1. Early inflammation as a footprint of increased mortality risk in infants living with HIV from three African countries
- Author
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Elena Morrocchi, Giuseppe R. Pascucci, Nicola Cotugno, Chiara Pighi, Sara Dominguez-Rodriguez, Maria Raffaella Petrara, Alfredo Tagarro, Louise Kuhn, Mark F. Cotton, Kennedy Otwombe, Maria G. Lain, Paula Vaz, Shaun L. Barnabas, Moira J. Spyer, Elisa Lopez, Sheila Fernández-Luis, Tacilta Nhampossa, Almoustapha I. Maiga, Oumar Dolo, Anita De Rossi, Pablo Rojo, Carlo Giaquinto, Mathias Lichterfeld, Avy Violari, Theresa Smit, Osee Behuhuma, Nigel Klein, Lesley De Armas, Savita Pahwa, Paolo Rossi, Paolo Palma, and EPIICAL consortium
- Subjects
Predictive model ,Inflammatory biomarkers ,IL-6 ,Pediatric population ,HIV infection ,PAMPs and DAMPs ,Medicine ,Science - Abstract
Abstract In this work our aim was to identify early biomarkers in plasma samples associated with mortality in children with perinatal HIV treated early in life, to potentially inform early intervention targeting this vulnerable group. 20/215 children (9.3%) with perinatal HIV, enrolled within 3 months of age died prematurely within the first year of the study, despite early ART initiation. Using a propensity score, we selected 40 alive study participants having similar clinical and virological records compared to the deceased group. 13 HIV unexposed (HU) healthy children were additionally used as controls. Baseline plasma samples were analyzed using a targeted proteomic approach, and to assess pathogen-associated and damage-associated molecular patterns (PAMPs, DAMPs) levels. Data from deceased participants were compared to both control groups, with multivariate logistic regression models used to evaluate the association between mortality and plasma proteins. We developed a machine learning model to predict mortality risk, finding that IL-6 and CXCL11 not only were higher in deceased children than Matched-children with HIV (p
- Published
- 2024
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