Plasma Metabolomics and Cytokine Profiles in Multiple Sclerosis Patients

A 2026 study by Xiao-xi Zhu analyzed plasma samples from 20 relapsing-remitting multiple sclerosis (RRMS) patients and 22 healthy controls using LC-MS/MS metabolomics. The analysis identified 26 differentially abundant metabolites, including long-chain fatty acids like palmitic acid and arachidonic acid, and measured levels of 12 cytokines and chemokines such as TNF-α and IL17A.

Use Cases

• Identify potential RRMS biomarkers by analyzing the differential abundance of specific long-chain fatty acids like palmitic acid (FA 16:0) and arachidonic acid (FA 20:4).
• Investigate the immune-metabolic network by modeling correlations between fatty acid levels (e.g., FA 20:4) and pro-inflammatory cytokine concentrations (e.g., IL17A).
• Build a diagnostic classifier using ROC analysis on combined fatty acid features such as FA 12:0, FA 18:1, FA 16:0, and FA 20:4.
• Analyze pathway enrichment for the 26 differentially abundant metabolites within amino acid and lipid synthesis/metabolism processes.

Strengths

• Includes data from a controlled study with 20 RRMS patients and 22 age- and sex-matched healthy controls.
• Reports statistical significance (P_adj values) and correlation coefficients (r) for key findings, such as the link between FA 20:4 and IL17A.
• Provides quantitative diagnostic performance metrics, including AUC values up to 0.952 for combined fatty acid biomarkers.

Limitations

• Small sample size of 42 total subjects limits statistical power and generalizability of findings.
• Data is presented in a DOCX document (17.0 KB), not a structured tabular format, requiring manual extraction for computational analysis.
• Study design is cross-sectional, providing a snapshot that cannot establish causality in the observed metabolic and immune relationships.

Provenance

Source

figshare, authored by Xiao-xi Zhu.

Collection Method

Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based untargeted metabolomics on plasma samples.

Freshness

Last updated March 24, 2026.