Gut Microbiota and Septic Cardiomyopathy Biomarkers from Transcriptome and MR Analysis

STAT3 and SLC5A1 were identified as candidate biomarkers linking gut microbiota to septic cardiomyopathy. The dataset includes results from Mendelian randomization analysis of 5 gut microbiota genera, 22 metabolites, and 461 targets, validated with clinical samples. Author Yuxia Tao published this 16.1 KB Excel file on figshare in May 2026.

Use Cases

• Validate causal links between gut microbiota and septic cardiomyopathy based on Mendelian randomization results.
• Investigate the role of biomarkers STAT3 and SLC5A1 in valine, leucine, and isoleucine degradation pathways.
• Analyze immune cell associations, such as MDSCs and activated dendritic cells, in septic cardiomyopathy.
• Explore regulatory networks involving transcription factors like FOXC1 and miRNAs like miR-3120-3p on identified biomarkers.
• Assess the binding activity of the metabolite propylene glycol with biomarker proteins using molecular docking data.

Strengths

• Includes results from multiple analytical methods: Mendelian randomization, differential expression analysis, and machine learning.
• Clinical validation data includes serum IL-6 and cTnI concentrations from patient samples.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 16.1 KB, indicating limited scope, likely containing summary results rather than raw data.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare, author Yuxia Tao.

Collection Method

Analysis of public GWAS data, differential expression, Mendelian randomization, and clinical sample validation (ELISA, GC-MS, RT-qPCR).

Freshness

Last updated 2026-05-04 09:32:38; freshness should be verified.