【摘要】 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。更多还原

【Abstract】 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, liquiritin and 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.更多还原