Identification of quality markers of Yuanhu Zhitong tablets based on integrative pharmacology and data mining

普罗托品 延胡索乙素 化学成分 鉴定(生物学) 公共化学 偏最小二乘回归 计算生物学 中医药 数据挖掘 传统医学 药理学 计算机科学 化学 机器学习 生物 延胡索 医学 色谱法 生物碱 病理 立体化学 替代医学 植物
作者
Ké Li,Junfang Li,Jin Su,Xuefeng Xiao,Xiujuan Peng,Feng Liu,Defeng Li,Yi Zhang,Tao Chong,Haiyu Xu,Changxiao Liu,Hongjun Yang
出处
期刊:Phytomedicine [Elsevier]
卷期号:44: 212-219 被引量:31
标识
DOI:10.1016/j.phymed.2018.03.002
摘要

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.
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