A plasma proteomic signature links secretome of senescent monocytes to aging- and obesity-related clinical outcomes in humans.

ABSTRACT: Cellular senescence increases with age and contributes to age-related declines and pathologies. We identified circulating biomarkers of senescence associated with diverse clinical traits in humans to facilitate future non-invasive assessment of individual senescence burden and efficacy testing of novel senotherapeutics. Using a novel nanoparticle-based proteomic workflow, we profiled the senescence-associated secretory phenotype (SASP) in monocytes and examined these proteins in plasma samples (N = 1060) from the Baltimore Longitudinal Study of Aging (BLSA). Machine learning models trained on monocyte SASP associated with several age-related phenotypes in a test cohort, including body fat composition, blood lipids, inflammation, and mobility-related traits, among others. Notably, a subset

SUBMITTER: Olinger B 

PROVIDER: S-EPMC11451660 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature