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5-mC DNA methylation is a fundamental epigenetic modification that plays a crucial role in neurodevelopment and neurological disorders. This review synthesizes the current understanding of 5-mC DNA methylation in neural system development and its implications in neurodevelopmental disorders. During normal neural development, 5-mC methylation precisely regulates neural stem cell differentiation and neuronal maturation through DNA methyltransferases (DNMTs) and methyl-CpG-binding domain (MBD) proteins. Disruption of these methylation patterns contributes to various neurodevelopmental disorders. In autism spectrum disorder (ASD), altered methylation patterns in specific genes like SHANK family and genome-wide methylation changes have been identified as potential diagnostic biomarkers. In fragile X syndrome, CGG trinucleotide repeat expansion increases methylation of the FMR1 gene promoter, leading to FMRP protein deficiency. Rett syndrome, primarily caused by MECP2 mutations, involves disrupted methylation-dependent transcriptional regulation. In epilepsy, DNA methylation abnormalities affect multiple epilepsy-related genes and may influence treatment responses to ketogenic diets. Despite these advances, the field faces significant challenges including tissue specificity issues, technical limitations in methylation detection, and therapeutic targeting difficulties. This review also discusses future perspectives, emphasizing the potential of DNA methylation as a therapeutic target and biomarker for neurodevelopmental disorders. Understanding these methylation mechanisms could lead to novel diagnostic tools and therapeutic strategies for various neurological conditions.
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http://dx.doi.org/10.1007/s11033-025-10809-4 | DOI Listing |
Clin Epigenetics
September 2025
Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.
Background: Work-related stress is a well-established contributor to mental health decline, particularly in the context of burnout, a state of prolonged exhaustion. Epigenetic clocks, which estimate biological age based on DNA methylation (DNAm) patterns, have been proposed as potential biomarkers of chronic stress and its impact on biological aging and health. However, their role in mediating the relationship between work-related stress, physiological stress markers, and burnout remains unclear.
View Article and Find Full Text PDFImmunol Cell Biol
September 2025
Department of Biotechnology, Indian Institute of Technology Hyderabad (IITH), Sangareddy, Telangana, India.
The immune system uses a variety of DNA sensors, including endo-lysosomal Toll-like receptors 9 (TLR9) and cytosolic DNA sensor cyclic GMP-AMP (cGAMP) synthase (cGAS). These sensors activate immune responses by inducing the production of a variety of cytokines, including type I interferons (IFN). Activation of cGAS requires DNA-cGAS interaction.
View Article and Find Full Text PDFBiochem Pharmacol
September 2025
Department of Biosciences, JIS University, 81, Nilgunj Road, Agarpara, Kolkata, West Bengal 700109, India. Electronic address:
The malignant manifestation of breast cancer is driven by complex molecular alterations that extend beyond genetic mutations to include epigenetic dysregulation. Among these, DNA methylation is a critical and reversible epigenetic modification that significantly influences breast cancer initiation, progression, and therapeutic resistance. This process, mediated by DNA methyltransferases (DNMTs), involves the addition of methyl groups to cytosine residues within CpG dinucleotides, resulting in transcriptional repression of genes.
View Article and Find Full Text PDFMol Hum Reprod
September 2025
Department of Obstetrics and Gynecology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Infertility impacts up to 17.5% of reproductive-aged couples worldwide. To aid in conception, many couples turn to assisted reproductive technology, such as IVF.
View Article and Find Full Text PDFEpigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
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