ArticleClinical epigenetics2025
Identification of diagnostic DNA methylation markers in the blood of Japanese Alzheimer's disease patients using methylation capture sequencing.
Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Diagnostic and Prognostic Value of Epigenetic Markers in Neurological Diseases. A Narrative Review.Cellular and molecular neurobiology · 2026Review
- Micro- and Nanoplastics and Functional Nutrients in Human Health: Epigenetic Mechanisms and Cellular Resilience Signaling in Brain Insulin Resistance and the Risk of Alzheimer's Disease.International journal of molecular sciences · 2025Review
- Association of blood-based DNA methylation of lncRNAs with Alzheimer's disease diagnosis.Clinical epigenetics · 2025Article
- Exploring novel blood-based DNA methylation biomarkers for alzheimer's disease via targeted sequencing of highly variable CpG sites.BMC research notes · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundMethylation capture sequencing (MC-seq), which relies on next-generation sequencing technology, offers advantages over the widely used array-based approach that Illumina Inc. developed regarding both resolution and comprehensiveness for detecting DNA methylation changes across genomes. In the present study, MC-seq was employed for the first time to identify DNA methylation markers for Alzheimer's disease (AD).
resultsWe compared DNA methylation in the blood of 12 AD patients with brain amyloidosis and 12 cognitively normal elderly Japanese individuals without brain amyloidosis. Candidate methylation differences were validated in the two cohorts using bisulfite amplicon sequencing. Significant differentially methylated regions were identified in the ANKH, MARS, ANKFY1, LINC00908, and KLF2 genes and a slight methylation change in CHRNE (p = 0.061). Furthermore, our AD diagnostic prediction model showed that combining the methylation levels of ANKH and MARS with the APOE genotype provided diagnostic accuracy, achieving AUCs of 0.90 and 0.81 in the discovery and validation datasets, respectively.
conclusionsThe present results suggest the potential of combining these markers for diagnosing AD and support the validity of our approach for identifying disease-related DNA methylation markers using next-generation sequencing.
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