Postoperative Gut Microbiome and IL-1β Data from Clinical and Mouse Studies

A 1.4 MB document details a study investigating postoperative gut dysbiosis in patients undergoing thoracoscopy and a corresponding mouse model. The research characterizes gut microbiome changes via 16S rRNA sequencing and Bugbase phenotype analysis, linking IL-1β levels to shifts in obligate and facultative anaerobe abundance. It was authored by Wanyu Wang and published under a CC BY 4.0 license.

Use Cases

• Analyze the correlation between postoperative IL-1β levels and the abundance of obligate anaerobes versus facultative anaerobes.
• Investigate the relationship between facultative anaerobe abundance and clinical outcomes like postoperative complication risk and hospital stay length.
• Examine the IL-1β–colonic epithelial oxygen metabolism–colonic oxygen environment–gut microbiota regulatory axis proposed in the mouse model.
• Study the shift in alpha diversity and oxygen phenotypes (obligate anaerobe to aerobe/facultative anaerobe) following thoracoscopy.

Strengths

• Data integrates findings from both a human clinical cohort and a controlled mouse model for mechanistic validation.
• Microbiome characterization includes 16S rRNA gene sequencing and Bugbase phenotype analysis for functional insights.
• The study links specific microbial phenotypes (obligate/facultative anaerobe abundance) to a molecular driver (IL-1β) and clinical outcomes.

Limitations

• The primary data is embedded within a 1.4 MB DOCX document, requiring extraction and likely not in an analysis-ready tabular format.
• Sample size for the clinical cohort and mouse model is not specified, limiting assessment of statistical power.
• The dataset is static, representing a single study's findings without longitudinal updates.

Provenance

Source

Figshare, authored by Wanyu Wang.

Collection Method

Clinical cohort study with perioperative sample collection and 16S rRNA sequencing, complemented by a controlled mouse model experiment.

Time Range

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Freshness

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Geography

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