Multi-kingdom Gut Microbiome Profiles for Chronic Constipation

Figshare hosts a dataset from a study analyzing fecal samples from 53 chronic functional constipation patients and 48 healthy controls using whole-metagenome shotgun sequencing. It provides multi-kingdom metagenomic characterization of bacterial, fungal, and viral communities, evaluating composition, function, and cross-kingdom interactions. The data supports random forest modeling for disease classification based on bacterial and viral features.

Use Cases

• Train random forest models for CFC classification using bacterial and viral taxonomic features identified in the study.
• Analyze cross-kingdom microbial interaction networks, focusing on central hubs like Faecalibacterium prausnitzii.
• Compare functional pathway abundances, such as carbohydrate transport and stress-response modules, between patient and control groups.
• Investigate taxonomic shifts, including depletion of Firmicutes (e.g., Faecalibacterium) and enrichment of Proteobacteria (e.g., Klebsiella), associated with CFC.

Strengths

• Data covers 101 total samples (53 patients, 48 controls), providing a case-control cohort for analysis.
• Includes multi-kingdom analysis of bacteria, fungi, and viruses, enabling integrated ecological studies.
• Study employed whole-metagenome shotgun sequencing, which allows for functional and taxonomic profiling.

Limitations

• The dataset is small at 95.4 KB, indicating limited scope and likely summary-level results rather than raw sequence data.
• Sample size of 101 individuals may limit statistical power for detecting subtle microbial associations.
• Specific column names and row counts are not provided, complicating direct analysis of the underlying data structure.

Provenance

Source

Wen Sun via figshare.

Collection Method

Fecal samples analyzed using whole-metagenome shotgun sequencing; microbial composition, function, and interactions evaluated with diversity analyses, KEGG annotation, network analysis, and random forest modeling.

Freshness

Last updated March 2026.