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      Molecular Network-Guided Alkaloid Profiling of Aerial Parts of Papaver nudicaule L. Using LC-HRMS

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          Abstract

          Papaver nudicaule L. (Iceland poppy) is widely used for ornamental purposes. A previous study demonstrated the alleviation of lipopolysaccharide-induced inflammation mediated by P. nudicaule extract through nuclear factor-kappa B and signal transducer and activator of transcription 3 inactivation. As isoquinoline alkaloids are chemical markers and bioactive constituents of Papaver species, the present study investigated the alkaloid profile of aerial parts of five P. nudicaule cultivars with different flower colors and a P. rhoeas cropped for two years. A combination of liquid chromatography high-resolution mass spectrometry and molecular networking was used to cluster isoquinoline alkaloids in the species and highlight the possible metabolites. Aside from the 12 compounds, including rotundine, muramine, and allocryptopine, identified from Global Natural Products Social library and reported information, 46 structurally related metabolites were quantitatively investigated. Forty-two and 16 compounds were proposed for chemical profiles of P. nudicaule and P. rhoeas, respectively. Some species-specific metabolites showed similar fragmentation patterns. The alkaloid abundance of P. nudicaule differed depending on the flower color, and the possible chemical markers were proposed. These results show that molecular networking-guided dereplication allows investigation of unidentified metabolites. The derived chemical profile may facilitate evaluation of P. nudicaule quality for pharmacological applications.

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          MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools

          Metabolomics has started to embrace computational approaches for chemical interpretation of large data sets. Yet, metabolite annotation remains a key challenge. Recently, molecular networking and MS2LDA emerged as molecular mining tools that find molecular families and substructures in mass spectrometry fragmentation data. Moreover, in silico annotation tools obtain and rank candidate molecules for fragmentation spectra. Ideally, all structural information obtained and inferred from these computational tools could be combined to increase the resulting chemical insight one can obtain from a data set. However, integration is currently hampered as each tool has its own output format and efficient matching of data across these tools is lacking. Here, we introduce MolNetEnhancer, a workflow that combines the outputs from molecular networking, MS2LDA, in silico annotation tools (such as Network Annotation Propagation or DEREPLICATOR), and the automated chemical classification through ClassyFire to provide a more comprehensive chemical overview of metabolomics data whilst at the same time illuminating structural details for each fragmentation spectrum. We present examples from four plant and bacterial case studies and show how MolNetEnhancer enables the chemical annotation, visualization, and discovery of the subtle substructural diversity within molecular families. We conclude that MolNetEnhancer is a useful tool that greatly assists the metabolomics researcher in deciphering the metabolome through combination of multiple independent in silico pipelines.
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            A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms

            We report a computational approach (implemented in MS-DIAL 3.0; http://prime.psc.riken.jp/) for metabolite structure characterization using fully 13C-labeled and non-labeled plants and LC-MS/MS. Our approach facilitates carbon number determination and metabolite classification for unknown molecules. Applying our method to 31 tissues from 12 plant species, we assigned 1,092 structures and 344 formulae to 3,604 carbon-determined metabolite ions, 69 of which were found to represent structures currently not listed in metabolome databases.
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              Sanguinaria canadensis: Traditional Medicine, Phytochemical Composition, Biological Activities and Current Uses

              Sanguinaria canadensis, also known as bloodroot, is a traditional medicine used by Native Americans to treat a diverse range of clinical conditions. The plants rhizome contains several alkaloids that individually target multiple molecular processes. These bioactive compounds, mechanistically correlate with the plant’s history of ethnobotanical use. Despite their identification over 50 years ago, the alkaloids of S. canadensis have not been developed into successful therapeutic agents. Instead, they have been associated with clinical toxicities ranging from mouthwash induced leukoplakia to cancer salve necrosis and treatment failure. This review explores the historical use of S. canadensis, the molecular actions of the benzophenanthridine and protopin alkaloids it contains, and explores natural alkaloid variation as a possible rationale for the inconsistent efficacy and toxicities encountered by S. canadensis therapies. Current veterinary and medicinal uses of the plant are studied with an assessment of obstacles to the pharmaceutical development of S. canadensis alkaloid based therapeutics.
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                Author and article information

                Journal
                Molecules
                Molecules
                molecules
                Molecules
                MDPI
                1420-3049
                05 June 2020
                June 2020
                : 25
                : 11
                : 2636
                Affiliations
                [1 ]Korean Medicine Clinical Trial Center (K-CTC), Kyung Hee University Korean Medicine Hospital, Seoul 02454, Korea; siwcazb0@ 123456gmail.com (K.S.); papermint221@ 123456gmail.com (M.Y.L.)
                [2 ]Gene Engineering Division, National institute of Agricultural Sciences, Rural Development administration, Jeonju-si, Jeollabuk-do 54874, Korea; jhoh8288@ 123456korea.kr
                [3 ]Department of Science in Korean Medicine, KHU-KIST Department of Converging Science & Technology, and Bionanocomposite Research Center, Kyung Hee University, Seoul 02447, Korea
                [4 ]Department of Clinical Korean Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea
                Author notes
                [* ]Correspondence: seokgeun@ 123456khu.ac.kr (S.-G.L.); ijha@ 123456khu.ac.kr (I.J.H.); Tel.: +82-2-958-9493 (I.J.H.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-1100-6953
                https://orcid.org/0000-0002-0060-5777
                https://orcid.org/0000-0002-9210-1401
                Article
                molecules-25-02636
                10.3390/molecules25112636
                7321159
                32517053
                0d29e61d-fa6f-49c6-853a-97d363f5a59d
                © 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
                : 12 May 2020
                : 02 June 2020
                Categories
                Article

                papaver nudicaule,alkaloids,lc-ms/ms chemical profiling,gnps molecular networking

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