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AIDS. 2010 Mar 27;24(6):819-31. doi: 10.1097/QAD.0b013e3283367836.

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

Author information

1
Division of Medical Virology, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, South Africa.

Abstract

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/microl were determined using multivariate and Cox proportional hazards regression.

RESULTS:

We found that the concentrations of five plasma cytokines, IL-12p40, IL-12p70, IFN-gamma, 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-gamma 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/microl, whereas IL-1alpha, 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.

PMID:
20224308
PMCID:
PMC3001189
DOI:
10.1097/QAD.0b013e3283367836
[Indexed for MEDLINE]
Free PMC Article

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