Systematic screening of viral and human genetic variation identifies antiretroviral resistance and immune escape link.
Publisher DOI
PubMed ID
34061023
Abstract
Background
Considering the remaining threat of drug-resistantmutations (DRMs) to antiretroviral treatment (ART) efficacy, we investigated how the selective pressure of human leukocyte antigen (HLA)-restricted cytotoxic T lymphocytes drives certain DRMs' emergence and retention.
Methods
We systematically screened DRM:HLA class I allele combinations in 3997 ART-naïve Swiss HIV Cohort Study (SHCS) patients. For each pair, a logistic regression model preliminarily tested for an association with the DRM as the outcome. The three HLA:DRM pairs remaining after multiple testing adjustment were analyzed in three ways: cross-sectional logistic regression models to determine any HLA/infection time interaction, survival analyses to examine if HLA type correlated with developing specific DRMs, and via NetMHCpan to find epitope binding evidence of immune escape.
Results
Only one pair, RT-E138:HLA-B18, exhibited a significant interaction between infection duration and HLA. The survival analyses predicted two pairs with an increased hazard of developing DRMs: RT-E138:HLA-B18 and RT-V179:HLA-B35. RT-E138:HLA-B18 exhibited the greatest significance in both analyses (interaction term odds ratio [OR] 1.169 [95% confidence interval (CI) 1.075-1.273]; p-value<0.001; survival hazard ratio 12.211 [95% CI 3.523-42.318]; p-value<0.001). The same two pairs were also predicted by netMHCpan to have epitopic binding.
Conclusions
We identified DRM:HLA pairs where HLA presence is associated with the presence or emergence of the DRM, indicating that the selective pressure for these mutations alternates direction depending on the presence of these HLA alleles.
Funding
Funded by the Swiss National Science Foundation within the framework of the SHCS, and the University of Zurich, University Research Priority Program: Evolution in Action: From Genomes Ecosystems, in Switzerland.
Considering the remaining threat of drug-resistantmutations (DRMs) to antiretroviral treatment (ART) efficacy, we investigated how the selective pressure of human leukocyte antigen (HLA)-restricted cytotoxic T lymphocytes drives certain DRMs' emergence and retention.
Methods
We systematically screened DRM:HLA class I allele combinations in 3997 ART-naïve Swiss HIV Cohort Study (SHCS) patients. For each pair, a logistic regression model preliminarily tested for an association with the DRM as the outcome. The three HLA:DRM pairs remaining after multiple testing adjustment were analyzed in three ways: cross-sectional logistic regression models to determine any HLA/infection time interaction, survival analyses to examine if HLA type correlated with developing specific DRMs, and via NetMHCpan to find epitope binding evidence of immune escape.
Results
Only one pair, RT-E138:HLA-B18, exhibited a significant interaction between infection duration and HLA. The survival analyses predicted two pairs with an increased hazard of developing DRMs: RT-E138:HLA-B18 and RT-V179:HLA-B35. RT-E138:HLA-B18 exhibited the greatest significance in both analyses (interaction term odds ratio [OR] 1.169 [95% confidence interval (CI) 1.075-1.273]; p-value<0.001; survival hazard ratio 12.211 [95% CI 3.523-42.318]; p-value<0.001). The same two pairs were also predicted by netMHCpan to have epitopic binding.
Conclusions
We identified DRM:HLA pairs where HLA presence is associated with the presence or emergence of the DRM, indicating that the selective pressure for these mutations alternates direction depending on the presence of these HLA alleles.
Funding
Funded by the Swiss National Science Foundation within the framework of the SHCS, and the University of Zurich, University Research Priority Program: Evolution in Action: From Genomes Ecosystems, in Switzerland.
Date Issued
2021-06-01
Publication Type
Article
Subject(s)
Subjects
HIV HLA epidemiology global health human infectious disease microbiology mutations
Language(s)
en
Author(s)
Nguyen, Huyen | |
Thorball, Christian Wandell | |
Fellay, Jacques | |
Böni, Jürg | |
Yerly, Sabine | |
Perreau, Matthieu | |
Hirsch, Hans H | |
Kusejko, Katharina | |
Battegay, Manuel | |
Cavassini, Matthias | |
Kahlert, Christian R | |
Bernasconi, Enos | |
Günthard, Huldrych F | |
Kouyos, Roger D |
Additional Credits
Journal
eLife
Publisher
eLife Sciences Publications
ISSN
2050-084X
Access(Rights)
open.access