Dai Qin, Huang Siyi, Fang Yi, Ding Xiaoqiang
Department of Nephrology, Xuhui District Central Hospital, Shanghai, People's Republic of China.
Department of Nephrology, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, People's Republic of China.
J Inflamm Res. 2024 Aug 29;17:5763-5779. doi: 10.2147/JIR.S467388. eCollection 2024.
Diabetic nephropathy (DN) is a prevalent complication of diabetes, often leading to end-stage kidney disease (ESKD). Advanced DN progresses to ESKD rapidly, yet effective diagnostic indicators and treatments are lacking.
Two DN-related datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the R packages. Pyroptosis-related genes (PRGs) and ferroptosis-related genes (FRGs) were collected from their respective database. Pyroptosis- and ferroptosis-related differentially expressed genes (PFRDEGs) were identified by overlapping DEGs, PRGs, and FRGs for further analysis, including functional enrichment and immune infiltration. Hub genes were identified using a PPI network via MCODE-plugin in Cytoscape. GeneMANIA was utilized to explore intermolecular interactions among hub genes. Based on these hub genes, a diagnostic model was constructed using the receiver operating characteristic curve and potential therapeutic agents were retrieved. Correlation analysis between hub genes and estimated glomerular filtration rate was performed using Nephroseq v5 database, and expression of hub genes was validated in external GEO database, Nephroseq v5 database and DN mice in vivo.
Four hub genes (CYBB, LCN2, JUN and ADIPOQ) were identified, and three of the four hub genes (CYBB, LCN2 and ADIPOQ) were found to be potential biomarkers for advanced DN. On this basis, three potential therapeutic agents were screened. More importantly, a series of biological experiments confirmed that CYBB and LCN2 were significantly up-regulated in DN mice.
This study identifies three hub genes as diagnostic biomarkers and mines three potential therapeutic agents for advanced DN, providing new insights into the role of pyroptosis and ferroptosis in advanced DN and laying the foundation for future research.
糖尿病肾病(DN)是糖尿病常见的并发症,常导致终末期肾病(ESKD)。晚期DN迅速进展为ESKD,但缺乏有效的诊断指标和治疗方法。
从基因表达综合数据库(GEO)中获取两个与DN相关的数据集。使用R包识别差异表达基因(DEG)。从各自的数据库中收集焦亡相关基因(PRG)和铁死亡相关基因(FRG)。通过重叠DEG、PRG和FRG来识别焦亡和铁死亡相关的差异表达基因(PFRDEG),以进行进一步分析,包括功能富集和免疫浸润。使用Cytoscape中的MCODE插件通过蛋白质-蛋白质相互作用(PPI)网络识别枢纽基因。利用GeneMANIA探索枢纽基因之间的分子间相互作用。基于这些枢纽基因,使用受试者工作特征曲线构建诊断模型,并检索潜在的治疗药物。使用Nephroseq v5数据库进行枢纽基因与估计肾小球滤过率之间的相关性分析,并在外部GEO数据库、Nephroseq v5数据库和体内DN小鼠中验证枢纽基因的表达。
识别出四个枢纽基因(CYBB、LCN2、JUN和ADIPOQ),发现这四个枢纽基因中的三个(CYBB、LCN2和ADIPOQ)是晚期DN的潜在生物标志物。在此基础上,筛选出三种潜在的治疗药物。更重要的是,一系列生物学实验证实CYBB和LCN2在DN小鼠中显著上调。
本研究确定了三个枢纽基因作为诊断生物标志物,并挖掘出三种晚期DN的潜在治疗药物,为焦亡和铁死亡在晚期DN中的作用提供了新的见解,为未来的研究奠定了基础。