Metabolite Biomarkers in Urine for Sarcopenia Screening from 200-Person Study
by figshare admin frontiersin·Updated 3mo ago
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Description
Featuring results from a cross-sectional study of 200 individuals aged 50–70 years, analyzing serum and urine metabolites associated with early sarcopenia. The study identified a panel of five metabolites—L-glutamic acid, xanthine, taurine, succinate, and L‐carnitine—detectable in urine. It provides a foundation for developing accessible screening tools for muscle health decline.
Use Cases
Train a classifier to predict sarcopenia-related metabolic changes using the combined panel of L-glutamic acid, xanthine, taurine, succinate, and L‐carnitine biomarkers.
Analyze correlations between metabolite levels in serum and urine samples from the subset of 60 participants with additional physical assessments.
Investigate the association of metabolite panels with participant data from the International Physical Activity Questionnaire (IPAQ) and Short Physical Performance Battery (SPPB) scores.
Validate the predictive performance of the identified metabolite panel for early alterations in muscle metabolism against dual-energy X-ray absorptiometry (DXA) measurements.
Strengths
Data is derived from a clinical study of 200 individuals, providing a defined sample size.
Includes a subset of 60 participants with comprehensive assessments including SPPB, DXA, and IPAQ.
Identifies a specific panel of five metabolites (L-glutamic acid, xanthine, taurine, succinate, L‐carnitine) associated with the condition.
Limitations
The dataset is very small at 103.7 KB, contained within a PDF, limiting direct analytical use without extraction.
Sample size of 200 individuals and a 60-participant subset may limit statistical power for subgroup analyses.
Cross-sectional design limits the ability to establish causal relationships or track metabolic changes over time.
Provenance
Source
figshare, authored by figshare admin frontiersin.
Collection Method
Targeted metabolomic analyses on serum and urine samples from a cross-sectional observational study.
Freshness
Last updated 2026-03-20.
Geography
General population, specific geography unknown.
Primary data is embedded within a PDF document (103.7 KB); users must extract any underlying tabular data manually. License is CC BY 4.0.