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Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry

INTRODUCTION: Traditional herbal medicine (THM) contains a vast number of natural compounds with varying degrees of pharmacological activity. To elucidate the mode of action, comprehensive metabolite profiling in the plasma before and after administration of THM is essential. OBJECTIVE: The aim of t...

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Autores principales: Ohbuchi, Katsuya, Sakurai, Nozomu, Kitagawa, Hiroyuki, Sato, Masaru, Suzuki, Hideyuki, Kushida, Hirotaka, Nishi, Akinori, Yamamoto, Masahiro, Hanazaki, Kazuhiro, Arita, Masanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183508/
https://www.ncbi.nlm.nih.gov/pubmed/32335721
http://dx.doi.org/10.1007/s11306-020-01681-3
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author Ohbuchi, Katsuya
Sakurai, Nozomu
Kitagawa, Hiroyuki
Sato, Masaru
Suzuki, Hideyuki
Kushida, Hirotaka
Nishi, Akinori
Yamamoto, Masahiro
Hanazaki, Kazuhiro
Arita, Masanori
author_facet Ohbuchi, Katsuya
Sakurai, Nozomu
Kitagawa, Hiroyuki
Sato, Masaru
Suzuki, Hideyuki
Kushida, Hirotaka
Nishi, Akinori
Yamamoto, Masahiro
Hanazaki, Kazuhiro
Arita, Masanori
author_sort Ohbuchi, Katsuya
collection PubMed
description INTRODUCTION: Traditional herbal medicine (THM) contains a vast number of natural compounds with varying degrees of pharmacological activity. To elucidate the mode of action, comprehensive metabolite profiling in the plasma before and after administration of THM is essential. OBJECTIVE: The aim of this study was to explore and identify/annotate converted metabolites after administration of THM in humans. METHODS: We performed untargeted metabolome analysis of human plasma collected before and after administration of maoto (ma-huang-tang), a traditional Japanese Kampo medicine. Maoto-derived metabolites were then selected and annotated following the DAC-Met strategy, which is an annotation method that uses mass differences of major metabolic reactions among the detected peaks and a differential network analysis. RESULTS: About 80% of maoto-derived components were found to be converted forms. Following DAC-Met, the structures of 15 previously unidentified metabolites were determined, and five of these were later confirmed with authentic standards. Using published literature, we also reconstructed the metabolic pathway of maoto components in humans. A kinetic time-course analysis revealed their diverse kinetic profiles. CONCLUSION: The results demonstrated that time-resolved comprehensive metabolite profiling in plasma using the DAC-Met strategy is highly useful for elucidating the complex nature of THM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01681-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-71835082020-04-29 Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry Ohbuchi, Katsuya Sakurai, Nozomu Kitagawa, Hiroyuki Sato, Masaru Suzuki, Hideyuki Kushida, Hirotaka Nishi, Akinori Yamamoto, Masahiro Hanazaki, Kazuhiro Arita, Masanori Metabolomics Original Article INTRODUCTION: Traditional herbal medicine (THM) contains a vast number of natural compounds with varying degrees of pharmacological activity. To elucidate the mode of action, comprehensive metabolite profiling in the plasma before and after administration of THM is essential. OBJECTIVE: The aim of this study was to explore and identify/annotate converted metabolites after administration of THM in humans. METHODS: We performed untargeted metabolome analysis of human plasma collected before and after administration of maoto (ma-huang-tang), a traditional Japanese Kampo medicine. Maoto-derived metabolites were then selected and annotated following the DAC-Met strategy, which is an annotation method that uses mass differences of major metabolic reactions among the detected peaks and a differential network analysis. RESULTS: About 80% of maoto-derived components were found to be converted forms. Following DAC-Met, the structures of 15 previously unidentified metabolites were determined, and five of these were later confirmed with authentic standards. Using published literature, we also reconstructed the metabolic pathway of maoto components in humans. A kinetic time-course analysis revealed their diverse kinetic profiles. CONCLUSION: The results demonstrated that time-resolved comprehensive metabolite profiling in plasma using the DAC-Met strategy is highly useful for elucidating the complex nature of THM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01681-3) contains supplementary material, which is available to authorized users. Springer US 2020-04-25 2020 /pmc/articles/PMC7183508/ /pubmed/32335721 http://dx.doi.org/10.1007/s11306-020-01681-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Ohbuchi, Katsuya
Sakurai, Nozomu
Kitagawa, Hiroyuki
Sato, Masaru
Suzuki, Hideyuki
Kushida, Hirotaka
Nishi, Akinori
Yamamoto, Masahiro
Hanazaki, Kazuhiro
Arita, Masanori
Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title_full Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title_fullStr Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title_full_unstemmed Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title_short Differential annotation of converted metabolites (DAC-Met): Exploration of Maoto (Ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
title_sort differential annotation of converted metabolites (dac-met): exploration of maoto (ma-huang-tang)-derived metabolites in plasma using high-resolution mass spectrometry
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183508/
https://www.ncbi.nlm.nih.gov/pubmed/32335721
http://dx.doi.org/10.1007/s11306-020-01681-3
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