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首页> 外文期刊>International Journal of Medical Sciences >Identification of key genes and pathways in scleral extracellular matrix remodeling in glaucoma: Potential therapeutic agents discovered using bioinformatics analysis
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Identification of key genes and pathways in scleral extracellular matrix remodeling in glaucoma: Potential therapeutic agents discovered using bioinformatics analysis

机译:鉴定青光眼巩膜细胞外基质重塑的关键基因和途径:使用生物信息学分析发现的潜在治疗剂

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Background: Glaucoma is a leading cause of irreversible blindness. Remodeling of the scleral extracellular matrix (ECM) plays an important role in the development of glaucoma. The aim of this study was to identify the key genes and pathways for the ECM remodeling of sclera in glaucoma by bioinformatics analysis and to explore potential therapeutic agents for glaucoma management. Methods: Genes associated with glaucoma, sclera and ECM remodeling were detected using the text mining tool pubmed2ensembl, and assigned Gene Ontology (GO) biological process terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using the GeneCodis program. A protein-protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape, module analysis was performed using the Molecular Complex Detection (MCODE) plugin, and GO and KEGG analyses of the gene modules were performed using the Database of Annotation, Visualization and Integrated Discovery (DAVID) platform. The genes that clustered in the significant module were selected as core genes, and functions and pathways of the core genes were visualized using ClueGO and CluePedia. Lastly, the drug-gene interaction database was used to explore drug–gene interactions of the core genes to find drug candidates for glaucoma. Results: We identified 125 genes common to “Glaucoma”, “Sclera”, and “ECM remodeling” by text mining. Gene functional enrichment analysis yielded 30 enriched GO terms and 20 associated KEGG pathways. A PPI network that included 60 nodes with 249 edges was constructed, and three gene modules were obtained using the MCODE. We selected 13 genes that clustered in module 1 as core candidate genes that were associated mainly with ECM degradation and cell proliferation and division. The HIF-1 signaling pathway, FOXO signaling pathway, PI3K-Akt signaling pathway and TGFB signaling pathway were found to be enriched. We found that 11 of the 13 selected genes could be targeted by 26 existing drugs. Conclusions: The results showed that VEGFA, TGFB1, TGFB2, TGFB3, IGF2, IGF1, EGF, FN1, KNG1, TIMP1, SERPINE1, THBS1, and VWF were potential key genes involved to scleral ECM remodeling. Furthermore, 26 drugs were identified as potential therapeutic agents for glaucoma treatment and management.
机译:背景:青光眼是不可逆转的失明的主要原因。巩膜细胞外基质(ECM)的重塑在青光眼的发展中起着重要作用。本研究的目的是通过生物信息学分析鉴定巩膜中巩膜中巩膜ECM重塑的关键基因和途径,并探讨青光眼管理的潜在治疗剂。方法:使用Text Mining Tool2ensembl检测与青光眼,巩膜和ECM重塑相关的基因,并使用Genecodis程序分配基因本体(GO)生物学处理术语和基因组(Kegg)途径的基因和基因组(Kegg)途径。通过串构建蛋白质 - 蛋白质相互作用(PPI)网络,并在Cytoscape中进行可视化,使用分子复数(MCODE)插件进行模块分析,使用注释数据库,可视化进行GEAG模块的GO和Kegg分析和集成的发现(David)平台。选择在显着模块中的基因被选择为核心基因,并且使用Cluego和Cluepedia来观察核心基因的功能和途径。最后,药物基因相互作用数据库用于探讨核心基因的药物基因相互作用,以找到青光眼的药物候选物。结果:通过文本挖掘确定了“青光眼”,“巩膜”和“ECM改造”共同的125个基因。基因官能富集分析产生30个富集术语和20个相关的KEGG途径。构建包含具有249个边缘的60个节点的PPI网络,使用MCODE获得三个基因模块。我们选择了在模块1中聚集的13个基因,作为主要与ECM降解和细胞增殖和分裂相关联的核心候选基因。发现HIF-1信号通路,FOXO信号通路,PI3K-AKT信号传导途径和TGFB信号传导途径富集。我们发现,13种所选基因中的11个可以靶向26种现有的药物。结论:结果表明,VEGFA,TGFB1,TGFB2,TGFB3,IGF2,IGF1,EGF,FN1,KNG1,TIMP1,Serpine1,THBS1和VWF是涉及巩膜ECM重塑的潜在关键基因。此外,26种药物被鉴定为青光眼治疗和管理的潜在治疗剂。

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