Correlation between CD4 serum and interleukin-10 expression in placenta of HIV-positive pregnant women receiving combined antiretroviral therapy
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: Human immunodeficiency virus (HIV) in pregnant women affects mothers' immune responses, with an increase in pro-inflammatory cytokines.Cluster of differentiation 4 (CD4) is one of the specific factors that can describe the immunity of HIV-infected patients.Low levels of interleukin (IL)-10 in placental serum disrupt prostaglandin balance, causing a massive inflammatory response.The aim of this study was to assess the correlation between CD4 serum and IL-10 expression in the placenta of HIV-infected pregnant women receiving combined antiretroviral therapy (ART). Material and methods:This cross-sectional study used a quantitative analytic approach, and was conducted at Prof. Dr. I.G.N.G.Ngoerah General Hospital Denpasar from May 2022 to September 2022.In this study, full-term pregnant women (≥ 37-42 weeks of gestation) with HIV infection, who have been receiving ART for at least 6 months were enrolled.IL-10 level in placenta and CD4 count in plasma were assessed.Pearson's correlation test was applied, with a significant p-value < 0.01.Results: The Pearson's correlation test results, CD4 levels, and H-score IL-10 were not influenced by the control variable.Mother's age with p = 0.000 (< 0.01) and r xy value of 0.723 was classified as a strong correlation category, with coefficient of determination r xy 2 = 0.523.Analysis with controls for age, duration of treatment, and HIV stage showed significant results (p = 0.000) in correlation between CD4 count and IL-10 expression, with r xy = 0.702 and coefficient of determination r xy 2 = 0.493.Conclusions: CD4 serum levels and IL-10 expression in the placenta of HIV-positive pregnant women on combined antiretroviral therapy, demonstrated a significant relationship.
Source: HIV & AIDS Review
DOI: 10.5114/hivar/177394
Institution: Udayana University
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4416682138
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