4.7 Article

Impact of Select Immunologic and Virologic Biomarkers on CD4 Cell Count Decrease in Patients with Chronic HIV-1 Subtype C Infection: Results from Sinikithemba Cohort, Durban, South Africa

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CLINICAL INFECTIOUS DISEASES
卷 49, 期 6, 页码 956-964

出版社

OXFORD UNIV PRESS INC
DOI: 10.1086/605503

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资金

  1. Canadian Institutes of Health Research
  2. South African Department of Science and Technology/National Research Foundation Research Chair in Systems Biology of HIV/AIDS
  3. Bill and Melinda Gates Foundation
  4. International AIDS Vaccine Initiative
  5. South African AIDS Vaccine Initiative
  6. Center for AIDS Research at Harvard University
  7. National Institutes of Health [R01-AI067073, N01-AI-15422, R01-AI46995]
  8. Wellcome Trust
  9. National Cancer Institute and National Institutes of Health [HHSN261200800001E]
  10. Intramural Research Program

向作者/读者索取更多资源

Background. The extent to which immunologic and clinical biomarkers influence human immunodeficiency virus type 1 (HIV-1) infection outcomes remains incompletely characterized, particularly for non-B subtypes. On the basis of data supporting in vitro HIV-1 protein-specific CD8 T lymphocyte responses as correlates of immune control in cross-sectional studies, we assessed the relationship of these responses, along with established HIV-1 biomarkers, with rates of CD4 cell count decrease in individuals infected with HIV-1 subtype C. Methods. Bivariate and multivariate mixed-effects models were used to assess the relationship of baseline CD4 cell count, plasma viral load, human leukocyte antigen (HLA) class I alleles, and HIV-1 protein-specific CD8 T cell responses with the rate of CD4 cell count decrease in a longitudinal population-based cohort of 300 therapy-naive, chronically infected adults with baseline CD4 cell counts >200 cells/mm(3) and plasma viral loads > 500 copies/mL over a median of 25 months of follow-up. Results. In bivariate analyses, baseline CD4 cell count, plasma viral load, and possession of a protective HLA allele correlated significantly with the rate of CD4 cell count decrease. No relationship was observed between HIV-1 protein - specific CD8 T cell responses and CD4 cell count decrease. Results from multivariate models incorporating baseline CD4 cell counts (201-350 vs >350 cells/mm(3)), plasma viral load (<= 100,000 vs >100,000 copies/mL), and HLA (protective vs not protective) yielded the ability to discriminate CD4 cell count decreases over a 10- fold range. The fastest decrease was observed among individuals with CD4 cell counts >350 cells/mm(3) and plasma viral loads >100,000 copies/mL with no protective HLA alleles (-59 cells/mm(3) per year), whereas the slowest decrease was observed among individuals with CD4 cell counts 201-350 cells/mm(3), plasma viral loads <= 100,000 copies/ mL, and a protective HLA allele (-6 cells/mm(3) per year). Conclusions. The combination of plasma viral load and HLA class I type, but not in vitro HIV-1 protein specific CD8 T cell responses, differentiates rates of CD4 cell count decrease in patients with chronic subtype-C infection better than either marker alone.

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