Proteomic Biomarker Discovery in Cerebrospinal Fluid for MS and NMO Differentiation

A proteomic analysis of cerebrospinal fluid from patients with multiple sclerosis and neuromyelitis optica. The dataset, created by Mengyang Ding and last updated in April 2026, contains protein profiles from a deep proteome coverage of 3,816 proteins. It identifies CD74 and CD14 as candidate biomarkers for differentiating the two diseases.

Use Cases

• Train classifiers to differentiate MS from NMO based on proteomic signatures.
• Validate biomarker candidates like CD74 and CD14 using independent cohorts.
• Analyze shared and distinct molecular pathways, such as neuronal adhesion or immune responses, in neurodegenerative diseases.
• Explore low-abundance protein enrichment strategies for biomarker discovery in biofluids.

Strengths

• Deep proteome coverage of 3,816 proteins from cerebrospinal fluid.
• Includes validation results from an independent cohort using ELISA, with reported AUC values of 0.75 for CD74 and 0.72 for CD14.
• Employs both conventional proteomics and a nanoparticle-based low-abundance protein enrichment strategy (LAPE).

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 small (1.6 MB), which may constrain the complexity of analyses.

Provenance

Source

figshare

Collection Method

Proteomic analysis of cerebrospinal fluid from MS and NMO patients.

Time Range

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Freshness

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

Geography

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