首页|糖尿病肾病核心基因的筛选与鉴定

糖尿病肾病核心基因的筛选与鉴定

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目的 基于生物信息学筛选糖尿病肾病(DKD)核心基因,探究DKD的治疗靶点,讨论其可能的调控机制.方法 提取GEO数据库(GSE30528,GSE47183)DKD患者肾小球转录组表达数据矩阵,采用生物信息学方法对差异表达基因(DEGs)进行筛选,鉴定出核心差异基因,对核心差异基因进行基因表达与富集分析(GSEA),预测有效靶点.结果 通过对DKD mRNA表达矩阵的筛选和鉴定,共筛选出 5 个核心基因,其中C1orf21、NPHS1 表达显著下调,CD48、COL1A2、TGFBI表达上调,研究得知,NPHS1、CD48 与免疫差异、细胞间交流及细胞表面相互作用等有显著相关性.通过受试者工作特征曲线(ROC)分析、GSEA分析及药物靶点与miRNA预测显示,这些差异基因可能对DKD的治疗具有重要意义.结论 该研究筛选的核心基因与DKD具有显著相关性,有可能作为糖尿病治疗有效标志物,为DKD的治疗与鉴定提供理论依据.
Screening and identification of core genes for diabetic nephropathy
Objective To screen the core genes of diabetic kidney disease(DKD)based on bioinformatics,ex-plore the therapeutic targets of DKD,and discuss its possible regulatory mechanism.Methods The expression da-ta matrix of glomerular transcriptome in patients with DKD in GEO database(GSE30528,GSE47183)was extrac-ted,and the differentially expressed genes(DEGs)were screened by bioinformatics methods to identify the core differential genes,and then gene expression and enrichment analysis(GSEA)were conducted to predict effective targets.Results By screening and identifying the mRNA expression matrix of DKD,five core genes were screened out.Among them,C1orf21 and NPHS1 were significantly down regulated,and CD48,COL1A2,and TGFBI were up regulated.NPHS1 and CD48 were significantly related to immune differences,intercellular communication,and cell surface interaction.Through receiver operating characteristic curve(ROC)analysis and GSEA analysis and drug target prediction,it might be of great significance for the treatment of DKD.Conclusion The core genes screened in this study have significant correlation with DKD,which may be used as effective markers for the treat-ment of diabetes.And then,this study provides a theoretical basis for the treatment and identification of DKD.

diabetic kidney diseaseGEO databasetranscriptomebioinformaticsgenetic screeningdrug target

吴晓俊、倪飞雪、徐玉雪

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滨州医学院药学院,烟台 264003

滨州医学院山东省分子靶向智能诊疗技术创新中心,烟台 264003

滨州医学院烟台市干细胞与再生医学重点实验室,烟台 264003

糖尿病肾病 GEO数据库 转录组 生物信息学 基因筛选 药物靶点

国家自然科学基金山东省医药卫生科技发展计划烟台市科技创新发展计划(基础研究类)滨州医学院科研启动基金

318009852017WS6942023JCYJ072BY2017KYQD09

2024

安徽医科大学学报
安徽医科大学

安徽医科大学学报

CSTPCD北大核心
影响因子:1.095
ISSN:1000-1492
年,卷(期):2024.59(4)
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