Plasma proteomic signature of age in healthy humans

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...

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Published in:	Aging cell 2018-10, Vol.17 (5), p.e12799-n/a
Main Authors:	Tanaka, Toshiko, Biancotto, Angelique, Moaddel, Ruin, Moore, Ann Zenobia, Gonzalez‐Freire, Marta, Aon, Miguel A., Candia, Julián, Zhang, Pingbo, Cheung, Foo, Fantoni, Giovanna, Semba, Richard D., Ferrucci, Luigi, Stagliano, Katie E. R., Sellers, Brian, Kotliarov, Yuri
Format:	Article
Language:	eng
Subjects:	Adult Age Aged Aged, 80 and over aging Aging - blood Apoptosis aptamers Axon guidance Blood coagulation Cardiovascular diseases Cholesterol Chronic diseases Cognitive ability Epidemiology Female Health healthy aging Humans Inflammation Male Middle Aged Molecular Sequence Annotation Original Peptidase plasma Proteins Proteomics Regression analysis Reproducibility of Results Risk factors Young Adult
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Summary:	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.
ISSN:	1474-9718 1474-9726