Liu Lili, Yang Cheng, Li Yan, Zhou Hao, Shi Mei, Shi Tiantian, Shi Weibing
The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Biomol Biomed. 2025 Aug 5;25(9):2092-2113. doi: 10.17305/bb.2025.11334.
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.
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,然而驱动这些过程的具体分子机制仍仅被部分理解。本研究旨在更好地了解JAK2/STAT3/EPAS1轴如何调节哮喘中的炎症和铁死亡。从基因表达综合数据库(GEO)中检索哮喘相关数据集,并鉴定差异表达基因(DEG)。使用加权基因共表达网络分析(WGCNA)检测与哮喘相关的基因模块。然后通过将WGCNA衍生的基因与铁死亡相关基因相交构建蛋白质-蛋白质相互作用(PPI)网络,以鉴定关键枢纽基因。使用受试者工作特征(ROC)曲线分析评估这些铁死亡相关基因的诊断价值。此外,使用免疫细胞AI数据库分析哮喘患者中与铁死亡相关基因有关的免疫细胞浸润情况。进行细胞水平的功能实验以评估关键基因对细胞活力、炎症和铁死亡的影响。生物信息学分析鉴定出1698个与哮喘相关的DEG。鉴定出五个具有临床诊断价值的枢纽基因——内皮PAS结构域蛋白1(EPAS1)、STAT3、葡萄糖-6-磷酸脱氢酶(G6PD)、细胞色素b-245β链(CYBB)和胱硫醚β合酶(CBS)。免疫分析显示EPAS1与哮喘中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表达促进铁死亡和炎症反应。值得注意的是,这些发现突出了JAK2/STAT3/EPAS1轴作为哮喘潜在治疗靶点的作用,为其分子机制提供了新见解,并鉴定出用于诊断和治疗的新型生物标志物。