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First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda

BACKGROUND: Our understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe. Efforts to characterize the response to first-line treatments in other HIV-1 subtypes have been hindered by the availability of...

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Autores principales: Poon, Art F. Y., Ndashimye, Emmanuel, Avino, Mariano, Gibson, Richard, Kityo, Cissy, Kyeyune, Fred, Nankya, Immaculate, Quiñones-Mateu, Miguel E., ARTS, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343277/
https://www.ncbi.nlm.nih.gov/pubmed/30670037
http://dx.doi.org/10.1186/s12981-019-0218-2
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author Poon, Art F. Y.
Ndashimye, Emmanuel
Avino, Mariano
Gibson, Richard
Kityo, Cissy
Kyeyune, Fred
Nankya, Immaculate
Quiñones-Mateu, Miguel E.
ARTS, Eric J.
author_facet Poon, Art F. Y.
Ndashimye, Emmanuel
Avino, Mariano
Gibson, Richard
Kityo, Cissy
Kyeyune, Fred
Nankya, Immaculate
Quiñones-Mateu, Miguel E.
ARTS, Eric J.
author_sort Poon, Art F. Y.
collection PubMed
description BACKGROUND: Our understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe. Efforts to characterize the response to first-line treatments in other HIV-1 subtypes have been hindered by the availability of large study cohorts in resource-limited settings. To maximize our statistical power, we combined HIV-1 sequence and clinical data from every available study population associated with the Joint Clinical Research Centre (JCRC) in Uganda. These records were combined with contemporaneous ART-naive records from Uganda in the Stanford HIVdb database. METHODS: Treatment failures were defined by the presence of HIV genotype records with sample collection dates after the ART start dates in the JCRC database. Drug resistances were predicted by the Stanford HIVdb algorithm, and HIV subtype classification and recombination detection was performed with SCUEAL. We used Bayesian network analysis to evaluate associations between drug exposures and subtypes, and binomial regression for associations with recombination. RESULTS: This is the largest database of first-line treatment failures ([Formula: see text] ) in Uganda to date, with a predicted statistical power of 80% to detect subtype associations at an odds ratio of [Formula: see text] . In the subset where drug regimen data were available, we observed that use of 3TC was associated with a higher rate of first line treatment failure, whereas regimens containing AZT and TDF were associated with reduced rates of failure. In the complete database, we found limited evidence of associations between HIV-1 subtypes and treatment failure, with the exception of a significantly lower frequency of failures among A/D recombinants that comprised about 7% of the population. First-line treatment failure was significantly associated with reduced numbers of recombination breakpoints across subtypes. CONCLUSIONS: Expanding access to first-line ART should confer the anticipated public health benefits in Uganda, despite known differences in the pathogenesis of HIV-1 subtypes. Furthermore, the impact of ART may actually be enhanced by frequent inter-subtype recombination in this region. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12981-019-0218-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-63432772019-01-24 First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda Poon, Art F. Y. Ndashimye, Emmanuel Avino, Mariano Gibson, Richard Kityo, Cissy Kyeyune, Fred Nankya, Immaculate Quiñones-Mateu, Miguel E. ARTS, Eric J. AIDS Res Ther Research BACKGROUND: Our understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe. Efforts to characterize the response to first-line treatments in other HIV-1 subtypes have been hindered by the availability of large study cohorts in resource-limited settings. To maximize our statistical power, we combined HIV-1 sequence and clinical data from every available study population associated with the Joint Clinical Research Centre (JCRC) in Uganda. These records were combined with contemporaneous ART-naive records from Uganda in the Stanford HIVdb database. METHODS: Treatment failures were defined by the presence of HIV genotype records with sample collection dates after the ART start dates in the JCRC database. Drug resistances were predicted by the Stanford HIVdb algorithm, and HIV subtype classification and recombination detection was performed with SCUEAL. We used Bayesian network analysis to evaluate associations between drug exposures and subtypes, and binomial regression for associations with recombination. RESULTS: This is the largest database of first-line treatment failures ([Formula: see text] ) in Uganda to date, with a predicted statistical power of 80% to detect subtype associations at an odds ratio of [Formula: see text] . In the subset where drug regimen data were available, we observed that use of 3TC was associated with a higher rate of first line treatment failure, whereas regimens containing AZT and TDF were associated with reduced rates of failure. In the complete database, we found limited evidence of associations between HIV-1 subtypes and treatment failure, with the exception of a significantly lower frequency of failures among A/D recombinants that comprised about 7% of the population. First-line treatment failure was significantly associated with reduced numbers of recombination breakpoints across subtypes. CONCLUSIONS: Expanding access to first-line ART should confer the anticipated public health benefits in Uganda, despite known differences in the pathogenesis of HIV-1 subtypes. Furthermore, the impact of ART may actually be enhanced by frequent inter-subtype recombination in this region. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12981-019-0218-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-22 /pmc/articles/PMC6343277/ /pubmed/30670037 http://dx.doi.org/10.1186/s12981-019-0218-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Poon, Art F. Y.
Ndashimye, Emmanuel
Avino, Mariano
Gibson, Richard
Kityo, Cissy
Kyeyune, Fred
Nankya, Immaculate
Quiñones-Mateu, Miguel E.
ARTS, Eric J.
First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title_full First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title_fullStr First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title_full_unstemmed First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title_short First-line HIV treatment failures in non-B subtypes and recombinants: a cross-sectional analysis of multiple populations in Uganda
title_sort first-line hiv treatment failures in non-b subtypes and recombinants: a cross-sectional analysis of multiple populations in uganda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343277/
https://www.ncbi.nlm.nih.gov/pubmed/30670037
http://dx.doi.org/10.1186/s12981-019-0218-2
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