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黄龙止咳颗粒治疗哮喘的网络药理学研究及实验验证
作者姓名:王璇  钱桂英  凌晓颖  严花  汪受传  单进军
作者单位:1.南京中医药大学中医儿科学研究所, 江苏省儿童呼吸疾病(中医药)重点实验室, 江苏 南京 210023
基金项目:江苏省“六大人才高峰”高层次人才选拔培养资助项目YY-022江苏高校优势学科(中医学)建设工程资助项目PAPD苏州科技局指导性项目SYSD2019020常熟市卫健委资助性重点项目csws201932
摘    要:  目的  结合网络药理学方法和实验验证探讨黄龙止咳颗粒治疗哮喘的作用靶点及潜在机制。  方法  借助TCMSP、TCMID、Swiss Target Prediction等数据库检索黄龙止咳颗粒的化学成分和作用靶点。通过GeneCards、OMIM、Disgenet、Drugbank数据库筛选出哮喘的疾病靶点。使用Cytoscape软件构建“药物-成分-靶点-疾病”的网络图和潜在靶点的相互作用关系, 通过富集分析预测作用机制。构建哮喘小鼠模型, 通过病理染色, ELISA检测, qPCR及Western blot来验证网络药理学富集分析结果。  结果  共获得黄龙止咳颗粒中175种活性成分、1 026个药物靶点, 哮喘900个疾病靶点, 得到药物-疾病共同靶点153个, GO富集分析共得到条目1 967个, KEGG通路富集筛选出包括TNF信号通路在内的共计84条信号通路。动物实验表明, 黄龙止咳颗粒能有效改善哮喘小鼠的气道炎症, 并通过影响TNF信号通路从而抑制MAPK和NF-κB信号通路。  结论  该研究初步揭示了黄龙止咳颗粒治疗哮喘的作用机制, 为临床用药和后续研究提供参考依据。 

关 键 词:黄龙止咳颗粒    哮喘    网络药理学    分子机制
收稿时间:2021-11-17

The Network Pharmacological Study and Experimental Verification of Huanglong Antitussive Granule in the Treatment of Asthma
Institution:1.Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing 210023, China2.Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou 215500, China3.Jiangsu Engineering Research Center for Efficient Delivery System of TCM, Nanjing 210023, China
Abstract:  OBJECTIVE  Combining network pharmacology methods and experimental verification to explore the target and potential mechanism of Huanglong Antitussive Granule in treating asthma.  METHODS  With the help of TCMSP, TCMID, Swiss Target Prediction and other databases, the chemical components and targets of Huanglong Antitussive Granule are searched. Through GeneCards, OMIM, Disgenet, Drugbank database to screen out the disease targets of asthma. Use Cytoscape software to construct a network diagram of "drug-component-target-disease" and the interaction relationship between potential targets, and predict the mechanism of action through enrichment analysis. Mice model of asthma was constructed, and the results of network pharmacology enrichment analysis were verified by pathological staining, Elisa detection, q-PCR and Western Blot.  RESULTS  A total of 175 active ingredients, 1 026 drug targets, 900 disease targets for asthma and 153 common drug-disease targets were obtained in Huanglong Antitussive Granule. A total of 1 967 entries were obtained by GO enrichment analysis, and KEGG pathway enrichment screened out a total of 84 signaling pathways including TNF signaling pathways. Animal experiments show that Huanglong Antitussive Granule can effectively improve airway inflammation in asthmatic mice, and inhibit the MAPK and NF-κB signaling pathways by affecting the TNF signaling pathway.  CONCLUSION  This study initially revealed the mechanism of action of Huanglong Antitussive Granule in treating asthma, providing a reference for clinical medication and follow-up research. 
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