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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-4190299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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