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Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic sinonasal inflammatory disease with limited treatment options of corticosteroids, sinus surgery, or both. CRSwNP is frequently associated with allergic rhinitis and asthma, but the molecular mechanisms underlying CRSwNP inflammation are...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884819/ https://www.ncbi.nlm.nih.gov/pubmed/33603773 http://dx.doi.org/10.3389/fgene.2021.609754 |
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author | Hao, Yun Zhao, Yan Wang, Ping Du, Kun Li, Ying Yang, Zhen Wang, Xiangdong Zhang, Luo |
author_facet | Hao, Yun Zhao, Yan Wang, Ping Du, Kun Li, Ying Yang, Zhen Wang, Xiangdong Zhang, Luo |
author_sort | Hao, Yun |
collection | PubMed |
description | Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic sinonasal inflammatory disease with limited treatment options of corticosteroids, sinus surgery, or both. CRSwNP is frequently associated with allergic rhinitis and asthma, but the molecular mechanisms underlying CRSwNP inflammation are not completely understood. We obtained four gene expression profiles (GSE136825, GSE36830, GSE23552, and GSE72713) from four Gene Expression Omnibus (GEO), which collectively included 65 nasal polyp samples from CRSwNP patients and 54 nasal mucosal samples from healthy controls. Using an integrated analysis approach, we identified 76 co-differentially expressed genes (co-DEGs, including 45 upregulated and 31 downregulated) in CRSwNP patients compared with the healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses identified the terms including immune effector process, leukocyte migration, regulation of the inflammatory response, Staphylococcus aureus infection, and cytokine-cytokine receptor interaction. protein-protein interaction (PPI) network analysis and real-time quantitative PCR (RT-qPCR) showed that 7 genes might be crucial in CRSwNP pathogenesis. Repurposing drug candidates (Alfadolone, Hydralazine, SC-560, Iopamidol, Iloprost, etc) for CRSwNP treatment were identified from the Connectivity Map (CMap) database. Our results suggest multiple molecular mechanisms, diagnostic biomarkers, potential therapeutic targets, and new repurposing drug candidates for CRSwNP treatment. |
format | Online Article Text |
id | pubmed-7884819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78848192021-02-17 Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps Hao, Yun Zhao, Yan Wang, Ping Du, Kun Li, Ying Yang, Zhen Wang, Xiangdong Zhang, Luo Front Genet Genetics Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic sinonasal inflammatory disease with limited treatment options of corticosteroids, sinus surgery, or both. CRSwNP is frequently associated with allergic rhinitis and asthma, but the molecular mechanisms underlying CRSwNP inflammation are not completely understood. We obtained four gene expression profiles (GSE136825, GSE36830, GSE23552, and GSE72713) from four Gene Expression Omnibus (GEO), which collectively included 65 nasal polyp samples from CRSwNP patients and 54 nasal mucosal samples from healthy controls. Using an integrated analysis approach, we identified 76 co-differentially expressed genes (co-DEGs, including 45 upregulated and 31 downregulated) in CRSwNP patients compared with the healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses identified the terms including immune effector process, leukocyte migration, regulation of the inflammatory response, Staphylococcus aureus infection, and cytokine-cytokine receptor interaction. protein-protein interaction (PPI) network analysis and real-time quantitative PCR (RT-qPCR) showed that 7 genes might be crucial in CRSwNP pathogenesis. Repurposing drug candidates (Alfadolone, Hydralazine, SC-560, Iopamidol, Iloprost, etc) for CRSwNP treatment were identified from the Connectivity Map (CMap) database. Our results suggest multiple molecular mechanisms, diagnostic biomarkers, potential therapeutic targets, and new repurposing drug candidates for CRSwNP treatment. Frontiers Media S.A. 2021-02-02 /pmc/articles/PMC7884819/ /pubmed/33603773 http://dx.doi.org/10.3389/fgene.2021.609754 Text en Copyright © 2021 Hao, Zhao, Wang, Du, Li, Yang, Wang and Zhang. http://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 | Genetics Hao, Yun Zhao, Yan Wang, Ping Du, Kun Li, Ying Yang, Zhen Wang, Xiangdong Zhang, Luo Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title | Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title_full | Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title_fullStr | Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title_full_unstemmed | Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title_short | Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps |
title_sort | transcriptomic signatures and functional network analysis of chronic rhinosinusitis with nasal polyps |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884819/ https://www.ncbi.nlm.nih.gov/pubmed/33603773 http://dx.doi.org/10.3389/fgene.2021.609754 |
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