Fecal Metabolomics Data from a Postbiotic Clinical Trial for Functional Bowel Disorders

A clinical trial dataset contains raw gas chromatography–mass spectrometry (GC–MS) data of fecal metabolites from a study on the efficacy of a heat-treated postbiotic Lacticaseibacillus rhamnosus. The data, provided by author 김, 동규 (Donggyu Kim), includes one .cdf file per sample linked to treatment group and time point via a metadata table. It was last updated on June 11, 2026.

Use Cases

• Reproduce metabolomic analysis based on the described GC-MS data and processing pipeline.
• Compare fecal metabolite profiles between postbiotic and placebo treatment groups.
• Re-annotate metabolite peaks using the described NIST Mass Spectral Library match.
• Conduct multivariate statistical analysis based on the total-sum normalized and auto-scaled relative peak areas.

Strengths

• Data is linked to a randomized, double-blind, placebo-controlled clinical trial, a gold-standard study design.
• Detailed instrumental and chromatographic parameters are described in an associated publication.
• Metabolite annotation was performed using established tools (AMDIS, MS-DIAL) and matched against the NIST Mass Spectral Library v2.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset size are unknown, which may limit suitability assessment.

Provenance

Source

donggyu kim Dataverse

Collection Method

Fecal samples were processed and analyzed via GC-MS as part of a clinical trial.

Freshness

Last updated 2026-06-11 02:34:11; freshness should be verified.