Cargando…

Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis

OBJECTIVE: The study aimed to screen key genes in early diabetic kidney disease (DKD) and predict their biological functions and signaling pathways using bioinformatics analysis of gene chips interrelated to early DKD in the Gene Expression Omnibus database. METHODS: Gene chip data for early DKD was...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Ran, Qiao, Jingtao, Cui, Di, Pan, Qi, Guo, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204256/
https://www.ncbi.nlm.nih.gov/pubmed/35721731
http://dx.doi.org/10.3389/fendo.2022.883658
_version_ 1784728883559399424
author Wei, Ran
Qiao, Jingtao
Cui, Di
Pan, Qi
Guo, Lixin
author_facet Wei, Ran
Qiao, Jingtao
Cui, Di
Pan, Qi
Guo, Lixin
author_sort Wei, Ran
collection PubMed
description OBJECTIVE: The study aimed to screen key genes in early diabetic kidney disease (DKD) and predict their biological functions and signaling pathways using bioinformatics analysis of gene chips interrelated to early DKD in the Gene Expression Omnibus database. METHODS: Gene chip data for early DKD was obtained from the Gene Expression Omnibus expression profile database. We analyzed differentially expressed genes (DEGs) between patients with early DKD and healthy controls using the R language. For the screened DEGs, we predicted the biological functions and relevant signaling pathways by enrichment analysis of Gene Ontology (GO) biological functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways. Using the STRING database and Cytoscape software, we constructed a protein interaction network to screen hub pathogenic genes. Finally, we performed immunohistochemistry on kidney specimens from the Beijing Hospital to verify the above findings. RESULTS: A total of 267 differential genes were obtained using GSE142025, namely, 176 upregulated and 91 downregulated genes. GO functional annotation enrichment analysis indicated that the DEGs were mainly involved in immune inflammatory response and cytokine effects. KEGG pathway analysis indicated that C-C receptor interactions and the IL-17 signaling pathway are essential for early DKD. We identified FOS, EGR1, ATF3, and JUN as hub sites of protein interactions using a protein–protein interaction network and module analysis. We performed immunohistochemistry (IHC) on five samples of early DKD and three normal samples from the Beijing Hospital to label the proteins. This demonstrated that FOS, EGR1, ATF3, and JUN in the early DKD group were significantly downregulated. CONCLUSION: The four hub genes FOS, EGR1, ATF3, and JUN were strongly associated with the infiltration of monocytes, M2 macrophages, and T regulatory cells in early DKD samples. We revealed that the expression of immune response or inflammatory genes was suppressed in early DKD. Meanwhile, the FOS group of low-expression genes showed that the activated biological functions included mRNA methylation, insulin receptor binding, and protein kinase A binding. These genes and pathways may serve as potential targets for treating early DKD.
format Online
Article
Text
id pubmed-9204256
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92042562022-06-18 Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis Wei, Ran Qiao, Jingtao Cui, Di Pan, Qi Guo, Lixin Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The study aimed to screen key genes in early diabetic kidney disease (DKD) and predict their biological functions and signaling pathways using bioinformatics analysis of gene chips interrelated to early DKD in the Gene Expression Omnibus database. METHODS: Gene chip data for early DKD was obtained from the Gene Expression Omnibus expression profile database. We analyzed differentially expressed genes (DEGs) between patients with early DKD and healthy controls using the R language. For the screened DEGs, we predicted the biological functions and relevant signaling pathways by enrichment analysis of Gene Ontology (GO) biological functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways. Using the STRING database and Cytoscape software, we constructed a protein interaction network to screen hub pathogenic genes. Finally, we performed immunohistochemistry on kidney specimens from the Beijing Hospital to verify the above findings. RESULTS: A total of 267 differential genes were obtained using GSE142025, namely, 176 upregulated and 91 downregulated genes. GO functional annotation enrichment analysis indicated that the DEGs were mainly involved in immune inflammatory response and cytokine effects. KEGG pathway analysis indicated that C-C receptor interactions and the IL-17 signaling pathway are essential for early DKD. We identified FOS, EGR1, ATF3, and JUN as hub sites of protein interactions using a protein–protein interaction network and module analysis. We performed immunohistochemistry (IHC) on five samples of early DKD and three normal samples from the Beijing Hospital to label the proteins. This demonstrated that FOS, EGR1, ATF3, and JUN in the early DKD group were significantly downregulated. CONCLUSION: The four hub genes FOS, EGR1, ATF3, and JUN were strongly associated with the infiltration of monocytes, M2 macrophages, and T regulatory cells in early DKD samples. We revealed that the expression of immune response or inflammatory genes was suppressed in early DKD. Meanwhile, the FOS group of low-expression genes showed that the activated biological functions included mRNA methylation, insulin receptor binding, and protein kinase A binding. These genes and pathways may serve as potential targets for treating early DKD. Frontiers Media S.A. 2022-06-03 /pmc/articles/PMC9204256/ /pubmed/35721731 http://dx.doi.org/10.3389/fendo.2022.883658 Text en Copyright © 2022 Wei, Qiao, Cui, Pan and Guo 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
Wei, Ran
Qiao, Jingtao
Cui, Di
Pan, Qi
Guo, Lixin
Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title_full Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title_fullStr Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title_full_unstemmed Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title_short Screening and Identification of Hub Genes in the Development of Early Diabetic Kidney Disease Based on Weighted Gene Co-Expression Network Analysis
title_sort screening and identification of hub genes in the development of early diabetic kidney disease based on weighted gene co-expression network analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204256/
https://www.ncbi.nlm.nih.gov/pubmed/35721731
http://dx.doi.org/10.3389/fendo.2022.883658
work_keys_str_mv AT weiran screeningandidentificationofhubgenesinthedevelopmentofearlydiabetickidneydiseasebasedonweightedgenecoexpressionnetworkanalysis
AT qiaojingtao screeningandidentificationofhubgenesinthedevelopmentofearlydiabetickidneydiseasebasedonweightedgenecoexpressionnetworkanalysis
AT cuidi screeningandidentificationofhubgenesinthedevelopmentofearlydiabetickidneydiseasebasedonweightedgenecoexpressionnetworkanalysis
AT panqi screeningandidentificationofhubgenesinthedevelopmentofearlydiabetickidneydiseasebasedonweightedgenecoexpressionnetworkanalysis
AT guolixin screeningandidentificationofhubgenesinthedevelopmentofearlydiabetickidneydiseasebasedonweightedgenecoexpressionnetworkanalysis