[关键词]
[摘要]
目的 建立强力脑清素片(Qiangli Naoqingsu Tablets,QNT)的HPLC指纹图谱,为其有效质量控制提供参考。方法 建立QNT的HPLC指纹图谱,测定采用Agilent C18色谱柱,检测波长为220 nm;流动相为乙腈-水溶液,梯度洗脱。利用中药色谱指纹图谱相似度评价系统建立强力脑清素片的HPLC指纹图谱,确定共有峰并进行相似度评价;基于指纹图谱共有峰峰面积测定结果,采用聚类分析和主成分分析(PCA)等化学计量学方法对不同批次的强力脑清素片进行质量评价;采用网络药理学筛选和分析QNT相关的作用靶点和通路,构建“成分-靶点-网络”预测QNT中潜在的质量标志物(Q-Marker)。结果 QNP HPLC指纹图谱确认了11个共有峰,指认6个共有峰,分别为刺五加浸膏中紫丁香苷、异嗪皮啶、刺五加苷E;五味子流浸膏中五味子醇甲、五味子甲素、五味子乙素。15批QNT片样品相似度均大于0.95,相似度良好;15批QNT聚类为5类;主成分1~5是影响QNP质量评价的主要因子。通过网络药理学筛选出5个活性成分为紫丁香苷、刺五加苷E、异嗪皮啶、五味子醇甲、五味子甲素;32个核心靶点分别为CA14、KIT、KDR、HPY5R、EGFR、MMP13等和13条关键通路为ErbB信号通路、Rap1信号通路、含血清素的神经突触等;基于Q-Marker“五原则”分析预测紫丁香苷、刺五加苷E、异嗪皮啶、五味子甲素、五味子醇甲为潜在的Q-Marker。结论 通过指纹图谱和网络药理学分析预测QNT中的Q-Marker,所建立的方法操作便捷、结果准确、重复性好,可用于QNT的质量控制和评价,为全面控制QNT的质量提供依据,为进一步研究QNT的作用机制提供参考。
[Key word]
[Abstract]
Objective To study the fingerprint of Qiangli Naoqingsu Tablets (QNT, 强力脑清素片) and provide reference for its effective quality control. Methods The fingerprint of QNT was determined by HPLC using Agilent C18 column at the detection wavelength of 220 nm. The mobile phase was acetonitrile-water solution with gradient elution. The HPLC fingerprint of QNT was established by using the Similarity Evaluation System for Chromatographic Fingerprint of TCM. Based on the results of common peak area determination of fingerprint, the quality of different batches of QNT was evaluated by the stoichiometric method such as cluster analysis and principal component analysis (PCA). Network pharmacology was used to screen and analyze QNT-related targets and pathways, and "component-target-network" was constructed to predict the potential Q-marker in QNT. Results Eleven common peaks and six common peaks were identified by HPLC fingerprint, namely syringin, isofraxidin, and eleutheroside E in Acanthopanax senticosusextract, schisandrol, schizandrin A, and schisandrin B in Schisandra chinensisfluid extract. The similarity of 15 batches of QNT was greater than 0.95, and the similarity was good. Fifteen batches of QNT were clustered into five types. Principal components 1-5 were the main factors affecting the quality evaluation of QNT. Five active components were screened including syringin, isofraxidin, eleutheroside E, schisandrol, and schizandrin A; The 32 core targets were CA14, KIT, KDR, HPY5R, EGFR, MMP13 and so on; And the 13 key pathways were ErbB signaling pathway, RAP1 signaling pathway, serotonin-containing synapse, etc. Based on the "Five Principles" of Q-marker, the analysis and prediction of syringin, acanthopyrin E, isofraxidin, schisandrol, and schizandrin A were potential Q-markers. Conclusion Q-marker in QNT is predicted by fingerprint and network pharmacology analysis, which provides basis for the overall control of QNT quality and provides reference for further research on the mechanism of action of QNT.
[中图分类号]
R286.02
[基金项目]
国家药典委员药品标准制修订研究课题(2019Z061)