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June 3, 2026Journal of Clinical Investigation0 citationsOpen Access

Multimodal analysis of cell-free DNA identifies epigenetic biomarkers for amyotrophic lateral sclerosis diagnosis and progression

SMSebastian MichelsCCChaorong ChenWRWolfgang P. Ruf

Key Points

  • This research aims to identify epigenetic biomarkers in cell-free DNA that can diagnose and track the progression of ALS.
  • Analyzed cfDNA from 60 participants, including ALS patients and controls.
  • Used enzymatic methyl-sequencing to assess methylation changes across approximately 4 million CpG sites.
  • Performed ROC analysis to evaluate the diagnostic capacity of the identified epigenetic signatures.
  • Achieved an average AUC of 0.91 ± 0.10 for ALS detection, identifying about 70% of ALS patients with nearly 100% specificity.
  • Identified genes whose methylation levels correlated significantly with clinical disease progression.
  • Found correlations between methylation status and CSF neurofilament levels, indicating potential biomarkers for monitoring ALS.

Abstract

The role of the epigenome in age-related neurodegenerative disorders remains understudied. Here, we analyzed circulating cell-free DNA (cfDNA) from blood to detect methylation changes as a liquid biopsy for Amyotrophic Lateral Sclerosis (ALS). Our study included 20 patients with sporadic ALS, 10 patients with C9orf72-associated ALS, 10 asymptomatic carriers of the C9orf72 repeat expansion mutation, and 21 nondisease control individuals. Following targeted enzymatic methyl-sequencing (EM-seq) of approximately 4 million CpG sites, we detected numerous differentially methylated genes, including several implicated in ALS disease risk and pathogenesis. By integrating multiple epigenetic features, we delineated a distinct epigenetic signature, which achieved an average area under the curve (AUC) of 0.91 ± 0.10 upon receiver operator characteristic (ROC) analysis, which enabled detection of approximately 70% of patients with ALS with close to 100% specificity. Furthermore, we also identified a set of genes whose methylation status significantly correlated with clinical disease progression and cerebrospinal fluid (CSF) neurofilament levels. Our results reveal the potential of cfDNA-based biomarkers to accurately diagnose ALS and potentially predict disease progression.

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Cite This Study

Michels et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc394dee9eb8c0dce5130https://doi.org/10.1172/jci191508
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