Supplementary Figure 2: KEGG Pathway Differences in Cisplatin-Induced Kidney Injury

Supplementary Material 2 from a study on gut microbiota–metabolite interactions in cisplatin-induced acute kidney injury in rats. The dataset contains predictions of functional potentials and pathway differences based on 16S rRNA sequencing data, analyzed using PICRUSt with reference to the KEGG database. It was authored by Jiawei Wang and last updated on 2026-04-18.

Use Cases

• Compare differential abundance of KEGG pathways at Level 1 between control and treatment groups based on the bar plot data.
• Identify significantly altered KEGG pathways at Level 2 based on the statistical analysis.
• Rank significantly enriched or depleted KEGG pathways at Level 3 by statistical significance based on the detailed list.

Strengths

• Data is structured around the standardized KEGG pathway hierarchy (Levels 1, 2, and 3).
• Analysis is based on a specific bioinformatics method (PICRUSt).
• Dataset is openly available under a CC-BY-4.0 license.

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 very small (17.1 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Functional predictions derived from 16S rRNA sequencing data using PICRUSt.

Freshness

Last updated 2026-04-18 03:39:57; freshness should be verified.