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Cerebral blood flow changes and their genetic mechanisms in major depressive disorder: a combined neuroimaging and transcriptome study

重性抑郁障碍 神经影像学 转录组 神经科学 脑血流 心理学 默认模式网络 基因 功能磁共振成像 生物 医学 遗传学 基因表达 内科学 认知
作者
Xuetian Sun,Weisheng Huang,Jie Wang,Ruoxuan Xu,Xiaohan Zhang,Jianhui Zhou,Jiajia Zhu,Yinfeng Qian
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:53 (14): 6468-6480 被引量:9
标识
DOI:10.1017/s0033291722003750
摘要

Abstract Background Extensive research has shown abnormal cerebral blood flow (CBF) in patients with major depressive disorder (MDD) that is a heritable disease. The objective of this study was to investigate the genetic mechanisms of CBF abnormalities in MDD. Methods To achieve a more thorough characterization of CBF changes in MDD, we performed a comprehensive neuroimaging meta-analysis of previous literature as well as examined group CBF differences in an independent sample of 133 MDD patients and 133 controls. In combination with the Allen Human Brain Atlas, transcriptome-neuroimaging spatial association analyses were conducted to identify genes whose expression correlated with CBF changes in MDD, followed by a set of gene functional feature analyses. Results We found increased CBF in the reward circuitry and default-mode network and decreased CBF in the visual system in MDD patients. Moreover, these CBF changes were spatially associated with expression of 1532 genes, which were enriched for important molecular functions, biological processes, and cellular components of the cerebral cortex as well as several common mental disorders. Concurrently, these genes were specifically expressed in the brain tissue, in immune cells and neurons, and during nearly all developmental stages. Regarding behavioral relevance, these genes were associated with domains involving emotion and sensation. In addition, these genes could construct a protein-protein interaction network supported by 60 putative hub genes with functional significance. Conclusions Our findings suggest a cerebral perfusion redistribution in MDD, which may be a consequence of complex interactions of a wide range of genes with diverse functional features.
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