期刊
FRONTIERS IN IMMUNOLOGY
卷 13, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.1047930
关键词
chronic rhinosinusitis with nasal polyps; M2 macrophage; immune infiltration; differentially expressed genes; hub genes; bioinformatics
类别
资金
- National Natural Science Foundation of China [82071014, 82271137, 81870700, 82000951]
- Shanghai Natural Science Foundation of China [16ZR1426100]
- Science and Technology Innovation Action Plan of Science and Technology Commission of Shanghai Municipality [19411950700]
- Clinical Science and Technology Innovation Project of Shanghai Shen-Kang Hospital Management Center~ [SHDC12020129]
- Key Laboratory Funding of Science and Technology Commission of Shanghai Municipality [18DZ2260200]
This study identified 92 differentially expressed genes associated with M2 macrophages in CRSwNP, primarily enriched in immune responses and extracellular matrix structure. A total of 18 hub genes related to M2 macrophages were identified through PPI network analysis, which may play pivotal roles in the pathogenesis of CRSwNP. AIF1, C1QA, C1QB, C3AR1, CCR1, CD163, CD4, CD53, CD86, CSF1R, CYBB, FCER1G, FCGR3A, IL10RA, ITGB2, LAPTM5, PLEK, TYROBP were confirmed as potential M2 macrophage-related biomarkers for CRSwNP after verification. These findings provide new insights into the hub genes and mechanisms involved in the pathogenesis of CRSwNP.
BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a common sinonasal inflammatory disorder with high heterogeneity. Increasing evidence have indicated that the infiltration of macrophages especially M2 macrophages play pivotal roles in the pathogenesis of CRSwNP, but the underlying mechanisms remain undetermined. This study sought to identify potential biomarkers related to M2 macrophages in CRSwNP. MethodsThe expression datasets of GSE136825 and GSE179265 were download from Gene Expression Omnibus (GEO) database and merged. Then, CIBERSORT and weighted gene co-expression network analysis (WGCNA) algorithms were applied to identify M2 macrophage-related gene modules. Thereafter, differentially expressed genes (DEGs) related to M2 macrophages were selected to perform functional enrichment analyses. A protein-protein interaction (PPI) network was built to identify hub genes and quantitative real-time reverse transcriptions PCR was used to verify the bioinformatics results. ResultsA total of 92 DEGs associated with M2 macrophages were identified for further analysis. The results of Gene ontology (GO) and Kyoto Encyclopedia of genes and genomes (KEGG) analyses illustrated that M2 macrophage-associated DEGs primarily enriched in immune responses and extracellular matrix structure. PPI network analysis identified 18 hub genes related to M2 macrophages that might be pivotal in the pathogenesis of CRSwNP. After verification, AIF1, C1QA, C1QB, C3AR1, CCR1, CD163, CD4, CD53, CD86, CSF1R, CYBB, FCER1G, FCGR3A, IL10RA, ITGB2, LAPTM5, PLEK, TYROBP were identified as potential M2 macrophage-related biomarkers for CRSwNP. ConclusionThese findings yield new insights into the hub genes and mechanisms related to M2 macrophages in the pathogenesis of CRSwNP. Further studies of these hub genes would help better understand the disease progression and identify potential treatment targets.
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