首页|期刊导航|中医学报|基于生物信息学探讨重症哮喘气道重塑差异表达基因及中药预测

基于生物信息学探讨重症哮喘气道重塑差异表达基因及中药预测OA

Bioinformatics-Based Investigation of Differentially Expressed Genes in Airway Remodeling of Severe Asthma and TCM Application Prediction

中文摘要英文摘要

目的:基于生物信息学探讨重症哮喘(severe asthma,SA)气道重塑的关键基因,并映射数据库预测中药,为临床治疗SA提供思路.方法:通过基因表达综合数据库(gene expression omnibus,GEO)获取SA相关数据集,Genecards数据库获取气道重塑基因,鉴定获得SA气道重塑的相关基因,并对相关基因进行功能富集分析.利用机器学习方法进一步筛选SA气道重塑的关键差异表达基因.采用GEO内部数据集和外部数据集进行ROC验证,利用Coremine数据库与获得的关键基因相映射,获得作用于SA气道重塑的潜在中药.结果:本研究获得SA差异基因共53 个,其中上调基因29 个,下调基因24 个;获得12 个SA气道重塑相关基因,其中筛选出6 个特征基因,共预测中药120 味潜在作用于SA气道重塑,以清热药、补虚药和化痰止咳平喘药居多.分子对接显示,特征基因与高频中药的核心成分结合良好.结论:血管内皮生长因子A、原纤维蛋白、CXADR、角蛋白、白细胞介素-1 受体2 和白细胞介素-18 受体1 可能是SA气道重塑治疗的潜在生物标志物,推测矮地茶、半枝莲、女贞子、白果等中药可能是SA气道重塑的潜在治疗药物.

Objective:To explore the key genes involved in airway remodeling in severe asthma(SA)based on bioinformatics and to map database-predicted traditional Chinese medicines,providing insights for clinical treatment of SA.Methods:SA-related datasets were ob-tained from the GEO database,and airway remodeling genes were retrieved from the Genecards database.Genes associated with SA airway remodeling were identified,and functional enrichment analysis was performed on these genes.Machine learning methods were then used to further screen for key differentially expressed genes in SA airway remodeling.ROC validation was conducted using both internal and exter-nal GEO datasets.Potential traditional Chinese medicines targeting SA airway remodeling were identified by mapping the key genes with the Coremine database.Results:This study identified a total of 53 differentially expressed genes in severe asthma(SA),including 29 up-regulated genes and 24 downregulated genes.Twelve genes related to airway remodeling in SA were obtained from which six characteristic genes were selected.A total of 120 traditional Chinese medicines(TCMs)were predicted to potentially act on SA airway remodeling,mainly including Heat-clearing drugs,tonifying drugs as well as Phlegm-resolving and cough-relieving bronchodilators.Molecular doc-king showed that the characteristic genes had good binding with the core components of high-frequency TCMs.Conclusion:Vascular en-dothelial growth factor A,fibronectin,CXADR,keratin,interleukin-1 receptor type 2,and interleukin-18 receptor 1 may be potential bi-omarkers for the treatment of airway remodeling in SA.It is speculated that TCMs such as Aidicha(Ardisia herb),Banzhilian(Scutellaria barbata),Nzhenzi(Ligustrum lucidum)and Baiguo(Ginkgo seed)may be potential therapeutic drugs for SA airway remodeling.

ZHANG Xinxin;PENG Xiaoyun;LIANG Huiqiu;LUO Zhiyan;WEN Wujin;JIANG Yong;LIAO Gang

Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104||The First Affiliated Hospital to Guangzhou University of Chinese Medicine,Guangzhou Guangdong China 510405||Lingnan Medical Research Center of Guangzhou University of Chinese Medicine,Guangzhou Guangdong China 510405||The First Clinical Medical College of Guangzhou University of Chinese medicine,Guangzhou Guangdong China 510405||Guangdong Clinical Research Academy of Chinese Medicine,Guangzhou Guangdong China 510405Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104||The First Affiliated Hospital to Guangzhou University of Chinese Medicine,Guangzhou Guangdong China 510405||Lingnan Medical Research Center of Guangzhou University of Chinese Medicine,Guangzhou Guangdong China 510405||The First Clinical Medical College of Guangzhou University of Chinese medicine,Guangzhou Guangdong China 510405||Guangdong Clinical Research Academy of Chinese Medicine,Guangzhou Guangdong China 510405Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104Shenzhen Hospital of Integrative Medicine,Shenzhen Guangdong China 518104

医药卫生

重症哮喘气道重塑差异表达基因生物信息学中药预测分子对接

severe asthmaairway remodelingdifferentially expressed genebioinformaticsTCM application predictionmolecular doc-king

《中医学报》 2026 (1)

38-47,10

广东省自然科学基金面上项目(2024A1515012183)广东省中医药局课题项目(20241265)广东省重点科室(中西医协同科室)建设项目深圳市"医疗卫生三名工程"建设项目(SZZYSM202206013)深圳市宝安区中医药临床研究专项课题项目(2023ZYYLCZX-9,2023ZYYLCZX-11)深圳市宝安区医疗卫生科研项目(2023JD124,2023JD107,2023JD105,2023JD110,2024JD289,2024JD293,2024JD316)深圳市宝安区医学会医疗卫生科研项目(BAYXH2024011)深圳市中西医结合医院院内课题项目(YJ-2023-106,YJ-2023-104,YJ-2023-115)

10.16368/j.issn.1674-8999.2026.01.007

评论