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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...

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Autores principales: Hao, Yun, Zhao, Yan, Wang, Ping, Du, Kun, Li, Ying, Yang, Zhen, Wang, Xiangdong, Zhang, Luo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
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.
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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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