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      Identification of constituents in Gui-Zhi-Jia-Ge-Gen-Tang by LC-IT-MS combined with LC-Q-TOF-MS and elucidation of their metabolic networks in rat plasma after oral administration

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          Abstract

          Gui-Zhi-Jia-Ge-Gen-Tang (GZJGGT) is a traditional Chinese medicine (TCM) prescription commonly used to treat cervical spondylopathy, scapulohumeral periarthritis, etc. Though it is widely applied in clinical practice, the effective constituents of GZJGGT remain unclear. This was the first report on the identification of the chemical constituents from GZJGGT in vitro and in vivo using LC-IT-MS combined with LC-Q-TOF-MS. A total of 141 constituents were detected in GZJGGT, and 77 were identified. These compounds mainly included flavonoid glycosides, triterpene saponins, monoterpene glycosides, puerosides, and organic acids. Among them, 12 compounds were unequivocally identified in comparison with reference substances. Additionally, a diagnostic base peak ion filtering strategy for rapid classification of flavonoid O-glycosides and C-glycosides was proposed. After gastrointestinal administration of GZJGGT to rats, 45 prototypes and 48 metabolites in rat plasma were speculated. In addition, the metabolic profile of GZJGGT was portrayed to understand interrelationship between metabolites.

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          Author and article information

          Journal
          CJNM
          Chinese Journal of Natural Medicines
          Elsevier BV
          1875-5364
          20 November 2019
          : 17
          : 11
          : 803-821
          Affiliations
          1 College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
          2 College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China
          3 Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
          Author notes
          *Corresponding author: WANG Shu-Fang, E-mail: wangsf@ 123456zju.edu.cn ; ZHANG Xing-Xian, zhangxx@ 123456zjut.edu.cn

          These authors have no conflict of interest to declare.

          Article
          S1875-5364(19)30099-8
          10.1016/S1875-5364(19)30099-8
          Copyright © 2019 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
          Funding
          Funded by: Zhejiang Provincial Natural Science Foundation of China
          Award ID: LY17H280002
          This work was supported by Zhejiang Provincial Natural Science Foundation of China (No. LY17H280002).
          Categories
          Research article

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