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The second-generation antipsychotic clozapine is used as a medication for treatment-resistant schizophrenia. It has previously been associated with epigenetic changes in pre-clinical rodent models and cross-sectional studies of treatment-resistant schizophrenia. Cross-sectional studies are susceptible to confounding, however, and cannot disentangle the effects of diagnosis and medication. We therefore profiled DNA methylation in sequential blood samples (n = 126) from two independent cohorts of patients (n = 38) with treatment-resistant schizophrenia spectrum disorders who commenced clozapine after study enrolment and were followed up for up to six months. We identified significant non-linear changes in cell-type proportion estimates derived from DNA methylation data - specifically B-cells - associated with time on clozapine. Mixed effects regression models were used to identify changes in DNA methylation at specific sites associated with time on clozapine, identifying 37 differentially methylated positions (DMPs) (p < 5 × 10) in a linear model and 90 DMPs in a non-linear quadratic model. We compared these results to data from our previous epigenome-wide association study (EWAS) meta-analysis of psychosis, finding evidence that many previously identified DMPs associated with schizophrenia and treatment-resistant schizophrenia might reflect exposure to clozapine. In conclusion, our results indicate that clozapine exposure is associated with changes in DNA methylation and cellular composition. Our study shows that medication effects might confound many case-control studies of neuropsychiatric disorders performed in blood.
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http://dx.doi.org/10.1038/s41398-024-03102-8 | DOI Listing |
Epigenomics
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.
View Article and Find Full Text PDFTree Physiol
September 2025
Pollen Biotechnology of Crop Plants Group, Margarita Salas Center of Biological Research, CIB-CSIC, Ramiro de Maeztu 9, 28040, Madrid, Spain.
Somatic embryogenesis (SE) is an in vitro mass propagation system widely employed in plant breeding programs. However, its efficiency in many forest species remains limited due to their recalcitrance. SE relies on the induction of somatic cell reprogramming into embryogenic pathways, a process influenced by transcriptomic changes regulated, among other factors, by epigenetic modifications such as DNA methylation, histone methylation, and histone acetylation.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Microbiology, University College Cork, Cork, T12 Y337, Ireland.
The genomes of 43 distinct lactococcal strains were reconstructed by a combination of long- and short-read sequencing, resolving the plasmid complement and methylome of these strains. The genomes comprised 43 chromosomes of approximately 2.5 Mb each and 269 plasmids ranging from 2 to 211 kb (at an average occurrence of 6 per strain).
View Article and Find Full Text PDFJ Investig Med
September 2025
Unidad de Investigación Biomédica, Delegación Durango, Instituto Mexicano del Seguro Social, Durango, México.
It has been reported that DNA methylation in the epigenetic profile of the genes LEP and ADIPOQ is associated with obesity. To the best of our knowledge, there are no previous reports assessing the methylation of the LEP, LEPR, and ADIPOQ genes in subjects with metabolically healthy obesity (MHO). Therefore, the aim of this study was to determine the association between methylation of the LEP, LEPR, and ADIPOQ genes with the MHO phenotype.
View Article and Find Full Text PDFBioimpacts
August 2025
Department of Pharmacognosy, Faculty of Pharmacy, Gazi University, Ankara 06330, Türkiye.
Colorectal cancer (CRC) constitutes a significant global health challenge, accounting for a considerable proportion of cancer cases and associated mortality. Projections indicate a potential increase in new cases by 2040, attributed to demographic factors such as aging and population growth. Although advancements in the understanding of CRC pathophysiology have broadened treatment options, challenges such as drug resistance and adverse effects persist, highlighting the necessity for enhanced diagnostic methodologies.
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