Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

Plasma cytokine levels during acute HIV-1 infection predict HIV disease progression

AIDS, Volume 24, No. 6, Year 2010

Background: Both T-cell activation during early HIV-1 infection and soluble markers of immune activation during chronic infection are predictive of HIV disease progression. Although the acute phase of HIV infection is associated with increased pro-inflammatory cytokine production, the relationship between cytokine concentrations and HIV pathogenesis is unknown. Objectives: To identify cytokine biomarkers measurable in plasma during acute HIV-1 infection that predict HIV disease progression. Design: Study including 40 South African women who became infected with HIV-1 and were followed longitudinally from the time of infection. Methods: The concentrations of 30 cytokines in plasma from women with acute HIV-1 infection were measured and associations between cytokine levels and both viral load set point 12 months postinfection and time taken for CD4 cell counts to fall below 350 cells/μl were determined using multivariate and Cox proportional hazards regression. Results: We found that the concentrations of five plasma cytokines, IL-12p40, IL-12p70, IFN-γ, IL-7 and IL-15 in women with acute infection predicted 66% of the variation in viral load set point 12 months postinfection. IL-12p40, IL-12p70 and IFN-γ were significantly associated with lower viral load, whereas IL-7 and IL-15 were associated with higher viral load. Plasma concentrations of IL-12p40 and granulocyte-macrophage colony-stimulating factor during acute infection were associated with maintenance of CD4 cell counts above 350 cells/μl, whereas IL-1α, eotaxin and IL-7 were associated with more rapid CD4 loss. Conclusion: A small panel of plasma cytokines during acute HIV-1 infection was predictive of long-term HIV disease prognosis in this group of South African women. © 2010 Wolters Kluwer Health | Lippincott Williams & Wilkins.
Statistics
Citations: 218
Authors: 12
Affiliations: 5
Identifiers
Research Areas
Infectious Diseases
Participants Gender
Female