Gut Microbiota and Metabolites in Children with Kawasaki Disease from Northwest China

31 children with Kawasaki disease (KD) and matched healthy controls had their fecal and blood samples analyzed via shotgun metagenomic sequencing and untargeted metabolomics. The dataset, created by Liangtao Zhao and last updated in May 2026, shows significant differences in microbial species and metabolic pathways between the groups. It provides a foundational resource for understanding the gut microbiome and metabolome in KD.

Use Cases

• Identify microbial biomarkers for Kawasaki disease based on differential abundance of species like Enterococcus avium and Faecalibacterium prausnitzii.
• Investigate altered metabolic pathways in Kawasaki disease based on the 49 differentially enriched pathways mentioned in the description.
• Correlate specific fecal and plasma metabolites, such as indole or butyrate, with disease state and clinical outcomes.
• Compare multi-omics profiles between pediatric patient cohorts from specific geographic regions, such as Northwest China.

Strengths

• Includes multi-omics data from 31 KD patients and matched controls, enabling paired analysis.
• Analyzes both fecal and blood samples, providing systemic and gut-specific perspectives.
• Uses shotgun metagenomic sequencing and untargeted metabolomics, offering detailed taxonomic and functional profiles.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size of 31 patients per group may limit statistical power for rare findings.

Provenance

Source

Liangtao Zhao

Collection Method

Shotgun metagenomic sequencing and untargeted metabolomic analysis of fecal and blood samples.

Freshness

Last updated 2026-05-11 04:26:09; freshness should be verified.

Geography

Northwest China