Search Results (3)

DNA methylation is an essential epigenetic modification that plays a crucial role in regulating gene expression and maintaining genomic stability. With the advancement in sequencing technology, methylation studies have provided valuable insights into the diagnosis of rare diseases through the various identification of episignatures, epivariation, epioutliers, and allele-specific methylation. However, current methylation studies are not without limitations. This mini-review explores the current understanding of DNA methylation in rare diseases, highlighting the key mechanisms and diagnostic potential, and emphasizing the need for advanced methodologies and integrative approaches to enhance the understanding of disease progression and design more personable treatment for patients, given the nature of rare diseases. Full article

Background/Objectives: HBV infections can lead to serious liver complications that can have fatal consequences. In 2022, around 1.1 million individuals died from HBV-related cirrhosis and hepatocellular carcinoma. Vaccines allow us to save more than 2.5 million lives each year; however, up to 10% of vaccinated individuals may not develop sufficient protective antibody levels. The aim of this study was to investigate the epigenetic drift in the response to HBV vaccine in isolated B cells. Methods: Epigenetic drift was measured by counting rare DNA methylation variants. These epivariants were detected in epigenome-wide data collected from isolated B cell samples from 41 responders and 30 non-responders (age range 22–62 years) to vaccination against HBV. Results: We found an accumulation of epivariants in the NR group, with a significant increase in hyper-methylated aberrations. We identified the chromosomes (1, 3, 11, 12, and 14) and genes (e.g., RUSC1_AS1 or TROVE2) particularly enriched in epivariants in NRs. The literature search and pathway analysis indicate that such genes are involved in the correct functioning of the immune system. Moreover, we observed a correlation between epigenetic drift and DNA methylation entropy in the male population of the cohort. Finally, we confirmed the correlation between epivariant loads and age-related epigenetic clocks. Conclusions: Our findings support the idea that an age-related derangement of the epigenetic architecture is involved in unresponsiveness to the HBV vaccine. Furthermore, the overall results highlight the interconnection between various epigenetic dynamics (such as drift, clocks, and entropy), although these interconnections seem not to be involved in the altered immunological activity. Full article

Background/Objectives: Major depressive disorder (MDD) is a mental health condition that can severely impact patients’ social lives, leading to withdrawal and difficulty in maintaining relationships. Environmental factors such as trauma and stress can worsen MDD by interacting with genetic predispositions. Epigenetics, which examines changes in gene expression influenced by the environment, may help identify patterns linked to depression. This study aimed to explore the epigenetic mechanisms behind MDD by analysing six public datasets (n = 1125 MDD cases, 398 controls in blood; n = 95 MDD cases, 96 controls in brain tissues) from the Gene Expression Omnibus. Methods: As an innovative approach, two meta-analyses of DNA methylation patterns were conducted alongside an investigation of stochastic epigenetic mutations (SEMs), epigenetic age acceleration, and rare epivariations. Results: While no significant global methylation differences were observed between MDD cases and controls, hypomethylation near the SHF gene (brain-specific probe cg25801113) was consistently found in MDD cases. SEMs revealed a gene-level burden in MDD, though epigenetic age acceleration was not central to the disorder. Additionally, 51 rare epivariations were identified in blood tissue and 1 in brain tissue linked to MDD. Conclusions: The study emphasises the potential role of rare epivariations in MDD’s epigenetic regulation but calls for further research with larger, more diverse cohorts to confirm these findings. Full article