Metabolomic Profiles of Four Clostridioides Difficile Strains with Varying Virulence

Huixin Pan's dataset contains metabolomic profiles for four Clostridioides difficile strains with different virulence levels, published on figshare in March 2026. The data includes 3,255 identified metabolites from liquid chromatography-mass spectrometry (LC–MS) analysis. It was used to investigate metabolic differences associated with strain virulence.

Use Cases

• Identify metabolic biomarkers for strain virulence based on the 13 candidate metabolites mentioned.
• Compare metabolic pathway activation (e.g., lipid, bile acid, energy metabolism) across bacterial strains.
• Train classification models to predict bacterial virulence levels using metabolomic profiles.
• Validate findings on the link between metabolic reprogramming and enhanced bacterial infection capability.

Strengths

• Contains 3,255 identified metabolites (1,735 in positive ion mode, 1,520 in negative ion mode).
• Compares four distinct C. difficile strains with defined virulence gradients (RT027/ST1, RT046/ST35, RT017/ST37, RT012/ST54).
• Analysis includes multivariate statistical models (PCA, PLS-DA) and pathway enrichment results.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (18.5 KB), indicating limited raw data scope.

Provenance

Source

Huixin Pan via figshare.

Collection Method

Liquid chromatography-mass spectrometry (LC–MS)-based non-targeted metabolomics on four selected C. difficile strains.

Freshness

Last updated 2026-03-18 07:42:36; freshness should be verified.