Plasma proteomic biomarker signature of age predicts health and life span.
aging
biomarker
computational biology
epidemiology
global health
healthspan
human
proteomics
systems biology
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
19 11 2020
19 11 2020
Historique:
received:
15
07
2020
accepted:
16
11
2020
pubmed:
20
11
2020
medline:
17
3
2021
entrez:
19
11
2020
Statut:
epublish
Résumé
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
Identifiants
pubmed: 33210602
doi: 10.7554/eLife.61073
pii: 61073
pmc: PMC7723412
doi:
pii:
Substances chimiques
Biomarkers
0
Blood Proteins
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIA NIH HHS
ID : K99 AG065484
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD009164
Pays : United States
Organisme : NIH HHS
ID : U01 AG060906
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG060906
Pays : United States
Organisme : NIH HHS
ID : K99 AG065484
Pays : United States
Déclaration de conflit d'intérêts
TT, NB, GF, JC, AM, AB, BS, SB, LF No competing interests declared
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