摘要
目的基于指纹图谱和网络药理学分析南柴胡Bupleurumscorzonerifolium中潜在的质量标志物(qualitymarker,Q-Marker)并测定其含量。方法运用高效液相色谱法建立南柴胡药材指纹图谱,确认共有峰并进行指认,再运用网络药理学方法构建"活性成分-靶点-通路"网络,预测Q-Marker,并测定其含量。结果建立了12批南柴胡药材指纹图谱,确认了13个共有峰,通过柴胡皂苷对照品指认5个色谱峰,分别为柴胡皂苷a、柴胡皂苷b2、柴胡皂苷c、柴胡皂苷d、柴胡皂苷f;经网络药理学确认以上5种成分为活性成分,可作用于14个核心靶点、20条关键通路发挥抗炎、抗抑郁、抗肿瘤作用,初步预测柴胡皂苷a、柴胡皂苷b2、柴胡皂苷c、柴胡皂苷d、柴胡皂苷f为南柴胡潜在的Q-Marker,南柴胡药材中其总质量分数不低于0.10%。结论南柴胡Q-Marker预测分析为药材质量评价提供参考,为阐明其药效物质基础的作用机制奠定基础。
Objective To predict potential quality marker(Q-Marker)of Bupleurum scorzonerifolium based on fingerprint detection and network pharmacology analysis,and determine the contents of Q-Marker.Method Fingerprint of B.scorzonerifolium was established by HPLC,common peaks were confirmed and identified."Active component-target-pathway"network was constructed by network pharmacology method.Q-Marker were predicted and their contents were determined.Result Fingerprints of 12 batches of B.scorzonerifolium were established,13 common peaks were identified,and 5 peaks(saikosaponin a,saikosaponin b2,saikosaponin c,saikosaponin d,and saikosaponin f)were identified by saikosaponin reference substances.According to network pharmacology,above five components were identified as active components of B.scorzonerifolium,which showed anti-inflammatory,antidepressant,and anti-tumor effects through acting on 14 core targets and 20 key pathways.Saikosaponin a,saikosaponin b2,saikosaponin c,saikosaponin d,and saikosaponin f were preliminarily predicted as potential Q-Marker of B.scorzonerifolium,total content of which were not less than 0.10%.Conclusion Prediction and analysis of Q-Marker of B.scorzonerifolium can provide references for quality evaluation of medicinal materials and lay a foundation for elucidation of action mechanism of pharmacodynamic substance basis.
作者
曲中原
吴双
郑岩
罗龙坦
邴一凡
邹翔
李雪
李文兰
QU Zhong-yuan;WU Shuang;ZHENG Yan;LUO Long-tan;BING Yi-fan;ZOU Xiang;LI Xue;LI Wen-lan(Department of Traditional Chinese Medicine,College of Pharmacy,Harbin University of Commerce,Harbin 150076,China;Pharmaceutical Engineering Technology Research Center,College of Pharmacy,Harbin University of Commerce,Harbin 150076,China)
出处
《中草药》
CAS
CSCD
北大核心
2021年第9期2678-2686,共9页
Chinese Traditional and Herbal Drugs
基金
哈尔滨商业大学青年创新人才支持计划项目(2020CX11)。
