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

Wenli Liu published a study on figshare in 2026 investigating the Qitu Qushi Formula (QTQSF) for diabetic kidney disease. The dataset likely contains integrated clinical, animal, and cellular study results, including 16S rRNA sequencing, metabolomics, and transcriptomics data from 30 patients and db/db mice. The research explores the role of gut microbiota-derived indole-3-propionic acid in mediating therapeutic effects.

Use Cases

• Analyzing the relationship between gut microbial composition and renal function based on 16S rRNA sequencing data mentioned in the description.
• Investigating the role of tryptophan metabolism and indole-3-propionic acid in disease pathways based on untargeted and targeted metabolomics results.
• Validating the Sirt1/FoxO1 signaling pathway as a therapeutic target based on transcriptomic and cellular validation data.
• Comparing multi-omics profiles between clinical samples and animal models to understand translational mechanisms.

Strengths

• Integrates data from clinical samples (30 patients), animal models (db/db mice), and cellular studies, providing a multi-faceted view.
• Employs a multi-omics approach including 16S rRNA sequencing, metabolomics, and transcriptomics.
• Includes validation through fecal microbiota transplantation and pseudo-germ-free models.

Limitations

• The primary data file is a 19.4 KB DOCX document, suggesting the dataset is likely a summary or supplementary table rather than raw experimental data.
• Column-level documentation and sample data are unavailable, making field semantics and structure unclear.
• Row count is unknown, which limits suitability assessment for computational analysis.

Provenance

Source

Wenli Liu via figshare.

Collection Method

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

Freshness

Last updated 2026-06-02 05:27:03.