Integrated transcriptomic, molecular docking, and mendelian randomization analysis reveal

210.1 KB of integrated analysis results linking gut microbiota to kidney injury via a propionate-JUN pathway. The dataset includes transcriptomic data from two renal IRI studies (GSE126805 and GSE90861), molecular docking results, and Mendelian randomization associations. Author Jun Li published the dataset on figshare under a CC-BY-4.0 license, last updated May 14, 2026.

Use Cases

• Validate the identified microbial–propionate–JUN regulatory axis based on integrated transcriptomic and MR analysis.
• Replicate molecular docking studies for propionate-JUN interaction using the provided structural data.
• Explore associations between Akkermansia muciniphila/Ruminococcus bromii abundance and kidney injury susceptibility based on the Mendelian randomization results.
• Investigate enrichment of hub genes in TNF and IL-17 signaling pathways as described in the renal IRI datasets.

Strengths

• Integrates results from two distinct renal ischemia-reperfusion injury transcriptomic datasets (GSE126805 and GSE90861).
• Identifies 32 target genes of gut-derived metabolites and specific hub genes like JUN.
• Provides Mendelian randomization results with specific p-values and odds ratios (e.g., Akkermansia muciniphila OR=1.219, p=0.026).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect the specific analytical and methodological bias inherent to the integrated multi-omics approach described.

Provenance

Source

figshare

Collection Method

Integrated analysis combining transcriptomic data, gutMGene/SEA/SwissTargetPrediction databases, molecular docking, and Mendelian randomization.

Freshness

Last updated 2026-05-14 17:38:56; freshness should be verified.