; Szalay, Kristóf Z.; Türei, Dénes; Módos, Dezső; Lenti, Katalin; Korcsmáros, Tamás; Csermely, Peter
2015-01-01
Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have side effects, as compared to those which have no reported side effects. Our results showed that in general, drug targets were better spreaders of perturbations than non-target proteins, and in particular, targets of drugs with side effects were also better spreaders of perturbations than targets of drugs having no reported side effects in human protein-protein interaction networks. Colorectal cancer-related proteins were good spreaders and had a high centrality, while type 2 diabetes-related proteins showed an average spreading efficiency and had an average centrality in the human interactome. Moreover, the interactome-distance between drug targets and disease-related proteins was higher in diabetes than in colorectal cancer. Our results may help a better understanding of the network position and dynamics of drug targets and disease-related proteins, and may contribute to develop additional, network-based tests to increase the potential safety of drug candidates. PMID:25960144
Anti-epileptic drugs in pediatric traumatic brain injury.
Tanaka, Tomoko; Litofsky, N Scott
2016-10-01
Pediatric post-traumatic epilepsy incidence varies depending on reporting mechanism and injury severity; anti-epileptic drug (AEDs) use also varies with lack of quality evidence-based data. Adverse AED effects are not negligible; some may negatively affect functional outcome. This review focuses on clarifying available data. This review discusses seizures associated with traumatic brain injury in children, including seizure incidence, relationship to severity of injury, potential detrimental effects of seizures, potential benefits of AED, adverse effects of AED, new developments in preventing epileptogenesis, and suggested recommendations for patient management. English language papers were identified from PubMed using search terms including but not excluding the following: adverse drug effects, anti-epileptic drugs, children, electroencephalogram, epilepsy, epileptogenesis, head injury, levetiracetam, pediatrics, phenytoin, post-traumatic epilepsy, prevention, prophylaxis, seizures, and traumatic brain injury. Expert commentary: Identification of high-risk patients for post-traumatic seizures is a key goal. Levetiracetam may prevent epileptogenesis, as may other developments.
Kopp, S W; Bang, H K
2000-01-01
As pharmaceutical companies began to advertise prescription drugs directly to consumers as well as to physicians, understanding the impact of benefit and risk information in drug advertising on physicians and consumers has become more critical. This paper reviews previous empirical studies that examined the content of benefit and risk information in drug advertising and its potential effects on physicians' subsequent prescribing behaviors. It also reviews studies that investigated how consumers process information on a drug's efficacy and side effects. Based on the findings of these studies, implications are discussed for effective marketing information development as well as for government regulation.
Parenting skills and family support programs for drug-abusing mothers.
Kumpfer, Karol L; Fowler, Melissa A
2007-04-01
Children born to drug-using mothers can suffer from fetal alcohol or drug syndrome (FAS/FDS) or fetal alcohol or drug effect (FAE/FDE). Such children have a greater likelihood of developing acute or chronic physical, cognitive and behavioral problems. In-utero exposure to tobacco, alcohol or drugs impact on the developing fetus and, after birth, the family environment and family system exert effects on the infants and children of substance-abusing parents. Evidence-based prevention and maternal drug treatment programs focus on enhancing parental childcaring abilities, supporting parent-child attachment and encouraging family support systems to improve children's health and cognitive outcomes. FAS/FDS prevention programs, as well as selective and indicated prenatal and postnatal interventions, can improve the support given both to mother and to child, and evidence-based, in-home parenting and family-skills-training approaches are particularly useful.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wang, Kejian, E-mail: kejian.wang.bio@gmail.com; Weng, Zuquan; Sun, Liya
Adverse drug reaction (ADR) is of great importance to both regulatory agencies and the pharmaceutical industry. Various techniques, such as quantitative structure–activity relationship (QSAR) and animal toxicology, are widely used to identify potential risks during the preclinical stage of drug development. Despite these efforts, drugs with safety liabilities can still pass through safety checkpoints and enter the market. This situation raises the concern that conventional chemical structure analysis and phenotypic screening are not sufficient to avoid all clinical adverse events. Genomic expression data following in vitro drug treatments characterize drug actions and thus have become widely used in drug repositioning. Inmore » the present study, we explored prediction of ADRs based on the drug-induced gene-expression profiles from cultured human cells in the Connectivity Map (CMap) database. The results showed that drugs inducing comparable ADRs generally lead to similar CMap expression profiles. Based on such ADR-gene expression association, we established prediction models for various ADRs, including severe myocardial and infectious events. Drugs with FDA boxed warnings of safety liability were effectively identified. We therefore suggest that drug-induced gene expression change, in combination with effective computational methods, may provide a new dimension of information to facilitate systematic drug safety evaluation. - Highlights: • Drugs causing common toxicity lead to similar in vitro gene expression changes. • We built a model to predict drug toxicity with drug-specific expression profiles. • Drugs with FDA black box warnings were effectively identified by our model. • In vitro assay can detect severe toxicity in the early stage of drug development.« less
An appraisal of drug development timelines in the Era of precision oncology
Jardim, Denis Leonardo; Schwaederle, Maria; Hong, David S.; Kurzrock, Razelle
2016-01-01
The effects of incorporating a biomarker-based (personalized or precision) selection strategy on drug development timelines for new oncology drugs merit investigation. Here we accessed documents from the Food and Drug Administration (FDA) database for anticancer agents approved between 09/1998 and 07/2014 to compare drugs developed with and without a personalized strategy. Sixty-three drugs were included (28 [44%] personalized and 35 [56%] non-personalized). No differences in access to FDA-expedited programs were observed between personalized and non-personalized drugs. A personalized approach for drug development was associated with faster clinical development (Investigational New Drug [IND] to New Drug Application [NDA] submission; median = 58.8 months [95% CI 53.8–81.8] vs. 93.5 months [95% CI 73.9–112.9], P =.001), but a similar approval time (NDA submission to approval; median=6.0 months [95% CI 5.5–8.4] vs. 6.1 months [95% CI 5.9–8.3], P = .756) compared to a non-personalized strategy. In the multivariate model, class of drug stratified by personalized status (targeted personalized vs. targeted non-personalized vs. cytotoxic) was the only independent factor associated with faster total time of clinical drug development (clinical plus approval phase, median = 64.6 vs 87.1 vs. 112.7 months [cytotoxic], P = .038). Response rates (RR) in early trials were positively correlated with RR in registration trials (r = 0.63, P = <.001), and inversely associated with total time of drug development (r = −0.29, P = .049). In conclusion, targeted agents were developed faster than cytotoxic agents. Shorter times to approval were associated, in multivariate analysis, with a biomarker-based clinical development strategy. PMID:27419632
Health economics in drug development: efficient research to inform healthcare funding decisions.
Hall, Peter S; McCabe, Christopher; Brown, Julia M; Cameron, David A
2010-10-01
In order to decide whether a new treatment should be used in patients, a robust estimate of efficacy and toxicity is no longer sufficient. As a result of increasing healthcare costs across the globe healthcare payers and providers now seek estimates of cost-effectiveness as well. Most trials currently being designed still only consider the need for prospective efficacy and toxicity data during the development life-cycle of a new intervention. Hence the cost-effectiveness estimates are inevitably less precise than the clinical data on which they are based. Methods based on decision theory are being developed by health economists that can contribute to the design of clinical trials in such a way that they can more effectively lead to better informed drug funding decisions on the basis of cost-effectiveness in addition to clinical outcomes. There is an opportunity to apply these techniques prospectively in the design of future clinical trials. This article describes the problems encountered by those responsible for drug reimbursement decisions as a consequence of the current drug development pathway. The potential for decision theoretic methods to help overcome these problems is introduced and potential obstacles in implementation are highlighted. Copyright © 2010 Elsevier Ltd. All rights reserved.
The Two Faces of Social Interaction Reward in Animal Models of Drug Dependence
Rawas, Rana El
2016-01-01
Drug dependence is a serious health and social problem. Social factors can modify vulnerability to developing drug dependence, acting as risk factors or protective factors. Whereas stress and peer environment that encourage substance use may increase drug taking, strong attachments between family members and peer environment that do not experience drug use may protect against drug taking and, ultimately, drug dependence. The rewarding effects of drug abuse and social interaction can be evaluated using animal models. In this review we focus on evaluating social interaction reward in the conditioned place preference paradigm. We give an overview of how social interaction, if made available within the drug context, may facilitate, promote and interact with the drug’s effects. However, social interaction, if offered alternatively outside the drug context, may have pronounced protective effects against drug abuse and relapse. We also address the importance of the weight difference parameter between the social partners in determining the positive or “agonistic” versus the hostile or “antagonistic” social interaction. We conclude that understanding social interaction reward and its subsequent effects on drug reward is sorely needed for therapeutic interventions against drug dependence. PMID:26088685
Anchang, Benedict; Davis, Kara L.; Fienberg, Harris G.; Bendall, Sean C.; Karacosta, Loukia G.; Tibshirani, Robert; Nolan, Garry P.; Plevritis, Sylvia K.
2018-01-01
An individual malignant tumor is composed of a heterogeneous collection of single cells with distinct molecular and phenotypic features, a phenomenon termed intratumoral heterogeneity. Intratumoral heterogeneity poses challenges for cancer treatment, motivating the need for combination therapies. Single-cell technologies are now available to guide effective drug combinations by accounting for intratumoral heterogeneity through the analysis of the signaling perturbations of an individual tumor sample screened by a drug panel. In particular, Mass Cytometry Time-of-Flight (CyTOF) is a high-throughput single-cell technology that enables the simultaneous measurements of multiple (>40) intracellular and surface markers at the level of single cells for hundreds of thousands of cells in a sample. We developed a computational framework, entitled Drug Nested Effects Models (DRUG-NEM), to analyze CyTOF single-drug perturbation data for the purpose of individualizing drug combinations. DRUG-NEM optimizes drug combinations by choosing the minimum number of drugs that produce the maximal desired intracellular effects based on nested effects modeling. We demonstrate the performance of DRUG-NEM using single-cell drug perturbation data from tumor cell lines and primary leukemia samples. PMID:29654148
Rosenfeldt, Hans; Kropp, Timothy; Benson, Kimberly; Ricci, M Stacey; McGuinn, W David; Verbois, S Leigh
2010-03-01
The drug development of new anti-cancer agents is streamlined in response to the urgency of bringing effective drugs to market for patients with limited life expectancy. FDA's regulation of oncology drugs has evolved from the practices set forth in Arnold Lehman's seminal work published in the 1950s through the current drafting of a new International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) safety guidance for anti-cancer drug nonclinical evaluations. The ICH combines the efforts of the regulatory authorities of Europe, Japan, and the United States and the pharmaceutical industry from these three regions to streamline the scientific and technical aspects of drug development. The recent development of new oncology drug classes with novel mechanisms of action has improved survival rates for some cancers but also brings new challenges for safety evaluation. Here we present the legacy of Lehman and colleagues in the context of past and present oncology drug development practices and focus on some of the current issues at the center of an evolving harmonization process that will generate a new safety guidance for oncology drugs, ICH S9. The purpose of this new guidance will be to facilitate oncology drug development on a global scale by standardizing regional safety requirements.
NASA Astrophysics Data System (ADS)
Ishikawa, Toshihisa; Tamura, Ai; Saito, Hikaru; Wakabayashi, Kanako; Nakagawa, Hiroshi
2005-10-01
In the post-genome-sequencing era, emerging genomic technologies are shifting the paradigm for drug discovery and development. Nevertheless, drug discovery and development still remain high-risk and high-stakes ventures with long and costly timelines. Indeed, the attrition of drug candidates in preclinical and development stages is a major problem in drug design. For at least 30% of the candidates, this attrition is due to poor pharmacokinetics and toxicity. Thus, pharmaceutical companies have begun to seriously re-evaluate their current strategies of drug discovery and development. In that light, we propose that a transport mechanism-based design might help to create new, pharmacokinetically advantageous drugs, and as such should be considered an important component of drug design strategy. Performing enzyme- and/or cell-based drug transporter, interaction tests may greatly facilitate drug development and allow the prediction of drug-drug interactions. We recently developed methods for high-speed functional screening and quantitative structure-activity relationship analysis to study the substrate specificity of ABC transporters and to evaluate the effect of genetic polymorphisms on their function. These methods would provide a practical tool to screen synthetic and natural compounds, and these data can be applied to the molecular design of new drugs. In this review article, we present an overview on the genetic polymorphisms of human ABC transporter ABCG2 and new camptothecin analogues that can circumvent AGCG2-associated multidrug resistance of cancer.
Cost-effectiveness and Pricing of Antibacterial Drugs
Verhoef, Talitha I; Morris, Stephen
2015-01-01
Growing resistance to antibacterial agents has increased the need for the development of new drugs to treat bacterial infections. Given increasing pressure on limited health budgets, it is important to study the cost-effectiveness of these drugs, as well as their safety and efficacy, to find out whether or not they provide value for money and should be reimbursed. In this article, we systematically reviewed 38 cost-effectiveness analyses of new antibacterial agents. Most studies showed the new antibacterial drugs were cost-effective compared to older generation drugs. Drug pricing is a complicated process, involving different stakeholders, and has a large influence on cost-effectiveness. Value-based pricing is a method to determine the price of a drug at which it can be cost-effective. It is currently unclear what the influence of value-based pricing will be on the prices of new antibacterial agents, but an important factor will be the definition of ‘value’, which as well as the impact of the drug on patient health might also include other factors such as wider social impact and the health impact of disease. PMID:25521641
Permeation enhancer strategies in transdermal drug delivery.
Marwah, Harneet; Garg, Tarun; Goyal, Amit K; Rath, Goutam
2016-01-01
Today, ∼74% of drugs are taken orally and are not found to be as effective as desired. To improve such characteristics, transdermal drug delivery was brought to existence. This delivery system is capable of transporting the drug or macromolecules painlessly through skin into the blood circulation at fixed rate. Topical administration of therapeutic agents offers many advantages over conventional oral and invasive techniques of drug delivery. Several important advantages of transdermal drug delivery are prevention from hepatic first pass metabolism, enhancement of therapeutic efficiency and maintenance of steady plasma level of the drug. Human skin surface, as a site of drug application for both local and systemic effects, is the most eligible candidate available. New controlled transdermal drug delivery systems (TDDS) technologies (electrically-based, structure-based and velocity-based) have been developed and commercialized for the transdermal delivery of troublesome drugs. This review article covers most of the new active transport technologies involved in enhancing the transdermal permeation via effective drug delivery system.
Ontological approach for safe and effective polypharmacy prescription
Grando, Adela; Farrish, Susan; Boyd, Cynthia; Boxwala, Aziz
2012-01-01
The intake of multiple medications in patients with various medical conditions challenges the delivery of medical care. Initial empirical studies and pilot implementations seem to indicate that generic safe and effective multi-drug prescription principles could be defined and reused to reduce adverse drug events and to support compliance with medical guidelines and drug formularies. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we explore here their use in the context of multi-drug prescription. We propose an ontology for modeling drug-related knowledge and a repository of safe and effective generic prescription principles. To test the usability and the level of granularity of the developed ontology-based specification models and heuristic we implemented a tool that computes the complexity of multi-drug treatments, and a decision aid to check the safeness and effectiveness of prescribed multi-drug treatments. PMID:23304299
Is PDE4 too difficult a drug target?
Higgs, Gerry
2010-05-01
The search for selective inhibitors of PDE4 as novel anti-inflammatory drugs has continued for more than 30 years. Although several compounds have demonstrated therapeutic effects in diseases such as asthma, COPD, atopic dermatitis and psoriasis, none have reached the market. A persistent challenge in the development of PDE4 inhibitors has been drug-induced gastrointestinal adverse effects, such as nausea. However, extensive clinical trials with well-tolerated doses of roflumilast (Daxas; Nycomed/Mitsubishi Tanabe Pharma Corp/Forest Laboratories Inc) in COPD, a disease that is generally unresponsive to existing therapies, have demonstrated significant therapeutic improvements. In addition, GlaxoSmithKline plc is developing 256066, an inhaled formulation of a PDE4 inhibitor that has demonstrated efficacy in trials in asthma, and apremilast from Celgene Corp has been reported to be effective for the treatment of psoriasis. Despite the challenges and complications that have been encountered during the development of PDE4 inhibitors, these drugs may provide a genuinely novel class of anti-inflammatory agents, and there are several compounds in development that could fulfill that promise.
Veiby, Gyri; Engelsen, Bernt A; Gilhus, Nils Erik
2013-11-01
Exposure to antiepileptic drugs during pregnancy is associated with adverse effects on psychomotor development. To determine whether signs of impaired development appear already during the first months of life in children exposed prenatally to antiepileptic drugs, and to explore potential adverse effects of antiepileptic drug exposure through breastfeeding. Mothers at 13 to 17 weeks of pregnancy were recruited in the population-based, prospective Norwegian Mother and Child Cohort Study from 1999 to 2009. The mothers reported on their child's motor and social skills, language, and behavior using items from standardized screening tools at 6 months (n = 78,744), 18 months (n = 61,351), and 36 months (n = 44,147) of age. The mothers also provided detailed information on breastfeeding during the first year. MAIN OUTCOMES AND MEASURES The risk of adverse development in children according to maternal or paternal epilepsy was estimated as the odds ratio with corresponding 95% confidence interval, adjusted for maternal age, parity, education, smoking, breastfeeding, depression/anxiety, folate supplementation, and congenital malformation in the child. At age 6 months, infants of mothers using antiepileptic drugs (n = 223) had a higher risk of impaired fine motor skills compared with the reference group (11.5% vs 4.8%, respectively; odds ratio = 2.1; 95% CI, 1.3-3.2). Use of multiple antiepileptic drugs compared with the reference group was associated with adverse outcome for both fine motor skills (25.0% vs 4.8%, respectively; odds ratio = 4.3; 95% CI, 2.0-9.1) and social skills (22.5% vs 10.2%, respectively; odds ratio = 2.6; 95% CI, 1.2-5.5). Continuous breastfeeding in children of women using antiepileptic drugs was associated with less impaired development at ages 6 and 18 months compared with those with no breastfeeding or breastfeeding for less than 6 months. At 36 months, prenatal antiepileptic drug exposure was associated with adverse development regardless of breastfeeding status during the first year. Children of women with epilepsy who did not use antiepileptic drugs and children of fathers with epilepsy had normal development at 6 months. Prenatal exposure to antiepileptic drugs was associated with impaired fine motor skills already at age 6 months, especially when the child was exposed to multiple drugs. There were no harmful effects of breastfeeding. Women with epilepsy should be encouraged to breastfeed their children irrespective of antiepileptic drug treatment.
Sleire, Linda; Førde, Hilde Elise; Netland, Inger Anne; Leiss, Lina; Skeie, Bente Sandvei; Enger, Per Øyvind
2017-10-01
Cancer is a major health issue worldwide, and the global burden of cancer is expected to increase in the coming years. Whereas the limited success with current therapies has driven huge investments into drug development, the average number of FDA approvals per year has declined since the 1990s. This unmet need for more effective anti-cancer drugs has sparked a growing interest for drug repurposing, i.e. using drugs already approved for other indications to treat cancer. As such, data both from pre-clinical experiments, clinical trials and observational studies have demonstrated anti-tumor efficacy for compounds within a wide range of drug classes other than cancer. Whereas some of them induce cancer cell death or suppress various aspects of cancer cell behavior in established tumors, others may prevent cancer development. Here, we provide an overview of promising candidates for drug repurposing in cancer, as well as studies describing the biological mechanisms underlying their anti-neoplastic effects. Copyright © 2017 Elsevier Ltd. All rights reserved.
Approaches for the Development of Drugs for Treatment of Obesity and Metabolic Syndrome.
Maksimov, Maksim L; Svistunov, Andrey A; Tarasov, Vadim V; Chubarev, Vladimir N; Ávila-Rodriguez, Marco; Barreto, George E; Dralova, Olga V; Aliev, Gjumrakch
2016-01-01
Obesity and metabolic syndrome (MS) are risk factors for diabetes, cancer, some cardiovascular and musculoskeletal diseases. Pharmacotherapy should be used when the body mass index (BMI) exceeds 30 kg/m² or 27 kg/m² with comorbidity. Efficacy and safety of pharmacotherapy depend on the mechanism of action of drugs. In this context, drugs affecting the central and peripheral mediator systems such as cannabinoid receptor antagonists (Rimonabant), neuronal reuptake inhibitor of NE and 5 HT (Sibutramine), neuronal reuptake inhibitor of NE 5-HT DA (Tesofensine), agonist of 5 HT 2C receptors (Lorcaserin) have a high risk of side effects on the central nervous and cardiovascular systems when used for a long period. Apparently, the drugs design targeting obesity should screen safer drugs that affect fat absorption (Orlistat), activate energy metabolism (Adipokines), inhibit MetAP2 (Beloranib) and other peripheral metabolic processes. The use of synergies of anti-obesity drugs with different mechanisms of action is an effective approach for developing new combined pharmaceutical compositions (Contrave®, EmpaticTM, Qsymia et al). The purpose of this article is to review the currently available anti-obesity drugs and some new promising trends in development of anti-obesity therapy.
Food effects in paediatric medicines development for products Co-administered with food.
Batchelor, Hannah; Kaukonen, Ann Marie; Klein, Sandra; Davit, Barbara; Ju, Rob; Ternik, Robert; Heimbach, Tycho; Lin, Wen; Wang, Jian; Storey, David
2018-02-05
A small amount of food is commonly used to aid administration of medicines to children to improve palatability and/or swallowability. However the impact of this co-administered food on the absorption and subsequent pharmacokinetic profile of the drug is unknown. Existing information on food effects is limited to standard protocols used to evaluate the impact of a high fat meal in an adult population using the adult medication. In the absence of a substantial body of data, there are no specific guidelines available during development of paediatric products relating to low volumes of potentially low calorie food. This paper brings together expertise to consider how the impact of co-administered food can be risk assessed during the development of a paediatric medicine. Two case studies were used to facilitate discussions and seek out commonalities in risk assessing paediatric products; these case studies used model drugs that differed in their solubility, a poorly soluble drug that demonstrated a positive food effect in adults and a highly soluble drug where a negative food effect was observed. For poorly soluble drugs risk assessments are centred upon understanding the impact of food on the in vivo solubility of the drug which requires knowledge of the composition of the food and the volumes present within the paediatric gastrointestinal tract. Further work is required to develop age appropriate in vitro and in silico models that are representative of paediatric populations. For soluble drugs it is more important to understand the mechanisms that may lead to a food effect, this may include interactions with transporters or the impact of the food composition on gastro-intestinal transit or even altered gastric motility. In silico models have the most promise for highly soluble drug products although it is essential that these models reflect the relevant mechanisms involved in potential food effects. The development of appropriate in vitro and in silico tools is limited by the lack of available clinical data that is critical to validate any tool. Further work is required to identify globally acceptable and available vehicles that should be the first option for co-administration with medicines to enable rapid and relevant risk assessment. Copyright © 2017 Elsevier B.V. All rights reserved.
Hur, Junguk; Özgür, Arzucan; He, Yongqun
2018-06-07
Adverse drug reactions (ADRs), also called as drug adverse events (AEs), are reported in the FDA drug labels; however, it is a big challenge to properly retrieve and analyze the ADRs and their potential relationships from textual data. Previously, we identified and ontologically modeled over 240 drugs that can induce peripheral neuropathy through mining public drug-related databases and drug labels. However, the ADR mechanisms of these drugs are still unclear. In this study, we aimed to develop an ontology-based literature mining system to identify ADRs from drug labels and to elucidate potential mechanisms of the neuropathy-inducing drugs (NIDs). We developed and applied an ontology-based SciMiner literature mining strategy to mine ADRs from the drug labels provided in the Text Analysis Conference (TAC) 2017, which included drug labels for 53 neuropathy-inducing drugs (NIDs). We identified an average of 243 ADRs per NID and constructed an ADR-ADR network, which consists of 29 ADR nodes and 149 edges, including only those ADR-ADR pairs found in at least 50% of NIDs. Comparison to the ADR-ADR network of non-NIDs revealed that the ADRs such as pruritus, pyrexia, thrombocytopenia, nervousness, asthenia, acute lymphocytic leukaemia were highly enriched in the NID network. Our ChEBI-based ontology analysis identified three benzimidazole NIDs (i.e., lansoprazole, omeprazole, and pantoprazole), which were associated with 43 ADRs. Based on ontology-based drug class effect definition, the benzimidazole drug group has a drug class effect on all of these 43 ADRs. Many of these 43 ADRs also exist in the enriched NID ADR network. Our Ontology of Adverse Events (OAE) classification further found that these 43 benzimidazole-related ADRs were distributed in many systems, primarily in behavioral and neurological, digestive, skin, and immune systems. Our study demonstrates that ontology-based literature mining and network analysis can efficiently identify and study specific group of drugs and their associated ADRs. Furthermore, our analysis of drug class effects identified 3 benzimidazole drugs sharing 43 ADRs, leading to new hypothesis generation and possible mechanism understanding of drug-induced peripheral neuropathy.
Drugs and human performance fact sheets
DOT National Transportation Integrated Search
2004-03-01
A panel of international experts on drug-impaired driving met in Seattle during August 2000 to review developments in the field of drugs and human performance over the last 10 years; to identify the specific effects that both illicit and prescription...
Drugs and human performance fact sheets.
DOT National Transportation Integrated Search
2014-04-01
A panel of international experts on drug-impaired driving met in Seattle during August 2000 to review developments in the field of drugs and human performance over the last 10 years; to identify the specific effects that both illicit and prescription...
Sanjeewa, K K Asanka; Lee, Jung-Suck; Kim, Won-Suck; Jeon, You-Jin
2017-12-01
In recent decades, attention to cancer-preventive treatments and studies on the development of anticancer drugs have sharply increased owing to the increase in cancer-related death rates in every region of the world. However, due to the adverse effects of synthetic drugs, much attention has been given to the development of anticancer drugs from natural sources because of fewer side effects of natural compounds than those of synthetic drugs. Recent studies on compounds and crude extracts from marine algae have shown promising anticancer properties. Among those compounds, polysaccharides extracted from brown seaweeds play a principal role as anticancer agents. Especially, a number of studies have revealed that polysaccharides isolated from brown seaweeds, such as fucoidan and laminaran, have promising effects against different cancer cell types in vitro and in vivo. Herein, we reviewed in vitro and in vivo anticancer properties reported for fucoidan and laminaran toward various cancer cells from 2013 to 2016. Copyright © 2017 Elsevier Ltd. All rights reserved.
[Categories and characteristics of BPH drug evaluation models: a comparative study].
Huang, Dong-Yan; Wu, Jian-Hui; Sun, Zu-Yue
2014-02-01
Benign prostatic hyperplasia (BPH) is a worldwide common disease in men over 50 years old, and the exact cause of BPH remains largely unknown. In order to elucidate its pathogenesis and screen effective drugs for the treatment of BPH, many BPH models have been developed at home and abroad. This article presents a comprehensive analysis of the categories and characteristics of BPH drug evaluation models, highlighting the application value of each model, to provide a theoretical basis for the development of BPH drugs.
Buyukozturk, Fulden; Di Maio, Selena; Budil, David E.; Carrier, Rebecca L.
2014-01-01
Purpose To mechanistically study and model the effect of lipids, either from food or self-emulsifying drug delivery systems (SEDDS), on drug transport in the intestinal lumen. Methods Simultaneous lipid digestion, dissolution/release, and drug partitioning were experimentally studied and modeled for two dosing scenarios: solid drug with a food-associated lipid (soybean oil) and drug solubilized in a model SEDDS (soybean oil and Tween 80 at 1:1 ratio). Rate constants for digestion, permeability of emulsion droplets, and partition coefficients in micellar and oil phases were measured, and used to numerically solve the developed model. Results Strong influence of lipid digestion on drug release from SEDDS and solid drug dissolution into food-associated lipid emulsion were observed and predicted by the developed model. 90 minutes after introduction of SEDDS, there was 9% and 70% drug release in the absence and presence of digestion, respectively. However, overall drug dissolution in the presence of food-associated lipids occurred over a longer period than without digestion. Conclusion A systems-based mechanistic model incorporating simultaneous dynamic processes occurring upon dosing of drug with lipids enabled prediction of aqueous drug concentration profile. This model, once incorporated with a pharmacokinetic model considering processes of drug absorption and drug lymphatic transport in the presence of lipids, could be highly useful for quantitative prediction of impact of lipids on bioavailability of drugs. PMID:24234918
Kurmi, Balak Das; Tekchandani, Pawan; Paliwal, Rishi; Paliwal, Shivani Rai
2017-01-01
Transdermal drug delivery represents an extremely attractive and innovative route across the skin owing to the possibility for achieving systemic effect of drugs. The present scenario demands a special focus on developing safe medicine with minimized toxic adverse effects related to most of the pharmacologically active agents. Transdermal drug delivery would be a focal paradigm which provides patient convenience, first-pass hepatic metabolism avoidance, local targeting and reduction in toxic effect related to various categories of drugs like, analgesics, antiinflammatory, antibiotics, antiviral, anaesthetic, anticancer etc. Even this route has challenges due to highly organized structure of skin which acts as a main barrier to penetration of drug via the skin. Several alternative possible strategies are available which overcome these barriers, including use of penetration enhancer, eletroporation, iontophoresis and various nanotechnologically developed nanocarrier systems. The latest one includes employing liposome, dendrimers, nanoparticles, ethosome, carbon nanotube and many more to avoid associated limitations of conventional formulations. Numerous transdermal products such as Estrasorb, Diractin, VivaGel®, Daytrana®, Aczone, Sileryst® are available in the market having a novel strategy to achieve higher penetration of drugs. This encourages formulation fraternity to develop structurally deformable and stable nanocarriers as an alternative approach for controlled and reliable drug delivery across the skin barrier. In this review, we will discuss nanocarriers mediated approaches that come-up with the solutions to the different challenges towards transdermal drug delivery, its clinical importance and latest insight to research in it. The reports presented in this review confirm the wide application of nanocarriers for transdermal delivery of drug/gene. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Drug repositioning: playing dirty to kill pain.
Bastos, Leandro Francisco Silva; Coelho, Márcio Matos
2014-01-01
The number of approved new molecular entity drugs has been decreasing as the pharmaceutical company investment in research and development is increasing. As we face this painful crisis, called an innovation gap, there is increasing awareness that development of new uses of existing drugs may be a powerful tool to help overcome this obstacle because it takes too long, costs too much and can be risky to release drugs developed de novo. Consequently, drug repositioning is emerging in different therapeutic areas, including the pain research area. Worldwide, pain is the main reason for seeking healthcare, and pain relief represents an unmet global clinical need. Therefore, development of analgesics with better efficacy, safety and cost effectiveness is of paramount importance. Despite the remarkable advancement in research on cellular and molecular mechanisms underlying pain pathophysiology over the past three decades, target-based therapeutic opportunities have not been pursued to the same extent. Phenotypic screening remains a more powerful tool for drug development than target-based screening so far. It sounds somewhat heretical, but some multi-action drugs, rather than very selective ones, have been developed intentionally. In the present review, we first critically discuss the utility of drug repositioning for analgesic drug development and then show examples of 'old' drugs that have been successfully repositioned or that are under investigation for their analgesic actions. We conclude that drug repositioning should be more strongly encouraged to help build a bridge between basic research and pain relief worldwide.
Zhou, Shu; Li, Guo-Bo; Huang, Lu-Yi; Xie, Huan-Zhang; Zhao, Ying-Lan; Chen, Yu-Zong; Li, Lin-Li; Yang, Sheng-Yong
2014-08-01
Drug-induced ototoxicity, as a toxic side effect, is an important issue needed to be considered in drug discovery. Nevertheless, current experimental methods used to evaluate drug-induced ototoxicity are often time-consuming and expensive, indicating that they are not suitable for a large-scale evaluation of drug-induced ototoxicity in the early stage of drug discovery. We thus, in this investigation, established an effective computational prediction model of drug-induced ototoxicity using an optimal support vector machine (SVM) method, GA-CG-SVM. Three GA-CG-SVM models were developed based on three training sets containing agents bearing different risk levels of drug-induced ototoxicity. For comparison, models based on naïve Bayesian (NB) and recursive partitioning (RP) methods were also used on the same training sets. Among all the prediction models, the GA-CG-SVM model II showed the best performance, which offered prediction accuracies of 85.33% and 83.05% for two independent test sets, respectively. Overall, the good performance of the GA-CG-SVM model II indicates that it could be used for the prediction of drug-induced ototoxicity in the early stage of drug discovery. Copyright © 2014 Elsevier Ltd. All rights reserved.
Cost-effectiveness and pricing of antibacterial drugs.
Verhoef, Talitha I; Morris, Stephen
2015-01-01
Growing resistance to antibacterial agents has increased the need for the development of new drugs to treat bacterial infections. Given increasing pressure on limited health budgets, it is important to study the cost-effectiveness of these drugs, as well as their safety and efficacy, to find out whether or not they provide value for money and should be reimbursed. In this article, we systematically reviewed 38 cost-effectiveness analyses of new antibacterial agents. Most studies showed the new antibacterial drugs were cost-effective compared to older generation drugs. Drug pricing is a complicated process, involving different stakeholders, and has a large influence on cost-effectiveness. Value-based pricing is a method to determine the price of a drug at which it can be cost-effective. It is currently unclear what the influence of value-based pricing will be on the prices of new antibacterial agents, but an important factor will be the definition of 'value', which as well as the impact of the drug on patient health might also include other factors such as wider social impact and the health impact of disease. © 2015 The Authors. Chemical Biology & Drug Design Published by John Wiley & Sons Ltd.
Heat effects on drug delivery across human skin
Hao, Jinsong; Ghosh, Priyanka; Li, S. Kevin; Newman, Bryan; Kasting, Gerald B.; Raney, Sam G.
2016-01-01
Introduction Exposure to heat can impact the clinical efficacy and/or safety of transdermal and topical drug products. Understanding these heat effects and designing meaningful in vitro and in vivo methods to study them are of significant value to the development and evaluation of drug products dosed to the skin. Areas covered This review provides an overview of the underlying mechanisms and the observed effects of heat on the skin and on transdermal/topical drug delivery, thermoregulation and heat tolerability. The designs of several in vitro and in vivo heat effect studies and their results are reviewed. Expert opinion There is substantial evidence that elevated temperature can increase transdermal/topical drug delivery. However, in vitro and in vivo methods reported in the literature to study heat effects of transdermal/topical drug products have utilized inconsistent study conditions, and in vitro models require better characterization. Appropriate study designs and controls remain to be identified, and further research is warranted to evaluate in vitro-in vivo correlations and the ability of in vitro models to predict in vivo effects. The physicochemical and pharmacological properties of the drug(s) and the drug product, as well as dermal clearance and heat gradients may require careful consideration. PMID:26808472
Towards early inclusion of children in tuberculosis drugs trials: a consensus statement.
Nachman, Sharon; Ahmed, Amina; Amanullah, Farhana; Becerra, Mercedes C; Botgros, Radu; Brigden, Grania; Browning, Renee; Gardiner, Elizabeth; Hafner, Richard; Hesseling, Anneke; How, Cleotilde; Jean-Philippe, Patrick; Lessem, Erica; Makhene, Mamodikoe; Mbelle, Nontombi; Marais, Ben; McIlleron, Helen; McNeeley, David F; Mendel, Carl; Murray, Stephen; Navarro, Eileen; Anyalechi, E Gloria; Porcalla, Ariel R; Powell, Clydette; Powell, Mair; Rigaud, Mona; Rouzier, Vanessa; Samson, Pearl; Schaaf, H Simon; Shah, Seema; Starke, Jeff; Swaminathan, Soumya; Wobudeya, Eric; Worrell, Carol
2015-06-01
Children younger than 18 years account for a substantial proportion of patients with tuberculosis worldwide. Available treatments for paediatric drug-susceptible and drug-resistant tuberculosis, albeit generally effective, are hampered by high pill burden, long duration of treatment, coexistent toxic effects, and an overall scarcity of suitable child-friendly formulations. Several new drugs and regimens with promising activity against both drug-susceptible and drug-resistant strains have entered clinical development and are either in various phases of clinical investigation or have received marketing authorisation for adults; however, none have data on their use in children. This consensus statement, generated from an international panel of opinion leaders on childhood tuberculosis and incorporating reviews of published literature from January, 2004, to May, 2014, addressed four key questions: what drugs or regimens should be prioritised for clinical trials in children? Which populations of children are high priorities for study? When can phase 1 or 2 studies be initiated in children? What are the relevant elements of clinical trial design? The consensus panel found that children can be included in studies at the early phases of drug development and should be an integral part of the clinical development plan, rather than studied after regulatory approval in adults is obtained. Copyright © 2015 Elsevier Ltd. All rights reserved.
Verbist, Bie M P; Verheyen, Geert R; Vervoort, Liesbet; Crabbe, Marjolein; Beerens, Dominiek; Bosmans, Cindy; Jaensch, Steffen; Osselaer, Steven; Talloen, Willem; Van den Wyngaert, Ilse; Van Hecke, Geert; Wuyts, Dirk; Van Goethem, Freddy; Göhlmann, Hinrich W H
2015-10-19
During drug discovery and development, the early identification of adverse effects is expected to reduce costly late-stage failures of candidate drugs. As risk/safety assessment takes place rather late during the development process and due to the limited ability of animal models to predict the human situation, modern unbiased high-dimensional biology readouts are sought, such as molecular signatures predictive for in vivo response using high-throughput cell-based assays. In this theoretical proof of concept, we provide findings of an in-depth exploration of a single chemical core structure. Via transcriptional profiling, we identified a subset of close analogues that commonly downregulate multiple tubulin genes across cellular contexts, suggesting possible spindle poison effects. Confirmation via a qualified toxicity assay (in vitro micronucleus test) and the identification of a characteristic aggregate-formation phenotype via exploratory high-content imaging validated the initial findings. SAR analysis triggered the synthesis of a new set of compounds and allowed us to extend the series showing the genotoxic effect. We demonstrate the potential to flag toxicity issues by utilizing data from exploratory experiments that are typically generated for target evaluation purposes during early drug discovery. We share our thoughts on how this approach may be incorporated into drug development strategies.
Comprehensive review on herbal medicine for energy intake suppression.
Yuliana, N D; Jahangir, M; Korthout, H; Choi, Y H; Kim, H K; Verpoorte, R
2011-07-01
The obesity drug development is present not a bright and successful story. So far, drugs reported to be effective, either from synthetic or natural sources, mostly stimulated controversy because of serious adverse effects, which ended with stopping clinical trials or even withdrawal from the market. However, obesity and its comorbidities have become rapidly a major problem in both developed and developing countries. This has encouraged pharmaceutical companies and academia to keep on struggling on developing novel effective but safe obesity drugs, and on characterizing novel obesity drug targets. From existing scientific work on obesity drug discovery and commercial slimming preparations, compounds originating from nature, especially from plants, seem to be the first choice. Traditional belief that herbal medicine is safer than synthetic ones is one of the classical arguments, although scientifically this is not always true (e.g. ban on Ephedra). But in general, it has been widely acknowledged that a plant compound, with its unique scaffolds and rich diversity is an unlimited source of novel lead compounds. This paper aims to summarize all works focused on screening plant materials by targeting important pathways related to energy intake regulation, either by in vivo or in vitro experiments. © 2010 The Authors. obesity reviews © 2010 International Association for the Study of Obesity.
A Zebrafish Heart Failure Model for Assessing Therapeutic Agents.
Zhu, Xiao-Yu; Wu, Si-Qi; Guo, Sheng-Ya; Yang, Hua; Xia, Bo; Li, Ping; Li, Chun-Qi
2018-03-20
Heart failure is a leading cause of death and the development of effective and safe therapeutic agents for heart failure has been proven challenging. In this study, taking advantage of larval zebrafish, we developed a zebrafish heart failure model for drug screening and efficacy assessment. Zebrafish at 2 dpf (days postfertilization) were treated with verapamil at a concentration of 200 μM for 30 min, which were determined as optimum conditions for model development. Tested drugs were administered into zebrafish either by direct soaking or circulation microinjection. After treatment, zebrafish were randomly selected and subjected to either visual observation and image acquisition or record videos under a Zebralab Blood Flow System. The therapeutic effects of drugs on zebrafish heart failure were quantified by calculating the efficiency of heart dilatation, venous congestion, cardiac output, and blood flow dynamics. All 8 human heart failure therapeutic drugs (LCZ696, digoxin, irbesartan, metoprolol, qiliqiangxin capsule, enalapril, shenmai injection, and hydrochlorothiazide) showed significant preventive and therapeutic effects on zebrafish heart failure (p < 0.05, p < 0.01, and p < 0.001) in the zebrafish model. The larval zebrafish heart failure model developed and validated in this study could be used for in vivo heart failure studies and for rapid screening and efficacy assessment of preventive and therapeutic drugs.
Design strategies and applications of circulating cell-mediated drug delivery systems.
Su, Yixue; Xie, Zhiwei; Kim, Gloria B; Dong, Cheng; Yang, Jian
2015-01-01
Drug delivery systems, particularly nanomaterial-based drug delivery systems, possess a tremendous amount of potential to improve diagnostic and therapeutic effects of drugs. Controlled drug delivery targeted to a specific disease is designed to significantly improve the pharmaceutical effects of drugs and reduce their side effects. Unfortunately, only a few targeted drug delivery systems can achieve high targeting efficiency after intravenous injection, even with the development of numerous surface markers and targeting modalities. Thus, alternative drug and nanomedicine targeting approaches are desired. Circulating cells, such as erythrocytes, leukocytes, and stem cells, present innate disease sensing and homing properties. Hence, using living cells as drug delivery carriers has gained increasing interest in recent years. This review highlights the recent advances in the design of cell-mediated drug delivery systems and targeting mechanisms. The approaches of drug encapsulation/conjugation to cell-carriers, cell-mediated targeting mechanisms, and the methods of controlled drug release are elaborated here. Cell-based "live" targeting and delivery could be used to facilitate a more specific, robust, and smart payload distribution for the next-generation drug delivery systems.
Network-Based Approaches in Drug Discovery and Early Development
Harrold, JM; Ramanathan, M; Mager, DE
2015-01-01
Identification of novel targets is a critical first step in the drug discovery and development process. Most diseases such as cancer, metabolic disorders, and neurological disorders are complex, and their pathogenesis involves multiple genetic and environmental factors. Finding a viable drug target–drug combination with high potential for yielding clinical success within the efficacy–toxicity spectrum is extremely challenging. Many examples are now available in which network-based approaches show potential for the identification of novel targets and for the repositioning of established targets. The objective of this article is to highlight network approaches for identifying novel targets with greater chances of gaining approved drugs with maximal efficacy and minimal side effects. Further enhancement of these approaches may emerge from effectively integrating computational systems biology with pharmacodynamic systems analysis. Coupling genomics, proteomics, and metabolomics databases with systems pharmacology modeling may aid in the development of disease-specific networks that can be further used to build confidence in target identification. PMID:24025802
Emerging drugs for the treatment of obesity.
Martinussen, Christoffer; Bojsen-Moller, Kirstine Nyvold; Svane, Maria Saur; Dejgaard, Thomas Fremming; Madsbad, Sten
2017-03-01
The increasing prevalence of obesity represents a huge threat to public health and the current pharmacological treatment options are limited. Bariatric surgery is by far the most effective treatment for severe obesity, highlighting the urgent need for new and improved drug therapies. Areas covered: Based on the physiological regulation of energy homeostasis, pharmacological strategies to treat obesity are evaluated with focus on drugs in phase 2 and 3 clinical development. The potential impact of these drugs on current treatment standards and the barriers for development are discussed and set in a historical perspective of previous antiobesity medications. Expert opinion: The radical effects of bariatric surgery have extended our understanding of the mechanisms controlling appetite and boosted the search for new drug targets in obesity treatment. Accordingly, several compounds targeting the central nervous system and/or periphery are in pipeline for obesity. These drugs should be evaluated over a wide array of end-points; in particular, long-term safety monitoring is necessary as serious adverse events may appear. Combination therapy targeting more than one pathway controlling energy balance might be necessary to achieve substantial weight loss while minimising side effects.
The Development of Countermeasures for Space Radiation Induced Adverse Health Effects
NASA Astrophysics Data System (ADS)
Kennedy, Ann
The Development of Countermeasures for Space Radiation Induced Adverse Health Effects Ann R. Kennedy Department of Radiation Oncology, University of Pennsylvania School of Medicine, 195 John Morgan Building, 3620 Hamilton Walk, Philadelphia, PA, United States 19104-6072 The development of countermeasures for radiation induced adverse health effects is a lengthy process, particularly when the countermeasure/drug has not yet been evaluated in human trials. One example of a drug developed from the bench to the clinic is the soybean-derived Bowman-Birk inhibitor (BBI), which has been developed as a countermeasure for radiation induced cancer. It was originally identified as a compound/drug that could prevent the radiation induced carcinogenic process in an in vitro assay system in 1975. The first observation that BBI could inhibit carcinogenesis in animals was in 1985. BBI received Investigational New Drug (IND) Status with the U.S. Food and Drug Administration (FDA) in 1992 (after several years of negotiation with the FDA about the potential IND status of the drug), and human trials began at that time. Phase I, II and III human trials utilizing BBI have been performed under several INDs with the FDA, and an ongoing Phase III trial will be ending in the very near future. Thus, the drug has been in development for 35 years at this point, and it is still not a prescription drug on the market which is available for human use. A somewhat less time-consuming process is to evaluate compounds that are on the GRAS (Generally Recognized as Safe) list. These compounds would include some over-the-counter medications, such as antioxidant vitamins utilized in human trials at the levels for which Recommended Dietary Allowances (RDAs) have been established. To determine whether GRAS substances are able to have beneficial effects on radiation induced adverse health effects, it is still likely to be a lengthy process involving many years to potentially decades of human trial work. The human trials necessary to demonstrate "efficacy" for a beneficial effect on the long term adverse health effects of radiation, such as the development of cancer, cataracts, etc., is expected to take particularly long periods of time. To avoid the long time delay in the development of new drugs as countermeasures for radiation induced adverse health effects, the NSBRI Center for Acute Radiation Research (CARR) is currently focused on the use of drugs that have already been approved for human use by the FDA. Currently there are no approved countermeasures for external radiation exposure by the US Army or by NASA. The appropriate medications for symptoms of the Acute Radiation Syndrome (ARS) due to exposure to solar particle event (SPE) radiation are unknown, but there are medications appropriate for ARS symptoms caused by exposure to conventional ra-diation. The Armed Forces Radiobiology Research Institute (AFRRI) has medical guidelines for ARS medications (http://www.afrri.usuhs.mil/outreach/guidance.htm#policies), as does the US Dept. of Health and Human Services (the REMM (Radiation Event Medical Manage-ment) site (http://www.remm.nlm.gov). Supportive care when ARS symptoms develop include the administration of antimicrobial agents (which can include systemic antibiotics [especially those directed at gram-negative bacteria]), antiemetic agents, antidiarrheal agents, fluids, elec-trolytes, analgesic agents and topical burn creams (Waselenko, J.K. et al. Ann. Intern. Med. 140: 1037, 2004). For nausea and vomiting, serotonin receptor antagonists (5HT3 receptor antagonists) are very effective prophylaxis. There are two drugs that have been approved by the FDA (Zofran and Kytril) for radiation induced nausea and vomiting. Kytril (granisetron) is preferred by the US Army and is currently maintained in the US National Stockpile. Both of these drugs are known to stop retching and vomiting when given either before or after irradi-ation, even when vomiting and/or retching are occurring. Immune suppression can occur due to declines in white blood cells and infection is a possibility. Of particular importance is the radiation induced decline in neutrophil counts. Methods for controlling infection during the critical neutropenic phase can be used. Investigations of the CARR grant use FDA approved drugs for ARS symptoms in animals exposed to SPE radiations. ACKNOWLEDGEMENTS: The research investigations of the CARR grant are supported by the National Space Biomedical Research Institute (NSBRI) through NASA NCC 9-58.
Godman, Brian; Malmström, Rickard E; Diogene, Eduardo; Jayathissa, Sisira; McTaggart, Stuart; Cars, Thomas; Alvarez-Madrazo, Samantha; Baumgärtel, Christoph; Brzezinska, Anna; Bucsics, Anna; Campbell, Stephen; Eriksson, Irene; Finlayson, Alexander; Fürst, Jurij; Garuoliene, Kristina; Gutiérrez-Ibarluzea, Iñaki; Hviding, Krystyna; Herholz, Harald; Joppi, Roberta; Kalaba, Marija; Laius, Ott; Malinowska, Kamila; Pedersen, Hanne B; Markovic-Pekovic, Vanda; Piessnegger, Jutta; Selke, Gisbert; Sermet, Catherine; Spillane, Susan; Tomek, Dominik; Vončina, Luka; Vlahović-Palčevski, Vera; Wale, Janet; Wladysiuk, Magdalena; van Woerkom, Menno; Zara, Corinne; Gustafsson, Lars L
2014-01-01
There are potential conflicts between authorities and companies to fund new premium priced drugs especially where there are effectiveness, safety and/or budget concerns. Dabigatran, a new oral anticoagulant for the prevention of stroke in patients with non-valvular atrial fibrillation (AF), exemplifies this issue. Whilst new effective treatments are needed, there are issues in the elderly with dabigatran due to variable drug concentrations, no known antidote and dependence on renal elimination. Published studies showed dabigatran to be cost-effective but there are budget concerns given the prevalence of AF. These concerns resulted in extensive activities pre- to post-launch to manage its introduction. To (i) review authority activities across countries, (ii) use the findings to develop new models to better manage the entry of new drugs, and (iii) review the implications based on post-launch activities. (i) Descriptive review and appraisal of activities regarding dabigatran, (ii) development of guidance for key stakeholder groups through an iterative process, (iii) refining guidance following post launch studies. Plethora of activities to manage dabigatran including extensive pre-launch activities, risk sharing arrangements, prescribing restrictions and monitoring of prescribing post launch. Reimbursement has been denied in some countries due to concerns with its budget impact and/or excessive bleeding. Development of a new model and future guidance is proposed to better manage the entry of new drugs, centering on three pillars of pre-, peri-, and post-launch activities. Post-launch activities include increasing use of patient registries to monitor the safety and effectiveness of new drugs in clinical practice. Models for introducing new drugs are essential to optimize their prescribing especially where concerns. Without such models, new drugs may be withdrawn prematurely and/or struggle for funding.
Godman, Brian; Malmström, Rickard E.; Diogene, Eduardo; Jayathissa, Sisira; McTaggart, Stuart; Cars, Thomas; Alvarez-Madrazo, Samantha; Baumgärtel, Christoph; Brzezinska, Anna; Bucsics, Anna; Campbell, Stephen; Eriksson, Irene; Finlayson, Alexander; Fürst, Jurij; Garuoliene, Kristina; Gutiérrez-Ibarluzea, Iñaki; Hviding, Krystyna; Herholz, Harald; Joppi, Roberta; Kalaba, Marija; Laius, Ott; Malinowska, Kamila; Pedersen, Hanne B.; Markovic-Pekovic, Vanda; Piessnegger, Jutta; Selke, Gisbert; Sermet, Catherine; Spillane, Susan; Tomek, Dominik; Vončina, Luka; Vlahović-Palčevski, Vera; Wale, Janet; Wladysiuk, Magdalena; van Woerkom, Menno; Zara, Corinne; Gustafsson, Lars L.
2014-01-01
Background: There are potential conflicts between authorities and companies to fund new premium priced drugs especially where there are effectiveness, safety and/or budget concerns. Dabigatran, a new oral anticoagulant for the prevention of stroke in patients with non-valvular atrial fibrillation (AF), exemplifies this issue. Whilst new effective treatments are needed, there are issues in the elderly with dabigatran due to variable drug concentrations, no known antidote and dependence on renal elimination. Published studies showed dabigatran to be cost-effective but there are budget concerns given the prevalence of AF. These concerns resulted in extensive activities pre- to post-launch to manage its introduction. Objective: To (i) review authority activities across countries, (ii) use the findings to develop new models to better manage the entry of new drugs, and (iii) review the implications based on post-launch activities. Methodology: (i) Descriptive review and appraisal of activities regarding dabigatran, (ii) development of guidance for key stakeholder groups through an iterative process, (iii) refining guidance following post launch studies. Results: Plethora of activities to manage dabigatran including extensive pre-launch activities, risk sharing arrangements, prescribing restrictions and monitoring of prescribing post launch. Reimbursement has been denied in some countries due to concerns with its budget impact and/or excessive bleeding. Development of a new model and future guidance is proposed to better manage the entry of new drugs, centering on three pillars of pre-, peri-, and post-launch activities. Post-launch activities include increasing use of patient registries to monitor the safety and effectiveness of new drugs in clinical practice. Conclusion: Models for introducing new drugs are essential to optimize their prescribing especially where concerns. Without such models, new drugs may be withdrawn prematurely and/or struggle for funding. PMID:24959145
Vadlapudi, Aswani D.; Vadlapatla, Ramya K.; Mitra, Ashim K.
2015-01-01
Herpes simplex virus (HSV) infections can be treated efficiently by the application of antiviral drugs. The herpes family of viruses is responsible for causing a wide variety of diseases in humans. The standard therapy for the management of such infections includes acyclovir (ACV) and penciclovir (PCV) with their respective prodrugs valaciclovir and famciclovir. Though effective, long term prophylaxis with the current drugs leads to development of drug-resistant viral isolates, particularly in immunocompromised patients. Moreover, some drugs are associated with dose-limiting toxicities which limit their further utility. Therefore, there is a need to develop new antiherpetic compounds with different mechanisms of action which will be safe and effective against emerging drug resistant viral isolates. Significant advances have been made towards the design and development of novel antiviral therapeutics during the last decade. As evident by their excellent antiviral activities, pharmaceutical companies are moving forward with several new compounds into various phases of clinical trials. This review provides an overview of structure and life cycle of HSV, progress in the development of new therapies, update on the advances in emerging therapeutics under clinical development and related recent patents for the treatment of Herpes simplex virus infections. PMID:23331181
Drug Exposure and the Risk of Microscopic Colitis: A Critical Update.
Lucendo, Alfredo J
2017-03-01
A variety of luminal antigens, including a wide range of drugs, have been associated with the still little-known pathophysiology of microscopic colitis (MC), with variable evidence suggesting causality. This article aims to review the aspects related to drugs as potential triggers of MC; to discuss the most commonly identified associations between drugs and MC; and to analyze the limitations of the studies currently available. A literature search was performed in PubMed combining the search terms 'drug exposure', 'drug consumption', and 'risk factors' with 'microscopic colitis', 'lymphocytic colitis', and 'collagenous colitis', with no language restrictions. Reference lists of retrieved documents were also reviewed. A handful of case-control studies have demonstrated significant associations between some commonly used drugs and a higher risk of developing MC. No universally accepted criteria for establishing cause-effect relationships in adverse reactions to drugs are available, but several methods that can be applied to MC, can provide degrees of the likelihood of an association. A high probability imputation in the development of MC as a drug adverse effect has only been demonstrated for individual cases by applying chronological (challenge, de-challenge, and relapse with re-challenge) and semiological criteria. Several case-control studies have shown significant associations between exposure to drugs and MC, but the variability in their design, the reference populations used, and the definitions for drug exposure considered require specific analyses. It can be concluded that drug exposure and MC as a likely cause-effect relationship has only been described for a handful of drugs and in individual cases.
Horváth, Viktor József; Tabák, Gy Ádám; Szabó, Gergely; Putz, Zsuzsanna; Koós, Csaba Géza; Lakatos, Péter
2015-03-29
Among their beneficial effects, non-steroidal anti-inflammatory drugs may also exert several side effects which depend on the dosage and the type of these medications. The most frequent gastrointestinal side effects usually develop shortly after the beginning of their administration, but others such as cardiovascular interactions (which are present much less frequently than gastrointestinal side effects) can also occur after the beginning of drug administration without a latency period. For a long-term treatment, non-steroidal anti-inflammatory drugs are most frequently used in the elderly population where patients typically have high cardiovascular risk and take other medicines, e.g. low dose acetylsalicylic acid that can interact with non-steroidal anti-inflammatory drugs; in this aspect diclofenac may cause less side effects. In this review, the authors briefly review cardiovascular side effects of non-steroidal anti-inflammatory drugs, the processes which potentially influence them, therapeutic consequences and their interaction with acetylsalicylic acid.
The role of human drug self-administration procedures in the development of medications
Comer, SD; Ashworth, JB; Foltin, RW; Johanson, CE; Zacny, JP; Walsh, SL
2008-01-01
The purpose of this review is to illustrate the utility and value of employing human self-administration procedures in medication development, including abuse liability assessments of novel medications and evaluation of potential pharmacotherapies for substance use disorders. Traditionally, human abuse liability testing has relied primarily on subjective reports describing drug action by use of questionnaires; similarly, drug interactions between putative treatment agents and the drugs of abuse have relied on these measures. Subjective reports are highly valued because they provide qualitative and quantitative information about the characteristics of central and peripheral pharmacodynamic effects as well as safety and tolerability. However, self-administration procedures directly examine the behavior of interest – that is, drug taking. The present paper 1) reviews the most commonly used human self-administration procedures, 2) discusses the concordance of subjective reports and self-administration within the context of medications development for substance use disorders, focusing primarily on illustrative examples from development efforts with opioid and cocaine dependence, and 3) explores the utility of applying self-administration procedures to assess the abuse liability of novel compounds, including “abuse deterrent” formulations (ADFs). The review will focus on opioid and cocaine dependence because a rich database from both clinical laboratory and clinical trial research exists for these two drug classes. The data reviewed suggest that drug-induced changes in self-administration and subjective effects are not always concordant. Therefore, assessment of self-administration in combination with subjective effects provides a more comprehensive picture that may have improved predictive validity for translating to the clinical setting. PMID:18436394
Rajendran, Kavitha; Anwar, Ayaz; Khan, Naveed Ahmed; Siddiqui, Ruqaiyyah
2017-12-20
The overall aim of this study was to determine whether conjugation with silver nanoparticles enhances effects of available drugs against primary amoebic meningoencephalitis due to Naegleria fowleri. Amphotericin B, Nystatin, and Fluconazole were conjugated with silver nanoparticles, and synthesis was confirmed using UV-visible spectrophotometry. Atomic force microscopy determined their size in range of 20-100 nm. To determine amoebicidal effects, N. fowleri were incubated with drugs-conjugated silver nanoparticles, silver nanoparticles alone, and drugs alone. The findings revealed that silver nanoparticles conjugation significantly enhanced antiamoebic effects of Nystatin and Amphotericin B but not Fluconazole at micromolar concentrations, compared with the drugs alone. For the first time, our findings showed that silver nanoparticle conjugation enhances efficacy of antiamoebic drugs against N. fowleri. Given the rarity of the disease and challenges in developing new drugs, it is hoped that modifying existing drugs to enhance their antiamoebic effects is a useful avenue that holds promise in improving the treatment of brain-eating amoebae infection due to N. fowleri.
The pentamer channel stiffening model for drug action on human rhinovirus HRV-1A
Vaidehi, Nagarajan; Goddard, William A.
1997-01-01
Development of effective drugs against the rhinovirus (HRV) responsible for the common cold remains a challenge because there are over 100 serotypes. This process could be significantly aided by an understanding of the atomistic mechanism by which such drugs work. We suggest that the most effective drugs against HRV-1A act by stiffening the pentamer channel of the viral coat through which the RNA is released, preventing the steps leading to uncoating. Using molecular dynamics methods we tested this Pentamer Channel Stiffening Model (PCSM) by examining the changes in strain energy associated with opening the pentamer channel through which the RNA is released. We find that the PCSM strain correlates well with the effectiveness of the WIN (Sterling–Winthrop) drugs for HRV-1A. To illustrate the use of the PCSM to predict new drugs and to prioritize experimental tests, we tested three modifications of the WIN drugs that are predicted to be nearly as effective (for HRV-1A) as the best current drug. PMID:9122218
Ocular drug delivery systems: An overview
Patel, Ashaben; Cholkar, Kishore; Agrahari, Vibhuti; Mitra, Ashim K
2014-01-01
The major challenge faced by today’s pharmacologist and formulation scientist is ocular drug delivery. Topical eye drop is the most convenient and patient compliant route of drug administration, especially for the treatment of anterior segment diseases. Delivery of drugs to the targeted ocular tissues is restricted by various precorneal, dynamic and static ocular barriers. Also, therapeutic drug levels are not maintained for longer duration in target tissues. In the past two decades, ocular drug delivery research acceleratedly advanced towards developing a novel, safe and patient compliant formulation and drug delivery devices/techniques, which may surpass these barriers and maintain drug levels in tissues. Anterior segment drug delivery advances are witnessed by modulation of conventional topical solutions with permeation and viscosity enhancers. Also, it includes development of conventional topical formulations such as suspensions, emulsions and ointments. Various nanoformulations have also been introduced for anterior segment ocular drug delivery. On the other hand, for posterior ocular delivery, research has been immensely focused towards development of drug releasing devices and nanoformulations for treating chronic vitreoretinal diseases. These novel devices and/or formulations may help to surpass ocular barriers and associated side effects with conventional topical drops. Also, these novel devices and/or formulations are easy to formulate, no/negligibly irritating, possess high precorneal residence time, sustain the drug release, and enhance ocular bioavailability of therapeutics. An update of current research advancement in ocular drug delivery necessitates and helps drug delivery scientists to modulate their think process and develop novel and safe drug delivery strategies. Current review intends to summarize the existing conventional formulations for ocular delivery and their advancements followed by current nanotechnology based formulation developments. Also, recent developments with other ocular drug delivery strategies employing in situ gels, implants, contact lens and microneedles have been discussed. PMID:25590022
Ocular drug delivery systems: An overview.
Patel, Ashaben; Cholkar, Kishore; Agrahari, Vibhuti; Mitra, Ashim K
The major challenge faced by today's pharmacologist and formulation scientist is ocular drug delivery. Topical eye drop is the most convenient and patient compliant route of drug administration, especially for the treatment of anterior segment diseases. Delivery of drugs to the targeted ocular tissues is restricted by various precorneal, dynamic and static ocular barriers. Also, therapeutic drug levels are not maintained for longer duration in target tissues. In the past two decades, ocular drug delivery research acceleratedly advanced towards developing a novel, safe and patient compliant formulation and drug delivery devices/techniques, which may surpass these barriers and maintain drug levels in tissues. Anterior segment drug delivery advances are witnessed by modulation of conventional topical solutions with permeation and viscosity enhancers. Also, it includes development of conventional topical formulations such as suspensions, emulsions and ointments. Various nanoformulations have also been introduced for anterior segment ocular drug delivery. On the other hand, for posterior ocular delivery, research has been immensely focused towards development of drug releasing devices and nanoformulations for treating chronic vitreoretinal diseases. These novel devices and/or formulations may help to surpass ocular barriers and associated side effects with conventional topical drops. Also, these novel devices and/or formulations are easy to formulate, no/negligibly irritating, possess high precorneal residence time, sustain the drug release, and enhance ocular bioavailability of therapeutics. An update of current research advancement in ocular drug delivery necessitates and helps drug delivery scientists to modulate their think process and develop novel and safe drug delivery strategies. Current review intends to summarize the existing conventional formulations for ocular delivery and their advancements followed by current nanotechnology based formulation developments. Also, recent developments with other ocular drug delivery strategies employing in situ gels, implants, contact lens and microneedles have been discussed.
Novel approaches to anticonvulsant drug discovery.
Miziak, Barbara; Chrościńska-Krawczyk, Magdalena; Błaszczyk, Barbara; Radzik, Iwona; Czuczwar, Stanisław J
2013-11-01
The history of epilepsy dates back to 2000 BC. Yet, it was not until 1912 that the activity of the first antiepileptic, phenobarbital was discovered by accident. After this discovery, the next antiepileptic drugs to be discovered (phenytoin and primidone) were based on the phenobarbital's structure. Then, in 1960, carbamazepine was developed empirically, while in 1962, valproate demonstrated anticonvulsant activity against experimental seizures. The next antiepileptic drugs synthesized were either modifications of the existing drugs (such as oxcarbazepine and pregabalin) or completely novel chemical structures (lacosamide, perampanel and retigabine). The present paper briefly refers to the history of epilepsy and development of antiepileptic drugs. Further, the paper provides a discussion on the antiepileptogenic effects of antiepileptic drugs in terms of the constant percentage of epileptic patients with refractory seizures. The authors also review the likely factors involved in the false refractoriness (such as through the use of caffeine-containing beverages and smoking). Finally, the authors consider future directions in the search of novel antiepileptic drugs. In spite of the considerable number of newer antiepileptic drugs, the number of drug-resistant epileptic patients remains unchanged. This may be rather an indication of the suitability of the currently available discovery procedures for effective antiepileptic drugs in the whole population of epileptic patients. The authors, however, believe that it is likely that models of mimic chronic epilepsy will help bridge the gaps and aid in the discovery of novel antiepileptic drugs - ones that can effectively modify the course of the disease.
Discovery and Delivery of Synergistic Chemotherapy Drug Combinations to Tumors
NASA Astrophysics Data System (ADS)
Camacho, Kathryn Militar
Chemotherapy combinations for cancer treatments harbor immense therapeutic potentials which have largely been untapped. Of all diseases, clinical studies of drug combinations are the most prevalent in oncology, yet their effectiveness is disputable, as complete tumor regressions are rare. Our research has been devoted towards developing delivery vehicles for combinations of chemotherapy drugs which elicit significant tumor reduction yet limit toxicity in healthy tissue. Current administration methods assume that chemotherapy combinations at maximum tolerable doses will provide the greatest therapeutic effect -- a presumption which often leads to unprecedented side effects. Contrary to traditional administration, we have found that drug ratios rather than total cumulative doses govern combination therapeutic efficacy. In this thesis, we have developed nanoparticles to incorporate synergistic ratios of chemotherapy combinations which significantly inhibit cancer cell growth at lower doses than would be required for their single drug counterparts. The advantages of multi-drug incorporation in nano-vehicles are many: improved accumulation in tumor tissue via the enhanced permeation and retention effect, limited uptake in healthy tissue, and controlled exposure of tumor tissue to optimal synergistic drug ratios. To exploit these advantages for polychemotherapy delivery, two prominent nanoparticles were investigated: liposomes and polymer-drug conjugates. Liposomes represent the oldest class of nanoparticles, with high drug loading capacities and excellent biocompatibility. Polymer-drug conjugates offer controlled drug incorporations through reaction stoichiometry, and potentially allow for delivery of precise ratios. Here, we show that both vehicles, when armed with synergistic ratios of chemotherapy drugs, significantly inhibit tumor growth in an aggressive mouse breast carcinoma model. Furthermore, versatile drug incorporation methods investigated here can be broadly applied to various agents. Findings from our research can potentially widen the therapeutic window of chemotherapy combinations by emphasizing investigations of optimal drug ratios rather than maximum drug doses and by identifying appropriate nanoparticles for their delivery. Application of these concepts can ultimately help capture the full therapeutic potential of combination regimens.
Application of liposomal technologies for delivery of platinum analogs in oncology
Liu, Demin; He, Chunbai; Wang, Andrew Z; Lin, Wenbin
2013-01-01
Platinum-based chemotherapy, such as cisplatin, oxaliplatin, and carboplatin, is one of the most widely utilized classes of cancer therapeutics. While highly effective, the clinical applications of platinum-based drugs are limited by their toxicity profiles as well as suboptimal pharmacokinetic properties. Therefore, one of the key research areas in oncology has been to develop novel platinum analog drugs and engineer new platinum drug formulations to improve the therapeutic ratio further. Such efforts have led to the development of platinum analogs including nedaplatin, heptaplatin, and lobaplatin. Moreover, reformulating platinum drugs using liposomes has resulted in the development of L-NDPP (Aroplatin™), SPI-77, Lipoplatin™, Lipoxal™, and LiPlaCis®. Liposomes possess several attractive biological activities, including biocompatibility, high drug loading, and improved pharmacokinetics, that are well suited for platinum drug delivery. In this review, we discuss the various platinum drugs and their delivery using liposome-based drug delivery vehicles. We compare and contrast the different liposome platforms as well as speculate on the future of platinum drug delivery research. PMID:24023517
CancerDR: cancer drug resistance database.
Kumar, Rahul; Chaudhary, Kumardeep; Gupta, Sudheer; Singh, Harinder; Kumar, Shailesh; Gautam, Ankur; Kapoor, Pallavi; Raghava, Gajendra P S
2013-01-01
Cancer therapies are limited by the development of drug resistance, and mutations in drug targets is one of the main reasons for developing acquired resistance. The adequate knowledge of these mutations in drug targets would help to design effective personalized therapies. Keeping this in mind, we have developed a database "CancerDR", which provides information of 148 anti-cancer drugs, and their pharmacological profiling across 952 cancer cell lines. CancerDR provides comprehensive information about each drug target that includes; (i) sequence of natural variants, (ii) mutations, (iii) tertiary structure, and (iv) alignment profile of mutants/variants. A number of web-based tools have been integrated in CancerDR. This database will be very useful for identification of genetic alterations in genes encoding drug targets, and in turn the residues responsible for drug resistance. CancerDR allows user to identify promiscuous drug molecules that can kill wide range of cancer cells. CancerDR is freely accessible at http://crdd.osdd.net/raghava/cancerdr/
2014-01-01
Background Drug development for rare diseases is challenging, especially when these orphan drugs (OD) are intended for children. In 2007 the EU Paediatric Drug Regulation was enacted to improve the development of high quality and ethically researched medicines for children through the establishment of Paediatric Investigation Plans (PIPs). The effect of the EU Paediatric Drug Regulation on the marketing authorisation (MA) of drugs for children with rare diseases was studied. Methods Data on all designated orphan drugs, their indication, MA, PIPs and indication group (adult or child) were obtained from the European Medicines Agency (EMA). The outcome and duration of the process from orphan drug designation (ODD) to MA, was compared, per indication, by age group. The effect of the Paediatric Drug Regulation, implemented in 2007, on the application process was assessed with survival analysis. Results Eighty-one orphan drugs obtained MA since 2000 and half are authorised for (a subgroup of) children; another 34 are currently undergoing further investigations in children through agreed PIPs. The Paediatric Drug Regulation did not significantly increase the number of ODDs with potential paediatric indications (58% before vs 64% after 2007 of ODDs, p = 0.1) and did not lead to more MAs for ODs with paediatric indications (60% vs 43%, p = 0.22). ODs authorised after 2007 had a longer time to MA than those authorised before 2007 (Hazard ratio (95% CI) 2.80 (1.84-4.28), p < 0.001); potential paediatric use did not influence the time to MA (Hazard ratio (95% CI) 1.14 (0.77-1.70), p = 0.52). Conclusions The EU Paediatric Drug Regulation had a minor impact on development and availability of ODs for children, was associated with a longer time to MA, but ensured the further paediatric development of drugs still off-label to children. The impact of the Paediatric Drug Regulation on research quantity and quality in children through PIPs is not yet clear. PMID:25091201
Kreeftmeijer-Vegter, Annemarie Rosan; de Boer, Anthonius; van der Vlugt-Meijer, Roselinda H; de Vries, Peter J
2014-08-05
Drug development for rare diseases is challenging, especially when these orphan drugs (OD) are intended for children. In 2007 the EU Paediatric Drug Regulation was enacted to improve the development of high quality and ethically researched medicines for children through the establishment of Paediatric Investigation Plans (PIPs). The effect of the EU Paediatric Drug Regulation on the marketing authorisation (MA) of drugs for children with rare diseases was studied. Data on all designated orphan drugs, their indication, MA, PIPs and indication group (adult or child) were obtained from the European Medicines Agency (EMA). The outcome and duration of the process from orphan drug designation (ODD) to MA, was compared, per indication, by age group. The effect of the Paediatric Drug Regulation, implemented in 2007, on the application process was assessed with survival analysis. Eighty-one orphan drugs obtained MA since 2000 and half are authorised for (a subgroup of) children; another 34 are currently undergoing further investigations in children through agreed PIPs. The Paediatric Drug Regulation did not significantly increase the number of ODDs with potential paediatric indications (58% before vs 64% after 2007 of ODDs, p = 0.1) and did not lead to more MAs for ODs with paediatric indications (60% vs 43%, p = 0.22). ODs authorised after 2007 had a longer time to MA than those authorised before 2007 (Hazard ratio (95% CI) 2.80 (1.84-4.28), p < 0.001); potential paediatric use did not influence the time to MA (Hazard ratio (95% CI) 1.14 (0.77-1.70), p = 0.52). The EU Paediatric Drug Regulation had a minor impact on development and availability of ODs for children, was associated with a longer time to MA, but ensured the further paediatric development of drugs still off-label to children. The impact of the Paediatric Drug Regulation on research quantity and quality in children through PIPs is not yet clear.
Baia, Tainá Costa; Campos, Alessandra; Wanderley, Bruno Mattos Silva; Gama, Renata Antonaci
2016-07-01
This study investigated the potential effects of flunitrazepam (known as "date rape drug") on the developmental cycle of Chrysomya megacephala, an important forensic species, and their possible implications for the calculation of the PMI. A 1050 C. megacephala eggs were divided into five groups with seven replications each. The eggs were placed on artificial diet prepared with four drug concentrations of flunitrazepam (4, 8, 16, and 32 ng/g), besides the control group (prepared with water). Were evaluated the potential effects on development time, weight gain, and mortality during the cycles. The drug had no significant effect on development time or mortality although it did affect the weight of the pupae and adults (Kruskal-Wallis, p < 0.05). The result can be deduced that the determination of the postmortem interval is not affected. © 2016 American Academy of Forensic Sciences.
Schoolchildren and Drugs: The Fancy That Has Not Passed. Kappan Special Report.
ERIC Educational Resources Information Center
Hawley, Richard A.
1987-01-01
Explores the destructive effects of student drug use on students, teachers, and the learning environment of public schools. Discusses healthy child development and the historical background of illegal drug use, and suggests strategies to produce a drug- and alcohol-free school environment with firm, clear institutional policies. (MLH)
Facts on Nicotine and Tobacco. Clearinghouse Fact Sheet.
ERIC Educational Resources Information Center
Slade, John
Nicotine, the most abused drug in the United States, is the psychoactive drug in tobacco. It exerts diverse, often subtle effects on the central nervous system and can stimulate or relax, or do both simultaneously. Tolerance to this drug develops easily and addiction is common among people with other drug problems, especially alcoholism. Most…
Resonant Messages to Prevent Prescription Drug Misuse by Teens
ERIC Educational Resources Information Center
Twombly, Eric C.; Holtz, Kristen D.; Agnew, Christine B.
2011-01-01
Prescription drug misuse is a major health problem, particularly among teens. A key step in curbing misuse is the development of effective prescription drug prevention messages. This paper explores the elements of prescription drug misuse prevention messages that resonate with teens using data from focus groups with seventh and eighth grade…
Developments in Post-marketing Comparative Effectiveness Research
S, Schneeweiss
2010-01-01
Physicians and insurers need to weigh the effectiveness of new drugs against existing therapeutics in routine care to make decisions about treatment and formularies. Because Food and Drug Administration (FDA) approval of most new drugs requires demonstrating efficacy and safety against placebo, there is limited interest by manufacturers in conducting such head-to-head trials. Comparative effectiveness research seeks to provide head-to-head comparisons of treatment outcomes in routine care. Health-care utilization databases record drug use and selected health outcomes for large populations in a timely way and reflect routine care, and therefore may be the preferred data source for comparative effectiveness research. Confounding caused by selective prescribing based on indication, severity, and prognosis threatens the validity of non-randomized database studies that often have limited details on clinical information. Several recent developments may bring the field closer to acceptable validity, including approaches that exploit the concepts of proxy variables using high-dimensional propensity scores, within-patient variation of drug exposure using crossover designs, and between-provider variation in prescribing preference using instrumental variable (IV) analyses. PMID:17554243
Developments in post-marketing comparative effectiveness research.
Schneeweiss, S
2007-08-01
Physicians and insurers need to weigh the effectiveness of new drugs against existing therapeutics in routine care to make decisions about treatment and formularies. Because Food and Drug Administration (FDA) approval of most new drugs requires demonstrating efficacy and safety against placebo, there is limited interest by manufacturers in conducting such head-to-head trials. Comparative effectiveness research seeks to provide head-to-head comparisons of treatment outcomes in routine care. Health-care utilization databases record drug use and selected health outcomes for large populations in a timely way and reflect routine care, and therefore may be the preferred data source for comparative effectiveness research. Confounding caused by selective prescribing based on indication, severity, and prognosis threatens the validity of non-randomized database studies that often have limited details on clinical information. Several recent developments may bring the field closer to acceptable validity, including approaches that exploit the concepts of proxy variables using high-dimensional propensity scores, within-patient variation of drug exposure using crossover designs, and between-provider variation in prescribing preference using instrumental variable (IV) analyses.
Drug Repositioning for Effective Prostate Cancer Treatment.
Turanli, Beste; Grøtli, Morten; Boren, Jan; Nielsen, Jens; Uhlen, Mathias; Arga, Kazim Y; Mardinoglu, Adil
2018-01-01
Drug repositioning has gained attention from both academia and pharmaceutical companies as an auxiliary process to conventional drug discovery. Chemotherapeutic agents have notorious adverse effects that drastically reduce the life quality of cancer patients so drug repositioning is a promising strategy to identify non-cancer drugs which have anti-cancer activity as well as tolerable adverse effects for human health. There are various strategies for discovery and validation of repurposed drugs. In this review, 25 repurposed drug candidates are presented as result of different strategies, 15 of which are already under clinical investigation for treatment of prostate cancer (PCa). To date, zoledronic acid is the only repurposed, clinically used, and approved non-cancer drug for PCa. Anti-cancer activities of existing drugs presented in this review cover diverse and also known mechanisms such as inhibition of mTOR and VEGFR2 signaling, inhibition of PI3K/Akt signaling, COX and selective COX-2 inhibition, NF-κB inhibition, Wnt/β-Catenin pathway inhibition, DNMT1 inhibition, and GSK-3β inhibition. In addition to monotherapy option, combination therapy with current anti-cancer drugs may also increase drug efficacy and reduce adverse effects. Thus, drug repositioning may become a key approach for drug discovery in terms of time- and cost-efficiency comparing to conventional drug discovery and development process.
Classification of stimuli-responsive polymers as anticancer drug delivery systems.
Taghizadeh, Bita; Taranejoo, Shahrouz; Monemian, Seyed Ali; Salehi Moghaddam, Zoha; Daliri, Karim; Derakhshankhah, Hossein; Derakhshani, Zaynab
2015-02-01
Although several anticancer drugs have been introduced as chemotherapeutic agents, the effective treatment of cancer remains a challenge. Major limitations in the application of anticancer drugs include their nonspecificity, wide biodistribution, short half-life, low concentration in tumor tissue and systemic toxicity. Drug delivery to the tumor site has become feasible in recent years, and recent advances in the development of new drug delivery systems for controlled drug release in tumor tissues with reduced side effects show great promise. In this field, the use of biodegradable polymers as drug carriers has attracted the most attention. However, drug release is still difficult to control even when a polymeric drug carrier is used. The design of pharmaceutical polymers that respond to external stimuli (known as stimuli-responsive polymers) such as temperature, pH, electric or magnetic field, enzymes, ultrasound waves, etc. appears to be a successful approach. In these systems, drug release is triggered by different stimuli. The purpose of this review is to summarize different types of polymeric drug carriers and stimuli, in addition to the combination use of stimuli in order to achieve a better controlled drug release, and it discusses their potential strengths and applications. A survey of the recent literature on various stimuli-responsive drug delivery systems is also provided and perspectives on possible future developments in controlled drug release at tumor site have been discussed.
The Frederick National Lab has begun to assist several major pharmaceutical companies in adopting nanotechnologies in early stage drug development, when the approach is most efficient and cost-effective. For some time, the national lab’s Nanotechno
Structure-based drug discovery for botulinum neurotoxins.
Swaminathan, Subramanyam
2013-01-01
Clostridium botulinum neurotoxin is the most poisonous substance known to humans. It is a potential biowarfare threat and a public health hazard. The only therapeutics available is antibody treatment which will not be effective for post-exposure therapy. There are no drugs available for post-intoxication treatment. Accordingly, it is imperative to develop effective drugs to counter botulism. Available structural information on botulinum neurotoxins both alone and in complex with their substrates offers an efficient method for designing structure-based drugs to treat botulism.
Clinical pharmacokinetics of non-opiate abused drugs.
Busto, U; Bendayan, R; Sellers, E M
1989-01-01
The present review discusses the available data on the kinetic properties of non-opiate abused drugs including psychomotor stimulants, hallucinogens and CNS-depressants. Some of the drugs of abuse reviewed here are illicit drugs (e.g. cannabis, cocaine), while others are effective pharmacological agents but have the potential to be abused (e.g. benzodiazepines). Although some of the drugs mentioned in this review have been in use for centuries (e.g. caffeine, nicotine, cocaine, cannabis), knowledge of their kinetics and metabolism is very recent and in some cases still incomplete. This is partially due to the difficulties inherent in studying drugs of abuse in humans, and to the complex metabolism of some of these drugs (e.g. cannabis, caffeine) which has made it difficult to develop sensitive assays to determine biological pathways. Although drugs of abuse may have entirely different intrinsic pharmacological effects, the kinetic properties of such drugs are factors contributing to abuse and dependence. The pharmacokinetic properties that presumably contribute to self-administration and drug abuse include rapid delivery of the drug into the central nervous system and high free drug clearance. Kinetic characteristics also play an important role in the development of physical dependence and on the appearance of a withdrawal syndrome: the longer the half-life, the greater the likelihood of the development of physical dependence; the shorter the half-life, the earlier and more severe the withdrawal. The balance between these 2 factors, which has not yet been carefully studied, will also influence abuse patterns. The clinical significance of kinetic characteristics with respect to abuse is discussed where possible.
One size fits one: pharmacogenetics in gastroenterology.
Porayette, Prashanth; Flockhart, David; Gupta, Sandeep K
2014-04-01
Individual variability in response and development of adverse effects to drugs is a major challenge in clinical practice. Pharmacogenomics refers to the aspect of personalized medicine where the patient's genetic information instructs the selection and dosage of therapy while also predicting its adverse effects profile. Sequencing of the entire human genome has given us the opportunity to study commonly used drugs as well as newer therapeutic agents in a new light, opening up opportunities for better drug efficacy and decreased adverse effects. This article highlights developments in pharmacogenomics, relates these to practice of gastroenterology, and outlines roadblocks in translation of this knowledge into clinical practice. Copyright © 2014 AGA Institute. Published by Elsevier Inc. All rights reserved.
Substance abuse, memory, and post-traumatic stress disorder.
Tipps, Megan E; Raybuck, Jonathan D; Lattal, K Matthew
2014-07-01
A large body of literature demonstrates the effects of abused substances on memory. These effects differ depending on the drug, the pattern of delivery (acute or chronic), and the drug state at the time of learning or assessment. Substance use disorders involving these drugs are often comorbid with anxiety disorders, such as post-traumatic stress disorder (PTSD). When the cognitive effects of these drugs are considered in the context of the treatment of these disorders, it becomes clear that these drugs may play a deleterious role in the development, maintenance, and treatment of PTSD. In this review, we examine the literature evaluating the cognitive effects of three commonly abused drugs: nicotine, cocaine, and alcohol. These three drugs operate through both common and distinct neurobiological mechanisms and alter learning and memory in multiple ways. We consider how the cognitive and affective effects of these drugs interact with the acquisition, consolidation, and extinction of learned fear, and we discuss the potential impediments that substance abuse creates for the treatment of PTSD. Copyright © 2013 Elsevier Inc. All rights reserved.
Orekhov, Alexander N
2013-01-01
The results of numerous clinical trials with statins and other drugs have demonstrated the principal possibility of the prevention and regression of atherosclerosis by pharmacotherapy. This review describes the use of cultured human arterial cells for the mass screening of anti-atherosclerotic substances, the investigation of the mechanisms responsible for their atherosclerosis-related effects, and the optimization of anti-atherosclerotic and anti-atherogenic drug and dietary therapies. Natural products can be considered promising drugs for anti-atherosclerotic therapy. Our basic studies have shown that cellular lipidosis is the principal event in the genesis of atherosclerotic lesions. Using cellular models and natural products, we have developed an approach to prevent lipid accumulation in arterial cells. Based on our knowledge of atherosclerosis, we developed drugs that possess direct anti-atherosclerotic activity. Two-year treatment with allicor (garlic powder) has a direct anti-atherosclerotic effect on carotid atherosclerosis in asymptomatic men. Inflaminat (calendula, elder, and violet), which possesses anti-cytokine activity, has been shown to cause the regression of carotid atherosclerosis following the treatment of asymptomatic men for one year. The phytoestrogen-rich drug karinat (garlic powder, extract of grape seeds, green tea leaves, hop cones, β-carotene, α-tocopherol, and ascorbic acid) prevents the development of carotid atherosclerosis in postmenopausal women. Thus, our basic findings were successfully translated into clinical practice. Because of this translation, a novel approach to antiatherosclerotic therapy was developed. Our clinical trial confirmed the efficacy of both the novel approach and the novel drugs.
Current Strategies for Inhibition of Chikungunya Infection.
Subudhi, Bharat Bhusan; Chattopadhyay, Soma; Mishra, Priyadarsee; Kumar, Abhishek
2018-05-03
Increasing incidences of Chikungunya virus (CHIKV) infection and co-infections with Dengue/Zika virus have highlighted the urgency for CHIKV management. Failure in developing effective vaccines or specific antivirals has fuelled further research. This review discusses updated strategies of CHIKV inhibition and provides possible future directions. In addition, it analyzes advances in CHIKV lifecycle, drug-target development, and potential hits obtained by in silico and experimental methods. Molecules identified with anti-CHIKV properties using traditional/rational drug design and their potential to succeed in subsequent stages of drug development have also been discussed. Possibilities of repurposing existing drugs based on their in vitro findings have also been elucidated. Probable modes of interference of these compounds at various stages of infection, including entry and replication, have been highlighted. The use of host factors as targets to identify antivirals against CHIKV has been addressed. While most of the earlier antivirals were effective in the early phases of the CHIKV life cycle, this review is also focused on drug candidates that are effective at multiple stages of its life cycle. Since most of these antivirals require validation in preclinical and clinical models, the challenges regarding this have been discussed and will provide critical information for further research.
Current Strategies for Inhibition of Chikungunya Infection
Subudhi, Bharat Bhusan; Chattopadhyay, Soma; Mishra, Priyadarsee
2018-01-01
Increasing incidences of Chikungunya virus (CHIKV) infection and co-infections with Dengue/Zika virus have highlighted the urgency for CHIKV management. Failure in developing effective vaccines or specific antivirals has fuelled further research. This review discusses updated strategies of CHIKV inhibition and provides possible future directions. In addition, it analyzes advances in CHIKV lifecycle, drug-target development, and potential hits obtained by in silico and experimental methods. Molecules identified with anti-CHIKV properties using traditional/rational drug design and their potential to succeed in subsequent stages of drug development have also been discussed. Possibilities of repurposing existing drugs based on their in vitro findings have also been elucidated. Probable modes of interference of these compounds at various stages of infection, including entry and replication, have been highlighted. The use of host factors as targets to identify antivirals against CHIKV has been addressed. While most of the earlier antivirals were effective in the early phases of the CHIKV life cycle, this review is also focused on drug candidates that are effective at multiple stages of its life cycle. Since most of these antivirals require validation in preclinical and clinical models, the challenges regarding this have been discussed and will provide critical information for further research. PMID:29751486
Berro, Laís F; Tufik, Sergio B; Frussa-Filho, Roberto; Andersen, Monica L; Tufik, Sergio
2018-04-03
Sleep deprivation (SD) and amphetamine use are commonly associated conditions. SD shares similar neurobiological effects with psychostimulants, playing an important role in drug addiction, especially through conditioning manipulations. The aim of the present study was to investigate the effects of SD on the development of amphetamine-induced conditioned place preference (CPP) in a protocol with a reduced number of conditioning sessions. Male adult Wistar rats were submitted to 4 conditioning sessions (2 sessions/day) in the CPP apparatus, half with saline (non-drug-paired compartment) and half with 2 mg/kg amphetamine (drug-paired compartment) after control (home-cage maintained) or SD (6 h gentle handling method) conditions. Control animals did not express a preference for the amphetamine-paired compartment, showing that 2 conditioning sessions with the drug were not sufficient to establish CPP. On the other hand, animals submitted to SD during the conditioning sessions expressed a preference for the amphetamine-paired compartment, which was maintained across the entire test session. SD precipitated the development of CPP to amphetamine, showing that lack of sleep can contribute to the establishment of a conditioning between the drug effect and environmental cues. Copyright © 2018 Elsevier B.V. All rights reserved.
An experimental evaluation of drug-induced mutational meltdown as an antiviral treatment strategy.
Bank, Claudia; Renzette, Nicholas; Liu, Ping; Matuszewski, Sebastian; Shim, Hyunjin; Foll, Matthieu; Bolon, Daniel N A; Zeldovich, Konstantin B; Kowalik, Timothy F; Finberg, Robert W; Wang, Jennifer P; Jensen, Jeffrey D
2016-11-01
The rapid evolution of drug resistance remains a critical public health concern. The treatment of influenza A virus (IAV) has proven particularly challenging, due to the ability of the virus to develop resistance against current antivirals and vaccines. Here, we evaluate a novel antiviral drug therapy, favipiravir, for which the mechanism of action in IAV involves an interaction with the viral RNA-dependent RNA polymerase resulting in an effective increase in the viral mutation rate. We used an experimental evolution framework, combined with novel population genetic method development for inference from time-sampled data, to evaluate the effectiveness of favipiravir against IAV. Evaluating whole genome polymorphism data across 15 time points under multiple drug concentrations and in controls, we present the first evidence for the ability of IAV populations to effectively adapt to low concentrations of favipiravir. In contrast, under high concentrations, we observe population extinction, indicative of mutational meltdown. We discuss the observed dynamics with respect to the evolutionary forces at play and emphasize the utility of evolutionary theory to inform drug development. © 2016 The Author(s). Evolution © 2016 The Society for the Study of Evolution.
Navarrete, Enrique G; Liang, Ping; Lan, Feng; Sanchez-Freire, Verónica; Simmons, Chelsey; Gong, Tingyu; Sharma, Arun; Burridge, Paul W; Patlolla, Bhagat; Lee, Andrew S; Wu, Haodi; Beygui, Ramin E; Wu, Sean M; Robbins, Robert C; Bers, Donald M; Wu, Joseph C
2013-09-10
Drug-induced arrhythmia is one of the most common causes of drug development failure and withdrawal from market. This study tested whether human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) combined with a low-impedance microelectrode array (MEA) system could improve on industry-standard preclinical cardiotoxicity screening methods, identify the effects of well-characterized drugs, and elucidate underlying risk factors for drug-induced arrhythmia. hiPSC-CMs may be advantageous over immortalized cell lines because they possess similar functional characteristics as primary human cardiomyocytes and can be generated in unlimited quantities. Pharmacological responses of beating embryoid bodies exposed to a comprehensive panel of drugs at 65 to 95 days postinduction were determined. Responses of hiPSC-CMs to drugs were qualitatively and quantitatively consistent with the reported drug effects in literature. Torsadogenic hERG blockers, such as sotalol and quinidine, produced statistically and physiologically significant effects, consistent with patch-clamp studies, on human embryonic stem cell-derived cardiomyocytes hESC-CMs. False-negative and false-positive hERG blockers were identified accurately. Consistent with published studies using animal models, early afterdepolarizations and ectopic beats were observed in 33% and 40% of embryoid bodies treated with sotalol and quinidine, respectively, compared with negligible early afterdepolarizations and ectopic beats in untreated controls. We found that drug-induced arrhythmias can be recapitulated in hiPSC-CMs and documented with low impedance MEA. Our data indicate that the MEA/hiPSC-CM assay is a sensitive, robust, and efficient platform for testing drug effectiveness and for arrhythmia screening. This system may hold great potential for reducing drug development costs and may provide significant advantages over current industry standard assays that use immortalized cell lines or animal models.
Allarakhia, Minna
2013-01-01
Repurposing has the objective of targeting existing drugs and failed, abandoned, or yet-to-be-pursued clinical candidates to new disease areas. The open-source model permits for the sharing of data, resources, compounds, clinical molecules, small libraries, and screening platforms to cost-effectively advance old drugs and/or candidates into clinical re-development. Clearly, at the core of drug-repurposing activities is collaboration, in many cases progressing beyond the open sharing of resources, technology, and intellectual property, to the sharing of facilities and joint program development to foster drug-repurposing human-capacity development. A variety of initiatives under way for drug repurposing, including those targeting rare and neglected diseases, are discussed in this review and provide insight into the stakeholders engaged in drug-repurposing discovery, the models of collaboration used, the intellectual property-management policies crafted, and human capacity developed. In the case of neglected tropical diseases, it is suggested that the development of human capital be a central aspect of drug-repurposing programs. Open-source models can support human-capital development through collaborative data generation, open compound access, open and collaborative screening, preclinical and possibly clinical studies. Given the urgency of drug development for neglected tropical diseases, the review suggests elements from current repurposing programs be extended to the neglected tropical diseases arena. PMID:23966771
Allarakhia, Minna
2013-01-01
Repurposing has the objective of targeting existing drugs and failed, abandoned, or yet-to-be-pursued clinical candidates to new disease areas. The open-source model permits for the sharing of data, resources, compounds, clinical molecules, small libraries, and screening platforms to cost-effectively advance old drugs and/or candidates into clinical re-development. Clearly, at the core of drug-repurposing activities is collaboration, in many cases progressing beyond the open sharing of resources, technology, and intellectual property, to the sharing of facilities and joint program development to foster drug-repurposing human-capacity development. A variety of initiatives under way for drug repurposing, including those targeting rare and neglected diseases, are discussed in this review and provide insight into the stakeholders engaged in drug-repurposing discovery, the models of collaboration used, the intellectual property-management policies crafted, and human capacity developed. In the case of neglected tropical diseases, it is suggested that the development of human capital be a central aspect of drug-repurposing programs. Open-source models can support human-capital development through collaborative data generation, open compound access, open and collaborative screening, preclinical and possibly clinical studies. Given the urgency of drug development for neglected tropical diseases, the review suggests elements from current repurposing programs be extended to the neglected tropical diseases arena.
Mello, Juliana da Fonseca Rezende E; Gomes, Renan Augusto; Vital-Fujii, Drielli Gomes; Ferreira, Glaucio Monteiro; Trossini, Gustavo Henrique Goulart
2017-12-01
Neglected diseases (NDs) affect large populations and almost whole continents, representing 12% of the global health burden. In contrast, the treatment available today is limited and sometimes ineffective. Under this scenery, the Fragment-Based Drug Discovery emerged as one of the most promising alternatives to the traditional methods of drug development. This method allows achieving new lead compounds with smaller size of fragment libraries. Even with the wide Fragment-Based Drug Discovery success resulting in new effective therapeutic agents against different diseases, until this moment few studies have been applied this approach for NDs area. In this article, we discuss the basic Fragment-Based Drug Discovery process, brief successful ideas of general applications and show a landscape of its use in NDs, encouraging the implementation of this strategy as an interesting way to optimize the development of new drugs to NDs. © 2017 John Wiley & Sons A/S.
Djukić, L J; Roganović, J; Brajović, M D; Bokonjić, D; Stojić, D
2015-07-01
The present cross-sectional study aimed to determine the effect of first-line anti-hypertensive drugs (enalapril, metoprolol, and combinations of enalapril with metoprolol and/or hydrochlorothiazide) on salivary gland function and salivary total antioxidant capacity (TAC) in hypertensive patients with/without diabetes mellitus (DM) type 2. Salivary gland function was measured as xerostomia (interview) and unstimulated whole saliva flow rate (UWSFR) in 447 subjects (387 hypertensive and 60 healthy). Salivary TAC was evaluated by spectrophotometric assay. Enalapril is not xerogenic, while metoprolol and drug combinations are. In the presence of DM type 2, all drugs, except metoprolol, had pronounced xerogenic effect. Binary logistic regression analysis found enalapril to be significantly associated with decreased risk of xerogenic effect development, while DM type 2 with increased risk. In the presence of enalapril in hypertensive patients with/without DM type 2 salivary TAC was similar to that in healthy subjects, while for metoprolol was reduced. Enalapril is not xerogenic but is antioxidant, which moderately reduces the risk of xerogenic effect development even in the presence of DM type 2. However, metoprolol and drug combinations exhibit xerogenic effect. In DM type 2, xerogenic effect of all drugs was pronounced except of metoprolol. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Edwards, Eric S; Edwards, Evan T; Simons, F Estelle R; North, Robert
2015-05-01
The systematic application of human factors engineering (HFE) principles to the development of drug-device combination products, including epinephrine auto-injectors (EAIs), has the potential to improve the effectiveness and safety of drug administration. A PubMed search was performed to assess the role of HFE in the development of drug-device combination products. The following keywords were used in different combinations: 'human factors engineering,' 'human factors,' 'medical products,' 'epinephrine/adrenaline auto-injector,' 'healthcare' and 'patient safety.' This review provides a summary of HFE principles and their application to the development of drug-device combination products as advised by the US FDA. It also describes the HFE process that was applied to the development of Auvi-Q, a novel EAI, highlighting specific steps that occurred during the product-development program. For drug-device combination products, device labeling and usability are critical and have the potential to impact clinical outcomes. Application of HFE principles to the development of drug-delivery devices has the potential to improve product quality and reliability, reduce risk and improve patient safety when applied early in the development process. Additional clinical and real-world studies will confirm whether the application of HFE has helped to develop an EAI that better meets the needs of patients at risk of anaphylaxis.
A side-effect free method for identifying cancer drug targets.
Ashraf, Md Izhar; Ong, Seng-Kai; Mujawar, Shama; Pawar, Shrikant; More, Pallavi; Paul, Somnath; Lahiri, Chandrajit
2018-04-27
Identifying effective drug targets, with little or no side effects, remains an ever challenging task. A potential pitfall of failing to uncover the correct drug targets, due to side effect of pleiotropic genes, might lead the potential drugs to be illicit and withdrawn. Simplifying disease complexity, for the investigation of the mechanistic aspects and identification of effective drug targets, have been done through several approaches of protein interactome analysis. Of these, centrality measures have always gained importance in identifying candidate drug targets. Here, we put forward an integrated method of analysing a complex network of cancer and depict the importance of k-core, functional connectivity and centrality (KFC) for identifying effective drug targets. Essentially, we have extracted the proteins involved in the pathways leading to cancer from the pathway databases which enlist real experimental datasets. The interactions between these proteins were mapped to build an interactome. Integrative analyses of the interactome enabled us to unearth plausible reasons for drugs being rendered withdrawn, thereby giving future scope to pharmaceutical industries to potentially avoid them (e.g. ESR1, HDAC2, F2, PLG, PPARA, RXRA, etc). Based upon our KFC criteria, we have shortlisted ten proteins (GRB2, FYN, PIK3R1, CBL, JAK2, LCK, LYN, SYK, JAK1 and SOCS3) as effective candidates for drug development.
Frances Kelsey and Thalidomide in the US: A Case Study Relating to Pharmaceutical Regulations.
ERIC Educational Resources Information Center
Seidman, Lisa A.; Warren, Noreen
2002-01-01
Presents a case study on the story of Dr. Frances Kelsey and the drug thalidomide, which was widely used in Europe for its therapeutic effects in the 1960s and later identified as having multiple effects on the body during development by the Food and Drug Administration (FDA). Describes the drug approval process in the United States and…
[Pharmacotherapy of hyperthyreosis--adverse drug reactions].
Perger, Ludwig; Bürgi, Ulrich; Fattinger, Karin
2011-06-01
The antithyroid drugs mainly include thioimidazole (carbimazole, methimazole=thiamazole) and propylthiouracil. After absorption, carbimazole is rapidly metabolized to methimazole and thus switching between these two drugs should not be considered in case of side effects. Furthermore, in case of side effects, sometimes even cross reactions between thioimidazoles and propylthiouracil occur. Common and typical adverse reactions of antithyroid drugs include dose dependent hypothyroidism and thus thyroid function should be repeatedly checked while the patient is on antithyroid drugs. Furthermore, pruritus and rash may develop. In this case, one might try to switch from thioimidazoles to propylthiouracil or vice versa. Antithyroid drugs may cause mild dose dependent neutropenia or severe allergy-mediated agranulocytosis, which typically occurs during the first three months of treatment, has an incidence of 3 per 10,000 patients and cross reactivity between thioimidazoles to propylthiouracil may occur. Rarely, antithyroid drugs can cause aplastic anemia. Mainly propylthiouracil, but sometimes also methimazole may lead to an asymptomatic transient increase in liver enzymes or to severe, even lethal liver injury of cholestatic or hepatocellular pattern. Since propylthiouracil associated liver injury was observed increasingly among children and adolescent, it has been suggested to prefer thioimidazoles for these patients. Because of these potential serious adverse effects, physicians should advise patients to immediately seek medical help if they get a fever or sore throat or malaise, abdominal complaints or jaundice, respectively. Furthermore, arthralgias may develop in 1-5% of patients under both antithyroid drugs. Since arthralgias may be the first symptom of more serious immunologic side effects, it is recommended to stop the antithyroid drug in this case. Drug induced polyarthritis mainly develops during the first month of therapy, whereas ANCA-positive vasculitis is generally observed only after long term exposure to propylthiouracil or very rarely with the thioimidazoles. The teratogenic risk of the thioimidazoles is somewhat higher (Aplasia cutis congenita), that is why one generally recommends preferring propylthiouracil during pregnancy. During breast feeding both, thioimidazoles or propylthiouracil, may be administered. Nowadays, perchlorate is only used short term in case of latent hyperthyroidism before administering iodine-containing contrast agents. Therefore, the known side effects, which usually are only observed after long term treatment, are not an issue any more.
Quantitative systems toxicology
Bloomingdale, Peter; Housand, Conrad; Apgar, Joshua F.; Millard, Bjorn L.; Mager, Donald E.; Burke, John M.; Shah, Dhaval K.
2017-01-01
The overarching goal of modern drug development is to optimize therapeutic benefits while minimizing adverse effects. However, inadequate efficacy and safety concerns remain to be the major causes of drug attrition in clinical development. For the past 80 years, toxicity testing has consisted of evaluating the adverse effects of drugs in animals to predict human health risks. The U.S. Environmental Protection Agency recognized the need to develop innovative toxicity testing strategies and asked the National Research Council to develop a long-range vision and strategy for toxicity testing in the 21st century. The vision aims to reduce the use of animals and drug development costs through the integration of computational modeling and in vitro experimental methods that evaluates the perturbation of toxicity-related pathways. Towards this vision, collaborative quantitative systems pharmacology and toxicology modeling endeavors (QSP/QST) have been initiated amongst numerous organizations worldwide. In this article, we discuss how quantitative structure-activity relationship (QSAR), network-based, and pharmacokinetic/pharmacodynamic modeling approaches can be integrated into the framework of QST models. Additionally, we review the application of QST models to predict cardiotoxicity and hepatotoxicity of drugs throughout their development. Cell and organ specific QST models are likely to become an essential component of modern toxicity testing, and provides a solid foundation towards determining individualized therapeutic windows to improve patient safety. PMID:29308440
Preventing adolescent drug use: long-term results of a junior high program.
Ellickson, P L; Bell, R M; McGuigan, K
1993-01-01
OBJECTIVES. Although several studies have reported short-term gains for drug-use prevention programs targeted at young adolescents, few have assessed the long-term effects of such programs. Such information is essential for judging how long prevention benefits last. This paper reports results over a 6-year period for a multisite randomized trial that achieved reductions in drug use during the junior high school years. METHODS. The 11-lesson curriculum, which was tested in 30 schools in eight highly diverse West Coast communities, focused on helping 7th and 8th grade students develop the motivation and skills to resist drugs. Schools were randomly assigned to treatment and control conditions. About 4000 students were assessed in grade 7 and six times thereafter through grade 12. Program effects were adjusted for pretest covariates and school effects. RESULTS. Once the lessons stopped, the program's effects on drug use stopped. Effects on cognitive risk factors persisted for a longer time (many through grade 10), but were not sufficient to produce corresponding reductions in use. CONCLUSIONS. It is unlikely that early prevention gains can be maintained without additional prevention efforts during high school. Future research is needed to develop and test such efforts. PMID:8498624
Openshaw, Matthew S
2005-01-01
Popular attention has focused on the skyrocketing health care costs in the United States and specifically on increasing insurance and prescription drug prices. Individuals and some local governments have advocated importing price-controlled prescription drugs from Canada to help ease the financial burden. What effects would this have on consumer prices, drug companies' incentives, and the development of new medications?
Trial endpoints for drug approval in oncology: Chemoprevention.
Beitz, J
2001-04-01
As with other drugs, new drug applications for marketing approval of chemopreventive drugs must include data from adequate and well-controlled clinical trials that demonstrate effectiveness and safety for the intended use. This article summarizes the regulatory requirements for traditional marketing approval, as well as for approval under the accelerated approval regulations. Unlike traditional approval, accelerated approval is based on a surrogate endpoint that is reasonably likely to predict clinical benefit. Discussions with the Food and Drug Administration (FDA) regarding the validity of trial endpoints that may serve as surrogates for clinical benefit for accelerated approval should take place as early as possible in drug development. Meetings with the FDA to discuss these issues may be requested throughout the clinical development of a new drug.
Modeling the role of environment in addiction.
Caprioli, Daniele; Celentano, Michele; Paolone, Giovanna; Badiani, Aldo
2007-11-15
The aim of this review is to provide an overview of the main types of animal models used to investigate the modulatory role of environment on drug addiction. The environment can alter the responsiveness to addictive drugs in at least three major ways. First, adverse life experiences can make an individual more vulnerable to develop drug addiction or to relapse into drug seeking. Second, neutral environmental cues can acquire, through Pavlovian conditioning, the ability to trigger drug seeking even after long periods of abstinence. Third, the environment immediately surrounding drug taking can alter the behavioral, subjective, and rewarding effects of a given drug, thus influencing the propensity to use the same drug again. We have focused in particular on the results obtained using an animal model we have developed to study the latter type of drug-environment interaction.
Grootendorst, Paul; Matteo, Livio Di
2007-01-01
While pharmaceutical patent terms have increased in Canada, increases in patented drug spending have been mitigated by price controls and retrenchment of public prescription drug subsidy programs. We estimate the net effects of these offsetting policies on domestic pharmaceutical R&D expenditures and also provide an upper-bound estimate on the effects of these policies on Canadian pharmaceutical spending over the period 1988–2002. We estimate that R&D spending increased by $4.4 billion (1997 dollars). Drug spending increased by $3.9 billion at most and, quite likely, by much less. Cutbacks to public drug subsidies and the introduction of price controls likely mitigated drug spending growth. In cost–benefit terms, we suspect that the patent extension policies have been beneficial to Canada. PMID:19305720
Nanoparticulate strategies for effective delivery of poorly soluble therapeutics.
Gokce, Evren H; Ozyazici, Mine; Souto, Eliana B
2010-07-01
The pharmacological activity of a drug molecule depends on its ability to dissolve and interact with its biological target, either through dissolution and absorption, or through dissolution and receptor interaction. The low bioavailability that characterizes poorly water-soluble drugs is usually attributed to the dissolution kinetic profile. Novel strategies to effectively deliver these drugs include nanoparticulate approaches that either increase the surface area of the drug or improve the solubility characteristics of the drug. Nanosizing approaches are based on the production of drug nanocrytals dispersed in an aqueous surfactant solution, whereas other possibilities include drug loading in nanoparticles. Promising nanoparticulate approaches include the development of lipid-based nanocarriers to increase drug solubility followed by enhanced bioavailability. To select the best approach there are, however, some critical considerations to take into account, for example the physicochemical properties of the drug, the possibility to scale-up the production process, the toxicological considerations of the use of solvents and cosolvents, the selection of an environmentally sustainable methodology and the development of a more patient-friendly dosage form. This article addresses these relevant questions and provides feasible examples of novel strategies with respect to relevant administration routes.
[Immunotherapies for drug addictions].
Montoya, Ivan
2008-01-01
Immunotherapies in the form of vaccines (active immunization) or monoclonal antibodies (passive immunization) appear safe and a promising treatment approaches for some substance-related disorders. The mechanism of action of the antibody therapy is by preventing the rapid entry of drugs of abuse into the central nervous system. In theory, immunotherapies could have several clinical applications. Monoclonal antibodies may be useful to treat drug overdoses and prevent the neurotoxic effects of drugs by blocking the access of drugs to the brain. Vaccines may help to prevent the development of addiction, initiate drug abstinence in those already addicted to drugs, or prevent drug use relapse by reducing the pharmacological effects and rewarding properties of the drugs of abuse on the brain. Passive immunization with monoclonal antibodies has been investigated for cocaine, methamphetamine, nicotine, and phencyclidine (PCP). Active immunization with vaccines has been studied for cocaine, heroin, methamphetamine, and nicotine. These immunotherapies seem promising therapeutic tools and are at different stages in their development before they can be approved by regulatory agencies for the treatment of substance-related disorders. The purpose of this article is to review the current immunotherapy approaches with emphasis on the risks and benefits for the treatment of these disorders.
Inmunoterapias para las adicciones a las drogas Immunotherapies for Drug Addictions
Montoya, Iván D.
2008-01-01
Immunotherapies in the form of vaccines (active immunization) or monoclonal antibodies (passive immunization) appear safe and a promising treatment approaches for some substance-related disorders. The mechanism of action of the antibody therapy is by preventing the rapid entry of drugs of abuse into the central nervous system. In theory, immunotherapies could have several clinical applications. Monoclonal antibodies may be useful to treat drug overdoses and prevent the neurotoxic effects of drugs by blocking the access of drugs to the brain. Vaccines may help to prevent the development of addiction, initiate drug abstinence in those already addicted to drugs, or prevent drug use relapse by reducing the pharmacological effects and rewarding properties of the drugs of abuse on the brain. Passive immunization with monoclonal antibodies has been investigated for cocaine, methamphetamine, nicotine, and phencyclidine (PCP). Active immunization with vaccines has been studied for cocaine, heroin, methamphetamine, and nicotine. These immunotherapies seem promising therapeutic tools and are at different stages in their development before they can be approved by regulatory agencies for the treatment of substance-related disorders. The purpose of this article is to review the current immunotherapy approaches with emphasis on the risks and benefits for the treatment of these disorders. PMID:18551223
Brown, Matt A; Bishnoi, Ram J; Dholakia, Sara; Velligan, Dawn I
2016-01-20
Recent failures to detect efficacy in clinical trials investigating pharmacological treatments for schizophrenia raise concerns regarding the potential contribution of methodological shortcomings to this research. This review provides an examination of two key methodological issues currently suspected of playing a role in hampering schizophrenia drug development; 1) limitations on the translational utility of preclinical development models, and 2) methodological challenges posed by increased placebo effects. Recommendations for strategies to address these methodological issues are addressed.
DR2DI: a powerful computational tool for predicting novel drug-disease associations
NASA Astrophysics Data System (ADS)
Lu, Lu; Yu, Hua
2018-05-01
Finding the new related candidate diseases for known drugs provides an effective method for fast-speed and low-risk drug development. However, experimental identification of drug-disease associations is expensive and time-consuming. This motivates the need for developing in silico computational methods that can infer true drug-disease pairs with high confidence. In this study, we presented a novel and powerful computational tool, DR2DI, for accurately uncovering the potential associations between drugs and diseases using high-dimensional and heterogeneous omics data as information sources. Based on a unified and extended similarity kernel framework, DR2DI inferred the unknown relationships between drugs and diseases using Regularized Kernel Classifier. Importantly, DR2DI employed a semi-supervised and global learning algorithm which can be applied to uncover the diseases (drugs) associated with known and novel drugs (diseases). In silico global validation experiments showed that DR2DI significantly outperforms recent two approaches for predicting drug-disease associations. Detailed case studies further demonstrated that the therapeutic indications and side effects of drugs predicted by DR2DI could be validated by existing database records and literature, suggesting that DR2DI can be served as a useful bioinformatic tool for identifying the potential drug-disease associations and guiding drug repositioning. Our software and comparison codes are freely available at https://github.com/huayu1111/DR2DI.
DR2DI: a powerful computational tool for predicting novel drug-disease associations
NASA Astrophysics Data System (ADS)
Lu, Lu; Yu, Hua
2018-04-01
Finding the new related candidate diseases for known drugs provides an effective method for fast-speed and low-risk drug development. However, experimental identification of drug-disease associations is expensive and time-consuming. This motivates the need for developing in silico computational methods that can infer true drug-disease pairs with high confidence. In this study, we presented a novel and powerful computational tool, DR2DI, for accurately uncovering the potential associations between drugs and diseases using high-dimensional and heterogeneous omics data as information sources. Based on a unified and extended similarity kernel framework, DR2DI inferred the unknown relationships between drugs and diseases using Regularized Kernel Classifier. Importantly, DR2DI employed a semi-supervised and global learning algorithm which can be applied to uncover the diseases (drugs) associated with known and novel drugs (diseases). In silico global validation experiments showed that DR2DI significantly outperforms recent two approaches for predicting drug-disease associations. Detailed case studies further demonstrated that the therapeutic indications and side effects of drugs predicted by DR2DI could be validated by existing database records and literature, suggesting that DR2DI can be served as a useful bioinformatic tool for identifying the potential drug-disease associations and guiding drug repositioning. Our software and comparison codes are freely available at https://github.com/huayu1111/DR2DI.
Synergistic combinations of antifungals and anti-virulence agents to fight against Candida albicans.
Cui, Jinhui; Ren, Biao; Tong, Yaojun; Dai, Huanqin; Zhang, Lixin
2015-01-01
Candida albicans, one of the pathogenic Candida species, causes high mortality rate in immunocompromised and high-risk surgical patients. In the last decade, only one new class of antifungal drug echinocandin was applied. The increased therapy failures, such as the one caused by multi-drug resistance, demand innovative strategies for new effective antifungal drugs. Synergistic combinations of antifungals and anti-virulence agents highlight the pragmatic strategy to reduce the development of drug resistant and potentially repurpose known antifungals, which bypass the costly and time-consuming pipeline of new drug development. Anti-virulence and synergistic combination provide new options for antifungal drug discovery by counteracting the difficulty or failure of traditional therapy for fungal infections.
Ou-Yang, Si-sheng; Lu, Jun-yan; Kong, Xiang-qian; Liang, Zhong-jie; Luo, Cheng; Jiang, Hualiang
2012-01-01
Computational drug discovery is an effective strategy for accelerating and economizing drug discovery and development process. Because of the dramatic increase in the availability of biological macromolecule and small molecule information, the applicability of computational drug discovery has been extended and broadly applied to nearly every stage in the drug discovery and development workflow, including target identification and validation, lead discovery and optimization and preclinical tests. Over the past decades, computational drug discovery methods such as molecular docking, pharmacophore modeling and mapping, de novo design, molecular similarity calculation and sequence-based virtual screening have been greatly improved. In this review, we present an overview of these important computational methods, platforms and successful applications in this field. PMID:22922346
Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions.
La, Mary K; Sedykh, Alexander; Fourches, Denis; Muratov, Eugene; Tropsha, Alexander
2018-06-06
Given that adverse drug effects (ADEs) have led to post-market patient harm and subsequent drug withdrawal, failure of candidate agents in the drug development process, and other negative outcomes, it is essential to attempt to forecast ADEs and other relevant drug-target-effect relationships as early as possible. Current pharmacologic data sources, providing multiple complementary perspectives on the drug-target-effect paradigm, can be integrated to facilitate the inference of relationships between these entities. This study aims to identify both existing and unknown relationships between chemicals (C), protein targets (T), and ADEs (E) based on evidence in the literature. Cheminformatics and data mining approaches were employed to integrate and analyze publicly available clinical pharmacology data and literature assertions interrelating drugs, targets, and ADEs. Based on these assertions, a C-T-E relationship knowledge base was developed. Known pairwise relationships between chemicals, targets, and ADEs were collected from several pharmacological and biomedical data sources. These relationships were curated and integrated according to Swanson's paradigm to form C-T-E triangles. Missing C-E edges were then inferred as C-E relationships. Unreported associations between drugs, targets, and ADEs were inferred, and inferences were prioritized as testable hypotheses. Several C-E inferences, including testosterone → myocardial infarction, were identified using inferences based on the literature sources published prior to confirmatory case reports. Timestamping approaches confirmed the predictive ability of this inference strategy on a larger scale. The presented workflow, based on free-access databases and an association-based inference scheme, provided novel C-E relationships that have been validated post hoc in case reports. With refinement of prioritization schemes for the generated C-E inferences, this workflow may provide an effective computational method for the early detection of potential drug candidate ADEs that can be followed by targeted experimental investigations.
Development and characterization of multifunctional nanoparticles for drug delivery to cancer cells
NASA Astrophysics Data System (ADS)
Nahire, Rahul Rajaram
Lipid and polymeric nanoparticles, although proven to be effective drug delivery systems compared to free drugs, have shown considerable limitations pertaining to their uptake and release at tumor sites. Spatial and temporal control over the delivery of anticancer drugs has always been challenge to drug delivery scientists. Here, we have developed and characterized multifunctional nanoparticles (liposomes and polymersomes) which are targeted specifically to cancer cells, and release their contents with tumor specific internal triggers. To enable these nanoparticles to be tracked in blood circulation, we have imparted them with echogenic characteristic. Echogenicity of nanoparticles is evaluated using ultrasound scattering and imaging experiments. Nanoparticles demonstrated effective release with internal triggers such as elevated levels of MMP-9 enzyme found in the extracellular matrix of tumor cells, decreased pH of lysosome, and differential concentration of reducing agents in cytosol of cancer cells. We have also successfully demonstrated the sensitivity of these particles towards ultrasound to further enhance the release with internal triggers. To ensure the selective uptake by folate receptor- overexpressing cancer cells, we decorated these nanoparticles with folic acid on their surface. Fluorescence microscopic images showed significantly higher uptake of folate-targeted nanoparticles by MCF-7 (breast cancer) and PANC-1 (pancreatic cancer) cells compared to particles without any targeting ligand on their surface. To demonstrate the effectiveness of these nanoparticles to carry the drugs inside and kill cancer cells, we encapsulated doxorubicin and/or gemcitabine employing the pH gradient method. Drug loaded nanoparticles showed significantly higher killing of the cancer cells compared to their non-targeted counterparts and free drugs. With further development, these nanoparticles certainly have potential to be used as a multifunctional nanocarriers for image guided, targeted delivery of anticancer drugs.
Development, characterization and in vivo evaluation of benzocaine-loaded liposomes.
Mura, Paola; Maestrelli, Francesca; González-Rodríguez, Maria Luisa; Michelacci, Ilaria; Ghelardini, Carla; Rabasco, Antonio M
2007-08-01
This study reports the development and in vivo evaluation of a liposomal formulation of the local anaesthetic benzocaine. Multi-lamellar (MLV) and small uni-lamellar (SUV) vesicles entrapping benzocaine were prepared using 50:50 w/w phosphatidylcholine-cholesterol as lipophilic phase and 50:50 v/v ethanol-water as hydrophilic phase. Liposome size, Zeta-potential, encapsulation efficiency and skin penetration properties were determined. Drug permeation from liposomal dispersions, as such or formulated in Carbopol gel, was evaluated through artificial lipophilic membranes and excised abdominal rat skin, whereas in vivo anaesthetic effect was tested on rabbits. Interestingly, addition of the drug into the hydrophilic phase, rather than into the lipophilic one, during liposome preparation enabled an improvement of the MLV's entrapment efficiency from 29.7% to 82.3%. On the other hand, sonication conditions to obtain SUV influenced size and polydispersity index of the vesicles and reduced the entrapment efficiency by about 30%. All liposomal-benzocaine formulations showed sustained release properties and a more intense anaesthetic effect than plain drug. Permeation experiments from drug solutions in gel containing the same amount of ethanol as in the liposomal formulations made it possible to exclude a possible enhancer effect of this solvent, at least when not used in liposomal formulations. MLV with the drug added into the hydrophilic phase gave the most effective formulation, showing a permeability coefficient value 2.5 times higher than that of the plain drug and allowing a significant improvement (P<0.01) not only of intensity but also of duration of anaesthetic effect of benzocaine. These results suggest that a suitably developed liposomal formulation of benzocaine can be of actual value for improving its clinical effectiveness in topical anaesthesia.
Qu, Ying; Chu, BingYang; Shi, Kun; Peng, JinRong; Qian, ZhiYong
2017-12-01
Polymeric micelles have presented superior delivery properties for poorly water-soluble chemotherapeutic agents. However, it remains discouraging that there may be some additional short or long-term toxicities caused by the metabolites of high quantities of carriers. If carriers had simultaneous therapeutic effects with the drug, these issues would not be a concern. For this, carriers not only simply act as drug carriers, but also exert an intrinsic therapeutic effect as a therapeutic agent. The functional micellar carriers would be beneficial to maximize the anticancer effect, overcome the drug resistance and reduce the systemic toxicity. In this review, we aim to summarize the recent progress on the development of functional micellar carriers with intrinsic anticancer activities for the delivery of anticancer drugs. This review focuses on the design strategies, properties of carriers and the drug loading behavior. In addition, the combinational therapeutic effects between carriers and chemotherapeutic agents are also discussed.
Drug Abuse Information, Teacher Resource Material.
ERIC Educational Resources Information Center
Bowen, Haskell, Comp.
This informational publication is to be used as an aid for teachers, bringing them basic facts regarding drugs and drug abuse. Its purpose is to (1) give additional teacher background information and (2) enrich any course of study that has been developed on drug abuse. To use the material most effectively, it is suggested the teacher have an…
ERIC Educational Resources Information Center
Circle, Inc., McLean, VA.
This guide is designed to serve organizations and individuals working with youth on issues of alcohol and other drug (AOD) prevention. Chapter 1 examines why coalitions are needed, characteristics of prevention, misconceptions about alcohol and other drug use, community systems and alcohol and other drug use, definitions of coalitions and…
[The effect of bemithyl on the onthogenesis of rats].
Spasov, A A; Bugaeva, L I; Denisova, T D; Smirnova, L A
2005-01-01
Female rats were treated with bemithyl (20 and 100 mg/kg) via a gastric tube during a 16-day period of lactation. It was found that the drug is transferred with breast milk to the organism of newborns, which leads to nonuniformities in their development. Among the early effects of bemithyl, most pronounced is the stimulating action upon maturation (muscle strength) and the development of sensor-locomotor reflexes; in the spectrum of long-term effects, the drug influence upon pubescence processes was manifested.
Chou, Ting-Chao
2011-01-01
The mass-action law based system analysis via mathematical induction and deduction lead to the generalized theory and algorithm that allows computerized simulation of dose-effect dynamics with small size experiments using a small number of data points in vitro, in animals, and in humans. The median-effect equation of the mass-action law deduced from over 300 mechanism specific-equations has been shown to be the unified theory that serves as the common-link for complicated biomedical systems. After using the median-effect principle as the common denominator, its applications are mechanism-independent, drug unit-independent, and dynamic order-independent; and can be used generally for single drug analysis or for multiple drug combinations in constant-ratio or non-constant ratios. Since the "median" is the common link and universal reference point in biological systems, these general enabling lead to computerized quantitative bio-informatics for econo-green bio-research in broad disciplines. Specific applications of the theory, especially relevant to drug discovery, drug combination, and clinical trials, have been cited or illustrated in terms of algorithms, experimental design and computerized simulation for data analysis. Lessons learned from cancer research during the past fifty years provide a valuable opportunity to reflect, and to improve the conventional divergent approach and to introduce a new convergent avenue, based on the mass-action law principle, for the efficient cancer drug discovery and the low-cost drug development.
Chou, Ting-Chao
2011-01-01
The mass-action law based system analysis via mathematical induction and deduction lead to the generalized theory and algorithm that allows computerized simulation of dose-effect dynamics with small size experiments using a small number of data points in vitro, in animals, and in humans. The median-effect equation of the mass-action law deduced from over 300 mechanism specific-equations has been shown to be the unified theory that serves as the common-link for complicated biomedical systems. After using the median-effect principle as the common denominator, its applications are mechanism-independent, drug unit-independent, and dynamic order-independent; and can be used generally for single drug analysis or for multiple drug combinations in constant-ratio or non-constant ratios. Since the “median” is the common link and universal reference point in biological systems, these general enabling lead to computerized quantitative bio-informatics for econo-green bio-research in broad disciplines. Specific applications of the theory, especially relevant to drug discovery, drug combination, and clinical trials, have been cited or illustrated in terms of algorithms, experimental design and computerized simulation for data analysis. Lessons learned from cancer research during the past fifty years provide a valuable opportunity to reflect, and to improve the conventional divergent approach and to introduce a new convergent avenue, based on the mass-action law principle, for the efficient cancer drug discovery and the low-cost drug development. PMID:22016837
The effects of abused drugs on adolescent development of corticolimbic circuitry and behavior
Gulley, Joshua M.; Juraska, Janice M.
2013-01-01
Adolescence is a period of significant neurobiological change that occurs as individuals transition from childhood to adulthood. Because the nervous system is in a relatively labile state during this stage of development, it may be especially sensitive to experience-induced plasticity. One such experience that is relatively common to adolescents is the exposure to drugs of abuse, particularly alcohol and psychostimulants. In this review, we highlight recent findings on the long-lasting effects of exposure to these drugs during adolescence in humans as well as in animal models. Whenever possible, our focus is on studies that use comparison groups of adolescent- and adult-exposed subjects as this is a more direct test of the hypothesis that adolescence represents a period of enhanced vulnerability to the effects of drug-induced plasticity. Lastly, we suggest areas of future investigation that are needed and methodological concerns that should be addressed. PMID:23711583
Clinical Trials in a Dish: A Perspective on the Coming Revolution in Drug Development.
Fermini, Bernard; Coyne, Shawn T; Coyne, Kevin P
2018-05-01
The pharmaceutical industry is facing unprecedented challenges as the cost of developing new drugs has reached unsustainable levels, fueled in large parts by a high attrition rate in clinical development. Strategies to bridge studies between preclinical testing and clinical trials are needed to reduce the knowledge gap and allow earlier decisions to be made on the continuation or discontinuation of further development of drugs. The discovery and development of human induced pluripotent stem cells (hiPSCs) have opened up new avenues that support the concept of screening for cell-based safety and toxicity at the level of a population. This approach, termed "Clinical Trials in a Dish" (CTiD), allows testing medical therapies for safety or efficacy on cells collected from a representative sample of human patients, before moving into actual clinical trials. It can be applied to the development of drugs for specific populations, and it allows predicting not only the magnitude of effects but also the incidence of patients in a population who will benefit or be harmed by these drugs. This, in turn, can lead to the selection of safer drugs to move into clinical development, resulting in a reduction in attrition. The current article offers a perspective of this new model for "humanized" preclinical drug development.
Kovacs, Zsolt; Kardos, Julianna; Kekesi, Katalin A; Juhasz, Gabor; Lakatos, Renata; Heja, Laszlo
2015-01-01
One-third of epileptic patients are drug refractory due to the limited efficacy of antiepileptic therapy. Thus, there is an immense need to find more effective, safer and well-tolerated antiepileptic drugs. A great deal of results suggests that adenosine (Ado), guanosine (Guo), inosine (Ino) or uridine (Urd) are endogenous antiepileptogenic modulators. Furthermore, nucleosides and their derivatives may be safe and effective potential drugs in the treatment of epilepsy. Conversely, nucleosidergic modulatory system implying nucleoside levels, metabolism, receptors and transporters may also be involved in seizure pathomechanisms. Application of Ado receptor agonists as well as antagonists, elevation of nucleoside levels (e.g., by nucleoside metabolism inhibitors, and Adoreleasing implants) or utilization of non-Ado nucleosides may also turn to be useful approaches to decrease epileptic activity. However, all drugs exerting their effects on the nucleosidergic modulatory system may affect the fine regulation of glia-neuron interactions that are intimately governed by various nucleosidergic processes. Perturbation of the complex, bidirectional communication between neurons and astrocytes through these nucleosidergic modulatory mechanisms may lead to pathological changes in the central nervous system (CNS) and therefore may cause significant side effects. Thus, a deeper understanding of the nucleosidergic modulatory control over glia-neuron interactions is essential in order to develop more effective and safe nucleoside-based antiepileptic drugs. In this review article we focus on the role of Ado and Urd in glia-neuron interactions, placing emphasis on their implications for the treatment of epilepsy.
Synthesis and therapeutic effect of styrene–maleic acid copolymer-conjugated pirarubicin
Tsukigawa, Kenji; Liao, Long; Nakamura, Hideaki; Fang, Jun; Greish, Khaled; Otagiri, Masaki; Maeda, Hiroshi
2015-01-01
Previously, we prepared a pirarubicin (THP)-encapsulated micellar drug using styrene–maleic acid copolymer (SMA) as the drug carrier, in which active THP was non-covalently encapsulated. We have now developed covalently conjugated SMA-THP (SMA-THP conjugate) for further investigation toward clinical development, because covalently linked polymer–drug conjugates are known to be more stable in circulation than drug-encapsulated micelles. The SMA-THP conjugate also formed micelles and showed albumin binding capacity in aqueous solution, which suggested that this conjugate behaved as a macromolecule during blood circulation. Consequently, SMA-THP conjugate showed significantly prolonged circulation time compared to free THP and high tumor-targeting efficiency by the enhanced permeability and retention (EPR) effect. As a result, remarkable antitumor effect was achieved against two types of tumors in mice without apparent adverse effects. Significantly, metastatic lung tumor also showed the EPR effect, and this conjugate reduced metastatic tumor in the lung almost completely at 30 mg/kg once i.v. (less than one-fifth of the maximum tolerable dose). Although SMA-THP conjugate per se has little cytotoxicity in vitro (1/100 of free drug THP), tumor-targeted accumulation by the EPR effect ensures sufficient drug concentrations in tumor to produce an antitumor effect, whereas toxicity to normal tissues is much less. These findings suggest the potential of SMA-THP conjugate as a highly favorable candidate for anticancer nanomedicine with good stability and tumor-targeting properties in vivo. PMID:25529761
Nascimento, Fernanda R; Moura, Tiago A; Baeta, Jefferson V P B; Publio, Bruno C; Ferreira, Pollyanna M F; Santos, Anésia A; França, Andressa A P; Rocha, Marcio S; Diaz-Muñoz, Gaspar; Diaz, Marisa A N
2018-08-01
Melanoma accounts for only 4% of all skin cancers but is among the most lethal cutaneous neoplasms. Dacarbazine is the drug of choice for the treatment of melanoma in Brazil through the public health system mainly because of its low cost. However, it is an alkylating agent of low specificity and elicits a therapeutic response in only 20% of cases. Other drugs available for the treatment of melanoma are expensive, and tumor cells commonly develop resistance to these drugs. The fight against melanoma demands novel, more specific drugs that are effective in killing drug-resistant tumor cells. Dibenzoylmethane (1,3-diphenylpropane-1,3-dione) derivatives are promising antitumor agents. In this study, we investigated the cytotoxic effect of 1,3-diphenyl-2-benzyl-1,3-propanedione (DPBP) on B16F10 melanoma cells as well as its direct interaction with the DNA molecule using optical tweezers. DPBP showed promising results against tumor cells and had a selectivity index of 41.94. Also, we demonstrated the ability of DPBP to interact directly with the DNA molecule. The fact that DPBP can interact with DNA in vitro allows us to hypothesize that such an interaction may also occur in vivo and, therefore, that DPBP may be an alternative to treat patients with drug-resistant melanomas. These findings can guide the development of new and more effective drugs. Published by Elsevier B.V.
Mertens, Lea Julia; Witt, Juri-Alexander; Helmstaedter, Christoph
2018-06-01
Behavioral problems and psychiatric symptoms are common in patients with epilepsy and have a multifactorial origin, including adverse effects of antiepileptic drugs (AEDs). In order to develop a screening tool for behavioral AED effects, the aim of this study was to identify behavioral problems and symptoms particularly sensitive to AED drug load and the presence/absence of AEDs with known negative psychotropic profiles. Four hundred ninety-four patients with epilepsy were evaluated who had been assessed with three self-report questionnaires on mood, personality, and behavior (Beck Depression Inventory, BDI; Neurological Disorders Depression Inventory for Epilepsy extended, NDDI-E; and Fragebogen zur Persönlichkeit bei zerebralen Erkrankungen, FPZ). Drug-sensitive items were determined via correlation analyses and entered into an exploratory factor analysis for scale construction. The resulting scales were then analyzed as a function of drug treatment. Analyses revealed 30 items, which could be allocated to six behavioral domains: Emotional Lability, Depression, Aggression/Irritability, Psychosis & Suicidality, Risk- & Sensation-seeking, and Somatization. Subsequent analysis showed significant effects of the number of AEDs on behavior, as in Emotional Lability (F=2.54, p=.029), Aggression/Irritability (F=2.29, p=.046), Psychosis & Suicidality (F=2.98, p=.012), and Somatization (F=2.39, p=.038). Affective and behavioral difficulties were more prominent in those patients taking AEDs with supposedly negative psychotropic profiles. These effects were largely domain-unspecific and primarily manifested in polytherapy. Drug-sensitive behavioral domains and items were identified which qualify for a self-report screening tool. The tool indicates impairments with a higher drug load and when administering AEDs with negative psychotropic profiles. The next steps require normalization in healthy subjects and the clinical validation of the newly developed screening tool PsyTrack along with antiepileptic drug treatment. Copyright © 2018 Elsevier Inc. All rights reserved.
[The development of novel tumor targeting delivery strategy].
Gao, Hui-le; Jiang, Xin-guo
2016-02-01
Tumor is one of the most serious threats for human being. Although many anti-tumor drugs are approved for clinical use, the treatment outcome is still modest because of the poor tumor targeting efficiency and low accumulation in tumor. Therefore, it is important to deliver anti-tumor drug into tumor efficiently, elevate drug concentration in tumor tissues and reduce the drug distribution in normal tissues. And it has been one of the most attractive directions of pharmaceutical academy and industry. Many kinds of strategies, especially various nanoparticulated drug delivery systems, have been developed to address the critical points of complex tumor microenvironment, which are partially or mostly satisfied for tumor treatment. In this paper, we carefully reviewed the novel targeting delivery strategies developed in recent years. The most powerful method is passive targeting delivery based on the enhanced permeability and retention(EPR) effect, and most commercial nanomedicines are based on the EPR effect. However, the high permeability and retention require different particle sizes, thus several kinds of size-changeable nanoparticles are developed, such as size reducible particles and assemble particles, to satisfy the controversial requirement for particle size and enhance both tumor retention and penetration. Surface charge reversible nanoparticles also shows a high efficiency because the anionic charge in blood circulation and normal organs decrease the unintended internalization. The charge can change into positive in tumor microenvironment, facilitating drug uptake by tumor cells. Additionally, tumor microenvironment responsive drug release is important to decrease drug side effect, and many strategies are developed, such as p H sensitive release and enzyme sensitive release. Except the responsive nanoparticles, shaping tumor microenvironment could attenuate the barriers in drug delivery, for example, decreasing tumor collagen intensity and normalizing tumor microvessels to decrease the internal fluid pressure. All these strategies could enhance the accumulation and penetration of nanoparticles into tumor, leading to a homogenous distribution of drugs in tumor. To enhance the internalization by specific cells, active targeting delivery strategies are developed. There were many surface markers, receptors or carriers overexpressed on specific kinds of cells, thus the corresponding ligands were utilized to mediate active targeting to certain cells, including tumor cells, cancer stem cells, tumor neovasculatures, tumor associated macrophages and other tumor stroma cells. Targeting more than one cell type may provide an improved antitumor effect. Although these passive and active targeting strategies all have promising outcome in the treatment of tumor, some shortages are still unaddressed, such as the specificity of responsive is not good enough, and the active targeting may be diminished by the protein corona. Thus more research is required to promote the drug delivery study.
Computational Approaches to Drug Repurposing and Pharmacology
Hodos, Rachel A; Kidd, Brian A; Khader, Shameer; Readhead, Ben P; Dudley, Joel T
2016-01-01
Data in the biological, chemical, and clinical domains are accumulating at ever-increasing rates and have the potential to accelerate and inform drug development in new ways. Challenges and opportunities now lie in developing analytic tools to transform these often complex and heterogeneous data into testable hypotheses and actionable insights. This is the aim of computational pharmacology, which uses in silico techniques to better understand and predict how drugs affect biological systems, which can in turn improve clinical use, avoid unwanted side effects, and guide selection and development of better treatments. One exciting application of computational pharmacology is drug repurposing- finding new uses for existing drugs. Already yielding many promising candidates, this strategy has the potential to improve the efficiency of the drug development process and reach patient populations with previously unmet needs such as those with rare diseases. While current techniques in computational pharmacology and drug repurposing often focus on just a single data modality such as gene expression or drug-target interactions, we rationalize that methods such as matrix factorization that can integrate data within and across diverse data types have the potential to improve predictive performance and provide a fuller picture of a drug's pharmacological action. PMID:27080087
Drug-nutrient interaction in clinical nutrition.
Chan, Lingtak-Neander
2002-05-01
Drug-nutrient interactions have been recognized for decades. It is known that improper management of some of these interactions may lead to therapeutic failure or cause serious adverse effects to the patients. While most of the known drug-nutrient interactions involve changes in oral bioavailabilities and absorption of the offending compounds, recent investigations suggest that different mechanisms also exist. A mechanism-derived classification system for drug-nutrient interactions has only recently been developed. This system should facilitate the future research and development of practice guidelines in the identification and management of important interactions.
Relating drug–protein interaction network with drug side effects
Mizutani, Sayaka; Pauwels, Edouard; Stoven, Véronique; Goto, Susumu; Yamanishi, Yoshihiro
2012-01-01
Motivation: Identifying the emergence and underlying mechanisms of drug side effects is a challenging task in the drug development process. This underscores the importance of system–wide approaches for linking different scales of drug actions; namely drug-protein interactions (molecular scale) and side effects (phenotypic scale) toward side effect prediction for uncharacterized drugs. Results: We performed a large-scale analysis to extract correlated sets of targeted proteins and side effects, based on the co-occurrence of drugs in protein-binding profiles and side effect profiles, using sparse canonical correlation analysis. The analysis of 658 drugs with the two profiles for 1368 proteins and 1339 side effects led to the extraction of 80 correlated sets. Enrichment analyses using KEGG and Gene Ontology showed that most of the correlated sets were significantly enriched with proteins that are involved in the same biological pathways, even if their molecular functions are different. This allowed for a biologically relevant interpretation regarding the relationship between drug–targeted proteins and side effects. The extracted side effects can be regarded as possible phenotypic outcomes by drugs targeting the proteins that appear in the same correlated set. The proposed method is expected to be useful for predicting potential side effects of new drug candidate compounds based on their protein-binding profiles. Supplementary information: Datasets and all results are available at http://web.kuicr.kyoto-u.ac.jp/supp/smizutan/target-effect/. Availability: Software is available at the above supplementary website. Contact: yamanishi@bioreg.kyushu-u.ac.jp, or goto@kuicr.kyoto-u.ac.jp PMID:22962476
NASA Technical Reports Server (NTRS)
Bakay, E. A.
1980-01-01
Various drugs are discussed and many references are mentioned. It was concluded that the development of methods of pharmacological prevention of the harmful effect of drugs on the auditory analyzor is a necessity.
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents
2010-01-01
Background Drug-drug interactions are frequently reported in the increasing amount of biomedical literature. Information Extraction (IE) techniques have been devised as a useful instrument to manage this knowledge. Nevertheless, IE at the sentence level has a limited effect because of the frequent references to previous entities in the discourse, a phenomenon known as 'anaphora'. DrugNerAR, a drug anaphora resolution system is presented to address the problem of co-referring expressions in pharmacological literature. This development is part of a larger and innovative study about automatic drug-drug interaction extraction. Methods The system uses a set of linguistic rules drawn by Centering Theory over the analysis provided by a biomedical syntactic parser. Semantic information provided by the Unified Medical Language System (UMLS) is also integrated in order to improve the recognition and the resolution of nominal drug anaphors. Besides, a corpus has been developed in order to analyze the phenomena and evaluate the current approach. Each possible case of anaphoric expression was looked into to determine the most effective way of resolution. Results An F-score of 0.76 in anaphora resolution was achieved, outperforming significantly the baseline by almost 73%. This ad-hoc reference line was developed to check the results as there is no previous work on anaphora resolution in pharmalogical documents. The obtained results resemble those found in related-semantic domains. Conclusions The present approach shows very promising results in the challenge of accounting for anaphoric expressions in pharmacological texts. DrugNerAr obtains similar results to other approaches dealing with anaphora resolution in the biomedical domain, but, unlike these approaches, it focuses on documents reflecting drug interactions. The Centering Theory has proved being effective at the selection of antecedents in anaphora resolution. A key component in the success of this framework is the analysis provided by the MMTx program and the DrugNer system that allows to deal with the complexity of the pharmacological language. It is expected that the positive results of the resolver increases performance of our future drug-drug interaction extraction system. PMID:20406499
Abadi, Shaivad Shabee Hulhasan; Moin, Afrasim; Veerabhadrappa, Gangadharappa Hosahalli
2016-01-01
Microparticles are polymeric bodies ranging 1-1000 µm that constitute a variety of forms such as microcapsules, microspheres, microcages, microshells, microrods, biosensors microparticles, radiolabeled microparticles, and so forth. This review focuses on general microparticles, mainly microcapsules and microspheres. Nonsteriodal anti-inflammatory drugs (NSAIDs) are one of the mostcommonly prescribed medications in the world. Most of the NSAIDs available have severe side effects. With increased awareness of NSAID-induced gastrointestinal (GI) side effects, safety has become a priority in treatment of arthritis and other inflammatory diseases with NSAIDs. A trend in NSAID development has been to improve therapeutic efficacy while reducing the severity of GI side effects by altering dosage through modified release to optimize drug delivery. One such approach is the use of fabricated microparticles such as microcapsules and microspheres as carriers of drugs. Microparticles provide delivery of macromolecules and micromolecules via different routes and effectively control the release profile of such drugs. Microcapsules and microspheres are compatible with most natural and synthetic polymers and can be used for several routes of administration, including parenteral, oral, nasal, intra-ocular, topical, and the like. Because of greater stability and multiple manufacturing techniques, microspheres and microcapsules are preferred as drug carriers over other colloidal drug delivery systems. Microparticles provide effective protection of the encapsulated agent against degradation by enzymatic activities, controlled and confined delivery of drugs from a few hours to months, and ingenious administration compared to alternative forms of controlled-release parenteral dosages, such as macro-sized implants. This comprehensive overview of fabricated microparticles describes microencapsulation technologies to produce microparticles for targeted therapy of arthritis and other inflammatory diseases which provide constant and prolonged therapeutic effects that reduce dosing frequency and thereby minimize potential adverse effects of NSAIDs such as GI irritation and insufficient patient compliance. The present review describes the latest developments in microparticulate drug delivery systems and the best alternatives for safe and effective microcapsular systems in a controlled manner for the delivery of NSAIDs.
Terbinafine: novel formulations that potentiate antifungal activities.
Ma, Y; Chen, X; Guan, S
2015-03-01
Terbinafine, an orally and topically active antifungal agent, has been available for the treatment of dermatophytic infections and onychomycosis for more than a decade. In addition, oral administration has been shown to be associated with drug-drug interactions, hepatotoxicity, low concentration at the infected sites, gastrointestinal and systemic side effects and other adverse effects. Since topical drug delivery can provide higher patient compliance, allow immediate access to the infected site and reduce unwanted systemic drug exposure, an improved topical drug delivery approach with high permeability, sustained release and prolonged retainment could overcome the limitations and side effects caused by oral administration. Conventional topical formulations cannot keep the drug in the targeted sites for a long duration of time and hence a novel drug delivery that can avoid the side effects while still providing sustained efficacy in treatment should be developed. This brief review of novel formulations based on polymers and nanostructure carriers provides insight into the efficacy and topical delivery of terbinafine. Copyright 2015 Prous Science, S.A.U. or its licensors. All rights reserved.
The Frederick National Lab has begun to assist several major pharmaceutical companies in adopting nanotechnologies in early stage drug development, when the approach is most efficient and cost-effective. For some time, the national lab’s Nanotechno
Mass spectrometry-driven drug discovery for development of herbal medicine.
Zhang, Aihua; Sun, Hui; Wang, Xijun
2018-05-01
Herbal medicine (HM) has made a major contribution to the drug discovery process with regard to identifying products compounds. Currently, more attention has been focused on drug discovery from natural compounds of HM. Despite the rapid advancement of modern analytical techniques, drug discovery is still a difficult and lengthy process. Fortunately, mass spectrometry (MS) can provide us with useful structural information for drug discovery, has been recognized as a sensitive, rapid, and high-throughput technology for advancing drug discovery from HM in the post-genomic era. It is essential to develop an efficient, high-quality, high-throughput screening method integrated with an MS platform for early screening of candidate drug molecules from natural products. We have developed a new chinmedomics strategy reliant on MS that is capable of capturing the candidate molecules, facilitating their identification of novel chemical structures in the early phase; chinmedomics-guided natural product discovery based on MS may provide an effective tool that addresses challenges in early screening of effective constituents of herbs against disease. This critical review covers the use of MS with related techniques and methodologies for natural product discovery, biomarker identification, and determination of mechanisms of action. It also highlights high-throughput chinmedomics screening methods suitable for lead compound discovery illustrated by recent successes. © 2016 Wiley Periodicals, Inc.
Drug development for breast, colorectal, and non-small cell lung cancers from 1979 to 2014.
Nixon, Nancy A; Khan, Omar F; Imam, Hasiba; Tang, Patricia A; Monzon, Jose; Li, Haocheng; Sun, Gavin; Ezeife, Doreen; Parimi, Sunil; Dowden, Scot; Tam, Vincent C
2017-12-01
Understanding the drug development pathway is critical for streamlining the development of effective cancer treatments. The objective of the current study was to delineate the drug development timeline and attrition rate of different drug classes for common cancer disease sites. Drugs entering clinical trials for breast, colorectal, and non-small cell lung cancer were identified using a pharmaceutical business intelligence database. Data regarding drug characteristics, clinical trials, and approval dates were obtained from the database, clinical trial registries, PubMed, and regulatory Web sites. A total of 411 drugs met the inclusion criteria for breast cancer, 246 drugs met the inclusion criteria for colorectal cancer, and 315 drugs met the inclusion criteria for non-small cell lung cancer. Attrition rates were 83.9% for breast cancer, 87.0% for colorectal cancer, and 92.0% for non-small cell lung cancer drugs. In the case of non-small cell lung cancer, there was a trend toward higher attrition rates for targeted monoclonal antibodies compared with other agents. No tumor site-specific differences were noted with regard to cytotoxic chemotherapy, immunomodulatory, or small molecule kinase inhibitor drugs. Drugs classified as "others" in breast cancer had lower attrition rates, primarily due to the higher success of hormonal medications. Mean drug development times were 8.9 years for breast cancer, 6.7 years for colorectal cancer, and 6.6 years for non-small cell lung cancer. Overall oncologic drug attrition rates remain high, and drugs are more likely to fail in later-stage clinical trials. The refinement of early-phase trial design may permit the selection of drugs that are more likely to succeed in the phase 3 setting. Cancer 2017;123:4672-4679. © 2017 American Cancer Society. © 2017 American Cancer Society.
Is AF Ablation Cost Effective?
Martin-Doyle, William; Reynolds, Matthew R.
2010-01-01
The use of catheter ablation to treat AF is increasing rapidly, but there is presently an incomplete understanding of its cost-effectiveness. AF ablation procedures involve significant up-front expenditures, but multiple randomized trials have demonstrated that ablation is more effective than antiarrhythmic drugs at maintaining sinus rhythm in a second-line and possibly first-line rhythm control setting. Although truly long-term data are limited, ablation, as compared with antiarrrhythmic drugs, also appears associated with improved symptoms and quality of life and a reduction in downstream hospitalization and other health care resource utilization. Several groups have developed cost effectiveness models comparing AF ablation primarily to antiarrhythmic drugs and the model results suggest that ablation likely falls within the range generally accepted as cost-effective in developed nations. This paper will review available information on the cost-effectiveness of catheter ablation for the treatment of atrial fibrillation, and discuss continued areas of uncertainty where further research is required. PMID:20936083
Maeda, Hiroshi; Fang, Jun; Ulbrich, Karel; Etrych, Tomáš; Nakamura, Hideaki
2016-05-01
The enhanced permeability and retention (EPR) effect, a tumor-targeting principle of nanomedicine, serves as a standard for tumor-targeted anticancer drug design. There are 3 key issues in ideal EPR-based antitumor drug design: i) stability in blood circulation; ii) tumor-selective accumulation (EPR effect) and efficient release of the active anticancer moiety in tumor tissues; and iii) the active uptake of the active drug into tumor cells. Using these principles, we developed N-(2- hydroxypropyl)methacrylamide (HPMA) copolymer-conjugated pirarubicin (P-THP), which uses hydrazone bond linkage; it was shown to exhibit prolonged circulation time, thereby resulting in good tumor-selective accumulation. More importantly, the hydrazone bond ensured selective and rapid release of the active drug, pirarubicin (THP), in acidic tumor environments. Further, compared to other anthracycline anticancer drugs (eg, doxorubicin), THP demonstrated more rapid intracellular uptake. Consequently, P-THP showed remarkable antitumor effect with minimal side effects. In a clinical pilot study of a stage IV prostate cancer patient with multiple metastases in the lung and bone, P-THP (50-75 mg administered once every 2-3 weeks) was shown to clear the metastatic nodules in the lung almost completely after 3 treatments where 50-70 mg THP equivalent each was administerd per 70 kg body wt, and bone metastasis disappeared after 6 months. There was no recurrence after 2 years. The patient also retained an excellent quality of life during the treatment without any apparent side effects. Thus, we propose the clinical development of P-THP as an EPR-based tumor-targeted anticancer drug.
Application of Chitosan and its Derivatives in Nanocarrier Based Pulmonary Drug Delivery Systems.
Dua, Kamal; Bebawy, Mary; Awasthi, Rajendra; Tekade, Rakesh K; Tekade, Muktika; Gupta, Gaurav; De Jesus Andreoli Pinto, Terezinha; Hansbro, Philip M
2017-01-01
The respiratory tract as a non-invasive route of drug administration is gaining increasing attention in the present time on achieving both local and the systemic therapeutic effects. Success in achieving pulmonary delivery, requires overcoming barriers including mucociliary clearance and uptake by macrophages. An effective drug delivery system delivers the therapeutically active moieties at the right time and rate to target sites. A major limitation associated with most of the currently available conventional and controlled release drug delivery devices is that not all the drug candidates are well absorbed uniformly locally or systemically. We searched and reviewed the literature focusing on chitosan and chitosan derivative based nanocarrier systems used in pulmonary drug delivery. We focused on the applications of chitosan in the development of nanoparticles for this purpose. Chitosan, a natural linear bio-polyaminosaccharide is central in the development of novel drug delivery systems (NDDS) including nanoparticles for use in the treatment of various respiratory diseases. It achieves this through its unique properties of biodegradability, biocompatibility, mucoadhesivity and its ability to enhance macromolecule permeation across membranes. It also achieves sustained and targeted effects, primary requirements for an effective pulmonary drug delivery system. This review highlights the applications and importance of chitosan with special emphasis on nanotechnology, employed in the management of respiratory diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), lung cancer and pulmonary fibrosis. This review will be of interest to both the biological and formulation scientists as it provides a summary on the utility of chitosan in pulmonary drug delivery systems. At present, there are no patented chitosan based controlled release products available for pulmonary drug delivery and so this area has enormous potential in the field of respiratory science. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Sharma, Charu; Sadek, Bassem; Goyal, Sameer N.; Sinha, Satyesh; Ojha, Shreesh
2015-01-01
The cannabinoid molecules are derived from Cannabis sativa plant which acts on the cannabinoid receptors types 1 and 2 (CB1 and CB2) which have been explored as potential therapeutic targets for drug discovery and development. Currently, there are numerous cannabinoid based synthetic drugs used in clinical practice like the popular ones such as nabilone, dronabinol, and Δ9-tetrahydrocannabinol mediates its action through CB1/CB2 receptors. However, these synthetic based Cannabis derived compounds are known to exert adverse psychiatric effect and have also been exploited for drug abuse. This encourages us to find out an alternative and safe drug with the least psychiatric adverse effects. In recent years, many phytocannabinoids have been isolated from plants other than Cannabis. Several studies have shown that these phytocannabinoids show affinity, potency, selectivity, and efficacy towards cannabinoid receptors and inhibit endocannabinoid metabolizing enzymes, thus reducing hyperactivity of endocannabinoid systems. Also, these naturally derived molecules possess the least adverse effects opposed to the synthetically derived cannabinoids. Therefore, the plant based cannabinoid molecules proved to be promising and emerging therapeutic alternative. The present review provides an overview of therapeutic potential of ligands and plants modulating cannabinoid receptors that may be of interest to pharmaceutical industry in search of new and safer drug discovery and development for future therapeutics. PMID:26664449
Chen, Haiqi; Mruk, Dolores D.; Xia, Weiliang; Bonanomi, Michele; Silvestrini, Bruno; Cheng, Chuen-Yan
2016-01-01
The blood-testis barrier (BTB) is one of the tightest blood-tissue barriers in the mammalian body. It divides the seminiferous epithelium of the seminiferous tubule, the functional unit of the testis, where spermatogenesis takes place, into the basal and the adluminal (apical) compartments. Functionally, the BTB provides a unique microenvironment for meiosis I/II and post-meiotic spermatid development which take place exclusively in the apical compartment, away from the host immune system, and it contributes to the immune privilege status of testis. However, the BTB also poses major obstacles in developing male contraceptives (e.g., adjudin) that exert their effects on germ cells in the apical compartment, such as by disrupting spermatid adhesion to the Sertoli cell, causing germ cell exfoliation from the testis. Besides the tight junction (TJ) between adjacent Sertoli cells at the BTB that restricts the entry of contraceptives from the microvessels in the interstitium to the adluminal compartment, drug transporters, such as P-glycoprotein and multidrug resistance-associated protein 1 (MRP1), are also present that actively pump drugs out of the testis, limiting drug bioavailability. Recent advances in drug formulations, such as drug particle micronization (<50 μm) and co-grinding of drug particles with ß-cyclodextrin have improved bioavailability of contraceptives via considerable increase in solubility. Herein, we discuss development in drug formulations using adjudin as an example. We also put emphasis on the possible use of nanotechnology to deliver adjudin to the apical compartment with multidrug magnetic mesoporous silica nanoparticles. These advances in technology will significantly enhance our ability to develop effective non-hormonal male contraceptives for men. PMID:26758796
Chen, Haiqi; Mruk, Dolores D; Xia, Weiliang; Bonanomi, Michele; Silvestrini, Bruno; Cheng, Chuen-Yan
2016-01-01
The blood-testis barrier (BTB) is one of the tightest blood-tissue barriers in the mammalian body. It divides the seminiferous epithelium of the seminiferous tubule, the functional unit of the testis, where spermatogenesis takes place, into the basal and the adluminal (apical) compartments. Functionally, the BTB provides a unique microenvironment for meiosis I/II and post-meiotic spermatid development which take place exclusively in the apical compartment, away from the host immune system, and it contributes to the immune privilege status of testis. However, the BTB also poses major obstacles in developing male contraceptives (e.g., adjudin) that exert their effects on germ cells in the apical compartment, such as by disrupting spermatid adhesion to the Sertoli cell, causing germ cell exfoliation from the testis. Besides the tight junction (TJ) between adjacent Sertoli cells at the BTB that restricts the entry of contraceptives from the microvessels in the interstitium to the adluminal compartment, drug transporters, such as P-glycoprotein and multidrug resistance-associated protein 1 (MRP1), are also present that actively pump drugs out of the testis, limiting drug bioavailability. Recent advances in drug formulations, such as drug particle micronization (<50 μm) and co-grinding of drug particles with ß-cyclodextrin have improved bioavailability of contraceptives via considerable increase in solubility. Herein, we discuss development in drug formulations using adjudin as an example. We also put emphasis on the possible use of nanotechnology to deliver adjudin to the apical compartment with multidrug magnetic mesoporous silica nanoparticles. These advances in technology will significantly enhance our ability to develop effective non-hormonal male contraceptives for men.
Adjuvants for Vaccines to Drugs of Abuse and Addiction
Alving, Carl R.; Matyas, Gary R.; Torres, Oscar; Jalah, Rashmi; Beck, Zoltan
2015-01-01
Immunotherapeutic vaccines to drugs of abuse, including nicotine, cocaine, heroin, oxycodone, methamphetamine, and others are being developed. The theoretical basis of such vaccines is to induce antibodies that sequester the drug in the blood in the form of antibody-bound drug that cannot cross the blood brain barrier, thereby preventing psychoactive effects. Because the drugs are haptens a successful vaccine relies on development of appropriate hapten-protein carrier conjugates. However, because induction of high and prolonged levels of antibodies is required for an effective vaccine, and because injection of T-independent haptenic drugs of abuse does not induce memory recall responses, the role of adjuvants during immunization plays a critical role. As reviewed herein, preclinical studies often use strong adjuvants such as complete and incomplete Freund's adjuvant and others that cannot be, or in the case of many newer adjuvants, have never been, employed in humans. Balanced against this, the only adjuvant that has been included in candidate vaccines in human clinical trials to nicotine and cocaine has been aluminum hydroxide gel. While aluminum salts have been widely utilized worldwide in numerous licensed vaccines, the experience with human responses to aluminum salt-adjuvanted vaccines to haptenic drugs of abuse has suggested that the immune responses are too weak to allow development of a successful vaccine. What is needed is an adjuvant or combination of adjuvants that are safe, potent, widely available, easily manufactured, and cost-effective. Based on our review of the field we recommend the following adjuvant combinations either for research or for product development for human use: aluminum salt with adsorbed monophosphoryl lipid A (MPLA); liposomes containing MPLA [L(MPLA)]; L(MPLA) adsorbed to aluminum salt; oil-in-water emulsion; or oil-in-water emulsion containing MPLA. PMID:25111169
EMERGING MICROTECHNOLOGIES FOR THE DEVELOPMENT OF ORAL DRUG DELIVERY DEVICES
Chirra, Hariharasudhan D.; Desai, Tejal A.
2012-01-01
The development of oral drug delivery platforms for administering therapeutics in a safe and effective manner across the gastrointestinal epithelium is of much importance. A variety of delivery systems such as enterically coated tablets, capsules, particles, and liposomes have been developed to improve oral bioavailability of drugs. However, orally administered drugs suffer from poor localization and therapeutic efficacy due to various physiological conditions such as low pH, and high shear intestinal fluid flow. Novel platforms combining controlled release, improved adhesion, tissue penetration, and selective intestinal targeting may overcome these issues and potentially diminish the toxicity and high frequency of administration associated with conventional oral delivery. Microfabrication along with appropriate surface chemistry, provide a means to fabricate these platforms en masse with flexibility in tailoring the shape, size, reservoir volume, and surface characteristics of microdevices. Moreover, the same technology can be used to include integrated circuit technology and sensors for designing sophisticated autonomous drug delivery devices that promise to significantly improve point of care diagnostic and therapeutic medical applications. This review sheds light on some of the fabrication techniques and addresses a few of the microfabricated devices that can be effectively used for controlled oral drug delivery applications. PMID:22981755
Pharmacogenomic Approaches for Automated Medication Risk Assessment in People with Polypharmacy
Liu, Jiazhen; Friedman, Carol; Finkelstein, Joseph
2018-01-01
Abstract Medication regimen may be optimized based on individual drug efficacy identified by pharmacogenomic testing. However, majority of current pharmacogenomic decision support tools provide assessment only of single drug-gene interactions without taking into account complex drug-drug and drug-drug-gene interactions which are prevalent in people with polypharmacy and can result in adverse drug events or insufficient drug efficacy. The main objective of this project was to develop comprehensive pharmacogenomic decision support for medication risk assessment in people with polypharmacy that simultaneously accounts for multiple drug and gene effects. To achieve this goal, the project addressed two aims: (1) development of comprehensive knowledge repository of actionable pharmacogenes; (2) introduction of scoring approaches reflecting potential adverse effect risk levels of complex medication regimens accounting for pharmacogenomic polymorphisms and multiple drug metabolizing pathways. After pharmacogenomic knowledge repository was introduced, a scoring algorithm has been built and pilot-tested using a limited data set. The resulting total risk score for frequently hospitalized older adults with polypharmacy (72.04±17.84) was statistically significantly different (p<0.05) from the total risk score for older adults with polypharmacy with low hospitalization rate (8.98±2.37). An initial prototype assessment demonstrated feasibility of our approach and identified steps for improving risk scoring algorithms.
Advances in the development of new tuberculosis drugs and treatment regimens.
Zumla, Alimuddin; Nahid, Payam; Cole, Stewart T
2013-05-01
Despite the introduction 40 years ago of the inexpensive and effective four-drug (isoniazid, rifampicin, pyrazinamide and ethambutol) treatment regimen, tuberculosis (TB) continues to cause considerable morbidity and mortality worldwide. For the first time since the 1960s, new and novel drugs and regimens for all forms of TB are emerging. Such regimens are likely to utilize both repurposed drugs and new chemical entities, and several of these regimens are now progressing through clinical trials. This article covers current concepts and recent advances in TB drug discovery and development, including an update of ongoing TB treatment trials, newer clinical trial designs, TB biomarkers and adjunct host-directed therapies.
Natural products to prevent drug resistance in cancer chemotherapy: a review.
Yuan, Renyikun; Hou, Ying; Sun, Wen; Yu, Jie; Liu, Xin; Niu, Yanan; Lu, Jin-Jian; Chen, Xiuping
2017-08-01
Chemotherapy is the standard internal medical treatment for cancer. However, the resistance of cancer cells to nearly all kinds of chemotherapeutic drugs and targeted drugs has become prevalent, and approximately 80-90% of deaths in cancer patients are directly or indirectly attributed to drug resistance. The progress of new drug research and development has also been impeded by the occurrence of drug resistance, which has emerged as a considerable challenge in cancer therapy. Fortunately, natural products with diverse chemical structures and pharmacological effects serve as effective substances against drug resistance. Since the discovery of a series of drug-resistant proteins, drug-efflux inhibition has been applied as the primary strategy to overcome drug resistance by maintaining the intracellular concentrations of chemotherapeutic drugs. Nonapoptotic cell death is considered an alternative strategy because most cases of drug resistance result in evasion and insensitivity to apoptosis. In this concise review, we summarize two strategies using natural products against drug resistance. © 2017 New York Academy of Sciences.
A mathematical model for CTL effect on a latently infected cell inclusive HIV dynamics and treatment
NASA Astrophysics Data System (ADS)
Tarfulea, N. E.
2017-10-01
This paper investigates theoretically and numerically the effect of immune effectors, such as the cytotoxic lymphocyte (CTL), in modeling HIV pathogenesis (via a newly developed mathematical model); our results suggest the significant impact of the immune response on the control of the virus during primary infection. Qualitative aspects (including positivity, boundedness, stability, uncertainty, and sensitivity analysis) are addressed. Additionally, by introducing drug therapy, we analyze numerically the model to assess the effect of treatment consisting of a combination of several antiretroviral drugs. Our results show that the inclusion of the CTL compartment produces a higher rebound for an individual's healthy helper T-cell compartment than drug therapy alone. Furthermore, we quantitatively characterize successful drugs or drug combination scenarios.
Shao, Wei; Paul, Arghya; Rodes, Laetitia; Prakash, Satya
2015-04-01
Paclitaxel (PTX) is one of the most important drugs for breast cancer; however, the drug effects are limited by its systematic toxicity and poor water solubility. Nanoparticles have been applied for delivery of cancer drugs to overcome their limitations. Toward this goal, a novel single-walled carbon nanotube (SWNT)-based drug delivery system was developed by conjugation of human serum albumin (HSA) nanoparticles for loading of antitumor agent PTX. The nanosized macromolecular SWNT-drug carrier (SWNT-HSA) was characterized by TEM, UV-Vis-NIR spectrometry, and TGA. The SWNT-based drug carrier displayed high intracellular delivery efficiency (cell uptake rate of 80%) in breast cancer MCF-7 cells, as examined by fluorescence-labeled drug carriers, suggesting the needle-shaped SWNT-HSA drug carrier was able to transport drugs across cell membrane despite its macromolecular structure. The drug loading on SWNT-based drug carrier was through high binding affinity of PTX to HSA proteins. The PTX formulated with SWNT-HSA showed greater growth inhibition activity in MCF-7 breast cancer cells than PTX formulated with HSA nanoparticle only (cell viability of 63 vs 70% in 48 h and 53 vs 62% in 72 h). The increased drug efficacy could be driven by SWNT-mediated cell internalization. These data suggest that the developed SWNT-based antitumor agent is functional and effective. However, more studies for in vivo drug delivery efficacy and other properties are needed before this delivery system can be fully realized.
NASA Astrophysics Data System (ADS)
Li, Yongqiang
Sulfopropyl dextran sulfate (SP-DS) microspheres and polymer-lipid hybrid nanoparticles (PLN) for the delivery of water-soluble anticancer drugs and P-glycoprotein inhibitors were developed by our group recently and demonstrated effectiveness in local chemotherapy. To optimize the delivery performance of these particulate systems, particularly PLN, an integrated multidisciplinary approach was developed, based on an in-depth understanding of drug-excipient interactions, internal structure, drug loading and release mechanisms, and application of advanced modeling/optimization techniques. An artificial neural networks (ANN) simulator capable of formulation optimization and drug release prediction was developed. In vitro drug release kinetics of SP-DS microspheres, with various drug loading and in different release media, were predicted by ANN. The effects of independent variables on drug release were evaluated. Good modeling performance suggested that ANN is a useful tool to predict drug release from ion-exchange microspheres. To further improve the performance of PLN, drug-polymer-lipid interactions were characterized theoretically and experimentally using verapamil hydrochloride (VRP) as a model drug and dextran sulfate sodium (DS) as a counter-ion polymer. VRP-DS complexation followed a stoichiometric rule and solid-state transformation of VRP were observed. Dodecanoic acid (DA) was identified as the lead lipid carrier material. Based upon the optimized drug-polymer-lipid interactions, PLN with high drug loading capacity (36%, w/w) and sustained release without initial burst release were achieved. VRP remained amorphous and was molecularly dispersed within PLN. H-bonding contributed to the miscibility between the VRP-DS complex and DA. Drug release from PLN was mainly controlled by diffusion and ion-exchange processes. Drug loading capacity and particle size of PLN depend on the formulation factors of the weight ratio of drug to lipid and concentrations of surfactants applied. A three-factor spherical composite experimental design was used to map the cause-and-effect relationship. PLN with high drug loading efficiency (92%) and small particle size (100 nm) were predicted by ANN and confirmed by experiment. The roles of various factors on the properties of PLN were also investigated. In summary, this thesis demonstrates that an integrated multidisciplinary strategy ranging from preformulation to formulation to optimization is suitable for the rational design of SP-DS microspheres and PLN with desired properties.
Koshkina, E A; Kirzhanova, V V; Babicheva, L P; Mugantseva, L A
2013-01-01
The authors studied changes in the structure of drug addiction services, the dynamics of outpatient and inpatient referrals for drug addiction treatment and effectiveness of drug addiction services in 2011 compared to the preceding period. There was a reduction of availability of drug treatment services due to the reduction of the number of drug addiction units and the depletion of human resource potential. The lack of structural development of rehabilitation sector of drug care services and low rates of its development as well as the decrease in the number of patients seeking treatment are highlighted. It has been concluded that the drug addiction services require reorganization of its regulatory and legal framework and need innovative organizational and management decisions and human resources trained in innovative thinking and technologies.
Rapamycin prevents drug seeking via disrupting reconsolidation of reward memory in rats.
Lin, Jue; Liu, Lingqi; Wen, Quan; Zheng, Chunming; Gao, Yang; Peng, Shuxian; Tan, Yalun; Li, Yanqin
2014-01-01
The maladaptive drug memory developed between the drug-rewarding effect and environmental cues contributes to difficulty in preventing drug relapse. Established reward memories can be disrupted by pharmacologic interventions following their reactivation. Rapamycin, an inhibitor of mammalian target of rapamycin (mTOR) kinase, has been proved to be involved in various memory consolidation. However, it is less well characterized in drug memory reconsolidation. Using a conditioned place preference (CPP) procedure, we examined the effects of systemically administered rapamycin on reconsolidation of drug memory in rats. We found that systemically administered rapamycin (0.1 or 10 mg/kg, i.p.) after re-exposure to drug-paired environment, dose dependently decreased the expression of CPP 1 d later, and the effect lasted for up to 14 d and could not be reversed by a priming injection of morphine. The effect of rapamycin on morphine-associated memory was specific to drug-paired context, and rapamycin had no effect on subsequent CPP expression when rats were exposed to saline-paired context or homecage. These results indicated that systemic administration of rapamycin after memory reactivation can persistently inhibit the drug seeking behaviour via disruption of morphine memory reconsolidation in rats. Additionally, the effect of rapamycin on memory reconsolidation was reproduced in cocaine CPP and alcohol CPP. Furthermore, rapamycin did not induce conditioned place aversion and had no effect on locomotor activity and anxiety behaviour. These findings suggest that rapamycin could erase the acquired drug CPP in rats, and that mTOR activity plays an important role in drug reconsolidation and is required for drug relapse.
Influence of Tridax procumbens on lysyl oxidase activity and wound healing.
Udupa, S L; Udupa, A L; Kulkarni, D R
1991-08-01
The effects of an indigenous drug, Tridax procumbens L. (Compositae), on developing granulation tissue in rats were studied. Subcutaneously harvested granuloma tissue formed on dead space wound was removed at 4 day intervals up to 32 days of wounding. Lysyl oxidase activity, protein content, specific activity, and breaking strength were all increased in drug-treated animals as compared to controls. A fall in the lysyl oxidase activity was observed in drug-treated animals after day 8. The drug may be having a dual role: one a stimulatory (direct) effect in the initial phase of wound healing and the other a depressant (indirect) effect in the later stage.
High-Throughput Screening of Ototoxic and Otoprotective Pharmacological Drugs
ERIC Educational Resources Information Center
Kalinec, Federico
2005-01-01
Drug ototoxicity research has relied traditionally on animal models for the discovery and development of therapeutic interventions. More than 50 years of research, however, has delivered few--if any--successful clinical strategies for preventing or ameliorating the ototoxic effects of common pharmacological drugs such as aminoglycoside…
Nagano, Kazuya; Tsutsumi, Yasuo
2016-01-01
Attempts are being made to develop therapeutic proteins for cancer, hepatitis, and autoimmune conditions, but their clinical applications are limited, except in the cases of drugs based on erythropoietin, granulocyte colony-stimulating factor, interferon-alpha, and antibodies, owing to problems with fundamental technologies for protein drug discovery. It is difficult to identify proteins useful as therapeutic seeds or targets. Another problem in using bioactive proteins is pleiotropic actions through receptors, making it hard to elicit desired effects without side effects. Additionally, bioactive proteins have poor therapeutic effects owing to degradation by proteases and rapid excretion from the circulatory system. Therefore, it is essential to establish a series of novel drug delivery systems (DDS) to overcome these problems. Here, we review original technologies in DDS. First, we introduce antibody proteomics technology for effective selection of proteins useful as therapeutic seeds or targets and identification of various kinds of proteins, such as cancer-specific proteins, cancer metastasis-related proteins, and a cisplatin resistance-related protein. Especially Ephrin receptor A10 is expressed in breast tumor tissues but not in normal tissues and is a promising drug target potentially useful for breast cancer treatment. Moreover, we have developed a system for rapidly creating functional mutant proteins to optimize the seeds for therapeutic applications and used this system to generate various kinds of functional cytokine muteins. Among them, R1antTNF is a TNFR1-selective antagonistic mutant of TNF and is the first mutein converted from agonist to antagonist. We also review a novel polymer-conjugation system to improve the in vivo stability of bioactive proteins. Site-specific PEGylated R1antTNF is uniform at the molecular level, and its bioactivity is similar to that of unmodified R1antTNF. In the future, we hope that many innovative protein drugs will be developed by combining these technologies.
Zhang, Zhiling; Nix, Camilla A.; Ercan, Utku K.; Gerstenhaber, Jonathan A.; Joshi, Suresh G.; Zhong, Yinghui
2014-01-01
Infection and inflammation are common complications that seriously affect the functionality and longevity of implanted medical implants. Systemic administration of antibiotics and anti-inflammatory drugs often cannot achieve sufficient local concentration to be effective, and elicits serious side effects. Local delivery of therapeutics from drug-eluting coatings presents a promising solution. However, hydrophobic and thick coatings are commonly used to ensure sufficient drug loading and sustained release, which may limit tissue integration and tissue device communications. A calcium-mediated drug delivery mechanism was developed and characterized in this study. This novel mechanism allows controlled, sustained release of minocycline, an effective antibiotic and anti-inflammatory drug, from nanoscale thin hydrophilic polyelectrolyte multilayers for over 35 days at physiologically relevant concentrations. pH-responsive minocycline release was observed as the chelation between minocycline and Ca2+ is less stable at acidic pH, enabling ‘smart’ drug delivery in response to infection and/or inflammation-induced tissue acidosis. The release kinetics of minocycline can be controlled by varying initial loading, Ca2+ concentration, and Ca2+ incorporation into different layers, enabling facile development of implant coatings with versatile release kinetics. This drug delivery platform can potentially be used for releasing any drug that has high Ca2+ binding affinity, enabling its use in a variety of biomedical applications. PMID:24409292
Combination of Anti-angiogenesis with Chemotherapy for More Effective Cancer Treatment*
Ma, Jie; Waxman, David J.
2008-01-01
Angiogenesis is a hallmark of tumor development and metastasis and is now a validated target for cancer treatment. Overall, however, the survival benefits of anti-angiogenic drugs have, thus far, been rather modest, stimulating interest in developing more effective ways to combine anti-angiogenic drugs with established chemotherapies. This review discusses recent progress and emerging challenges in this field; interactions between anti-angiogenic drugs and conventional chemotherapeutic agents are examined, and strategies for the optimization of combination therapies are discussed. Anti-angiogenic drugs such as the anti-VEGF antibody bevacizumab can induce a functional normalization of the tumor vasculature that is transient and can potentiate the activity of co-administered chemoradiotherapies. However, chronic angiogenesis inhibition typically reduces tumor uptake of co-administered chemotherapeutics, indicating a need to explore new approaches, including intermittent treatment schedules and provascular strategies to increase chemotherapeutic drug exposure. In cases where anti-angiogenesis-induced tumor cell starvation augments the intrinsic cytotoxic effects of a conventional chemotherapeutic drug, combination therapy may increase anti-tumor activity despite a decrease in cytotoxic drug exposure. As new angiogenesis inhibitors enter the clinic, reliable surrogate markers are needed to monitor the progress of anti-angiogenic therapies and to identify responsive patients. New targets for anti-angiogenesis continue to be discovered, increasing the opportunities to interdict tumor angiogenesis and circumvent resistance mechanisms that may emerge with chronic use of these drugs. PMID:19074844
Parrott, Neil J; Yu, Li J; Takano, Ryusuke; Nakamura, Mikiko; Morcos, Peter N
2016-11-01
Alectinib, a lipophilic, basic, anaplastic lymphoma kinase (ALK) inhibitor with very low aqueous solubility, has received Food and Drug Administration-accelerated approval for the treatment of patients with ALK+ non-small-cell lung cancer. This paper describes the application of physiologically based absorption modeling during clinical development to predict and understand the impact of food and gastric pH changes on alectinib absorption. The GastroPlus ™ software was used to develop an absorption model integrating in vitro and in silico data on drug substance properties. Oral pharmacokinetics was simulated by linking the absorption model to a disposition model fit to pharmacokinetic data obtained after an intravenous infusion. Simulations were compared to clinical data from a food effect study and a drug-drug interaction study with esomeprazole, a gastric acid-reducing agent. Prospective predictions of a positive food effect and negligible impact of gastric pH elevation were confirmed with clinical data, although the exact magnitude of the food effect could not be predicted with confidence. After optimization of the absorption model with clinical food effect data, a refined model was further applied to derive recommendations on the timing of dose administration with respect to a meal. The application of biopharmaceutical absorption modeling is an area with great potential to further streamline late stage drug development and with impact on regulatory questions.
Applied metabolomics in drug discovery.
Cuperlovic-Culf, M; Culf, A S
2016-08-01
The metabolic profile is a direct signature of phenotype and biochemical activity following any perturbation. Metabolites are small molecules present in a biological system including natural products as well as drugs and their metabolism by-products depending on the biological system studied. Metabolomics can provide activity information about possible novel drugs and drug scaffolds, indicate interesting targets for drug development and suggest binding partners of compounds. Furthermore, metabolomics can be used for the discovery of novel natural products and in drug development. Metabolomics can enhance the discovery and testing of new drugs and provide insight into the on- and off-target effects of drugs. This review focuses primarily on the application of metabolomics in the discovery of active drugs from natural products and the analysis of chemical libraries and the computational analysis of metabolic networks. Metabolomics methodology, both experimental and analytical is fast developing. At the same time, databases of compounds are ever growing with the inclusion of more molecular and spectral information. An increasing number of systems are being represented by very detailed metabolic network models. Combining these experimental and computational tools with high throughput drug testing and drug discovery techniques can provide new promising compounds and leads.
Similarity-based modeling in large-scale prediction of drug-drug interactions.
Vilar, Santiago; Uriarte, Eugenio; Santana, Lourdes; Lorberbaum, Tal; Hripcsak, George; Friedman, Carol; Tatonetti, Nicholas P
2014-09-01
Drug-drug interactions (DDIs) are a major cause of adverse drug effects and a public health concern, as they increase hospital care expenses and reduce patients' quality of life. DDI detection is, therefore, an important objective in patient safety, one whose pursuit affects drug development and pharmacovigilance. In this article, we describe a protocol applicable on a large scale to predict novel DDIs based on similarity of drug interaction candidates to drugs involved in established DDIs. The method integrates a reference standard database of known DDIs with drug similarity information extracted from different sources, such as 2D and 3D molecular structure, interaction profile, target and side-effect similarities. The method is interpretable in that it generates drug interaction candidates that are traceable to pharmacological or clinical effects. We describe a protocol with applications in patient safety and preclinical toxicity screening. The time frame to implement this protocol is 5-7 h, with additional time potentially necessary, depending on the complexity of the reference standard DDI database and the similarity measures implemented.
Analytical chemistry methods were developed to quantify numerous emerging contaminants (ECs), such as pharmaceuticals (i.e., tamoxifen, tamoxifen metabolites, aromatase inhibitors, antibiotics, illicit drugs, over-the-counter drugs) in aqueous samples (wastewater, surface waters)...
[Development of antituberculous drugs: current status and future prospects].
Tomioka, Haruaki; Namba, Kenji
2006-12-01
Worldwide, tuberculosis (TB) remains the most frequent and important infectious disease causing morbidity and death. One-third of the world's population is infected with Mycobacterium tuberculosis (MTB), the etiologic agent of TB. The World Health Organization estimates that about eight to ten million new TB cases occur annually worldwide and the incidence of TB is currently increasing. In this context, TB is in the top three, with malaria and HIV being the leading causes of death from a single infectious agent, and approximately two million deaths are attributable to TB annually. In particular, pulmonary TB, the most common form of TB, is a highly contagious and life-threatening infection. Moreover, enhanced susceptibility to TB in HIV-infected populations is another serious health problem throughout the world. In addition, multidrug-resistant TB (MDR-TB) has been increasing in incidence in many areas, not only in developing countries but industrialized countries as well, during the past decade. These situations, particularly the global resurgence of TB and the rapid emergence of MDR-TB, underscore the importance of the development of new antituberculous drugs and new protocols for efficacious clinical control of TB patients using ordinary antimycobacterial drugs. Concerning the development of new antituberculous drugs, the following points are of particular importance. (1) Development of drugs which display lasting antimycobacterial activity in vivo is desirable, since they can be administered with long intervals and consequently facilitate directly observed therapy and enhance patient compliance. (2) Development of novel antituberculosis compounds to combat MDR-TB is urgently needed. (3) The eradication of slowly metabolizing and, if possible, dormant populations of MTB organisms that cause relapse, using new classes of anti-TB drugs is very promising for prevention of TB incidence, because it will markedly reduce the incidence of active TB from persons who are latently infected with MTB. Unfortunately, no new drugs except rifabutin and rifapentine has been marketed for TB in the US and other countries during the 40 years after release of rifampicin. There are a number of constraints that have deterred companies from investing in new anti-TB drugs. The research is expensive, slow and difficult, and requires specialized facilities for handling MTB. There are few animal models that closely mimic the human TB disease. Development time of any anti-TB drug will be long. In fact, clinical trials will require the minimum six-month therapy, with a follow-up period of one year or more. In addition, it is hard to demonstrate obvious benefit of a new anti-TB agents over pre-existing drugs, since clinical trials involve multidrug combination therapy using highly effective ordinary anti-TB drugs. Finaly, there is the perceived lack of commercial return to companies engaged in the development of new anti-TB drugs, because over 95% of TB cases worldwide are in developing countries. In this symposium, we reviewed the following areas. 1. Critical new information on the entire genome of MTB recently obtained and increasing knowledge of various mycobacterial virulence genes are greatly promoting the identification of genes that code for new drug targets. In this context, Dr. Namba reviewed the status of new types of compounds which are being developed as anti-TB drug. He also discussed the development of new antimycobacterial drugs according to new and potential pharmacological targets and the best clinical development plans for new-TB drugs in relation to corporate strategy. 2. Using such findings for mycobacterial genomes, bioinformatics/genomics/proteomics-based drug design and drug development using quantitative structure-activity relationships may be possible in the near future. In this context, Dr. Suwa and Dr. Suzuki reviewed the usefulness of chemical genomics in searching novel drug targets for development of new antituberculous drugs. The authors reviewed (1) the history and present status of chemical genomics that is defined as the systemic search for a selective small molecular modulator for each function of all gene products, (2) recent studies of the authors on profiles of the interactions between various kinds of human proteins and small molecule modulators using the new technology devised by Reverse Proteomics Research Institute, and (3) future prospects of the development of new antituberculous drugs based on chemical genomics. 3. It appears also promising to develop new types of drug administration systems using drug vehicles, which enable efficacious drug delivery to their target in vivo. Dr. Izumikawa, Dr. Ohno and Dr. Kohno reviewed the usefulness of liposome- and polymer-based technologies, which enable efficacious delivery of encapsulated drugs at required doses for prolonged periods of time with only a single shot without toxicity, and also enable highly targeted delivery of drugs to their target in vivo. They indicated that the applications of drug delivery system using conventional anti-mycobacterial agents are challenging to improve the compliance of treatment and better clinical outcome. 4. Immunoadjunctive therapy appears to be promising in improving outcome of clinical control of refractory mycobacterial infections, including MDR-TB and M. avium complex infection. Dr. Shimizu, Dr. Sato and Dr. Tomioka reviewed the present status of immunotherapy of mycobacterial infections in combination with antimycobacterial drugs. They indicated that the development of new classes of immunomodulators other than cytokines (IL-2, IFN-gamma, GM-CSF, IL-12, etc.) particularly those with no severe side-effects, are urgently needed. Their review dealed with some promising immunoadjunctive agents, especially ATP and its analogues, which potentiate macrophage antimycobacterial activity via purinergic P2 receptors. The aim of this symposium is to address the future prospects of the development of new drugs and drug regimens for anti-TB chemotherapy. There are a number of difficulties in drug-design for the development of new drug formulations with increased potential for antimycobacterial effects, excellent pharmacokinetics, and tolerability. It should be emphasized that the most urgent goal of chemotherapy of TB and MAC infections, especially that associated with HIV infection, is to develop highly active, low-cost drugs which can be used not only in industrialized countries but also in developing countries, since the incidences of AIDS-associated intractable TB and MAC infections are rapidly increasing in the latter. We strongly wish a great advance of fundametal and practical studies in developing such kinds of new anti-TB drugs in the near future. 1. Prospects for non-clinical or clinical development of new antituberculous drugs in relation to corporate strategy: Kenji NAMBA (New Product Research Laboratories I, Daiichi Pharmaceutical Co., Ltd.) Tuberculosis (TB) remains one of the deadliest threats to public health. No new anti-TB drugs have been brought into the clinic in the past 40 years. Current non-clinical works with progressed technology and Global Alliance for TB Drug Development, a non-profit organization established in 2000, accelerate research and development of faster-acting anti-TB compounds. We reviewed the status of new types of compounds which are being developed as anti-TB drug, such as diarylquinoline (TMC 207), nitroimidazole (PA-824 and OPC-67683), and moxifloxacin (MFLX). We also discussed the best clinical development plans for new-TB drugs in relation to corporate strategy. 2. Exploring novel drug targets through the chemical genomics approach and its possible application to the development of anti-tuberculosis drugs: Yorimasa SUWA (Reverse Proteomics Research Institute Co., Ltd.), Yohji SUZUKI (Teijin Ltd.) Recently, chemical genomics approach has been focused as an emerging technology for the drug discovery. In advance to a very large scale national project in US started last year, Reverse Proteomics Research Institute Co., Ltd. (REPRORI) has developed the core technologies for chemical genomics. Here we describe the outline of chemical genomics study, especially that of REPRORI, and discuss about its possible application to the development of anti-tuberculosis drugs. 3. Anti-mycobacterial agents and drug delivery: Koichi IZUMIKAWA, Hideaki OHNO, Shigeru KOHNO (Second Department of Internal Medicine, Nagasaki University School of Medicine) Mycobacterium infection is a major clinical concern in whole world. Since the newly developed anti-mycobacterial agents are few and still unavailable in clinical settings, the applications of drug delivery system using conventional anti-mycobacterial agents are challenging to improve the compliance of treatment and better efficacy. The efficacy of anti-mycobacterial agents modified by liposome or polymer based technology have been investigated and reported using various animal models. Drug delivery system increased and prolonged the drug concentrations at the blood and targeted organs and the duration of sustained drug release, respectively. These effects lead to decrease in the frequency of drug administrations dramatically and better efficacy rates. The studies, however, were performed only in animal models, the further investigations and evaluations in human are required for practical use. 4. Adjunctive immunotherapy of mycobacterial infections: Toshiaki SHIMIZU, Katsumasa SATO, Haruaki TOMIOKA (Department of Microbiology and Immunology, Shimane University School of Medicine) There is an urgent need to develop new antimicrobials and protocols for the administration of drugs that are potently efficacious against intractable mycobacterial infections. Unfortunately, development of the new drugs for solving this problem is not progressing. (ABSTRACT TRUNCATED)
Investigation into adamantane-based M2 inhibitors with FB-QSAR.
Wei, Hang; Wang, Cheng-Hua; Du, Qi-Shi; Meng, Jianzong; Chou, Kuo-Chen
2009-07-01
Because of their high resistance rate to the existing drugs, influenza A viruses have become a threat to human beings. It is known that the replication of influenza A viruses needs a pH-gated proton channel, the so-called M2 channel. Therefore, to develop effective drugs against influenza A, the most logic strategy is to inhibit the M2 channel. Recently, the atomic structure of the M2 channel was determined by NMR spectroscopy (Schnell, J.R. and Chou, J.J., Nature, 2008, 451, 591-595). The high-resolution NMR structure has provided a solid basis for structure-based drug design approaches. In this study, a benchmark dataset has been constructed that contains 34 newly-developed adamantane-based M2 inhibitors and covers considerable structural diversities and wide range of bioactivities. Based on these compounds, an in-depth analysis was performed with the newly developed fragment-based quantitative structure-activity relationship (FB-QSAR) algorithm. The results thus obtained provide useful insights for dealing with the drug-resistant problem and designing effective adamantane-based antiflu drugs.
Logrip, Marian L.; Zorrilla, Eric P.; Koob, George F.
2011-01-01
Drug abuse and dependence present significant health burdens for our society, affecting roughly 10% of the population. Stress likely contributes to the development and persistence of drug use; for example, rates of substance dependence are elevated among individuals diagnosed with post-traumatic stress disorder (PTSD). Thus, understanding the interaction between stress and drug use, and associated neuroadaptations, is key for developing therapies to combat substance use disorders. For this purpose, many rodent models of the effects of stress exposure on substance use have been developed; the models can be classified according to three categories of stress exposure: developmental, adult nonsocial, and adult social. The present review addresses preclinical findings on the effect of each type of trauma on responses to and self-administration of drugs of abuse by focusing on a key exemplar for each category. In addition, the potential efficacy of targeting neuropeptide systems that have been implicated in stress responses and stress system neuroadaptation in order to treat comorbid PTSD and substance abuse will be discussed. PMID:21782834
New drugs for pain management in advanced cancer patients.
Mercadante, Sebastiano
2017-04-01
Advanced cancer patients represent a frail population, often requiring aggressive pain management, particularly in the late stage of disease, when untreated pain is one the most important causes of suffering. Areas covered: In the last decade, a series of new analgesics have been introduced in the market to offer additional options amongst existent drugs. The characteristics of these drugs, their efficacy and tolerability are examined on the basis of existent studies. Expert opinion: Although new analgesic preparations have been developed in recent years, no specific drug has provided a better analgesic performance in comparison with others. Some technologies have been developed to increase the safety or decrease the opioid-related adverse effects, with some molecules providing extra-opioid analgesia. However, existing studies did not present relevant advantages over traditional opioids. The new formulations developed to provide a rapid and non-invasive analgesia for breakthrough pain have really changed the approach to this phenomenon, characterized by a specific temporal pattern requiring a short onset, and duration of the analgesic effect. The availability of new drugs, indeed, may enlarge the possibilities of individualizing treatment, according to specific clinical needs and individual response.
Avanesian, Agnesa; Semnani, Sahar; Jafari, Mahtab
2009-08-01
Once a molecule is identified as a potential drug, the detection of adverse drug reactions is one of the key components of its development and the FDA approval process. We propose using Drosophila melanogaster to screen for reproductive adverse drug reactions in the early stages of drug development. Compared with other non-mammalian models, D. melanogaster has many similarities to the mammalian reproductive system, including putative sex hormones and conserved proteins involved in genitourinary development. Furthermore, the D. melanogaster model would present significant advantages in time efficiency and cost-effectiveness compared with mammalian models. We present data on methotrexate (MTX) reproductive adverse events in multiple animal models, including fruit flies, as proof-of-concept for the use of the D. melanogaster model.
Optimizing dosing of oncology drugs.
Minasian, L; Rosen, O; Auclair, D; Rahman, A; Pazdur, R; Schilsky, R L
2014-11-01
The purpose of this article is to acknowledge the challenges in optimizing the dosing of oncology drugs and to propose potential approaches to address these challenges in order to optimize effectiveness, minimize toxicity, and promote adherence in patients. These approaches could provide better opportunities to understand the sources of variability in drug exposure and clinical outcomes during the development and premarketing evaluation of investigational new drugs.
Pharmacogenomics and its potential impact on drug and formulation development.
Regnstrom, Karin; Burgess, Diane J
2005-01-01
Recent advances in genomic research have provided the basis for new insights into the importance of genetic and genomic markers during the different stages of drug development. A new field of research, pharmacogenomics, which studies the relationship between drug effects and the genome, has emerged. Structural pharmacogenomics maps the complete DNA sequences of whole genomes (genotypes) including individual variations, and functional pharmacogenomics assesses the expression levels of thousands of genes in one single experiment. Together, these two areas of pharmacogenomics have generated massive databases, which have become a challenge for the research field of informatics and have fostered a new branch of research, bioinformatics. If skillfully used, the databases generated by pharmacogenomics together with data mining on the Web promise to improve the drug development process in a variety of areas: identification of drug targets, evaluation of toxicity, classification of diseases, evaluation of formulations, assessment of drug response and treatment, post-marketing applications, and development of personalized medicines.
Supercritical fluid processing of drug nanoparticles in stable suspension.
Pathak, Pankaj; Meziani, Mohammed J; Desai, Tarang; Foster, Charles; Diaz, Julian A; Sun, Ya-Ping
2007-07-01
Significant effort has been directed toward the development of drug formulation and delivery techniques, especially for the drug of no or poor aqueous solubility. Among various strategies to address the solubility issue, the reduction of drug particle sizes to the nanoscale has been identified as a potentially effective and broadly applicable approach. Complementary to traditional methods, supercritical fluid techniques have found unique applications in the production and processing of drug particles. Here we report the application of a newly developed supercritical fluid processing technique, Rapid Expansion of a Supercritical Solution into a Liquid Solvent, to the nanosizing of potent antiparasitic drug Amphotericin B particles. A supercritical carbon dioxide-cosolvent system was used for the solubilization and processing of the drug. The process produced well-dispersed nanoscale Amphotericin B particles suspended in an aqueous solution, and the suspension was intrinsically stable or could be further stabilized in the presence of water-soluble polymers. The properties of the drug nanoparticles were found to be dependent on the type of cosolvent used. The results on the use of dimethyl sulfoxide and methanol as cosolvents and their effects on the properties of nanosized Amphotericin B particles are presented and discussed.
Optimal Therapy Scheduling Based on a Pair of Collaterally Sensitive Drugs.
Yoon, Nara; Vander Velde, Robert; Marusyk, Andriy; Scott, Jacob G
2018-05-07
Despite major strides in the treatment of cancer, the development of drug resistance remains a major hurdle. One strategy which has been proposed to address this is the sequential application of drug therapies where resistance to one drug induces sensitivity to another drug, a concept called collateral sensitivity. The optimal timing of drug switching in these situations, however, remains unknown. To study this, we developed a dynamical model of sequential therapy on heterogeneous tumors comprised of resistant and sensitive cells. A pair of drugs (DrugA, DrugB) are utilized and are periodically switched during therapy. Assuming resistant cells to one drug are collaterally sensitive to the opposing drug, we classified cancer cells into two groups, [Formula: see text] and [Formula: see text], each of which is a subpopulation of cells resistant to the indicated drug and concurrently sensitive to the other, and we subsequently explored the resulting population dynamics. Specifically, based on a system of ordinary differential equations for [Formula: see text] and [Formula: see text], we determined that the optimal treatment strategy consists of two stages: an initial stage in which a chosen effective drug is utilized until a specific time point, T, and a second stage in which drugs are switched repeatedly, during which each drug is used for a relative duration (i.e., [Formula: see text]-long for DrugA and [Formula: see text]-long for DrugB with [Formula: see text] and [Formula: see text]). We prove that the optimal duration of the initial stage, in which the first drug is administered, T, is shorter than the period in which it remains effective in decreasing the total population, contrary to current clinical intuition. We further analyzed the relationship between population makeup, [Formula: see text], and the effect of each drug. We determine a critical ratio, which we term [Formula: see text], at which the two drugs are equally effective. As the first stage of the optimal strategy is applied, [Formula: see text] changes monotonically to [Formula: see text] and then, during the second stage, remains at [Formula: see text] thereafter. Beyond our analytic results, we explored an individual-based stochastic model and presented the distribution of extinction times for the classes of solutions found. Taken together, our results suggest opportunities to improve therapy scheduling in clinical oncology.
Huang, Zongyun; Parikh, Shuchi; Fish, William P
2018-01-15
In the pharmaceutical industry, in vitro dissolution testing ofsolid oral dosage forms is a very important tool for drug development and quality control. However, ion-pairing interaction between the ionic drugand surfactants in dissolution medium often occurs, resulting in inconsistent and incomplete drug release. The aim of this study is toevaluate the effects ofsodium dodecyl sulfate (SDS) mediated medium onthe dissolution behaviors of a poorly soluble cationic drug (Drug B). The study was carried out by measuring solubility of Drug B substance and dissolution rate of Drug B product in media containing SDS.Desolubilization of Drug B substance was observed at pH 4.5 in the presence of SDS at concentrations below critical micelle concentration (CMC) which is attributed to the formation of an insoluble di-dodecyl sulfate salt between SDS and Drug B. This ion-pairing effect is less significant with increasing medium pH where Drug B is less ionized and CMC of SDS is lower. In medium at pH 4.5, dissolution of Drug B product was found incomplete with SDS concentration below CMC due to the desolubilization of Drug B substance. In media with SDS level above CMC, the dissolution rate is rather slower with higher inter-vessel variations compared to that obtained in pH 4.5 medium without SDS. The dissolution results demonstrate that the presence of SDS in medium generates unexpected irregular dissolution profiles for Drug B which are attributed to incompatible dissolution medium for this particular drug. Therefore, non-ionic surfactant was selected for Drug B product dissolution method and ion-pairing effect in SDS mediated medium should be evaluated when developing a dissolution method for any poorly soluble cationic drugs. Copyright © 2017 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Morales, Andres W.; Zhang, Yu S.; Aleman, Julio; Alerasool, Parissa; Dokmeci, Mehmet R.; Khademhosseini, Ali; Ye, Jing Yong
2016-03-01
Clinical attrition is about 30% from failure of drug candidates due to toxic side effects, increasing the drug development costs significantly and slowing down the drug discovery process. This partly originates from the fact that the animal models do not accurately represent human physiology. Hence there is a clear unmet need for developing drug toxicity assays using human-based models that are complementary to traditional animal models before starting expensive clinical trials. Organ-on-a-chip techniques developed in recent years have generated a variety of human organ models mimicking different human physiological conditions. However, it is extremely challenging to monitor the transient and long-term response of the organ models to drug treatments during drug toxicity tests. First, when an organ-on-a-chip model interacts with drugs, a certain amount of protein molecules may be released into the medium due to certain drug effects, but the amount of the protein molecules is limited, since the organ tissue grown inside microfluidic bioreactors have minimum volume. Second, traditional fluorescence techniques cannot be utilized for real-time monitoring of the concentration of the protein molecules, because the protein molecules are continuously secreted from the tissue and it is practically impossible to achieve fluorescence labeling in the dynamically changing environment. Therefore, direct measurements of the secreted protein molecules with a label-free approach is strongly desired for organs-on-a-chip applications. In this paper, we report the development of a photonic crystal-based biosensor for label-free assays of secreted protein molecules from a liver-on-a-chip model. Ultrahigh detection sensitivity and specificity have been demonstrated.
Evaluation of taste-masking effects of pharmaceutical sweeteners with an electronic tongue system.
Choi, Du Hyung; Kim, Nam Ah; Nam, Tack Soo; Lee, Sangkil; Jeong, Seong Hoon
2014-03-01
Electronic tongue systems have been developed for taste measurement of bitter drug substances in accurate taste comparison to development palatable oral formulations. This study was to evaluate the taste masking effect of conventional pharmaceutical sweeteners such as neohesperidin dihydrochalcone, sucrose, sucralose and aspartame. The model drugs were acetaminophen, ibuprofen, tramadol hydrochloride, and sildenafil citrate (all at 20 mM). The degree of bitterness was measured by a multichannel taste sensor system (an electronic tongue). The data was collected by seven sensors and analyzed by a statistical method of principal components analysis (PCA). The effect of taste masking excipient was dependent on the type of model drug. Changing the concentration of taste masking excipients affected the sensitivity of taste masking effect according to the type of drug. As the excipient concentration increased, the effect of taste masking increased. Moreover, most of the sensors showed a concentration-dependent pattern of the taste-masking agents as higher concentration provided higher selectivity. This might indicate that the sensors can detect small concentration changes of a chemical in solution. These results suggest that the taste masking could be evaluated based on the data of the electronic tongue system and that the formulation development process could be performed in a more efficient way.
[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].
Gao, Mengxuan; Sato, Motoshige; Ikegaya, Yuji
2018-01-01
During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce a machine learning-based in vitro system designed to detect seizure-inducing side effects before clinical trial. We recorded local field potentials from the CA1 alveus in acute mouse neocortico-hippocampal slices that were bath-perfused with each of 14 different drugs, and at 5 different concentrations of each drug. For each of these experimental conditions, we collected seizure-like neuronal activity and merged their waveforms as one graphic image, which was further converted into a feature vector using Caffe, an open framework for deep learning. In the space of the first two principal components, the support vector machine completely separated the vectors (i.e., doses of individual drugs) that induced seizure-like events, and identified diphenhydramine, enoxacin, strychnine and theophylline as "seizure-inducing" drugs, which have indeed been reported to induce seizures in clinical situations. Thus, this artificial intelligence-based classification may provide a new platform to pre-clinically detect seizure-inducing side effects of drugs.
[Prescription rules of preparations containing Crataegi Fructus in Chinese patent drug].
Geng, Ya; Ma, Yue-Xiang; Xu, Hai-Yu; Li, Jun-Fang; Tang, Shi-Huan; Yang, Hong-Jun
2016-08-01
To analyze the prescription rules of preparations containing Crataegi Fructus in the drug standards of the People's Republic of China Ministry of Public Health-Chinese Patent Drug(hereinafter referred to as Chinese patent drug), and provide some references for clinical application and the research and development of new medicines. Based on TCMISS(V2.5), the prescriptions containing Crataegi Fructus in Chinese patent drug were collected to build the database; association rules, frequency statistics and other data mining methods were used to analyze the disease syndrome, common drug compatibility and prescription rules. There were a total of 308 prescriptions containing Crataegi Fructus, involving 499 kinds of Chinese medicines, 34 commonly used drug combinations, and mainly for 18 kinds of diseases. Drug combination analysis was done with "Crataegi Fructus-Citri Reticulatae Pericarpium" and "Crataegi Fructus-Poria" as the high-frequency herb pairs and with "stagnation" and "diarrhea" as the high-frequency diseases. The results indicated that the Crataegi Fructus in different herb pairs had a roughly same function, and its therapy effect was different in different diseases. The prescriptions containing Crataegi Fructus in Chinese patent drug had the effect of digestion, and they were widely used in clinical application, often used together with spleen-strengthening medicines to achieve different treatment effects; the prescription rules reflected the prescription characteristics of Crataegi Fructus for different diseases, providing a basis for its clinically scientific application and the research and development of new medicines. Copyright© by the Chinese Pharmaceutical Association.
New HSP27 inhibitors efficiently suppress drug resistance development in cancer cells.
Heinrich, Jörg C; Donakonda, Sainitin; Haupt, V Joachim; Lennig, Petra; Zhang, Yixin; Schroeder, Michael
2016-10-18
Drug resistance is an important open problem in cancer treatment. In recent years, the heat shock protein HSP27 (HSPB1) was identified as a key player driving resistance development. HSP27 is overexpressed in many cancer types and influences cellular processes such as apoptosis, DNA repair, recombination, and formation of metastases. As a result cancer cells are able to suppress apoptosis and develop resistance to cytostatic drugs. To identify HSP27 inhibitors we follow a novel computational drug repositioning approach. We exploit a similarity between a predicted HSP27 binding site to a viral thymidine kinase to generate lead inhibitors for HSP27. Six of these leads were verified experimentally. They bind HSP27 and down-regulate its chaperone activity. Most importantly, all six compounds inhibit development of drug resistance in cellular assays. One of the leads - chlorpromazine - is an antipsychotic, which has a positive effect on survival time in human breast cancer. In summary, we make two important contributions: First, we put forward six novel leads, which inhibit HSP27 and tackle drug resistance. Second, we demonstrate the power of computational drug repositioning.
Drug-Gut Microbiota Interactions: Implications for Neuropharmacology.
Walsh, Jacinta; Griffin, Brendan T; Clarke, Gerard; Hyland, Niall P
2018-05-21
The fate and activity of drugs are frequently dictated not only by the host per se but also by the microorganisms present in the gastrointestinal tract. The gut microbiome is known to, both directly and indirectly, affect drug metabolism. More evidence now hints at the impact that drugs can have on the function and composition of the gut microbiome. Both microbiota-mediated alterations in drug metabolism and drug-mediated alterations in the gut microbiome can have beneficial or detrimental effects on the host. Greater insights into the mechanisms driving these reciprocal drug-gut microbiota interactions are needed, to guide the development of microbiome-targeted dietary or pharmacological interventions, with the potential to enhance drug efficacy or reduce drug side-effects. In this review, we explore the relationship between drugs and the gut microbiome, with a specific focus on potential mechanisms underpinning the drug-mediated alterations on the gut microbiome and the potential implications for psychoactive drugs. This article is protected by copyright. All rights reserved.
Which drugs can be used during pregnancy?
Malm, Heli; Ellfolk, Maria
In many cases the decisions on drug therapy during pregnancy have to be made without evidence-based information about the effectiveness and safety of the treatment. While few drugs are known with certainty to be harmful for fetal development, the evidence for evaluating harm to the fetus is insufficient for the majority of drugs. The differentiation of fetal organs takes place during the early weeks of pregnancy, whereby it is imperative that the mother's medication be revised already when planning a pregnancy. A drug should primarily be chosen, for which experience has accumulated about its use during pregnancy and is not suspected or known to be associated with adverse effects.
Synergistic combinations of antifungals and anti-virulence agents to fight against Candida albicans
Cui, Jinhui; Ren, Biao; Tong, Yaojun; Dai, Huanqin; Zhang, Lixin
2015-01-01
Candida albicans, one of the pathogenic Candida species, causes high mortality rate in immunocompromised and high-risk surgical patients. In the last decade, only one new class of antifungal drug echinocandin was applied. The increased therapy failures, such as the one caused by multi-drug resistance, demand innovative strategies for new effective antifungal drugs. Synergistic combinations of antifungals and anti-virulence agents highlight the pragmatic strategy to reduce the development of drug resistant and potentially repurpose known antifungals, which bypass the costly and time-consuming pipeline of new drug development. Anti-virulence and synergistic combination provide new options for antifungal drug discovery by counteracting the difficulty or failure of traditional therapy for fungal infections. PMID:26048362
"Seeing is believing": perspectives of applying imaging technology in discovery toxicology.
Xu, Jinghai James; Dunn, Margaret Condon; Smith, Arthur Russell
2009-11-01
Efficiency and accuracy in addressing drug safety issues proactively are critical in minimizing late-stage drug attritions. Discovery toxicology has become a specialty subdivision of toxicology seeking to effectively provide early predictions and safety assessment in the drug discovery process. Among the many technologies utilized to select safer compounds for further development, in vitro imaging technology is one of the best characterized and validated to provide translatable biomarkers towards clinically-relevant outcomes of drug safety. By carefully applying imaging technologies in genetic, hepatic, and cardiac toxicology, and integrating them with the rest of the drug discovery processes, it was possible to demonstrate significant impact of imaging technology on drug research and development and substantial returns on investment.
The Rise, Fall and Subsequent Triumph of Thalidomide: Lessons Learned in Drug Development
Rehman, Waqas; Arfons, Lisa M.; Lazarus, Hillard M.
2011-01-01
Perhaps no other drug in modern medicine rivals the dramatic revitalization of thalidomide. Originally marketed as a sedative, thalidomide gained immense popularity worldwide among pregnant women because of its effective anti-emetic properties in morning sickness. Mounting evidence of human teratogenicity marked a dramatic fall from grace and led to widespread social, legal and economic ramifications. Despite its tragic past thalidomide emerged several decades later as a novel and highly effective agent in the treatment of various inflammatory and malignant diseases. In 2006 thalidomide completed its remarkable renaissance becoming the first new agent in over a decade to gain approval for the treatment of plasma cell myeloma. The catastrophic collapse yet subsequent revival of thalidomide provides important lessons in drug development. Never entirely abandoned by the medical community, thalidomide resurfaced as an important drug once the mechanisms of action were further studied and better understood. Ongoing research and development of related drugs such as lenalidomide now represent a class of irreplaceable drugs in hematological malignancies. Further, the tragedies associated with this agent stimulated the legislation which revamped the FDA regulatory process, expanded patient informed consent procedures and mandated more transparency from drug manufacturers. Finally, we review recent clinical trials summarizing selected medical indications for thalidomide with an emphasis on hematologic malignancies. Herein, we provide a historic perspective regarding the up-and-down development of thalidomide. Using PubMed databases we conducted searches using thalidomide and associated keywords highlighting pharmacology, mechanisms of action, and clinical uses. PMID:23556097
Castañeda-Gill, JM; Ranjan, AP; Vishwanatha, JK
2017-01-01
Glioblastoma (GBM) is an aggressive, grade IV brain tumor that develops from astrocytes located within the cerebrum, resulting in poor prognosis and survival rates following an accepted treatment regimen of surgery, radiation, and temozolomide. Thus, development of new therapeutics is necessary. During the last two decades, methylene blue (MB) has received increased attention as a potential neurotherapeutic due to its duality in brain cancers and neurodegenerative diseases. While MB is capable of easily permeating the blood-brain barrier, its therapeutic concentrations in GBM are known to induce off-target cytotoxicity and thus, another mode of drug delivery must be considered. To this end, encapsulation of formerly unusable compounds into nanoparticles (NPs) made from the biodegradable/biocompatible, FDA approved co-polymer poly (lactide-co-glycolide) (PLGA) has been more commonplace when developing novel therapeutics. In this study, we formulated and characterized Pluronic F68-coated PLGA NPs containing a sodium oleate conjugate of MB (MBOS) via solvent displacement. Conjugation of sodium oleate to MB was shown to reduce its release from PLGA NPs compared to unmodified MB, leading to potential improvements in drug accumulation and therapeutic effectiveness. Our drug-loaded NP preparations, which were ~170 nm in size and had drug loading values of ~2%, were shown to reduce cell viability and cell compartment-specific, as well as overall cell, functions equivalenty, if not more so, when compared to free drug in two GBM cell lines. Following bio-distribution analysis of free MBOS compared to its nano-encapsulated counterpart, drug-loaded NPs were shown to more effectively permeate the BBB, which could lead to improvements in therapeutic effectiveness upon further examination in a tumor-bearing mouse model. Based on these results, we believe that the further development and eventual utilization of this nanoformulation could lead to an effective GBM therapy that could extend patient survival rates. PMID:29034126
2015-12-01
have been approved by FDA or are under development. Their use aims to minimize drug degradation, prevent undesirable side effects , and increase drug...efficacy, while simultaneously reducing side effects , owing to properties such as more targeted localization in tumors and active cellular uptake...with Dr. Vreeland suggested that the lipid was below the transition temperature of the lipid, which likely contributed to the poor size distribution
Photosensitivity: a current biological overview.
Elkeeb, Dena; Elkeeb, Laila; Maibach, Howard
2012-12-01
The level of interest in photoirritation (phototoxicity) has increased because of the awareness among the scientific community of the increase in the UV portion of the solar spectrum reaching the earth. The need of new chemicals and drugs puts pressure on pre-test methods for side effects, especially interactive adverse effects with UV light. So pre-marketing clinical trials conducted before a new drug is licensed are essential, as such, at the early phases of the discovery process of the drug/chemical, developing an efficacious photosensitivity testing system is prudent to avoid such potential side effects. To review published literature and provide an overview on exogenous photosensitivity and assays used to evaluate the photosensitivity potential of drugs/chemicals. As well as testing considerations by the Regulatory bodies (namely, the Organization for Economic Cooperation and Development, the U.S Food and Drug Administration and the European Union regulatory agencies). We searched medical and scientific search engines as well as websites of the EU and US Regulatory agencies and used keywords such as cutaneous phototoxicity, phototoxicity in vitro assays, phototoxicity in vivo assays and other related terms.
Ma, Leyuan; Boucher, Jeffrey I; Paulsen, Janet; Matuszewski, Sebastian; Eide, Christopher A; Ou, Jianhong; Eickelberg, Garrett; Press, Richard D; Zhu, Lihua Julie; Druker, Brian J; Branford, Susan; Wolfe, Scot A; Jensen, Jeffrey D; Schiffer, Celia A; Green, Michael R; Bolon, Daniel N
2017-10-31
Developing tools to accurately predict the clinical prevalence of drug-resistant mutations is a key step toward generating more effective therapeutics. Here we describe a high-throughput CRISPR-Cas9-based saturated mutagenesis approach to generate comprehensive libraries of point mutations at a defined genomic location and systematically study their effect on cell growth. As proof of concept, we mutagenized a selected region within the leukemic oncogene BCR-ABL1 Using bulk competitions with a deep-sequencing readout, we analyzed hundreds of mutations under multiple drug conditions and found that the effects of mutations on growth in the presence or absence of drug were critical for predicting clinically relevant resistant mutations, many of which were cancer adaptive in the absence of drug pressure. Using this approach, we identified all clinically isolated BCR-ABL1 mutations and achieved a prediction score that correlated highly with their clinical prevalence. The strategy described here can be broadly applied to a variety of oncogenes to predict patient mutations and evaluate resistance susceptibility in the development of new therapeutics. Published under the PNAS license.
Development of a Microfluidics-Based Intracochlear Drug Delivery Device
Sewell, William F.; Borenstein, Jeffrey T.; Chen, Zhiqiang; Fiering, Jason; Handzel, Ophir; Holmboe, Maria; Kim, Ernest S.; Kujawa, Sharon G.; McKenna, Michael J.; Mescher, Mark M.; Murphy, Brian; Leary Swan, Erin E.; Peppi, Marcello; Tao, Sarah
2009-01-01
Background Direct delivery of drugs and other agents into the inner ear will be important for many emerging therapies, including the treatment of degenerative disorders and guiding regeneration. Methods We have taken a microfluidics/MEMS (MicroElectroMechanical Systems) technology approach to develop a fully implantable reciprocating inner-ear drug-delivery system capable of timed and sequenced delivery of agents directly into perilymph of the cochlea. Iterations of the device were tested in guinea pigs to determine the flow characteristics required for safe and effective delivery. For these tests, we used the glutamate receptor blocker DNQX, which alters auditory nerve responses but not cochlear distortion product otoacoustic emissions. Results We have demonstrated safe and effective delivery of agents into the scala tympani. Equilibration of the drug in the basal turn occurs rapidly (within tens of minutes) and is dependent on reciprocating flow parameters. Conclusion We have described a prototype system for the direct delivery of drugs to the inner ear that has the potential to be a fully implantable means for safe and effective treatment of hearing loss and other diseases. PMID:19923811
A hidden Markov model to assess drug-induced sleep fragmentation in the telemetered rat.
Diack, C; Ackaert, O; Ploeger, B A; van der Graaf, P H; Gurrell, R; Ivarsson, M; Fairman, D
2011-12-01
Drug-induced sleep fragmentation can cause sleep disturbances either via their intended pharmacological action or as a side effect. Examples of disturbances include excessive daytime sleepiness, insomnia and nightmares. Developing drugs without these side effects requires insight into the mechanisms leading to sleep disturbance. The characterization of the circadian sleep pattern by EEG following drug exposure has improved our understanding of these mechanisms and their translatability across species. The EEG shows frequent transitions between specific sleep states leading to multiple correlated sojourns in these states. We have developed a Markov model to consider the high correlation in the data and quantitatively compared sleep disturbance in telemetered rats induced by methylphenidate, which is known to disturb sleep, and of a new chemical entity (NCE). It was assumed that these drugs could either accelerate or decelerate the transitions between the sleep states. The difference in sleep disturbance of methylphenidate and the NCE were quantitated and different mechanisms of action on rebound sleep were identified. The estimated effect showed that both compounds induce sleep fragmentation with methylphenidate being fivefold more potent compared to the NCE.
Use of Animal Models to Develop Antiaddiction Medications
Gardner, Eliot L.
2008-01-01
Although addiction is a uniquely human phenomenon, some of its pathognomonic features can be modeled at the animal level. Such features include the euphoric “high” produced by acute administration of addictive drugs; the dysphoric “crash” produced by acute withdrawal, drug-seeking, and drug-taking behaviors; and relapse to drug-seeking behavior after achieving successful abstinence. Animal models exist for each of these features. In this review, I focus on various animal models of addiction and how they can be used to search for clinically effective antiaddiction medications. I conclude by noting some of the new and novel medications that have been developed preclinically using such models and the hope for further developments along such lines. PMID:18803910
Efficacy-oriented compatibility for component-based Chinese medicine
Zhang, Jun-hua; Zhu, Yan; Fan, Xiao-hui; Zhang, Bo-li
2015-01-01
Single-target drugs have not achieved satisfactory therapeutic effects for complex diseases involving multiple factors. Instead, innovations in recent drug research and development have revealed the emergence of compound drugs, such as cocktail therapies and “polypills”, as the frontier in new drug development. A traditional Chinese medicine (TCM) prescription that is usually composed of several medicinal herbs can serve a typical representative of compound medicines. Although the traditional compatibility theory of TCM cannot be well expressed using modern scientific language nowadays, the fundamental purpose of TCM compatibility can be understood as promoting efficacy and reducing toxicity. This paper introduces the theory and methods of efficacy-oriented compatibility for developing component-based Chinese medicines. PMID:25864650
Gore offers to help drug companies pursue research.
1996-03-08
A meeting convened between Vice President Al Gore and executives of leading pharmaceutical companies to determine means of accelerating efforts to develop vaccines, therapeutics, and microbicides for people with HIV. Gore explained that the administration will work with pharmaceutical companies to determine the long-term effectiveness of drugs approved by the Food and Drug Administration (FDA), work with international groups to increase investment in vaccine development, help develop new microbicides for women with HIV, and identify promising areas of AIDS research. According to advocates, the Clinton Administration has made great strides in improving and accelerating the FDA's drug approval process. The next goal of the pharmaceutical research agenda should be to include consumer advocates in the decision-making process.
Tamilvanan, Shunmugaperumal; Raja, Natarajan Livingston; Sa, Biswanath; Basu, Sanat Kumar
2010-08-01
Similar to the low molecular weight traditional drugs, biopharmaceuticals are capable of producing not only therapeutic effects but also side effects provided if the dose of these compounds exceeds certain concentration and/or if the exposure duration of these compounds at subtoxic doses is being lengthened. In addition, a major drawback of biopharmaceuticals is the risk of antibody formation. Following the administration of biopharmaceuticals into human body, the formation of antidrug-antibody (ADA) or neutralizing antibody and other general immune system effects (including allergy, anaphylaxis, or serum sickness) are of clinical concern regarding therapeutic efficacy and patient safety. For example, drug-induced neutralizing antibodies to erythropoietin (EPO) result in pure red cell aplasia, whereas drug-induced acquired anti-factor VIII antibodies worsen the pathology associated with hemophilia. Since most of the already developed or under development biopharmaceuticals are to some extent immunogenic, the regulatory agencies insist to conduct potential ADA formation during the drug development process itself. This review encompasses a short overview on the clinical concerns of immunogenicity produced at cellular levels by growth hormone, interferon-alpha, EPO, factor VIII, and factor IX following their parenteral administration into human body. Clinical concerns related to immunogenicity produced by the biosimilar versions of these drugs are also presented wherever possible.
Inorganic Nanomaterials as Carriers for Drug Delivery.
Chen, Shizhu; Hao, Xiaohong; Liang, Xingjie; Zhang, Qun; Zhang, Cuimiao; Zhou, Guoqiang; Shen, Shigang; Jia, Guang; Zhang, Jinchao
2016-01-01
For safe and effective therapy, drugs must be delivered efficiently and with minimal systemic side effects. Nanostructured drug carriers enable the delivery of small-molecule drugs as well as nucleic acids and proteins. Inorganic nanomaterials are ideal for drug delivery platforms due to their unique physicochemical properties, such as facile preparation, good storage stability and biocompatibility. Many inorganic nanostructure-based drug delivery platforms have been prepared. Although there are still many obstacles to overcome, significant advances have been made in recent years. This review focuses on the status and development of inorganic nanostructures, including silica, quantum dots, gold, carbon-based and magnetic iron oxide-based nanostructures, as carriers for chemical and biological drugs. We specifically highlight the extensive use of these inorganic drug carriers for cancer therapy. Finally, we discuss the most important areas in the field that urgently require further study.
This Side Up: Making Decisions About Drugs.
ERIC Educational Resources Information Center
Cook, Maureen H.; Newman, Carol
This guide was developed as a source of information for young people who are faced with making decisions about drugs. Written in a "catchy" yet informative style, the materials presented address the following areas of concern: (1) definitions and effects of various drugs, including alcohol, tobacco, and narcotics; (2) physical and psychological…
Treating Teens: A Guide to Adolescent Drug Programs.
ERIC Educational Resources Information Center
Drug Strategies, Washington, DC.
This guide looks at drug abuse in the context of adolescent development and provides a framework for understanding what has been learned about effective adolescent drug treatment over the last decade. The guide, which underscores the need to address developmental issues when treating adolescents, provides concrete ways to assess treatment…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-08-16
... Compliance in Today's Regulatory Enforcement Environment AGENCY: Food and Drug Administration, HHS. ACTION... Regulatory Enforcement Environment.'' The conference will span 2\\1/2\\ days and cover current issues affecting... facilitate the development and continuous improvement of safe and effective medical products. The conference...
How Multi-Organ Microdevices Can Help Foster Drug Development
Esch, Mandy B.; Smith, Alec; Prot, Jean-Matthieu; Sancho, Carlotta Oleaga; Hickman, James; Shuler, Michael L.
2014-01-01
Multi-organ microdevices can mimic tissue-tissue interactions that occur as a result of metabolite travel from one tissue to other tissues in vitro. These systems are capable of simulating human metabolism, including the conversion of a pro-drug to its effective metabolite as well as its subsequent therapeutic actions and toxic side effects. Since tissue-tissue interactions in the human body can play a significant role in determining the success of new pharmaceuticals, the development and use of multi-organ microdevices presents an opportunity to improve the drug development process. The goals are to predict potential toxic side effects with higher accuracy before a drug enters the expensive phase of clinical trials as well as to estimate efficacy and dose response. Multi-organ microdevices also have the potential to aid in the development of new therapeutic strategies by providing a platform for testing in the context of human metabolism (as opposed to animal models). Further, when operated with human biopsy samples, the devices could be a gateway for the development of individualized medicine. Here we review studies in which multi-organ microdevices have been developed and used in a ways that demonstrate how the devices’ capabilities can present unique opportunities for the study of drug action. We also discuss the challenges that are inherent in the development of multi-organ microdevices. Among these are how to design the devices, and how to create devices that mimic the human metabolism with high authenticity. Since single organ devices are testing platforms for tissues that can later be combined with other tissues within multi-organ devices, we will also mention single organ devices where appropriate in the discussion. PMID:24412641
Zhang, Zhi; Zhang, Xin; Li, Aixiang; Ma, Chuangen
2018-03-01
The present works aims to develop bupivacaine modified reduced graphene oxide (BPV/RGO), and comparative evaluation of their anesthetic effect with free bupivacaine (BPV). The prepared BPV/RGO was studied by using various spectroscopic and microscopic characterization studies. In vitro drug release from BPV/RGO was studied using HPLC analysis. The cytotoxicity of BPV/RGO was studied against fibroblast (3T3) cells. In vivo evaluation of anesthetic effects was performed on animal models. BPV/RGO showed a prolonged in vitro release and lower cytotoxicity when compared to free BPV. Also, BPV/RGO showed a significantly prolonged analgesic effect when compared to free BPV. Further, the prepared BPV/RGO drug delivery system demonstrated to function as gifted to overcome the drawbacks of free BPV and other available drug delivery systems by prolonging the anesthetic effect with poor cytotoxicity. Copyright © 2018. Published by Elsevier B.V.
From crystal to compound: structure-based antimalarial drug discovery.
Drinkwater, Nyssa; McGowan, Sheena
2014-08-01
Despite a century of control and eradication campaigns, malaria remains one of the world's most devastating diseases. Our once-powerful therapeutic weapons are losing the war against the Plasmodium parasite, whose ability to rapidly develop and spread drug resistance hamper past and present malaria-control efforts. Finding new and effective treatments for malaria is now a top global health priority, fuelling an increase in funding and promoting open-source collaborations between researchers and pharmaceutical consortia around the world. The result of this is rapid advances in drug discovery approaches and technologies, with three major methods for antimalarial drug development emerging: (i) chemistry-based, (ii) target-based, and (iii) cell-based. Common to all three of these approaches is the unique ability of structural biology to inform and accelerate drug development. Where possible, SBDD (structure-based drug discovery) is a foundation for antimalarial drug development programmes, and has been invaluable to the development of a number of current pre-clinical and clinical candidates. However, as we expand our understanding of the malarial life cycle and mechanisms of resistance development, SBDD as a field must continue to evolve in order to develop compounds that adhere to the ideal characteristics for novel antimalarial therapeutics and to avoid high attrition rates pre- and post-clinic. In the present review, we aim to examine the contribution that SBDD has made to current antimalarial drug development efforts, covering hit discovery to lead optimization and prevention of parasite resistance. Finally, the potential for structural biology, particularly high-throughput structural genomics programmes, to identify future targets for drug discovery are discussed.
DRUG EFFECTS ON THE LOCOMOTOR ACTIVITY OF LARVAL ZEBRAFISH.
As part of an effort to develop a rapid in vivo screen for EPA’s prioritization of toxic chemicals, we have begun to characterize the locomotor activity of zebrafish (Danio rerio) larvae and the effects of prototype drugs. Zebrafish larvae (6-7 days post-fertilization) were indiv...
Major achievements of evidence-based traditional Chinese medicine in treating major diseases.
Chao, Jung; Dai, Yuntao; Verpoorte, Robert; Lam, Wing; Cheng, Yung-Chi; Pao, Li-Heng; Zhang, Wei; Chen, Shilin
2017-09-01
A long history of use and extensive documentation of the clinical practices of traditional Chinese medicine resulted in a considerable number of classical preparations, which are still widely used. This heritage of our ancestors provides a unique resource for drug discovery. Already, a number of important drugs have been developed from traditional medicines, which in fact form the core of Western pharmacotherapy. Therefore, this article discusses the differences in drug development between traditional medicine and Western medicine. Moreover, the article uses the discovery of artemisinin as an example that illustrates the "bedside-bench-bedside" approach to drug discovery to explain that the middle way for drug development is to take advantage of the best features of these two distinct systems and compensate for certain weaknesses in each. This article also summarizes evidence-based traditional medicines and discusses quality control and quality assessment, the crucial steps in botanical drug development. Herbgenomics may provide effective tools to clarify the molecular mechanism of traditional medicines in the botanical drug development. The totality-of-the-evidence approach used by the U.S. Food and Drug Administration for botanical products provides the directions on how to perform quality control from the field throughout the entire production process. Copyright © 2017 Elsevier Inc. All rights reserved.
Drug companies cut HIV drug prices in the developing world.
Yamey, G
2000-05-20
The UN has reported that five multinational pharmaceutical companies would cut down HIV drug prices in the developing world. One of these drug companies is GlaxoWellcome, which has promised to reduce the price of zidovudine and lamivudine to US$2 in the poorest nations, a fifth of its price in the US. Although Peter Piot, director of the UN Program on HIV/AIDS, welcomed the companies' promises, he warned that price cuts alone will not curb the epidemic. He stated that this initiative is only one critical factor in what must become a much broader and more urgent effort to help people living with HIV/AIDS. Moreover, health and development agencies expressed concern that AIDS drugs will still be unaffordable for the vast majority of those in need in developing countries. In addition, poor countries lack the infrastructure to deliver these drugs safely and effectively. During the time of the UN announcement, US President Bill Clinton also signed an executive order allowing sub-Saharan Africa to adopt legal measures to obtain cheap HIV drugs. Meanwhile, South Africa's reaction to the offer to cut antiretroviral drug prices has been lukewarm.
Liu, Changxiao; Constantinides, Panayiotis P.; Li, Yazhuo
2014-01-01
The enormous progress biotechnology, bioinformatics and nanotechnology made in recent years provides opportunities and scientific framework for development of biomedicine and constitutes a paradigm shift in pharmaceutical R&D and drug innovation. By analyzing the data and related information at R&D level over the past decades, developmental tendency and R&D patterns were summarized. We found that a growing number of biologics in the pipeline of pharma companies with successful products already in the market though, small molecular entities have primarily dominated drug innovation. Additionally, small/medium size companies will continue to play a key role in the development of small molecule drugs and biologics in a multi-channel integrated process. More importantly, modern and effective R&D strategies in biomedicine development to predict and evaluate efficacy and/or safety of 21st century therapeutics are urgently needed. To face new challenges, developmental strategies were proposed, in terms of molecular targeted medicine, generic drugs, new drug delivery system and protein-based drugs. Under the current circumstances, interdisciplinary cooperation mode and policy related to drug innovation in China were deeply discussed as well. PMID:26579372
Targeted chemotherapy, the medical ecosystem, and the future of American health care.
Gillick, Muriel R
2014-01-01
In light of the difficulties experienced by the pharmaceutical industry in developing important new drugs, the rapid design and introduction of the targeted chemotherapeutic agent, crizotinib, is a significant achievement. Understanding the roles of the patient, the physician, the regulator (FDA), health insurance companies, and the manufacturer (Pfizer) in the development of this drug can shed light on the prospects for future drugs and on the workings of the complicated health-care ecosystem. Patients were eager for an effective drug against lung cancer with minimal toxicity but were reluctant to enroll in clinical trials. Oncologists were enthusiastic about the new drug but have a financial incentive favoring intravenous medicines over oral agents. The FDA was under pressure to approve new drugs quickly. The drug manufacturer modified its corporate structure and developed collaborations with academics and international partners, but was pressured by stockholders to maximize short-term profitability. Insurance companies balked at the price of the drug and used tiered pricing to limit their costs. The successful design, development, and diffusion of crizotinib may signal a new departure for the pharmaceutical industry, but whether such successes are replicated in the future will depend on the delicately balanced ecosystem that constitutes American health care.
Hwang, Lu-Yu; Grimes, Carolyn Z; Beasley, R Palmer; Graviss, Edward A
2009-12-01
Interferon-gamma release assays (IGRAs) need be evaluated for effectiveness as screening tests for tuberculosis (TB) infection in drug users. These tests have demonstrated improved sensitivity and specificity, but have not been studied in drug users. These one step blood tests are intended to replace the tuberculin skin test (TST), which is difficult to use and requires 48 hour follow-up, so they are expected to be particularly suitable for risk groups, like drug users, in whom follow-up is problematic. Drug users have traditionally been identified as being at increased risk for acquiring TB disease. The results of our pilot study using the TST and simpler and more sensitive interferon-gamma release assays showed that about 45% of current drug users in Houston tested have at least one test positive for latent tuberculosis infection (LTBI). These preliminary data suggest that there is an important reservoir of LTBI in drug using populations, and the risk of progression to active TB disease with other infections is great. However, LTBI in drug using populations has not been studied in depth and deserves further investigation. We need to evaluate the validity of IGRAs for detection of latent TB infection, the factors associated with LTBI, the incidence and risk for developing active TB disease in drug users and the effectiveness of early treatment of LTBI. We believe that using better tuberculosis screening tools will allow us to more accurately measure the prevalence of latent TB infection and incidence of active TB disease in drug using populations and develop more effective TB prevention and treatment interventions in the community.
Li, Jianzong; Liu, Wei; Luo, Hao; Bao, Jinku
2016-09-01
Anaplastic lymphoma kinase (ALK) plays a crucial role in multiple malignant cancers. It is known as a well-established target for the treatment of ALK-dependent cancers. Even though substantial efforts have been made to develop ALK inhibitors, only crizotinib, ceritinib, and alectinib had been approved by the U.S. Food and Drug Administration for patients with ALK-positive non-small cell lung cancer (NSCLC). The secondary mutations with drug-resistance bring up difficulties to develop effective drugs for ALK-positive cancers. To give a comprehensive understanding of molecular mechanism underlying inhibitor response to ALK tyrosine kinase mutations, we established an accurate assessment for the extensive profile of drug against ALK mutations by means of computational approaches. The molecular mechanics-generalized Born surface area (MM-GBSA) method based on molecular dynamics (MD) simulation was carried out to calculate relative binding free energies for receptor-drug systems. In addition, the structure-based virtual screening was utilized to screen effective inhibitors targeting wild-type ALK and the gatekeeper mutation L1196M from 3180 approved drugs. Finally, the mechanism of drug resistance was discussed, several novel potential wild-type and L1196M mutant ALK inhibitors were successfully identified.
Tissue chips - innovative tools for drug development and disease modeling.
Low, L A; Tagle, D A
2017-09-12
The high rate of failure during drug development is well-known, however recent advances in tissue engineering and microfabrication have contributed to the development of microphysiological systems (MPS), or 'organs-on-chips' that recapitulate the function of human organs. These 'tissue chips' could be utilized for drug screening and safety testing to potentially transform the early stages of the drug development process. They can also be used to model disease states, providing new tools for the understanding of disease mechanisms and pathologies, and assessing effectiveness of new therapies. In the future, they could be used to test new treatments and therapeutics in populations - via clinical trials-on-chips - and individuals, paving the way for precision medicine. Here we will discuss the wide-ranging and promising future of tissue chips, as well as challenges facing their development.
Current perspectives in NSAID-induced gastropathy.
Sinha, Mau; Gautam, Lovely; Shukla, Prakash Kumar; Kaur, Punit; Sharma, Sujata; Singh, Tej P
2013-01-01
Nonsteroidal anti-inflammatory drugs (NSAIDs) are the most highly prescribed drugs in the world. Their analgesic, anti-inflammatory, and antipyretic actions may be beneficial; however, they are associated with severe side effects including gastrointestinal injury and peptic ulceration. Though several approaches for limiting these side effects have been adopted, like the use of COX-2 specific drugs, comedication of acid suppressants like proton pump inhibitors and prostaglandin analogs, these alternatives have limitations in terms of efficacy and side effects. In this paper, the mechanism of action of NSAIDs and their critical gastrointestinal complications have been reviewed. This paper also provides the information on different preventive measures prescribed to minimize such adverse effects and analyses the new suggested strategies for development of novel drugs to maintain the anti-inflammatory functions of NSAIDs along with effective gastrointestinal protection.
Kim, Myoung Soo; Park, Jung Ha; Park, Kyung Yeon
2012-10-01
This study was done to develop and evaluate a drug dosage calculation training program using cognitive loading theory based on a smartphone application. Calculation ability, dosage calculation related self-efficacy and anxiety were measured. A nonequivalent control group design was used. Smartphone application and a handout for self-study were developed and administered to the experimental group and only a handout was provided for control group. Intervention period was 4 weeks. Data were analyzed using descriptive analysis, χ²-test, t-test, and ANCOVA with the SPSS 18.0. The experimental group showed more 'self-efficacy for drug dosage calculation' than the control group (t=3.82, p<.001). Experimental group students had higher ability to perform drug dosage calculations than control group students (t=3.98, p<.001), with regard to 'metric conversion' (t=2.25, p=.027), 'table dosage calculation' (t=2.20, p=.031) and 'drop rate calculation' (t=4.60, p<.001). There was no difference in improvement in 'anxiety for drug dosage calculation'. Mean satisfaction score for the program was 86.1. These results indicate that this drug dosage calculation training program using smartphone application is effective in improving dosage calculation related self-efficacy and calculation ability. Further study should be done to develop additional interventions for reducing anxiety.
Rapid Identification of Chemoresistance Mechanisms Using Yeast DNA Mismatch Repair Mutants
Ojini, Irene; Gammie, Alison
2015-01-01
Resistance to cancer therapy is a major obstacle in the long-term treatment of cancer. A greater understanding of drug resistance mechanisms will ultimately lead to the development of effective therapeutic strategies to prevent resistance from occurring. Here, we exploit the mutator phenotype of mismatch repair defective yeast cells combined with whole genome sequencing to identify drug resistance mutations in key pathways involved in the development of chemoresistance. The utility of this approach was demonstrated via the identification of the known CAN1 and TOP1 resistance targets for two compounds, canavanine and camptothecin, respectively. We have also experimentally validated the plasma membrane transporter HNM1 as the primary drug resistance target of mechlorethamine. Furthermore, the sequencing of mitoxantrone-resistant strains identified inactivating mutations within IPT1, a gene encoding inositolphosphotransferase, an enzyme involved in sphingolipid biosynthesis. In the case of bactobolin, a promising anticancer drug, the endocytosis pathway was identified as the drug resistance target responsible for conferring resistance. Finally, we show that that rapamycin, an mTOR inhibitor previously shown to alter the fitness of the ipt1 mutant, can effectively prevent the formation of mitoxantrone resistance. The rapid and robust nature of these techniques, using Saccharomyces cerevisiae as a model organism, should accelerate the identification of drug resistance targets and guide the development of novel therapeutic combination strategies to prevent the development of chemoresistance in various cancers. PMID:26199284
Wilking, Nils; Wilking, Ulla; Jönsson, Bengt
2014-06-01
Cancer is a major burden to the health care system, presently mainly in developed countries, but is rapidly becoming a problem of similar magnitude in developing countries. Cancer ranks number two or three measured in loss of "good years of life" in Europe. The direct cost of cancer are estimated to be around 50% of total health care costs and of these costs a major part is linked to cancer drugs. With the ongoing revolution in the understanding of cancer and the development of an increasing number of new, but often very costly drugs, the health care systems in all parts of the world need to have a systematic way of evaluating new cancer drugs. Health technology assessment (HTA) now plays a major role in many parts of Europe. HTA has its focus on determining the value of new innovations in order to balance allocation of health care resources in a fair and equal way. This paper reviews the HTA process in general and for cancer drugs specifically. The key findings are that cancer drugs must be evaluated in a similar way as other health care technologies. One must however take into account that cancer drugs are often approved with a high level of uncertainty. Thus, it is of key importance that not only clinical efficacy, i.e., effect in pivotal clinical trials, is taken into account, but that there is a great need for follow-up studies so that post regulatory approval is able to properly measure population based effects [clinical effectiveness (CLE)].
FDA: Evidentiary Standards for Drug Development and Approval
Katz, Russell
2004-01-01
Summary: The United States Food and Drug Administration is charged with approving drug treatments that have been shown to be safe and effective. Relevant statutes and regulations provide a legal framework for establishing safety and effectiveness that is sufficiently flexible to ensure that appropriate scientific data are collected for specific treatments targeted to particular diseases. Nonetheless, all clinical trials proposed to establish effectiveness must incorporate common elements in order for the appropriate legal and scientific standards of drug approval to be met. This article will discuss the relevant laws and regulations pertaining to the current effectiveness standard and will discuss the most important clinical trial design elements currently considered acceptable for applications for treatments of neurologic and psychiatric illness. PMID:15717032
The blood-brain barrier and nasal drug delivery to the central nervous system.
Miyake, Marcel Menon; Bleier, Benjamin S
2015-01-01
The blood-brain barrier (BBB) is a highly efficient system that separates the central nervous system (CNS) from general circulation and promotes selective transport of molecules that are essential for brain function. However, it also limits the distribution of systemically administered therapeutics to the brain; therefore, there is a restricted number of drugs available for the treatment of brain disorders. Several drug-targeting strategies have been developed to attempt to bypass the BBB, but none has proved sufficiently effective in reaching the brain. The objective of this study is to generally review these strategies of drug administration to the CNS. Noninvasive methods of drug delivery, such as chemical and biologic transport systems, do not represent a feasible platform, whereas for most drugs, it is still not possible to achieve therapeutic levels within the brain tissue after intravenous or oral administration, and the use of higher potency or more concentrated doses may cause serious toxic side effects. Direct intrathecal drug delivery through a catheter into the CNS also presents several problems. Intranasal drug delivery is a potential alternative method due to the direct transport into the cerebrospinal fluid (CSF) compartment along the olfactory pathway, but the study's conclusions are controversial. An endoscopic intranasal surgical procedure using established skull base surgery reconstruction techniques based on the use of a nasal mucosa surgical flap as the only obstacle between the nose and the subarachnoid space has appeared as a potential solution to increase the absorption of intranasal drugs to the CNS. Despite extensive efforts to develop new techniques to cross the BBB, none has proved sufficiently effective in reaching the brain, whereas minimizing adverse effects and the endoscopic mucosal grafting technique offers new potential promise.
Osmotic Drug Delivery System as a Part of Modified Release Dosage Form
Keraliya, Rajesh A.; Patel, Chirag; Patel, Pranav; Keraliya, Vipul; Soni, Tejal G.; Patel, Rajnikant C.; Patel, M. M.
2012-01-01
Conventional drug delivery systems are known to provide an immediate release of drug, in which one can not control the release of the drug and can not maintain effective concentration at the target site for longer time. Controlled drug delivery systems offer spatial control over the drug release. Osmotic pumps are most promising systems for controlled drug delivery. These systems are used for both oral administration and implantation. Osmotic pumps consist of an inner core containing drug and osmogens, coated with a semipermeable membrane. As the core absorbs water, it expands in volume, which pushes the drug solution out through the delivery ports. Osmotic pumps release drug at a rate that is independent of the pH and hydrodynamics of the dissolution medium. The historical development of osmotic systems includes development of the Rose-Nelson pump, the Higuchi-Leeper pumps, the Alzet and Osmet systems, the elementary osmotic pump, and the push-pull system. Recent advances include development of the controlled porosity osmotic pump, and systems based on asymmetric membranes. This paper highlights the principle of osmosis, materials used for fabrication of pumps, types of pumps, advantages, disadvantages, and marketed products of this system. PMID:22852100
Recent progress in the development of polysaccharide conjugates of docetaxel and paclitaxel
Roy, Aniruddha; Bhattacharyya, Mousumi; Ernsting, Mark J.; May, Jonathan P; Li, Shyh-Dar
2014-01-01
Taxanes are one of the most potent and broadest spectrum chemotherapeutics used clinically, but also induce significant side effects. Different strategies have been developed to produce a safer taxane formulation. Development of polysaccharide drug conjugates has increased in the recent years due to the demonstrated biocompatibility, biodegradability, safety and low cost of the biopolymers. This review focuses on polysaccharide taxane conjugates and provides an overview on various conjugation strategies and their effect on the efficacy. Detailed analyses on the designing factors of an effective polysaccharide drug conjugate are provided with a discussion on the future direction of this field. PMID:24652678
Does using marijuana increase the risk for developing schizophrenia?
Evins, A Eden; Green, Alan I; Kane, John M; Murray, Robin M
2013-04-01
As more US states and other countries consider legalizing marijuana, clinicians need to know the possible effects of this drug. Research has shown a connection between marijuana use and an increased risk for schizophrenia in young people who are vulnerable to developing psychosis. An international panel of experts addresses topics such as risk factors for schizophrenia, the potency and effects of cannabis use on adolescents, the effects of concurrent drug use with cannabis on schizophrenia risk, and current attitudes toward marijuana. © Copyright 2013 Physicians Postgraduate Press, Inc.
Choi, Rihwa; Jeong, Byeong-Ho
2017-01-01
Although tuberculosis is largely a curable disease, it remains a major cause of morbidity and mortality worldwide. Although the standard 6-month treatment regimen is highly effective for drug-susceptible tuberculosis, the use of multiple drugs over long periods of time can cause frequent adverse drug reactions. In addition, some patients with drug-susceptible tuberculosis do not respond adequately to treatment and develop treatment failure and drug resistance. Response to tuberculosis treatment could be affected by multiple factors associated with the host-pathogen interaction including genetic factors and the nutritional status of the host. These factors should be considered for effective tuberculosis control. Therefore, therapeutic drug monitoring (TDM), which is individualized drug dosing guided by serum drug concentrations during treatment, and pharmacogenetics-based personalized dosing guidelines of anti-tuberculosis drugs could reduce the incidence of adverse drug reactions and increase the likelihood of successful treatment outcomes. Moreover, assessment and management of comorbid conditions including nutritional status could improve anti-tuberculosis treatment response. PMID:28028995
Choi, Rihwa; Jeong, Byeong Ho; Koh, Won Jung; Lee, Soo Youn
2017-03-01
Although tuberculosis is largely a curable disease, it remains a major cause of morbidity and mortality worldwide. Although the standard 6-month treatment regimen is highly effective for drug-susceptible tuberculosis, the use of multiple drugs over long periods of time can cause frequent adverse drug reactions. In addition, some patients with drug-susceptible tuberculosis do not respond adequately to treatment and develop treatment failure and drug resistance. Response to tuberculosis treatment could be affected by multiple factors associated with the host-pathogen interaction including genetic factors and the nutritional status of the host. These factors should be considered for effective tuberculosis control. Therefore, therapeutic drug monitoring (TDM), which is individualized drug dosing guided by serum drug concentrations during treatment, and pharmacogenetics-based personalized dosing guidelines of anti-tuberculosis drugs could reduce the incidence of adverse drug reactions and increase the likelihood of successful treatment outcomes. Moreover, assessment and management of comorbid conditions including nutritional status could improve anti-tuberculosis treatment response.
Macedo, Danielle; Filho, Adriano José Maia Chaves; Soares de Sousa, Caren Nádia; Quevedo, João; Barichello, Tatiana; Júnior, Hélio Vitoriano Nobre; Freitas de Lucena, David
2017-01-15
The first drug repurposed for the treatment of depression was the tuberculostatic iproniazid. At present, drugs belonging to new classes of antidepressants still have antimicrobial effects. Dysbiosis of gut microbiota was implicated in the development or exacerbation of mental disorders, such as major depressive disorder (MDD). Based on the current interest in the gut-brain axis, the focus of this narrative review is to compile the available studies regarding the influences of gut microbiota in behavior and depression and to show the antimicrobial effect of antidepressant drugs. A discussion regarding the possible contribution of the antimicrobial effect of antidepressant drugs to its effectiveness/resistance is included. The search included relevant articles from PubMed, SciELO, LILACS, PsycINFO, and ISI Web of Knowledge. MDD is associated with changes in gut permeability and microbiota composition. In this respect, antidepressant drugs present antimicrobial effects that could also be related to the effectiveness of these drugs for MDD treatment. Conversely, some antimicrobials present antidepressant effects. Both antidepressants and antimicrobials present neuroprotective/antidepressant and antimicrobial effects. Further studies are needed to evaluate the participation of antimicrobial mechanisms of antidepressants in MDD treatment as well as to determine the contribution of this effect to antidepressant resistance. Copyright © 2016 Elsevier B.V. All rights reserved.
Potential Targets for Antifungal Drug Discovery Based on Growth and Virulence in Candida albicans
Li, Xiuyun; Hou, Yinglong; Yue, Longtao; Liu, Shuyuan; Du, Juan
2015-01-01
Fungal infections, especially infections caused by Candida albicans, remain a challenging problem in clinical settings. Despite the development of more-effective antifungal drugs, their application is limited for various reasons. Thus, alternative treatments with drugs aimed at novel targets in C. albicans are needed. Knowledge of growth and virulence in fungal cells is essential not only to understand their pathogenic mechanisms but also to identify potential antifungal targets. This article reviews the current knowledge of the mechanisms of growth and virulence in C. albicans and examines potential targets for the development of new antifungal drugs. PMID:26195510
A commentary on transdermal drug delivery systems in clinical trials.
Watkinson, Adam C
2013-09-01
The number of drugs available as marketed transdermal products is limited to those that exhibit the correct physicochemical and pharmacokinetic properties that enable their effective delivery across the skin. In this respect, there are less than 20 drugs that are currently marketed in the US and EU as products that deliver systemic levels of their active ingredients. An analysis of clinical trials conducted in the transdermal sector shows a similar picture with only nine drugs accounting for approximately 80% of all transdermal clinical trials listed on ClinicalTrials.gov. Those drugs for which there are very few transdermal trials listed consist mostly of molecules that are inherently unsuitable for transdermal delivery and serve as a clear warning to drug developers that the science that governs transdermal drug delivery is well reflected by the successes and failures of drugs in development as well as those that make it to the market. Copyright © 2013 Wiley Periodicals, Inc.
Antipsychotic prescribing in older people.
Neil, Wendy; Curran, Stephen; Wattis, John
2003-09-01
Antipsychotic medications have made a significant contribution to the care of the mentally ill people over the past 50 years, with good evidence that both typical and atypical agents are effective in the treatment of schizophrenia and related conditions. In addition they are widely used to good effect in other disorders including psychotic depression, dementia and delirium. Both typical and atypical agents may cause severe side-effects and, in the elderly in particular, there is an increased propensity for drug interactions. If used with care, antipsychotics are usually well tolerated, especially the atypical drugs. Although antipsychotics are effective at reducing psychotic symptoms their limitations should be recognised. They do not 'cure' the underlying illness, and the management of psychotic and behavioural symptoms must take into consideration treatment of physical illness as well as psychosocial interventions. In addition, the antipsychotic effect may take one to two weeks to be evident so doses should not be increased too rapidly. Often small doses are effective in the elderly if they are given sufficient time to work. As our understanding of the mechanisms of psychosis improves it is hoped that new drugs will be developed with novel mechanisms of action with improved efficacy and reduced side-effects. There are several drugs in development, some sharing similarities to currently available agents whilst others have novel mechanisms of actions involving glutamate and nicotinic receptors. Pharmacogenetics is also likely to be increasingly important over the next few years. As the genetic basis of many psychiatric disorders becomes more clearly established it is likely that drugs specifically designed for particular sub-groups of receptors will be developed. Finally, although the pharmacological treatment of psychotic disorders in younger people has been given considerable attention, there is a paucity of good quality research on antipsychotic drug use in older people. There is a need to redress this balance to ensure that the prescribing of antipsychotics in older people is evidence based.
Specifying the non-specific factors underlying opioid analgesia: Expectancy, attention, and affect
Atlas, Lauren Y.; Wielgosz, Joseph; Whittington, Robert A.; Wager, Tor D.
2013-01-01
Rationale Psychological processes such as expectancy, attention, and affect directly influence clinical outcomes. These factors are grouped together as “nonspecific” factors, or placebo effects, in the medical literature, and their individual contributions are rarely considered. The pain-reducing effects of analgesic treatments may reflect changes in these psychological factors, rather than pure drug effects on pain. Furthermore, drug effects may not be isolated by drug vs. placebo comparisons if drugs interact with relevant psychological processes. Objectives To determine whether the analgesic effects of opioid and placebo treatment are mediated by changes in attention, expectancy, or affect. Methods We crossed intravenous administration of a potent opioid analgesic, remifentanil, with information about drug delivery (treatment expectancy, or placebo) using a balanced placebo design. We measured drug and treatment expectancy effects on pain, attention, and responses to emotional images. We also examined interactions with cue-based expectations about noxious stimulation, or stimulus expectancy. Results Pain was additively influenced by treatment expectancy, stimulus expectancy, and drug concentration. Attention performance showed a small but significant interaction between drug and treatment expectancy. Finally, remifentanil enhanced responses to both positive and negative emotional images. Conclusions The pain-relieving effects of opioid drugs are unlikely to be mediated by changes in threat or affective processing. Standard open-label opioid administration influences multiple clinically relevant cognitive and emotional processes. Psychological factors can combine with drug effects to influence multiple outcomes in distinct ways. The influence of specific psychological factors should be considered when developing and testing pharmacological treatments. PMID:24096537
Large-scale exploration and analysis of drug combinations.
Li, Peng; Huang, Chao; Fu, Yingxue; Wang, Jinan; Wu, Ziyin; Ru, Jinlong; Zheng, Chunli; Guo, Zihu; Chen, Xuetong; Zhou, Wei; Zhang, Wenjuan; Li, Yan; Chen, Jianxin; Lu, Aiping; Wang, Yonghua
2015-06-15
Drug combinations are a promising strategy for combating complex diseases by improving the efficacy and reducing corresponding side effects. Currently, a widely studied problem in pharmacology is to predict effective drug combinations, either through empirically screening in clinic or pure experimental trials. However, the large-scale prediction of drug combination by a systems method is rarely considered. We report a systems pharmacology framework to predict drug combinations (PreDCs) on a computational model, termed probability ensemble approach (PEA), for analysis of both the efficacy and adverse effects of drug combinations. First, a Bayesian network integrating with a similarity algorithm is developed to model the combinations from drug molecular and pharmacological phenotypes, and the predictions are then assessed with both clinical efficacy and adverse effects. It is illustrated that PEA can predict the combination efficacy of drugs spanning different therapeutic classes with high specificity and sensitivity (AUC = 0.90), which was further validated by independent data or new experimental assays. PEA also evaluates the adverse effects (AUC = 0.95) quantitatively and detects the therapeutic indications for drug combinations. Finally, the PreDC database includes 1571 known and 3269 predicted optimal combinations as well as their potential side effects and therapeutic indications. The PreDC database is available at http://sm.nwsuaf.edu.cn/lsp/predc.php. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Effect of second-generation antipsychotics on cognition: current issues and future challenges
Hill, S Kristian; Bishop, Jeffrey R; Palumbo, Donna; Sweeney, John A.
2010-01-01
Generalized cognitive impairments are stable deficits linked to schizophrenia and key factors associated with functional disability in the disorder. Preclinical data suggest that second-generation antipsychotics could potentially reduce cognitive impairments; however, recent large clinical trials indicate only modest cognitive benefits relative to first-generation antipsychotics. This might reflect a limited drug effect in humans, a differential drug effect due to brain alterations associated with schizophrenia, or limited sensitivity of the neuropsychological tests for evaluating cognitive outcomes. New adjunctive procognitive drugs may be needed to achieve robust cognitive and functional improvement. Drug discovery may benefit from greater utilization of translational neurocognitive biomarkers to bridge preclinical and clinical proof-of-concept studies, to optimize assay sensitivity, enhance cost efficiency, and speed progress in drug development. PMID:20021320
Tissue Bioeffects during Ultrasound-mediated Drug Delivery
NASA Astrophysics Data System (ADS)
Sutton, Jonathan
Ultrasound has been developed as both a valuable diagnostic tool and a potent promoter of beneficial tissue bioeffects for the treatment of cardiovascular disease. Vascular effects can be mediated by mechanical oscillations of circulating microbubbles, or ultrasound contrast agents, which may also encapsulate and shield a therapeutic agent in the bloodstream. Oscillating microbubbles can create stresses directly on nearby tissue or induce fluid effects that effect drug penetration into vascular tissue, lyse thrombi, or direct drugs to optimal locations for delivery. These investigations have spurred continued research into alternative therapeutic applications, such as bioactive gas delivery. This dissertation addresses a fundamental hypothesis in biomedical ultrasound: ultrasound-mediated drug delivery is capable of increasing the penetration of drugs across different physiologic barriers within the cardiovascular system, such as the vascular endothelium, blood clots, and smooth muscle cells.
ERIC Educational Resources Information Center
Huang, Chiu-Mieh; Chien, Li-Yin; Cheng, Chin-Feng; Guo, Jong-Long
2012-01-01
Background: Drug use has been noted among students in Taiwan during the past decade and schools have a role in preventing or delaying students' drug use. We developed and evaluated a school-based, drug-use prevention program integrating the theory of planned behavior (TPB) and life skills for junior high school students. Methods: We recruited 441…
Li, Xia; Xi, Zheng-Xiong; Markou, Athina
2013-01-01
Brain glutamate has been shown to play an important role in reinstatement to drug seeking, a behavior considered to be of relevance to relapse to drug taking in humans. Therefore, glutamate receptors, in particular metabotropic glutamate (mGlu) receptors, have become important targets for medication development for the treatment of drug dependence. In this review article, we focus on the mGlu7 receptor subtype, and discuss recent findings with AMN082, a selective mGlu7 receptor allosteric agonist, in animal models with relevance to drug dependence. Systemic or local administration of AMN082 into the nucleus accumbens (NAc), a critical brain region involved in reward and drug dependence processes, inhibited the reinforcing and motivational effects of cocaine, heroin and ethanol, as assessed by the intravenous drug self-administration procedure. In addition, AMN082 inhibited the reward-enhancing effects induced by cocaine, as assessed in the intracranial self-stimulation procedure, and cocaine- or cue-induced reinstatement of drug-seeking behavior. In vivo microdialysis studies indicated that systemic or intra-NAc administration of AMN082 significantly decreased extracellular γ-aminobutyric acid (GABA) and elevated extracellular glutamate, but had no effect on extracellular dopamine in the NAc, suggesting that a non-dopaminergic mechanism underlies the effects of AMN082 on the actions of cocaine. Further, data indicated that AMN082-induced changes in glutamate were the net effect of two actions: one is the direct inhibition of glutamate release by activation of mGlu7 receptors on glutamatergic neurons; another is the indirect increases of glutamate release mediated by decreases in GABA transmission. These increases in extracellular glutamate functionally antagonized cocaine-induced inhibition of NAc-ventral pallidum GABAergic neurotransmission, and therefore, the rewarding effects of cocaine. In addition, elevated extracellular glutamate activated presynaptic mGlu2/3 autoreceptors which in turn inhibited cocaine priming- or cue-induced enhancement of glutamate release and reinstatement of drug-seeking behavior. Taken together, these findings suggest that the mGlu7 receptor is an important target for medication development for the treatment of drug dependence. AMN082 or other mGlu7 receptor allosteric agonists may have potential as novel pharmacotherapies for cocaine addiction. PMID:22546614
Development and validation of a Client Problem Profile and Index for drug treatment.
Joe, George W; Simpson, D Dwayne; Greener, Jack M; Rowan-Szal, Grace A
2004-08-01
The development of the Client Problem Profile and Index are described, and initial concurrent and predictive validity data are presented for a sample of 547 patients in outpatient methadone treatment. Derived from the TCU Brief Intake for drug treatment admissions, the profile covers 14 problem areas related to drug use (particularly cocaine, heroin/opiate, marijuana, other illegal drugs, and multiple drug use), HIV risks, psychosocial-functioning, health, employment, and criminality. Analyses of predictive validity show the profile and its index (number of problem areas) were significantly related to therapeutic engagement, during-treatment performance, and posttreatment follow-up outcomes. Low moderate to high moderate effect sizes were observed in analyses of the index's discrimination.
[Caenorhabditis elegans: a powerful tool for drug discovery].
Jia, Xi-Hua; Cao, Cheng
2009-07-01
A simple model organism Caenorhabditis elegans has contributed substantially to the fundamental researches in biology. In an era of functional genomics, nematode worm has been developed into a multi-purpose tool that can be exploited to identify disease-causing or disease-associated genes, validate potential drug targets. This, coupled with its genetic amenability, low cost experimental manipulation and compatibility with high throughput screening in an intact physiological condition, makes the model organism into an effective toolbox for drug discovery. This review shows the unique features of C. elegans, how it can play a valuable role in our understanding of the molecular mechanism of human diseases and finding drug leads in drug development process.
Synergy testing of FDA-approved drugs identifies potent drug combinations against Trypanosoma cruzi.
Planer, Joseph D; Hulverson, Matthew A; Arif, Jennifer A; Ranade, Ranae M; Don, Robert; Buckner, Frederick S
2014-07-01
An estimated 8 million persons, mainly in Latin America, are infected with Trypanosoma cruzi, the etiologic agent of Chagas disease. Existing antiparasitic drugs for Chagas disease have significant toxicities and suboptimal effectiveness, hence new therapeutic strategies need to be devised to address this neglected tropical disease. Due to the high research and development costs of bringing new chemical entities to the clinic, we and others have investigated the strategy of repurposing existing drugs for Chagas disease. Screens of FDA-approved drugs (described in this paper) have revealed a variety of chemical classes that have growth inhibitory activity against mammalian stage Trypanosoma cruzi parasites. Aside from azole antifungal drugs that have low or sub-nanomolar activity, most of the active compounds revealed in these screens have effective concentrations causing 50% inhibition (EC50's) in the low micromolar or high nanomolar range. For example, we have identified an antihistamine (clemastine, EC50 of 0.4 µM), a selective serotonin reuptake inhibitor (fluoxetine, EC50 of 4.4 µM), and an antifolate drug (pyrimethamine, EC50 of 3.8 µM) and others. When tested alone in the murine model of Trypanosoma cruzi infection, most compounds had insufficient efficacy to lower parasitemia thus we investigated using combinations of compounds for additive or synergistic activity. Twenty-four active compounds were screened in vitro in all possible combinations. Follow up isobologram studies showed at least 8 drug pairs to have synergistic activity on T. cruzi growth. The combination of the calcium channel blocker, amlodipine, plus the antifungal drug, posaconazole, was found to be more effective at lowering parasitemia in mice than either drug alone, as was the combination of clemastine and posaconazole. Using combinations of FDA-approved drugs is a promising strategy for developing new treatments for Chagas disease.
Advancements in the delivery of epigenetic drugs
Cramer, Samantha A.; Adjei, Isaac M.; Labhasetwar, Vinod
2015-01-01
Introduction Advancements in epigenetic treatments are not only coming from new drugs but from modifications or encapsulation of the existing drugs into different formulations leading to greater stability and enhanced delivery to the target site. The epigenome is highly regulated and complex; therefore it is important that off-target effects of epigenetic drugs be minimized. The step from in vitro to in vivo treatment of these drugs often requires development of a method of effective delivery for clinical translation. Areas covered This review covers epigenetic mechanisms such as DNA methylation, chromatin remodeling and small RNA mediated gene regulation. There is a section in the review with examples of diseases where epigenetic alterations lead to impaired pathways, with an emphasis on cancer. Epigenetic drugs, their targets and clinical status are presented. Advantages of using a delivery method for epigenetic drugs as well as examples of current advancements and challenges are also discussed. Expert opinion Epigenetic drugs have the potential to be very effective therapy against a number of diseases, especially cancers and neurological disorders. As with many chemotherapeutics, undesired side effects need to be minimized. Finding a suitable delivery method means reducing side effects and achieving a higher therapeutic index. Each drug may require a unique delivery method exploiting the drug's chemistry or other physical characteristic requiring interdisciplinary participation and would benefit from a better understanding of the mechanisms of action. PMID:25739728
Nanostructure-mediated drug delivery.
Hughes, Gareth A
2005-03-01
Nanotechnology is expected to have an impact on all industries including semiconductors, manufacturing, and biotechnology. Tools that provide the capability to characterize and manipulate materials at the nanoscale level further elucidate nanoscale phenomena and equip researchers and developers with the ability to fabricate novel materials and structures. One of the most promising societal impacts of nanotechnology is in the area of nanomedicine. Personalized health care, rational drug design, and targeted drug delivery are some of the benefits of a nanomedicine-based approach to therapy. This review will focus on the development of nanoscale drug delivery mechanisms. Nanostructured drug carriers allow for the delivery of not only small-molecule drugs but also the delivery of nucleic acids and proteins. Delivery of these molecules to specific areas within the body can be achieved, which will reduce systemic side effects and allow for more efficient use of the drug.
Five un-easy pieces of pharmaceutical policy reform.
Rodwin, Marc A
2013-01-01
Improper dependencies slant policy over a drug's life span, biasing the development of new drugs, the testing and marketing approval for new drugs, and the monitoring of patient safety after drugs are marketed. This article examines five ways in which the public improperly depends on pharmaceutical firms that compromise the integrity of pharmaceutical policy. Today the public relies on pharmaceutical firms: (1) to set priorities on drug research and development; (2) to conduct clinical trials to test whether drugs are safe and effective; (3) to decide what clinical trial data to disclose to the public; (4) to monitor post marketing drug safety; (5) to supply product information to physicians and to finance continuing medical education and other professional activities. The article suggests options to overcome each of these dependencies. © 2013 American Society of Law, Medicine & Ethics, Inc.
Repurposing psychiatric drugs as anti-cancer agents.
Huang, Jing; Zhao, Danwei; Liu, Zhixiong; Liu, Fangkun
2018-04-10
Cancer is a major public health problem and one of the leading contributors to the global disease burden. The high cost of development of new drugs and the increasingly severe burden of cancer globally have led to increased interest in the search and development of novel, affordable anti-neoplastic medications. Antipsychotic drugs have a long history of clinical use and tolerable safety; they have been used as good targets for drug repurposing. Being used for various psychiatric diseases for decades, antipsychotic drugs are now reported to have potent anti-cancer properties against a wide variety of malignancies in addition to their antipsychotic effects. In this review, an overview of repurposing various psychiatric drugs for cancer treatment is presented, and the putative mechanisms for the anti-neoplastic actions of these antipsychotic drugs are reviewed. Copyright © 2018 Elsevier B.V. All rights reserved.
Hay, Joel W; Smeeding, Jim; Carroll, Norman V; Drummond, Michael; Garrison, Louis P; Mansley, Edward C; Mullins, C Daniel; Mycka, Jack M; Seal, Brian; Shi, Lizheng
2010-01-01
The assignment of prices or costs to pharmaceuticals can be crucial to results and conclusions that are derived from pharmacoeconomic cost effectiveness analyses (CEAs). Although numerous pharmacoeconomic practice guidelines are available in the literature and have been promulgated in many countries, these guidelines are either vague or silent about how drug costs should be established or measured. This is particularly problematic in pharmacoeconomic studies performed from the "societal" perspective, because typically the measured cost of a brand name pharmaceutical is not a true economic cost but also includes transfer payments from some members of society (patients and third party payers) to other members of society (pharmaceutical manufacturer stockholders) in large part as a reward for biomedical innovation. Moreover, there are numerous and complex institutional factors that influence how drug costs should be measured from other CEA perspectives, both internationally and within the domestic US context. The objective of this report is to provide guidance and recommendations on how drug costs should be measured for CEAs performed from a number of key analytic perspectives. ISPOR Task Force on Good Research Practices-Use of Drug Costs for Cost Effectiveness Analysis (Drug Cost Task Force [DCTF]) was appointed with the advice and consent of the ISPOR Board of Directors. Members were experienced developers or users of CEA models, worked in academia, industry, and as advisors to governments, and came from several countries. Because how drug costs should be measured for CEAs depend on the perspectives, five Task Force subgroups were created to develop drug cost standards from the societal, managed care, US government, industry, and international perspective. The ISPOR Task Force on Good Research Practices-Use of Drug Costs for Cost Effectiveness Analysis (DCTF) subgroups met to develop core assumptions and an outline before preparing six draft reports. They solicited comments on the outline and drafts from a core group of 174 external reviewers and more broadly from the membership of ISPOR at two ISPOR meetings and via the ISPOR web site. Drug cost measurements should be fully transparent and reflect the net payment most relevant to the user's perspective. The Task Force recommends that for CEAs of brand name drugs performed from a societal perspective, either 1) CEA analysts use a cost that more accurately reflects true societal drug costs (e.g., 20-60% of average sales price), or when that is too unrealistic to be meaningful for decision-makers, 2) refer to their analyses as from a "limited societal perspective." CEAs performed from a payer perspective should use drug prices actually paid by the relevant payer net of all rebates, copays, or other adjustments. When such price adjustments are confidential, the analyst should apply a typical or average discount that preserves this confidentiality. Drug transaction prices not only ration current use of medication but also ration future biomedical research and development. CEA researchers should tailor the appropriate measure of drug costs to the analytic perspective, maintain clarity and transparency on drug cost measurement, and report the sensitivity of CEA results to reasonable drug cost measurement alternatives.
Microfluidic devices for stem-cell cultivation, differentiation and toxicity testing
NASA Astrophysics Data System (ADS)
Becker, Holger; Hansen-Hagge, Thomas; Kurtz, Andreas; Mrowka, Ralf; Wölfl, Stefan; Gärtner, Claudia
2017-02-01
The development of new drugs is time-consuming, extremely expensive and often promising drug candidates fail in late stages of the development process due to the lack of suitable tools to either predict toxicological effects or to test drug candidates in physiologically relevant environments prior to clinical tests. We therefore try to develop diagnostic multiorgan microfluidic chips based on patient specific induced pluripotent stem cell (iPS) technology to explore liver dependent toxic effects of drugs on individual human tissues such as liver or kidney cells. Based initially on standardized microfluidic modules for cell culture, we have developed integrated microfluidic devices which contain different chambers for cell/tissue cultivation. The devices are manufactured using injection molding of thermoplastic polymers such as polystyrene or cyclo-olefin polymer. In the project, suitable surface modification methods of the used materials had to be explored. We have been able to successfully demonstrate the seeding, cultivation and further differentiation of modified iPS, as shown by the use of differentiation markers, thus providing a suitable platform for toxicity testing and potential tissue-tissue interactions.
Advances in MRSA drug discovery: where are we and where do we need to be?
Kurosu, Michio; Siricilla, Shajila; Mitachi, Katsuhiko
2013-01-01
Introduction Methicillin-resistant Staphylococcus aureus (MRSA) have been on the increase during the past decade, due to the steady growth of the elderly and immunocompromised patients, and the emergence of multi-drug-resistant (MDR) bacterial strains. Although, only a limited number of anti-MRSA drugs are available, a number of different combination antimicrobial drug regimens have been used to treat serious MRSA infections. Thus, addition of several new antistaphylococcal drugs into clinical practice should broaden therapeutic options. Because MRSA is one of the most common and problematic bacteria associated with increasing antimicrobial resistance, continuous efforts on discovery of lead compounds as well as development of alternative therapies and faster diagnostics to ensure effective antistaphylococcal therapy are required. Areas covered This article summarizes the FDA approved drugs to treat MRSA infections, the drugs in clinical trials, and the drug leads for MRSA and related Gram-positive bacterial infections. In addition, the mode of action of antistaphylococcal molecules and resistant mechanisms of some molecules are briefly discussed. Expert opinion The number of pipeline drugs presently undergoing clinical trials is not particularly encouraging. There are limited and rather expensive therapeutic options for the infections by MRSA in the critically ill. This review article provides an update on antistaphylococcal drugs in clinical trials and antibacterial molecules effective against Gram-positive bacteria including MRSA. The structural and biological information of antibacterials summarized here are very useful for designing drug leads to develop into new anti-MRSA drugs. PMID:23829425
A Biologically-Based Computational Approach to Drug Repurposing for Anthrax Infection.
Bai, Jane P F; Sakellaropoulos, Theodore; Alexopoulos, Leonidas G
2017-03-10
Developing drugs to treat the toxic effects of lethal toxin (LT) and edema toxin (ET) produced by B. anthracis is of global interest . We utilized a computational approach to score 474 drugs/compounds for their ability to reverse the toxic effects of anthrax toxins. For each toxin or drug/compound, we constructed an activity network by using its differentially expressed genes, molecular targets, and protein interactions. Gene expression profiles of drugs were obtained from the Connectivity Map and those of anthrax toxins in human alveolar macrophages were obtained from the Gene Expression Omnibus. Drug rankings were based on the ability of a drug/compound's mode of action in the form of a signaling network to reverse the effects of anthrax toxins; literature reports were used to verify the top 10 and bottom 10 drugs/compounds identified. Simvastatin and bepridil with reported in vitro potency for protecting cells from LT and ET toxicities were computationally ranked fourth and eighth. The other top 10 drugs were fenofibrate, dihydroergotamine, cotinine, amantadine, mephenytoin, sotalol, ifosfamide, and mefloquine; literature mining revealed their potential protective effects from LT and ET toxicities. These drugs are worthy of investigation for their therapeutic benefits and might be used in combination with antibiotics for treating B. anthracis infection.
A Biologically-Based Computational Approach to Drug Repurposing for Anthrax Infection
Bai, Jane P. F.; Sakellaropoulos, Theodore; Alexopoulos, Leonidas G.
2017-01-01
Developing drugs to treat the toxic effects of lethal toxin (LT) and edema toxin (ET) produced by B. anthracis is of global interest. We utilized a computational approach to score 474 drugs/compounds for their ability to reverse the toxic effects of anthrax toxins. For each toxin or drug/compound, we constructed an activity network by using its differentially expressed genes, molecular targets, and protein interactions. Gene expression profiles of drugs were obtained from the Connectivity Map and those of anthrax toxins in human alveolar macrophages were obtained from the Gene Expression Omnibus. Drug rankings were based on the ability of a drug/compound’s mode of action in the form of a signaling network to reverse the effects of anthrax toxins; literature reports were used to verify the top 10 and bottom 10 drugs/compounds identified. Simvastatin and bepridil with reported in vitro potency for protecting cells from LT and ET toxicities were computationally ranked fourth and eighth. The other top 10 drugs were fenofibrate, dihydroergotamine, cotinine, amantadine, mephenytoin, sotalol, ifosfamide, and mefloquine; literature mining revealed their potential protective effects from LT and ET toxicities. These drugs are worthy of investigation for their therapeutic benefits and might be used in combination with antibiotics for treating B. anthracis infection. PMID:28287432
Research, public policy and drug abuse: current approaches and new directions.
Smith, J P
This article examines current U.S. research policy in the drug abuse field and comments on future directions. It discusses three main themes: (1) the relationship of national policy and research on drug abuse; (2) how research is planned and priorities are set at the National Institute on Drug Abuse; and (3) the need for a variety of policy studies on drug abuse to help develop more effective national prevention and control efforts. Examination of national policy statements on drug abuse supply and demand reduction issued by administrations from John F. Kennedy to Ronald W. Reagan suggests a lack of appreciation of the potential that research offers to aid public policy and an underutilization of research as a response to gaps in our knowledge of how to deal with drug problems. This paper proposes development of a National Research Strategy on Drug Abuse to identify research goals that reflect national policy needs. The importance and contribution of policy studies, as part of the National Research Strategy, are discussed with a plea for research to improve policy analysis and development.
Wan, Jian-bo; He, Chengwei; Hu, Yuanjia
2016-01-01
Despite the existence of available therapies, the Hepatitis B virus infection continues to be one of the most serious threats to human health, especially in developing countries such as China and India. To shed light on the improvement of current therapies and development of novel anti-HBV drugs, we thoroughly investigated 212 US patents of anti-HBV drugs and analyzed the technology flow in research and development of anti-HBV drugs based on data from IMS LifeCycle databases. Moreover, utilizing the patent citation method, which is an effective indicator of technology flow, we constructed patent citation network models and performed network analysis in order to reveal the features of different technology clusters. As a result, we identified the stagnant status of anti-HBV drug development and pointed the way for development of domestic pharmaceuticals in developing countries. We also discussed about therapeutic vaccines as the potential next generation therapy for HBV infection. Lastly, we depicted the cooperation between entities and found that novel forms of cooperation added diversity to the conventional form of cooperation within the pharmaceutical industry. In summary, our study provides inspiring insights for investors, policy makers, researchers, and other readers interested in anti-HBV drug development. PMID:27727319
Bolken, Tove C; Hruby, Dennis E
2008-01-01
The unmet need for effective antivirals against potential agents of bioterrorism and emerging infections is obvious; however, the challenges to develop such drugs are daunting. Even with the passage of Project BioShield and more recently the BARDA legislation, there is still not a clear market for these types of drugs and limited federal funding available to support expensive drug development studies. SIGA Technologies, Inc. is a small biotech company committed to developing novel products for the prevention and treatment of severe infectious diseases, with an emphasis on products for diseases that could result from bioterrorism. Through trials and error SIGA has developed an approach to this problem in order to establish the infrastructure necessary to successfully advance new antiviral drugs from the discovery stage on through to licensure. The approach that we have taken to drug development is biology driven and dependent on a dispersive development model utilizing essential collaborations with academic, federal, and private sector partners. This consortium approach requires success in acquiring grants and contracts as well as iterative communication with the government and regulatory agencies. However, it can work as evidenced by the rapid progress of our lead antiviral against smallpox, ST-246, and should serve as the template for development of new antivirals against important biological pathogens.
Quantitative prediction of drug side effects based on drug-related features.
Niu, Yanqing; Zhang, Wen
2017-09-01
Unexpected side effects of drugs are great concern in the drug development, and the identification of side effects is an important task. Recently, machine learning methods are proposed to predict the presence or absence of interested side effects for drugs, but it is difficult to make the accurate prediction for all of them. In this paper, we transform side effect profiles of drugs as their quantitative scores, by summing up their side effects with weights. The quantitative scores may measure the dangers of drugs, and thus help to compare the risk of different drugs. Here, we attempt to predict quantitative scores of drugs, namely the quantitative prediction. Specifically, we explore a variety of drug-related features and evaluate their discriminative powers for the quantitative prediction. Then, we consider several feature combination strategies (direct combination, average scoring ensemble combination) to integrate three informative features: chemical substructures, targets, and treatment indications. Finally, the average scoring ensemble model which produces the better performances is used as the final quantitative prediction model. Since weights for side effects are empirical values, we randomly generate different weights in the simulation experiments. The experimental results show that the quantitative method is robust to different weights, and produces satisfying results. Although other state-of-the-art methods cannot make the quantitative prediction directly, the prediction results can be transformed as the quantitative scores. By indirect comparison, the proposed method produces much better results than benchmark methods in the quantitative prediction. In conclusion, the proposed method is promising for the quantitative prediction of side effects, which may work cooperatively with existing state-of-the-art methods to reveal dangers of drugs.
Dong, Ling-yu; Du, Hong-ming; Wang, Peng; Wang, Li-yun; Li, Yi-ke; Zhai, Hong; Feng, Ting; Wang, Xiang-feng; Zhu, Qiao-you; Xie, Meng-xia
2015-11-01
The biological drug of the calf-blood dialysate has various pharmacological effects. It can promote the oxygen and glucose uptake for the hypoxia cells, and has beneficial effects on the malfunction of the blood circulation and trophic disturbances in the brain, and the impairment of peripheral blood circulation. Furthermore, it is favorable to wound healing and can regulate the central nervous system. Adenosine monophosphate (AMP) is a main active ingredient of the biological drug. In this report, a fluorescence resonance energy transfer (FRET) sensor has been developed with β-CD-capped ZnS QDs as energy donor and 3-hydroxyflavone (3-HF) as energy acceptor. The results showed that AMP can lead to the fluorescence quenching of the FRET sensor at 526 nm, and the Stern-Volmer curve between the fluorescence quenching and the concentrations of AMP present a satisfactory linearity with the correlation coefficient of 0.996. The developed sensor has successfully applied for determination of the AMP in the biological drug.
2016-01-01
There is an ongoing threat of epidemic or pandemic diseases that could be caused by influenza, Ebola or other emerging viruses. It will be difficult and costly to develop new drugs that target each of these viruses. Statins and angiotensin receptor blockers (ARBs) have been effective in treating patients with sepsis, pneumonia and influenza, and a statin/ARB combination appeared to dramatically reduce mortality during the recent Ebola outbreak. These drugs target (among other things) the endothelial dysfunction found in all of these diseases. Most scientists work on new drugs that target viruses, and few accept the idea of treating the host response with generic drugs. A great deal of research will be needed to show conclusively that these drugs work, and this will require the support of public agencies and foundations. Investigators in developing countries should take an active role in this research. If the next Public Health Emergency of International Concern is caused by an emerging virus, a “top down” approach to developing specific new drug treatments is unlikely to be effective. However, a “bottom up” approach to treatment that targets the host response to these viruses by using widely available and inexpensive generic drugs could reduce mortality in any country with a basic health care system. In doing so, it would make an immeasurable contribution to global equity and global security. PMID:27942512
Maru, Duncan Smith-Rohrberg; Kozal, Michael J; Bruce, R Douglas; Springer, Sandra A; Altice, Frederick L
2007-12-15
Directly administered antiretroviral therapy (DAART) is an effective intervention that improves clinical outcomes among HIV-infected drug users. Its effects on antiretroviral drug resistance, however, are unknown. We conducted a community-based, prospective, randomized controlled trial of DAART compared with self-administered therapy (SAT). We performed a modified intention-to-treat analysis among 115 subjects who provided serum samples for HIV genotypic resistance testing at baseline and at follow-up. The main outcomes measures included total genotypic sensitivity score, future drug options, number of new drug resistance mutations (DRMs), and number of new major International AIDS Society (IAS) mutations. The adjusted probability of developing at least 1 new DRM did not differ between the 2 arms (SAT: 0.41 per person-year [PPY], DAART: 0.49 PPY; adjusted relative risk [RR] = 1.04; P = 0.90), nor did the number of new mutations (SAT: 0.76 PPY, DAART: 0.83 PPY; adjusted RR = 0.99; P = 0.99) or the probability of developing new major IAS new drug mutations (SAT: 0.30 PPY, DAART: 0.33 PPY; adjusted RR = 1.12; P = 0.78). On measures of GSS and FDO, the 2 arms also did not differ. In this trial, DAART provided on-treatment virologic benefit for HIV-infected drug users without affecting the rate of development of antiretroviral medication resistance.
Hawkins, N; Golding, J
1995-01-01
Medication which is given to young infants during the first months of life, an important period of development, may have effects on development which would not be observed in adults receiving the same drugs. The aim of this study was to estimate the numbers of children receiving various types of medication, including both prescription and non-prescription drugs, during the first 6 months of life. Self-completion questionnaires were posted to mothers participating in the Avon Longitudinal Study of Pregnancy & Childhood (ALSPAC) when their children were 6 months of age. These questionnaires included enquiries about the administration of drugs to the study children. The study was based in the three Bristol-based health districts of Avon in the United Kingdom. The study population comprised of 6973 children born in the 12 month period between the 1st July 1991 and the 30th June 1992. The majority of mothers, 96%, reported that their children had received medication, excluding vaccines, during the first 6 months of life. 35% had been given drugs from four or more different classes. Paracetamol had been given to 84% of the children, antibiotics to 30%. In view of potential effects of drug exposure on long term development, it is important that drugs which are administered to children are carefully assessed to ensure that they are not harmful. PMID:8527273
Niu, Hongmei; Klem, Thomas; Yang, Jinsong; Qiu, Yongchang; Pan, Luying
2017-07-01
Monitoring anti-drug antibody (ADA) responses in patients receiving protein therapeutics treatment is an important safety assessment for regulatory agencies, drug manufacturers, clinicians and patients. Recombinant human IGF-1/IGFBP-3 (rhIGF-1/rhIGFBP-3) is a 1:1 formulation of naturally occurring protein complex. The individual IGF-1 and IGFBP-3 proteins have multiple binding partners in serum matrix with high binding affinity to each other, which presents challenges in ADA assay development. We have developed a biotin-drug extraction with acid dissociation (BEAD) procedure followed by an electrochemiluminescence (ECL) direct assay to overcome matrix and drug interference. The method utilizes two step acid dissociation and excess biotin-drug to extract total ADA, which are further captured by soluble biotin-drug and detected in an ECL semi-homogeneous direct assay format. The pre-treatment method effectively eliminates interference by serum matrix and free drug, and enhances assay sensitivity. The assays passed acceptance criteria for all validation parameters, and have been used for clinical sample Ab testing. This method principle exemplifies a new approach for anti-isotype ADA assays, and could be an effective strategy for neutralizing antibody (NAb), pharmacokinetic (PK) and biomarker analysis in need of overcoming interference factors. Copyright © 2017 Elsevier B.V. All rights reserved.
Hatakeyama, Hiroto
2018-01-01
Nucleic acid therapy is expected to be a next generation medicine. We recently developed a multifunctional envelope-type nano device (MEND) for use as a novel delivery system. The modification of polyethylene glycol (PEG), i.e., PEGylation, is useful for achieving the delivery of MENDs to tumors via an enhanced permeability and retention (EPR) effect. However, PEGylation strongly inhibits the cellular uptake and endosomal escape of MEND, which results in significant loss of action, and therefore lost effectiveness, of the cargo therapeutic. For successful nucleic acid delivery in cancer treatment, the crucial problem associated with the use of PEG, known as the "PEG dilemma", must be solved. In this review, we describe the development and application of MEND in overcoming the PEG dilemma based on manipulating both the pharmacokinetics and intracellular trafficking of cellular uptake and endosomal release using a cleavable PEG lipid, a pH-sensitive fusogenic peptide, and a pH-sensitive cationic lipid. We also developed dual-ligand liposomes with a controlled diameter of around 300 nm, then modified these with a specific ligand and a cell penetrating peptide designed to target the neovasculature of tumors. Dual-ligand liposomes could induce an anti-tumor effect in drug resistant tumors by delivering drugs to tumor blood vessels, rather than to the cancer cells themselves. Here, we review our recent efforts to develop a novel liposomal drug delivery system (DDS) by manipulating pharmacokinetics and intracellular trafficking for drug therapy and nucleic acid medicine.
Cell based assays for anti-Plasmodium activity evaluation.
Mokgethi-Morule, Thabang; N'Da, David D
2016-03-10
Malaria remains one of the most common and deadly infectious diseases worldwide. The severity of this global public health challenge is reflected by the approximately 198 million people, who were reportedly infected in 2013 and by the more than 584,000 related deaths in that same year. The rising emergence of drug resistance towards the once effective artemisinin combination therapies (ACTs) has become a serious concern and warrants more robust drug development strategies, with the objective of eradicating malaria infections. The intricate biology and life cycle of Plasmodium parasites complicate the understanding of the disease in such a way that would enhance the development of more effective chemotherapies that would achieve radical clinical cure and that would prevent disease relapse. Phenotypic cell based assays have for long been a valuable approach and involve the screening and analysis of diverse compounds with regards to their activities towards whole Plasmodium parasites in vitro. To achieve the Millennium Development Goal (MDG) of malaria eradication by 2020, new generation drugs that are active against all parasite stages (erythrocytic (blood), exo-erythrocytic (liver stages and gametocytes)) are needed. Significant advances are being made in assay development to overcome some of the practical challenges of assessing drug efficacy, particularly in the liver and transmission stage Plasmodium models. This review discusses primary screening models and the fundamental progress being made in whole cell based efficacy screens of anti-malarial activity. Ongoing challenges and some opportunities for improvements in assay development that would assist in the discovery of effective, safe and affordable drugs for malaria treatments are also discussed. Copyright © 2016 Elsevier B.V. All rights reserved.
Schmidt, Lars E; Dalhoff, Kim
2002-01-01
Interactions between food and drugs may inadvertently reduce or increase the drug effect. The majority of clinically relevant food-drug interactions are caused by food-induced changes in the bioavailability of the drug. Since the bioavailability and clinical effect of most drugs are correlated, the bioavailability is an important pharmacokinetic effect parameter. However, in order to evaluate the clinical relevance of a food-drug interaction, the impact of food intake on the clinical effect of the drug has to be quantified as well. As a result of quality review in healthcare systems, healthcare providers are increasingly required to develop methods for identifying and preventing adverse food-drug interactions. In this review of original literature, we have tried to provide both pharmacokinetic and clinical effect parameters of clinically relevant food-drug interactions. The most important interactions are those associated with a high risk of treatment failure arising from a significantly reduced bioavailability in the fed state. Such interactions are frequently caused by chelation with components in food (as occurs with alendronic acid, clodronic acid, didanosine, etidronic acid, penicillamine and tetracycline) or dairy products (ciprofloxacin and norfloxacin), or by other direct interactions between the drug and certain food components (avitriptan, indinavir, itraconazole solution, levodopa, melphalan, mercaptopurine and perindopril). In addition, the physiological response to food intake, in particular gastric acid secretion, may reduce the bioavailability of certain drugs (ampicillin, azithromycin capsules, didanosine, erythromycin stearate or enteric coated, and isoniazid). For other drugs, concomitant food intake may result in an increase in drug bioavailability either because of a food-induced increase in drug solubility (albendazole, atovaquone, griseofulvin, isotretinoin, lovastatin, mefloquine, saquinavir and tacrolimus) or because of the secretion of gastric acid (itraconazole capsules) or bile (griseofulvin and halofantrine) in response to food intake. For most drugs, such an increase results in a desired increase in drug effect, but in others it may result in serious toxicity (halofantrine).
Are we pharmacovigilant enough in ophthalmic practice?
Dubey, Ashok; Handu, Shailendra S
2013-01-01
No drug is absolutely safe. Pharmacovigilance is the science related to detection, assessment, understanding and prevention of adverse effects or any other possible drug-related problems. The ocular medications and devices can cause localized and systemic adverse effects. Not all adverse effects are known when a drug or device is launched in market because of limitations of clinical trials. Many adverse effects are recognized due to the spontaneous reporting of the vigilant doctors who observe and report such events encountered in their practice. Despite a large ophthalmic patient population base, India does not have robust adverse drug reaction (ADR) database because of lack of reporting culture. Government of India recently launched the Pharmacovigilance Programme of India (PvPI) to monitor ADRs and create awareness among the healthcare professionals about the importance of ADRs. Suspecting and reporting a possible drug reaction is very important in developing a safe and rational ophthalmic practice. PMID:23571233
Effect of fetal alcohol exposure on adult symptoms of nicotine, alcohol, and drug dependence.
Yates, W R; Cadoret, R J; Troughton, E P; Stewart, M; Giunta, T S
1998-06-01
The objective of this study is to examine the effect of fetal alcohol exposure on later substance dependence using an adoption study method. One hundred ninety-seven adoptees were interviewed for substance abuse disorders, including nicotine, alcohol, and drug dependence. Twenty-one adoptees had mothers who drank during pregnancy. Adoptees with fetal alcohol exposure were compared with those without fetal alcohol exposure for symptoms of adult nicotine, alcohol, and drug dependence. Adoptee symptom counts for alcohol, drug, and nicotine dependence were higher for those exposed to alcohol in utero. The effect of fetal alcohol exposure remained after controlling for gender, biological parent alcohol dependence diagnosis, birth weight, gestational age and other environmental variables. Fetal alcohol exposure may produce increased risk for later nicotine, alcohol, and drug dependence. Possible effects of fetal alcohol exposure on development of adult substance use patterns needs attention in genetic studies of substance abuse.
Effect of tumor shape, size, and tissue transport properties on drug delivery to solid tumors
2014-01-01
Background The computational methods provide condition for investigation related to the process of drug delivery, such as convection and diffusion of drug in extracellular matrices, drug extravasation from microvessels or to lymphatic vessels. The information of this process clarifies the mechanisms of drug delivery from the injection site to absorption by a solid tumor. In this study, an advanced numerical method is used to solve fluid flow and solute transport equations simultaneously to investigate the effect of tumor shape and size on drug delivery to solid tumor. Methods The advanced mathematical model used in our previous work is further developed by adding solute transport equation to the governing equations. After applying appropriate boundary and initial conditions on tumor and surrounding tissue geometry, the element-based finite volume method is used for solving governing equations of drug delivery in solid tumor. Also, the effects of size and shape of tumor and some of tissue transport parameters such as effective pressure and hydraulic conductivity on interstitial fluid flow and drug delivery are investigated. Results Sensitivity analysis shows that drug delivery in prolate shape is significantly better than other tumor shapes. Considering size effect, increasing tumor size decreases drug concentration in interstitial fluid. This study shows that dependency of drug concentration in interstitial fluid to osmotic and intravascular pressure is negligible. Conclusions This study shows that among diffusion and convection mechanisms of drug transport, diffusion is dominant in most different tumor shapes and sizes. In tumors in which the convection has considerable effect, the drug concentration is larger than that of other tumors at the same time post injection. PMID:24987457
Modeling Liver-Related Adverse Effects of Drugs Using kNN QSAR Method
Rodgers, Amie D.; Zhu, Hao; Fourches, Dennis; Rusyn, Ivan; Tropsha, Alexander
2010-01-01
Adverse effects of drugs (AEDs) continue to be a major cause of drug withdrawals both in development and post-marketing. While liver-related AEDs are a major concern for drug safety, there are few in silico models for predicting human liver toxicity for drug candidates. We have applied the Quantitative Structure Activity Relationship (QSAR) approach to model liver AEDs. In this study, we aimed to construct a QSAR model capable of binary classification (active vs. inactive) of drugs for liver AEDs based on chemical structure. To build QSAR models, we have employed an FDA spontaneous reporting database of human liver AEDs (elevations in activity of serum liver enzymes), which contains data on approximately 500 approved drugs. Approximately 200 compounds with wide clinical data coverage, structural similarity and balanced (40/60) active/inactive ratio were selected for modeling and divided into multiple training/test and external validation sets. QSAR models were developed using the k nearest neighbor method and validated using external datasets. Models with high sensitivity (>73%) and specificity (>94%) for prediction of liver AEDs in external validation sets were developed. To test applicability of the models, three chemical databases (World Drug Index, Prestwick Chemical Library, and Biowisdom Liver Intelligence Module) were screened in silico and the validity of predictions was determined, where possible, by comparing model-based classification with assertions in publicly available literature. Validated QSAR models of liver AEDs based on the data from the FDA spontaneous reporting system can be employed as sensitive and specific predictors of AEDs in pre-clinical screening of drug candidates for potential hepatotoxicity in humans. PMID:20192250
Conter, Henry J.; Chu, Quincy S.C.
2012-01-01
Purpose: Pharmaceutical development involves substantial financial risk. This risk, rising development costs, and the promotion of continued research and development have been cited as major drivers in the progressive increase in drug prices. Currently, cost-effective analyses are being used to determine the value of treatment. However, cost-effective analyses practically function as a threshold for value and do not directly address the rationale for drug prices. We set out to create a functional model for industry price decisions and clarify the minimum acceptable profitability of new drugs. Methods: Assuming that industry should only invest in profitable ventures, we employed a linear cost-volume-profit breakeven analysis to equate initial capital investment and risk and post–drug-approval profits, where drug development represents the bulk of investment. A Markov decision analysis model was also used to define the relationships between investment events risk. A systematic literature search was performed to determine event probabilities, clinical trial costs, and total expenses as inputs into the model. Disease-specific inputs, current market size across regions, and lengths of treatment for cancer types were also included. Results: With development of single novel chemotherapies costing from $802 to $1,042 million (2002 US dollars), pharmaceutical profits should range from $4.3 to $5.2 billion, with an expected rate of return on investment of 11% annually. However, diversification across cancer types for chemotherapy can reduce the minimum required profit to less than $3 billion. For optimal diversification, industry should study four tumor types per drug; however, nonprofit organizations could tolerate eight parallel development tracks to minimize the risk of development failure. Assuming that pharmaceutical companies hold exclusive rights for drug sales for only 5 years after market approval, the minimum required profit per drug per month per patient ranges from $294 for end-stage lung cancer to $3,231 for end-stage renal cell carcinoma. Conclusion: Pharmaceutical development in oncology is costly, with substantial risk, but is also highly profitable. Minimum acceptable profits per drug per month of treatment per patient vary with prevalence of disease, but they should be less than $5,000 per month of treatment in the developed world. Minimum acceptable profits may be lower for treatments with additional efficacy in the earlier stages of a tumor type. However, this type of event could not be statistically modeled. PMID:29447097
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning
Chen, Ming; Wang, Quanxin; Zhang, Lixin; Yan, Guiying
2016-01-01
Fungal infection has become one of the leading causes of hospital-acquired infections with high mortality rates. Furthermore, drug resistance is common for fungus-causing diseases. Synergistic drug combinations could provide an effective strategy to overcome drug resistance. Meanwhile, synergistic drug combinations can increase treatment efficacy and decrease drug dosage to avoid toxicity. Therefore, computational prediction of synergistic drug combinations for fungus-causing diseases becomes attractive. In this study, we proposed similar nature of drug combinations: principal drugs which obtain synergistic effect with similar adjuvant drugs are often similar and vice versa. Furthermore, we developed a novel algorithm termed Network-based Laplacian regularized Least Square Synergistic drug combination prediction (NLLSS) to predict potential synergistic drug combinations by integrating different kinds of information such as known synergistic drug combinations, drug-target interactions, and drug chemical structures. We applied NLLSS to predict antifungal synergistic drug combinations and showed that it achieved excellent performance both in terms of cross validation and independent prediction. Finally, we performed biological experiments for fungal pathogen Candida albicans to confirm 7 out of 13 predicted antifungal synergistic drug combinations. NLLSS provides an efficient strategy to identify potential synergistic antifungal combinations. PMID:27415801
Stress, habits, and drug addiction: a psychoneuroendocrinological perspective.
Schwabe, Lars; Dickinson, Anthony; Wolf, Oliver T
2011-02-01
It is well known that stress is a significant risk factor for the development of drug addiction and addiction relapse. Remarkably, the cognitive processes involved in the effects of stress on addictive behavior remain poorly understood. Here it is proposed that stress-induced changes in the neural circuits controlling instrumental action provide a potential mechanism by which stress affects the development of addiction and relapse vulnerability. Instrumental action can be controlled by two anatomically distinct systems: a goal-directed system that involves learning of action-outcome associations, and a habit system that learns stimulus-response associations. The transition from initial voluntary drug use to subsequent involuntary, compulsive drug use represents a switch from goal-directed to habitual control of action. Recent evidence indicates that this switch from goal-directed to habit action can be prompted by stress and stress hormones. We argue (i) that acute stressors reinstate habitual responding to drug-related cues and thus trigger relapse to addictive behavior, and (ii) that prolonged or repeated stress may accelerate the transition from voluntary to involuntary drug use and thus promote the development of addiction. The suggested mechanism encompasses cognitive processes that may contribute to the effects of stress on addictive behavior and could have important implications for the treatment of addiction and the prevention of relapse. (c) 2011 APA, all rights reserved
Mendelian randomisation in cardiovascular research: an introduction for clinicians
Bennett, Derrick A; Holmes, Michael V
2017-01-01
Understanding the causal role of biomarkers in cardiovascular and other diseases is crucial in order to find effective approaches (including pharmacological therapies) for disease treatment and prevention. Classical observational studies provide naïve estimates of the likely role of biomarkers in disease development; however, such studies are prone to bias. This has direct relevance for drug development as if drug targets track to non-causal biomarkers, this can lead to expensive failure of these drugs in phase III randomised controlled trials. In an effort to provide a more reliable indication of the likely causal role of a biomarker in the development of disease, Mendelian randomisation studies are increasingly used, and this is facilitated by the availability of large-scale genetic data. We conducted a narrative review in order to provide a description of the utility of Mendelian randomisation for clinicians engaged in cardiovascular research. We describe the rationale and provide a basic description of the methods and potential limitations of Mendelian randomisation. We give examples from the literature where Mendelian randomisation has provided pivotal information for drug discovery including predicting efficacy, informing on target-mediated adverse effects and providing potential new evidence for drug repurposing. The variety of the examples presented illustrates the importance of Mendelian randomisation in order to prioritise drug targets for cardiovascular research. PMID:28596306
The evaluation of cardiovascular side-effects is a critical element in the development of all new drugs and chemicals. Cardiac safety issues have been and continue to be a major cause of attrition and withdrawal due to Adverse Drug Reactions (ADRs) in pharmaceutical drug developm...
Mind Over Matter: The Brain's Response to Drugs. Teacher's Guide.
ERIC Educational Resources Information Center
National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.
This teacher's guide aims to develop an understanding among students grades 5 through 9 of the physical reality of drug use. Contents include: (1) "Brain Anatomy"; (2) "Nerve Cells and Neurotransmission"; (3) "Effects of Drugs on the Brain"; (4) "Marijuana"; (5) "Opiates"; (6) "Inhalants"; (7) "Hallucinogens"; (8) "Steroids"; (9) "Stimulants";…
Missouri Curriculum Guide for Alcohol and Drug Education Programs.
ERIC Educational Resources Information Center
Pierce, Don; McClain, Robert
This document presents the Alcohol and Drug Education Programs (ADEP) curriculum guide developed by the Missouri Department of Mental Health to provide education programs for individuals under the age of 21 convicted of certain alcohol and drug related offenses. An introduction is followed by a section on substances of abuse and their effects.…
The Social Context of Alcohol and Drug Education: Implications for Program Effectiveness.
ERIC Educational Resources Information Center
Weisheit, Ralph A.
1983-01-01
Argues that the design of current alcohol and drug education programs precludes their having a substantial impact on adolescent alcohol or drug use. Suggests that evaluators consider only limited aspects of these programs which leads to narrow definition of success and restricts input into program development and modification. (LLL)
The Best Prevention: Model Alcohol and Drug Education Program. NHTSA Prevention Guide.
ERIC Educational Resources Information Center
National Highway Traffic Safety Administration (DOT), Washington, DC.
This guide was created for school administrators, parents, teachers, and community groups interested in developing effective alcohol and drug abuse prevention programs for elementary and secondary schools. A comprehensive approach to school-based alcohol and drug prevention is described and various prevention activities which have been selected by…
Ardal, Christine; Alstadsæter, Annette; Røttingen, John-Arne
2011-09-28
Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery. A systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project. Common characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined. We believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents.
Novel Approaches to Pulmonary Arterial Hypertension Drug Discovery
Sung, Yon K.; Yuan, Ke; de Jesus Perez, Vinicio A.
2016-01-01
Introduction Pulmonary arterial hypertension (PAH) is a rare disorder associated with abnormally elevated pulmonary pressures that, if untreated, leads to right heart failure and premature death. The goal of drug development for PAH is to develop effective therapies that halt, or ideally, reverse the obliterative vasculopathy that results in vessel loss and obstruction of blood flow to the lungs. Areas Covered This review summarizes the current approach to candidate discovery in PAH and discusses the currently available drug discovery methods that should be implemented to prioritize targets and obtain a comprehensive pharmacological profile of promising compounds with well-defined mechanisms. Expert opinion To improve the successful identification of leading drug candidates, it is necessary that traditional pre-clinical studies are combined with drug screening strategies that maximize the characterization of biological activity and identify relevant off-target effects that could hinder the clinical efficacy of the compound when tested in human subjects. A successful drug discovery strategy in PAH will require collaboration of clinician scientists with medicinal chemists and pharmacologists who can identify compounds with an adequate safety profile and biological activity against relevant disease mechanisms. PMID:26901465
Recent Advances in Drug Eluting Stents
Puranik, Amey S.; Dawson, Eileen R.; Peppas, Nicholas A.
2013-01-01
One of the most common medical interventions to reopen an occluded vessel is the implantation of a coronary stent. While this method of treatment is effective initially, restenosis, or the re-narrowing of the artery frequently occurs largely due to neointimal hyperplasia of smooth muscle cells. Drug eluting stents were developed in order to provide local, site-specific, controlled release of drugs that can inhibit neointima formation. By implementing a controlled release delivery system it may be possible to control the time release of the pharmacological factors and thus be able to bypass some of the critical events associated with stent hyperplasia and prevent the need for subsequent intervention. However, since the advent of first-generation drug eluting stents, long-term adverse effects have raised concerns regarding their safety. These limitations in safety and efficacy have triggered considerable research in developing biodegradable stents and more potent drug delivery systems. In this review, we shed light on the current state-of-the-art in drug eluting stents, problems related to them and highlight some of the ongoing research in this area. PMID:23117022
Recent Advances of Cocktail Chemotherapy by Combination Drug Delivery Systems
Hu, Quanyin; Sun, Wujin; Wang, Chao; Gu, Zhen
2016-01-01
Combination chemotherapy is widely exploited for enhanced cancer treatment in clinic. However, the traditional cocktail administration of combination regimens often suffers from varying pharmacokinetics among different drugs. The emergence of nanotechnology offers an unparalleled opportunity for developing advanced combination drug delivery strategies with the ability to encapsulate various drugs simultaneously and unify the pharmacokinetics of each drug. This review surveys the most recent advances in combination delivery of multiple small molecule chemotherapeutics using nanocarriers. The mechanisms underlying combination chemotherapy, including the synergistic, additive and potentiation effects, are also discussed with typical examples. We further highlight the sequential and site-specific co-delivery strategies, which provide new guidelines for development of programmable combination drug delivery systems. Clinical outlook and challenges are also discussed in the end. PMID:26546751
The discovery of drug-induced illness.
Jick, H
1977-03-03
The increased use of drugs (and the concurrent increased risks of drug-induced illness) require definition of relevant research areas and strategy. For established marketed drugs, research needs depend on the magnitudes of risk of an illness from a drug and the base-line risk. With the drug risk high and the base-line risk low, the problem surfaces in premarketing studies or through the epidemic that develops after marketing. If the drug adds slightly to a high base-line risk, the effect is undetectable. When both risks are low, adverse effects can be discovered by chance, but systematic case-referent studies can speed discovery. If both risks are high, clinical trials and nonexperimental studies may be used. With both risks intermediate, systematic evaluations, especially case-referent studies are needed. Newly marketed drugs should be routinely evaluated through compulsory registration and follow-up study of the earliest users.
NASA Astrophysics Data System (ADS)
Zhou, Jiang-Ling; Song, Fei; Tian, Jia-Feng; Nie, Wu-Cheng; Wang, Xiu-Li; Wang, Yu-Zhong
2017-07-01
The development of environmentally responsive drug delivery systems for the treatment of cancer has attracted particular interest in recent years. However, the enhancement of drug loading capacity and realization of pH-responsive drug delivery remain challenging. Herein, we employ carboxymethyl curdlan as a hydrophilic carrier to wrap doxorubicin (DOX) directly via electrostatic interaction. The sizes of the formed nanoparticles can be simply tuned by changing their feeding ratios. In particular, the nanoparticles are highly stable in aqueous solution without size variation. In vitro drug release and cytotoxicity assays illustrate that this delivery system can release DOX differentially under various environmental conditions and transport it into cell nuclei efficiently, with comparable therapeutic effect to the free drug. These results suggest that the carrying of antitumor drugs by polysaccharide via electrostatic interaction is a simple but effective way to construct a pH-dependent drug delivery platform.
Vieira, Débora B; Gamarra, Lionel F
2016-01-01
This review summarizes articles that have been reported in literature on liposome-based strategies for effective drug delivery across the blood–brain barrier. Due to their unique physicochemical characteristics, liposomes have been widely investigated for their application in drug delivery and in vivo bioimaging for the treatment and/or diagnosis of neurological diseases, such as Alzheimer’s, Parkinson’s, stroke, and glioma. Several strategies have been used to deliver drug and/or imaging agents to the brain. Covalent ligation of such macromolecules as peptides, antibodies, and RNA aptamers is an effective method for receptor-targeting liposomes, which allows their blood–brain barrier penetration and/or the delivery of their therapeutic molecule specifically to the disease site. Additionally, methods have been employed for the development of liposomes that can respond to external stimuli. It can be concluded that the development of liposomes for brain delivery is still in its infancy, although these systems have the potential to revolutionize the ways in which medicine is administered. PMID:27799765
Vieira, Débora B; Gamarra, Lionel F
This review summarizes articles that have been reported in literature on liposome-based strategies for effective drug delivery across the blood-brain barrier. Due to their unique physicochemical characteristics, liposomes have been widely investigated for their application in drug delivery and in vivo bioimaging for the treatment and/or diagnosis of neurological diseases, such as Alzheimer's, Parkinson's, stroke, and glioma. Several strategies have been used to deliver drug and/or imaging agents to the brain. Covalent ligation of such macromolecules as peptides, antibodies, and RNA aptamers is an effective method for receptor-targeting liposomes, which allows their blood-brain barrier penetration and/or the delivery of their therapeutic molecule specifically to the disease site. Additionally, methods have been employed for the development of liposomes that can respond to external stimuli. It can be concluded that the development of liposomes for brain delivery is still in its infancy, although these systems have the potential to revolutionize the ways in which medicine is administered.
Schramm-Sapyta, Nicole L; DiFeliceantonio, Alexandra G; Foscue, Ethan; Glowacz, Susan; Haseeb, Naadeyah; Wang, Nancy; Zhou, Cathy; Kuhn, Cynthia M
2010-12-01
Many people experiment with alcohol and other drugs of abuse during their teenage years. Epidemiological evidence suggests that younger initiates into drug taking are more likely to develop problematic drug seeking behavior, including binge and other high-intake behaviors. The level of drug intake for any individual depends on the balance of rewarding and aversive effects of the drug in that individual. Multiple rodent studies have demonstrated that aversive effects of drugs of abuse are reduced in adolescent compared to adult animals. In this study, we addressed 2 key questions: First, do reduced aversive effects of ethanol in younger rats correlate with increased ethanol consumption? Second, are the reduced aversive effects in adolescents attributable to reduced sensitivity to ethanol's physiologic effects? Adolescent and adult rats were tested for ethanol conditioned taste aversion (CTA) followed by a voluntary drinking period, including postdeprivation consumption. Multivariate regression was used to assess correlations. In separate experiments, adolescent and adult rats were tested for their sensitivity to the hypothermic and sedative effects of ethanol, and for blood ethanol concentrations (BECs). We observed that in adolescent rats but not adults, taste aversion was inversely correlated with postdeprivation consumption. Adolescents also exhibited a greater increase in consumption after deprivation than adults. Furthermore, the age difference in ethanol CTA was not attributable to differences in hypothermia, sedation, or BECs. These results suggest that during adolescence, individuals that are insensitive to aversive effects are most likely to develop problem drinking behaviors. These results underscore the importance of the interaction between developmental stage and individual variation in sensitivity to alcohol. Copyright © 2010 by the Research Society on Alcoholism.
Microfluidics for Antibiotic Susceptibility and Toxicity Testing
Dai, Jing; Hamon, Morgan; Jambovane, Sachin
2016-01-01
The recent emergence of antimicrobial resistance has become a major concern for worldwide policy makers as very few new antibiotics have been developed in the last twenty-five years. To prevent the death of millions of people worldwide, there is an urgent need for a cheap, fast and accurate set of tools and techniques that can help to discover and develop new antimicrobial drugs. In the past decade, microfluidic platforms have emerged as potential systems for conducting pharmacological studies. Recent studies have demonstrated that microfluidic platforms can perform rapid antibiotic susceptibility tests to evaluate antimicrobial drugs’ efficacy. In addition, the development of cell-on-a-chip and organ-on-a-chip platforms have enabled the early drug testing, providing more accurate insights into conventional cell cultures on the drug pharmacokinetics and toxicity, at the early and cheaper stage of drug development, i.e., prior to animal and human testing. In this review, we focus on the recent developments of microfluidic platforms for rapid antibiotics susceptibility testing, investigating bacterial persistence and non-growing but metabolically active (NGMA) bacteria, evaluating antibiotic effectiveness on biofilms and combinatorial effect of antibiotics, as well as microfluidic platforms that can be used for in vitro antibiotic toxicity testing. PMID:28952587
Batchelor, Hannah K.
2015-01-01
The objective of this paper was to review existing information regarding food effects on drug absorption within paediatric populations. Mechanisms that underpin food–drug interactions were examined to consider potential differences between adult and paediatric populations, to provide insights into how this may alter the pharmacokinetic profile in a child. Relevant literature was searched to retrieve information on food–drug interaction studies undertaken on: (i) paediatric oral drug formulations; and (ii) within paediatric populations. The applicability of existing methodology to predict food effects in adult populations was evaluated with respect to paediatric populations where clinical data was available. Several differences in physiology, anatomy and the composition of food consumed within a paediatric population are likely to lead to food–drug interactions that cannot be predicted based on adult studies. Existing methods to predict food effects cannot be directly extrapolated to allow predictions within paediatric populations. Development of systematic methods and guidelines is needed to address the general lack of information on examining food–drug interactions within paediatric populations. PMID:27417362
Threshold virus dynamics with impulsive antiretroviral drug effects
Lou, Jie; Lou, Yijun; Wu, Jianhong
2013-01-01
The purposes of this paper are twofold: to develop a rigorous approach to analyze the threshold behaviors of nonlinear virus dynamics models with impulsive drug effects and to examine the feasibility of virus clearance following the Manuals of National AIDS Free Antiviral Treatment in China. An impulsive system of differential equations is developed to describe the within-host virus dynamics of both wild-type and drug-resistant strains when a combination of antiretroviral drugs is used to induce instantaneous drug effects at a sequence of dosing times equally spaced while drug concentrations decay exponentially after the dosing time. Threshold parameters are derived using the basic reproduction number of periodic epidemic models, and are used to depict virus clearance/persistence scenarios using the theory of asymptotic periodic systems and the persistence theory of discrete dynamical systems. Numerical simulations using model systems parametrized in terms of the antiretroviral therapy recommended in the aforementioned Manuals illustrate the theoretical threshold virus dynamics, and examine conditions under which the impulsive antiretroviral therapy leads to treatment success. In particular, our results show that only the drug-resistant strain can dominate (the first-line treatment program guided by the Manuals) or both strains may be rapidly eliminated (the second-line treatment program), thus the work indicates the importance of implementing the second-line treatment program as soon as possible. PMID:21987085
Rational drug design paradigms: the odyssey for designing better drugs.
Kellici, Tahsin; Ntountaniotis, Dimitrios; Vrontaki, Eleni; Liapakis, George; Moutevelis-Minakakis, Panagiota; Kokotos, George; Hadjikakou, Sotiris; Tzakos, Andreas G; Afantitis, Antreas; Melagraki, Georgia; Bryant, Sharon; Langer, Thierry; Di Marzo, Vincenzo; Mavromoustakos, Thomas
2015-01-01
Due to the time and effort requirements for the development of a new drug, and the high attrition rates associated with this developmental process, there is an intense effort by academic and industrial researchers to find novel ways for more effective drug development schemes. The first step in the discovery process of a new drug is the identification of the lead compound. The modern research tendency is to avoid the synthesis of new molecules based on chemical intuition, which is time and cost consuming, and instead to apply in silico rational drug design. This approach reduces the consumables and human personnel involved in the initial steps of the drug design. In this review real examples from our research activity aiming to discover new leads will be given for various dire warnings diseases. There is no recipe to follow for discovering new leads. The strategy to be followed depends on the knowledge of the studied system and the experience of the researchers. The described examples constitute successful and unsuccessful efforts and reflect the reality which medicinal chemists have to face in drug design and development. The drug stability is also discussed in both organic molecules and metallotherapeutics. This is an important issue in drug discovery as drug metabolism in the body can lead to various toxic and undesired molecules.
Overcoming antifungal resistance
Srinivasan, Anand; Lopez-Ribot, Jose L.; Ramasubramanian, Anand K.
2014-01-01
Fungal infections have become one of the major causes of morbidity and mortality in immunocompromised patients. Despite increased awareness and improved treatment strategies, the frequent development of resistance to the antifungal drugs used in clinical settings contributes to the increasing toll of mycoses. Although a natural phenomenon, antifungal drug resistance can compromise advances in the development of effective diagnostic techniques and novel antifungals. In this review, we will discuss the advent of cellular-microarrays, microfluidics, genomics, proteomics and other state-of-the art technologies in conquering antifungal drug resistance. PMID:24847655
Terplan, M; Lui, S
2007-10-17
Illicit drug use in pregnancy is a complex social and public health problem. It is important to develop and evaluate effective treatments. There is evidence for the effectiveness of psychosocial in this population; however, to our knowledge, no systematic review on the subject has been undertaken. To evaluate the effectiveness of psychosocial interventions in pregnant women enrolled in illicit drug treatment programs on birth and neonatal outcomes, on attendance and retention in treatment, as well as on maternal and neonatal drug abstinence. In short, do psychosocial interventions translate into less illicit drug use, greater abstinence, better birth outcomes, or greater clinic attendance.? We searched the Cochrane Drugs and Alcohol Group's trial register (May 2006), the Cochrane Central Register of Trials (Central- The Cochrane Library, Issue 3, 2005); MEDLINE (1.1996-8.2006); EMBASE (1.1996-8.2006); CINAHL (1.1982-8.2006), and reference lists of articles. Randomised studies comparing any psychosocial intervention versus pharmacological interventions or placebo or non-intervention or another psychosocial intervention for treating illicit drug use in pregnancy. Two reviewers independently assessed trial quality and extracted data. Nine trials involving 546 pregnant women were included. Five studies considered contingency management (CM), and four studies considered manual based interventions such as motivational interviewing (MI). The main finding was that contingency management led to better study retention. There was only minimal effect of CM on illicit drug abstinence. In contrast, motivational interviewing led towards poorer study retention, although this did not approach statistical significance. For both, no difference in birth or neonatal outcomes was found, but this was an outcome rarely captured in the studies. The present evidence suggests that CM strategies are effective in improving retention of pregnant women in illicit drug treatment programs as well as in transiently reducing illicit drug use. There is insufficient evidence to support the use of MI. Overall the available evidence has low numbers and, therefore, it is impossible to accurately assess the effect of psychosocial interventions on obstetrical and neonatal outcomes. It is important to develop a better evidence base to evaluate psychosocial modalities of treatment in this important population.
Combinative Particle Size Reduction Technologies for the Production of Drug Nanocrystals
Salazar, Jaime; Müller, Rainer H.; Möschwitzer, Jan P.
2014-01-01
Nanosizing is a suitable method to enhance the dissolution rate and therefore the bioavailability of poorly soluble drugs. The success of the particle size reduction processes depends on critical factors such as the employed technology, equipment, and drug physicochemical properties. High pressure homogenization and wet bead milling are standard comminution techniques that have been already employed to successfully formulate poorly soluble drugs and bring them to market. However, these techniques have limitations in their particle size reduction performance, such as long production times and the necessity of employing a micronized drug as the starting material. This review article discusses the development of combinative methods, such as the NANOEDGE, H 96, H 69, H 42, and CT technologies. These processes were developed to improve the particle size reduction effectiveness of the standard techniques. These novel technologies can combine bottom-up and/or top-down techniques in a two-step process. The combinative processes lead in general to improved particle size reduction effectiveness. Faster production of drug nanocrystals and smaller final mean particle sizes are among the main advantages. The combinative particle size reduction technologies are very useful formulation tools, and they will continue acquiring importance for the production of drug nanocrystals. PMID:26556191
Drug-resistant gram-negative uropathogens: A review.
Khoshnood, Saeed; Heidary, Mohsen; Mirnejad, Reza; Bahramian, Aghil; Sedighi, Mansour; Mirzaei, Habibollah
2017-10-01
Urinary tract infection(UTI) caused by Gram-negative bacteria is the second most common infectious presentation in community medical practice. Approximately 150 million people are diagnosed with UTI each year worldwide. Drug resistance in Gram-negative uropathogens is a major global concern which can lead to poor clinical outcomes including treatment failure, development of bacteremia, requirement for intravenous therapy, hospitalization, and extended length of hospital stay. The mechanisms of drug resistance in these bacteria are important due to they are often not identified by routine susceptibility tests and have an exceptional potential for outbreaks. Treatment of UTIs depends on the access to effective drugs, which is now threatened by antibiotic resistant Gram-negative uropathogens. Although several effective antibiotics with activity against highly resistant Gram-negatives are available, there is not a unique antibiotic with activity against the high variety of resistance. Therefore, antimicrobial susceptibility tests, correlation between clinicians and laboratories, development of more rapid diagnostic methods, and continuous monitoring of drug resistance are urgent priorities. In this review, we will discuss about the current global status of drug-resistant Gram-negative uropathogens and their mechanisms of drug resistance to provide new insights into their treatment options. Copyright © 2017 Elsevier Masson SAS. All rights reserved.
Bioavailability enhancers of herbal origin: An overview
Kesarwani, Kritika; Gupta, Rajiv
2013-01-01
Recently, the use of herbal medicines has been increased all over the world due to their therapeutic effects and fewer adverse effects as compared to the modern medicines. However, many herbal drugs and herbal extracts despite of their impressive in-vitro findings demonstrates less or negligible in-vivo activity due to their poor lipid solubility or improper molecular size, resulting in poor absorption and hence poor bioavailability. Nowadays with the advancement in the technology, novel drug delivery systems open the door towards the development of enhancing bioavailability of herbal drug delivery systems. For last one decade many novel carriers such as liposomes, microspheres, nanoparticles, transferosomes, ethosomes, lipid based systems etc. have been reported for successful modified delivery of various herbal drugs. Many herbal compounds including quercetin, genistein, naringin, sinomenine, piperine, glycyrrhizin and nitrile glycoside have demonstrated capability to enhance the bioavailability. The objective of this review is to summarize various available novel drug delivery technologies which have been developed for delivery of drugs (herbal), and to achieve better therapeutic response. An attempt has also been made to compile a profile on bioavailability enhancers of herbal origin with the mechanism of action (wherever reported) and studies on improvement in drug bioavailability, exhibited particularly by natural compounds. PMID:23620848
Giaginis, Constantinos; Theocharis, Stamatios; Tsantili-Kakoulidou, Anna
2012-10-01
Placenta plays an obligatory role in fetal growth and development by performing a multitude of functions, including embryo implantation, transport of nutrients and elimination of metabolic waste products and endocrine activity. Drugs and chemicals can transfer across the placental barrier from mother to fetus either by passive diffusion mechanisms and/or via a network of active transporters, which may lead to potential fetotoxicity effects. Placenta also expresses a wide variety of enzymes, being capable of metabolizing a large diversity of drugs and chemicals to metabolites of lower or even higher toxicity than parent compounds. The present review aims to summarize the current toxicological aspects in the emerging topic of drug transport and metabolism across the human placental barrier. There is an emerging demand for accurate assessment of drug transport and metabolism across the human placental barrier, on the basis of a high throughput screening process in the early stages of drug design, to avoid drug candidates from potential fetotoxicity effects. In this aspect, combined studies, which take into account in vivo and in vitro investigations, as well as the ex vivo perfusion method and the recently developed computer-aided technologies, may significantly contribute to this direction.
Amador Ríos, Zoriely; Ghaly, Evone Shehata
2015-01-01
Multiparticulate systems are used in the development of controlled release systems. The objective of this study was to determine the effect of the wax level, the type of excipient, and the exposure of the tablets to thermal treatment on drug release. Spheres from multiparticulate system with different wax levels and excipients were developed using the drug Lisinopril and compressed into tablets; these tablets were analyzed to determine the drug release. All tablets contained constant level of Lisinopril (10% w/w) and Compritol (30% and 50% w/w). Also, as a diluent, all of them contained 30% w/w Avicel and 30% w/w dibasic calcium phosphate or lactose, or 60% Avicel. Tablets compacted from spheres prepared by extruder/marumerizer and using 30% w/w lipid and 60% Avicel released 84% of drug at six hours of dissolution testing, while tablets of the same composition but prepared using 30% dibasic calcium phosphate and 30% Avicel released 101%. When the tablets were thermally treated, the drug release reduced. As the percent of lipid increased in the formulation, the drug release decreased. Compaction of tablets prepared from spheres with wax has potential for controlling the drug release.
Papin, Jason A.
2017-01-01
Antibiotic regimens often include the sequential changing of drugs to limit the development and evolution of resistance of bacterial pathogens. It remains unclear how history of adaptation to one antibiotic can influence the resistance profiles when bacteria subsequently adapt to a different antibiotic. Here, we experimentally evolved Pseudomonas aeruginosa to six 2-drug sequences. We observed drug order–specific effects, whereby adaptation to the first drug can limit the rate of subsequent adaptation to the second drug, adaptation to the second drug can restore susceptibility to the first drug, or final resistance levels depend on the order of the 2-drug sequence. These findings demonstrate how resistance not only depends on the current drug regimen but also the history of past regimens. These order-specific effects may allow for rational forecasting of the evolutionary dynamics of bacteria given knowledge of past adaptations and provide support for the need to consider the history of past drug exposure when designing strategies to mitigate resistance and combat bacterial infections. PMID:28792497
In silico assessment of drug safety in human heart applied to late sodium current blockers
Trenor, Beatriz; Gomis-Tena, Julio; Cardona, Karen; Romero, Lucia; Rajamani, Sridharan; Belardinelli, Luiz; Giles, Wayne R; Saiz, Javier
2013-01-01
Drug-induced action potential (AP) prolongation leading to Torsade de Pointes is a major concern for the development of anti-arrhythmic drugs. Nevertheless the development of improved anti-arrhythmic agents, some of which may block different channels, remains an important opportunity. Partial block of the late sodium current (INaL) has emerged as a novel anti-arrhythmic mechanism. It can be effective in the settings of free radical challenge or hypoxia. In addition, this approach can attenuate pro-arrhythmic effects of blocking the rapid delayed rectifying K+ current (IKr). The main goal of our computational work was to develop an in-silico tool for preclinical anti-arrhythmic drug safety assessment, by illustrating the impact of IKr/INaL ratio of steady-state block of drug candidates on “torsadogenic” biomarkers. The O’Hara et al. AP model for human ventricular myocytes was used. Biomarkers for arrhythmic risk, i.e., AP duration, triangulation, reverse rate-dependence, transmural dispersion of repolarization and electrocardiogram QT intervals, were calculated using single myocyte and one-dimensional strand simulations. Predetermined amounts of block of INaL and IKr were evaluated. “Safety plots” were developed to illustrate the value of the specific biomarker for selected combinations of IC50s for IKr and INaL of potential drugs. The reference biomarkers at baseline changed depending on the “drug” specificity for these two ion channel targets. Ranolazine and GS967 (a novel potent inhibitor of INaL) yielded a biomarker data set that is considered safe by standard regulatory criteria. This novel in-silico approach is useful for evaluating pro-arrhythmic potential of drugs and drug candidates in the human ventricle. PMID:23696033
The development of a value based pricing index for new drugs in metastatic colorectal cancer.
Dranitsaris, George; Truter, Ilse; Lubbe, Martie S
2011-06-01
Worldwide, prices for cancer drugs have been under downward pressure where several governments have mandated price cuts of branded products. A better alternative to government mandated price cuts would be to estimate a final price based on drug performance, cost effectiveness and a country's ability to pay. We developed a global pricing index for new cancer drugs in patients with metastatic colorectal cancer (mCRC) that encompasses all of these attributes. A pharmacoeconomic model was developed to simulate mCRC patients receiving chemotherapy plus a 'new drug' that improves survival by 1.4, 3 and 6months, respectively. Cost and utility data were obtained from cancer centres and oncology nurses (n=112) in Canada, Spain, India, South Africa and Malaysia. Multivariable analysis was then used to develop the pricing index, which considers survival benefit, per capita GDP and income dispersion (as measured by the Gini coefficient) as predictor variables. Higher survival benefits were associated with elevated drug prices, especially in higher income countries such as Canada. For Argentina with a per capita GDP of $15,000 and a Gini coefficient of 51, the index estimated that for a drug which provides a 4month survival benefit in mCRC, the value based price would be $US 630 per dose. In contrast, the same drug in a wealthier country like Norway (per capita GDP=$50,000) could command a price of $US 2,775 per dose. The application of this index to estimate a price based on cost effectiveness and the wealth of a nation would be important for opening dialogue between the key stakeholders and a better alternative to government mandated price cuts. Copyright © 2011 Elsevier Ltd. All rights reserved.
Microdosing: Concept, Application and Relevance
Tewari, Tushar; Mukherjee, Shoibal
2010-01-01
The use of microdose pharmacokinetic studies as an essential tool in drug development is still to catch on. While this approach promises potential cost savings and a quantum leap in efficiencies of the drug development process, major hurdles still need to be overcome before the technique becomes commonplace and part of routine practice. Clear regulations in Europe and the USA have had an enabling effect. The lack of enabling provisions for microdosing studies in Indian regulation, despite low risk and manifest relevance for the local drug development industry, is inconsistent with the country's aspirations to be among the leaders in pharmaceutical research. PMID:21829784
Microdosing: concept, application and relevance.
Tewari, Tushar; Mukherjee, Shoibal
2010-04-01
The use of microdose pharmacokinetic studies as an essential tool in drug development is still to catch on. While this approach promises potential cost savings and a quantum leap in efficiencies of the drug development process, major hurdles still need to be overcome before the technique becomes commonplace and part of routine practice. Clear regulations in Europe and the USA have had an enabling effect. The lack of enabling provisions for microdosing studies in Indian regulation, despite low risk and manifest relevance for the local drug development industry, is inconsistent with the country's aspirations to be among the leaders in pharmaceutical research.
Development of biosimilars in an era of oncologic drug shortages
Li, Edward; Subramanian, Janakiraman; Anderson, Scott; Thomas, Dolca; McKinley, Jason; Jacobs, Ira A
2015-01-01
Acute and chronic shortages of various pharmaceuticals and particularly of sterile injectable products are being reported on a global scale, prompting evaluation of more effective strategies to manage current shortages and development of new, high-quality pharmaceutical products to mitigate the risk of potential future shortages. Oncology drugs such as liposomal doxorubicin and 5-fluorouracil represent examples of first-choice drugs critically affected by shortages. Survey results indicate that the majority of hospitals and practicing oncologists have experienced drug shortages, which may have compromised patient safety and clinical outcomes, and increased health care costs, due to delays or changes in treatment regimens. Clinical trials evaluating novel agents in combination with standard-of-care drugs are also being affected by drug shortages. Clinical and ethical considerations on treatment objectives, drug indication, and availability of alternative options may help in prioritizing cancer patients involved in active drug shortages. The United States Food and Drug Administration and the European Medicines Agency have identified manufacturing problems, delays in supply, and lack of available active ingredients as the most frequent causes of recent or ongoing drug shortages, and have released specific guidance to monitor, manage, and reduce the risk of shortages. The upcoming loss of exclusivity for a number of anticancer biologics, together with the introduction of an abbreviated approval pathway for biosimilars, raises the question of whether these products will be vulnerable to shortages. Future supply by reliable manufacturers of well characterized biosimilar monoclonal antibodies, developed in compliance with regulatory and manufacturing guidelines and with substantial investments, may contribute to prevent future biologics shortages and ensure access to effective and safe treatment options for patients with cancer. Preclinical and clinical characterization is ongoing for potential biosimilars of trastuzumab, rituximab, and bevacizumab, with promising results. PMID:26150698
Diabetes Drugs and Cardiovascular Safety
2016-01-01
Diabetes is a well-known risk factor of cardiovascular morbidity and mortality, and the beneficial effect of improved glycemic control on cardiovascular complications has been well established. However, the rosiglitazone experience aroused awareness of potential cardiovascular risk associated with diabetes drugs and prompted the U.S. Food and Drug Administration to issue new guidelines about cardiovascular risk. Through postmarketing cardiovascular safety trials, some drugs demonstrated cardiovascular benefits, while some antidiabetic drugs raised concern about a possible increased cardiovascular risk associated with drug use. With the development of new classes of drugs, treatment options became wider and the complexity of glycemic management in type 2 diabetes has increased. When choosing the appropriate treatment strategy for patients with type 2 diabetes at high cardiovascular risk, not only the glucose-lowering effects, but also overall benefits and risks for cardiovascular disease should be taken into consideration. PMID:27302713
Albanaz, Amanda T S; Rodrigues, Carlos H M; Pires, Douglas E V; Ascher, David B
2017-06-01
Mutations introduce diversity into genomes, leading to selective changes and driving evolution. These changes have contributed to the emergence of many of the current major health concerns of the 21st century, from the development of genetic diseases and cancers to the rise and spread of drug resistance. The experimental systematic testing of all mutations in a system of interest is impractical and not cost-effective, which has created interest in the development of computational tools to understand the molecular consequences of mutations to aid and guide rational experimentation. Areas covered: Here, the authors discuss the recent development of computational methods to understand the effects of coding mutations to protein function and interactions, particularly in the context of the 3D structure of the protein. Expert opinion: While significant progress has been made in terms of innovative tools to understand and quantify the different range of effects in which a mutation or a set of mutations can give rise to a phenotype, a great gap still exists when integrating these predictions and drawing causality conclusions linking variants. This often requires a detailed understanding of the system being perturbed. However, as part of the drug development process it can be used preemptively in a similar fashion to pharmacokinetics predictions, to guide development of therapeutics to help guide the design and analysis of clinical trials, patient treatment and public health policy strategies.
Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.
Gao, Mengxuan; Igata, Hideyoshi; Takeuchi, Aoi; Sato, Kaoru; Ikegaya, Yuji
2017-02-01
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machine learning-based in vitro system designed to detect seizure-inducing side effects. We recorded local field potentials from the CA1 alveus in acute mouse neocortico-hippocampal slices, while 14 drugs were bath-perfused at 5 different concentrations each. For each experimental condition, we collected seizure-like neuronal activity and merged their waveforms as one graphic image, which was further converted into a feature vector using Caffe, an open framework for deep learning. In the space of the first two principal components, the support vector machine completely separated the vectors (i.e., doses of individual drugs) that induced seizure-like events and identified diphenhydramine, enoxacin, strychnine and theophylline as "seizure-inducing" drugs, which indeed were reported to induce seizures in clinical situations. Thus, this artificial intelligence-based classification may provide a new platform to detect the seizure-inducing side effects of preclinical drugs. Copyright © 2017 The Authors. Production and hosting by Elsevier B.V. All rights reserved.
Ultrasound-mediated drug delivery for cardiovascular disease
Sutton, Jonathan T; Haworth, Kevin J; Pyne-Geithman, Gail; Holland, Christy K
2014-01-01
Introduction Ultrasound (US) has been developed as both a valuable diagnostic tool and a potent promoter of beneficial tissue bioeffects for the treatment of cardiovascular disease. These effects can be mediated by mechanical oscillations of circulating microbubbles, or US contrast agents, which may also encapsulate and shield a therapeutic agent in the bloodstream. Oscillating microbubbles can create stresses directly on nearby tissue or induce fluid effects that effect drug penetration into vascular tissue, lyse thrombi or direct drugs to optimal locations for delivery. Areas covered The present review summarizes investigations that have provided evidence for US-mediated drug delivery as a potent method to deliver therapeutics to diseased tissue for cardiovascular treatment. In particular, the focus will be on investigations of specific aspects relating to US-mediated drug delivery, such as delivery vehicles, drug transport routes, biochemical mechanisms and molecular targeting strategies. Expert opinion These investigations have spurred continued research into alternative therapeutic applications, such as bioactive gas delivery and new US technologies. Successful implementation of US-mediated drug delivery has the potential to change the way many drugs are administered systemically, resulting in more effective and economical therapeutics, and less-invasive treatments. PMID:23448121
Drug-conjugated polymers as gene carriers for synergistic therapeutic effect.
Pofali, P A; Singh, B; Dandekar, P; Jain, R D; Maharjan, S; Choi, Y J; Arote, R B; Cho, C S
2016-05-01
The ability to safely and effectively transfer gene into cells is the fundamental goal of gene delivery. In spite of the best efforts of researchers around the world, gene therapy has limited success. This may be because of several limitations of delivering gene which is one of the greatest technical challenges in the modern medicine. To address these issues, many efforts have been made to bind drugs and genes together by polymers for co-delivery to achieve synergistic effect. Usually, binding interaction of drugs with polymers is either physical or chemical. In case of drug-polymer physical interaction, the efficiency of drugs generally decreases because of separation of drugs from polymers in vivo whenever it comes in contact with charged biofluid/s or cells. While chemical interaction of drug-polymer overcomes the aforementioned obstacle, several problems such as steric hindrance, solubility, and biodegradability hinder it to develop as gene carrier. Considering these benefits and pitfalls, the objective of this review is to discuss the possible extent of drug-conjugated polymers as safe and efficient gene delivery carriers for achieving synergistic effect to combat various genetic disorders. © 2015 Wiley Periodicals, Inc.
Weiss, Sandra J; St Jonn-Seed, Mary; Harris-Muchell, Carolyn
2007-08-01
Preliminary evidence indicates that fetal drug exposure may be associated with alterations in temperament. However, studies often do not dissociate the potential effects of drug exposure from other perinatal or environmental factors that could influence temperament phenotypes. High risk children (n = 120) were followed from birth to 6 months of age to determine the effects of fetal drug exposure on temperament, after controlling for the child's gender, gestational age, medical morbidity, ethnicity, and maltreatment as well as the mother's stress, income adequacy, and quality of caregiving. Methods included medical chart review, questionnaires, and videotapes of mother-child interaction. Preliminary analyses indicated that fetal drug exposure was associated with both distractibility and intensity of children's responses to the environment at 6 months of age. After adjusting for potentially confounding variables, drug exposure accounted for 12% of the variance in distractibility but was not a significant predictor in the regression model for intensity. Findings suggest that drug-exposed children may experience difficulty sustaining their focus of attention and be more easily distracted by environmental stimuli than non-drug-exposed children. Results converge with previous research to implicate cortical hyperarousal, stemming from teratogenic effects on the dopaminergic system during fetal development.
Design and Efficacy of Nanogels Formulations for Intranasal Administration.
Aderibigbe, Blessing A; Naki, Tobeka
2018-05-23
Nanogels are drug delivery systems that can bypass the blood-brain barrier and deliver drugs to the desired site when administered intranasally. They have been used as a drug delivery platform for the management of brain diseases such as Alzheimer disease, migraine, schizophrenia and depression. nanogels have also been developed as vaccine carriers for the protection of bacterial infections such as influenza, meningitis, pneumonia and as veterinary vaccine carriers for the protection of animals from encephalomyelitis and mouth to foot disease. It has been developed as vaccine carriers for the prevention of lifestyle disease such as obesity. Intranasal administration of therapeutics using nanogels for the management of brain diseases revealed that the drug transportation was via the olfactory nerve pathway resulting in rapid drug delivery to the brain with excellent neuroprotective effect. The application of nanogels as vaccine carriers also induced significant responses associated with protective immunity against selected bacterial and viral infections. This review provides a detailed information on the enhanced therapeutic effects, mechanisms and biological efficacy of nanogels for intranasal administration.
Osmolarity as a contributing factor in topical drug delivery
NASA Astrophysics Data System (ADS)
Funke, Claire; Szeri, Andrew J.
2017-11-01
Gels and dissolvable solids are drug delivery platforms being evaluated for application of active pharmaceutical ingredients, termed microbicides, which act topically against infection by sexually transmitted HIV. In previous work, we have investigated how dilution by naturally produced fluid from the vaginal mucosa affects drug transport into the vaginal wall. We expand on this work by no longer assuming a constant flux and instead developing a relation for fluid transport based on osmolarity - thus allowing fluid to pass both into and out of epithelial cells. This relation shows that varying the osmolarity of the applied solution can have a significant effect on the amount of drug delivered to its target while holding the applied amount constant. This effect is modulated by a dimensionless group that relates the rates of solute and solvent transport. Ultimately, our goal is to develop a tool to understand better how to manipulate solution osmolarity in order to improve drug delivery within safety parameters for mucosal tissue.
Ramamoorthi, Roopa; Graef, Katy M; Dent, Jennifer
2015-01-01
Schistosomiasis, one of 17 diseases deemed to be neglected by the World Health Organization, has received little attention from the biopharmaceutical industry. Due to this, only a handful of drugs have been developed to treat schistosomiasis, with only one, praziquantel, used in most endemic regions. Growing concern over resistance coupled with praziquantel's incomplete efficacy across all stages of the Schistosoma platyhelminth life cycle highlights the urgent need for new drugs. The WIPO Re:Search consortium is a platform whereupon biopharmaceutical company compounds are being repurposed to efficiently and cost-effectively develop new drugs for neglected diseases such as schistosomiasis. This article summarizes recent clinical-stage efforts to identify new antischistosomals and highlights biopharmaceutical company compounds with potential for repurposing to treat schistosomiasis.
Factors influencing frontal cortex development and recovery from early frontal injury.
Halliwell, Celeste; Comeau, Wendy; Gibb, Robbin; Frost, Douglas O; Kolb, Bryan
2009-01-01
Neocortical development represents more than a simple unfolding of a genetic blueprint but rather represents a complex dance of genetic and environmental events that interact to adapt the brain to fit a particular environmental context. Although most cortical regions are sensitive to a wide range of experiential factors during development and later in life, the prefrontal cortex appears to be unusually sensitive to perinatal experiences and relatively immune to many adulthood experiences relative to other neocortical regions. One way to examine experience-dependent prefrontal development is to conduct studies in which experiential perturbations are related neuronal morphology. This review of the research reveals both pre- and post-natal factors have important effects on prefrontal development and behaviour. Such factors include psychoactive drugs, including both illicit drugs and prescription drugs, stress, gonadal hormones and sensory and motor stimulation. A second method of study is to examine both the effects of perinatal prefrontal injury on the development of the remaining cerebral mantle and correlated behaviours as well as the effects of post-injury rehabilitation programmes on the anatomical and behavioural measures. Prefrontal injury alters cerebral development in a developmental-stage dependent manner with perinatal injuries having far more deleterious effects than similar injuries later in infancy. The outcome of perinatal injuries can be modified, however, by rehabilitation with many of the factors shown to influence prefrontal development in the otherwise normal brain.
Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms.
Kumar, Rajnish; Sharma, Anju; Siddiqui, Mohammed Haris; Tiwari, Rajesh Kumar
2018-01-01
Plasma protein binding (PPB) has vital importance in the characterization of drug distribution in the systemic circulation. Unfavorable PPB can pose a negative effect on clinical development of promising drug candidates. The drug distribution properties should be considered at the initial phases of the drug design and development. Therefore, PPB prediction models are receiving an increased attention. In the current study, we present a systematic approach using Support vector machine, Artificial neural network, k- nearest neighbor, Probabilistic neural network, Partial least square and Linear discriminant analysis to relate various in vitro and in silico molecular descriptors to a diverse dataset of 736 drugs/drug-like compounds. The overall accuracy of Support vector machine with Radial basis function kernel came out to be comparatively better than the rest of the applied algorithms. The training set accuracy, validation set accuracy, precision, sensitivity, specificity and F1 score for the Suprort vector machine was found to be 89.73%, 89.97%, 92.56%, 87.26%, 91.97% and 0.898, respectively. This model can potentially be useful in screening of relevant drug candidates at the preliminary stages of drug design and development. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
The potential of magneto-electric nanocarriers for drug delivery
Kaushik, Ajeet; Jayant, Rahul Dev; Sagar, Vidya; Nair, Madhavan
2015-01-01
Introduction The development and design of personalized nanomedicine for better health quality is receiving great attention. In order to deliver and release a therapeutic concentration at the target site, novel nanocarriers (NCs) were designed, for example, magneto-electric (ME) which possess ideal properties of high drug loading, site-specificity and precise on-demand controlled drug delivery. Areas covered This review explores the potential of ME-NCs for on-demand and site-specific drug delivery and release for personalized therapeutics. The main features including effect of magnetism, improvement in drug loading, drug transport across blood-brain barriers and on-demand controlled release are also discussed. The future directions and possible impacts on upcoming nanomedicine are highlighted. Expert opinion Numerous reports suggest that there is an urgent need to explore novel NC formulations for safe and targeted drug delivery and release at specific disease sites. The challenges of formulation lie in the development of NCs that improve biocompatibility and surface modifications for optimum drug loading/preservation/transmigration and tailoring of electrical–magnetic properties for on-demand drug release. Thus, the development of novel NCs is anticipated to overcome the problems of targeted delivery of therapeutic agents with desired precision that may lead to better patient compliance. PMID:24986772
The potential of magneto-electric nanocarriers for drug delivery.
Kaushik, Ajeet; Jayant, Rahul Dev; Sagar, Vidya; Nair, Madhavan
2014-10-01
The development and design of personalized nanomedicine for better health quality is receiving great attention. In order to deliver and release a therapeutic concentration at the target site, novel nanocarriers (NCs) were designed, for example, magneto-electric (ME) which possess ideal properties of high drug loading, site-specificity and precise on-demand controlled drug delivery. This review explores the potential of ME-NCs for on-demand and site-specific drug delivery and release for personalized therapeutics. The main features including effect of magnetism, improvement in drug loading, drug transport across blood-brain barriers and on-demand controlled release are also discussed. The future directions and possible impacts on upcoming nanomedicine are highlighted. Numerous reports suggest that there is an urgent need to explore novel NC formulations for safe and targeted drug delivery and release at specific disease sites. The challenges of formulation lie in the development of NCs that improve biocompatibility and surface modifications for optimum drug loading/preservation/transmigration and tailoring of electrical-magnetic properties for on-demand drug release. Thus, the development of novel NCs is anticipated to overcome the problems of targeted delivery of therapeutic agents with desired precision that may lead to better patient compliance.
Drug-target residence time--a case for G protein-coupled receptors.
Guo, Dong; Hillger, Julia M; IJzerman, Adriaan P; Heitman, Laura H
2014-07-01
A vast number of marketed drugs act on G protein-coupled receptors (GPCRs), the most successful category of drug targets to date. These drugs usually possess high target affinity and selectivity, and such combined features have been the driving force in the early phases of drug discovery. However, attrition has also been high. Many investigational new drugs eventually fail in clinical trials due to a demonstrated lack of efficacy. A retrospective assessment of successfully launched drugs revealed that their beneficial effects in patients may be attributed to their long drug-target residence times (RTs). Likewise, for some other GPCR drugs short RT could be beneficial to reduce the potential for on-target side effects. Hence, the compounds' kinetics behavior might in fact be the guiding principle to obtain a desired and durable effect in vivo. We therefore propose that drug-target RT should be taken into account as an additional parameter in the lead selection and optimization process. This should ultimately lead to an increased number of candidate drugs moving to the preclinical development phase and on to the market. This review contains examples of the kinetics behavior of GPCR ligands with improved in vivo efficacy and summarizes methods for assessing drug-target RT. © 2014 Wiley Periodicals, Inc.
Ozeki, Tetsuya; Tagami, Tatsuaki
2013-01-01
The development of drug nanoparticles has attracted substantial attention because of their potential to improve the dissolution rate and oral availability of poorly water-soluble drugs. This review summarizes the recent articles that discussed nanoparticle-based oral drug delivery systems. The preparation methods were categorized as top-down and bottom-up methods, which are common methods for preparing drug nanoparticles. In addition, methods of handling drug nanoparticles (e.g., one-step preparation of nanocomposites which are microparticles containing drug nanoparticles) were introduced for the effective preservation of drug nanoparticles. The carrier-based preparation of drug nanoparticles was also introduced as a potentially promising oral drug delivery system.
Wang, Junqi; Qin, Lan
2016-06-27
This meta-analysis was performed to compare radioiodine therapy with antithyroid drugs in terms of clinical outcomes, including development or worsening of ophthalmopathy, hyperthyroid cure rate, hypothyroidism, relapse rate and adverse events. Randomized controlled trials (RCTs) published in PubMed, Embase, Web of Science, SinoMed and National Knowledge Infrastructure, China, were systematically reviewed to compare the effects of radioiodine therapy with antithyroid drugs in patients with Graves' disease. Results were expressed as risk ratio with 95% confidence intervals (CIs) and weighted mean differences with 95% CIs. Pooled estimates were performed using a fixed-effects model or random-effects model, depending on the heterogeneity among studies. 17 RCTs involving 4024 patients met the inclusion criteria and were included. Results showed that radioiodine treatment has increased risk in new ophthalmopathy, development or worsening of ophthalmopathy and hypothyroidism. Whereas, compared with antithyroid drugs, radioiodine treatment seems to have a higher hyperthyroid cure rate, lower recurrence rate and lower incidence of adverse events. Radioiodine therapy is associated with a higher hyperthyroid cure rate and lower relapse rate compared with antithyroid drugs. However, it also increases the risk of ophthalmopathy and hypothyroidism. Considering that antithyroid drug treatment can be associated with unsatisfactory control of hyperthyroidism, we would recommend radioiodine therapy as the treatment of choice for patients with Graves' disease.
Banks, Matthew L
2017-04-01
Substance use disorders are diagnosed as a manifestation of inappropriate behavioral allocation toward abused drugs and away from other behaviors maintained by more adaptive nondrug reinforcers (e.g., money and social relationships). Substance use disorder treatment goals include not only decreasing drug-maintained behavior but also promoting behavioral reallocation toward these socially adaptive alternative reinforcers. Preclinical drug self-administration procedures that offer concurrent access to both drug and nondrug reinforcers provide a translationally relevant dependent measure of behavioral allocation that may be useful for candidate medication evaluation. In contrast to other abused drugs, such as heroin or cocaine, preclinical methamphetamine versus food choice procedures have been a more recent development. We hypothesize that preclinical to clinical translatability would be improved by the evaluation of repeated pharmacological treatment effects on methamphetamine self-administration under a methamphetamine versus food choice procedure. In support of this hypothesis, a literature review suggests strong concordance between preclinical pharmacological treatment effects on methamphetamine versus food choice in nonhuman primates and clinical medication treatment effects on methamphetamine self-administration in human laboratory studies or methamphetamine abuse metrics in clinical trials. In conclusion, this literature suggests preclinical methamphetamine versus food choice procedures may be useful in developing innovative pharmacotherapies for methamphetamine use disorder. © 2016 New York Academy of Sciences.
Banks, Matthew L.
2016-01-01
Substance use disorders are diagnosed as a manifestation of inappropriate behavioral allocation towards abused drugs and away from other behaviors maintained by more adaptive nondrug reinforcers (e.g., work and social relationships). Substance use disorder treatment goals include not only decreasing drug-maintained behavior but also promoting behavioral reallocation toward these socially adaptive alternative reinforcers. Preclinical drug self-administration procedures that offer concurrent access to both drug and nondrug reinforcers provide a translationally relevant dependent measure of behavioral allocation that may be useful for candidate medication evaluation. In contrast to other abused drugs, such as heroin or cocaine, preclinical methamphetamine versus food choice procedures have been a more recent development. We hypothesize that preclinical to clinical translatability would be improved by the evaluation of repeated pharmacological treatment effects on methamphetamine self-administration under a methamphetamine versus food choice procedure. In support of this hypothesis, a literature review suggests strong concordance between preclinical pharmacological treatment effects on methamphetamine versus food choice in nonhuman primates and clinical medication treatment effects on methamphetamine self-administration in human laboratory studies or methamphetamine abuse metrics in clinical trials. In conclusion, this literature suggests preclinical methamphetamine versus food choice procedures may be useful in developing innovative pharmacotherapies for methamphetamine use disorder. PMID:27936284
Approaches to Measuring the Effects of Wake-Promoting Drugs: A Focus on Cognitive Function
Edgar, Christopher J.; Pace-Schott, Edward F.; Wesnes, Keith A.
2009-01-01
Objectives In clinical drug development, wakefulness and wake-promotion maybe assessed by a large number of scales and questionnaires. Objective assessment of wakefulness is most commonly made using sleep latency/maintenance of wakefulness tests, polysomnography and/or behavioral measures. The purpose of the present review is to highlight the degree of overlap in the assessment of wakefulness and cognition, with consideration of assessment techniques and the underlying neurobiology of both concepts. Design Reviews of four key areas were conducted: commonly used techniques in the assessment of wakefulness; neurobiology of sleep/wake and cognition; targets of wake promoting and/or cognition enhancing drugs; and ongoing clinical trials investigating wake promoting effects. Results There is clear overlap between the assessment of wakefulness and cognition. There are common techniques which may be used to assess both concepts; aspects of the neurobiology of both concepts may be closely related; and wake promoting drugs may have nootropic properties (and vice-versa). Clinical trials of wake promoting drugs often, though not routinely, assess aspects of cognition. Conclusions Routine and broad assessment of cognition in the development of wake promoting drugs may reveal important nootropic effects, which are not secondary to alertness/wakefulness, whilst existing cognitive enhancers may have under explored or unknown wake promoting properties. PMID:19565524
Beau, Anna-Belle; Montastruc, Jean-Louis; Lacroix, Isabelle; Montastruc, François; Hurault-Delarue, Caroline; Damase-Michel, Christine
2016-08-01
The aim of this study was to evaluate the potential effect of in utero exposure to drugs with atropinic properties on infant psychological development using atropinic burden (AB) scales. Women from the EFEMERIS cohort, a French database including prescribed and dispensed reimbursed drugs during pregnancy and pregnancy outcomes, delivering between 2004 and 2010 were included (n = 43 740). Each drug was classified as having no (score = 0), few (score = 1) or strong (score = 3) atropinic properties. AB per woman was calculated by adding the atropinic scores of drugs prescribed during pregnancy. AB was categorized as exposure or no exposure. Secondary analyses were performed by dividing the exposure into four scores = [0], [1-8], [9-17] and [≥18]. Data for psychological development were extracted from children's medical certificates completed at 9 and 24 months. Thirty-four% (n = 14 925) of women received at least one atropinic drug during pregnancy. Women with AB ≥1 were older and received more drugs during pregnancy than unexposed women. At 24 months, more infants of mothers with AB ≥1 had difficulties to 'name a picture' (ORa , 1.18, 95% CI 1.03, 1.36) and to 'understand instructions' (ORa , 1.61, 95% CI 1.13, , 2.30]) compared with infants of unexposed women. Analyses of four groups of exposure and analyses excluding women receiving psychotropics led to similar results. The study showed significant association between in utero exposure to drugs with atropinic properties and fewer infant cognitive acquisitions at 24 months. Further exploring the potential effect of simultaneous use of drugs with atropinic effects among pregnant women will bring into consideration whether such prescriptions could be inappropriate for the child. © 2016 The British Pharmacological Society.
Christfort, Juliane Fjelrad; Plum, Jakob; Madsen, Cecilie Maria; Nielsen, Line Hagner; Sandau, Martin; Andersen, Klaus; Müllertz, Anette; Rades, Thomas
2017-12-04
Many drug candidates today have a low aqueous solubility and, hence, may show a low oral bioavailability, presenting a major formulation and drug delivery challenge. One way to increase the bioavailability of these drugs is to use a supersaturating drug delivery strategy. The aim of this study was to develop a video-microscopic method, to evaluate the effect of a precipitation inhibitor on supersaturated solutions of the poorly soluble drug tadalafil, using a novel video-microscopic small scale setup. Based on preliminary studies, a degree of supersaturation of 29 was chosen for the supersaturation studies with tadalafil in FaSSIF. Different amounts of hydroxypropyl methyl cellulose (HPMC) were predissolved in FaSSIF to give four different concentrations, and the supersaturated system was then created using a solvent shift method. Precipitation of tadalafil from the supersaturated solutions was monitored by video-microscopy as a function of time. Single-particle analysis was possible using commercially available software; however, to investigate the entire population of precipitating particles (i.e., their number and area covered in the field of view), an image analysis algorithm was developed (multiparticle analysis). The induction time for precipitation of tadalafil in FaSSIF was significantly prolonged by adding 0.01% (w/v) HPMC to FaSSIF, and the maximum inhibition was reached at 0.1% (w/v) HPMC, after which additional HPMC did not further increase the induction time. The single-particle and multiparticle analyses yielded the same ranking of the HPMC concentrations, regarding the inhibitory effect on precipitation. The developed small scale method to assess the effect of precipitation inhibitors can speed up the process of choosing the right precipitation inhibitor and the concentration to be used.
2013-01-01
Background The development of new therapies for orphan genetic diseases represents an extremely important medical and social challenge. Drug repositioning, i.e. finding new indications for approved drugs, could be one of the most cost- and time-effective strategies to cope with this problem, at least in a subset of cases. Therefore, many computational approaches based on the analysis of high throughput gene expression data have so far been proposed to reposition available drugs. However, most of these methods require gene expression profiles directly relevant to the pathologic conditions under study, such as those obtained from patient cells and/or from suitable experimental models. In this work we have developed a new approach for drug repositioning, based on identifying known drug targets showing conserved anti-correlated expression profiles with human disease genes, which is completely independent from the availability of ‘ad hoc’ gene expression data-sets. Results By analyzing available data, we provide evidence that the genes displaying conserved anti-correlation with drug targets are antagonistically modulated in their expression by treatment with the relevant drugs. We then identified clusters of genes associated to similar phenotypes and showing conserved anticorrelation with drug targets. On this basis, we generated a list of potential candidate drug-disease associations. Importantly, we show that some of the proposed associations are already supported by independent experimental evidence. Conclusions Our results support the hypothesis that the identification of gene clusters showing conserved anticorrelation with drug targets can be an effective method for drug repositioning and provide a wide list of new potential drug-disease associations for experimental validation. PMID:24088245
Caenorhabditis elegans as a Model to Study the Molecular and Genetic Mechanisms of Drug Addiction
Engleman, Eric A.; Katner, Simon N.; Neal-Beliveau, Bethany S.
2016-01-01
Drug addiction takes a massive toll on society. Novel animal models are needed to test new treatments and understand the basic mechanisms underlying addiction. Rodent models have identified the neurocircuitry involved in addictive behavior and indicate that rodents possess some of the same neurobiologic mechanisms that mediate addiction in humans. Recent studies indicate that addiction is mechanistically and phylogenetically ancient and many mechanisms that underlie human addiction are also present in invertebrates. The nematode Caenorhabditis elegans has conserved neurobiologic systems with powerful molecular and genetic tools and a rapid rate of development that enables cost-effective translational discovery. Emerging evidence suggests that C. elegans is an excellent model to identify molecular mechanisms that mediate drug-induced behavior and potential targets for medications development for various addictive compounds. C. elegans emit many behaviors that can be easily quantitated including some that involve interactions with the environment. Ethanol (EtOH) is the best-studied drug-of-abuse in C. elegans and at least 50 different genes/targets have been identified as mediating EtOH’s effects and polymorphisms in some orthologs in humans are associated with alcohol use disorders. C. elegans has also been shown to display dopamine and cholinergic system–dependent attraction to nicotine and demonstrate preference for cues previously associated with nicotine. Cocaine and methamphetamine have been found to produce dopamine-dependent reward-like behaviors in C. elegans. These behavioral tests in combination with genetic/molecular manipulations have led to the identification of dozens of target genes/systems in C. elegans that mediate drug effects. The one target/gene identified as essential for drug-induced behavioral responses across all drugs of abuse was the cat-2 gene coding for tyrosine hydroxylase, which is consistent with the role of dopamine neurotransmission in human addiction. Overall, C. elegans can be used to model aspects of drug addiction and identify systems and molecular mechanisms that mediate drug effects. The findings are surprisingly consistent with analogous findings in higher-level organisms. Further, model refinement is warranted to improve model validity and increase utility for medications development. PMID:26810004
Caenorhabditis elegans as a Model to Study the Molecular and Genetic Mechanisms of Drug Addiction.
Engleman, Eric A; Katner, Simon N; Neal-Beliveau, Bethany S
2016-01-01
Drug addiction takes a massive toll on society. Novel animal models are needed to test new treatments and understand the basic mechanisms underlying addiction. Rodent models have identified the neurocircuitry involved in addictive behavior and indicate that rodents possess some of the same neurobiologic mechanisms that mediate addiction in humans. Recent studies indicate that addiction is mechanistically and phylogenetically ancient and many mechanisms that underlie human addiction are also present in invertebrates. The nematode Caenorhabditis elegans has conserved neurobiologic systems with powerful molecular and genetic tools and a rapid rate of development that enables cost-effective translational discovery. Emerging evidence suggests that C. elegans is an excellent model to identify molecular mechanisms that mediate drug-induced behavior and potential targets for medications development for various addictive compounds. C. elegans emit many behaviors that can be easily quantitated including some that involve interactions with the environment. Ethanol (EtOH) is the best-studied drug-of-abuse in C. elegans and at least 50 different genes/targets have been identified as mediating EtOH's effects and polymorphisms in some orthologs in humans are associated with alcohol use disorders. C. elegans has also been shown to display dopamine and cholinergic system-dependent attraction to nicotine and demonstrate preference for cues previously associated with nicotine. Cocaine and methamphetamine have been found to produce dopamine-dependent reward-like behaviors in C. elegans. These behavioral tests in combination with genetic/molecular manipulations have led to the identification of dozens of target genes/systems in C. elegans that mediate drug effects. The one target/gene identified as essential for drug-induced behavioral responses across all drugs of abuse was the cat-2 gene coding for tyrosine hydroxylase, which is consistent with the role of dopamine neurotransmission in human addiction. Overall, C. elegans can be used to model aspects of drug addiction and identify systems and molecular mechanisms that mediate drug effects. The findings are surprisingly consistent with analogous findings in higher-level organisms. Further, model refinement is warranted to improve model validity and increase utility for medications development. Copyright © 2016. Published by Elsevier Inc.
Baek, In-Hwan; Lee, Byung-Yo; Chae, Jung-Woo; Song, Gyu Yong; Kang, Wonku; Kwon, Kwang-Il
2014-11-01
1. JHL45, a novel immune modulator against atopic dermatitis (AD), was synthesized from decursin isolated from Angelica gigas. The goal is to evaluate the lead compound using quantitative modeling approaches to novel anti-AD drug development. 2. We tested the anti-inflammatory effect of JHL45 by in vitro screening, characterized its in vitro pharmacokinetic (PK) properties. The dose-dependent efficacy of JHL45 was developed using a pharmacokinetics/pharmacodynamics/disease progression (PK/PD/DIS) model in NC/Nga mice. 3. JHL45 has drug-like properties and pharmacological effects when administered orally to treat atopic dermatitis. The developed PK/PD/DIS model described well the rapid metabolism of JHL45, double-peak phenomenon in the PK of decursinol and inhibition of IgE generation by compounds in NC/Nga mice. Also, a quantitative model was developed and used to elucidate the complex interactions between serum IgE concentration and atopic dermatitis symptoms. 4. Our findings indicate that JHL45 has good physicochemical properties and powerful pharmacological effects when administered orally for treatment of AD in rodents.