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      Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis

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          Abstract

          Plant-derived natural products have long been considered a valuable source of lead compounds for drug development. Natural extracts are usually composed of hundreds to thousands of metabolites, whereby the bioactivity of natural extracts can be represented by synergism between several metabolites. However, isolating every single compound from a natural extract is not always possible due to the complex chemistry and presence of most secondary metabolites at very low levels. Metabolomics has emerged in recent years as an indispensable tool for the analysis of thousands of metabolites from crude natural extracts, leading to a paradigm shift in natural products drug research. Analytical methods such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) are used to comprehensively annotate the constituents of plant natural products for screening, drug discovery as well as for quality control purposes such as those required for phytomedicine. In this review, the current advancements in plant sample preparation, sample measurements, and data analysis are presented alongside a few case studies of the successful applications of these processes in plant natural product drug discovery.

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          Most cited references210

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          MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis

          Data-independent acquisition (DIA) in liquid chromatography tandem mass spectrometry (LC-MS/MS) provides more comprehensive untargeted acquisition of molecular data. Here we provide an open-source software pipeline, MS-DIAL, to demonstrate how DIA improves simultaneous identification and quantification of small molecules by mass spectral deconvolution. For reversed phase LC-MS/MS, our program with an enriched LipidBlast library identified total 1,023 lipid compounds from nine algal strains to highlight their chemotaxonomic relationships.
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            Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics.

            Accurate profiling of lipidomes relies upon the quantitative and unbiased recovery of lipid species from analyzed cells, fluids, or tissues and is usually achieved by two-phase extraction with chloroform. We demonstrated that methyl-tert-butyl ether (MTBE) extraction allows faster and cleaner lipid recovery and is well suited for automated shotgun profiling. Because of MTBE's low density, lipid-containing organic phase forms the upper layer during phase separation, which simplifies its collection and minimizes dripping losses. Nonextractable matrix forms a dense pellet at the bottom of the extraction tube and is easily removed by centrifugation. Rigorous testing demonstrated that the MTBE protocol delivers similar or better recoveries of species of most all major lipid classes compared with the "gold-standard" Folch or Bligh and Dyer recipes.
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              MassBank: a public repository for sharing mass spectral data for life sciences.

              MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron-ionization mass spectrometry (EI-MS), 137 fast atom bombardment MS and 9276 electrospray ionization (ESI)-MS(n) data of 2337 authentic compounds of metabolites, 11 545 EI-MS and 834 other-MS data of 10,286 volatile natural and synthetic compounds, and 3045 ESI-MS(2) data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS(2) data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass-to-charge ratio are optimized to the ESI-MS(2) data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS(2) data on an identical compound under different collision-induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21-23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. 2010 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Metabolites
                Metabolites
                metabolites
                Metabolites
                MDPI
                2218-1989
                15 January 2020
                January 2020
                : 10
                : 1
                : 37
                Affiliations
                [1 ]Department of Pharmacognosy, Faculty of Pharmacy, Menoufia University, Gamal Abd El Nasr st., Shibin Elkom, Menoufia 32511, Egypt
                [2 ]Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany; LPerez@ 123456mpimp-golm.mpg.de (L.P.d.S.); Fernie@ 123456mpimp-golm.mpg.de (A.R.F.)
                [3 ]Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, Cairo 11751, Egypt; Ahmedserag777@ 123456azhar.edu.eg
                [4 ]Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv 4000, Bulgaria
                [5 ]Pharmacognosy Department, Faculty of Pharmacy, Cairo University, Cairo 11562, Egypt; Mohamed.farag@ 123456pharma.cu.edu.eg (M.A.F.); shahira.ezzat@ 123456pharma.cu.edu.eg (S.M.E.)
                [6 ]Chemistry Department, School of Sciences & Engineering, The American University in Cairo, New Cairo 11835, Egypt
                [7 ]Department of Pharmacognosy, Faculty of Pharmacy, October University for Modern Sciences and Arts (MSA), Giza 11787, Egypt
                Author notes
                [* ]Correspondence: mohamed.salem@ 123456phrm.menofia.edu.eg (M.A.S.); Alseekh@ 123456mpimp-golm.mpg.de (S.A.); Tel.: +49-(0)331-567-8211 (S.A.)
                Author information
                https://orcid.org/0000-0003-1559-8079
                Article
                metabolites-10-00037
                10.3390/metabo10010037
                7023240
                31952212
                20532a4a-51c5-4a39-897b-bde2b43caa12
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 November 2019
                : 11 January 2020
                Categories
                Review

                metabolomics,plant natural products,drug discovery,metabolite extraction,liquid chromatography,gas chromatography,mass spectrometry,nmr

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