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Early immune adaptation in HIV-1 revealed by population-level approaches

BACKGROUND: The reproducible nature of HIV-1 escape from HLA-restricted CD8+ T-cell responses allows the identification of HLA-associated viral polymorphisms “at the population level” – that is, via analysis of cross-sectional, linked HLA/HIV-1 genotypes by statistical association. However, elucidat...

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Autores principales: Martin, Eric, Carlson, Jonathan M, Le, Anh Q, Chopera, Denis R, McGovern, Rachel, Rahman, Manal A, Ng, Carmond, Jessen, Heiko, Kelleher, Anthony D, Markowitz, Martin, Allen, Todd M, Milloy, M-J, Carrington, Mary, Wainberg, Mark A, Brumme, Zabrina L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190299/
https://www.ncbi.nlm.nih.gov/pubmed/25212686
http://dx.doi.org/10.1186/s12977-014-0064-1
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author Martin, Eric
Carlson, Jonathan M
Le, Anh Q
Chopera, Denis R
McGovern, Rachel
Rahman, Manal A
Ng, Carmond
Jessen, Heiko
Kelleher, Anthony D
Markowitz, Martin
Allen, Todd M
Milloy, M-J
Carrington, Mary
Wainberg, Mark A
Brumme, Zabrina L
author_facet Martin, Eric
Carlson, Jonathan M
Le, Anh Q
Chopera, Denis R
McGovern, Rachel
Rahman, Manal A
Ng, Carmond
Jessen, Heiko
Kelleher, Anthony D
Markowitz, Martin
Allen, Todd M
Milloy, M-J
Carrington, Mary
Wainberg, Mark A
Brumme, Zabrina L
author_sort Martin, Eric
collection PubMed
description BACKGROUND: The reproducible nature of HIV-1 escape from HLA-restricted CD8+ T-cell responses allows the identification of HLA-associated viral polymorphisms “at the population level” – that is, via analysis of cross-sectional, linked HLA/HIV-1 genotypes by statistical association. However, elucidating their timing of selection traditionally requires detailed longitudinal studies, which are challenging to undertake on a large scale. We investigate whether the extent and relative timecourse of immune-driven HIV adaptation can be inferred via comparative cross-sectional analysis of independent early and chronic infection cohorts. RESULTS: Similarly-powered datasets of linked HLA/HIV-1 genotypes from individuals with early (median < 3 months) and chronic untreated HIV-1 subtype B infection, matched for size (N > 200/dataset), HLA class I and HIV-1 Gag/Pol/Nef diversity, were established. These datasets were first used to define a list of 162 known HLA-associated polymorphisms detectable at the population level in cohorts of the present size and host/viral genetic composition. Of these 162 known HLA-associated polymorphisms, 15% (occurring at 14 Gag, Pol and Nef codons) were already detectable via statistical association in the early infection dataset at p ≤ 0.01 (q < 0.2) – identifying them as the most consistently rapidly escaping sites in HIV-1. Among these were known rapidly-escaping sites (e.g. B*57-Gag-T242N) and others not previously appreciated to be reproducibly rapidly selected (e.g. A*31:01-associated adaptations at Gag codons 397, 401 and 403). Escape prevalence in early infection correlated strongly with first-year escape rates (Pearson’s R = 0.68, p = 0.0001), supporting cross-sectional parameters as reliable indicators of longitudinally-derived measures. Comparative analysis of early and chronic datasets revealed that, on average, the prevalence of HLA-associated polymorphisms more than doubles between these two infection stages in persons harboring the relevant HLA (p < 0.0001, consistent with frequent and reproducible escape), but remains relatively stable in persons lacking the HLA (p = 0.15, consistent with slow reversion). Published HLA-specific Hazard Ratios for progression to AIDS correlated positively with average escape prevalence in early infection (Pearson’s R = 0.53, p = 0.028), consistent with high early within-host HIV-1 adaptation (via rapid escape and/or frequent polymorphism transmission) as a correlate of progression. CONCLUSION: Cross-sectional host/viral genotype datasets represent an underutilized resource to identify reproducible early pathways of HIV-1 adaptation and identify correlates of protective immunity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-014-0064-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-41902992014-10-10 Early immune adaptation in HIV-1 revealed by population-level approaches Martin, Eric Carlson, Jonathan M Le, Anh Q Chopera, Denis R McGovern, Rachel Rahman, Manal A Ng, Carmond Jessen, Heiko Kelleher, Anthony D Markowitz, Martin Allen, Todd M Milloy, M-J Carrington, Mary Wainberg, Mark A Brumme, Zabrina L Retrovirology Research BACKGROUND: The reproducible nature of HIV-1 escape from HLA-restricted CD8+ T-cell responses allows the identification of HLA-associated viral polymorphisms “at the population level” – that is, via analysis of cross-sectional, linked HLA/HIV-1 genotypes by statistical association. However, elucidating their timing of selection traditionally requires detailed longitudinal studies, which are challenging to undertake on a large scale. We investigate whether the extent and relative timecourse of immune-driven HIV adaptation can be inferred via comparative cross-sectional analysis of independent early and chronic infection cohorts. RESULTS: Similarly-powered datasets of linked HLA/HIV-1 genotypes from individuals with early (median < 3 months) and chronic untreated HIV-1 subtype B infection, matched for size (N > 200/dataset), HLA class I and HIV-1 Gag/Pol/Nef diversity, were established. These datasets were first used to define a list of 162 known HLA-associated polymorphisms detectable at the population level in cohorts of the present size and host/viral genetic composition. Of these 162 known HLA-associated polymorphisms, 15% (occurring at 14 Gag, Pol and Nef codons) were already detectable via statistical association in the early infection dataset at p ≤ 0.01 (q < 0.2) – identifying them as the most consistently rapidly escaping sites in HIV-1. Among these were known rapidly-escaping sites (e.g. B*57-Gag-T242N) and others not previously appreciated to be reproducibly rapidly selected (e.g. A*31:01-associated adaptations at Gag codons 397, 401 and 403). Escape prevalence in early infection correlated strongly with first-year escape rates (Pearson’s R = 0.68, p = 0.0001), supporting cross-sectional parameters as reliable indicators of longitudinally-derived measures. Comparative analysis of early and chronic datasets revealed that, on average, the prevalence of HLA-associated polymorphisms more than doubles between these two infection stages in persons harboring the relevant HLA (p < 0.0001, consistent with frequent and reproducible escape), but remains relatively stable in persons lacking the HLA (p = 0.15, consistent with slow reversion). Published HLA-specific Hazard Ratios for progression to AIDS correlated positively with average escape prevalence in early infection (Pearson’s R = 0.53, p = 0.028), consistent with high early within-host HIV-1 adaptation (via rapid escape and/or frequent polymorphism transmission) as a correlate of progression. CONCLUSION: Cross-sectional host/viral genotype datasets represent an underutilized resource to identify reproducible early pathways of HIV-1 adaptation and identify correlates of protective immunity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-014-0064-1) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-29 /pmc/articles/PMC4190299/ /pubmed/25212686 http://dx.doi.org/10.1186/s12977-014-0064-1 Text en © Martin et al., licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Martin, Eric
Carlson, Jonathan M
Le, Anh Q
Chopera, Denis R
McGovern, Rachel
Rahman, Manal A
Ng, Carmond
Jessen, Heiko
Kelleher, Anthony D
Markowitz, Martin
Allen, Todd M
Milloy, M-J
Carrington, Mary
Wainberg, Mark A
Brumme, Zabrina L
Early immune adaptation in HIV-1 revealed by population-level approaches
title Early immune adaptation in HIV-1 revealed by population-level approaches
title_full Early immune adaptation in HIV-1 revealed by population-level approaches
title_fullStr Early immune adaptation in HIV-1 revealed by population-level approaches
title_full_unstemmed Early immune adaptation in HIV-1 revealed by population-level approaches
title_short Early immune adaptation in HIV-1 revealed by population-level approaches
title_sort early immune adaptation in hiv-1 revealed by population-level approaches
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190299/
https://www.ncbi.nlm.nih.gov/pubmed/25212686
http://dx.doi.org/10.1186/s12977-014-0064-1
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