Serum Metabolomics Profiles for Cerebral Infraction Patients and Controls

A 2026 study by Dayong Guo compared serum metabolic profiles between 10 patients with cerebral infarction and 10 control subjects using LC-MS metabolomics. The dataset includes 3,160 identified metabolites, with 329 differential metabolites distinguishing the groups. Analysis revealed distinct metabolic signatures involving benzene derivatives, amino acids, organic acids, and lipids.

Use Cases

• Identifying potential serum biomarkers for cerebral infarction based on differential metabolite levels
• Analyzing metabolic pathway disturbances (lipid, amino acid, energy metabolism) mentioned in the study
• Building classification models to distinguish patient groups based on metabolic signatures
• Investigating correlations between specific metabolite classes (e.g., benzene derivatives and amino acids) as described

Strengths

• Includes 3,160 identified metabolites from serum samples
• Clear group separation demonstrated by PCA and OPLS-DA models
• Identifies 329 differential metabolites between patient and control groups
• Provides detailed proportions of metabolite classes (e.g., benzene derivatives at 15.71%)

Limitations

• Small sample size (10 patients, 10 controls)
• Row count and column-level documentation are unknown
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Dayong Guo via figshare

Collection Method

LC-MS-based serum metabolomics analysis

Freshness

Last updated 2026-04-09 05:15:40