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孟德尔随机化分析揭示了脑结构连接组与精神疾病风险之间的因果关系。

Mendelian randomization analyses uncover causal relationships between brain structural connectome and risk of psychiatric disorders.

作者信息

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

机构信息

School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.

School of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.

出版信息

medRxiv. 2025 Feb 22:2025.02.20.25322606. doi: 10.1101/2025.02.20.25322606.

Abstract

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.

摘要

越来越多的证据表明精神疾病中脑结构连接组存在异常,但因果关系仍未得到充分探索。我们进行了双向两样本孟德尔随机化(MR)分析,以研究206种白质连接表型(n = 26,333,英国生物银行)与13种主要精神疾病(n = 14,307至1,222,882)之间的因果联系。正向MR分析确定了基因预测的五种白质结构连接表型对六种精神疾病的因果效应,关联具有显著性或提示性。例如,左半球额顶叶控制网络与右半球默认模式网络之间的结构连接与自闭症谱系障碍风险显著负相关,而右半球额顶叶控制网络与海马体之间结构连接的增加与神经性厌食症和大麻使用障碍风险降低显著相关。反向MR分析揭示了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显著或提示性的因果关系。例如,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接显著负相关。这些发现为精神疾病的病因提供了新的见解,并突出了在脑结构连接组水平上进行早期检测和预防的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fa8/11875323/d4e83572c63a/nihpp-2025.02.20.25322606v2-f0001.jpg

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