J Pharm Biomed Anal
Department of Surgery, Kochi Medical School, Kochi University, Kochi, Japan.
Published: February 2019
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.
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http://dx.doi.org/10.1016/j.jpba.2018.10.026 | DOI Listing |
Front Pharmacol
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Sci Rep
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Department of Food Science and Technology, Faculty of Science, Engineering and Agriculture, University of Venda, Private Bag 5050, Thohoyandou, Limpopo, 0950, South Africa.
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Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo.
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