Integrated Multi-Omics Data on Matrine Treatment in a Mouse Model of Ulcerative Colitis

43 matrine-responsive metabolites were identified in intestinal luminal contents from a DSS-induced ulcerative colitis mouse model. The dataset integrates metagenomic, fungal ITS sequencing, and untargeted metabolomic data to characterize the coordinated effects of matrine on gut bacteria, fungi, and host metabolism. Authored by Linqi Su and shared under CC-BY-4.0 on figshare in May 2026.

Use Cases

• Identify microbial taxa correlated with pro-inflammatory metabolites based on the described positive correlation with Escherichia.
• Analyze shifts in carbohydrate metabolism and bile acid biosynthesis pathways using metagenomic predictions mentioned in the results.
• Investigate the relationship between fungal community structure (Ascomycota/Basidiomycota ratio) and disease severity in colitis models.
• Model the impact of SCFA-producing bacterial taxa enrichment on epithelial energy metabolism via acylcarnitine levels.

Strengths

• Integrates three distinct omics data types: metagenomics, fungal ITS sequencing, and untargeted metabolomics.
• Identifies 43 specific metabolites responsive to matrine treatment.
• Data is associated with concrete physiological measurements: disease activity index, colon length, and histopathology scores.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from a specific murine model (DSS-induced), limiting direct translation to human UC.

Provenance

Source

figshare

Collection Method

Data generated from a dextran sulfate sodium (DSS)-induced murine model of ulcerative colitis, analyzed via integrated multi-omics approaches.

Freshness

Last updated 2026-05-13 10:22:51; freshness should be verified.