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Dynamic immune markers predict HIV acquisition and augment associations with sociobehavioral factors for HIV exposure
Author(s)
University of Washington
Sayan Dasgupta
Fred Hutch Cancer Center
Rogelio Valdez
Case Western Reserve University
Urvashi Pandey
University of Washington
Siavash Pasalar
Fred Hutch Cancer Center
Ricardo Alfaro
National University of San Marcos
Florian Hladik
University of Washington
Germán G. Gornalusse
University of Washington
Javier R. Lama
University of Washington
Ann Duerr
University of Washington
Date Issued
19 de noviembre de 2022
Type
Article
Volume
25
Issue
12
Series/Report No.
iScience
Start Page
105632
End Page
105632
ISSN
2589-0042
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