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向精神病转变过程中的发育不成熟纵向表观遗传衰老

Dysmaturational Longitudinal Epigenetic Aging During Transition to Psychosis.

作者信息

Iftimovici Anton, Kebir Oussama, Jiao Chuan, He Qin, Krebs Marie-Odile, Chaumette Boris

机构信息

Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France.

NeuroSpin, Atomic Energy Commission, Gif-sur Yvette, France.

出版信息

Schizophr Bull Open. 2022 May 16;3(1):sgac030. doi: 10.1093/schizbullopen/sgac030. eCollection 2022 Jan.

Abstract

Psychosis frequently occurs during adolescence and young adulthood, possibly as a result of gene-environment interactions, mediated by epigenetic mechanisms such as DNA methylation. Methylation patterns can be leveraged to predict epigenetic age in order to identify anomalies in aging trajectories that may be associated with the emergence of psychosis. Thus, epigenetic age may provide a measurable surrogate of psychotic risk or psychosis' emergence, and shed light on the neurodevelopmental model of psychosis. In this study, we present the first longitudinal analysis of epigenetic age trajectory during conversion to psychosis in a population at ultra-high-risk, with available genome-wide methylation DNA at two time points, at baseline and after one year of follow-up ( = 38 × 2). After predicting epigenetic age, we computed epigenetic age gap as the cross-sectional difference between real age and predicted age, and (longitudinal) epigenetic age acceleration as the derivative of predicted age with respect to time. At baseline, future converters were 2.7 years younger than nonconverters and this difference disappeared at follow-up, when some converted to psychosis. This is because during conversion to psychosis, the epigenetic age of converters accelerated by 2.8 years/year compared to nonconverters. This acceleration was robust with a strictly positive 95% confidence interval, and held its significance after adjustment for age, sex, and cannabis intake. The methylation sites most associated with aging were on genes also linked with schizophrenia and neurodevelopmental disorders. This accelerated age trajectory, following a previous deceleration, may therefore reflect dysmaturational processes.

摘要

精神病常在青春期和青年期出现,这可能是基因与环境相互作用的结果,由DNA甲基化等表观遗传机制介导。甲基化模式可用于预测表观遗传年龄,以识别可能与精神病发生相关的衰老轨迹异常。因此,表观遗传年龄可能提供精神病风险或精神病发生的可测量替代指标,并有助于阐明精神病的神经发育模型。在本研究中,我们首次对超高危人群转化为精神病期间的表观遗传年龄轨迹进行了纵向分析,在基线和随访一年后有两个时间点的全基因组甲基化DNA数据(n = 38×2)。预测表观遗传年龄后,我们计算表观遗传年龄差距,即实际年龄与预测年龄之间的横断面差异,以及(纵向)表观遗传年龄加速,即预测年龄相对于时间的导数。在基线时,未来的转化者比未转化者年轻2.7岁,当一些人转化为精神病时,这种差异在随访时消失。这是因为在转化为精神病期间,转化者的表观遗传年龄比未转化者每年加速2.8岁。这种加速具有稳健性,95%置信区间严格为正,在调整年龄、性别和大麻摄入量后仍具有显著性。与衰老最相关的甲基化位点位于也与精神分裂症和神经发育障碍相关的基因上。因此,这种在先前减速之后的加速年龄轨迹可能反映了发育异常过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6877/11206049/7df5388d5831/sgac030_fig1.jpg

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