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ORIGINAL RESEARCH article

Front. Chem.
Sec. Medicinal and Pharmaceutical Chemistry
Volume 12 - 2024 | doi: 10.3389/fchem.2024.1415390
This article is part of the Research Topic Integration of Computational and Experimental Methods to Discover Natural Metabolites for Treating Various Human Diseases View all 6 articles

Exploring the Mechanism of Tetramethylpyrazine in the Treatment of Osteoarthritis Based on Network Pharmacology

Provisionally accepted
Juncen Li Juncen Li 1Song Daiying Song Daiying 1Baihui Li Baihui Li 1*Yajie Wang Yajie Wang 1*Huilin Sun Huilin Sun 1Qinglin Li Qinglin Li 1*Xiangming Lin Xiangming Lin 2*Di Wang Di Wang 1*Guangdong Zhou Guangdong Zhou 1*Yu Liu Yu Liu 1*
  • 1 Shandong Second Medical University, Weifang, China
  • 2 Shanghai Fifth People's Hospital, Fudan University, Shanghai, Shanghai Municipality, China

The final, formatted version of the article will be published soon.

    Background: Osteoarthritis(OA) is the most common joint disease, which mainly damages articular cartilage and involves the whole joint tissue. It has the characteristics of long course, repeated symptoms and high disability rate, and the incidence trend is gradually increasing. Tetramethylpyrazine(TMP) is the main alkaloid active substance in Ligusticum wallichii, a traditional Chinese medicine, which has the effect of promoting blood circulation and dredging collaterals, and has a good effect on the treatment of early OA, but its molecular mechanism has not been fully clarified so far. Based on network pharmacology, molecular docking simulation and animal experiments, this study explored the target and molecular mechanism of TMP in the treatment of OA.We used PubChem, SwissTargetPrediction, and PharmMapper databases to predict the molecular structure and potential targets of TMP. GeneCards and DisGeNET databases were used to predict the relevant targets of OA. Apply UniProt database to convert targets into unified gene names, and proofread and remove duplicate gene names. The intersection targets of TMP and OA obtained on venny2.1.0 website were submitted to the STRING database to construct a PPI network. CytoScape 3.8.2 software was used to analyze the PPI network and obtain the sub-network modules and 10 key targets. The intersection targets of TMP and OA were analyzed by Kyoto

    Keywords: Osteoarthritis, Network Pharmacology, Tetramethylpyrazine, Molecular Docking Simulation, Bioinformatics analysis

    Received: 10 Apr 2024; Accepted: 21 Oct 2024.

    Copyright: © 2024 Li, Daiying, Li, Wang, Sun, Li, Lin, Wang, Zhou and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Baihui Li, Shandong Second Medical University, Weifang, China
    Yajie Wang, Shandong Second Medical University, Weifang, China
    Qinglin Li, Shandong Second Medical University, Weifang, China
    Xiangming Lin, Shanghai Fifth People's Hospital, Fudan University, Shanghai, Shanghai Municipality, China
    Di Wang, Shandong Second Medical University, Weifang, China
    Guangdong Zhou, Shandong Second Medical University, Weifang, China
    Yu Liu, Shandong Second Medical University, Weifang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.