Cargando…

Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis

Scarring diseases, such as Peyronie’s disease (PD), usually lead to disorders in the immune system. Previous studies suggested that the PD process was regulated by immune signaling. However, the pathogenetic mechanism remains incompletely characterized. This article used bioinformatic approaches to...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Yuanshan, Chen, Lili, Wang, Xiaofeng, Yu, Luxin, Wu, Jitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767094/
https://www.ncbi.nlm.nih.gov/pubmed/36561343
http://dx.doi.org/10.3389/fphar.2022.1019358
_version_ 1784853889087963136
author Cui, Yuanshan
Chen, Lili
Wang, Xiaofeng
Yu, Luxin
Wu, Jitao
author_facet Cui, Yuanshan
Chen, Lili
Wang, Xiaofeng
Yu, Luxin
Wu, Jitao
author_sort Cui, Yuanshan
collection PubMed
description Scarring diseases, such as Peyronie’s disease (PD), usually lead to disorders in the immune system. Previous studies suggested that the PD process was regulated by immune signaling. However, the pathogenetic mechanism remains incompletely characterized. This article used bioinformatic approaches to identify hub genes, key pathways and key immune-related genes that play essential roles in PD pathogenesis. Two Gene Expression Omnibus (GEO) datasets, GSE126005 and GSE146500, were used to analyse the transcriptional profiling in both PD and normal samples. R software was applied to examine the difference in the expression of hub genes and key immune-related genes. The candidates for hub genes were further validated through protein–protein interactions (PPIs), gene correlation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. In addition, candidate miRNA‒mRNA pairs were functionally assessed. A total of 39 candidate genes were identified, the expression levels of which in PD fibroblast cells were different from those in normal cells (16 showed reduced expression in PD and 21 candidates overexpressed in PD). We found that these genes could interact with each other through PPI analysis. According to the functional enrichment analysis, the candidates may regulate some major biological processes, including cytokine‒cytokine receptor interactions and the JAK-STAT signaling pathway. IL6, IL21R, IFNE, CXCL2, EGF, and ANGPTL5 were identified as key immune-related genes. The findings may help understand the role of immunologic contributors in PD, thus shedding light on the development of more effective strategies to prevent and treat this kind of disease.
format Online
Article
Text
id pubmed-9767094
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97670942022-12-21 Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis Cui, Yuanshan Chen, Lili Wang, Xiaofeng Yu, Luxin Wu, Jitao Front Pharmacol Pharmacology Scarring diseases, such as Peyronie’s disease (PD), usually lead to disorders in the immune system. Previous studies suggested that the PD process was regulated by immune signaling. However, the pathogenetic mechanism remains incompletely characterized. This article used bioinformatic approaches to identify hub genes, key pathways and key immune-related genes that play essential roles in PD pathogenesis. Two Gene Expression Omnibus (GEO) datasets, GSE126005 and GSE146500, were used to analyse the transcriptional profiling in both PD and normal samples. R software was applied to examine the difference in the expression of hub genes and key immune-related genes. The candidates for hub genes were further validated through protein–protein interactions (PPIs), gene correlation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. In addition, candidate miRNA‒mRNA pairs were functionally assessed. A total of 39 candidate genes were identified, the expression levels of which in PD fibroblast cells were different from those in normal cells (16 showed reduced expression in PD and 21 candidates overexpressed in PD). We found that these genes could interact with each other through PPI analysis. According to the functional enrichment analysis, the candidates may regulate some major biological processes, including cytokine‒cytokine receptor interactions and the JAK-STAT signaling pathway. IL6, IL21R, IFNE, CXCL2, EGF, and ANGPTL5 were identified as key immune-related genes. The findings may help understand the role of immunologic contributors in PD, thus shedding light on the development of more effective strategies to prevent and treat this kind of disease. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9767094/ /pubmed/36561343 http://dx.doi.org/10.3389/fphar.2022.1019358 Text en Copyright © 2022 Cui, Chen, Wang, Yu 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 Pharmacology
Cui, Yuanshan
Chen, Lili
Wang, Xiaofeng
Yu, Luxin
Wu, Jitao
Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title_full Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title_fullStr Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title_full_unstemmed Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title_short Identifying hub genes, key pathways and key immune-related genes in Peyronie’s disease by integrated bioinformatic analysis
title_sort identifying hub genes, key pathways and key immune-related genes in peyronie’s disease by integrated bioinformatic analysis
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767094/
https://www.ncbi.nlm.nih.gov/pubmed/36561343
http://dx.doi.org/10.3389/fphar.2022.1019358
work_keys_str_mv AT cuiyuanshan identifyinghubgeneskeypathwaysandkeyimmunerelatedgenesinpeyroniesdiseasebyintegratedbioinformaticanalysis
AT chenlili identifyinghubgeneskeypathwaysandkeyimmunerelatedgenesinpeyroniesdiseasebyintegratedbioinformaticanalysis
AT wangxiaofeng identifyinghubgeneskeypathwaysandkeyimmunerelatedgenesinpeyroniesdiseasebyintegratedbioinformaticanalysis
AT yuluxin identifyinghubgeneskeypathwaysandkeyimmunerelatedgenesinpeyroniesdiseasebyintegratedbioinformaticanalysis
AT wujitao identifyinghubgeneskeypathwaysandkeyimmunerelatedgenesinpeyroniesdiseasebyintegratedbioinformaticanalysis