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Common muscle metabolic signatures highlight arginine and lysine metabolism as potential therapeutic targets to combat unhealthy aging.

Int. J. Mol. Sci. 22:7958 (2021)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Biological aging research is expected to reveal modifiable molecular mechanisms that can be harnessed to slow or possibly reverse unhealthy trajectories. However, there is first an urgent need to define consensus molecular markers of healthy and unhealthy aging. Established aging hallmarks are all linked to metabolism, and a ‘rewired’ metabolic circuitry has been shown to accelerate or delay biological aging. To identify metabolic signatures distinguishing healthy from unhealthy aging trajectories, we performed nontargeted metabolomics on skeletal muscles from 2-month-old and 21-month-old mice, and after dietary and lifestyle interventions known to impact biological aging. We hypothesized that common metabolic signatures would highlight specific pathways and processes promoting healthy aging, while revealing the molecular underpinnings of unhealthy aging. Here, we report 50 metabolites that commonly distinguished aging trajectories in all cohorts, including 18 commonly reduced under unhealthy aging and 32 increased. We stratified these metabolites according to known relationships with various aging hallmarks and found the greatest associations with oxidative stress and nutrient sensing. Collectively, our data suggest interventions aimed at maintaining skeletal muscle arginine and lysine may be useful therapeutic strategies to minimize biological aging and maintain skeletal muscle health, function, and regenerative capacity in old age.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Aging ; Diet ; Exercise ; Lifestyle ; Metabolic Signatures ; Metabolomics ; Skeletal Muscle; Acid Supplementation; Caloric Restriction; Protein-degradation; Lipid-composition; Stem-cells; Reveals; Healthy; Strength; Musculoskeletal; Senescence
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1661-6596
e-ISSN 1422-0067
Quellenangaben Band: 22, Heft: 15, Seiten: , Artikelnummer: 7958 Supplement: ,
Verlag MDPI
Verlagsort Basel
Begutachtungsstatus Peer reviewed
POF Topic(s) 30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-502594-001
A-630710-001
G-501900-254
G-500600-001
Förderungen Helmholtz Association
Scopus ID 85111107848
PubMed ID 34360722
Erfassungsdatum 2021-08-06