Frontiers in Endocrinology (Jan 2023)

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

  • Yuan-Yuan Yang,
  • Yuan-Yuan Yang,
  • Yuan-Yuan Yang,
  • Yuan-Yuan Yang,
  • Zhong-Xiuzi Gao,
  • Zhong-Xiuzi Gao,
  • Zhong-Xiuzi Gao,
  • Zhong-Xiuzi Gao,
  • Zi-Hui Mao,
  • Zi-Hui Mao,
  • Zi-Hui Mao,
  • Zi-Hui Mao,
  • Dong-Wei Liu,
  • Dong-Wei Liu,
  • Dong-Wei Liu,
  • Dong-Wei Liu,
  • Zhang-Suo Liu,
  • Zhang-Suo Liu,
  • Zhang-Suo Liu,
  • Zhang-Suo Liu,
  • Peng Wu,
  • Peng Wu,
  • Peng Wu,
  • Peng Wu

DOI
https://doi.org/10.3389/fendo.2022.1079465
Journal volume & issue
Vol. 13

Abstract

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BackgroundAccumulating 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.MethodsFive 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.ResultsCompared 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.ConclusionsULK1 is a potential biomarker for DN and may influence the development of diabetic nephropathy by regulating mitophagy.

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