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Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy

小桶 粒体自噬 MFN1型 计算生物学 基因 ULK1 微功率 糖尿病肾病 生物 自噬 癌症研究 基因表达 遗传学 基因本体论 线粒体融合 细胞凋亡 功率(物理) 蛋白激酶A 磷酸化 物理 量子力学 线粒体DNA 安普克
作者
Yuanyuan Yang,Zhong‐Xiuzi Gao,Zi‐Hui Mao,Dongwei Liu,Zhangsuo Liu,Peng Wu
出处
期刊:Frontiers in Endocrinology [Frontiers Media]
卷期号:13 被引量:14
标识
DOI:10.3389/fendo.2022.1079465
摘要

Background Accumulating evidence indicates that mitophagy is crucial for the development of diabetic nephropathy (DN). However, little is known about the key genes involved. The present study is to identify the potential mitophagy-related genes (MRGs) in DN. Methods Five datasets were obtained from the Gene Expression Omnibus (GEO) database and were split into the training and validation set. Then the differentially expressed MRGs were screened and further analyzed for GO and KEGG enrichment. Next, three algorithms (SVM-RFE, LASSO and RF) were used to identify hub genes. The ROC curves were plotted based on the hub genes. We then used the CIBERSORT algorithm to assess the infiltration of 22 types of immune cells and explore the correlation between hub genes and immune cells. Finally, the Nephroseq V5 tool was used to analyze the correlation between hub genes and GFR in DN patients. Results Compared with the tubulointerstitium, the expression of MRGs was more noticeably varied in the glomeruli. Twelve DE-MRGs were identified in glomerular samples, of which 11 genes were down-regulated and only MFN1 was up-regulated. GO and KEGG analysis indicated that several enrichment terms were associated with changes in autophagy. Three genes ( MFN1 , ULK1 and PARK2 ) were finally determined as potential hub genes by three algorithms. In the training set, the AUROC of MFN1 , ULK1 and PARK2 were 0.839, 0.906 and 0.842. However, the results of the validation set demonstrated that MFN1 and PARK2 had no significant difference in distinguishing DN samples from healthy controls, while the AUROC of ULK1 was 0.894. Immune infiltration analysis using CIBERSORT showed that ULK1 was positively related to neutrophils, whereas negatively related to M1 and M2 macrophages. Finally, ULK1 was positively correlated with GFR in Nephroseq database. Conclusions ULK1 is a potential biomarker for DN and may influence the development of diabetic nephropathy by regulating mitophagy.
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