Transcriptomic decoding of regional cortical vulnerability to major depressive disorder.
Yongqiang YuXiao ChenBin LuXue-Ying LiZi-Han WangLi-Ping CaoGuan-Mao ChenJian-Shan ChenTao ChenTao-Lin ChenYu-Qi ChengZhao-Song ChuShi-Xian CuiXi-Long CuiZhao-Yu DengQi-Yong GongWen-Bin GuoCan-Can HeZheng-Jia-Yi HuQian HuangXin-Lei JiFeng-Nan JiaLi KuangBao-Juan LiFeng LiHui-Xian LiTao LiTao LianYi-Fan LiaoXiao-Yun LiuYan-Song LiuZhe-Ning LiuYi-Cheng LongJian-Ping LuJiang QiuXiao-Xiao ShanTian-Mei SiPeng-Feng SunChuan-Yue WangHua-Ning WangXiang WangYing WangYu-Wei WangXiao-Ping WuXin-Ran WuYan-Kun WuChun-Ming XieGuang-Rong XiePeng XieXiu-Feng XuZhen-Peng XueHong YangHua YuMin-Lan YuanYong-Gui YuanAi-Xia ZhangJing-Ping ZhaoKe-Rang ZhangWei ZhangZi-Jing ZhangChao-Gan Yannull nullYongqiang YuPublished in: Communications biology (2024)
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.
Keyphrases
- major depressive disorder
- functional connectivity
- resting state
- bipolar disorder
- genome wide
- dna methylation
- endoplasmic reticulum stress
- end stage renal disease
- single cell
- climate change
- copy number
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- genome wide identification
- prognostic factors
- gene expression
- stem cells
- multiple sclerosis
- induced apoptosis
- poor prognosis
- oxidative stress
- long non coding rna
- big data
- convolutional neural network
- genome wide analysis
- drug induced