Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission (NHC) Key Laboratory of Otorhinolaryngology, Shandong University, Jinan, Shandong, China.
Front Immunol. 2023 Jan 17;14:1048195. doi: 10.3389/fimmu.2023.1048195. eCollection 2023.
Allergic rhinitis (AR) is an important risk factor for the development of asthma. The "unified airway" theory considers the upper and lower airways as a morphological and functional whole. However, studies exploring biomarkers linking the upper and lower airways in allergic disease are lacking, which may provide insight into the mechanisms underlying AR comorbid asthma.
To integrate bioinformatics techniques to explore biomarkers in airway allergic diseases, and to provide a molecular etiology profile for preventing the development of asthma in AR patients.
Biomarkers were screened by identifying key genes common between AR and asthma through WGCNA and differential gene analysis. GO and KEGG analyses were performed using DAVID. Immuno-infiltration analysis was performed by CIBERSORTx. The predictive value of CST1 to distinguish Th2-high asthma was determined by ROC curves. GSEA was used to analyze the signaling pathways involved in CST1. TargetScan and miRNet were combined with GSE142237 to construct ceRNA network. CMap was used to explore potential therapeutic drugs.
Validation of datasets showed that CST1 was the only gene that was up-regulated in both upper and lower airways in patients with AR and asthma, and correlation heatmaps showed that CST1 was the gene with the highest sum of correlation coefficients. GO and KEGG analysis demonstrated that the lower airways of AR patients were mainly involved in inflammatory and immune responses, similar to asthma. Immune infiltration showed that CST1 was mainly positively correlated with activated CD4 memory T cells. According to the ROC curve, CST1 showed excellent diagnostic efficiency for Th2-high asthma. GSEA indicated that CST1 was involved in the FcϵRI signaling pathway and O-glycan biosynthesis. A ceRNA network including the lncRNAs KCNQ1OT1 and NEAT1 was constructed. Four drugs, including verrucarin-A, had the potential to prevent the development of asthma in AR patients. In addition, corticosteroids were found to downregulate CST1 expression.
CST1 plays a key role in the development of AR comorbid asthma and may be a biomarker for airway allergic diseases. Targeted treatment of CST1 has the potential to prevent the development of asthma in AR patients and deserves further study.
过敏性鼻炎(AR)是哮喘发展的重要危险因素。“统一气道”理论认为上下气道为形态和功能上的整体。然而,探索过敏性疾病中连接上下气道的生物标志物的研究还很缺乏,这可能为 AR 合并哮喘的发病机制提供新的见解。
利用生物信息学技术探索气道过敏性疾病的生物标志物,为预防 AR 患者哮喘的发生提供分子病因谱。
通过 WGCNA 和差异基因分析,确定 AR 和哮喘共有的关键基因,筛选生物标志物。利用 DAVID 进行 GO 和 KEGG 分析。通过 CIBERSORTx 进行免疫浸润分析。通过 ROC 曲线确定 CST1 区分 Th2 高哮喘的预测价值。使用 GSEA 分析 CST1 涉及的信号通路。通过结合 TargetScan 和 miRNet 与 GSE142237 构建 ceRNA 网络。使用 CMap 探索潜在的治疗药物。
验证数据集显示,CST1 是 AR 和哮喘患者上、下气道均上调的唯一基因,相关热图显示 CST1 是相关系数总和最高的基因。GO 和 KEGG 分析表明,AR 患者下气道主要参与炎症和免疫反应,与哮喘相似。免疫浸润显示 CST1 主要与激活的 CD4 记忆 T 细胞呈正相关。根据 ROC 曲线,CST1 对 Th2 高哮喘具有优异的诊断效率。GSEA 表明 CST1 参与 FcϵRI 信号通路和 O-聚糖生物合成。构建了包括 lncRNA KCNQ1OT1 和 NEAT1 的 ceRNA 网络。有 4 种药物,包括 verrucarin-A,具有预防 AR 患者哮喘发展的潜力。此外,皮质类固醇被发现下调 CST1 的表达。
CST1 在 AR 合并哮喘的发生发展中起关键作用,可能是气道过敏性疾病的生物标志物。靶向治疗 CST1 有可能预防 AR 患者哮喘的发生,值得进一步研究。