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      UPLC-QTOF-MS based metabolomics coupled with the diagnostic ion exploration strategy for rapidly evaluating sulfur-fumigation caused holistic quality variation in medicinal herbs, Moutan Cortex as an example

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          Abstract

          A novel LC-MS based metabolomics strategy for holistic quality evaluation of sulfur-fumigated herb.

          Abstract

          In the present study, a new strategy using UPLC-QTOF-MS based metabolomics coupled with diagnostic ion exploration for rapidly evaluating sulfur-fumigation caused holistic quality variation in medicinal herbs was proposed and validated by employing Moutan Cortex (MC), a commonly used traditional Chinese medicinal herb, as an example. First, the UPLC-QTOF-MS data of MC and sulfur-fumigated MC (S-MC) were subjected to unsupervised segregation principal component analysis (PCA) and supervised orthogonal partial least squares discriminant analysis (OPLS-DA), three chemical markers in S-MC were rapidly found and structurally elucidated to be pinane monoterpene glucoside sulfonates; then, after exploring the MS fragmentation pattern of these chemical markers, a common sulfur-containing ion m/ z 259 was selected as the diagnostic ion, and additional seven pinane monoterpene glucoside sulfonates were detected and identified in S-MS with the diagnostic ion extraction; finally, the holistic quality variation in MC was further dissected by dynamic determination of these ten characteristic components at different durations of sulfur-fumigation. All the results indicated that sulfur-fumigation can induce chemical transformation of pinane monoterpene glucosides in MC, and the duration of sulfur-fumigation was a decisive factor in the holistic quality variation in S-MC, and that the proposed strategy should be applicable for rapid evaluation of sulfur-fumigation caused holistic quality variation in other medicinal herbs.

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          Most cited references36

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          Metabolomics: Current analytical platforms and methodologies

          (2005)
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            Current practice of liquid chromatography-mass spectrometry in metabolomics and metabonomics.

            Based on publication and citation numbers liquid chromatography (LC-MS) has become the major analytical technology in the field of global metabolite profiling. This dominance reflects significant investments from both the research community and instrument manufacturers. Here an overview of the approaches taken for LC-MS-based metabolomics research is given, describing critical steps in the realisation of such studies: study design and its needs, specific technological problems to be addressed and major obstacles in data treatment and biomarker identification. The current state of the art for LC-MS-based analysis in metabonomics/metabolomics is described including recent developments in liquid chromatography, mass spectrometry and data treatment as these are applied in metabolomics underlining the challenges, limitations and prospects for metabolomics research. Examples of the application of metabolite profiling in the life sciences focusing on disease biomarker discovery are highlighted. In addition, new developments and future prospects are described. Copyright © 2013 Elsevier B.V. All rights reserved.
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              Urine metabolomics analysis for biomarker discovery and detection of jaundice syndrome in patients with liver disease.

              Metabolomics is a powerful new technology that allows for the assessment of global metabolic profiles in easily accessible biofluids and biomarker discovery in order to distinguish between diseased and nondiseased status information. Deciphering the molecular networks that distinguish diseases may lead to the identification of critical biomarkers for disease aggressiveness. However, current diagnostic methods cannot predict typical Jaundice syndrome (JS) in patients with liver disease and little is known about the global metabolomic alterations that characterize JS progression. Emerging metabolomics provides a powerful platform for discovering novel biomarkers and biochemical pathways to improve diagnostic, prognostication, and therapy. Therefore, the aim of this study is to find the potential biomarkers from JS disease by using a nontarget metabolomics method, and test their usefulness in human JS diagnosis. Multivariate data analysis methods were utilized to identify the potential biomarkers. Interestingly, 44 marker metabolites contributing to the complete separation of JS from matched healthy controls were identified. Metabolic pathways (Impact-value≥0.10) including alanine, aspartate, and glutamate metabolism and synthesis and degradation of ketone bodies were found to be disturbed in JS patients. This study demonstrates the possibilities of metabolomics as a diagnostic tool in diseases and provides new insight into pathophysiologic mechanisms.
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                Author and article information

                Journal
                AMNECT
                Analytical Methods
                Anal. Methods
                Royal Society of Chemistry (RSC)
                1759-9660
                1759-9679
                2016
                2016
                : 8
                : 5
                : 1034-1043
                Affiliations
                [1 ]Department of Pharmaceutical Analysis
                [2 ]Affiliated Hospital of Integrated Traditional Chinese and Western Medicine
                [3 ]Nanjing University of Chinese Medicine
                [4 ]Nanjing
                [5 ]People's Republic of China
                [6 ]School of Chinese Medicine
                [7 ]Hong Kong Baptist University
                [8 ]Hong Kong
                [9 ]Department of Metabolomics
                [10 ]Jiangsu Province Academy of Traditional Chinese Medicine
                [11 ]Department of Neurology
                Article
                10.1039/C5AY01404B
                cf043622-fc16-47e6-afab-6eb19369a98b
                © 2016
                History

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