Comprehensive characterization of in vivo metabolic profile of Polygalae radix based on ultra-high-performance liquid chromatography-tandem mass spectrometry.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
20 Feb 2019
Historique:
received: 27 09 2018
revised: 15 11 2018
accepted: 04 12 2018
pubmed: 15 12 2018
medline: 4 4 2019
entrez: 15 12 2018
Statut: ppublish

Résumé

In this study, a novel analysis strategy for progressively targeted screening and characterization of drug ingredients from in vitro to in vivo was proposed based on ultra-high performance liquid chromatography-tandem mass spectrometry for comprehensive characterization of in vivo metabolic profile of Polygalae radix (PR). First, an in vitro chemical profile of PR was described with the assistance of UNIFI™ software. The characteristic neutral small molecule losses were summarized to distinguish different chemical structures in the PR extract. Second, the in vitro intestinal microflora metabolism model was applied to describe an in vitro metabolic profile of the main ingredients of PR. The metabolic rule and metabolites were integrated for subsequent targeted screening of metabolites in vivo. Finally, an integrated strategy was established and applied to screen and characterize the major absorbed components in vivo, including blood, urine, brain, feces, and liver, based on the prototypes and metabolic rules obtained in vitro. As a result, in vitro and in vivo metabolic profiles of PR were effectively depicted. A total of 136 compounds were isolated and identified from the crude extract in vitro, and 12 compounds were reported for the first time based on the proposed fragmentations. A total of 13, 32, and 3 compounds were identified and characterized in the dosed plasma, liver, and brain, respectively. A total of 40 and 73 compounds were identified in urine and feces, respectively. This strategy not only provided a comprehensive insight into the chemical and metabolic profiles of PR but also presented a new perspective for the discovery of new drugs for medicinal application.

Identifiants

pubmed: 30551072
pii: S0731-7085(18)32214-3
doi: 10.1016/j.jpba.2018.12.005
pii:
doi:

Substances chimiques

Plant Extracts 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

173-181

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Gui-Fang Feng (GF)

National Center of Mass Spectrometry in Changchun and Jilin Province Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry and Chemical Biology Laboratory, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China; University of Science and Technology of China, Hefei, 230026, China.

Shu Liu (S)

National Center of Mass Spectrometry in Changchun and Jilin Province Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry and Chemical Biology Laboratory, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China. Electronic address: mslab20@ciac.ac.cn.

Zi-Feng Pi (ZF)

National Center of Mass Spectrometry in Changchun and Jilin Province Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry and Chemical Biology Laboratory, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China.

Feng-Rui Song (FR)

National Center of Mass Spectrometry in Changchun and Jilin Province Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry and Chemical Biology Laboratory, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China.

Zhi-Qiang Liu (ZQ)

National Center of Mass Spectrometry in Changchun and Jilin Province Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry and Chemical Biology Laboratory, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China; University of Science and Technology of China, Hefei, 230026, China. Electronic address: liuzq@ciac.ac.cn.

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Classifications MeSH