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

A 6-month clinical study of 30 type 2 diabetic kidney disease patients treated with Qitu Qushi Formula (QTQSF), with integrated animal and cellular models. The dataset includes multi-omics analyses such as 16S rRNA sequencing, metabolomics, and transcriptomics. It was authored by Wenli Liu and last updated on 2026-06-02.

Use Cases

• Analyze gut microbial composition changes based on 16S rRNA sequencing data mentioned in the description
• Investigate metabolite profiles, including indole-3-propionic acid (IPA), based on untargeted and targeted metabolomics
• Study gene expression regulation of the Sirt1/FoxO1 pathway based on transcriptomic data
• Correlate clinical renal function outcomes with multi-omics features from integrated patient and animal studies

Strengths

• Integrates clinical, animal, and cellular study data from a 6-month trial
• Includes multi-omics data types: 16S rRNA sequencing, metabolomics, and transcriptomics
• Published under a permissive CC-BY-4.0 license for reuse

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is small in scale at 44.2 KB, indicating limited raw data volume

Provenance

Source

figshare

Collection Method

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

Time Range

Clinical treatment period of 6 months

Freshness

Last updated 2026-06-02 05:43:51; freshness should be verified