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DOI 10.3389/fgene.2021.609754

Медицинская библиотека · Frontiers in genetics · 2021

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

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Аннотация

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.

Для цитирования: 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.. Frontiers in genetics. 2021. DOI: 10.3389/fgene.2021.609754.
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