目的 运用系统药理学的方法探究中药厚朴的药理作用机制。方法 以中药成分数据库和大量文献检索，建立厚朴成分数据库。运用ADME筛选厚朴的活性成分，并利用数据库和内部软件进行靶点的识别。最后通过网络分析和通路分析等系统药理学方法对厚朴药理作用机制进行分析。结果 建立厚朴成分数据库，共包含144种厚朴活性成分。经过活性成分的筛选，得到7个满足筛选条件的厚朴活性成分，并且识别出54个相互作用靶点。经过网络分析，发现这些靶点主要与肠动力、炎症、糖尿病和血栓疾病相关。通过通路分析，发现厚朴的靶点共涉及152条生物通路，且这些通路涉及除了上述疾病外，还参与到癌症的相关机制。结论 本研究不仅运用系统药理学的方法揭示了厚朴对肠动力、炎症、糖尿病、血栓和癌症的药理机制，还体现出厚朴"多成分-多靶点-多通路"的典型中药特点，更为今后探究中药药理作用机制供了一个新的思路。

Objective To explore the pharmacological mechanism of traditional Chinese medicine (TCM) Magnoliae Officinalis Cortex by systems pharmacology (SP). Methods A database of magnolia components was established by using the database of TCM ingredients and a large number of literature search. After that, ADME was used to screen the active compounds of magnolia, and these ingredients and an in silico software were used to identify targets. Finally, the pharmacological mechanism of magnolia was analyzed by SP methods network analysis and pathway analysis. Results The most comprehensive database of magnolia ingredients to date have been established, containing a total of 144 magnolia compounds. After screening, we obtained seven magnolia active compounds which meet the conditions and identified 54 interacting targets. The network analysis showed that these targets were mainly related to intestinal motility, inflammation, diabetes and thrombus. Through pathway analysis, we found that a total of 152 biological pathways were involved in the targets of magnolia, and these pathways were involved in cancer-related mechanisms in addition to the above diseases. Conclusion This study not only uses SP to reveal the pharmacological mechanisms of magnolia on intestinal motility, inflammation, diabetes, thrombus and cancer, but also reflects the typical "multi-component, multi-target, multi-channel" TCM characteristics of magnolia and provides a new SP technology to explore the pharmacological mechanism of TCM.

江苏省青蓝工程项目资助（2019年）