QTQSF: Multi-Omics Data on Diabetic Kidney Disease and Gut Microbiota
by Wenli Liu·Updated 6d ago
17.2 KB1files
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Description
A 17.2 KB document describes a multi-omics study investigating the renoprotective effects of Qitu Qushi Formula (QTQSF) on diabetic kidney disease. The research integrates clinical, animal, and cellular studies, including 16S rRNA sequencing, metabolomics, and transcriptomics. The dataset was authored by Wenli Liu and last updated on June 2, 2026.
Use Cases
Analyzing gut microbiota composition changes based on 16S rRNA sequencing data mentioned in the description
Investigating metabolite-host signaling pathways based on the described indole-3-propionic acid (IPA) and Sirt1/FoxO1 axis
Studying the integration of clinical and preclinical models based on the described use of patient samples, db/db mice, and cellular studies
Strengths
Dataset is openly licensed under CC-BY-4.0.
The underlying study employed a multi-omics approach, integrating data from 30 clinical patients, animal models, and cellular validation.
Limitations
The primary data file is a 17.2 KB DOCX document; the underlying raw multi-omics data is not directly provided.
Column-level documentation and sample data are unavailable, requiring manual inspection after download.
Row count and data structure are unknown, limiting suitability assessment.
Provenance
Source
figshare, authored by Wenli Liu.
Collection Method
Integrated clinical, animal, and cellular studies with 16S rRNA sequencing, untargeted/targeted metabolomics, and transcriptomics.
Freshness
Last updated 2026-06-02 05:27:03; freshness should be verified.
The dataset is a small documentation file (17.2 KB DOCX) summarizing a study; the underlying raw multi-omics data tables are not included.