Data Sheet 1_A systematic exploration of gut microbiota–driven blood metabolites in sepsis

A 2026 study by Yanhuo Zhang identifies 23 gut microbiota taxa and 169 blood metabolites associated with sepsis. The dataset, shared on figshare, results from a two-sample Mendelian randomization analysis combined with bioinformatics and murine model experiments. It highlights 15 metabolites that mediate causal relationships between 12 GM taxa and sepsis.

Use Cases

• Identify potential metabolic mediators in sepsis based on the 169 associated blood metabolites
• Explore causal relationships between gut microbiota and disease using the two-step Mendelian randomization framework
• Prioritize therapeutic targets based on the network analysis of 131 predicted molecular targets
• Validate findings from genetic association studies with in vivo experimental results from murine models

Strengths

• Identifies specific quantities: 23 GM taxa and 169 blood metabolites significantly associated with sepsis
• Provides mediation proportions ranging from 3.70% to 13.70% for 15 key metabolites
• Integrates multiple analysis methods: Mendelian randomization, bioinformatics, network analysis, and pharmacodynamic experiments

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is contained in a 1.0 MB DOCX file, which may require extraction and formatting for analysis

Provenance

Source

Yanhuo Zhang via figshare

Collection Method

Two-sample Mendelian randomization analysis combined with bioinformatics and murine model experiments

Freshness

Last updated 2026-03-18 07:35:37