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      Total Flavonoids of Rhizoma Drynariae Treat Osteoarthritis by Inhibiting Arachidonic Acid Metabolites Through AMPK/NFκB Pathway

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          Abstract

          Objective

          Previous clinical studies have found that total flavonoids of Rhizoma Drynariae (TFRD) have a good therapeutic effect on osteoarthritis (OA), but its therapeutic mechanism needs further research.

          Methods

          OA rat model was established by Hulth method and was intervened by TFRD. Pathological assessments were conducted to assess the protective effect of TFRD on cartilage. Serum metabolomics and network pharmacology were detected to predict the mechanism of TFRD treating OA. In further experiments, molecular biology experiment was carried out to confirm the predicted mechanisms in vivo and in vitro.

          Results

          TFRD can effectively reduce chondrocyte apoptosis and cartilage degeneration in OA model rats. Serum metabolomics revealed that the intervention effect may be closely related to arachidonic acid metabolism pathway. Network pharmacologic prediction showed that COX-2 was the key target of TFRD in treating OA, and its mechanism might be related with NFκB, apoptosis, AMPK and arachidonic acid metabolism pathway. In vivo experiments indicated that TFRD can inhibit the abnormal expression of COX-2 mRNA in OA model rats. In the in vitro studies, the expression of COX-2 mRNA and protein increased, AMPK phosphorylation was inhibited, and NFκB signaling pathway was activated in IL-1β-induced chondrocytes, and these changes can be reversed by TFRD. After the activation of AMPK signaling pathway or the block-down of NFκB signaling pathway, the effect of TFRD on COX-2 mRNA expression was significantly weakened.

          Conclusion

          TFRD can inhibit COX-2-mediated arachidonic acid metabolites, and its mechanism is closely related to AMPK/NFκB pathway, which may be a key mechanism in the treatment of OA.

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          Most cited references53

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          Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

          A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
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            The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets

            Abstract Cellular life depends on a complex web of functional associations between biomolecules. Among these associations, protein–protein interactions are particularly important due to their versatility, specificity and adaptability. The STRING database aims to integrate all known and predicted associations between proteins, including both physical interactions as well as functional associations. To achieve this, STRING collects and scores evidence from a number of sources: (i) automated text mining of the scientific literature, (ii) databases of interaction experiments and annotated complexes/pathways, (iii) computational interaction predictions from co-expression and from conserved genomic context and (iv) systematic transfers of interaction evidence from one organism to another. STRING aims for wide coverage; the upcoming version 11.5 of the resource will contain more than 14 000 organisms. In this update paper, we describe changes to the text-mining system, a new scoring-mode for physical interactions, as well as extensive user interface features for customizing, extending and sharing protein networks. In addition, we describe how to query STRING with genome-wide, experimental data, including the automated detection of enriched functionalities and potential biases in the user's query data. The STRING resource is available online, at https://string-db.org/.
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              TCMSP: a database of systems pharmacology for drug discovery from herbal medicines

              Background Modern medicine often clashes with traditional medicine such as Chinese herbal medicine because of the little understanding of the underlying mechanisms of action of the herbs. In an effort to promote integration of both sides and to accelerate the drug discovery from herbal medicines, an efficient systems pharmacology platform that represents ideal information convergence of pharmacochemistry, ADME properties, drug-likeness, drug targets, associated diseases and interaction networks, are urgently needed. Description The traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) was built based on the framework of systems pharmacology for herbal medicines. It consists of all the 499 Chinese herbs registered in the Chinese pharmacopoeia with 29,384 ingredients, 3,311 targets and 837 associated diseases. Twelve important ADME-related properties like human oral bioavailability, half-life, drug-likeness, Caco-2 permeability, blood-brain barrier and Lipinski’s rule of five are provided for drug screening and evaluation. TCMSP also provides drug targets and diseases of each active compound, which can automatically establish the compound-target and target-disease networks that let users view and analyze the drug action mechanisms. It is designed to fuel the development of herbal medicines and to promote integration of modern medicine and traditional medicine for drug discovery and development. Conclusions The particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature of TCM theory and developing new herb-oriented drugs. TCMSP is freely available at http://sm.nwsuaf.edu.cn/lsp/tcmsp.php.
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                Author and article information

                Journal
                J Inflamm Res
                J Inflamm Res
                jir
                Journal of Inflammation Research
                Dove
                1178-7031
                20 September 2023
                2023
                : 16
                : 4123-4140
                Affiliations
                [1 ]Department of TCM Rheumatology, China-Japan Friendship Hospital , Beijing, People’s Republic of China
                [2 ]Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital , Beijing, People’s Republic of China
                [3 ]School of Traditional Chinese Medicine, Beijing University of Chinese Medicine , Beijing, People’s Republic of China
                [4 ]Dongzhimen Hospital, Beijing University of Chinese Medicine , Beijing, People’s Republic of China
                [5 ]Humanities School, Beijing University of Chinese Medicine , Beijing, People’s Republic of China
                Author notes
                Correspondence: Qing-Wen Tao, Email taoqg1@outlook.com
                [*]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0002-6004-289X
                http://orcid.org/0000-0002-9415-1197
                http://orcid.org/0009-0005-5293-386X
                http://orcid.org/0000-0003-2366-5147
                http://orcid.org/0000-0002-2454-2168
                Article
                418345
                10.2147/JIR.S418345
                10518150
                37750171
                8c63c148-fe82-4a98-a886-c5365503e4cf
                © 2023 Chen et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 23 April 2023
                : 02 September 2023
                Page count
                Figures: 9, Tables: 2, References: 53, Pages: 18
                Funding
                Funded by: National Natural Science Foundation of China, open-funder-registry 10.13039/501100001809;
                Funded by: National Famous Traditional Chinese Medicine Experts inheritance studio of Xiaoping Yan;
                Funded by: National Regional Chinese Medicine Diagnostic and Treatment Centre for Rheumatic Diseases Project;
                Funded by: National Key Clinical Specialty Capacity Building Project;
                This study was supported by National High Level Hospital Clinical Research Funding (2023-NHLHCRF-YXHZ-ZRMS-07, 2022-NHLHCRF-LX-02-0103), National Natural Science Foundation of China (No. 81804042,81673941), National Famous Traditional Chinese Medicine Experts inheritance studio of Xiaoping Yan (2019-PP-001), National Regional Chinese Medicine Diagnostic and Treatment Centre for Rheumatic Diseases Project (2019-ZX-006), National Key Clinical Specialty Capacity Building Project (2011-ZDZK-001).
                Categories
                Original Research

                Immunology
                total flavonoids of rhizoma drynariae,osteoarthritis,network pharmacology,serum metabolomics,cyclooxygenase-2,ampk/nfκb pathway

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