Supplementary Data on Eucommia Polysaccharides and Colitis in Mouse Model

A 638.2 KB DOCX file contains supplementary data from a study on Eucommia polysaccharides for colitis treatment. The research, authored by Wenna Yao and updated in March 2026, used a mouse model with fecal microbiota transplantation to investigate microbial and metabolic changes. The dataset includes information on microbiota composition, bile acid metabolites, and IL-17 pathway gene correlations.

Use Cases

• Analyze correlations between bile acid metabolites like deoxycholic acid (DCA) and specific bacterial genera such as g_Klebsiella.
• Model the relationship between enriched microbial taxa and key genes associated with the IL-17 signaling pathway.
• Compare shifts in microbiota composition, including harmful bacteria like g_unidentified_Enterobacteriaceae, between low-dose and high-dose treatment groups.

Strengths

• Data is associated with a peer-reviewed scientific study on a specific therapeutic intervention.
• Includes measurements of specific microbial genera, bile acid metabolites, and IL-17 pathway genes.
• Released under a permissive CC BY 4.0 license for reuse.

Limitations

• The dataset is very small at 638.2 KB, indicating limited raw data or processed summary tables.
• Data scope is restricted to a controlled mouse model experiment, limiting direct human applicability.
• The exact data structure, column names, and row counts are unknown from the provided description.

Provenance

Source

figshare

Collection Method

Generated from a laboratory study using a mouse model of fecal microbiota transplantation-induced colitis.

Time Range

null

Freshness

Last updated March 2026.

Geography

Laboratory study; specific geographic location of the research is unknown.