摘要
目的:采用指纹图谱和网络药理学的方法,分析预测蓍草的潜在中药质量标志物(Q-Marker).方法:采用高效液相色谱法建立蓍草的指纹图谱,对21批蓍草进行相似度评价并对共有峰进行指认和归属,再运用网络药理学方法,构建"成分-靶点-通路"网络图,分析预测蓍草的Q-Marker,并测定其含量.结果:建立了21批蓍草的指纹图谱,相似度均大于0.910,确认了13个共有峰,通过对照品比对指认出6个色谱峰并测定其含量,6个峰分别为绿原酸、异绿原酸B、异绿原酸A、异绿原酸C、百蕊草素Ⅱ和3,4,5-三咖啡酰奎宁酸.经网络药理学分析筛选出发挥抗炎、抗菌作用的绿原酸、百蕊草素Ⅱ和3,4,5-三咖啡酰奎宁酸3个活性成分,38个核心靶点和20条关键通路.初步预测绿原酸、百蕊草素Ⅱ和3,4,5-三咖啡酰奎宁酸可作为蓍草潜在的Q-Marker.结论:预测分析得到的蓍草Q-Marker,为蓍草药材质量控制提供一定参考,为后续其药效物质基础及作用机制研究奠定基础.
Abstract
Objective:To analyze and predict the potential herbal quality maker(Q-Marker)of Achil-lea alpina by using fingerprinting and network pharmacology.Methods:The fingerprints of A.alpina were established by high performance liquid chromatography(HPLC).The similarity of 21 batches of A.alpina was evaluated and the common peaks were identified and attributed.The Q-Markers of A.al-pina were analyzed and their contents were determined by network pharmacology.Results:The finger-prints of 21 batches of A.alpina were established,and the similarity was greater than 0.910.13 peaks were identified,and 6 peaks were identified by control comparison,namely chlorogenic acid,isochlo-rogenic acid B,isochlorogenic acid A,isochlorogenic acid C,astragalin and 3,4,5-tricaffeoylquinic acid.The network pharmacology analysis identified 3 active ingredients,38 core targets and 20 key pathways for the anti-inflammatory and antibacterial effects.The preliminary prediction was that chlo-rogenic acid,astragalin and 3,4,5-tricaffeoylquinic acid could be used as potential Q-Markers for A.alpina.Conclusion:The Q-Markers obtained from the prediction analysis could provide some refer-ence for the quality control of A.alpina herb and lay the foundation for the subsequent study of its phar-macological basis and mechanism of action.
基金项目
国家重点研发计划(2019YFC1711000)
陕西中医药大学学科创新团队项目(2019-YL10)
陕西省教育厅一般专项科研计划项目(22JK0350)
维普
万方数据