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Circulating cell-free DNA methylation profiles as noninvasive multiple sclerosis biomarkers: A proof-of-concept study
Hailu Fu1,2, Kevin Huang3, Wen Zhu4
1Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
Medrxiv : the Preprint Server for Health Sciences
|March 4, 2025
Summary
Cell-free DNA methylation in plasma offers a novel, non-invasive biomarker for multiple sclerosis (MS) diagnosis, subtype classification, and predicting disease progression, outperforming current markers.
Area of Science:
- Epigenetics
- Neuroimmunology
- Biomarker Discovery
Background:
- Multiple sclerosis (MS) lacks non-invasive biomarkers for comprehensive disease assessment.
- Current methods struggle to simultaneously classify subtypes, evaluate disability, and predict progression.
Purpose of the Study:
- To investigate the clinical utility of plasma cell-free DNA (cfDNA) methylation profiling.
- To assess cfDNA methylation for distinguishing MS from controls, identifying subtypes, and predicting disability.
- To evaluate cfDNA methylation as a single, non-invasive diagnostic and prognostic assay.
Main Methods:
- Low-coverage whole-genome bisulfite sequencing (WGBS) of 75 plasma cfDNA samples.
- Identification and analysis of differentially methylated CpGs and regions (DMRs).
- Comparison of cfDNA methylation performance against neurofilament light chain (NfL) and GFAP.
Main Results:
- Thousands of DMRs significantly distinguished MS patients from controls and stratified MS subtypes and disability levels.
- DMRs were enriched in immune and neural regulatory elements, with motifs linked to neuronal function and T-cell differentiation.
- cfDNA methylation outperformed NfL and GFAP in distinguishing MS subtypes and severity (AUCs 0.67-0.82).
- Prognostic regions identified by cfDNA methylation predicted future disability with high accuracy (AUC=0.81).
Conclusions:
- Circulating cfDNA methylation profiles show significant potential as non-invasive biomarkers for MS.
- This approach may enable concurrent diagnosis, subtype classification, and prognosis in MS.
- Further validation with higher-depth sequencing and independent cohorts is warranted.

