A target integration strategy for analyzing multidimensional chemical and metabolic substance groups of Ding-Zhi-Xiao-Wan prescription by using ultra-high performance liquid chromatography tandem mass spectrometry

A target integration strategy for analyzing multidimensional chemical and metabolic substance groups of Ding-Zhi-Xiao-Wan prescription by using ultra-high performance liquid chromatography tandem mass spectrometry
复制标题

超高效液相色谱串联质谱分析定治消丸方多维化学代谢物质群的目标整合策略

DOI:
10.1016/j.chroma.2019.460412
复制
发表时间:
2019-12-20
影响因子:
4.1
通讯作者:
Pi, Zifeng
Pi, Zifeng
中科院分区:
化学2区
文献类型:
--
作者:
Feng, Guifang;Liu, Zhiqiang;Pi, Zifeng

文献摘要

被引文献

相似文献

由于复方的化学成分比单味药更复杂且疗效更好,鉴定复方的体内代谢物既具有挑战性又有意义。本文建立了一种结合串联质谱技术的靶向整合策略,用于从定志小丸(DZXW)代表性标准的单体成分鉴定代谢物。充分利用定志小丸中各类别的代表性标准来探索质量裂解规律和体外代谢情况。然后将这些研究扩展到单味药,最后到定志小丸复方。此外,代谢研究的顺序遵循口服药物在体内的代谢顺序,即从体外到肠道,到肝脏,到血液,最终到靶器官。结果,在体内有效检测并鉴定出定志小丸共150种原型和51种代谢物。这一结果为定志小丸更好地应用于治疗阿尔茨海默病奠定了物质基础。更重要的是,这种分析策略为中药的药物代谢提供了深刻的见解。(C)2019爱思唯尔公司。保留所有权利。
It is both challenging and meaningful for identifying the in vivo metabolites of the complex prescription owning to more complex chemical constituents and better therapeutic effect than those of the single medicine. In this paper, a target integration strategy combined with tandem mass spectrometry technology was developed for identification of metabolites from monomer composition of representative standard to Ding-Zhi-Xiao-Wan prescription (DZXW). The representative standards of each type in DZXW were utilized fully to explore the rule of mass fragmentation and the metabolism in vitro. These study were then extended to the single medicine and finally to the DZXW prescription. In addition, the order of metabolic research followed the metabolic order of oral drug in body, namely from in vitro, to intestine tract, to liver, to blood, and ultimately to target organs. As a result, a total of 150 prototypes and 51 metabolites of DZXW were effectively detected and identified in vivo. This result laid a material foundation for the better application of DZXW in treating Alzheimer's disease. More importantly, this analysis strategy provided a deep insight for the drug metabolism of traditional Chinese medicine. (C) 2019 Elsevier B.V. All rights reserved.