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Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics

BACKGROUND: IgA nephropathy (IgAN), which has been reported as the most prevalent glomerulonephritis globally, is the major contributor to end-stage renal diseases. This bioinformatics study aimed to explore glomerulotubular crosstalk genes and dysregulated pathways relating to the pathogenesis of I...

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Autores principales: Bai, Yawen, Li, Yajing, Xi, Yali, Ma, Chunjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008921/
https://www.ncbi.nlm.nih.gov/pubmed/35418061
http://dx.doi.org/10.1186/s12882-022-02779-7
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author Bai, Yawen
Li, Yajing
Xi, Yali
Ma, Chunjie
author_facet Bai, Yawen
Li, Yajing
Xi, Yali
Ma, Chunjie
author_sort Bai, Yawen
collection PubMed
description BACKGROUND: IgA nephropathy (IgAN), which has been reported as the most prevalent glomerulonephritis globally, is the major contributor to end-stage renal diseases. This bioinformatics study aimed to explore glomerulotubular crosstalk genes and dysregulated pathways relating to the pathogenesis of IgAN. METHODS: The microarray datasets from the Gene Expression Omnibus (GEO) database were searched. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) of both glomeruli and tubulointerstitium were conducted individually. The co-expression gene modules of glomeruli and tubulointerstitium were compared via gene function enrichment analysis. Subsequently, the crosstalk co-expression network was constructed via the STRING database and key genes were mined from the crosstalk network. Finally, key genes were validated using another GEO dataset (GSE99340) containing RNA-seq data of IgAN and lupus nephritis, and their potential diagnostic values were shown using receiver operating characteristic (ROC) analysis. RESULTS: Five hundred eighty-three DEGs and eight modules were identified in glomerular samples, while 272 DEGs and four modules were in tubulointerstitial samples. There were 119 overlapping DEGs between the two groups. Among the distinctive modules, four modules in glomeruli and one module in tubulointerstitium were positively associated with IgAN. While four modules in glomeruli and two modules in tubulointerstitium were negatively associated with IgAN. The top ten key genes screened by CytoHubba were ITGAM, ALB, TYROBP, ITGB2, CYBB, HCK, CSF1R, LAPTM5, FN1, and CTSS. Compared with lupus nephritis, there were significant differences in the expression levels of CYBB, CTSS and TYROBP (P < 0.05), while other key genes showed no significant difference. Meanwhile, CYBB, CTSS, and TYROBP demonstrated possible diagnostic significance. CONCLUSIONS: The crosstalk genes confirmed in this study may provide novel insight into the pathogenesis of IgAN. Immune-related pathways are associated with both glomerular and tubulointerstitial injuries in IgAN. The glomerulotubular crosstalk might perform a role in the pathogenesis of IgAN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02779-7.
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spelling pubmed-90089212022-04-15 Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics Bai, Yawen Li, Yajing Xi, Yali Ma, Chunjie BMC Nephrol Research BACKGROUND: IgA nephropathy (IgAN), which has been reported as the most prevalent glomerulonephritis globally, is the major contributor to end-stage renal diseases. This bioinformatics study aimed to explore glomerulotubular crosstalk genes and dysregulated pathways relating to the pathogenesis of IgAN. METHODS: The microarray datasets from the Gene Expression Omnibus (GEO) database were searched. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) of both glomeruli and tubulointerstitium were conducted individually. The co-expression gene modules of glomeruli and tubulointerstitium were compared via gene function enrichment analysis. Subsequently, the crosstalk co-expression network was constructed via the STRING database and key genes were mined from the crosstalk network. Finally, key genes were validated using another GEO dataset (GSE99340) containing RNA-seq data of IgAN and lupus nephritis, and their potential diagnostic values were shown using receiver operating characteristic (ROC) analysis. RESULTS: Five hundred eighty-three DEGs and eight modules were identified in glomerular samples, while 272 DEGs and four modules were in tubulointerstitial samples. There were 119 overlapping DEGs between the two groups. Among the distinctive modules, four modules in glomeruli and one module in tubulointerstitium were positively associated with IgAN. While four modules in glomeruli and two modules in tubulointerstitium were negatively associated with IgAN. The top ten key genes screened by CytoHubba were ITGAM, ALB, TYROBP, ITGB2, CYBB, HCK, CSF1R, LAPTM5, FN1, and CTSS. Compared with lupus nephritis, there were significant differences in the expression levels of CYBB, CTSS and TYROBP (P < 0.05), while other key genes showed no significant difference. Meanwhile, CYBB, CTSS, and TYROBP demonstrated possible diagnostic significance. CONCLUSIONS: The crosstalk genes confirmed in this study may provide novel insight into the pathogenesis of IgAN. Immune-related pathways are associated with both glomerular and tubulointerstitial injuries in IgAN. The glomerulotubular crosstalk might perform a role in the pathogenesis of IgAN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02779-7. BioMed Central 2022-04-13 /pmc/articles/PMC9008921/ /pubmed/35418061 http://dx.doi.org/10.1186/s12882-022-02779-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bai, Yawen
Li, Yajing
Xi, Yali
Ma, Chunjie
Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title_full Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title_fullStr Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title_full_unstemmed Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title_short Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics
title_sort identification and validation of glomerulotubular crosstalk genes mediating iga nephropathy by integrated bioinformatics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008921/
https://www.ncbi.nlm.nih.gov/pubmed/35418061
http://dx.doi.org/10.1186/s12882-022-02779-7
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