Kanwei Xiao, Xinle Chang, Chenfei Ye, Zhiguo Zhang, Ting Ma, Jingyong Su
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摘要

越来越多的证据表明,大脑结构连接组异常与精神疾病有关,但其中的因果关系仍未得到充分探讨。我们进行了双向双样本孟德尔随机化(MR)分析,研究了206种白色物质连接表型(n = 26,333,英国生物库)与13种主要精神疾病(n = 14,307至1,222,882)之间的因果关系。前向磁共振分析确定了基因预测的五种白色物质结构连通性表型对六种精神疾病的因果效应,相关性显著或具有暗示性。例如,左半球额顶控制网络和右半球默认模式网络之间的结构连通性与自闭症谱系障碍风险呈显著负相关,而右半球额顶控制网络和海马体之间结构连通性的增加与神经性厌食症和大麻使用障碍风险的降低呈显著相关。反向磁共振分析显示,两种精神疾病的风险与四种不同的白质结构连接表型之间存在明显或提示性的因果关系。例如,研究发现神经性厌食症的易感性与左半球视觉网络和苍白球之间的结构连通性呈显著负相关。这些发现为精神疾病的病因学提供了新的见解,并强调了在大脑结构连接组水平进行早期检测和预防的潜在生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mendelian randomization analyses uncover causal relationships between brain structural connectome and risk of psychiatric disorders.

Growing evidence suggests abnormalities of brain structural connectome in psychiatric disorders, but the causal relationships remain underexplored. We conducted bidirectional two-sample Mendelian randomization (MR) analyses to investigate the causal links between 206 white-matter connectivity phenotypes (n = 26,333, UK Biobank) and 13 major psychiatric disorders (n = 14,307 to 1,222,882). Forward MR analyses identified causal effects of genetically predicted five white-matter structural connectivity phenotypes on six psychiatric disorders, with associations being significant or suggestive. For instance, structural connectivity between the left-hemisphere frontoparietal control network and right-hemisphere default mode network was significantly negatively associated with autism spectrum disorder risk, while increased structural connectivity between the right-hemisphere frontoparietal control network and hippocampus was significantly linked to decreased anorexia nervosa and cannabis use disorder risk. Reverse MR analyses revealed significantly or suggestively causal relationships between the risk of two psychiatric disorders and four different white-matter structural connectivity phenotypes. For example, the susceptibility of anorexia nervosa was found to be significantly negatively associated with structural connectivity between the left-hemisphere visual network and pallidum. These findings offer new insights into the etiology of psychiatric disorders and highlight potential biomarkers for early detection and prevention at the brain structural connectome level.

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