Table 5_The mechanism of gut microbiota in septic cardiomyopathy based on the bulk transcr

A research dataset from figshare, last updated in May 2026, containing results from a study on septic cardiomyopathy. The data includes 5 gut microbiota taxa, 22 metabolites, 461 targets, and 166 differentially expressed genes identified through Mendelian randomization and transcriptome analysis. The author, Yuxia Tao, validated findings using clinical samples to measure cytokine and metabolite levels.

Use Cases

• Identifying causal relationships between gut microbiota and disease based on Mendelian randomization results.
• Validating candidate biomarker genes like STAT3 and SLC5A1 using associated transcriptomic data.
• Exploring regulatory networks involving transcription factors (e.g., FOXC1) and microRNAs (e.g., miR-3120-3p) linked to biomarkers.
• Analyzing immune cell infiltration patterns, such as MDSCs and activated dendritic cells, in septic cardiomyopathy.
• Performing molecular docking simulations using metabolite data like propylene glycol.

Strengths

• Includes results from multiple analytical methods: Mendelian randomization, differential expression, and machine learning.
• Clinical validation data is present, including ELISA measurements for IL-6 and cTnI, and GC-MS for propylene glycol.
• Specific counts are provided for key findings: 5 gut microbiota, 22 metabolites, 461 targets, and 166 differentially expressed genes.
• Released under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small (14.0 KB), indicating it likely contains summary results rather than raw experimental data.
• Geographic and demographic scope of the underlying GWAS and clinical samples is not specified, which may limit generalizability.

Provenance

Source

figshare, author Yuxia Tao.

Collection Method

Generated from public GWAS data using Mendelian randomization, differential expression analysis, machine learning, and validated with clinical assays (ELISA, GC-MS, RT-qPCR).

Freshness

Last updated 2026-05-04 09:32:37.