Shengxian Decoction: Gut Microbiota and Metabolite Profiles in Heart Failure Rats

147 components were identified in Shengxian Decoction (SXT) using LC–MS. This dataset contains results from a rat model study, including 16S rRNA sequencing data identifying 17 differentially abundant bacterial genera and UPLC–MS metabolomics identifying 27 differential metabolites. The data was uploaded by Hong-jing Li to figshare under a CC-BY-4.0 license and last updated in May 2026.

Use Cases

• Identify correlations between specific gut bacterial genera and metabolite levels based on the reported Spearman correlation analysis.
• Analyze shifts in microbial communities and short-chain fatty acid-producing genera in a chronic heart failure model.
• Investigate host-microbe co-metabolic pathways, such as primary bile acid biosynthesis, highlighted in the metabolite tracing analysis.
• Model the relationship between Traditional Chinese Medicine treatment and changes in inflammatory markers like NT-proBNP, LPS, TNF-α, and IL-6.

Strengths

• Includes multi-modal data from 16S rRNA sequencing and UPLC–MS metabolomics, as described in the methods.
• Identifies specific quantities: 147 SXT components, 17 differential bacterial genera, and 27 differential metabolites.
• Links microbial changes to host physiology through cardiac function assessments and histopathology.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data is from a specific rat model (TAC-induced CHF), which may limit direct translation to human studies.
• The dataset is small (241.3 KB), suggesting limited scope or aggregated summary results rather than raw sequencing reads.

Provenance

Source

figshare, uploaded by Hong-jing Li.

Collection Method

Data generated from a laboratory study using transverse aortic constriction (TAC) surgery in rats, followed by echocardiography, histopathology, 16S rRNA sequencing, and metabolomic analysis.

Freshness

Last updated 2026-05-20 16:01:22; freshness should be verified.