QTQSF: Multi-Omics Study on Diabetic Kidney Disease and Gut Microbiota

A 2026 study by Wenli Liu investigating the Qitu Qushi Formula's effects on diabetic kidney disease. The research integrates clinical samples from 30 patients, animal models, and cellular studies, using 16S rRNA sequencing, metabolomics, and transcriptomics. The dataset is a 12.2 KB document summarizing the study's methods and findings.

Use Cases

• Analyzing the relationship between gut microbiota composition and renal function based on 16S rRNA sequencing data mentioned in the description
• Investigating microbial tryptophan metabolism and its metabolites like indole-3-propionic acid (IPA) based on untargeted and targeted metabolomics results
• Studying the Sirt1/FoxO1 signaling pathway in podocyte apoptosis based on transcriptomic and cellular validation described
• Evaluating the therapeutic effects of a traditional Chinese medicine formula using integrated clinical and preclinical data described in the study

Strengths

• Integrates clinical data from 30 patients with type 2 DKD over a 6-month treatment period
• Employs a multi-omics approach including 16S rRNA sequencing, metabolomics, and transcriptomics
• Includes validation across clinical, animal (db/db mice), and cellular models

Limitations

• The dataset is a 12.2 KB summary document; raw multi-omics data files are not included
• Column-level documentation and sample data are unavailable, limiting direct analysis
• The row count and detailed data structure are unknown

Provenance

Source

Wenli Liu via figshare

Collection Method

Integrated clinical, animal, and cellular studies with multi-omics analyses.

Time Range

Study published in 2026; specific data collection period not detailed.

Freshness

Last updated 2026-06-02.