Literature DB >> 24151052

Rapid identification and comparative analysis of the chemical constituents and metabolites of Phellodendri amurensis cortex and Zhibai dihuang pill by ultra-performance liquid chromatography with quadrupole TOF-MS.

Huiyu Wang1, Hui Sun, Aihua Zhang, Yuan Li, Lihong Wang, Hui Shi, Xianna Li Dizou, Xijun Wang.   

Abstract

Zhibai dihuang pill is a famous traditional Chinese medicine formula containing the herbal medicine Phellodendri amurensis cortex. In this work, an integrative pattern recognition approach including principal component analysis and orthogonal partial least squared discriminant analysis based on ultra-performance liquid chromatography coupled to MS was successfully applied for the rapid discovery of natural compounds from herbal medicines. In a 24 min analysis, 93 compounds were identified or tentatively characterized from Zhibai dihuang pill based on their fragmentation behaviors, 23 of which were from Phellodendri amurensis cortex. A total of 26 metabolites in plasma were identified from Phellodendri amurensis cortex in Zhibai dihuang pill formula, among them, 12 prototypes and 14 metabolites through metabolic pathways of demethylation, methylation, hydrolysis, sulfate conjugation, and glucuronide conjugation, which were seven metabolites more than that of the single drug, suggesting the importance of the compatibility of traditional Chinese medicine. The present study provided important structural information on the metabolism of Zhibai dihuang pill. Furthermore, the results of this work have demonstrated the feasibility of ultra-performance liquid chromatography coupled to MS for the rapid and reliable characterization of metabolites from herbal medicines. Based on these results, this method could be a novel approach for identifying potentially bioactive components in other traditional Chinese medicines.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Keywords:  Metabolite; Pattern recognition; Phellodendri amurensis cortex; Traditional Chinese medicine; Ultra-performance liquid chromatography

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Year:  2013        PMID: 24151052     DOI: 10.1002/jssc.201300794

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  6 in total

1.  High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill.

Authors:  Wen-Xiu Li; Ai-Hua Zhang; Xiao-Hang Zhou; Yang Nan; Qi Liu; Hui Sun; Heng Fang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2020-01-13       Impact factor: 4.036

2.  Screening the active compounds of Phellodendri Amurensis cortex for treating prostate cancer by high-throughput chinmedomics.

Authors:  Xian-Na Li; Aihua Zhang; Meijia Wang; Hui Sun; Zhidong Liu; Shi Qiu; Tianlei Zhang; Xijun Wang
Journal:  Sci Rep       Date:  2017-04-06       Impact factor: 4.379

3.  Integrated Strategy From In Vitro, In Situ, In Vivo to In Silico for Predicting Active Constituents and Exploring Molecular Mechanisms of Tongfengding Capsule for Treating Gout by Inhibiting Inflammatory Responses.

Authors:  Wenning Yang; Xiaoquan Jiang; Jingtong Liu; Dongying Qi; Zhiqiang Luo; Guohua Yu; Xueyan Li; Muli Sen; Hongjiao Chen; Wei Liu; Yang Liu; Guopeng Wang
Journal:  Front Pharmacol       Date:  2021-11-29       Impact factor: 5.810

4.  Non-targeted metabolite profiling and specific targeted discrimination strategy for quality evaluation of Cortex Phellodendri from different varieties.

Authors:  Guoxue Zhu; Fang Feng
Journal:  RSC Adv       Date:  2018-06-15       Impact factor: 4.036

5.  Quality Evaluation of Phellodendri Chinensis Cortex by Fingerprint⁻Chemical Pattern Recognition.

Authors:  Xuexiao Cao; Lili Sun; Di Li; Guangjiao You; Meng Wang; Xiaoliang Ren
Journal:  Molecules       Date:  2018-09-10       Impact factor: 4.411

Review 6.  A comprehensive review of integrative pharmacology-based investigation: A paradigm shift in traditional Chinese medicine.

Authors:  Haiyu Xu; Yanqiong Zhang; Ping Wang; Junhong Zhang; Hong Chen; Luoqi Zhang; Xia Du; Chunhui Zhao; Dan Wu; Feng Liu; Hongjun Yang; Changxiao Liu
Journal:  Acta Pharm Sin B       Date:  2021-03-20       Impact factor: 11.413

  6 in total

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