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BACKGROUND Post-traumatic stress disorder(PTSD)is a serious stress-related disorder.AIM To identify the key genes and pathways to uncover the potential mechanisms of PTSD using bioinformatics methods.METHODS Gene expression profiles were obtained from the Gene Expression Omnibus database.The differentially expressed genes(DEGs)were identified by using GEO2R.Gene functional annotation and pathway enrichment were then conducted.The gene-pathway network was constructed with Cytoscape software.Quantitative real-time polymerase chain reaction(qRT-PCR)analysis was applied for validation,and text mining by Coremine Medical was used to confirm the connections among genes and pathways.RESULTS We identified 973 DEGs including 358 upregulated genes and 615 downregulated genes in PTSD.A group of centrality hub genes and significantly enriched pathways(MAPK,Ras,and ErbB signaling pathways)were identified by using gene functional assignment and enrichment analyses.Six genes(KRAS,EGFR,NFKB1,FGF12,PRKCA,and RAF1)were selected to validate using qRT-PCR.The results of text mining further confirmed the correlation among hub genes and the enriched pathways.It indicated that these altered genes displayed functional roles in PTSD via these pathways,which might serve as key signatures in the pathogenesis of PTSD.CONCLUSION The current study identified a panel of candidate genes and important pathways,which might help us deepen our understanding of the underlying mechanism of PTSD at the molecular level.However,further studies are warranted to discover the critical regulatory mechanism of these genes via relevant pathways in PTSD.
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篇名 Identification of key genes involved in post-traumatic stress disorder:Evidence from bioinformatics analysis
来源期刊 世界精神病学杂志 学科 医学
关键词 Post-traumatic stress disorder Differentially expressed genes Key pathway Gene-pathway co-expression Bioinformatics analysis MICROARRAY
年,卷(期) 2020,(12) 所属期刊栏目
研究方向 页码范围 286-298
页数 13页 分类号 R73
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Post-traumatic
stress
disorder
Differentially
expressed
genes
Key
pathway
Gene-pathway
co-expression
Bioinformatics
analysis
MICROARRAY
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期刊影响力
世界精神病学杂志
不定期
2220-3206
北京市朝阳区东四环中路62号楼远洋国际中
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31
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0
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