4.7 Article

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

Journal

FRONTIERS IN PHARMACOLOGY
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fphar.2020.564131

Keywords

chemical ingredient; chronic bronchitis; experiment verification; mechanism of action; network pharmacology; Platycodon grandiflorum

Funding

  1. National Key R&D Program Special Topics for Modernization of Traditional Chinese Medicine [2018YFC1707206, 2018YFC1707200]
  2. Key R&D Program of Jiangxi Province [20192BBG70073]
  3. National Natural Science foundation of China [81560651]
  4. Jiangxi Province's double first-class discipline (Traditional Chinese Medicine) construction project [JXSYLXKZHYAO039/141]
  5. Doctoral Research start-up Fund [2018WBZR009]

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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.

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