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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Veröffentlicht in:Aging cell Jg. 17; H. 5; S. e12799 - n/a
Hauptverfasser: 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: Journal Article
Sprache:Englisch
Veröffentlicht: England John Wiley & Sons, Inc 01.10.2018
John Wiley and Sons Inc
Schlagworte:
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
aging
proteomics
healthy aging
plasma
aptamers
humans
ISSN:1474-9718, 1474-9726, 1474-9726
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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Members of the CHI consortium are listed in Appendix 1.
ISSN:1474-9718
1474-9726
1474-9726
DOI:10.1111/acel.12799