基因
重性抑郁障碍
疾病
基因本体论
萧条(经济学)
机制(生物学)
计算生物学
生物信息学
生物
遗传学
基因表达
医学
神经科学
内科学
认知
哲学
宏观经济学
认识论
经济
作者
Yajing Cheng,Mingjian Sun,Rui Wang,Xin Geng,Fei Wang
标识
DOI:10.1177/15333175211046123
摘要
BackgroundAlthough many studies reported a close relationship between depression and Alzheimer's disease (AD), the underlying pathophysiological mechanism remains unclear. The present study aimed to investigate the mechanism of AD and major depressive disorder (MDD). Method: The datasets were downloaded from the Gene Expression Omnibus. After screening differentially expressed genes (DEGs), gene ontology and pathway analysis were performed and protein-protein interaction, TF-target gene, and miRNA-target gene networks were established. Results: 171 DEGs of AD-related datasets and 79 DEGs shared by AD and MDD were detected. Functional analysis revealed that AD and MDD common genes were significantly enriched in circadian entrainment and long-term depression signaling pathways. Five hub genes were identified after construction of networks and validation of hub gene signatures. In conclusion, DYNC1H1, MAPRE3, TTBK2, ITGB1, and WASL may be potential targets for the diagnosis and treatment of AD and MDD.
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