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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)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
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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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Publication type Article: Journal article
Document type Scientific Article
Keywords Aging ; Diet ; Exercise ; Lifestyle ; Metabolic Signatures ; Metabolomics ; Skeletal Muscle; Acid Supplementation; Caloric Restriction; Protein-degradation; Lipid-composition; Stem-cells; Reveals; Healthy; Strength; Musculoskeletal; Senescence
Language english
Publication Year 2021
HGF-reported in Year 2021
ISSN (print) / ISBN 1661-6596
e-ISSN 1422-0067
Quellenangaben Volume: 22, Issue: 15, Pages: , Article Number: 7958 Supplement: ,
Publisher MDPI
Publishing Place Basel
Reviewing status Peer reviewed
POF-Topic(s) 30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
90000 - German Center for Diabetes Research
Research field(s) Helmholtz Diabetes Center
Enabling and Novel Technologies
Genetics and Epidemiology
PSP Element(s) G-502594-001
A-630710-001
G-501900-254
G-500600-001
Grants Helmholtz Association
Scopus ID 85111107848
PubMed ID 34360722
Erfassungsdatum 2021-08-06