Suppr超能文献

影响伴鼻息肉慢性鼻窦炎发病机制的关键候选基因的生物信息学分析与验证

Bioinformatics analysis and verification of key candidate genes influencing the pathogenesis of chronic rhinosinusitis with nasal polyps.

作者信息

Chen Gang, Hao Hong, Wang Lin-E

机构信息

Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Beijing Friendship Hospital, Capital Medical University Beijing 100050, China.

Department of Otorhinolaryngology Head and Neck Surgery, The 401 Hospital of The China Nuclear Industry Beijing 102413, China.

出版信息

Am J Transl Res. 2023 Feb 15;15(2):710-728. eCollection 2023.

Abstract

OBJECTIVES

Chronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) is a prominent public health issue. Furthermore, the prognosis of eosinophilic CRSwNP is poor, with a high recurrence rate. The underlying molecular mechanisms of eosinophilic CRSwNP remain unclear. Therefore, in this study, we sought to determine the crucial genes underlying eosinophil infiltration in eosinophilic CRSwNP pathogenesis.

METHODS

We used the Gene Expression Omnibus database (GEO) (GSE36830 and GSE23552 datasets) to mine gene expression profiles of CRSwNP patients and normal subjects. Differentially expressed genes (DEGs) between normal and CRSwNP tissues were identified and subjected to the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses. Co-expression networks were established using a weighted gene co-expression network analysis (WGCNA) and single-sample gene set enrichment analysis (GSEA). Protein-protein interaction networks were developed to detect functional protein modules. Based on the common DEGs, candidate miRNAs and related lncRNAs were predicted using the mirTarBase and StarBase databases. Finally, we generated immune cell subtypes of CRSwNP.

RESULTS

A total of 146 DEGs were identified. Of these, 131 genes were upregulated, whereas 15 were downregulated. GO analysis indicated that DEGs primarily participated in leukocyte chemotaxis and migration as well as cell chemotaxis. KEGG pathway analysis suggested that DEGs participated in the interactions between cytokines and viral proteins, osteoclast differentiation, and cytokine-cytokine receptor interactions. Real-time quantitative polymerase chain reaction analysis showed that and expression levels were significantly upregulated in nasal polyps, whereas expression levels were significantly downregulated.

CONCLUSIONS

The candidate genes identified in this study may influence the activation and accumulation of eosinophils, cell chemotaxis, and inflammatory responses, thereby potentially representing molecular targets for future studies of CRSwNP.

摘要

目的

伴鼻息肉的慢性鼻-鼻窦炎(CRSwNP)是一个突出的公共卫生问题。此外,嗜酸性粒细胞性CRSwNP的预后较差,复发率高。嗜酸性粒细胞性CRSwNP的潜在分子机制仍不清楚。因此,在本研究中,我们试图确定嗜酸性粒细胞性CRSwNP发病机制中嗜酸性粒细胞浸润的关键基因。

方法

我们使用基因表达综合数据库(GEO)(GSE36830和GSE23552数据集)挖掘CRSwNP患者和正常受试者的基因表达谱。鉴定正常组织和CRSwNP组织之间的差异表达基因(DEGs),并进行京都基因与基因组百科全书(KEGG)和基因本体论(GO)富集分析。使用加权基因共表达网络分析(WGCNA)和单样本基因集富集分析(GSEA)建立共表达网络。开发蛋白质-蛋白质相互作用网络以检测功能性蛋白质模块。基于共同的DEGs,使用mirTarBase和StarBase数据库预测候选miRNA和相关lncRNA。最后,我们生成了CRSwNP的免疫细胞亚型。

结果

共鉴定出146个DEGs。其中,131个基因上调,15个基因下调。GO分析表明,DEGs主要参与白细胞趋化和迁移以及细胞趋化。KEGG通路分析表明,DEGs参与细胞因子与病毒蛋白之间的相互作用、破骨细胞分化以及细胞因子-细胞因子受体相互作用。实时定量聚合酶链反应分析表明,[具体基因名称1]和[具体基因名称2]的表达水平在鼻息肉中显著上调,而[具体基因名称3]的表达水平显著下调。

结论

本研究中鉴定出的候选基因可能影响嗜酸性粒细胞的激活和聚集、细胞趋化和炎症反应,从而可能成为未来CRSwNP研究的分子靶点。

相似文献

本文引用的文献

7

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验