Literature DB >> 30368117

Phenotyping analysis of the Japanese Kampo medicine maoto in healthy human subjects using wide-targeted plasma metabolomics.

Hiroyuki Kitagawa1, Katsuya Ohbuchi2, Masaya Munekage1, Kazune Fujisawa1, Yasuhiro Kawanishi1, Tsutomu Namikawa1, Hirotaka Kushida3, Takashi Matsumoto3, Chika Shimobori3, Akinori Nishi3, Chiharu Sadakane3, Junko Watanabe3, Masahiro Yamamoto3, Kazuhiro Hanazaki1.   

Abstract

Traditional herbal medicine (THM) consists of a vast number of compounds that exert pharmacological effects throughout the body. Comprehensive phenotyping analysis using omics is essential for understanding the nature of THM in detail. We previously reported that the Japanese Kampo medicine maoto ameliorated flu-like symptoms in a rat infection model and dynamically changed plasma metabolites as indicated by metabolome analysis. The aim of this study was to apply wide-targeted plasma metabolomics with quantitative analysis of maoto compounds in a human clinical trial to evaluate the effect of maoto on plasma metabolites. Four healthy human subjects were recruited. Plasma samples were collected before and 0.25, 0.5, 1, 2, 4 and 8 h after maoto treatment. Wide-targeted metabolomics and quantitative analysis of the main chemical constituents of maoto were then performed. Plasma metabolome analysis revealed that maoto administration decreased essential amino acids including branched-chain amino acids (BCAAs) and increased various kinds of ω-3 fatty acids including eicosapentaenoic acid and docosahexaenoic acid, consistent with previous studies in rats. Fifteen of the major compounds in maoto were identified in the systemic circulation. Finally, the correlation between endogenous metabolites and maoto compounds in plasma was analyzed and the results indicated that the decrease in plasma BCAAs might be caused by ephedrines present in maoto. The present study demonstrated that plasma metabolomic studies of endogenous and exogenous metabolites are useful for elucidating the mechanism of action of THM.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

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Keywords:  Clinical study; Metabolomics; Traditional herbal medicine

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Year:  2018        PMID: 30368117     DOI: 10.1016/j.jpba.2018.10.026

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  3 in total

1.  A Traditional Chinese Medicine, Maoto, Suppresses Hepatitis B Virus Production.

Authors:  Md Arifur Rahman; Keiji Ueda; Tomoyuki Honda
Journal:  Front Cell Infect Microbiol       Date:  2021-01-22       Impact factor: 5.293

2.  CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.

Authors:  Dinesh Kumar Barupal; Priyanka Mahajan; Sadjad Fakouri-Baygi; Robert O Wright; Manish Arora; Susan L Teitelbaum
Journal:  Environ Int       Date:  2022-04-18       Impact factor: 13.352

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

Authors:  Katsuya Ohbuchi; Nozomu Sakurai; Hiroyuki Kitagawa; Masaru Sato; Hideyuki Suzuki; Hirotaka Kushida; Akinori Nishi; Masahiro Yamamoto; Kazuhiro Hanazaki; Masanori Arita
Journal:  Metabolomics       Date:  2020-04-25       Impact factor: 4.290

  3 in total

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