Dynamic immune markers predict HIV acquisition and augment associations with sociobehavioral factors for HIV exposure

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 bi...

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Autores principales: Rachel Bender Ignacio, Sayan Dasgupta, Rogelio Valdez, Urvashi Pandey, Siavash Pasalar, Ricardo Alfaro, Florian Hladik, Germán G. Gornalusse, Javier R. Lama, Ann Duerr
Formato: Artículo
Lenguaje:inglés
Publicado: 2022
Materias:
Human immunodeficiency virus (HIV)
Immune system
Immunology
Case-control study
Medicine
Association (psychology)
Psychology
Internal medicine
Psychotherapist
Life Sciences Immunology and Microbiology Virology HIV Research and Treatment
Health Sciences Medicine Infectious Diseases HIV/AIDS Research and Interventions
Health Sciences Health Professions General Health Professions Adolescent Sexual and Reproductive Health
Acceso en línea:Ver en el sistema de origen
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Sumario: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.

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