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To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(-46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(-41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(-5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging.

Original publication

DOI

10.1093/gerona/glu121

Type

Journal article

Journal

J Gerontol A Biol Sci Med Sci

Publication Date

07/2015

Volume

70

Pages

809 - 816

Keywords

Aging, Aptamers., Blood biomarkers, Early development, Nucleotide, Proteomics, Adult, Aged, Aged, 80 and over, Aging, Biomarkers, Carrier Proteins, Cohort Studies, Cytokines, Eye Proteins, Female, Humans, Insulin-Like Growth Factor Binding Protein 6, Male, Matrix Metalloproteinase 12, Middle Aged, Nerve Tissue Proteins, Phenotype, Proteomics, Registries, Twins, United Kingdom