遗传证据支持脑区容量和功能网络改变在重度抑郁症中的作用。

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ming-Min Xu, Nan Li, Yi-Wen Lv, Wen-Miao Yang, Zhi-Yun Yu, Yi-Min Zhang, Yu Guo, Xiao-Yin Chen
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引用次数: 0

摘要

尽管有新的证据表明,重度抑郁症患者的脑区域容量和功能网络发生了改变,但其因果关系仍未得到探索。本研究利用与人类大脑形态(n = 36778)和功能网络(n = 47276)相关的遗传变异,采用双向双样本和多变量孟德尔随机化(MR)方法,系统地研究了83个脑容量、191个静息状态功能磁共振成像表型与MD之间的因果关系,以确定与MD发病相关的核心脑区域容量和功能网络。与其他严重精神疾病不同,左、右腹间脑和丘脑体积的减少,以及楔前叶、楔前叶或扣带回与三重网络(默认模式网络、中央执行网络和显著性网络)额叶区域之间功能连接的减少,是MD发病的唯一预测因素。利用鉴定的标记物作为两步MR的介质,建议戒烟、适度增加饮酒频率而不发展为酒精使用障碍、从事休闲散步和参加运动(如游泳、骑自行车、健身、保龄球)以积极影响影像学表型并降低MD风险。这些发现增强了对脑成像预测结果的理解,并支持通过行为改变积极预防严重精神健康障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetic Evidence Supporting a Role for Brain Region Volume and Functional Network Alterations in Major Depression

Genetic Evidence Supporting a Role for Brain Region Volume and Functional Network Alterations in Major Depression

Despite emerging evidence of altered brain region volumes and functional networks in major depression (MD), causal relationships remain unexplored. Here, using genetic variants related to human brain morphometry (n = 36778) and functional networks (n = 47276), bidirectional two-sample and multivariable Mendelian randomization (MR) is performed to systematically investigate causal relationships between 83 brain-wide volumes, 191 resting-state functional magnetic resonance imaging phenotypes, and MD to identify core brain region volumes and functional networks associated with MD onset. Unlike other severe psychiatric disorders, reductions in left and right ventral diencephalon and thalamus volumes, together with decreased functional connectivity between the precuneus, cuneus, or cingulate gyri and frontal regions within the triple network (default mode network, central executive network, and salience network) uniquely predict MD onset. Using the identified markers as mediators in two-step MR recommends quitting smoking, moderately increasing alcohol frequency without developing alcohol use disorder, engaging in walking for leisure, and participating in exercises (e.g., swimming, cycling, keep fit, bowling) to positively influence imaging phenotypes and reduce MD risk. These findings enhance the understanding of predictive outcomes in brain imaging and support proactive prevention of severe mental health disorders through behavioral modifications.

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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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