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探讨哮喘和SARS-CoV-2的相互作用关系的生物信息学分析

A Bioinformatics Analysis of the Interaction BetweenAsthma and SARS-CoV-2
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摘要 目的采用生物信息学方法探讨哮喘和SARS-CoV-2感染的相互作用关系及发生的潜在机制,为哮喘和新冠肺炎(COVID-19)进一步治疗提供新线索。方法本文使用的研究数据来源于GEO数据库。利用R语言和Perl语言对数据进行预处理,筛选差异表达基因(DEGs),并获得GO功能富集分析、KEGG、Reactome、WikiPathways和BioCarta通路富集分析。通过Cytoscape软件获得蛋白质相互作用(PPI)网络分析可视化结果。使用RegNetwork数据库筛选与DEGs相互作用的转录因子(TF),再利用NetworkAnalyst构建miRNA-TF-mRNA共调控网络。最后,从DSigDB数据库筛选治疗药物。结果获得哮喘和SARS-CoV-2感染的数据集并且筛选得到25个受两者影响的重叠DEGs。GO功能富集分析和通路富集分析显示,DEGs参与病毒蛋白与细胞因子和细胞因子受体、补体和凝血级联反应通路。miRNA-TF-mRNA共调控网络表明关键基因与相关miRNA和TF之间复杂的调控关系。筛选到作用于DEGs的可能药物分子,包括雷洛昔芬、他莫昔芬和孕酮等。结论在数据分析的基础上,找出哮喘与SARS-CoV-2感染的共同切入点,为分析SARS-CoV-2在肺部疾病中的作用提供了新思路。 Objective To explore the interaction mechanism between asthma and SARS-CoV-2 infection by bioinformatics methods,and to provide new knowledge for the optimized treatment of asthma and COVID-19.Methods GEO database was used for the current study.The data were preprocessed by R and Perl,and the differentially expressed genes(DEGs)were screened.GO functional enrichment analysis,KEGG,Reactome,WikiPathways and BioCarta pathway enrichment analysis were conducted.Protein Interaction(PPI)network analysis visualization results were obtained using Cytoscape software.RegNetwork database was used to screen the transcription factors(TF)interacting with DEGs,and NetworkAnalyst was used to construct the miRNA-TF-mRNA co-regulation network.Therapeutic drugs were screened from DSigDB database.Results Datasets of asthma and SARS-CoV-2 infection were obtained and 25 overlapping DEGs affected by both were screened.GO functional enrichment analysis and pathway enrichment analysis showed that DEGs was involved in the viral protein and cytokine and cytokine receptor,complement and coagulation cascades.The co-regulatory network of miRNA-TF mRNA indicated a complex regulatory relationships between key genes and related miRNAs and TF.Potential drug molecules acting on DEGs were screened,including raloxifene,tamoxifen and progesterone.Conclusion Based on data analysis,this study identifies the common entry point of asthma and SARS-CoV-2 infection,and provides a new direction for the analysis of the role of SARS-CoV-2 in pulmonary diseases.
作者 李婧铱 李宾 訾晓琳 李晓霞 赵炜明 LI Jingyi;LI Bin;ZI Xiaolin;LI Xiaoxia;ZHAO Weiming(Qiqihar Medical University,Qiqihar 161006,China;The department of Clinical Laboratory the 4th Affiliated Hospital of Harbin Medical University,Harbin 150001,China;The department of oncology,the 4th AffiliatedHospital of HarbinMedical University,Harbin 150001,China;Heilongjiang University of Chinese Medicine,Harbin 150040,China)
出处 《标记免疫分析与临床》 CAS 2022年第10期1729-1736,共8页 Labeled Immunoassays and Clinical Medicine
基金 国家自然科学基金项目(编号:81772829)。
关键词 SARS-CoV-2 哮喘 差异表达基因 蛋白-蛋白互作 药物分子 SARS-CoV-2 Asthma Differentially expressed genes Protein-proteininteractions Drug molecule
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