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鼻息肉型慢性鼻-鼻窦炎中自噬相关基因的鉴定与验证及其与疾病严重程度关系的探索

Identification and validation of autophagy-related genes and exploration of their relationship with disease severity in chronic rhinosinusitis with nasal polyps.

作者信息

Zi Jiajia, Yu Longgang, Wang Lin, Yan Xudong, Li Danyang, Du Xiaoyun, Zhang Jisheng, Jiang Yan

机构信息

Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

Asia Pac Allergy. 2024 Dec;14(4):162-173. doi: 10.5415/apallergy.0000000000000159. Epub 2024 Sep 26.

Abstract

BACKGROUND

Chronic rhinosinusitis with nasal polyps (CRSwNP) pathogenesis might be impacted by autophagy. Nevertheless, autophagy-related gene utilization as a disease indicator about the course of CRSwNP has yet to be elucidated.

OBJECTIVE

This investigation aimed at discovering pivotal molecules related to autophagy to identify potential treatment targets for CRSwNP.

METHODS

The dataset GSE136825 was obtained via the Gene Expression Omnibus (GEO) database, and afterward, differentially expressed genes (DEGs) analysis linked to autophagy was employed via the R software. A comprehensive examination of autophagy-related DEGs was conducted using functional analytic techniques. The utilization of the protein-protein interaction (PPI) network facilitated hub gene identification. Quantitative real-time polymerase chain reaction (qRT-PCR), western blot, and immunohistochemistry staining techniques were performed to validate the expression levels of the central genes in clinical samples. Correlation analysis was performed to examine the correlation between hub genes and disease severity parameters.

RESULTS

A comprehensive set of 86 autophagy-related DEGs were discovered. The functional enrichment analysis of autophagy-related DEGs revealed the identification of enrichment terms involved with the autophagy process. The results obtained from the PPI analysis suggest that there was interaction among the autophagy-related genes. The qRT-PCR, immunohistochemistry staining, and western blot techniques yielded results, demonstrated that , , and expression levels in CRSwNP agreed with the bioinformatics analysis of the dataset. Furthermore, a favorable association between , , and expression levels with illness severity indicators was found.

CONCLUSION

Bioinformatics analysis yielded 86 autophagy-related DEGs in CRSwNP. , , and regulation of autophagy has been confirmed in CRSwNP progression and pathogenesis.

摘要

背景

伴有鼻息肉的慢性鼻-鼻窦炎(CRSwNP)的发病机制可能受自噬影响。然而,自噬相关基因作为CRSwNP病程的疾病指标的应用尚未阐明。

目的

本研究旨在发现与自噬相关的关键分子,以确定CRSwNP的潜在治疗靶点。

方法

通过基因表达综合数据库(GEO)获得数据集GSE136825,随后使用R软件进行与自噬相关的差异表达基因(DEG)分析。采用功能分析技术对自噬相关的DEG进行全面检查。利用蛋白质-蛋白质相互作用(PPI)网络有助于鉴定枢纽基因。进行定量实时聚合酶链反应(qRT-PCR)、蛋白质免疫印迹和免疫组织化学染色技术,以验证临床样本中核心基因的表达水平。进行相关性分析以检查枢纽基因与疾病严重程度参数之间的相关性。

结果

共发现86个与自噬相关的DEG。自噬相关DEG的功能富集分析揭示了与自噬过程相关的富集术语的鉴定。PPI分析结果表明自噬相关基因之间存在相互作用。qRT-PCR、免疫组织化学染色和蛋白质免疫印迹技术的结果表明,CRSwNP中的 、 和 表达水平与数据集的生物信息学分析结果一致。此外,发现 、 和 表达水平与疾病严重程度指标之间存在良好关联。

结论

生物信息学分析在CRSwNP中产生了86个与自噬相关的DEG。已证实在CRSwNP进展和发病机制中 、 和 对自噬有调节作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc8d/11608634/49c1faae4fde/pa9-14-162-g001.jpg

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