BFJPM: Murine Food Allergy Model Data with Gut Microbiota Sequencing

60 female BALB/c mice were used to evaluate the therapeutic efficacy of BufeiJianpi Mixture (BFJPM) on OVA-induced food allergy. Results include allergy symptom scores, serum total IgE levels, intestinal mucosal V/C ratios, and 16S rRNA sequencing data of gut microbiota. The dataset, authored by Xue Yang and last updated in 2026, integrates animal experiments with network pharmacology predictions.

Use Cases

• Analyze correlations between gut microbiota composition and serum IgE levels based on 16S rRNA sequencing data.
• Evaluate the therapeutic effects of herbal mixtures on allergy symptoms based on symptom scores and mucosal integrity (V/C ratio) metrics.
• Predict microbial functional profiles related to food allergy using PICRUSt2-inferred pathways mentioned in the description.
• Identify key host targets and pathways for herbal intervention using integrated network pharmacology and microbial data.

Strengths

• Includes data from 60 mice across six experimental groups, providing a basis for comparative analysis.
• Integrates multiple data types: physiological measurements (IgE, V/C ratio), microbial sequencing (16S rRNA), and computational predictions (PICRUSt2, network pharmacology).
• Specific microbial taxa, such as Saccharopolyspora and Candidatus Arthromitus, are identified as differentially abundant.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale ML tasks.
• The dataset is small in scale (557.3 KB), indicating limited data volume.

Provenance

Source

figshare, author Xue Yang.

Collection Method

Data generated from controlled animal experiments, 16S rRNA gene sequencing, and computational analysis (PICRUSt2, network pharmacology).

Freshness

Last updated 2026-05-27 20:01:57; freshness should be verified.