Viral load and CD4+ T-cell dynamics in primary HIV-1 subtype C infection

  • Vladimir Novitsky
  • , Elias Woldegabriel
  • , Lemme Kebaabetswe
  • , Raabya Rossenkhan
  • , Busisiwe Mlotshwa
  • , Caitlin Bonney
  • , Mariel Finucane
  • , Rosemary Musonda
  • , Sikhulile Moyo
  • , Carolyn Wester
  • , Erik Van Widenfelt
  • , Joseph Makhema
  • , Stephen Lagakos
  • , M. Essex

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Most knowledge of primary HIV-1 infection is based on subtype B studies, whereas the evolution of viral parameters in the early phase of HIV-1 subtype C infection is not well characterized. METHODS: The kinetics of viral RNA, proviral DNA, CD4 T-cell count, and subsets of CD4 T cells expressing CCR5 or CXCR4 were characterized in 8 acute and 62 recent subtype C infections over the first year postseroconversion. RESULTS: The viral RNA peak was 6.25 ± 0.92 log10 copies per milliliter. After seroconversion, heterogeneity among acute cases was evident by patterns of change in viral load and CD4 T-cell count over time. The patterns were supported by the rate of viral RNA decline from peak (P = 0.022), viral RNA means (P = 0.005), CD4 levels (P < 0.001), and CD4 decline to 350 (P = 0.011) or 200 (P = 0.046). Proviral DNA had no apparent peak and its mean was 2.59 ± 0.69 log10 per 106 peripheral blood mononuclear cell. In recent infections, viral RNA set point was 4.00 ± 0.97 log10 and viral RNA correlated inversely with CD4 T cells (P < 0.001) and directly with proviral DNA (P < 0.001). CONCLUSIONS: Distinct patterns of viral RNA evolution may exist shortly after seroconversion in HIV-1 subtype C infection. The study provides better understanding of the early phase of subtype C infection.

Original languageEnglish
Pages (from-to)65-76
Number of pages12
JournalJournal of Acquired Immune Deficiency Syndromes
Volume50
Issue number1
DOIs
Publication statusPublished - Jan 1 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Infectious Diseases
  • Pharmacology (medical)

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