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Epigenetics and Depression: An Update

机译:表观遗传学和抑郁:更新

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Objective Depression is associated with various environmental risk factors such as stress, childhood maltreatment experiences, and stressful life events. Current approaches to assess the pathophysiology of depression, such as epigenetics and gene-environment (GxE) interactions, have been widely leveraged to determine plausible markers, genes, and variants for the risk of developing depression. Methods We focus on the most recent developments for genomic research in epigenetics and GxE interactions. Results In this review, we first survey a variety of association studies regarding depression with consideration of GxE interactions. We then illustrate evidence of epigenetic mechanisms such as DNA methylation, microRNAs, and histone modifications to influence depression in terms of animal models and human studies. Finally, we highlight their limitations and future directions. Conclusion In light of emerging technologies in artificial intelligence and machine learning, future research in epigenetics and GxE interactions promises to achieve novel innovations that may lead to disease prevention and future potential therapeutic treatments for depression.
机译:客观上抑郁与各种环境风险因素有关,例如压力,儿童时期的虐待经历和压力性生活事件。当前评估抑郁症病理生理的方法(例如表观遗传学和基因环境(GxE)相互作用)已广泛用于确定可能发生抑郁症的合理标志物,基因和变异体。方法我们专注于表观遗传学和GxE相互作用的基因组研究的最新进展。结果在这篇综述中,我们首先考虑GxE相互作用对抑郁症的各种关联研究进行了调查。然后,我们从动物模型和人类研究的角度说明了表观遗传机制的证据,例如DNA甲基化,微小RNA和组蛋白修饰以影响抑郁症。最后,我们强调了它们的局限性和未来发展方向。结论鉴于人工智能和机器学习的新兴技术,表观遗传学和GxE相互作用的未来研究有望实现新颖的创新,从而可能导致疾病预防和抑郁症的潜在治疗方法。

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