Department of Nephrology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Hereditas. 2022 Sep 26;159(1):36. doi: 10.1186/s41065-022-00249-6.
Diabetic nephropathy (DN) is the major cause of end-stage renal disease worldwide. The mechanism of tubulointerstitial lesions in DN is not fully elucidated. This article aims to identify novel genes and clarify the molecular mechanisms for the progression of DN through integrated bioinformatics approaches.
We downloaded microarray datasets from Gene Expression Omnibus (GEO) database and identified the differentially expressed genes (DEGs). Enrichment analyses, construction of Protein-protein interaction (PPI) network, and visualization of the co-expressed network between mRNAs and microRNAs (miRNAs) were performed. Additionally, we validated the expression of hub genes and analyzed the Receiver Operating Characteristic (ROC) curve in another GEO dataset. Clinical analysis and ceRNA networks were further analyzed.
Totally 463 DEGs were identified, and enrichment analyses demonstrated that extracellular matrix structural constituents, regulation of immune effector process, positive regulation of cytokine production, phagosome, and complement and coagulation cascades were the major enriched pathways in DN. Three hub genes (CD53, CSF2RB, and LAPTM5) were obtained, and their expression levels were validated by GEO datasets. Pearson analysis showed that these genes were negatively correlated with the glomerular filtration rate (GFR). After literature searching, the ceRNA networks among circRNAs/IncRNAs, miRNAs, and mRNAs were constructed. The predicted RNA pathway of NEAT1/XIST-hsa-miR-155-5p/hsa-miR-486-5p-CSF2RB provides an important perspective and insights into the molecular mechanism of DN.
In conclusion, we identified three genes, namely CD53, CSF2RB, and LAPTM5, as hub genes of tubulointerstitial lesions in DN. They may be closely related to the pathogenesis of DN and the predicted RNA regulatory pathway of NEAT1/XIST-hsa-miR-155-5p/hsa-miR-486-5p-CSF2RB presents a biomarker axis to the occurrence and development of DN.
糖尿病肾病(DN)是全球终末期肾病的主要病因。DN 肾小管间质病变的机制尚未完全阐明。本文旨在通过整合生物信息学方法,鉴定新的基因,并阐明 DN 进展的分子机制。
我们从基因表达综合数据库(GEO)下载了微阵列数据集,并鉴定了差异表达基因(DEGs)。进行了富集分析、构建蛋白-蛋白相互作用(PPI)网络以及 mRNAs 和 microRNAs(miRNAs)之间的共表达网络可视化。此外,我们在另一个 GEO 数据集上验证了枢纽基因的表达,并分析了接收器操作特征(ROC)曲线。进一步进行了临床分析和 ceRNA 网络分析。
共鉴定出 463 个 DEGs,富集分析表明,细胞外基质结构成分、免疫效应过程调节、细胞因子产生的正调控、吞噬体、补体和凝血级联是 DN 中的主要富集途径。获得了 3 个枢纽基因(CD53、CSF2RB 和 LAPTM5),并通过 GEO 数据集验证了它们的表达水平。Pearson 分析表明,这些基因与肾小球滤过率(GFR)呈负相关。经过文献检索,构建了 circRNAs/IncRNAs、miRNAs 和 mRNAs 之间的 ceRNA 网络。预测的 NEAT1/XIST-hsa-miR-155-5p/hsa-miR-486-5p-CSF2RB 转录物途径为 DN 的分子机制提供了重要的视角和见解。
总之,我们鉴定出 CD53、CSF2RB 和 LAPTM5 这 3 个基因作为 DN 肾小管间质病变的枢纽基因。它们可能与 DN 的发病机制密切相关,并且预测的 NEAT1/XIST-hsa-miR-155-5p/hsa-miR-486-5p-CSF2RB 转录物途径提供了一个生物标志物轴,用于预测 DN 的发生和发展。