Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways
BackgroundAllergic 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 lac...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1048195/full |
| _version_ | 1797950855191724032 |
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| author | Mingming Wang Li Gong Yang Luo Shaojuan He Xianxing Zhang Xinyu Xie Xuezhong Li Xin Feng |
| author_facet | Mingming Wang Li Gong Yang Luo Shaojuan He Xianxing Zhang Xinyu Xie Xuezhong Li Xin Feng |
| author_sort | Mingming Wang |
| collection | DOAJ |
| description | BackgroundAllergic 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.PurposeTo 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.MethodsBiomarkers 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.ResultsValidation 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.ConclusionCST1 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. |
| first_indexed | 2024-04-10T22:22:47Z |
| format | Article |
| id | doaj.art-1f7470272c2e4ce895b4ac4dff202764 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-10T22:22:47Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-1f7470272c2e4ce895b4ac4dff2027642023-01-17T14:24:17ZengFrontiers Media S.A.Frontiers in Immunology1664-32242023-01-011410.3389/fimmu.2023.10481951048195Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airwaysMingming WangLi GongYang LuoShaojuan HeXianxing ZhangXinyu XieXuezhong LiXin FengBackgroundAllergic 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.PurposeTo 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.MethodsBiomarkers 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.ResultsValidation 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.ConclusionCST1 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.https://www.frontiersin.org/articles/10.3389/fimmu.2023.1048195/fullCST1unified airwaysasthmaallergic rhinitistranscriptomic analysis |
| spellingShingle | Mingming Wang Li Gong Yang Luo Shaojuan He Xianxing Zhang Xinyu Xie Xuezhong Li Xin Feng Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways Frontiers in Immunology CST1 unified airways asthma allergic rhinitis transcriptomic analysis |
| title | Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways |
| title_full | Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways |
| title_fullStr | Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways |
| title_full_unstemmed | Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways |
| title_short | Transcriptomic analysis of asthma and allergic rhinitis reveals CST1 as a biomarker of unified airways |
| title_sort | transcriptomic analysis of asthma and allergic rhinitis reveals cst1 as a biomarker of unified airways |
| topic | CST1 unified airways asthma allergic rhinitis transcriptomic analysis |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1048195/full |
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