Systematic analysis of the metabolites of Angelol B by UPLC-Q-TOF-MS after oral administration to rats.

Autor: Wan MQ; A school of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, China; State Key Laboratory of Natural and Biomimetic Drugs, Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China., Zhang YB; State Key Laboratory of Natural and Biomimetic Drugs, Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China., Liu XY; State Key Laboratory of Natural and Biomimetic Drugs, Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China., Li KM; Shandong Academy of Tranditional Chinese Medicine, Jinan 250014, China., Jia LY; A school of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, China. Electronic address: jialingyun2003@126.com., Yang XW; State Key Laboratory of Natural and Biomimetic Drugs, Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China. Electronic address: xwyang@bjmu.edu.cn.
Jazyk: angličtina
Zdroj: Chinese journal of natural medicines [Chin J Nat Med] 2019 Nov; Vol. 17 (11), pp. 822-834.
DOI: 10.1016/S1875-5364(19)30100-1
Abstrakt: Angelicae Pubescentis Radix (APR), a widely used traditional Chinese medicine (TCM), is mainly used to treat rheumatism and headache diseases. Angelol B is one of the bioactive constituents of APR with significant anti-inflammatory activity. This paper is aimed to illustrate the metabolites of angelol B in vivo. To achieve this objective, a metabolomics approach based on a rapid and accurate UPLC-Q-TOF-MS method was used to detect the metabolites of Angelol B in rat. A gradient elution system (ACN and 0.1% formic acid water) equipped with an Agilent SB-C 18 column (1.8 μm, 2.1 mm × 50 mm) to complete the separation. Scanning area at m/z 100.800 operated on an electrospray ionization (ESI). The data were collected in both positive and negative ion mode and analyzed by the Masslynx 4.1 and SIMCA 13.0 software. A total of 31 metabolites including 20 phase I and 11 phase II. metabolites were identified. Their structure and fragmentation process were deduced based on the MS and MS/MS data. All of thirty-one metabolites are new compounds based on the search of SCI-Finder database.
(Copyright © 2019 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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