Plasma proteomic biomarker signature of age predicts health and life span.

ELife
Toshiko TanakaLuigi Ferrucci

Abstract

Older age is a strong shared risk factor for many chronic diseases, and there is increasing interest in identifying aging biomarkers. Here, a proteomic analysis of 1301 plasma proteins was conducted in 997 individuals between 21 and 102 years of age. We identified 651 proteins associated with age (506 over-represented, 145 underrepresented with age). Mediation analysis suggested a role for partial cis-epigenetic control of protein expression with age. Of the age-associated proteins, 33.5% and 45.3%, were associated with mortality and multimorbidity, respectively. There was enrichment of proteins associated with inflammation and extracellular matrix as well as senescence-associated secretory proteins. A 76-protein proteomic age signature predicted accumulation of chronic diseases and all-cause mortality. These data support the use of proteomic biomarkers to monitor aging trajectories and to identify individuals at higher risk of disease to be targeted for in depth diagnostic procedures and early interventions.

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Citations

Jan 23, 2021·Journal of Personalized Medicine·Yu Gyung KimDo-Yeon Kim
Mar 18, 2021·Aging Cell·Ruin MoaddelLuigi Ferrucci
Jun 20, 2021·Communications Biology·Thjodbjorg EiriksdottirMagnus O Ulfarsson
Jun 18, 2021·Frontiers in Physiology·Ceereena Ubaida-MohienLuigi Ferrucci
Aug 4, 2021·Environmental Health : a Global Access Science Source·Charles BenbrookRobin Mesnage
Oct 22, 2021·Journal of Proteome Research·Eric W DeutschJochen M Schwenk

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Methods Mentioned

BETA
proteomic profiling
genotyping
Assay

Software Mentioned

SOMAmer
base
LonGenity
mDNA HORVATHACCEL
SOMAscan
RColorBrewer
ConsensusPathDB
mDNA PHENOACCEL GRIMACCEL
watermelon R package
INTERVAL

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