重性抑郁障碍
转录组
前额叶皮质
FOSB公司
基因
心理学
生物
生物信息学
精神科
医学
基因表达
遗传学
认知
作者
Duan Zeng,He Shen,Changlin Ma,Yi Wen,Weichen Song,Qingqing Xu,Nan Zhao,Qiang Wang,Yimin Yu,Yifeng Shen,Jingjing Huang,Huafang Li
标识
DOI:10.1016/j.psychres.2020.113513
摘要
Suicide is a serious and global health problem that has a strong association with major depressive disorder (MDD). Weighted gene co-expression network analysis (WGCNA) was performed for the construction of a co-expression network to get important gene modules associated with depressed suicide. Transcriptome sequencing data from dorsolateral prefrontal cortex was used, which included 29 non-psychiatric controls (CON), 21 MDD suicides (MDD-S) and 9 MDD non-suicides (MDD-NS) of medication-free sudden death individuals. The highest correlation in the module-traits relationship was discovered between the black module and suicide (r = -0.30, p = 0.024) as well as MDD (r = -0.34, p = 0.010).Furthermore, the expression levels of genes decreased progressively across the three groups (CON>MDD-NS>MDD-S). Therefore, the genes in the black module was selected for subsequent analyses. Protein-Protein Interaction Network found that the top 10 hub genes were somehow involved in depressed suicide including JUN, FOS, ATF3, MYC, EGR1, FOSB, DUSP1, NFKBIA, TLR2, NR4A1. Most of the GO terms were enriched in cell death and apoptosis and KEGG was mainly enriched in MAPK pathway. Cell Type–Specific Analysis found these genes were significantly enriched in endothelial and microglia (p<0.000) cell types. In addition, 92 genes in this module had at least one highly significant differentially methylated positions between MDD-S and controls. Cell death and apoptosis may participate in the interplay between depressed suicide and neuro-inflammation system.
科研通智能强力驱动
Strongly Powered by AbleSci AI