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Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis
BACKGROUND: Intracranial aneurysm (IA) is the most common cerebrovascular disease, and subarachnoid hemorrhage caused by its rupture can seriously impede nerve function. Pyroptosis is an inflammatory mode of cell death whose underlying mechanisms involving the occurrence and rupture of IAs remain un...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523789/ https://www.ncbi.nlm.nih.gov/pubmed/37752552 http://dx.doi.org/10.1186/s40659-023-00464-z |
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author | Zhou, Donglin Zhu, Yimin Jiang, Peng Zhang, Tongfu Zhuang, Jianfeng Li, Tao Qi, Linzeng Wang, Yunyan |
author_facet | Zhou, Donglin Zhu, Yimin Jiang, Peng Zhang, Tongfu Zhuang, Jianfeng Li, Tao Qi, Linzeng Wang, Yunyan |
author_sort | Zhou, Donglin |
collection | PubMed |
description | BACKGROUND: Intracranial aneurysm (IA) is the most common cerebrovascular disease, and subarachnoid hemorrhage caused by its rupture can seriously impede nerve function. Pyroptosis is an inflammatory mode of cell death whose underlying mechanisms involving the occurrence and rupture of IAs remain unclear. In this study, using bioinformatics analysis, we identified the potential pyroptosis-related genes (PRGs) and performed their inflammatory response mechanisms in IAs. METHODS: The mRNA expression matrix of the IA tissue was obtained from the Gene Expression Omnibus database, and 51 PRGs were obtained from previous articles collected from PubMed. The differentially expressed PRGs (DEPRGs) were performed using R software. Subsequently, we performed enrichment analysis, constructed a protein–protein interaction network, performed weighted gene coexpression network analysis (WGCNA) and external validation using another dataset, and identified a correlation between hub genes and immune cell infiltration. Finally, the expression and tissue distribution of these hub genes in IA tissues were detected using Western blotting and immunohistochemical (IHC) staining. RESULTS: In total, 12 DEPRGs associated with IA were identified in our analysis, which included 11 up-regulated and one down-regulated genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that the DEPRGs were mostly enriched in the NOD-like receptor signaling pathway, interleukin-1 beta production, and the inflammasome complex. Three hub genes, NLRP3, IL1B and IL18, were identified using Cytoscape software and the WGCNA correlation module, and external validation revealed statistically significant differences between the expression of these hub genes in the ruptured and unruptured aneurysm groups (p < 0.05). Furthermore, all AUC values were > 0.75. Immune cell infiltration analysis suggested that the hub genes are related to CD8 T cell, macrophages and mast cells. Finally, IHC staining revealed that the protein levels of these hub genes were higher in ruptured and unruptured IA tissues than in normal tissues (p < 0.05). CONCLUSION: The results of bioinformatics analysis showed that pyroptosis is closely related to the formation and rupture of IA, and identified three potential hub genes involved in the pyroptosis and infiltration ofcells. Our findings may improve the understanding of the mechanisms underlying pyroptosis in IA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00464-z. |
format | Online Article Text |
id | pubmed-10523789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105237892023-09-28 Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis Zhou, Donglin Zhu, Yimin Jiang, Peng Zhang, Tongfu Zhuang, Jianfeng Li, Tao Qi, Linzeng Wang, Yunyan Biol Res Research Article BACKGROUND: Intracranial aneurysm (IA) is the most common cerebrovascular disease, and subarachnoid hemorrhage caused by its rupture can seriously impede nerve function. Pyroptosis is an inflammatory mode of cell death whose underlying mechanisms involving the occurrence and rupture of IAs remain unclear. In this study, using bioinformatics analysis, we identified the potential pyroptosis-related genes (PRGs) and performed their inflammatory response mechanisms in IAs. METHODS: The mRNA expression matrix of the IA tissue was obtained from the Gene Expression Omnibus database, and 51 PRGs were obtained from previous articles collected from PubMed. The differentially expressed PRGs (DEPRGs) were performed using R software. Subsequently, we performed enrichment analysis, constructed a protein–protein interaction network, performed weighted gene coexpression network analysis (WGCNA) and external validation using another dataset, and identified a correlation between hub genes and immune cell infiltration. Finally, the expression and tissue distribution of these hub genes in IA tissues were detected using Western blotting and immunohistochemical (IHC) staining. RESULTS: In total, 12 DEPRGs associated with IA were identified in our analysis, which included 11 up-regulated and one down-regulated genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that the DEPRGs were mostly enriched in the NOD-like receptor signaling pathway, interleukin-1 beta production, and the inflammasome complex. Three hub genes, NLRP3, IL1B and IL18, were identified using Cytoscape software and the WGCNA correlation module, and external validation revealed statistically significant differences between the expression of these hub genes in the ruptured and unruptured aneurysm groups (p < 0.05). Furthermore, all AUC values were > 0.75. Immune cell infiltration analysis suggested that the hub genes are related to CD8 T cell, macrophages and mast cells. Finally, IHC staining revealed that the protein levels of these hub genes were higher in ruptured and unruptured IA tissues than in normal tissues (p < 0.05). CONCLUSION: The results of bioinformatics analysis showed that pyroptosis is closely related to the formation and rupture of IA, and identified three potential hub genes involved in the pyroptosis and infiltration ofcells. Our findings may improve the understanding of the mechanisms underlying pyroptosis in IA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00464-z. BioMed Central 2023-09-27 /pmc/articles/PMC10523789/ /pubmed/37752552 http://dx.doi.org/10.1186/s40659-023-00464-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article Zhou, Donglin Zhu, Yimin Jiang, Peng Zhang, Tongfu Zhuang, Jianfeng Li, Tao Qi, Linzeng Wang, Yunyan Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title | Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title_full | Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title_fullStr | Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title_full_unstemmed | Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title_short | Identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
title_sort | identifying pyroptosis- and inflammation-related genes in intracranial aneurysms based on bioinformatics analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523789/ https://www.ncbi.nlm.nih.gov/pubmed/37752552 http://dx.doi.org/10.1186/s40659-023-00464-z |
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