Supplementary file 1_The mechanism of gut microbiota in septic cardiomyopathy based on the

Supplementary data from a study identifying 2 candidate biomarkers (STAT3 and SLC5A1) associated with gut microbiota in septic cardiomyopathy. The analysis is based on 5 gut microbiota taxa from MR analysis, 22 metabolites, 461 targets, and 166 differentially expressed genes. The dataset was authored by Yuxia Tao and last updated on 2026-05-04.

Use Cases

• Validate candidate biomarkers (STAT3, SLC5A1) for septic cardiomyopathy based on the identified gut microbiota associations.
• Investigate the role of specific metabolites (e.g., propylene glycol, folic acid) in the gut-heart axis using the provided target lists.
• Perform immune cell infiltration analysis based on the described involvement of MDSCs and activated dendritic cells.
• Explore regulatory networks using the identified transcription factors (e.g., FOXC1) and microRNAs (e.g., miR-3120-3p).
• Replicate Mendelian randomization analysis to assess causal links between gut microbiota and sepsis complications.

Strengths

• Identifies 2 specific candidate biomarkers (STAT3 and SLC5A1) with validation from clinical samples.
• Integrates multiple analysis layers: Mendelian randomization, transcriptomics, metabolite profiling, and molecular docking.
• Clinical validation includes measurements of IL-6, cTnI, and propylene glycol levels in patient samples.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset is small (40.2 KB), suggesting it contains summary or supplementary results rather than raw experimental data.
• Geographic and demographic coverage of the underlying GWAS and clinical samples is not specified.

Provenance

Source

figshare, authored by Yuxia Tao.

Collection Method

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

Freshness

Last updated 2026-05-04 09:32:40.