Microbiota-Metabolite Interactions and Glycemic Improvement in Type 2 Diabetes
by Bingbing Li·Updated 2mo ago
26.0 KB1files
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Description
385 patients with type 2 diabetes received a dietary herbal intervention (QY7) in a prospective cohort study. The dataset likely contains longitudinal measurements of blood glucose, gut microbiota composition, and serum metabolites, as described in the study by Bingbing Li, last updated in April 2026. Fecal microbiota transplantation experiments in mice were used to evaluate causal links between microbiome changes and glycemic outcomes.
Use Cases
Modeling the relationship between specific bacterial taxa (e.g., Alistipes shahii, Limosilactobacillus mucosae) and glucose levels based on mediation analyses described.
Analyzing longitudinal changes in serum metabolites, such as phenyllactic acid or anandamide, in response to a dietary intervention.
Investigating causal mechanisms in glycemic regulation using results from fecal microbiota transplantation experiments mentioned in the description.
Exploring associations between branched-chain amino acid pathway alterations and clinical outcomes in type 2 diabetes.
Strengths
Includes data from a clinical cohort of 385 patients with type 2 diabetes.
Integrates multiple data types: longitudinal glucose measurements, gut microbiota, and serum metabolites.
License is CC-BY-4.0, permitting open reuse with attribution.
Limitations
Row count and column-level documentation are unknown, requiring manual inspection after download.
The dataset is small (26.0 KB), indicating limited scope or a summary table rather than raw experimental data.
Provenance
Source
figshare, author Bingbing Li
Collection Method
Prospective clinical cohort study and animal experiments, as described.
Time Range
null
Freshness
Last updated 2026-04-13 05:39:32
Geography
null
Data is in XLSX format; requires software capable of reading Excel files.