Proteomic Biomarker Discovery in Cerebrospinal Fluid for MS and NMO

Proteomic analysis of cerebrospinal fluid from patients with multiple sclerosis and neuromyelitis optica. The dataset contains 3,816 proteins identified using conventional proteomics and a nanoparticle-based enrichment strategy. It was authored by Mengyang Ding and last updated on April 30, 2026.

Use Cases

• Train classifiers to differentiate MS from NMO based on proteomic signatures.
• Validate the biomarker potential of CD74 and CD14 using the provided ELISA and ROC analysis results.
• Investigate shared and distinct molecular pathways like neuronal adhesion and immune responses.
• Explore disease-specific features such as glycosylation alterations in MS or hemostasis pathways in NMO.

Strengths

• Deep proteome coverage of 3,816 proteins from cerebrospinal fluid.
• Includes validation results from an independent cohort with AUC scores (0.75 for CD74, 0.72 for CD14).
• Uses a low-abundance protein enrichment strategy to uncover additional biological processes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal or cohort bias inherent to the original study.

Provenance

Source

figshare

Collection Method

Comprehensive proteomic analysis of patient cerebrospinal fluid samples.

Time Range

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Freshness

Last updated 2026-04-30 14:34:36; freshness should be verified.

Geography

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