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Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy
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 fro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889542/ https://www.ncbi.nlm.nih.gov/pubmed/36743936 http://dx.doi.org/10.3389/fendo.2022.1079465 |
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author | Yang, Yuan-Yuan Gao, Zhong-Xiuzi Mao, Zi-Hui Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng |
author_facet | Yang, Yuan-Yuan Gao, Zhong-Xiuzi Mao, Zi-Hui Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng |
author_sort | Yang, Yuan-Yuan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9889542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98895422023-02-02 Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy Yang, Yuan-Yuan Gao, Zhong-Xiuzi Mao, Zi-Hui Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng Front Endocrinol (Lausanne) Endocrinology 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. Frontiers Media S.A. 2023-01-18 /pmc/articles/PMC9889542/ /pubmed/36743936 http://dx.doi.org/10.3389/fendo.2022.1079465 Text en Copyright © 2023 Yang, Gao, Mao, Liu, Liu and Wu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Yang, Yuan-Yuan Gao, Zhong-Xiuzi Mao, Zi-Hui Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title | Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title_full | Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title_fullStr | Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title_full_unstemmed | Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title_short | Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy |
title_sort | identification of ulk1 as a novel mitophagy-related gene in diabetic nephropathy |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889542/ https://www.ncbi.nlm.nih.gov/pubmed/36743936 http://dx.doi.org/10.3389/fendo.2022.1079465 |
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