Key Laboratory of UWB & THz of Shandong Academy of Sciences, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, PR China; Tianjin University of Traditional Chinese Medicine, Tianjin 300193, PR China.
Phytomedicine. 2018 May 15;44:212-219. doi: 10.1016/j.phymed.2018.03.002. Epub 2018 Mar 7.
The quality evaluation of traditional Chinese medicine (TCM) formulations is needed to guarantee the safety and efficacy. In our laboratory, we established interaction rules between chemical quality control and biological activity evaluations to study Yuanhu Zhitong tablets (YZTs). Moreover, a quality marker (Q-marker) has recently been proposed as a new concept in the quality control of TCM. However, no appropriate methods are available for the identification of Q-markers from the complex TCM systems.
We aimed to use an integrative pharmacological (IP) approach to further identify Q-markers from YZTs through the integration of multidisciplinary knowledge. In addition, data mining was used to determine the correlation between multiple constituents of this TCM and its bioactivity to improve quality control.
The IP approach was used to identify the active constituents of YZTs and elucidate the molecular mechanisms by integrating chemical and biosynthetic analyses, drug metabolism, and network pharmacology. Data mining methods including grey relational analysis (GRA) and least squares support vector machine (LS-SVM) regression techniques, were used to establish the correlations among the constituents and efficacy, and dose efficacy in multiple dimensions.
Seven constituents (tetrahydropalmatine, α-allocryptopine, protopine, corydaline, imperatorin, isoimperatorin, and byakangelicin) were identified as Q-markers of YZT using IP based on their high abundance, specific presence in the individual herbal constituents and the product, appropriate drug-like properties, and critical contribution to the bioactivity of the mixture of YZT constituents. Moreover, three Q-markers (protopine, α-allocryptopine, and corydaline) were highly correlated with the multiple bioactivities of the YZTs, as found using data mining. Finally, three constituents (tetrahydropalmatine, corydaline, and imperatorin) were chosen as minimum combinations that both distinguished the authentic components from false products and indicated the intensity of bioactivity to improve the quality control of YZTs.
Tetrahydropalmatine, imperatorin, and corydaline could be used as minimum combinations to effectively control the quality of YZTs.
为保证中药(TCM)制剂的安全性和有效性,需要对其质量进行评价。本实验室建立了化学质量控制与生物活性评价之间的相互作用规则,用于研究元胡止痛片(YZTs)。此外,质量标志物(Q-marker)最近被提议作为 TCM 质量控制的新概念。然而,对于从复杂的 TCM 系统中鉴定 Q-marker,还没有合适的方法。
我们旨在使用综合药理学(IP)方法,通过整合多学科知识,从 YZTs 中进一步鉴定 Q-marker。此外,还使用数据挖掘方法确定 TCM 多种成分与其生物活性之间的相关性,以提高质量控制。
使用 IP 方法整合化学和生物合成分析、药物代谢和网络药理学,鉴定 YZTs 的活性成分并阐明其分子机制。使用灰色关联分析(GRA)和最小二乘支持向量机(LS-SVM)回归技术等数据挖掘方法,建立成分与功效、多维度剂量功效之间的相关性。
基于含量高、单体及制剂中特异性存在、适当的类药性和对 YZT 成分混合物生物活性的关键贡献,使用 IP 方法鉴定了 7 种成分(延胡索乙素、α-别隐品碱、原阿片碱、紫堇碱、异欧前胡素、欧前胡素和比克白芷素)为 YZT 的 Q-marker。此外,数据挖掘发现,3 种 Q-marker(原阿片碱、α-别隐品碱和紫堇碱)与 YZT 的多种生物活性高度相关。最后,选择了 3 种成分(延胡索乙素、紫堇碱和异欧前胡素)作为最小组合,既能区分正品与假冒产品,又能指示生物活性强度,从而提高 YZT 的质量控制。
延胡索乙素、异欧前胡素和紫堇碱可作为最小组合,有效控制 YZT 的质量。