Analyzing gene-based apoptotic biomarkers in insomnia using bioinformatics.

IF 1.3 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Wenwen Zhu, Xingchun Yang, Nanxi Li, Bin Zhang, Lishan Huang, Hanxing Cheng, Xiao Wu, Dechou Zhang, Sen Li, Houping Xu
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引用次数: 0

Abstract

Insomnia is increasingly common and poses significant health risks. The aims of this study are to identify apoptosis-related genes and potential biomarkers for insomnia and to find new therapeutic targets. Insomnia gene expression profiles were downloaded from the Gene Expression Omnibus database, and differentially expressed genes in normal and insomnia samples were identified by limma rapid differential analysis, and then the major modular genes with clinical relevance to insomnia were analyzed using the Weighted Gene Co-Expression Network Analysis, and intersections were obtained with the differentially expressed genes as well as with apoptotic gene databases. We validated apoptosis-related differentially expressed genes, enriched and analyzed the specific biological process of insomnia and related signaling pathways. In addition, we constructed a protein-protein interaction network and obtained Top10 hub genes using Cytoscape. We selected 3 of them as hub genes and compared their expression in normal hippocampal neuronal cells and hippocampal neuronal cells of the model group exposed to corticosterone induction by Western Blot and qRT-PCR experiments. A total of 190 differentially expressed apoptosis-related genes were identified in insomnia, and BCL2, SOCS3, and IL7R were identified as important hub genes. Enrichment analysis showed that the occurrence of apoptosis in insomnia was mainly related to "PI3K-Akt signaling pathway," "JAK-STAT signaling pathway," "P53 signaling pathway" and so on. GO analysis showed that apoptosis in insomnia was mainly related to "immune response," "T cell differentiation in thymus," and "positive regulation of MAPK cascade." Western Blot and qRT-PCR experiments showed that BCL2, SOCS3, IL7R antiapoptotic indexes were under-expressed in modeled hippocampal neuronal cells compared to normal hippocampal neuronal cells. This study emphasizes the role of apoptosis-related genes in insomnia and preliminarily predicts that the occurrence of insomnia is closely related to apoptosis. Compared to the normal group, the antiapoptotic ability of hippocampal neurons in the model group is reduced. Although BCL2 has been studied in the context of sleep deprivation, SOCS3 and IL7R have not yet been explored in insomnia. Insomnia and sleep deprivation involve similar pathways, but due to different mechanisms and types of insomnia, gene expression may vary.

利用生物信息学分析失眠中基于基因的凋亡生物标志物。
失眠越来越普遍,并对健康构成重大威胁。本研究的目的是鉴定失眠的细胞凋亡相关基因和潜在的生物标志物,并寻找新的治疗靶点。从基因表达Omnibus数据库下载失眠基因表达谱,通过limma快速差异分析鉴定正常和失眠样本的差异表达基因,然后使用加权基因共表达网络分析分析与失眠临床相关的主要模块化基因,并与差异表达基因和凋亡基因数据库进行交集。我们验证了细胞凋亡相关的差异表达基因,丰富并分析了失眠的具体生物学过程和相关信号通路。此外,我们构建了蛋白-蛋白相互作用网络,并利用Cytoscape获得了Top10枢纽基因。我们选取其中3个作为枢纽基因,通过Western Blot和qRT-PCR实验比较其在皮质酮诱导模型组海马神经元细胞和正常海马神经元细胞中的表达情况。失眠患者共鉴定出190个差异表达的凋亡相关基因,其中BCL2、SOCS3、IL7R为重要枢纽基因。富集分析显示失眠患者细胞凋亡的发生主要与“PI3K-Akt信号通路”、“JAK-STAT信号通路”、“P53信号通路”等有关。GO分析显示失眠的细胞凋亡主要与“免疫反应”、“胸腺T细胞分化”和“MAPK级联的正向调节”有关。Western Blot和qRT-PCR实验显示,与正常海马神经元细胞相比,BCL2、SOCS3、IL7R抗凋亡指标在模型海马神经元细胞中低表达。本研究强调细胞凋亡相关基因在失眠中的作用,初步预测失眠的发生与细胞凋亡密切相关。与正常组比较,模型组海马神经元抗凋亡能力降低。虽然BCL2已经在睡眠剥夺的背景下进行了研究,但SOCS3和IL7R尚未在失眠中进行探索。失眠和睡眠剥夺涉及相似的途径,但由于失眠的机制和类型不同,基因表达可能会有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicine
Medicine 医学-医学:内科
CiteScore
2.80
自引率
0.00%
发文量
4342
审稿时长
>12 weeks
期刊介绍: Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.
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