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Dynamic immune markers predict HIV acquisition and augment associations with sociobehavioral factors for HIV exposure
Author(s)
Sayan Dasgupta
Rogelio Valdez
Urvashi Pandey
Siavash Pasalar
Ricardo Alfaro
Florian Hladik
Germán G. Gornalusse
Javier R. Lama
Ann Duerr
Date Issued
19 de noviembre de 2022
Type
Article
Volume
25
Issue
12
Start Page
105632
End Page
105632
Abstract
study in Peru, and assessed a panel of plasma immune biomarkers at enrollment and longitudinally, including within a month of diagnosis of primary HIV or matched timepoint in controls. We used machine learning to select biomarkers and sociobehavioral covariates predictive of HIV acquisition. Most biomarkers were indistinguishable between cases and controls one month before HIV diagnosis. However, levels differed between cases and controls at study entry, months to years earlier. Dynamic changes in IL-2, IL-7, IL-10, IP-10 and IL-12, rather than absolute levels, jointly predicted HIV risk when added to traditional risk factors, and there was modest effect modification of biomarkers on association between sociobehavioral risk factors and HIV acquisition.
Keywords