[关键词]
[摘要]
目的 构建疏风解毒胶囊抗炎作用谱效关系网络模型,探究其发挥抗炎作用的潜在物质基础。方法 在建立疏风解毒胶囊不同配比样品指纹图谱分析方法的基础上,采用均匀设计法对疏风解毒胶囊中8味药材随机采样得到不同配比组,测定各配比样品对脂多糖(LPS)诱导的RAW264.7细胞释放肿瘤坏死因子-α(TNF-α)、白细胞介素(IL-6)的抑制率,将药效信息与各样品MS指纹图谱化学信息用BP人工神经网络分析得出各色谱峰对抗炎活性的影响程度,建立谱效关系。结果 通过建立的最佳神经网络模型,计算得到14个特征峰与疏风解毒胶囊抗炎活性显著相关。结论 通过谱效研究,推测疏风解毒胶囊发挥抗炎作用的药效物质基础可能为包括大黄酸、大黄素、马鞭草苷、毛蕊花糖苷、松脂素-β-D-葡萄糖苷、连翘酯苷A、虎杖苷等在内的14个化合物。
[Key word]
[Abstract]
Objective To establish the spectrum-effect relationship network model of Shufeng Jiedu Capsule (SJC) for anti- inflammatory activity and explore potential effective compounds of its anti-inflammatory effects. Methods On the basis of the establishment of fingerprint analysis method for SJC, the uniform design method was used to divide eight herbs in SJC into groups of different proportions to determine their inhibition ratios of TNF-α and IL-6 released by LPS-induced RAW264.7 cells. Pharmacodynamic data and chemical information of MS fingerprints of each group were analyzed with the BP artificial neural network to get the anti-inflammatory effect of each peak to establish the chromatography-efficacy relationship. Results According to the optimal neural network model, 14 characteristic peaks were calculated and found to be significantly correlated with the anti- inflammatory activity of SJC. Conclusion Through the spectrum-effect study, it is speculated that the anti-inflammatory components of SJC may be the 14 compounds including rhein, emodin, verbenalin, verbascoside, pinoresinol-β-D-glucoside, forsythoside A, polydatin, etc., which provides a reference for the quality control and determination of effective components.
[中图分类号]
[基金项目]
国家中药标准化专项资助项目(ZYBZH-C-AH-02);国家自然科学基金资助项目(81430096);国家自然科学基金资助项目(81703802)