Non-invasive plasma glycomic and metabolic biomarkers of post-treatment control of HIV

Abstract

Current HIV cure-focused clinical trials rely on analytic treatment interruption (ATI) to evaluate post-treatment control (PTC). Here, combining untargetted metabolomics and glycomics in two HIV clinical cohorts, in vitro assays, and machine learning, the authors identify and validate metabolic and glycomic biomarkers linked to inflammatory pathways and HIV latency reactivation associated with PTC, suggesting non-invasive biomarkers as an alternative to predict HIV remission.