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目的:采用网络药理学的方法,探索葛根改善胰岛素抵抗潜在的活性成分和作用机制。方法:将胰岛素抵抗关键靶点与葛根化合物进行分子对接,再把筛选出来的成分与4条筛选出来的信号通路上的31个靶点对接,并通过Cytoscape 3.2.1软件建立成分-靶点网络模型进行网络分析。结果:模拟筛选出来的19个化合物与AMPK等4条信号通路的蛋白具有很强的相互作用,而这19个成分有13个可以通过文献验证,初步揭示了葛根改善胰岛素抵抗的物质基础及其在4条信号通路上的作用机制。结论:网络药理学方法有助于寻找葛根中改善胰岛素抵抗的活性成分,并阐明其作用机制。
OBJECTIVE: To explore the potential active ingredients and mechanism of Pueraria to improve insulin resistance by using network pharmacology. Methods: The key target of insulin resistance and puerarin were molecular docking, and then the selected components of the four screening out of the signal pathways on the 31 target docking, and through Cytoscape 3.2.1 software to establish component - target network Model for network analysis. RESULTS: Nineteen compounds that were screened out showed strong interaction with the four signaling pathways, such as AMPK. Thirteen of the nineteen components were validated by the literature, revealing the material basis of Pueraria to improve insulin resistance and its Mechanism of action on 4 signaling pathways. Conclusion: The network pharmacology method is helpful to find the active ingredients that improve insulin resistance in Pueraria lobata and clarify its mechanism.