Common muscle metabolic signatures highlight arginine and lysine metabolism as potential therapeutic targets to combat unhealthy aging.
Int. J. Mol. Sci. 22:7958 (2021)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
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
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2021
Prepublished im Jahr
HGF-Berichtsjahr
2021
ISSN (print) / ISBN
1661-6596
e-ISSN
1422-0067
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 22,
Heft: 15,
Seiten: ,
Artikelnummer: 7958
Supplement: ,
Reihe
Verlag
MDPI
Verlagsort
Basel
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
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
Copyright
Erfassungsdatum
2021-08-06