Metabolite Profiles of Carotid Artery Plaques for Stroke Risk Prediction

A non-targeted metabolomics analysis was performed on 67 carotid artery plaque samples (40 stable and 27 unstable). The study, authored by Jia-Qi Ma and last updated in May 2026, identified 98 metabolites differentially associated with unstable plaques and used four machine learning algorithms to screen for potential biomarkers.

Use Cases

• Training biomarker discovery models based on 98 differentially expressed metabolites.
• Validating machine learning algorithms (RF, SVM, LASSO, LR) for classifying plaque stability.
• Investigating metabolic pathway associations (e.g., cGMP-PKG signaling) with unstable plaques.

Strengths

• Includes data from 67 clinical samples with clear classification (40 stable, 27 unstable).
• Identifies 98 specific metabolites and 43 metabolite-pathway relationships.
• Applies four distinct machine learning algorithms for feature analysis.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 16.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Non-targeted metabolomics analysis of carotid artery plaque tissue samples.

Freshness

Last updated 2026-05-12 04:20:14.