目的 探究复方芒果叶的抗炎活性，明确其抗炎药效物质基础，初步阐明其网络调控机制。方法 采用UPLC-Q/TOF-MS法结合核因子-κB（NF-κB）荧光素酶报告基因检测系统对复方芒果叶进行抗炎成分的筛选；运用网络药理学对其中药效成分进行作用靶点与通路的预测；并利用肿瘤坏死因子-α（TNF-α）诱导人支气管上皮细胞BEAS-2B炎症模型以及采用酶联免疫法（ELISA）对复方芒果叶的抗炎活性进行验证。结果 从复方芒果叶中筛选出16个主要抗炎成分；预测这些抗炎成分分别作用于40个靶点并与11条炎症通路相关，活性验证结果表明芒果苷、补骨脂素、人参皂苷Rg₁ 3个化合物均具有很好的抗炎作用，且各成分间两两配伍具有协同作用。结论 初步揭示了复方芒果叶抗炎作用与丝裂原活化蛋白激酶（MAPK）、黏着斑（focal adhesion）、血管内皮生长因子（VEGF）信号通路等多重调控机制有关。

Objective To investigate the anti-inflammatory activity of compound Mango leaves formula (CMLF) and illuminate the network regulated mechanism. Methods UPLC-Q/TOF-MS combined with NF-κB dual-luciferase reporter assay systems was used to screen the anti-inflammatory ingredients in CMLF, network pharmacology approach was utilized to forecast the targets and pathways, and then the anti-inflammatory effect was verified by TNF-α induced BEAS-2B cells inflammatory model and ELISA. Results Sixteen anti-inflammatory ingredients were screened out, and there were 40 targets working on 11 pathways respectively. Conclusion The anti-inflammatory multiple regulation mechanism of CMLF is related to MAPK, focal adhesion.

广西科技基础条件平台项目（10-046-04）；广西"八桂学者"工程专项经费资助（厅发[2013]3号）