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作 者:陈桐莹 高丰禾 汪悦东 林燕平 黄佳纯 黄宏兴 万雷 王世浩[1] 赵宇 刘远祥 袁嘉尧 CHEN Tongying;GAO Fenghe;WANG Yuedong;LIN Yanping;HUANG Jiachun;HUANG Hongxing;WAN Lei;WANG Shihao;ZHAO Yu;LIU Yuanxiang;YUAN Jiarao(The Third Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405;The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510375, China)
机构地区:[1]广州中医药大学第三临床医学院,广东广州510405 [2]广州中医药大学第三附属医院,广东广州510375
出 处:《中国骨质疏松杂志》2021年第1期6-12,共7页Chinese Journal of Osteoporosis
基 金:国家自然科学基金(81673786,81674004,81973886);广东省中医药局科研项目(20193008);广州市海珠区科技工业商务和信息化局项目(海科工商信计2018-94);广州中医药大学学科研究重点项目(XK2019028)。
摘 要: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。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.
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