生物信息学分析确定宫内胎儿生长迟缓发病机制的潜在相关基因。

Evolutionary Bioinformatics Online Pub Date : 2022-07-28 eCollection Date: 2022-01-01 DOI:10.1177/11769343221112780
Chao Xiao, Yao Wang, Yuchao Fan
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引用次数: 1

摘要

背景:宫内生长迟缓(IUGR)影响全世界约10%至15%的妊娠。IUGR不仅与死产和新生儿死亡有关,而且还与儿童期认知延迟和成年期代谢和血管疾病的促进有关。研究IUGR的机理是很有意义和价值的。方法:在Gene Expression Omnibus网站检索IUGR相关数据集。采用主成分分析(PCA)进行归一化。使用ggpot2工具筛选差异表达基因(DEGs)。deg被用来进行基因本体(GO)术语、京都基因与基因组百科全书(KEGG)途径富集分析和蛋白质-蛋白质相互作用(PPI)分析。在OMIM网站上搜索IUGR相关基因,寻找与deg的交集。通过在线资源BioGPS分析deg的组织特异性表达。结果通过R语言包绘制的火山图、Venn图、箱形图、热图、GSEA富集图显示。结果:从2个数据集中筛选出11个deg。共检索到195个与OMIM中IUGR相关的基因。EGR2是唯一在两组中发现的交叉基因。与胎盘组织表达相关的基因包括COL17A1、HSD11B1和LGALS14。deg的分子功能与氧化还原酶活性有关。GSEA富集了反应体白介素信号通路、反应体胶原降解信号通路、Naba分泌因子信号通路和PID NFAT信号通路。通过PPI分析鉴定出5个上调基因(LEP、PRL、TAC3、MMP14和ADAMTS4)和4个下调基因(TIMP4、FOS、CCK和KISS1)组成的两个关键模块。最后,我们确定了6个基因(PRL、LGALS14、EGR2、TAC3、LEP和KISS1)可能与IUGR的病理生理有关。结论:通过生物信息学分析发现候选下调基因LGALS14、KISS1以及上调基因PRL、EGR2、TAC3、LEP与IUGR密切相关。这些中心基因与胎盘发育中的缺氧和氧化还原酶活性有关。为探索IUGR的潜在机制,为IUGR的预防提供有用的新信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bioinformatics Analysis Identifies Potential Related Genes in the Pathogenesis of Intrauterine Fetal Growth Retardation.

Bioinformatics Analysis Identifies Potential Related Genes in the Pathogenesis of Intrauterine Fetal Growth Retardation.

Bioinformatics Analysis Identifies Potential Related Genes in the Pathogenesis of Intrauterine Fetal Growth Retardation.

Bioinformatics Analysis Identifies Potential Related Genes in the Pathogenesis of Intrauterine Fetal Growth Retardation.

Background: Intrauterine growth retardation (IUGR) affects approximately 10% to 15% of all pregnancies worldwide. IUGR is not only associated with stillbirth and newborn death, but also the delay of cognition in childhood and the promotion of metabolic and vascular disorders in adulthood. Figuring out the mechanism of IUGR is rather meaningful and valuable.

Methods: Datasets related to IUGR were searched in the Gene Expression Omnibus website. Principal component analysis (PCA) was used for normalization. Differential expressed genes (DEGs) were screened out using the ggpot2 tool. DEGs were used to conduct Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses, and protein-protein interaction (PPI) analysis. IUGR related genes were searched in the OMIM website to look for the intersection with the DEGs. The DEGs were analyzed for tissue-specific expression by the online resource BioGPS. The results were displayed through volcano map, Venn map, box plot, heat map, and GSEA enrichment plots drawn by R language packages.

Results: Eleven DEGs were screened out of 2 datasets. One hundred ninety-five genes related to IUGR in OMIM were retrieved. EGR2 was the only intersection gene that was found in both groups. Genes associated with placental tissue expression include COL17A1, HSD11B1, and LGALS14. Molecular functions of the DEGs are related to the oxidoreductase activity. The following 4 signaling pathways, reactome signaling by interleukins, reactome collagen degradation, Naba secreted factors, and PID NFAT tfpathway, were enriched by GSEA. Two critical modules comprising 5 up-regulated genes (LEP, PRL, TAC3, MMP14, and ADAMTS4) and 4 down-regulated genes (TIMP4, FOS, CCK, and KISS1) were identified by PPI analysis. Finally, we identified 6 genes (PRL, LGALS14, EGR2, TAC3, LEP, and KISS1) that are potentially relevant to the pathophysiology of IUGR.

Conclusion: The candidate down-regulated genes LGALS14 and KISS1, as well as the up-regulated genes PRL, EGR2, TAC3, and LEP, were found to be closely related to IUGR by bioinformatics analysis. These hub genes are related to hypoxia and oxidoreductase activities in placental development. We provide useful and novel information to explore the potential mechanism of IUGR and make efforts to the prevention of IUGR.

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