EPAS1通过JAK2/ stat3介导的铁下垂和炎症放大哮喘发病机制。

0 MEDICINE, RESEARCH & EXPERIMENTAL
Lili Liu, Cheng Yang, Yan Li, Hao Zhou, Mei Shi, Tiantian Shi, Weibing Shi
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引用次数: 0

摘要

哮喘是一种以气道高反应性和炎症为特征的慢性呼吸系统疾病,但人们对驱动这些过程的具体分子机制仍只有部分了解。本研究旨在更好地了解 JAK2/STAT3/EPAS1 轴如何调控哮喘中的炎症和铁变态反应。研究人员从基因表达总库(GEO)数据库中检索了与哮喘相关的数据集,并确定了差异表达基因(DEGs)。加权基因共表达网络分析(WGCNA)用于检测与哮喘相关的基因模块。然后,通过将 WGCNA 衍生的基因与铁中毒相关基因交叉,构建了一个蛋白-蛋白相互作用(PPI)网络,以确定关键的枢纽基因。利用接收者操作特征曲线(ROC)分析评估了这些铁蛋白沉积相关基因的诊断价值。此外,还利用免疫细胞 AI 数据库分析了哮喘患者的免疫细胞浸润与铁中毒相关基因的关系。在细胞水平上进行了功能实验,以评估关键基因对细胞活力、炎症和铁蛋白沉积的影响。生物信息学分析确定了 1,698 个与哮喘有关的 DEGs。其中确定了五个具有临床诊断价值的中心基因--内皮 PAS 域蛋白 1 (EPAS1)、STAT3、G6PD、CYBB 和 CBS。免疫分析表明,EPAS1 与哮喘的免疫细胞浸润密切相关。功能实验进一步证明,JAK2/STAT3 轴通过上调 EPAS1 的表达促进了铁变态反应和炎症反应。值得注意的是,这些发现强调了 JAK2/STAT3/EPAS1 轴是哮喘的潜在治疗靶点,为哮喘的分子机制提供了新的见解,并为诊断和治疗确定了新的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EPAS1 amplifies asthma pathogenesis through JAK2/STAT3-mediated ferroptosis and inflammation.

Asthma is a chronic respiratory disorder marked by airway hyperresponsiveness and inflammation, yet the specific molecular mechanisms driving these processes remain only partially understood. This study aims to better understand how the JAK2/STAT3/EPAS1 axis regulates inflammation and ferroptosis in asthma. Asthma-related datasets were retrieved from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified. Weighted Gene Co-expression Network Analysis (WGCNA) was used to detect gene modules associated with asthma. A protein-protein interaction (PPI) network was then constructed by intersecting WGCNA-derived genes with ferroptosis-related genes to identify key hub genes. The diagnostic value of these ferroptosis-associated genes was evaluated using Receiver Operating Characteristic (ROC) curve analysis. Additionally, immune cell infiltration in asthma patients was analyzed using the Immune Cell AI database in relation to ferroptosis-related genes. Functional experiments at the cellular level were conducted to assess the effects of key genes on cell viability, inflammation, and ferroptosis. Bioinformatics analysis identified 1,698 DEGs linked to asthma. Five hub genes with clinical diagnostic value- Endothelial PAS Domain Protein 1 (EPAS1), STAT3, G6PD, CYBB, and CBS-were identified. Immune analysis revealed that EPAS1 is closely associated with immune cell infiltration in asthma. Functional experiments further demonstrated that the JAK2/STAT3 axis promotes ferroptosis and inflammatory responses by upregulating EPAS1 expression. Notably, these findings highlight the JAK2/STAT3/EPAS1 axis as a potential therapeutic target for asthma, offering new insights into its molecular mechanisms and identifying novel biomarkers for diagnosis and treatment.

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