基于生物信息学探讨骨质疏松症与膝骨关节炎的关系

目的利用生物信息学探索骨质疏松症与膝骨关节炎的关系。方法通过GEO数据库查找骨质疏松症和膝骨关节炎血清基因芯片表达谱;采用GEO2R筛选出差异miRNA并在miRDB、Targetscan进行靶基因预测;DAVID6.8数据库对差异基因进行功能GO分析及KEGG信号通路分析;应用STRING、Cytoscape软件建立蛋白相互作用网络。结果本研究共获得骨质疏松症与膝骨关节有交集的4个差异miRNA,蛋白相互作用网络共含278个节点与545条连线。筛选出10个核心基因:VEGFA、ESR1、CCND1、PRKACA、GSK3β、H2AFX、SHH、EGR1、DNMT3A、DNMT3B。结论交集miRNA和核心基因的发现有助于了解骨质疏松症与膝骨关节炎的相关性,了解两病的相关发病机理,为药物的开发提供靶点。

Investigation of the relationship between osteoporosis and knee osteoarthritis based on bioinformatics

Objective To investigate the relationship between osteoporosis and knee osteoarthritis based on bioinformatics.Methods NCBI gene expression was screened from gene chips by Gene Expression Omnibus(GEO)database.The differentially expressed miRNAs(DEmiRNAs)were picked using GEO2R tool and the target genes of miRNAs were predicted using miRDB and Targetscan.Gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed for the target genes using DAVID.Cytoscape and STRING were used to visualize protein-protein interaction(PPI)of these target genes.Results Four DEmiRNA were obtained.PPI network was developed with 278 nodes and 545 edges.Ten genes were selected as core genes,including VEGFA,ESR1,CCND1,PRKACA,GSK3β,H2AFX,SHH,EGR1,DNMT3A,and DNMT3B.Conclusion The discovery of key genes and miRNAs may help to understand the pathophysiology of osteoporosis and knee osteoarthritis and to provide therapeutic targets for the development of drugs.