Associations between phylogenetic clustering and HLA profile among HIV-infected individuals in San Diego, California.

BACKGROUND Specific sequence changes of human immunodeficiency virus type 1 (HIV-1) in the presence of specific HLA molecules may alter the composition and processing of viral peptides, leading to immune escape. Persistence of these mutations after transmission may leave the genetic fingerprint of the transmitter's HLA profile. Here, we evaluated the associations between HLA profiles and the phylogenetic relationships of HIV sequences sampled from a cohort of recently infected individuals in San Diego, California. METHODS We identified transmission clusters within the study cohort, using phylogenetic analysis of sampled HIV pol genotypes at a genetic distance of <1.5%. We then evaluated the association of specific HLA alleles, HLA homozygosity, HLA concordance, race and ethnicity, and mutational patterns within the clustering and nonclustering groups. RESULTS From 350 cohort participants, we identified 162 clustering individuals and 188 nonclustering individuals. We identified trends for enrichment of particular alleles within individual clusters and evidence of viral escape within those clusters. We also found that discordance of HLA alleles was significantly associated with clustering individuals. CONCLUSIONS Some transmission clusters demonstrate HLA enrichment, and viruses in these HLA-associated clusters often show evidence of escape to enriched alleles. Interestingly, HLA discordance was associated with clustering in our predominantly MSM population.

[1]  J. Ioannidis,et al.  Association between maternal and infant class I and II HLA alleles and of their concordance with the risk of perinatal HIV type 1 transmission. , 2002, AIDS research and human retroviruses.

[2]  Jerzy K. Kulski,et al.  The HLA genomic loci map: expression, interaction, diversity and disease , 2009, Journal of Human Genetics.

[3]  Michel Roger,et al.  High rates of forward transmission events after acute/early HIV-1 infection. , 2007, The Journal of infectious diseases.

[4]  D. Richman,et al.  Persistence of Transmitted Drug Resistance among Subjects with Primary Human Immunodeficiency Virus Infection , 2008, Journal of Virology.

[5]  A. Rambaut,et al.  Episodic Sexual Transmission of HIV Revealed by Molecular Phylodynamics , 2008, PLoS medicine.

[6]  Persephone Borrow,et al.  The immune response during acute HIV-1 infection: clues for vaccine development , 2009, Nature Reviews Immunology.

[7]  M. Carrington,et al.  Maternal HLA homozygosity and mother-child HLA concordance increase the risk of vertical transmission of HIV-1. , 2008, The Journal of infectious diseases.

[8]  Tulio de Oliveira,et al.  Molecular Epidemiology: HIV-1 and HCV sequences from Libyan outbreak , 2006, Nature.

[9]  David Heckerman,et al.  HLA Footprints on Human Immunodeficiency Virus Type 1 Are Associated with Interclade Polymorphisms and Intraclade Phylogenetic Clustering , 2009, Journal of Virology.

[10]  D. Richman,et al.  CCL3L1-CCR5 genotype influences durability of immune recovery during antiretroviral therapy of HIV-1–infected individuals , 2008, Nature Medicine.

[11]  Linos Vandekerckhove,et al.  Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections , 2010, BMC infectious diseases.

[12]  B. Walker,et al.  Replicative Capacity of Human Immunodeficiency Virus Type 1 Transmitted from Mother to Child Is Associated with Pediatric Disease Progression Rate , 2009, Journal of Virology.

[13]  N. Nagelkerke,et al.  Mother-child class I HLA concordance increases perinatal human immunodeficiency virus type 1 transmission. , 1998, The Journal of infectious diseases.

[14]  T. Miura,et al.  HLA-Associated Immune Pressure on Gag Protein in CRF01_AE-Infected Individuals and Its Association with Plasma Viral Load , 2010, PloS one.

[15]  J. Mullins,et al.  Molecular Epidemiology of HIV Transmission in a Dental Practice , 1992, Science.

[16]  Bjoern Peters,et al.  Identifying MHC Class I Epitopes by Predicting the TAP Transport Efficiency of Epitope Precursors , 2003, The Journal of Immunology.

[17]  Morten Nielsen,et al.  NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11 , 2008, Nucleic Acids Res..

[18]  P. Klenerman,et al.  HIV/AIDS. HLA leaves its footprints on HIV. , 2002, Science.

[19]  Christopher H Woelk,et al.  A public health model for the molecular surveillance of HIV transmission in San Diego, California , 2009, AIDS.

[20]  D. Richman,et al.  Evaluation of an HIV Nucleic Acid Testing Program With Automated Internet and Voicemail Systems to Deliver Results , 2010, Annals of Internal Medicine.

[21]  R. Brettle,et al.  Mismatched Human Leukocyte Antigen Alleles Protect Against Heterosexual HIV Transmission , 2001, Journal of acquired immune deficiency syndromes.

[22]  A. Westfall,et al.  Transmission of HIV-1 and HLA-B allele-sharing within serodiscordant heterosexual Zambian couples , 2004, The Lancet.

[23]  D. Richman,et al.  Protease polymorphisms in HIV-1 subtype CRF01_AE represent selection by antiretroviral therapy and host immune pressure , 2010, AIDS.

[24]  E. Karita,et al.  HLA class I homozygosity accelerates disease progression in human immunodeficiency virus type 1 infection. , 1999, AIDS research and human retroviruses.

[25]  J. Goedert,et al.  Concordance of human leukocyte antigen haplotype‐sharing, CD4 decline and AIDS in hemophilic siblings , 1995, AIDS.

[26]  L R Weitkamp,et al.  HLA and mate choice in humans. , 1997, American journal of human genetics.

[27]  Todd M. Allen,et al.  Influence of HLA-B57 on clinical presentation and viral control during acute HIV-1 infection , 2003, AIDS (London).

[28]  C. Wedekind,et al.  MHC-dependent mate preferences in humans , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[29]  P. Kloetzel,et al.  Modeling the MHC class I pathway by combining predictions of proteasomal cleavage,TAP transport and MHC class I binding , 2005, Cellular and Molecular Life Sciences CMLS.

[30]  Morten Nielsen,et al.  Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers , 2008, Bioinform..