Systematic screening of viral and human genetic variation identifies antiretroviral resistance and immune escape link.
Anti-Retroviral Agents
/ therapeutic use
Cross-Sectional Studies
Drug Resistance, Viral
/ genetics
Female
Genome, Human
Genome, Viral
HIV Infections
/ drug therapy
HLA Antigens
/ genetics
Humans
Longitudinal Studies
Male
Middle Aged
Mutation
Mutation Rate
Prospective Studies
Risk Assessment
Risk Factors
Switzerland
T-Lymphocytes, Cytotoxic
/ immunology
Treatment Outcome
HIV
HLA
epidemiology
global health
human
infectious disease
microbiology
mutations
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
01 06 2021
01 06 2021
Historique:
received:
09
02
2021
accepted:
18
05
2021
entrez:
1
6
2021
pubmed:
2
6
2021
medline:
21
10
2021
Statut:
epublish
Résumé
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. 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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 34061023
doi: 10.7554/eLife.67388
pii: 67388
pmc: PMC8169104
doi:
pii:
Substances chimiques
Anti-Retroviral Agents
0
HLA Antigens
0
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2021, Nguyen et al.
Déclaration de conflit d'intérêts
HN, CT, JF, JB, SY, MP, HH, KK, MT, MB, CK, RK No competing interests declared, MC has received research and travel grants for his institution from ViiV and Gilead. EB has received fees for his institution for participation to advisory board from MSD, Gilead Sciences, ViiV Healthcare, Abbvie and Janssen. HG HFG has received unrestricted research grants from Gilead Sciences and Roche; fees for data and safety monitoring board membership from Merck; consulting/advisory board membership fees from Gilead Sciences, Sandoz and Mepha; and travel reimbursement from Gilead.
Références
Clin Infect Dis. 2016 Mar 1;62(5):655-663
pubmed: 26620652
Clin Infect Dis. 2013 Oct;57(7):1051-5
pubmed: 23797286
Lancet. 2012 Oct 6;380(9849):1250-8
pubmed: 22828485
Lancet Infect Dis. 2011 May;11(5):363-71
pubmed: 21354861
Nat Med. 1995 Jan;1(1):59-64
pubmed: 7584954
PLoS One. 2014 Mar 07;9(3):e90378
pubmed: 24609066
Clin Vaccine Immunol. 2007 Oct;14(10):1266-73
pubmed: 17715334
J Virol. 2014 Nov;88(22):12937-48
pubmed: 25165115
J Med Virol. 2009 Oct;81(10):1691-701
pubmed: 19697403
PLoS Pathog. 2015 Mar 23;11(3):e1004722
pubmed: 25798934
J Antimicrob Chemother. 2017 Mar 1;72(3):866-875
pubmed: 27999036
Clin Infect Dis. 2016 May 15;62(10):1310-1317
pubmed: 26962075
Int J Epidemiol. 2010 Oct;39(5):1179-89
pubmed: 19948780
AIDS Res Hum Retroviruses. 2001 May 20;17(8):703-17
pubmed: 11429111
Nucleic Acids Res. 2003 Jan 1;31(1):298-303
pubmed: 12520007
PLoS One. 2010 Jun 03;5(6):e10952
pubmed: 20532178
PLoS Comput Biol. 2016 Oct 28;12(10):e1005151
pubmed: 27792722
Adv Immunol. 1979;27:51-177
pubmed: 92183
EClinicalMedicine. 2019 Mar 18;9:26-34
pubmed: 31143879
J Virol. 2006 Oct;80(19):9519-29
pubmed: 16973556
Clin Infect Dis. 2019 Jan 7;68(2):177-187
pubmed: 30052811
Nucleic Acids Res. 2020 Jul 2;48(W1):W449-W454
pubmed: 32406916
PLoS Comput Biol. 2019 Jun 24;15(6):e1007083
pubmed: 31233494
Nat Med. 2007 Jan;13(1):46-53
pubmed: 17173051
Immunogenetics. 2004 Feb;55(11):732-9
pubmed: 14722687
Viral Immunol. 2011 Jun;24(3):189-98
pubmed: 21668360
Nat Med. 2004 Mar;10(3):282-9
pubmed: 14770175
Evol Med Public Health. 2015 Jan 10;2015(1):1
pubmed: 25577609
Science. 2010 Dec 10;330(6010):1551-7
pubmed: 21051598
AIDS. 2011 Nov 13;25(17):2183-8
pubmed: 21860346
Drugs. 2012 Mar 5;72(4):525-41
pubmed: 22356290
PLoS One. 2013 Jun 06;8(6):e64683
pubmed: 23762245
Arch Intern Med. 2007 Sep 10;167(16):1782-90
pubmed: 17846398
J Virol. 2010 Oct;84(19):9879-88
pubmed: 20660184
PLoS Pathog. 2018 Feb 20;14(2):e1006895
pubmed: 29462208
PLoS One. 2017 Sep 27;12(9):e0185559
pubmed: 28953964
PLoS One. 2011;6(6):e20479
pubmed: 21695251
Top HIV Med. 2008 Apr-May;16(1):62-8
pubmed: 18441382
Hum Immunol. 1980 Dec;1(4):297-304
pubmed: 7263314
HIV Med. 2016 Feb;17(2):83-8
pubmed: 26548563
J Infect Dis. 2007 Jul 1;196(1):50-5
pubmed: 17538883
Bioinformatics. 2014 Dec 1;30(23):3310-6
pubmed: 25143287