Anti‐Inflammatory Effects of Fermented Bark of <i>Acanthopanax sessiliflorus</i> and Its Isolated Compounds on Lipopolysaccharide‐Treated RAW 264.7 Macrophage Cells

Kim, Min Ji; Wang, Hye Soo; Lee, Min Won

doi:10.1155/2020/6749425

Cited by 19 publications

(11 citation statements)

References 28 publications

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“…Seven plant species showed high inhibitory activity on NO production, namely Commelina communis, Elaeagnus umbellata, Eleutherococcus sessiliflorus, P. orientalis, Pinus densiflora, Zanthoxylum schinifolium, and Sophora flavescens , as determined by the 3- (4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The results are in line with those of previous studies wherein plant species were revealed to have anti-inflammatory effects [ 35 , 36 , 37 , 38 , 39 , 40 ]. The antioxidant activity of 50 samples ( Figure S2 ) is presented as the standard of Trolox equivalent antioxidant activity.…”

Section: Resultssupporting

confidence: 92%

Nontargeted Metabolomics as a Screening Tool for Estimating Bioactive Metabolites in the Extracts of 50 Indigenous Korean Plants

et al. 2021

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Many indigenous Korean plants have been used in medicinal preparations and health-promoting foods. These plant species contain beneficial metabolites with various bioactivities, such as antioxidant and anti-inflammatory activities. Herein, we suggest a new screening strategy using metabolomics to explore the bioactive compounds in 50 Korean plants. Secondary metabolites were analyzed using UHPLC-LTQ-Orbitrap-MS/MS. The plant extracts were subjected to antioxidant and anti-inflammatory assays. We identified metabolites that contributed to bioactivities according to the results of bioassays and multivariate analyses. Using Pearson’s correlation, phenolics (e.g., casuarictin, 3-O-methylellagic acid) showed positive correlation with antioxidant activity, while biflavonoids (e.g., amentoflavone, rosbustaflavone) were correlated with nitric oxide (NO) inhibition activity. To compensate for the limitation of this new strategy, we further validated these by investigating three parts (branches, fruits, leaves) of Platycladus orientalis which showed high activities on both bioassays. Unlike the above observation, we identified significantly different metabolites from different parts, which was not the results of bioassays. In these validation steps, interestingly, biflavonoids (e.g., robustaflavone, sciadopitysin) contributed to both activities in P. orientalis. The findings of this work suggest that new strategy could be more beneficial in the identification of bioactive plant species as well as that of their corresponding bioactive compounds that impart the bioactivity.

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Section: Resultssupporting

confidence: 92%

Nontargeted Metabolomics as a Screening Tool for Estimating Bioactive Metabolites in the Extracts of 50 Indigenous Korean Plants

et al. 2021

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“…The NMR spectra of compounds 1 and 2 indicated phenolic acids [protocatechuic acid (1) and caffeic acid (2)], and their spectral data were compared with those of previous studies [20][21][22][23]. Signals of the ABX splitting type in the aromatic ring were observed in both compounds.…”

Section: Resultsmentioning

confidence: 92%

Phytochemical constituents of Lactuca serriola leaves and their content analysis by HPLC-UV

Kim

Lee

Choi

et al. 2022

JABC

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This study aimed to identify the phytochemical constituents of Lactuca serriola leaves and perform quantitative analysis of the methanol (MeOH) extract of L. serriola, L. indica, L. raddeana, L. sativa, and L. triangulata. Six compounds were isolated from the MeOH extracts of L. serriola using open column chromatography and identified as protocatechuic acid (1), caffeic acid (2), cynaroside (3), apigenin 7-glucuronide (4), luteolin (5), and apigenin ( 6) using 1 H-, 13 C-nuclear magnetic resonance, and mass spectrometry. Quantitative analysis of the six compounds was performed on the MeOH extract of Lactuca species using high-performance liquid chromatography (HPLC) and an ultraviolet (UV). A reverse-phased column was used, and the UV absorbance was set to 280 nm. The contents of compounds 2 and 3 were the highest (1.58 and 2.64 mg/g ext., respectively) in L. serriola extracts. However, compounds 4 and 6 were higher (1.46 and 0.40 mg/g ext., respectively) in L. triangulata. These results provide quantitative data for the application of Lactuca species in the pharmaceutical and functional food industries.

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“…Kim showed that the fermented extract of Schisandra chinensis had strong anti-inflammatory activity, and contained acanthoside B. 24 The specific performance was the reduction of nitric oxide (NO) production, inhibition of iNOS, and COX-2, pro-inflammatory cytokines (IL-6), and tumor necrosis factor (TNF-2). At the same time, another study showed that neohesperidin antagonized TGF-β1/ Smad3 signaling and played a role in idiopathic pulmonary fibrosis.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Active Components and Mechanism of Three Prescriptions in the Treatment of COVID-19 Via Network Pharmacology and Molecular Docking

Wang

Chen

Liu

et al. 2021

Natural Product Communications

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Purpose: Prescriptions of Han-Shi-Yu-Fei (HSYF), Han-Shi-Zu-Fei (HSZF), and Yi-Du-Bi-Fei (YDBF) were effective in treating COVID-19. Based on network pharmacology and molecular docking, overlapping Traditional Chinese medicines (TCMs), their active components, and core targets were explored in this study. Methods: First, the overlapping TCMs and their active components were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) by evaluating Oral Bioactivity (OB) and Drug Likeness (DL). The overlapping targets of potential components and COVID-19 were collected by SwissTargetPrediction, Gene Cards, and Venn 2.1.0 databases. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were analyzed via DAVID6.8.1 database. Through comprehensive analysis of the “prescriptions-TCMs-components” (P-T-C), “components-targets-pathways” (C-T-P) and “protein–protein interaction” (PPI) networks constructed by Cytoscape 3.7.1 software, the active components and core targets were obtained. Finally, the binding energies of these components with ACE2 and SARS-CoV-2 3CL were analyzed by AutDockTools-1.5.6 and PyMOL software. Results: In all, five overlapping TCMs, 40 potential active components, and 47 candidate targets were obtained and analyzed in these prescriptions. There were 288 GO entries ( P < 0.05), including 211 biological process (BP), 40 cell composition (CC), and 37 molecular function (MF) entries. Most of the 105 KEGG pathways ( P < 0.05) were involved with viral infection and inflammation. Through “PPI” and “C-T-P” networks, the core targets (EGFR, PTGS2, CDK2, GSK3B, PIK3R1, and MAPK3) and active components (Q27134551, acanthoside B, neohesperidin, and irisolidone) with high degrees were obtained. Molecular docking results showed that the above-mentioned four components could inhibit the binding of ACE2 and SARS-COV-2 3CL to protect against COVID-19. Conclusion: In this study, the active components and core targets of three prescriptions in the treatment of COVID-19 were elaborated by network pharmacology and molecular docking, providing a reference for their applications.

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Anti‐Inflammatory Effects of Fermented Bark of Acanthopanax sessiliflorus and Its Isolated Compounds on Lipopolysaccharide‐Treated RAW 264.7 Macrophage Cells

Cited by 19 publications

References 28 publications

Nontargeted Metabolomics as a Screening Tool for Estimating Bioactive Metabolites in the Extracts of 50 Indigenous Korean Plants

Nontargeted Metabolomics as a Screening Tool for Estimating Bioactive Metabolites in the Extracts of 50 Indigenous Korean Plants

Phytochemical constituents of Lactuca serriola leaves and their content analysis by HPLC-UV

Analysis of the Active Components and Mechanism of Three Prescriptions in the Treatment of COVID-19 Via Network Pharmacology and Molecular Docking

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