Pediatric Allergic Rhinitis and Constipation: Gut Microbiome and Metabolite Profiles

Hui Wu's dataset contains shotgun metagenomic sequencing and amino acid-targeted metabolomics data from fecal samples of 19 children with comorbid allergic rhinitis and functional constipation (ARFC) and 16 healthy controls. The data was last updated on 2026-05-26. It includes microbial community structure, differentially abundant taxa, metabolic profiles, and integrative analyses linking microbiota and metabolites to clinical allergy markers like serum IgE.

Use Cases

• Training machine learning models for disease classification based on integrated microbial and metabolic features.
• Investigating correlations between specific microbial genera (e.g., Bacteroides) and immunomodulatory metabolites (e.g., kynurenine).
• Analyzing pathway enrichment (e.g., mTOR and FoxO signaling) in gut dysbiosis associated with pediatric allergy and constipation.
• Studying the relationship between gut species (e.g., Bacteroides thetaiotaomicron) and host immune markers like serum IgE.

Strengths

• Integrates two omics layers: shotgun metagenomic sequencing and amino acid-targeted metabolomics from the same cohort.
• Includes results from a machine learning model evaluated with leave-one-out cross-validation, reporting an AUC of 0.946.
• Identifies 50 differentially abundant metabolites between patient and control groups.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 25.0 KB, suggesting it may contain summary results or a document rather than raw sequence files.
• Row count and column-level documentation are unknown, limiting assessment of data structure and granularity.
• The cohort size is limited to 35 total participants (19 cases, 16 controls), which may affect statistical power and generalizability.

Provenance

Source

Hui Wu via figshare.

Collection Method

Shotgun metagenomic sequencing and amino acid-targeted metabolomics performed on fecal samples from a clinical cohort.

Freshness

Last updated 2026-05-26 08:16:48.