164 resultados para Drug target systems
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Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.
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In this review, intratumoral drug disposition will be integrated into the wide range of resistance mechanisms to anticancer agents with particular emphasis on targeted protein kinase inhibitors. Six rules will be established: 1. There is a high variability of extracellular/intracellular drug level ratios; 2. There are three main systems involved in intratumoral drug disposition that are composed of SLC, ABC and XME enzymes; 3. There is a synergistic interplay between these three systems; 4. In cancer subclones, there is a strong genomic instability that leads to a highly variable expression of SLC, ABC or XME enzymes; 5. Tumor-expressed metabolizing enzymes play a role in tumor-specific ADME and cell survival and 6. These three systems are involved in the appearance of resistance (transient event) or in the resistance itself. In addition, this article will investigate whether the overexpression of some ABC and XME systems in cancer cells is just a random consequence of DNA/chromosomal instability, hypo- or hypermethylation and microRNA deregulation, or a more organized modification induced by transposable elements. Experiments will also have to establish if these tumor-expressed enzymes participate in cell metabolism or in tumor-specific ADME or if they are only markers of clonal evolution and genomic deregulation. Eventually, the review will underline that the fate of anticancer agents in cancer cells should be more thoroughly investigated from drug discovery to clinical studies. Indeed, inhibition of tumor expressed metabolizing enzymes could strongly increase drug disposition, specifically in the target cells resulting in more efficient therapies.
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The morphological and functional diversity of astrocytes, and their essential contribution in physiological and pathological conditions, are starting to emerge. However, experimental systems to investigate neuron-glia interactions and develop innovative approaches for the treatment of central nervous system (CNS) disorders are still very limited. Fluorescent reporter genes have been used to visualize populations of astrocytes and produce an atlas of gene expression in the brain. Knock-down or knock-out of astrocytic proteins using transgenesis have also been developed, but these techniques remain complex and time-consuming. Viral vectors have been developed to overexpress or silence genes of interest as they can be used for both in vitro and in vivo studies in adult mammalian species. In most cases, high transduction efficiency and long-term transgene expression are observed in neurons but there is limited expression in astrocytes. Several strategies have been developed to shift the tropism of lentiviral vectors (LV) and allow local and controlled gene expression in glial cells. In this review, we describe how modifications of the interaction between the LV envelope glycoprotein and the surface receptor molecules on target cells, or the integration of cell-specific promoters and miRNA post-transcriptional regulatory elements have been used to selectively express transgenes in astrocytes.
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The widespread use of combination antiretroviral therapy (ARVs) has considerably improved the prognosis of patients infected with HIV. Conversely, considerable advances have been recently realized for the therapy of hepatitis C infection with the recent advent of potent new anti-HCV drugs that allow an increasing rate HCV infection cure. Despite their overall efficacy, a significant number of patients do not achieve or maintain adequate clinical response, defined as an undetectable viral load for HIV, and a sustained virological response (or cure) in HCV infection. Treatment failure therefore still remains an important issue besides drugs toxicities and viral resistance which is not uncommon in a significant percentage of patients who do not reach adequate virological suppression. The reasons of variability in drug response are multifactorial and apart from viral genetics, other factors such as environmental factors, drug- drug interactions, and imperfect compliance may have profound impact on antiviral drugs' clinical response. The possibility of measuring plasma concentration of antiviral drugs enables to guide antiviral drug therapy and ensure optimal drug exposure. The overall objective of this research was to widen up the current knowledge on pharmacokinetic and pharmacogenetic factors that influence the clinical response and toxicity of current and newly approved antiretroviral and anti-HCV drugs. To that endeavour, analytical methods using liquid chromatography coupled with tandem mass spectrometry have been developed and validated for the precise and accurate measurement of new antiretroviral and anti-HCV drugs . These assays have been applied for the TDM of ARVs and anti-HCV in patients infected with either HIV or HCV respectively, and co-infected with HIV- HCV. A pharmacokinetic population model was developed to characterize inter and intra-patient variability of rilpivirine, the latest marketed Non Nucleoside Reverse transcriptase (NNRTI) Inhibitor of HIVand to identify genetic and non genetic covariates influencing rilpivirine exposure. None of the factors investigated so far showed however any influence of RPV clearance. Importantly, we have found that the standard daily dosage regimen (25 mg QD) proposed for rilpivirine results in concentrations below the proposed therapeutic target in about 40% of patients. In these conditions, virologie escape is a potential risk that remains to be further investigated, notably via the TDM approach that can be a useful tool to identify patients who are at risk for being exposed to less than optimal levels of rilpivirine in plasma. Besides the last generation NNRTI rilpivirine, we have studied efavirenz, the major NNRTI clinically used so far. Namely for efavirenz, we aimed at identifying a potential new marker of toxicity that may be incriminated for the neuropsychological sides effects and hence discontinuation of efavirenz therapy. To that endeavour, a comprehensive analysis of phase I and phase II metabolites profiles has been performed in plasma, CSF and in urine from patients under efavirenz therapy. We have found that phase II metabolites of EFV constitute the major species circulating in blood, sometimes exceeding the levels of the parent drug efavirenz. Moreover we have identified a new metabolite of efavirenz in humans, namely the 8-OH-EFV- sulfate which is present at high concentrations in all body compartments from patients under efavirenz therapy. These investigations may open the way to possible alternate phenotypic markers of efavirenz toxicity. Finally, the specific influence of P-glycoprotein on the cellular disposition of a series ARVs (NNRTIs and Pis] has been studies in in vitro cell systems using the siRNA silencing approach. -- Depuis l'introduction de la thérapie antirétrovirale (ARVs) la morbidité et la mortalité liées au VIH ont considérablement diminué. En parallèle le traitement contre le virus de l'hépatite C (VHC) a connu récemment d'énormes progrès avec l'arrivée de nouveaux médicaments puissants, ce qui a permis une augmentation considérable de la guérison de l'infection par le VHC. En dépit de l'efficacité de ces traitements antiviraux, les échecs thérapeutiques ainsi que les effets secondaires des traitements restent un problème important. Une réponse imparfaite ou la toxicité du traitement est certainement multifactorielle. Le suivi thérapeutique des médicaments [Therapeutic Drug Monitoring TDM) à travers la mesure des concentrations plasmatiques constitue une approche importante pour guider le traitement médicamenteux et de s'assurer que les patients sont exposés à des concentrations optimales des médicaments dans le sang, et puissent tirer tout le bénéfice potentiel du traitement. L'objectif global de cette thèse était d'étudier les facteurs pharmacocinétiques et pharmacogénétiques qui influencent l'exposition des médicaments antiviraux (ARVs et anti- VHC) récemment approuvés. A cet effet, des méthodes de quantification des concentrations plasmatiques des médicaments antirétroviraux, anti-VHC ainsi que pour certains métabolites ont été développées et validées en utilisant la Chromatographie liquide couplée à la spectrométrie de masse tandem. Ces méthodes ont été utilisées pour le TDM des ARVs et pour les agents anti-VHC chez les patients infectés par le VIH, et le VHC, respectivement, mais aussi chez les patients co-infectés par le VIH-VHC. Un modèle de pharmacocinétique de population a été développé pour caractériser la variabilité inter-et intra-patient du médicament rilpivirine, un inhibiteur non nucléosidique de la transcriptase de VIH et d'identifier les variables génétiques et non génétiques influençant l'exposition au médicament. Aucun des facteurs étudiés n'a montré d'influence notable sur la clairance de la rilpivirine. Toutefois, la concentration résiduelle extrapolée selon le modèle de pharmacocinétique de population qui a été développé, a montré qu'une grande proportion des patients présente des concentrations minimales inférieures à la cible thérapeutique proposée. Dans ce contexte, la relation entre les concentrations minimales et l'échappement virologique nécessite une surveillance étroite des taux sanguins des patients recevant de la rilpivirine. A cet effet, le suivi thérapeutique est un outil important pour l'identification des patients à risque soient sous-exposés à lai rilpivirine. Pour identifier de nouveaux marqueurs de la toxicité qui pourraient induire l'arrêt du traitement, le profil des métabolites de phase I et de phase II a été étudié dans différentes matrices [plasma, LCR et urine) provenant de patients recevant de l'efavirenz. Les métabolites de phase II, qui n'avaient à ce jour jamais été investigués, constituent les principales espèces présentes dans les matrices étudiées. Au cours de ces investigations, un nouveau métabolite 8- OH-EFV-sulfate a été identifié chez l'homme, et ce dernier est. présent à des concentrations importantes. L'influence de certains facteurs pharmacogénétique des patients sur le profil des métabolites a été étudiée et ouvre la voie à de possibles nouveaux marqueurs phénotypiques alternatifs qui pourraient possiblement mieux prédire la toxicité associée au traitement par l'efavirenz. Finalement, nous nous sommes intéressés à étudier dans un modèle in vitro certains facteurs, comme la P-glycoprotéine, qui influencent la disposition cellulaire de certains médicaments antirétroviraux, en utilisant l'approche par la technologie du siRNA permettant de bloquer sélectivement l'expression du gène de cette protéine d'efflux des médicaments. -- Depuis l'introduction de la thérapie antiretrovirale (ARVs] la morbidité et la mortalité liées au VIH ont considérablement diminué. En parallèle le traitement contre le virus de l'hépatite C (VHC) a connu récemment d'énormes progrès avec l'arrivée de nouveaux médicaments puissants, ce qui a permis une augmentation considérable de la guérison de l'infection par le VHC. En dépit de l'efficacité de ces traitements antiviraux, les échecs thérapeutiques ainsi que les effets secondaires des traitements restent un problème important. Il a pu être démontré que la concentration de médicament présente dans l'organisme est corrélée avec l'efficacité clinique pour la plupart des médicaments agissant contre le VIH et contre le VHC. Les médicaments antiviraux sont généralement donnés à une posologie fixe et standardisée, à tous les patients, il existe cependant une importante variabilité entre les concentrations sanguines mesurées chez les individus. Cette variabilité peut être expliquée par plusieurs facteurs démographiques, environnementaux ou génétiques. Dans ce contexte, le suivi des concentrations sanguines (ou Therapeutic Drug Monitoring, TDM) permet de contrôler que les patients soient exposés à des concentrations suffisantes (pour bloquer la réplication du virus dans l'organisme) et éviter des concentrations excessives, ce qui peut entraîner l'apparition d'intolérence au traitement. Le but de ce travail de thèse est d'améliorer la compréhension des facteurs pharmacologiques et génétiques qui peuvent influencer l'efficacité et/ou la toxicité des médicaments antiviraux, dans le but d'améliorer le suivi des patients. A cet effet, des méthodes de dosage très sensibles et ont été mises au point pour permettre de quantifier les médicaments antiviraux dans le sang et dans d'autres liquides biologiques. Ces méthodes de dosage sont maintenant utilisées d'une part dans le cadre de la prise en charge des patients en routine et d'autre part pour diverses études cliniques chez les patients infectés soit par le HIV, le HCV ou bien coinfectés par les deux virus. Une partie de ce travail a été consacrée à l'investigation des différents facteurs démographiques, génétiques et environnementaux qui pourraient l'influencer la réponse clinique à la rilpivirine, un nouveau médicament contre le VIH. Toutefois, parmi tous les facteurs étudiés à ce jour, aucun n'a permis d'expliquer la variabilité de l'exposition à la rilpivirine chez les patients. On a pu cependant observer qu'à la posologie standard recommandée, un pourcentage relativement élevé de patients pourrait présenter des concentrations inférieures à la concentration sanguine minimale actuellement proposée. Il est donc utile de surveiller étroitement les concentrations de rilpivirine chez les patients pour identifier sans délai ceux qui risquent d'être sous-exposés. Dans l'organisme, le médicament subit diverses transformations (métabolisme) par des enzymes, notamment dans le foie, il est transporté dans les cellules et tissus par des protéines qui modulent sa concentration au site de son action pharmacologique. A cet effet, différents composés (métabolites) produits dans l'organisme après l'administration d'efavirenz, un autre médicament anti-VIH, ont été étudiés. En conclusion, nous nous sommes intéressés à la fois aux facteurs pharmacologiques et génétiques des traitements antiviraux, une approche qui s'inscrit dans l'optique d'une stratégie globale de prise en charge du patient. Dans ce contexte, le suivi des concentrations sanguines de médicaments constitue une des facettes du domaine émergent de la Médecine Personnalisée qui vise à maximiser le bénéfice thérapeutique et le profil de tolérance des médicaments antiviraux
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50 years ago, the introduction of penicillin, followed by many other antibacterial agents, represented an often underestimated medical revolution. Indeed, until that time, bacterial infections were the prime cause of mortality, especially in children and elderly patients. The discovery of numerous new substances and their development on an industrial scale gave us the illusion that bacterial infections were all but vanquished. However, the widespread and sometimes uncontrolled use of these agents has led to the selection of bacteria resistant to practically all available antibiotics. Bacteria utilize three main resistance strategies: (1) modification of their permeability, (2) modification of target, and (3) modification of the antibiotic. Bacteria modify their permeability either by becoming impermeable to antibiotics, or by actively excreting the drug accumulated in the cell. As an alternative, they can modify the structure of the antibiotic's molecular target--usually an essential metabolic enzyme of the bacterium--and thus escape the drug's toxic effect. Lastly, they can produce enzymes capable of modifying and directly inactivating antibiotics. In addition, bacteria have evolved extremely efficient genetic transfer systems capable of exchanging and accumulating resistance genes. Some pathogens, such as methicillin-resistant Staphylococcus aureus and multiresistant Mycobacterium tuberculosis, have become resistant to almost all available antibiotics and there are only one or two substances still active against such organisms. Antibiotics are very precious drugs which must be administered to patients who need them. On the other hand, the development of resistance must be kept under control by a better comprehension of its mechanisms and modes of transmission and by abiding by the fundamental rules of anti-infectious chemotherapy, i.e.: (1) choose the most efficient antibiotic according to clinical and local epidemiological data, (2) target the bacteria according to the microbiological data at hand, and (3) administer the antibiotic in an adequate dose which will leave the pathogen no chance to develop resistance.
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PURPOSE OF REVIEW: Amplification and overexpression of the epidermal growth factor receptor (EGFR) gene are a hallmark of primary glioblastoma (45%), making it a prime target for therapy. In addition, these amplifications are frequently associated with oncogenic mutations in the extracellular domain. However, efforts at targeting the EGFR tyrosine kinase using small molecule inhibitors or antibodies have shown disappointing efficacy in clinical trials for newly diagnosed or recurrent glioblastoma. Here, we review recent insights into molecular mechanisms relevant for effective targeting of the EGFR pathway. RECENT FINDINGS: Molecular workup of glioblastoma tissue of patients under treatment with small molecule inhibitors has established drug concentrations in the tumor tissue, and has shed light on the effectiveness of target inhibition and respective effects on pathway signaling. Further, functional analyses of interaction of small molecule inhibitors with distinct properties to bind to the active or inactive form of EGFR have provided new insights that will impact the choice of drugs. Finally, vaccination approaches targeting the EGFRvIII mutant featuring a tumor-specific antigen have shown promising results that warrant larger controlled clinical trials. SUMMARY: A combination of preclinical and clinical studies at the molecular level has provided new insights that will allow refining strategies for targeting the EGFR pathway in glioblastoma.
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The MET pathway is dysregulated in many human cancers and promotes tumour growth, invasion and dissemination. Abnormalities in MET signalling have been reported to correlate with poor clinical outcomes and drug resistance in patients with cancer. Thus, MET has emerged as an attractive target for cancer therapy. Several MET inhibitors have been introduced into the clinic, and are currently in all phases of clinical trials. In general, initial results from these studies indicate only a modest benefit in unselected populations. In this Review, we discuss current challenges in developing MET inhibitors--including identification of predictive biomarkers--as well as the most-efficient ways to combine these drugs with other targeted agents or with classic chemotherapy or radiotherapy.
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BACKGROUND: Recommendations for statin use for primary prevention of coronary heart disease (CHD) are based on estimation of the 10- year CHD risk. We compared the 10-year CHD risk assessments and eligibility percentages for statin therapy using three scoring algorithms currently used in Europe. METHODS: We studied 5683 women and men, aged 35-75, without overt cardiovascular disease (CVD), in a population-based study in Switzerland. We compared the 10-year CHD risk using three scoring schemes, i.e., the Framingham risk score (FRS) from the U.S. National Cholesterol Education Program's Adult Treatment Panel III (ATP III), the PROCAM scoring scheme from the International Atherosclerosis Society (IAS), and the European risk SCORE for low-risk countries, without and with extrapolation to 60 years as recommended by the European Society of Cardiology guidelines (ESC). With FRS and PROCAM, high-risk was defined as a 10- year risk of fatal or non-fatal CHD>20% and a 10-year risk of fatal CVD≥5% with SCORE. We compared the proportions of high-risk participants and eligibility for statin use according to these three schemes. For each guideline, we estimated the impact of increased statin use from current partial compliance to full compliance on potential CHD deaths averted over 10 years, using a success proportion of 27% for statins. RESULTS: Participants classified at high-risk (both genders) were 5.8% according to FRS and 3.0% to the PROCAM, whereas the European risk SCORE classified 12.5% at high-risk (15.4% with extrapolation to 60 years). For the primary prevention of CHD, 18.5% of participants were eligible for statin therapy using ATP III, 16.6% using IAS, and 10.3% using ESC (13.0% with extrapolation) because ESC guidelines recommend statin therapy only in high-risk subjects. In comparison with IAS, agreement to identify eligible adults for statins was good with ATP III, but moderate with ESC. Using a population perspective, a full compliance with ATP III guidelines would reduce up to 17.9% of the 24′ 310 CHD deaths expected over 10 years in Switzerland, 17.3% with IAS and 10.8% with ESC (11.5% with extrapolation). CONCLUSIONS: Full compliance with guidelines for statin therapy would result in substantial health benefits, but proportions of high-risk adults and eligible adults for statin use varied substantially depending on the scoring systems and corresponding guidelines used for estimating CHD risk in Europe.
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Matrix effects, which represent an important issue in liquid chromatography coupled to mass spectrometry or tandem mass spectrometry detection, should be closely assessed during method development. In the case of quantitative analysis, the use of stable isotope-labelled internal standard with physico-chemical properties and ionization behaviour similar to the analyte is recommended. In this paper, an example of the choice of a co-eluting deuterated internal standard to compensate for short-term and long-term matrix effect in the case of chiral (R,S)-methadone plasma quantification is reported. The method was fully validated over a concentration range of 5-800 ng/mL for each methadone enantiomer with satisfactory relative bias (-1.0 to 1.0%), repeatability (0.9-4.9%) and intermediate precision (1.4-12.0%). From the results obtained during validation, a control chart process during 52 series of routine analysis was established using both intermediate precision standard deviation and FDA acceptance criteria. The results of routine quality control samples were generally included in the +/-15% variability around the target value and mainly in the two standard deviation interval illustrating the long-term stability of the method. The intermediate precision variability estimated in method validation was found to be coherent with the routine use of the method. During this period, 257 trough concentration and 54 peak concentration plasma samples of patients undergoing (R,S)-methadone treatment were successfully analysed for routine therapeutic drug monitoring.
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Current research and development of antigens for vaccination often center on purified recombinant proteins, viral subunits, synthetic oligopeptides or oligosaccharides, most of them suffering from being poorly immunogenic and subject to degradation. Hence, they call for efficient delivery systems and potent immunostimulants, jointly denoted as adjuvants. Particulate delivery systems like emulsions, liposomes, nanoparticles and microspheres may provide protection from degradation and facilitate the co-formulation of both the antigen and the immunostimulant. Synthetic double-stranded (ds) RNA, such as polyriboinosinic acid-polyribocytidylic acid, poly(I:C), is a mimic of viral dsRNA and, as such, a promising immunostimulant candidate for vaccines directed against intracellular pathogens. Poly(I:C) signaling is primarily dependent on Toll-like receptor 3 (TLR3), and on melanoma differentiation-associated gene-5 (MDA-5), and strongly drives cell-mediated immunity and a potent type I interferon response. However, stability and toxicity issues so far prevented the clinical application of dsRNAs as they undergo rapid enzymatic degradation and bear the potential to trigger undue immune stimulation as well as autoimmune disorders. This review addresses these concerns and suggests strategies to improve the safety and efficacy of immunostimulatory dsRNA formulations. The focus is on technological means required to lower the necessary dosage of poly(I:C), to target surface-modified microspheres passively or actively to antigen-presenting cells (APCs), to control their interaction with non-professional phagocytes and to modulate the resulting cytokine secretion profile.
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Most anticancer drugs are characterised by a steep dose-response relationship and narrow therapeutic window. Inter-individual pharmacokinetic (PK) variability is often substantial. The most relevant PK parameter for cytotoxic drugs is the area under the plasma concentration versus time curve (AUC). Thus it is somewhat surprising that therapeutic drug monitoring (TDM) is still uncommon for the majority of agents. Goals of the review were to assess the rationale for more widely used TDM of cytotoxics in oncology. There are several reasons why TDM has never been fully implemented into daily oncology practice. These include difficulties in establishing appropriate concentration target ranges, common use of combination chemotherapies for many tumour types, analytical challenges with prodrugs, intracellular compounds, the paucity of published data from pharmacological trials and 'Day1=Day21' administration schedules. There are some specific situations for which these limitations are overcome, including high dose methotrexate, 5-fluorouracil infusion, mitotane and some high dose chemotherapy regimens. TDM in paediatric oncology represents an important challenge. Established TDM approaches includes the widely used anticancer agents carboplatin, busulfan and methotrexate, with 13-cis-retinoic acid also recently of interest. Considerable effort should be made to better define concentration-effect relationships and to utilise tools such as population PK/PD models and comparative randomised trials of classic dosing versus pharmacokinetically guided adaptive dosing. There is an important heterogeneity among clinical practices and a strong need to promote TDM guidelines among the oncological community.
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BACKGROUND/AIMS: The Peroxisome Proliferator-Activated Receptor (PPAR) alpha belongs to the superfamily of Nuclear Receptors and plays an important role in numerous cellular processes, including lipid metabolism. It is known that PPARalpha also has an anti-inflammatory effect, which is mainly achieved by down-regulating pro-inflammatory genes. The objective of this study was to further characterize the role of PPARalpha in inflammatory gene regulation in liver. RESULTS: According to Affymetrix micro-array analysis, the expression of various inflammatory genes in liver was decreased by treatment of mice with the synthetic PPARalpha agonist Wy14643 in a PPARalpha-dependent manner. In contrast, expression of Interleukin-1 receptor antagonist (IL-1ra), which was acutely stimulated by LPS treatment, was induced by PPARalpha. Up-regulation of IL-1ra by LPS was lower in PPARalpha -/- mice compared to Wt mice. Transactivation and chromatin immunoprecipitation studies identified IL-1ra as a direct positive target gene of PPARalpha with a functional PPRE present in the promoter. Up-regulation of IL-1ra by PPARalpha was conserved in human HepG2 hepatoma cells and the human monocyte/macrophage THP-1 cell line. CONCLUSIONS: In addition to down-regulating expression of pro-inflammatory genes, PPARalpha suppresses the inflammatory response by direct up-regulation of genes with anti-inflammatory properties.
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ABSTRACT The drug discovery process has been profoundly changed recently by the adoption of computational methods helping the design of new drug candidates more rapidly and at lower costs. In silico drug design consists of a collection of tools helping to make rational decisions at the different steps of the drug discovery process, such as the identification of a biomolecular target of therapeutical interest, the selection or the design of new lead compounds and their modification to obtain better affinities, as well as pharmacokinetic and pharmacodynamic properties. Among the different tools available, a particular emphasis is placed in this review on molecular docking, virtual high throughput screening and fragment-based ligand design.
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Antibody-drug conjugates (ADC) are emerging as powerful treatment strategies with outstanding target-specificity and high therapeutic activity in patients with cancer. Brentuximab vedotin represents a first-in-class ADC directed against CD30(+) malignancies. We hypothesized that its sustained clinical responses could be related to the stimulation of an anticancer immune response. In this study, we demonstrate that the dolastatin family of microtubule inhibitors, from which the cytotoxic component of brentuximab vedotin is derived, comprises potent inducers of phenotypic and functional dendritic cell (DC) maturation. In addition to the direct cytotoxic effect on tumor cells, dolastatins efficiently promoted antigen uptake and migration of tumor-resident DCs to the tumor-draining lymph nodes. Exposure of murine and human DCs to dolastatins significantly increased their capacity to prime T cells. Underlining the requirement of an intact host immune system for the full therapeutic benefit of dolastatins, the antitumor effect was far less pronounced in immunocompromised mice. We observed substantial therapeutic synergies when combining dolastatins with tumor antigen-specific vaccination or blockade of the PD-1-PD-L1 and CTLA-4 coinhibitory pathways. Ultimately, treatment with ADCs using dolastatins induces DC homing and activates cellular antitumor immune responses in patients. Our data reveal a novel mechanism of action for dolastatins and provide a strong rationale for clinical treatment regimens combining dolastatin-based therapies, such as brentuximab vedotin, with immune-based therapies. Cancer Immunol Res; 2(8); 741-55. ©2014 AACR.
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During the past twenty years, various instruments have been developed for the assessment of substance use in adolescents, mainly in the United States. However, few of them have been adapted to, and validated in, French-speaking populations. Consequently, although increasing alcohol and drug use among teenagers has become a major concern, the various health and social programs developed in response to this specific problem have received little attention with regard to follow-up and outcome assessment. A standardized multidimensional assessment instrument adapted for adolescents is needed to assess the individual needs of adolescents and assign them to the most appropriate treatment setting, to provide a single measurement within and across health and social systems, and to conduct treatment outcome evaluations. Moreover, having an available instrument makes it possible to develop longitudinal and transcultural research studies. For this reason, a French version of the Adolescent Drug Abuse Diagnosis (ADAD) was developed and validated at the University Child and Adolescent Psychiatric Clinic in Lausanne, Switzerland. This article aims to discuss the methodological issues that we faced when using the ADAD instrument in a 4-year longitudinal study including adolescent substance users. Methodological aspects relating to the content and format of the instrument, the assessment administration and the statistical analyses are discussed.