首页|基于体内化学成分及网络药理学的经典名方酸枣仁汤质量标志物预测分析

基于体内化学成分及网络药理学的经典名方酸枣仁汤质量标志物预测分析

Quality Markers of Suanzaoren Decoction Based on Chemical Components in Vivo and Network Pharma-cology

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目的 研究酸枣仁汤进入体内的原型化学成分,利用网络药理学进行质量标志物(quality markers,Q-Marker)的预测分析,为经典名方酸枣仁汤的质量控制提供参考依据.方法 首先大鼠灌胃给予酸枣仁汤,于给药后采集4 h的血样和24 h的尿样,检测血和尿中的原型化合物;然后基于进入体内的化学成分,利用网络药理学获得关键作用靶点及关键通路,绘制"成分-靶点-通路"网络图,以预测酸枣仁汤抗失眠、焦虑、抑郁的质量标志物.结果 在大鼠体内共检测到20种原型化合物;通过网络药理学预测核心靶点23个,进入体内的14种原型成分酸枣仁皂苷A、甘草次酸、阿魏酸、木兰花碱、甘草素、异甘草素、茯苓酸A、斯皮诺素、乌药碱、知母皂苷BⅡ、甘草酸、酸枣仁皂苷B、甘草苷、洋川芎内酯A与之相关联,发挥多靶点调控失眠、焦虑、抑郁等通路的作用.结论 通过分析体内原型化学成分结合网络药理学预测的14种化学成分可作为酸枣仁汤的潜在质量标志物,为酸枣仁汤的质量控制提供参考,同时也为阐明其药效物质的作用机制奠定基础.
OBJECTIVE To predict the potential quality marker (Q-Marker)components of Suanzaoren Decoction based on the prototype chemical composition of in vivo by using network pharmacology.METHODS Firstly,the plasma samples and urine samples of rats were collected within 4 h and 24 h after intragastric administration of Suanzaoren Decoction,respectively.Then,based on the chemical components found in vivo,the key action targets and key pathway were obtained by network pharmacology,and the network map of"component-target-pathway"was carried out to predict the quality markers of Suanzaoren Decoction against insomnia,anxiety and depression.RESULTS A total of 20 prototype compounds were detected in rats.The 23 core targets were predicted and 14 prototype components associated with pharmacodynamic efficacy were screened through network pharmacology,the 14 components including jujuboside A,enoxolone,ferulic acid,magnoflorine,liquiritigenin,isoliquiritigenin,poricoic acid A,spinosin,coclaurine,timosaponin BⅡ,glycyrrhizic acid,jujuboside B,liquiritinand senkyunolide A played multiple targets and multiple pathways to regulate insomnia,anxiety,depression.CONCLUSION It is predicted that the 14 chemical components are considered as potential quality markers of Suanzaoren Decoction by analyzing prototype chemical composition in vivo combined with network pharmacology.The results can provide reference for the quality control of Suanzaoren Decoction,and lay a foundation for elucidating the mechanism of its pharmacodynamic substances.

Suanzaoren Decoctionchemical component in vivohigh performance liquid chromatography quadrupole time-of-flight tandem mass spectrometrynetwork pharmacologyQ-Marker

李静、陈伟燕、李松、赵韶华、刘敏彦、李志伟

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河北科技大学,石家庄 050018

石家庄学院,河北省藏药质量技术创新中心,石家庄 050035

石家庄以岭药业股份有限公司,石家庄 050035

酸枣仁汤 体内化学成分 高效液相色谱-四极杆飞行时间串联质谱法 网络药理学 质量标志物

2024

中国药学杂志
中国药学会

中国药学杂志

CSTPCD北大核心
影响因子:0.957
ISSN:1001-2494
年,卷(期):2024.59(22)