Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis

Background: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease in China. Tubular injury contributes to the progression of DKD. Our study was conducted to explore the differential gene expression profiles between kidneys from patients with DKD and kidney living donors (LDs).Me...

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Main Authors: Qiannan Xu, Binjue Li, Yucheng Wang, Cuili Wang, Shi Feng, Lu Xue, Jianghua Chen, Hong Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.651690/full
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record_format Article
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language English
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sources DOAJ
author Qiannan Xu
Qiannan Xu
Qiannan Xu
Binjue Li
Binjue Li
Binjue Li
Yucheng Wang
Yucheng Wang
Yucheng Wang
Cuili Wang
Cuili Wang
Cuili Wang
Shi Feng
Shi Feng
Shi Feng
Lu Xue
Lu Xue
Lu Xue
Jianghua Chen
Jianghua Chen
Jianghua Chen
Hong Jiang
Hong Jiang
Hong Jiang
spellingShingle Qiannan Xu
Qiannan Xu
Qiannan Xu
Binjue Li
Binjue Li
Binjue Li
Yucheng Wang
Yucheng Wang
Yucheng Wang
Cuili Wang
Cuili Wang
Cuili Wang
Shi Feng
Shi Feng
Shi Feng
Lu Xue
Lu Xue
Lu Xue
Jianghua Chen
Jianghua Chen
Jianghua Chen
Hong Jiang
Hong Jiang
Hong Jiang
Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
Frontiers in Physiology
bioinformatics analysis
VCAN
tubulointerstium
immune injury
diabetic kidney disease
author_facet Qiannan Xu
Qiannan Xu
Qiannan Xu
Binjue Li
Binjue Li
Binjue Li
Yucheng Wang
Yucheng Wang
Yucheng Wang
Cuili Wang
Cuili Wang
Cuili Wang
Shi Feng
Shi Feng
Shi Feng
Lu Xue
Lu Xue
Lu Xue
Jianghua Chen
Jianghua Chen
Jianghua Chen
Hong Jiang
Hong Jiang
Hong Jiang
author_sort Qiannan Xu
title Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
title_short Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
title_full Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
title_fullStr Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
title_full_unstemmed Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics Analysis
title_sort identification of vcan as hub gene for diabetic kidney disease immune injury using integrated bioinformatics analysis
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2021-09-01
description Background: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease in China. Tubular injury contributes to the progression of DKD. Our study was conducted to explore the differential gene expression profiles between kidneys from patients with DKD and kidney living donors (LDs).Methods: In total, seven DKD and eighteen LD gene expression profiles from the GSE104954 dataset were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were analyzed in R with the limma package. DEGs were uploaded to the g:Profiler online database to explore the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Ingenuity pathway analysis (IPA) was carried out using online IPA software. Weighted gene co-expression network analysis (WGCNA) was performed using the WGCNA R package. By integrating DEGs and genes from the top 1 phenotype-gene associated module, we determined the hub gene. We next tested the hub gene, VCAN, in the GSE30122 dataset. We also validated the versican levels in human kidney tissues, explored immune cell type enrichment using an online database xCell, and investigated the correlation between cell types and VCAN expression.Results: A total of 563 DEGs was identified. A large number of pathways were involved in the immune response process according to the results of GO, KEGG, and IPA. Using WGCNA, we selected the lightcyan module in which genes showed the strongest correlation with the phenotype and smallest P-value. We also identified VCAN as a hub gene by integrating DEG analysis and WGCNA. Versican expression was upregulated in human diabetic kidney tissue. Moreover, versican was speculated to play a role in immune injury according to the enrichment of functions and signaling pathways. VCAN transcript levels correlate with the assembly of immune cells in the kidney.Conclusion: Immune processes played an essential role in DKD tubulointerstitium injury. The hub gene VCAN contributed to this process.
topic bioinformatics analysis
VCAN
tubulointerstium
immune injury
diabetic kidney disease
url https://www.frontiersin.org/articles/10.3389/fphys.2021.651690/full
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spelling doaj-e6c8e67dfb334389be1a7ac7ea05b1912021-09-07T05:26:58ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-09-011210.3389/fphys.2021.651690651690Identification of VCAN as Hub Gene for Diabetic Kidney Disease Immune Injury Using Integrated Bioinformatics AnalysisQiannan Xu0Qiannan Xu1Qiannan Xu2Binjue Li3Binjue Li4Binjue Li5Yucheng Wang6Yucheng Wang7Yucheng Wang8Cuili Wang9Cuili Wang10Cuili Wang11Shi Feng12Shi Feng13Shi Feng14Lu Xue15Lu Xue16Lu Xue17Jianghua Chen18Jianghua Chen19Jianghua Chen20Hong Jiang21Hong Jiang22Hong Jiang23Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaEar Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, ChinaKey Laboratory of Nephropathy, Hangzhou, ChinaInstitute of Nephropathy, Zhejiang University, Hangzhou, ChinaBackground: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease in China. Tubular injury contributes to the progression of DKD. Our study was conducted to explore the differential gene expression profiles between kidneys from patients with DKD and kidney living donors (LDs).Methods: In total, seven DKD and eighteen LD gene expression profiles from the GSE104954 dataset were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were analyzed in R with the limma package. DEGs were uploaded to the g:Profiler online database to explore the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Ingenuity pathway analysis (IPA) was carried out using online IPA software. Weighted gene co-expression network analysis (WGCNA) was performed using the WGCNA R package. By integrating DEGs and genes from the top 1 phenotype-gene associated module, we determined the hub gene. We next tested the hub gene, VCAN, in the GSE30122 dataset. We also validated the versican levels in human kidney tissues, explored immune cell type enrichment using an online database xCell, and investigated the correlation between cell types and VCAN expression.Results: A total of 563 DEGs was identified. A large number of pathways were involved in the immune response process according to the results of GO, KEGG, and IPA. Using WGCNA, we selected the lightcyan module in which genes showed the strongest correlation with the phenotype and smallest P-value. We also identified VCAN as a hub gene by integrating DEG analysis and WGCNA. Versican expression was upregulated in human diabetic kidney tissue. Moreover, versican was speculated to play a role in immune injury according to the enrichment of functions and signaling pathways. VCAN transcript levels correlate with the assembly of immune cells in the kidney.Conclusion: Immune processes played an essential role in DKD tubulointerstitium injury. The hub gene VCAN contributed to this process.https://www.frontiersin.org/articles/10.3389/fphys.2021.651690/fullbioinformatics analysisVCANtubulointerstiumimmune injurydiabetic kidney disease