Zhu Jiajia, Chen Xiao, Lu Bin, Li Xue-Ying, Wang Zi-Han, Cao Li-Ping, Chen Guan-Mao, Chen Jian-Shan, Chen Tao, Chen Tao-Lin, Cheng Yu-Qi, Chu Zhao-Song, Cui Shi-Xian, Cui Xi-Long, Deng Zhao-Yu, Gong Qi-Yong, Guo Wen-Bin, He Can-Can, Hu Zheng-Jia-Yi, Huang Qian, Ji Xin-Lei, Jia Feng-Nan, Kuang Li, Li Bao-Juan, Li Feng, Li Hui-Xian, Li Tao, Lian Tao, Liao Yi-Fan, Liu Xiao-Yun, Liu Yan-Song, Liu Zhe-Ning, Long Yi-Cheng, Lu Jian-Ping, Qiu Jiang, Shan Xiao-Xiao, Si Tian-Mei, Sun Peng-Feng, Wang Chuan-Yue, Wang Hua-Ning, Wang Xiang, Wang Ying, Wang Yu-Wei, Wu Xiao-Ping, Wu Xin-Ran, Wu Yan-Kun, Xie Chun-Ming, Xie Guang-Rong, Xie Peng, Xu Xiu-Feng, Xue Zhen-Peng, Yang Hong, Yu Hua, Yuan Min-Lan, Yuan Yong-Gui, Zhang Ai-Xia, Zhao Jing-Ping, Zhang Ke-Rang, Zhang Wei, Zhang Zi-Jing, Yan Chao-Gan, Yu Yongqiang
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
Commun Biol. 2024 Aug 8;7(1):960. doi: 10.1038/s42003-024-06665-w.
Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls. Combined with the Allen Human Brain Atlas, we then adopted transcription-neuroimaging spatial correlation and the newly developed ensemble-based gene category enrichment analysis to identify gene categories with expression related to cortical changes in MDD. Results showed that patients had relatively circumscribed impairments in local functional properties and broadly distributed disruptions in global functional connectivity, consistently characterized by hyper-function in associative areas and hypo-function in primary regions. Moreover, the local functional alterations were correlated with genes enriched for biological functions related to MDD in general (e.g., endoplasmic reticulum stress, mitogen-activated protein kinase, histone acetylation, and DNA methylation); and the global functional connectivity changes were associated with not only MDD-general, but also brain-relevant genes (e.g., neuron, synapse, axon, glial cell, and neurotransmitters). Our findings may provide important insights into the transcriptomic signatures of regional cortical vulnerability to MDD.
先前针对小样本的研究已发现,重度抑郁症(MDD)患者存在不一致的皮质异常。尽管基因对MDD和大脑有影响,但尚不清楚MDD的遗传风险是如何转化为空间模式化的皮质易损性的。在此,我们首先使用来自1660名MDD患者和1341名对照的最大规模多模态MRI数据,检查了皮质功能和结构的体素水平差异。结合艾伦人类大脑图谱,我们随后采用转录-神经影像空间相关性和新开发的基于集合的基因类别富集分析,以识别与MDD皮质变化相关的表达基因类别。结果显示,患者在局部功能特性方面存在相对局限的损伤,在整体功能连接方面存在广泛分布的破坏,其特征始终是联合区域功能亢进和初级区域功能减退。此外,局部功能改变与一般与MDD相关的生物学功能富集的基因(如内质网应激、丝裂原活化蛋白激酶、组蛋白乙酰化和DNA甲基化)相关;而整体功能连接变化不仅与MDD一般相关基因有关,还与大脑相关基因(如神经元、突触、轴突、神经胶质细胞和神经递质)有关。我们的研究结果可能为区域皮质对MDD易损性的转录组特征提供重要见解。