Gut Microbiota Response to Resistant Starch Across Multiple Dietary Intervention Cohorts

586 paired fecal samples from healthy adults across multiple independent cohorts show a consistent reduction in gut microbial alpha diversity with resistant starch supplementation. The data, processed through a unified bioinformatics pipeline, identifies 22 taxa consistently depleted, including putative immunostimulatory pathobionts like Ruminococcus gnavus. Author Biao Dong published this analysis on figshare under a CC-BY-4.0 license, with a last update in May 2026.

Use Cases

• Identifying reproducible microbial taxa responses to dietary fiber based on differential abundance analysis across cohorts.
• Training machine learning classifiers for cross-cohort discrimination of dietary intervention effects based on microbiota profiles.
• Validating the enrichment of specific depleted microbial taxa in inflammatory bowel disease populations mentioned in the description.
• Performing co-occurrence network analysis to explore ecological shifts in gut microbial community structure.

Strengths

• Data integrates 586 paired fecal samples from multiple independent cohorts, reducing inter-study heterogeneity.
• Analysis used a unified bioinformatics pipeline to minimize technical variability.
• Findings were cross-validated in eight inflammatory bowel disease cohorts, showing significant enrichment of depleted taxa.

Limitations

• The dataset is very small at 12.8 KB, indicating limited raw data or summary statistics only.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare, author Biao Dong.

Collection Method

Gut microbiota composition analysis from fecal samples collected during resistant starch dietary interventions.

Freshness

Last updated 2026-05-20 05:44:15.