Proteomics discovery in children and young adults with HIV identifies fibrosis, inflammatory, and immune biomarkers associated with myocardial impairment.

Autor: Harrington J; Division of Cardiology, Department of Medicine.; Duke Clinical Research Institute., McCrary AW; Division of Pediatric Cardiology, Department of Pediatrics., Nguyen M; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA., Nyandiko W; Department of Children Health and Paediatrics, Moi University College of Health Science.; Academic Model Providing Access to Healthcare, Eldoret, Kenya., Barker PCA; Division of Pediatric Cardiology, Department of Pediatrics., Koech M; Department of Children Health and Paediatrics, Moi University College of Health Science., Thielman NM; Duke Global Health Institute, Durham, North Carolina, USA., Muehlbauer MJ; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA., Shah SH; Division of Cardiology, Department of Medicine.; Duke Clinical Research Institute.; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA., Bloomfield GS; Division of Cardiology, Department of Medicine.; Duke Clinical Research Institute.; Duke Global Health Institute, Durham, North Carolina, USA.
Jazyk: angličtina
Zdroj: AIDS (London, England) [AIDS] 2024 Jun 01; Vol. 38 (7), pp. 1090-1093. Date of Electronic Publication: 2024 May 01.
DOI: 10.1097/QAD.0000000000003879
Abstrakt: People with HIV are at increased risk of cardiac dysfunction; however, limited tools are available to identify patients at highest risk for future cardiac disease. We performed proteomic profiling using plasma samples from children and young adults with perinatally acquired HIV without clinical cardiac disease, comparing samples from participants with and without an abnormal myocardial performance index (MPI). We identified four proteins independently associated with subclinical cardiac dysfunction: ST2, CA1, EN-RAGE, and VSIG2.
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Databáze: MEDLINE