ArticleClinical epigenetics2022
Circulating cell-free DNA methylation mirrors alterations in cerebral patterns in epilepsy.
Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Review
- Establishment and Performance Evaluation of a Multiplexed TET2-APOBEC-Mediated cfDNA Methylation Detection Workflow Using qPCR and dPCR Readouts.Journal of personalized medicine · 2026Article
- Methylated PIH1D1 as a Heart-Specific Biomarker for Anthracycline-Induced Cardiac Remodeling in Breast Cancer Patients.JACC. Basic to translational science · 2026Article
- Follow-up Analysis Enhances Understanding of Molecular Residual Disease in Localized Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Liquid Biopsy in Neuropsychiatric Disorders: A Step Closer to Precision Medicine.Molecular neurobiology · 2025Review
- High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes.JCI insight · 2025Article
- Cell-free DNA methylation patterns in aging and their association with inflamm-aging.Epigenomics · 2024Article
- The epigenetic modification of DNA methylation in neurological diseases.Frontiers in immunology · 2024Review
- Alzheimer's Precision Neurology: Epigenetics of Cytochrome P450 Genes in Circulating Cell-Free DNA for Disease Prediction and Mechanism.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA methylation profiling of circulating cell-free DNA (cfDNA) has rapidly become a promising strategy for biomarker identification and development. The cell-type-specific nature of DNA methylation patterns and the direct relationship between cfDNA and apoptosis can potentially be used non-invasively to predict local alterations. In addition, direct detection of altered DNA methylation patterns performs well as a biomarker. In a previous study, we demonstrated marked DNA methylation alterations in brain tissue from patients with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS).
resultsWe performed DNA methylation profiling in cfDNA isolated from the serum of MTLE patients and healthy controls using BeadChip arrays followed by systematic bioinformatic analysis including deconvolution analysis and integration with DNase accessibility data sets. Differential cfDNA methylation analysis showed an overrepresentation of gene ontology terms and transcription factors related to central nervous system function and regulation. Deconvolution analysis of the DNA methylation data sets ruled out the possibility that the observed differences were due to changes in the proportional contribution of cortical neurons in cfDNA. Moreover, we found no overrepresentation of neuron- or glia-specific patterns in the described cfDNA methylation patterns. However, the MTLE-HS cfDNA methylation patterns featured a significant overrepresentation of the epileptic DNA methylation alterations previously observed in the hippocampus.
conclusionsOur results support the use of cfDNA methylation profiling as a rational approach to seeking non-invasive and reproducible epilepsy biomarkers.
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