Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

HLA-C cell surface expression and control of HIV/AIDS correlate with a variant upstream of HLA-C

Abstract

A variant 35 kb upstream of the HLA-C gene (-35C/T) was previously shown to associate with HLA-C mRNA expression level and steady-state plasma HIV RNA levels. We genotyped this variant in 1,698 patients of European ancestry with HIV. Individuals with known seroconversion dates were used for disease progression analysis and those with longitudinal viral load data were used for viral load analysis. We further tested cell surface expression of HLA-C in normal donors using an HLA-C-specific antibody. We show that the -35C allele is a proxy for high HLA-C cell surface expression, and that individuals with high-expressing HLA-C alleles progress more slowly to AIDS and control viremia significantly better than individuals with low HLA-C expressing alleles. These data strongly implicate high HLA-C expression levels in more effective control of HIV-1, potentially through better antigen presentation to cytotoxic T lymphocytes or recognition and killing of infected cells by natural killer cells.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Level of mRNA expression varies among HLA-C alleles and correlates with the -35 SNP.
Figure 2: Variation in the level of surface HLA-C protein correlates with -35 genotype.
Figure 3: Highly expressed HLA-C allotypes control HIV to a greater extent than HLA C allotypes with lower expression.
Figure 4: The phylogram shows neighbor-joining relationships among full-length HLA-C alleles estimated using Kimura's 2-parameter substitution model.

Similar content being viewed by others

References

  1. Carrington, M. & O'Brien, S.J. The influence of HLA genotype on AIDS. Annu. Rev. Med. 54, 535–551 (2003).

    Article  CAS  Google Scholar 

  2. Fellay, J. et al. A whole-genome association study of major determinants for host control of HIV-1. Science 317, 944–947 (2007).

    Article  CAS  Google Scholar 

  3. Gao, X. et al. Effect of a single amino acid change in MHC class I molecules on the rate of progression to AIDS. N. Engl. J. Med. 344, 1668–1675 (2001).

    Article  CAS  Google Scholar 

  4. Gao, X. et al. AIDS restriction HLA allotypes target distinct intervals of HIV-1 pathogenesis. Nat. Med. 11, 1290–1292 (2005).

    Article  CAS  Google Scholar 

  5. Flores-Villanueva, P.O. et al. Control of HIV-1 viremia and protection from AIDS are associated with HLA-Bw4 homozygosity. Proc. Natl. Acad. Sci. USA 98, 5140–5145 (2001).

    Article  CAS  Google Scholar 

  6. Martin, M.P. et al. Epistatic interaction between KIR3DS1 and HLA-B delays the progression to AIDS. Nat. Genet. 31, 429–434 (2002).

    Article  CAS  Google Scholar 

  7. Martin, M.P. et al. Innate partnership of HLA-B and KIR3DL1 subtypes against HIV-1. Nat. Genet. 39, 733–740 (2007).

    Article  CAS  Google Scholar 

  8. Kiepiela, P. et al. Dominant influence of HLA-B in mediating the potential co-evolution of HIV and HLA. Nature 432, 769–775 (2004).

    Article  CAS  Google Scholar 

  9. Alter, G. et al. Differential natural killer cell-mediated inhibition of HIV-1 replication based on distinct KIR/HLA subtypes. J. Exp. Med. 204, 3027–3036 (2007).

    Article  CAS  Google Scholar 

  10. Jin, X. et al. Human immunodeficiency virus type 1 (HIV-1)-specific CD8+-T-cell responses for groups of HIV-1-infected individuals with different HLA-B*35 genotypes. J. Virol. 76, 12603–12610 (2002).

    Article  CAS  Google Scholar 

  11. Qi, Y. et al. KIR/HLA pleiotropism: protection against both HIV and opportunistic infections. PLoS Pathog. 2, e79 (2006).

    Article  Google Scholar 

  12. Stranger, B.E. et al. Genome-wide associations of gene expression variation in humans. PLoS Genet. 1, e78 (2005).

    Article  Google Scholar 

  13. Stranger, B.E. et al. Population genomics of human gene expression. Nat. Genet. 39, 1217–1224 (2007).

    Article  CAS  Google Scholar 

  14. Braud, V.M., Allan, D.S., Wilson, D. & McMichael, A.J. TAP- and tapasin-dependent HLA-E surface expression correlates with the binding of an MHC class I leader peptide. Curr. Biol. 8, 1–10 (1998).

    Article  CAS  Google Scholar 

  15. Shimizu, Y., Geraghty, D.E., Koller, B.H., Orr, H.T. & DeMars, R. Transfer and expression of three cloned human non-HLA-A,B,C class I major histocompatibility complex genes in mutant lymphoblastoid cells. Proc. Natl. Acad. Sci. USA 85, 227–231 (1988).

    Article  CAS  Google Scholar 

  16. Apps, R. et al. Human leucocyte antigen (HLA) expression of primary trophoblast cells and placental cell lines, determined using single antigen beads to characterize allotype specificities of anti-HLA antibodies. Immunology 127, 26–39 (2009).

    Article  CAS  Google Scholar 

  17. Brodsky, F.M., Bodmer, W.F. & Parham, P. Characterization of a monoclonal anti-beta 2-microglobulin antibody and its use in the genetic and biochemical analysis of major histocompatibility antigens. Eur. J. Immunol. 9, 536–545 (1979).

    Article  CAS  Google Scholar 

  18. Barnstable, C.J. et al. Production of monoclonal antibodies to group A erythrocytes, HLA and other human cell surface antigens-new tools for genetic analysis. Cell 14, 9–20 (1978).

    Article  CAS  Google Scholar 

  19. Cohen, G.B. et al. The selective downregulation of class I major histocompatibility complex proteins by HIV-1 protects HIV-infected cells from NK cells. Immunity 10, 661–671 (1999).

    Article  CAS  Google Scholar 

  20. Rammensee, H., Bachmann, J., Emmerich, N.P., Bachor, O.A. & Stevanovic, S. SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics 50, 213–219 (1999).

    Article  CAS  Google Scholar 

  21. Doytchinova, I.A., Guan, P. & Flower, D.R. Identifiying human MHC supertypes using bioinformatic methods. J. Immunol. 172, 4314–4323 (2004).

    Article  CAS  Google Scholar 

  22. Martin, M.P. et al. Genetic acceleration of AIDS progression by a promoter variant of CCR5. Science 282, 1907–1911 (1998).

    Article  CAS  Google Scholar 

  23. Smith, M.W. et al. Contrasting genetic influence of CCR2 and CCR5 variants on HIV-1 infection and disease progression. Hemophilia Growth and Development Study (HGDS), Multicenter AIDS Cohort Study (MACS), Multicenter Hemophilia Cohort Study (MHCS), San Francisco City Cohort (SFCC), ALIVE Study. Science 277, 959–965 (1997).

    Article  CAS  Google Scholar 

  24. Altfeld, M. et al. Influence of HLA-B57 on clinical presentation and viral control during acute HIV-1 infection. AIDS 17, 2581–2591 (2003).

    Article  CAS  Google Scholar 

  25. Fernandez, N.C. et al. A subset of natural killer cells achieves self-tolerance without expressing inhibitory receptors specific for self-MHC molecules. Blood 105, 4416–4423 (2005).

    Article  CAS  Google Scholar 

  26. Kim, S. et al. Licensing of natural killer cells by host major histocompatibility complex class I molecules. Nature 436, 709–713 (2005).

    Article  CAS  Google Scholar 

  27. Yawata, M. et al. Roles for HLA and KIR polymorphisms in natural killer cell repertoire selection and modulation of effector function. J. Exp. Med. 203, 633–645 (2006).

    Article  CAS  Google Scholar 

  28. Anfossi, N. et al. Human NK cell education by inhibitory receptors for MHC class I. Immunity 25, 331–342 (2006).

    Article  CAS  Google Scholar 

  29. Winter, C.C. & Long, E.O. A single amino acid in the p58 killer cell inhibitory receptor controls the ability of natural killer cells to discriminate between the two groups of HLA-C allotypes. J. Immunol. 158, 4026–4028 (1997).

    CAS  PubMed  Google Scholar 

  30. Phair, J. et al. Acquired immune deficiency syndrome occurring within 5 years of infection with human immunodeficiency virus type-1: the Multicenter AIDS Cohort Study. J. Acquir. Immune Defic. Syndr. 5, 490–496 (1992).

    Article  CAS  Google Scholar 

  31. Goedert, J.J. et al. A prospective study of human immunodeficiency virus type 1 infection and the development of AIDS in subjects with hemophilia. N. Engl. J. Med. 321, 1141–1148 (1989).

    Article  CAS  Google Scholar 

  32. Buchbinder, S.P., Katz, M.H., Hessol, N.A., O'Malley, P.M. & Holmberg, S.D. Long-term HIV-1 infection without immunologic progression. AIDS 8, 1123–1128 (1994).

    Article  CAS  Google Scholar 

  33. Vlahov, D. et al. Prognostic indicators for AIDS and infectious disease death in HIV-infected injection drug users: plasma viral load and CD4+ cell count. J. Am. Med. Assoc. 279, 35–40 (1998).

    Article  CAS  Google Scholar 

  34. Emu, B. et al. Phenotypic, functional, and kinetic parameters associated with apparent T-cell control of human immunodeficiency virus replication in individuals with and without antiretroviral treatment. J. Virol. 79, 14169–14178 (2005).

    Article  CAS  Google Scholar 

  35. Martin, M.P. & Carrington, M. KIR genotyping and analysis: genotyping and disease association analysis. Methods Mol. Biol. 415, 49–64 (2008).

    CAS  PubMed  Google Scholar 

  36. Council of State and Territorial Epidemiologists. AIDS Program. Center for Infectious Diseases. Revision of the CDC surveillance case definition for acquired immunodeficiency syndrome. MMWR Morb. Mortal. Wkly. Rep. 36 (suppl.1), 1S–15S (1987).

  37. Price, A.L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904–909 (2006).

    Article  CAS  Google Scholar 

  38. Apps, R., Gardner, L., Hiby, S.E., Sharkey, A.M. & Moffett, A. Conformation of human leucocyte antigen-C molecules at the surface of human trophoblast cells. Immunology 124, 322–328 (2008).

    Article  CAS  Google Scholar 

  39. Menier, C. et al. Characterization of monoclonal antibodies recognizing HLA-G or HLA-E: new tools to analyze the expression of nonclassical HLA class I molecules. Hum. Immunol. 64, 315–326 (2003).

    Article  CAS  Google Scholar 

  40. Lee, N., Goodlett, D.R., Ishitani, A., Marquardt, H. & Geraghty, D.E. HLA-E surface expression depends on binding of TAP-dependent peptides derived from certain HLA class I signal sequences. J. Immunol. 160, 4951–4960 (1998).

    CAS  PubMed  Google Scholar 

  41. Tamura, K., Dudley, J., Nei, M. & Kumar, S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol. Biol. Evol. 24, 1596–1599 (2007).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This project has been funded in whole or in part with federal funds from the National Cancer Institute, National Institutes of Health, under contracts HHSN261200800001E, N02-CP-55504, R01-DA04334 and R01-DA12568. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government. This research was supported in part by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research. This research was partially funded by a grant from the Bill & Melinda Gates Foundation as part of the Collaboration for AIDS Vaccine Discovery. We would also like to acknowledge the Swiss HIV Cohort Study, supported by the Swiss National Science Foundation, and the SCOPE study was funded by the UL1 RR024131 (Clinical and Translational Sciences Award) and P30 AI27763 (Center for AIDS Research) grants. R.A. is funded by the Cambridge Center for Trophoblast Research. We also thank R. Fernando and the Anthony Nolan Research Institute for the Luminex analysis.

Author information

Authors and Affiliations

Authors

Contributions

Author contributions are listed in alphabetical order. Project conception and supervision: M.C.; study rationale: A.M., D.G., D.V.M., J.F., M.C.; data analysis: D.G., Y.Q.; data interpretation and manuscript preparation: M.C., R.A, R.T.; genotyping/sequencing: M.P.M.; R.T.; X.G.; HLA-C expression characterization: G.O.C., R.A., R.T., V.M.; phylogenetic analysis: C.O.H.; clinical samples and data: A.T., B.D.W., G.D.K., J.J.G., J.M., J.N.M., S.B., S.G.D.; manuscript editing: all authors.

Corresponding author

Correspondence to Mary Carrington.

Supplementary information

Supplementary Text and Figures

Supplementary Tables 1, 2, 3, 4 and 6 and Supplementary Figures 1 and 2 (PDF 359 kb)

Supplementary Table 5

Viral load analysis of 47 SNPs in the HLA-C region. (XLS 68 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Thomas, R., Apps, R., Qi, Y. et al. HLA-C cell surface expression and control of HIV/AIDS correlate with a variant upstream of HLA-C. Nat Genet 41, 1290–1294 (2009). https://doi.org/10.1038/ng.486

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ng.486

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing