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基于高效液相色谱-四极杆飞行时间串联质谱法和网络药理学的肉苁蓉Q-标志物鉴定

[Identification of Q-markers for Cistanches Herba based on HPLC-Q-TOF-MS/MS and network pharmacology].

作者信息

Cao Zhao-Yuan, Liu Jian-Ting, Han Yan-Qi, Zhang Tie-Jun, Xu Jun

机构信息

Tianjin University of Traditional Chinese Medicine Tianjin 300193, China.

Tianjin Key Laboratory of Quality Marker of Traditional Chinese Medicine, Tianjin Institute of Pharmaceutical Research Tianjin 300301, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2022 Apr;47(7):1790-1801. doi: 10.19540/j.cnki.cjcmm.20211210.201.

Abstract

This study aims to establish a method for analyzing the chemical constituents in Cistanches Herba by high performance liquid chromatography(HPLC) and quadrupole-time-of-flight tandem mass spectrometry(HPLC-Q-TOF-MS/MS), and to reveal the pharmacological mechanism based on network pharmacology for mining the quality markers(Q-markers) of Cistanches Herba. The chemical constituents of Cistanche deserticola and C. tubulosa were analyzed via HPLC-Q-TOF-MS/MS. The potential targets and pathways of Cistanches Herba were predicted via SwissTargetPrediction and DAVID. The compound-target-pathway-pharmacological action-efficacy network was constructed via Cytoscape. A total of 47 chemical constituents were identified, involving 95 targets and 56 signaling pathways. We preliminarily elucidated the pharmacological mechanisms of echinacoside, acteoside, isoacteoside, cistanoside F, 2'-acetylacteoside, cistanoside A, campneoside Ⅱ, salidroside, tubuloside B, 6-deoxycatalpol, 8-epi-loganic acid, ajugol, bartsioside, geniposidic acid, and pinoresinol 4-O-β-D-glucopyranoside, and predicted them to be the Q-markers of Cistanches Herba. This study identified the chemical constituents of Cistanches Herba, explained the pharmacological mechanism of the traditional efficacy of Cistanches Herba based on network pharmacology, and introduced the core concept of Q-markers to improve the quality evaluation of Cistanches Herba.

摘要

本研究旨在建立一种利用高效液相色谱(HPLC)和四极杆-飞行时间串联质谱(HPLC-Q-TOF-MS/MS)分析肉苁蓉中化学成分的方法,并基于网络药理学揭示其药理机制,以挖掘肉苁蓉的质量标志物(Q-标志物)。通过HPLC-Q-TOF-MS/MS分析了荒漠肉苁蓉和管花肉苁蓉的化学成分。通过SwissTargetPrediction和DAVID预测了肉苁蓉的潜在靶点和通路。通过Cytoscape构建了化合物-靶点-通路-药理作用-功效网络。共鉴定出47种化学成分,涉及95个靶点和56条信号通路。我们初步阐明了松果菊苷、毛蕊花糖苷、异毛蕊花糖苷、肉苁蓉苷F、2'-乙酰毛蕊花糖苷、肉苁蓉苷A、campneosideⅡ、红景天苷、管花苷B、6-脱氧梓醇、8-表番木鳖酸、筋骨草苷、栀子苷酸和松脂醇4-O-β-D-吡喃葡萄糖苷的药理机制,并预测它们为肉苁蓉的Q-标志物。本研究鉴定了肉苁蓉的化学成分,基于网络药理学解释了肉苁蓉传统功效的药理机制,并引入了Q-标志物的核心概念以改进肉苁蓉的质量评价。

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