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Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load
by
Frost, Simon D. W.
, Haubrich, Richard H.
, Kitahata, Mari
, Kahn, James S.
, Aldous, Jeannette L.
, Saag, Michael S.
, Rodríguez, Benigno
, Mathews, W. Christopher
, Boswell, Stephen L.
, Poon, Art F. Y.
in
Acquired immune deficiency syndrome
/ AIDS
/ Antiretroviral agents
/ Antiretroviral drugs
/ Antiretroviral therapy
/ Bayesian analysis
/ Biology
/ CD4 antigen
/ CD4 Lymphocyte Count
/ Demographics
/ DNA polymerases
/ Drug resistance
/ Drug Resistance, Viral - physiology
/ Drugs
/ Female
/ Genomes
/ Genomics
/ Health aspects
/ Highly active antiretroviral therapy
/ HIV
/ HIV-1 - drug effects
/ HIV-1 - genetics
/ Human immunodeficiency virus
/ Human populations
/ Humans
/ Male
/ Mathematical models
/ Medicine
/ Mutation
/ Mutation - genetics
/ North America
/ Proteases
/ Risk analysis
/ Risk factors
/ RNA-directed DNA polymerase
/ Therapy
/ Viral Load
/ Viruses
2011
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Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load
by
Frost, Simon D. W.
, Haubrich, Richard H.
, Kitahata, Mari
, Kahn, James S.
, Aldous, Jeannette L.
, Saag, Michael S.
, Rodríguez, Benigno
, Mathews, W. Christopher
, Boswell, Stephen L.
, Poon, Art F. Y.
in
Acquired immune deficiency syndrome
/ AIDS
/ Antiretroviral agents
/ Antiretroviral drugs
/ Antiretroviral therapy
/ Bayesian analysis
/ Biology
/ CD4 antigen
/ CD4 Lymphocyte Count
/ Demographics
/ DNA polymerases
/ Drug resistance
/ Drug Resistance, Viral - physiology
/ Drugs
/ Female
/ Genomes
/ Genomics
/ Health aspects
/ Highly active antiretroviral therapy
/ HIV
/ HIV-1 - drug effects
/ HIV-1 - genetics
/ Human immunodeficiency virus
/ Human populations
/ Humans
/ Male
/ Mathematical models
/ Medicine
/ Mutation
/ Mutation - genetics
/ North America
/ Proteases
/ Risk analysis
/ Risk factors
/ RNA-directed DNA polymerase
/ Therapy
/ Viral Load
/ Viruses
2011
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Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load
by
Frost, Simon D. W.
, Haubrich, Richard H.
, Kitahata, Mari
, Kahn, James S.
, Aldous, Jeannette L.
, Saag, Michael S.
, Rodríguez, Benigno
, Mathews, W. Christopher
, Boswell, Stephen L.
, Poon, Art F. Y.
in
Acquired immune deficiency syndrome
/ AIDS
/ Antiretroviral agents
/ Antiretroviral drugs
/ Antiretroviral therapy
/ Bayesian analysis
/ Biology
/ CD4 antigen
/ CD4 Lymphocyte Count
/ Demographics
/ DNA polymerases
/ Drug resistance
/ Drug Resistance, Viral - physiology
/ Drugs
/ Female
/ Genomes
/ Genomics
/ Health aspects
/ Highly active antiretroviral therapy
/ HIV
/ HIV-1 - drug effects
/ HIV-1 - genetics
/ Human immunodeficiency virus
/ Human populations
/ Humans
/ Male
/ Mathematical models
/ Medicine
/ Mutation
/ Mutation - genetics
/ North America
/ Proteases
/ Risk analysis
/ Risk factors
/ RNA-directed DNA polymerase
/ Therapy
/ Viral Load
/ Viruses
2011
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Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load
Journal Article
Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load
2011
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Overview
Human immunodeficiency virus type 1 (HIV-1) genomes often carry one or more mutations associated with drug resistance upon transmission into a therapy-naïve individual. We assessed the prevalence and clinical significance of transmitted drug resistance (TDR) in chronically-infected therapy-naïve patients enrolled in a multi-center cohort in North America. Pre-therapy clinical significance was quantified by plasma viral load (pVL) and CD4+ cell count (CD4) at baseline. Naïve bulk sequences of HIV-1 protease and reverse transcriptase (RT) were screened for resistance mutations as defined by the World Health Organization surveillance list. The overall prevalence of TDR was 14.2%. We used a Bayesian network to identify co-transmission of TDR mutations in clusters associated with specific drugs or drug classes. Aggregate effects of mutations by drug class were estimated by fitting linear models of pVL and CD4 on weighted sums over TDR mutations according to the Stanford HIV Database algorithm. Transmitted resistance to both classes of reverse transcriptase inhibitors was significantly associated with lower CD4, but had opposing effects on pVL. In contrast, position-specific analyses of TDR mutations revealed substantial effects on CD4 and pVL at several residue positions that were being masked in the aggregate analyses, and significant interaction effects as well. Residue positions in RT with predominant effects on CD4 or pVL (D67 and M184) were re-evaluated in causal models using an inverse probability-weighting scheme to address the problem of confounding by other mutations and demographic or risk factors. We found that causal effect estimates of mutations M184V/I (-1.7 log₁₀pVL) and D67N/G (-2.1[³√CD4] and 0.4 log₁₀pVL) were compensated by K103N/S and K219Q/E/N/R. As TDR becomes an increasing dilemma in this modern era of highly-active antiretroviral therapy, these results have immediate significance for the clinical management of HIV-1 infections and our understanding of the ongoing adaptation of HIV-1 to human populations.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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