Gut Microbiota and Clinical Data from Pediatric Henoch-Schönlein Purpura Treatment Study

Clinical and gut microbiota data from a study of 142 children, including 103 patients with Henoch–Schönlein purpura and 39 healthy controls. The dataset includes 78 stool samples sequenced via Illumina NovaSeq 6000 and analyzed for alpha/beta diversity, differential abundance, and functional prediction. It was published by Kefei Xu on figshare in May 2026 under a CC-BY-4.0 license.

Use Cases

• Compare gut microbiota diversity metrics (e.g., Shannon index) between patient groups and healthy controls.
• Train machine learning models (e.g., random forest) to identify discriminatory bacterial genera like Lachnoclostridium and Ruminococcus.
• Analyze treatment-related changes in microbial composition following integrated Chinese and Western medicine therapy.
• Investigate predicted functional pathway alterations (e.g., KEGG) such as polyketide sugar unit biosynthesis between treatment groups.

Strengths

• Includes data from 142 initially enrolled participants with detailed clinical grouping (integrated treatment, Western medicine, healthy controls).
• Microbiota analysis based on 78 stool samples sequenced in a single Illumina NovaSeq 6000 run to minimize batch effects.
• Multivariate statistical analyses (PERMANOVA) adjusted for age, sex, and baseline diversity to isolate treatment effects.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is stored as a 1.6 MB DOCX file, which may require extraction of structured data.

Provenance

Source

figshare, author Kefei Xu.

Collection Method

Clinical trial with fecal sample collection and 16S rRNA gene sequencing.

Freshness

Last updated 2026-05-14 05:23:44; freshness should be verified.