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KMID : 0613820230330090730
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Journal of Life Science
2023 Volume.33 No. 9 p.730 ~ p.735
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Slowing of the Epigenetic Clock in Schizophrenia
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Jeong Yeon-Oh
Kim Jin-Young
Karthikeyan A Vijayakumar
Cho Gwang-Won
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Abstract
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In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.
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KEYWORD
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Age acceleration, CpG sites, DNA methylation, epigenetic clock, schizophrenia
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