ArticleJournal of cachexia, sarcopenia and muscle2024
Sphingolipid metabolites as potential circulating biomarkers for sarcopenia in men.
Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative efficacy of different interventions on circulating factors in sarcopenia individuals: a systematic review and network meta-analysis.Aging clinical and experimental research · 2026Pooled it
- Association of handgrip strength with the plasma metabolomic profile: secondary analysis of a protein intervention study.Metabolomics : Official journal of the Metabolomic Society · 2026Trial
- Sphingolipid Remodeling and Extracellular Vesicle Signatures Reflect Disease Severity in Facioscapulohumeral Dystrophy Driven by Mitochondrial Dysfunction and Endoplasmic Reticulum Stress.Antioxidants (Basel, Switzerland) · 2026Article
- Characterizing Human Oxidative, Anabolic and Glycolytic Metabolism in Athletes with Extreme Physiologies.Sports medicine - open · 2026Article
- Amino acid metabolites as potential circulating biomarkers for sarcopenia.Scientific reports · 2025Article
- Unravelling the Complexity of Sarcopenia Through a Systems Biology Approach.International journal of molecular sciences · 2025Review
- Sarcosine shows promise in preventing sarcopenia.Nature aging · 2025Article
- Diabetes and Sarcopenia: Metabolomic Signature of Pathogenic Pathways and Targeted Therapies.International journal of molecular sciences · 2025Review
- Towards Precision in Sarcopenia Assessment: The Challenges of Multimodal Data Analysis in the Era of AI.International journal of molecular sciences · 2025Review
- Sphingolipid metabolites as potential circulating biomarkers for sarcopenia in men.Journal of cachexia, sarcopenia and muscle · 2024Article
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Authors and funding
12 authors.
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Abstract
backgroundSarcopenia is an age-related progressive loss of muscle mass and function. Sarcopenia is a multifactorial disorder, including metabolic disturbance; therefore, metabolites may be used as circulating biomarkers for sarcopenia. We aimed to investigate potential biomarkers of sarcopenia using metabolomics.
methodsAfter non-targeted metabolome profiling of plasma from mice of an aging mouse model of sarcopenia, sphingolipid metabolites and muscle cells from the animal model were evaluated using targeted metabolome profiling. The associations between sphingolipid metabolites identified from mouse and cell studies and sarcopenia status were assessed in men in an age-matched discovery (72 cases and 72 controls) and validation (36 cases and 128 controls) cohort; women with sarcopenia (36 cases and 36 controls) were also included as a discovery cohort.
resultsBoth non-targeted and targeted metabolome profiling in the experimental studies showed an association between sphingolipid metabolites, including ceramides (CERs) and sphingomyelins (SMs), and sarcopenia. Plasma SM (16:0), CER (24:1), and SM (24:1) levels in men with sarcopenia were significantly higher in the discovery cohort than in the controls (all P < 0.05). There were no significant differences in plasma sphingolipid levels for women with or without sarcopenia. In men in the discovery cohort, an area under the receiver-operating characteristic curve (AUROC) of SM (16:0) for low muscle strength and low muscle mass was 0.600 (95% confidence interval [CI]: 0.501-0.699) and 0.647 (95% CI: 0.557-0.737). The AUROC (95% CI) of CER (24:1) and SM (24:1) for low muscle mass in men was 0.669 (95% CI: 0.581-0.757) and 0.670 (95% CI: 0.582-0.759), respectively. Using a regression equation combining CER (24:1) and SM (16:0) levels, a sphingolipid (SphL) score was calculated; an AUROC of the SphL score for sarcopenia was 0.712 (95% CI: 0.626-0.798). The addition of the SphL score to HGS significantly improved the AUC from 0.646 (95% CI: 0.575-0.717; HGS only) to 0.751 (95% CI: 0.671-0.831, P = 0.002; HGS + SphL) in the discovery cohort. The predictive ability of the SphL score for sarcopenia was confirmed in the validation cohort (AUROC = 0.695, 95% CI: 0.591-0.799).
conclusionsSM (16:0), reflecting low muscle strength, and CER (24:1) and SM (16:0), reflecting low muscle mass, are potential circulating biomarkers for sarcopenia in men. Further research on sphingolipid metabolites is required to confirm these results and provide additional insights into the metabolomic changes relevant to the pathogenesis and diagnosis of sarcopenia.
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