Plasma Metabolomic Profiles of Sarcopenia in 84 Older Sepsis Patients

A metabolomic dataset from a prospective observational cohort of 84 older patients with sepsis, 35 of whom had sarcopenia. Untargeted metabolomic analysis using UPLC-MS/MS identified 4,752 metabolites, with 203 significantly differential metabolites between groups. The data was contributed by Yiyang Liu and last updated in April 2026.

Use Cases

• Identify metabolic biomarkers for sarcopenia based on 203 differential metabolites.
• Analyze pathway dysregulation based on enrichment in valine/leucine/isoleucine degradation and arachidonic acid metabolism.
• Investigate metabolic network correlations based on the interconnected disorder network described.
• Explore potential therapeutic targets based on the inhibition of steroid hormone synthesis pathways.

Strengths

• Includes data from 84 clinically characterized patients, with 35 in the sarcopenia group.
• Untargeted metabolomic analysis identified 4,752 metabolites, providing a broad profile.
• Multivariate statistical methods (PCA, OPLS-DA) were used to screen 203 significantly differential metabolites.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying metabolite data table is unknown, which may limit suitability assessment.
• The dataset is small in file size (946.1 KB), indicating limited scope.

Provenance

Source

Yiyang Liu via figshare.

Collection Method

Prospective observational cohort study using plasma samples analyzed by UPLC-MS/MS.

Freshness

Last updated 2026-04-30 04:18:48; freshness should be verified.