Bile Acid Metabolomics for Diagnosing AQP4-IgG–Seronegative NMOSD

Zixin Chen's dataset contains serum bile acid metabolomic profiles from a cross-sectional study of 112 NMOSD patients, 50 MS patients, and 66 healthy controls. The data includes 15 quantified bile acids and 71 derived metabolic indices, used to build diagnostic models. The dataset was last updated on 2026-05-04.

Use Cases

• Building diagnostic models to differentiate NMOSD from MS based on bile acid signatures.
• Investigating metabolic differences between AQP4-IgG seropositive and seronegative NMOSD subtypes.
• Analyzing correlations between bile acid profiles and neurological disability scores (EDSS).
• Validating the discriminatory potential of deoxycholic acid (DCA) for seronegative NMOSD diagnosis.

Strengths

• Includes data from 228 participants (112 NMOSD, 50 MS, 66 healthy controls).
• Features 15 quantified bile acids and 71 derived metabolic indices.
• Diagnostic models were evaluated with an internal multi-level validation framework.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The cross-sectional design means findings are disease-associated signatures, not causal mechanisms.

Provenance

Source

figshare, author Zixin Chen.

Collection Method

Targeted liquid chromatography–mass spectrometry on serum samples from enrolled patients and controls.

Time Range

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Freshness

Last updated 2026-05-04 04:16:49; freshness should be verified.

Geography

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