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Plasma Proteomic Signature of Age in Healthy Humans
Aging Cell, 17 (5), e12799 Oct 2018 doi:
Toshiko Tanaka, Angelique Biancotto, Ruin Moaddel, Ann Zenobia Moore, Marta Gonzalez-Freire, Miguel A Aon, Julián Candia, Pingbo Zhang, Foo Cheung, Giovanna Fantoni, CHI consortium, Richard D Semba, Luigi Ferrucci
Abstract:
To characterize the proteomic signature of chronological age, 1,301 proteins were measured in plasma using the SOMAscan assay (SomaLogic, Boulder, CO, USA) in a population of 240 healthy men and women, 22-93 years old, who were disease- and treatment-free and had no physical and cognitive impairment. Using a p ≤ 3.83 × 10-5 significance threshold, 197 proteins were positively associated, and 20 proteins were negatively associated with age. Growth differentiation factor 15 (GDF15) had the strongest, positive association with age (GDF15; 0.018 ± 0.001, p = 7.49 × 10-56 ). In our sample, GDF15 was not associated with other cardiovascular risk factors such as cholesterol or inflammatory markers. The functional pathways enriched in the 217 age-associated proteins included blood coagulation, chemokine and inflammatory pathways, axon guidance, peptidase activity, and apoptosis. Using elastic net regression models, we created a proteomic signature of age based on relative concentrations of 76 proteins that highly correlated with chronological age (r = 0.94). The generalizability of our findings needs replication in an independent cohort.
PMID: 29992704
Free Full-Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156492/
Tags: aging characterization, humans, proteomics