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Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining

Phillyrin, a well-known bisepoxylignan, has been shown to have many critical pharmacological activities. In this study, a novel strategy for the extensive acquisition and use of data was established based on UHPLC-Q-Exactive mass spectrometry to analyze and identify the in vivo metabolites of philly...

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Autores principales: Ma, Beibei, Li, Jiameng, Lou, Tianyu, Liang, Yaoyue, Wang, Chenxiao, Li, Ruiji, Wang, Tingting, Liu, Jinhui, Guo, Yudong, Wang, Zhibin, Wang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333037/
https://www.ncbi.nlm.nih.gov/pubmed/32670374
http://dx.doi.org/10.1155/2020/8274193
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author Ma, Beibei
Li, Jiameng
Lou, Tianyu
Liang, Yaoyue
Wang, Chenxiao
Li, Ruiji
Wang, Tingting
Liu, Jinhui
Guo, Yudong
Wang, Zhibin
Wang, Jing
author_facet Ma, Beibei
Li, Jiameng
Lou, Tianyu
Liang, Yaoyue
Wang, Chenxiao
Li, Ruiji
Wang, Tingting
Liu, Jinhui
Guo, Yudong
Wang, Zhibin
Wang, Jing
author_sort Ma, Beibei
collection PubMed
description Phillyrin, a well-known bisepoxylignan, has been shown to have many critical pharmacological activities. In this study, a novel strategy for the extensive acquisition and use of data was established based on UHPLC-Q-Exactive mass spectrometry to analyze and identify the in vivo metabolites of phillyrin and to elucidate the in vivo metabolic pathways of phillyrin. Among them, the generation of data sets was mainly due to multichannel data mining methods, such as high extracted ion chromatogram (HEIC), diagnostic product ion (DPI), and neutral loss filtering (NLF). A total of 60 metabolites (including the prototype compound) were identified in positive and negative ion modes based on intuitive and useful data such as the standard's cleavage rule, accurate molecular mass, and chromatographic retention time. The results showed that a series of biological reactions of phillyrin in vivo mainly included methylation, hydroxylation, hydrogenation, sulfonation, glucuronidation, demethylation, and dehydrogenation and their composite reactions. In summary, this study not only comprehensively explained the in vivo metabolism of phillyrin, but also proposed an effective strategy to quickly analyze and identify the metabolites of natural pharmaceutical ingredients in nature.
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spelling pubmed-73330372020-07-14 Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining Ma, Beibei Li, Jiameng Lou, Tianyu Liang, Yaoyue Wang, Chenxiao Li, Ruiji Wang, Tingting Liu, Jinhui Guo, Yudong Wang, Zhibin Wang, Jing Int J Anal Chem Research Article Phillyrin, a well-known bisepoxylignan, has been shown to have many critical pharmacological activities. In this study, a novel strategy for the extensive acquisition and use of data was established based on UHPLC-Q-Exactive mass spectrometry to analyze and identify the in vivo metabolites of phillyrin and to elucidate the in vivo metabolic pathways of phillyrin. Among them, the generation of data sets was mainly due to multichannel data mining methods, such as high extracted ion chromatogram (HEIC), diagnostic product ion (DPI), and neutral loss filtering (NLF). A total of 60 metabolites (including the prototype compound) were identified in positive and negative ion modes based on intuitive and useful data such as the standard's cleavage rule, accurate molecular mass, and chromatographic retention time. The results showed that a series of biological reactions of phillyrin in vivo mainly included methylation, hydroxylation, hydrogenation, sulfonation, glucuronidation, demethylation, and dehydrogenation and their composite reactions. In summary, this study not only comprehensively explained the in vivo metabolism of phillyrin, but also proposed an effective strategy to quickly analyze and identify the metabolites of natural pharmaceutical ingredients in nature. Hindawi 2020-06-24 /pmc/articles/PMC7333037/ /pubmed/32670374 http://dx.doi.org/10.1155/2020/8274193 Text en Copyright © 2020 Beibei Ma et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ma, Beibei
Li, Jiameng
Lou, Tianyu
Liang, Yaoyue
Wang, Chenxiao
Li, Ruiji
Wang, Tingting
Liu, Jinhui
Guo, Yudong
Wang, Zhibin
Wang, Jing
Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title_full Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title_fullStr Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title_full_unstemmed Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title_short Comprehensive Screening and Identification of Phillyrin Metabolites in Rats Based on UHPLC-Q-Exactive Mass Spectrometry Combined with Multi-Channel Data Mining
title_sort comprehensive screening and identification of phillyrin metabolites in rats based on uhplc-q-exactive mass spectrometry combined with multi-channel data mining
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333037/
https://www.ncbi.nlm.nih.gov/pubmed/32670374
http://dx.doi.org/10.1155/2020/8274193
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