Gut Microbiota and Metabolomic Profiles for Myasthenia Gravis Patients and Controls

29 myasthenia gravis patients and 10 healthy controls show a distinct profile of gut dysbiosis and metabolic disturbances. The dataset includes results from 16S rRNA sequencing and untargeted metabolomics, identifying 232 discriminative microbial taxa and 567 altered metabolites. Authored by Yunan Shan and last updated in April 2026, this research aims to provide novel insights for auxiliary diagnosis and microbiota-targeted interventions.

Use Cases

• Training diagnostic models based on the identified 567 altered metabolites and 232 discriminative microbial taxa.
• Analyzing correlations between specific microbial abundances (e.g., Ruminococcus) and metabolite levels (e.g., butanoic acid) as described.
• Investigating pathway implications (e.g., cholinergic synapse, bile secretion) through KEGG analysis results mentioned in the description.
• Evaluating biomarker performance using the described Random Forest model which achieved an AUC of 1.0.

Strengths

• Includes data from 39 total subjects (29 patients, 10 controls), providing a basis for comparative analysis.
• Integrates two high-throughput biological assays: 16S rRNA sequencing and UHPLC-Q-TOF MS metabolomics.
• Analysis identified a specific set of 232 discriminative microbial taxa and 567 altered metabolites with statistical thresholds (VIP > 1.0, P < 0.05, FDR q < 0.05).
• The metabolite-based Random Forest model demonstrated high diagnostic performance with an AUC of 1.0.

Limitations

• The dataset is very small at 11.6 KB, suggesting it may contain summary results or a document rather than raw sequencing and metabolomics data.
• Row count and column-level documentation are unknown, which limits suitability assessment for direct computational reuse.
• The sample size of 39 individuals is limited, which may affect the generalizability of the findings.

Provenance

Source

figshare, author Yunan Shan.

Collection Method

Fecal samples analyzed via 16S rRNA sequencing and UHPLC-Q-TOF MS metabolomics.

Freshness

Last updated 2026-04-23 05:35:51.