2018
DOI: 10.1111/acel.12799
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Plasma proteomic signature of age in healthy humans

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 as… Show more

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Cited by 354 publications
(431 citation statements)
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“…1e, Supplementary Table 6). Conversely, an extensive list of aging proteins identified enrichment for blood-related pathways such as heparin and glycosaminoglycan binding, as recently reported 20 .…”
Section: Resultsmentioning
confidence: 68%
See 2 more Smart Citations
“…1e, Supplementary Table 6). Conversely, an extensive list of aging proteins identified enrichment for blood-related pathways such as heparin and glycosaminoglycan binding, as recently reported 20 .…”
Section: Resultsmentioning
confidence: 68%
“…To determine whether these findings are representative of the general population, we compared changes identified in this study with findings from 4 small independent cohorts (n=171, age range 21-107y, Supplementary Fig. 1d) and with findings from an independent study 20 . Even though these independent studies used an older version of the SomaScan assay measuring only a subset of the current proteins (1, 305 proteins; Supplementary Table 2), we observed high consistency of the aging and sex proteomes across cohorts ( Supplementary Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Senescence has been studied successfully in T lymphocytes, skin, and intramuscular fat, and high-throughput methods will be available soon (Evangelou et al, 2016;Lozano-Torres et al, 2017). In addition, specific patterns of circulating proteins may exist that indirectly estimate the burden of senescence (Angelini et al, 2017;Hoffman, Lyu, Pletcher, & Promislow, 2017;Kadota et al, 2018;Menni et al, 2014;Tanaka et al, 2018;Yousefzadeh et al, 2017). Similarly, measures of autophagy are routinely used in mammalian studies and should be applicable to humans (Klionsky, 2014;Klionsky, Cuervo, & Seglen, 2007;Menzies, Moreau, Puri, Renna, & Rubinsztein, 2012).…”
Section: Connec Ting the B I Ology Of Ag Ing With Ag E-a Sso Ciatedmentioning
confidence: 99%
“…The SOMAscan‐based proteomic measurements of 1301 plasma proteins in a population of 240 healthy men and women (22–93 years old) identified growth differentiation factor 15 (GDF15) as the strongest biomarker, positively associated with age. [ 130 ] The proteomic age predictor was developed based on relative concentrations of 76 proteins that highly correlated with chronological age using elastic net regression models (Table S1, Supporting Information).…”
Section: Omics‐based Molecule‐pattern Biomarkersmentioning
confidence: 99%