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      Characterization and Optimization of the Tyrosinase Inhibitory Activity of Vitis amurensis Root Using LC-Q-TOF-MS Coupled with a Bioassay and Response Surface Methodology

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          Abstract

          Vitis amurensis roots have been reported to have the potential for skin whitening through the evaluation of melanogenesis and tyrosinase inhibitory activities. In this study, V. amurensis roots were utilized to quickly select whitening ingredients using LC-Q-TOF-MS coupled with tyrosinase inhibitory assay, and to optimize the extraction process for use as a skin whitening functional material by response surface methodology. Results showed that V. amurensis roots exhibited tyrosinase inhibitory effects by two stilbene oligomers, ε-viniferin ( 1) and vitisin B ( 2), as predicted by LC-Q-TOF-MS coupled with bioassay. The optimal extraction conditions (methanol concentration 66%, solvent volume 140 mL, and extraction time 100 min) for skin whitening ingredients were established with the yields 6.20%, and tyrosinase inhibitory activity was 87.27%. The relationship between each factor and its corresponding response was confirmed by Pearson’s correlation analysis. The solvent volume showed clear linear relationship with yields, and methanol concentration had a strong linear relationship with tyrosinase inhibitory activity for compounds 1 and 2, as well as their combination. Overall, LC-Q-TOF-MS coupled with bioassay was proved to have the potential to effectively find new active constituents, as well as known active constituents; vitisin B can be proposed as a new natural potential whitening agent.

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          Response surface methodology (RSM) as a tool for optimization in analytical chemistry.

          A review about the application of response surface methodology (RSM) in the optimization of analytical methods is presented. The theoretical principles of RSM and steps for its application are described to introduce readers to this multivariate statistical technique. Symmetrical experimental designs (three-level factorial, Box-Behnken, central composite, and Doehlert designs) are compared in terms of characteristics and efficiency. Furthermore, recent references of their uses in analytical chemistry are presented. Multiple response optimization applying desirability functions in RSM and the use of artificial neural networks for modeling are also discussed.
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            Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process.

            A review on the application of response surface methodology (RSM) and artificial neural networks (ANN) in biosorption modelling and optimization is presented. The theoretical background of the discussed methods with the application procedure is explained. The paper describes most frequently used experimental designs, concerning their limitations and typical applications. The paper also presents ways to determine the accuracy and the significance of model fitting for both methodologies described herein. Furthermore, recent references on biosorption modelling and optimization with the use of RSM and the ANN approach are shown. Special attention was paid to the selection of factors and responses, as well as to statistical analysis of the modelling results. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              Anti-Inflammatory Effect of Procyanidins from Wild Grape (Vitis amurensis) Seeds in LPS-Induced RAW 264.7 Cells

              In the present study, the anti-inflammatory effect and underlying mechanisms of wild grape seeds procyanidins (WGP) were examined using lipopolysaccharide- (LPS-) stimulated RAW 264.7 cells. We used nitric oxide (NO) and prostaglandin E2 (PGE2) and reactive oxygen species (ROS) assays to examine inhibitory effect of WGP and further investigated the mechanisms of WGP suppressed LPS-mediated genes and upstream expression by Western blot and confocal microscopy analysis. Our data indicate that WGP significantly reduced NO, PGE2, and ROS production and also inhibited the expression of proinflammatory mediators such as inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) protein expressions. Consistently, WGP significantly reduced LPS-stimulated expression of proinflammatory cytokines such as tumor necrosis factor α (TNF- α ) and interleukin- (IL-) 1 β . Moreover, WGP prevented nuclear translocation of nuclear factor- κ B (NF κ B) p65 subunit by reducing inhibitory κ B- α (I κ B α ) and NF κ B phosphorylation. Furthermore, we found that WGP inhibited LPS-induced phosphorylation of p38 mitogen-activated protein kinase (MAPK). Taken together, our results demonstrated that WGP exerts potent anti-inflammatory activity through the inhibition of iNOS and COX-2 by regulating NF κ B and p38 MAPK pathway.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Molecules
                Molecules
                molecules
                Molecules
                MDPI
                1420-3049
                16 January 2021
                January 2021
                : 26
                : 2
                : 446
                Affiliations
                [1 ]College of Pharmacy, Korea University, Sejong 30019, Korea; ok1000sa@ 123456korea.ac.kr (K.-E.O.); hjshin90@ 123456korea.ac.kr (H.S.)
                [2 ]College of Pharmacy, Chungbuk National University, Cheongju 28160, Korea; mklee@ 123456chungbuk.ac.kr
                [3 ]College of Pharmacy, Keimyung University, Daegu 42403, Korea
                Author notes
                [* ]Correspondence: bdpark@ 123456kmu.ac.kr (B.P.); kylee11@ 123456korea.ac.kr (K.Y.L.); Tel.: +82-53-580-6653 (B.P.); +82-44-860-1623 (K.Y.L.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-6191-4485
                Article
                molecules-26-00446
                10.3390/molecules26020446
                7830106
                33467011
                6025c16b-ec61-432e-a824-dad356b367c4
                © 2021 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
                : 03 December 2020
                : 14 January 2021
                Categories
                Article

                vitis amurensis,lc-q-tof-ms coupled with tyrosinase inhibitory assay,response surface methodology,pearson’s correlation

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