Microbiota-Metabolite Interactions in Type 2 Diabetes Following Herbal Intervention

A clinical dataset from a prospective cohort of 385 patients with type 2 diabetes, investigating the relationship between gut microbiome composition, serum metabolites, and glycemic response to a dietary herbal intervention (QY7). The data includes longitudinal measurements of blood glucose, gut microbiota, and serum metabolites, and is associated with fecal microbiota transplantation experiments in mice. The dataset was authored by Bingbing Li and last updated in April 2026.

Use Cases

• Identify microbial taxa mediating glycemic improvement based on longitudinal clinical monitoring.
• Analyze serum metabolite profiles as potential intermediaries between gut microbes and glucose levels.
• Model causal relationships in metabolic regulation using data from fecal microbiota transplantation experiments.
• Explore branched-chain amino acid pathway alterations associated with the dietary intervention.

Strengths

• Includes data from a substantial clinical cohort of 385 patients with type 2 diabetes.
• Integrates longitudinal multi-omics data (microbiome, metabolome, glucose) from human and animal studies.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 37.1 KB file size suggests a limited scope, likely containing summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Prospective clinical cohort study and animal experiments, as described.

Time Range

Temporal coverage of the clinical monitoring is not specified.

Freshness

Last updated 2026-04-13 05:39:31

Geography

Spatial coverage is not specified.