Plasma Metabolomic and Lipidomic Signatures for Rheumatoid Arthritis Treatment Response

Plasma metabolomic and lipidomic data from 106 rheumatoid arthritis patients and 10 healthy controls, collected by Jiani Chen and last updated in 2026. Liquid chromatography–mass spectrometry analysis tentatively annotated 2,279 metabolites and 2,987 lipids, with 12 core features identified as potential biomarkers for treatment non-response. Machine learning models using these features achieved preliminary area under the curve values exceeding 0.90 in internal cross-validation.

Use Cases

• Train machine learning classifiers to predict treatment non-response in rheumatoid arthritis based on the 12 identified core lipid and metabolite features.
• Investigate metabolic pathway alterations associated with high disease activity in rheumatoid arthritis using the annotated metabolomic and lipidomic profiles.
• Validate candidate biomarkers like Cer(d18:1/16:0) and Palmitic acid in independent cohorts for clinical diagnostic applications.
• Explore associations between drug-related metabolites (e.g., Dihydralazine, Acyclovir monophosphate) and disease progression stages.

Strengths

• Includes data from 116 total participants (106 patients, 10 controls), providing a basis for comparative analysis.
• Rigorous statistical evaluation using variable importance in projection and false discovery rate criteria identified 22 associated metabolites and lipids.
• Machine learning models demonstrated promising preliminary discriminatory performance with area under the curve values exceeding 0.90 in internal validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The cohort of 30 selected RA samples is relatively small for definitive biomarker validation.

Provenance

Source

Jiani Chen via figshare

Collection Method

Liquid chromatography–mass spectrometry-based untargeted metabolomics and lipidomics analysis of plasma samples.

Freshness

Last updated 2026-06-04 05:18:33; freshness should be verified.