Serum and CSF Neuroinflammatory Biomarkers for White Matter Lesion Severity in 42 Patients

42 patients with radiologically confirmed white matter lesions (WML) were stratified into four severity groups based on Fazekas scores. Paired serum and cerebrospinal fluid samples were analyzed for six biomarkers, including IL-1β, TNF-α, and TMAO, to investigate associations with WML severity. The dataset, authored by Xinxin Cheng and last updated in May 2026, presents results from a cross-sectional clinical study with statistical analyses including multivariable regression.

Use Cases

• Identify candidate biomarkers for white matter lesion severity based on paired serum and CSF measurements.
• Model associations between gut-derived metabolites like TMAO and neuroinflammatory profiles.
• Analyze blood-brain barrier dynamics using inverse concentration patterns of biomarkers like MMP-2.
• Replicate statistical analyses, such as ordinal logistic regression adjusting for age, sex, and comorbidities.

Strengths

• Includes paired measurements from two biological compartments (serum and CSF) for six biomarkers.
• Clinical data from 42 patients with detailed severity stratification using the Fazekas scoring system.
• Statistical results are reported with effect sizes, confidence intervals, and correction for multiple comparisons.

Limitations

• Cross-sectional design with a limited sample size of 42 patients, as noted in the description.
• Row count and column-level documentation are unknown, requiring inspection after download.
• The dataset is small in scale at 672.0 KB, which may limit the complexity of analyses.

Provenance

Source

figshare, author Xinxin Cheng

Collection Method

Clinical study using ELISA to quantify biomarkers in paired serum and CSF samples from patients with radiologically confirmed WML.

Freshness

Last updated 2026-05-08 05:56:57