Integrated Phytochemical Analysis Based on UPLC-Q-TOF-MS/MS, Network Pharmacology, and Experiment Verification to Explore the Potential Mechanism ofPlatycodon grandiflorumfor Chronic Bronchitis

被引:35
作者
Deng, Yaling [1 ]
Ren, Hongmin [1 ]
Ye, Xianwen [1 ]
Xia, Lanting [1 ]
Liu, Minmin [1 ]
Liu, Ying [1 ]
Yang, Ming [2 ]
Yang, Songhong [1 ]
Ye, Xide [1 ]
Zhang, Jinlian [1 ]
机构
[1] Jiangxi Univ Tradit Chinese Med, Pharm Coll, Nanchang, Jiangxi, Peoples R China
[2] Jiangxi Univ Tradit Chinese Med, Minist Educ, Key Lab Modern Preparat Tradit Chinese Med, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
chemical ingredient; chronic bronchitis; experiment verification; mechanism of action; network pharmacology; Platycodon grandiflorum; WEB-SERVER;
D O I
10.3389/fphar.2020.564131
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background and Aim Platycodon grandiflorum(PG) has been widely used for treating chronic bronchitis (CB). However, the material basis and underlying mechanism of action of PG against CB have not yet been elucidated. Methods To analyze the ingredients in PG, ultraperformance liquid chromatography-quadrupole-time-of-flight tandem mass (UPLC-Q-TOF-MS/MS) technology was performed. Subsequently, using data mining and network pharmacology methodology, combined with Discovery Studio 2016 (DS), Cytoscape v3.7.1, and other software, active ingredients, drug-disease targets, and key pathways of PG in the treatment of CB were evaluated. Finally, the reliability of the core targets was evaluated using molecular docking technology andin vitrostudies. Results A total of 36 compounds were identified in PG. According to the basic properties of the compounds, 10 major active ingredients, including platycodin D, were obtained. Based on the data mining approach, the Traditional Chinese Medicine Systems Pharmacology Database, and the Analysis Platform (TCMSP), GeneCards, and other databases were used to obtain targets related to the active ingredients of PG and CB. Network analysis was performed on 144 overlapping gene symbols, and twenty core targets, including interleukin-6 (IL-6) and tumor necrosis factor (TNF), which indicated that the potential signaling pathway that was most relevant to the treatment of CB was the IL-17 signaling pathway. Conclusion In this study, ingredient analysis, network pharmacology analysis, and experiment verification were combined, and revealed that PG can be used to treat CB by reducing inflammation. Our findings provide novel insight into the mechanism of action of Chinese medicine. Furthermore, our data are of value for the research and development of novel drugs and the application thereof.
引用
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页数:17
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