QY7: Microbiota and Metabolite Data from a Dietary Herbal Intervention in Type 2 Diabetes

Bingbing Li's study investigates the interaction between gut microbiota and serum metabolites during a dietary herbal intervention (QingYun7, QY7) for glycemic management in type 2 diabetes. The dataset includes longitudinal monitoring of glucose levels, gut microbiota composition, and serum metabolites from a prospective cohort of 385 patients with T2D, alongside results from animal studies and fecal microbiota transplantation experiments. The data was last updated on 2026-04 -13 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between specific bacterial taxa (e.g., Alistipes shahii, Limosilactobacillus mucosae) and glycemic outcomes based on the described mediation analyses.
• Analyzing longitudinal changes in serum metabolite profiles (e.g., phenyllactic acid, 3-methyl-2-oxobutanoic acid, anandamide) in response to a nutritional intervention.
• Investigating causal links between gut microbiome alterations and blood glucose regulation using insights from the described fecal microbiota transplantation (FMT) experiments.

Strengths

• Includes data from a clinical cohort of 385 patients with type 2 diabetes.
• Features longitudinal monitoring across multiple time points for glucose, microbiota, and metabolites.
• Integrates data from animal models and causal FMT experiments to support translational findings.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.2 MB PDF, which may require extraction or conversion for computational analysis.

Provenance

Source

Bingbing Li via figshare.

Collection Method

Data collected from a prospective clinical cohort study and complementary animal experiments.

Time Range

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Freshness

Last updated 2026-04-13 05:39:31; freshness should be verified.

Geography

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