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Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis

We applied model‐based meta‐analysis of viral suppression as a function of drug exposure and in vitro potency for short‐term monotherapy in human immunodeficiency virus type 1 (HIV‐1)‐infected treatment‐naïve patients to set pharmacokinetic targets for development of nonnucleoside reverse transcript...

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Autores principales: Xu, Y, Li, YF, Zhang, D, Dockendorf, M, Tetteh, E, Rizk, ML, Grobler, JA, Lai, M‐T, Gobburu, J, Ankrom, W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351339/
https://www.ncbi.nlm.nih.gov/pubmed/27171172
http://dx.doi.org/10.1111/cts.12395
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author Xu, Y
Li, YF
Zhang, D
Dockendorf, M
Tetteh, E
Rizk, ML
Grobler, JA
Lai, M‐T
Gobburu, J
Ankrom, W
author_facet Xu, Y
Li, YF
Zhang, D
Dockendorf, M
Tetteh, E
Rizk, ML
Grobler, JA
Lai, M‐T
Gobburu, J
Ankrom, W
author_sort Xu, Y
collection PubMed
description We applied model‐based meta‐analysis of viral suppression as a function of drug exposure and in vitro potency for short‐term monotherapy in human immunodeficiency virus type 1 (HIV‐1)‐infected treatment‐naïve patients to set pharmacokinetic targets for development of nonnucleoside reverse transcriptase inhibitors (NNRTIs) and integrase strand transfer inhibitors (InSTIs). We developed class‐specific models relating viral load kinetics from monotherapy studies to potency normalized steady‐state trough plasma concentrations. These models were integrated with a literature assessment of doses which demonstrated to have long‐term efficacy in combination therapy, in order to set steady‐state trough concentration targets of 6.17‐ and 2.15‐fold above potency for NNRTIs and InSTIs, respectively. Both the models developed and the pharmacokinetic targets derived can be used to guide compound selection during preclinical development and to predict the dose–response of new antiretrovirals to inform early clinical trial design.
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spelling pubmed-53513392017-05-23 Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis Xu, Y Li, YF Zhang, D Dockendorf, M Tetteh, E Rizk, ML Grobler, JA Lai, M‐T Gobburu, J Ankrom, W Clin Transl Sci Research We applied model‐based meta‐analysis of viral suppression as a function of drug exposure and in vitro potency for short‐term monotherapy in human immunodeficiency virus type 1 (HIV‐1)‐infected treatment‐naïve patients to set pharmacokinetic targets for development of nonnucleoside reverse transcriptase inhibitors (NNRTIs) and integrase strand transfer inhibitors (InSTIs). We developed class‐specific models relating viral load kinetics from monotherapy studies to potency normalized steady‐state trough plasma concentrations. These models were integrated with a literature assessment of doses which demonstrated to have long‐term efficacy in combination therapy, in order to set steady‐state trough concentration targets of 6.17‐ and 2.15‐fold above potency for NNRTIs and InSTIs, respectively. Both the models developed and the pharmacokinetic targets derived can be used to guide compound selection during preclinical development and to predict the dose–response of new antiretrovirals to inform early clinical trial design. John Wiley and Sons Inc. 2016-05-12 2016-08 /pmc/articles/PMC5351339/ /pubmed/27171172 http://dx.doi.org/10.1111/cts.12395 Text en © 2016 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Xu, Y
Li, YF
Zhang, D
Dockendorf, M
Tetteh, E
Rizk, ML
Grobler, JA
Lai, M‐T
Gobburu, J
Ankrom, W
Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title_full Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title_fullStr Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title_full_unstemmed Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title_short Characterizing Class‐Specific Exposure‐Viral Load Suppression Response of HIV Antiretrovirals Using A Model‐Based Meta‐Analysis
title_sort characterizing class‐specific exposure‐viral load suppression response of hiv antiretrovirals using a model‐based meta‐analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351339/
https://www.ncbi.nlm.nih.gov/pubmed/27171172
http://dx.doi.org/10.1111/cts.12395
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