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HLA allele distributions and associations in a cohort of LTNPs from China

Background

Various studies have shown that HLA polymorphisms are associated with susceptibility/resistance to HIV-1 infection, and therefore influence the rate of disease progression of HIV/AIDS in individuals of different ethnic backgrounds. Association of HLA with HIV/AIDS has been studied extensively within Caucasians and Africans. However, limited data are available from China.

Methodology

HIV Positive Samples were collected from the SM village in Henan province: SM Cohort. These subjects got infected in the early 90s after taking part in an illegal plasma donation scheme that became contaminated by HIV-1 infection. Our data show that they were infected by a single or a few closely related clade B strains. Control samples collected from a neighboring village. DNA was extracted, HLA-typing done and HLA analysis computed using Arlequin and SAS.

Results

Genetic profile of the cohorts was obtained. On 1 locus: analysis: HLA A*02 (P=0.35), HLA B*15(P=0.02) and HLA B*44(P=0.02) were found to be statistically significant. 2 loci differences include B*13 C*06, B*13 C*06, A*02 C*07, A*24 C*03. 3 loci: A*30 B*13 DRB1*07. Similarly, viral loads and CD4 count associations were computed to find associations co-relating with the HLAs.

Conclusions

This is the first analysis for HLA distribution amongst LTNPs from China, inferring their HLA co-relates with a delayed progression to HIV/AIDS. In our cohort, for slow and long-term non-progressors, there is an enrichment of specific HLAs which appear to be associated with delayed disease progression. Next plan is to initiate T Cell work and also correlate KIR/NK cell responses.

Author information

Correspondence to Mohammad A Rai.

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This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Keywords

  • Viral Load
  • Genetic Profile
  • Henan Province
  • Allele Distribution
  • Cell Work