Proteomics in aging research: A roadmap to clinical, translational research.
Aging
/ blood
Animals
Biomarkers
/ blood
Gene Expression Regulation
Geroscience
/ methods
Humans
Hypoxia-Inducible Factor 1, alpha Subunit
/ blood
MAP Kinase Signaling System
/ genetics
Mitogen-Activated Protein Kinases
/ blood
Prognosis
Proteome
/ metabolism
Proteomics
/ methods
Translational Research, Biomedical
/ methods
aging
geroscience
human
proteomics
Journal
Aging cell
ISSN: 1474-9726
Titre abrégé: Aging Cell
Pays: England
ID NLM: 101130839
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
revised:
31
12
2020
received:
25
10
2020
accepted:
18
01
2021
pubmed:
18
3
2021
medline:
26
2
2022
entrez:
17
3
2021
Statut:
ppublish
Résumé
The identification of plasma proteins that systematically change with age and, independent of chronological age, predict accelerated decline of health is an expanding area of research. Circulating proteins are ideal translational "omics" since they are final effectors of physiological pathways and because physicians are accustomed to use information of plasma proteins as biomarkers for diagnosis, prognosis, and tracking the effectiveness of treatments. Recent technological advancements, including mass spectrometry (MS)-based proteomics, multiplexed proteomic assay using modified aptamers (SOMAscan), and Proximity Extension Assay (PEA, O-Link), have allowed for the assessment of thousands of proteins in plasma or other biological matrices, which are potentially translatable into new clinical biomarkers and provide new clues about the mechanisms by which aging is associated with health deterioration and functional decline. We carried out a detailed literature search for proteomic studies performed in different matrices (plasma, serum, urine, saliva, tissues) and species using multiple platforms. Herein, we identified 232 proteins that were age-associated across studies. Enrichment analysis of the 232 age-associated proteins revealed metabolic pathways previously connected with biological aging both in animal models and in humans, most remarkably insulin-like growth factor (IGF) signaling, mitogen-activated protein kinases (MAPK), hypoxia-inducible factor 1 (HIF1), cytokine signaling, Forkhead Box O (FOXO) metabolic pathways, folate metabolism, advance glycation end products (AGE), and receptor AGE (RAGE) metabolic pathway. Information on these age-relevant proteins, likely expanded and validated in longitudinal studies and examined in mechanistic studies, will be essential for patient stratification and the development of new treatments aimed at improving health expectancy.
Identifiants
pubmed: 33730416
doi: 10.1111/acel.13325
pmc: PMC8045948
doi:
Substances chimiques
Biomarkers
0
HIF1A protein, human
0
Hypoxia-Inducible Factor 1, alpha Subunit
0
Proteome
0
Mitogen-Activated Protein Kinases
EC 2.7.11.24
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13325Subventions
Organisme : NIA NIH HHS
ID : K99 AG065484
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG057723
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG060906
Pays : United States
Informations de copyright
© 2021 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. Published 2021. This article is a U.S. Government work and is in the public domain in the USA.
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