Exploring the mechanism of tetramethylpyrazine in the treatment of osteoarthritis based on network pharmacology.

IF 3.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Frontiers in Chemistry Pub Date : 2024-10-30 eCollection Date: 2024-01-01 DOI:10.3389/fchem.2024.1415390
Juncen Li, Daiying Song, Bohui Li, Yajie Wang, Huilin Sun, Qinglin Li, Xiangming Lin, Di Wang, Guangdong Zhou, Yu Liu
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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.</p><p><strong>Methods: </strong>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 Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment using DAVID 6.8 database. The intersecting targets of TMP and OA, the biological process of GO enrichment, and KEGG signaling pathway were imported into Cytoscape 3.8.2 software to construct the TMP-target-pathway network diagram. Use molecular docking technology to simulate the interaction between TMP molecules and key targets, and predict the binding mode and binding ability. Animal models of rabbit knee osteoarthritis were prepared, and magnetic resonance imager (MRI) and fluorescence quantitative PCR (RT-qPCR) were used to observe the effect of TMP in treating OA as well as the expression of key target genes.</p><p><strong>Results: </strong>585 potential targets of TMP, 3,857 potential targets of OA, and 49 intersecting targets of TMP and OA were obtained. The top 10 key target genes were obtained, in order of ranking: ALB, ESR1, IL10, CAT, F2, MPO, C3, CYP3A4, CYP2C9, ANXA1. GO and KEGG analysis implied that the key targets might act on OA by affecting endothelial cell permeability, peri-articular microcirculatory status, NETs production, activation of complement system and coagulation pathway, regulation of immune function of macrophages and T cells, and substance metabolism pathway <i>in vivo</i>, etc. The molecular mechanism might involve the formation of neutrophil extracellular trap, regulation of the actin cytoskeleton, complement and coagulation cascades, and T cell receptor signaling pathways, etc. Molecular docking simulations showed that the binding energy of IL10 and ANXA1 to TMP was greater than -5Kal/mol, but the other key target proteins showed better binding to TMP, and the binding energy was less than -5 kcal/mol. Animal experiments showed that TMP had a significant therapeutic effect on OA. The TMP group had significantly reduced knee joint effusion and bone marrow damage compared to the OA group (<i>p</i> < 0.05). The qRT-PCR results showed that compared with the OA group, the mRNA expression of ESR1, CAT, C3, CYP3A4, CYP2C9, and ANXA1 in the TMP group increased (<i>p</i> < 0.05), while there was no significant difference in mRNA expression of ALB, IL-10, F2, MPO, etc. (<i>p</i> > 0.05).</p><p><strong>Conclusion: </strong>TMP is effective in the treatment of OA, with multi-target and multi-pathway interactions. ESR1, CAT, C3, CYP3A4, CYP2C9, and ANXA1 may be potential targets for TMP treatment of OA. The molecular mechanism mainly involves the formation of neutrophil extracellular trap, regulation of the actin cytoskeleton, complement and coagulation cascades, and T cell receptor signaling pathways, etc.</p>","PeriodicalId":12421,"journal":{"name":"Frontiers in Chemistry","volume":"12 ","pages":"1415390"},"PeriodicalIF":3.8000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557414/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.3389/fchem.2024.1415390","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Methods: 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 Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment using DAVID 6.8 database. The intersecting targets of TMP and OA, the biological process of GO enrichment, and KEGG signaling pathway were imported into Cytoscape 3.8.2 software to construct the TMP-target-pathway network diagram. Use molecular docking technology to simulate the interaction between TMP molecules and key targets, and predict the binding mode and binding ability. Animal models of rabbit knee osteoarthritis were prepared, and magnetic resonance imager (MRI) and fluorescence quantitative PCR (RT-qPCR) were used to observe the effect of TMP in treating OA as well as the expression of key target genes.

Results: 585 potential targets of TMP, 3,857 potential targets of OA, and 49 intersecting targets of TMP and OA were obtained. The top 10 key target genes were obtained, in order of ranking: ALB, ESR1, IL10, CAT, F2, MPO, C3, CYP3A4, CYP2C9, ANXA1. GO and KEGG analysis implied that the key targets might act on OA by affecting endothelial cell permeability, peri-articular microcirculatory status, NETs production, activation of complement system and coagulation pathway, regulation of immune function of macrophages and T cells, and substance metabolism pathway in vivo, etc. The molecular mechanism might involve the formation of neutrophil extracellular trap, regulation of the actin cytoskeleton, complement and coagulation cascades, and T cell receptor signaling pathways, etc. Molecular docking simulations showed that the binding energy of IL10 and ANXA1 to TMP was greater than -5Kal/mol, but the other key target proteins showed better binding to TMP, and the binding energy was less than -5 kcal/mol. Animal experiments showed that TMP had a significant therapeutic effect on OA. The TMP group had significantly reduced knee joint effusion and bone marrow damage compared to the OA group (p < 0.05). The qRT-PCR results showed that compared with the OA group, the mRNA expression of ESR1, CAT, C3, CYP3A4, CYP2C9, and ANXA1 in the TMP group increased (p < 0.05), while there was no significant difference in mRNA expression of ALB, IL-10, F2, MPO, etc. (p > 0.05).

Conclusion: TMP is effective in the treatment of OA, with multi-target and multi-pathway interactions. ESR1, CAT, C3, CYP3A4, CYP2C9, and ANXA1 may be potential targets for TMP treatment of OA. The molecular mechanism mainly involves the formation of neutrophil extracellular trap, regulation of the actin cytoskeleton, complement and coagulation cascades, and T cell receptor signaling pathways, etc.

基于网络药理学探索四甲基吡嗪治疗骨关节炎的机制。
背景:骨关节炎(OA)是最常见的关节疾病,主要损害关节软骨,累及整个关节组织。它具有病程长、症状反复、致残率高的特点,且发病率呈逐渐上升趋势。四甲基吡嗪(TMP)是中药藁本中的主要生物碱活性物质,具有活血通络的功效,对治疗早期OA有较好的疗效,但其分子机制至今尚未完全阐明。本研究基于网络药理学、分子对接模拟和动物实验,探讨了TMP治疗OA的靶点和分子机制:我们利用PubChem、SwissTargetPrediction和PharmMapper数据库预测了TMP的分子结构和潜在靶点。利用 GeneCards 和 DisGeNET 数据库预测 OA 的相关靶点。应用 UniProt 数据库将靶标转换为统一的基因名称,并校对和删除重复的基因名称。将在 venny2.1.0 网站上获得的 TMP 和 OA 的交叉靶标提交给 STRING 数据库,构建 PPI 网络。使用 CytoScape 3.8.2 软件对 PPI 网络进行分析,得到子网络模块和 10 个关键靶点。利用 DAVID 6.8 数据库对 TMP 和 OA 的交叉靶标进行了京都基因组百科全书(KEGG)和基因本体(GO)富集分析。将TMP和OA的交叉靶标、GO富集的生物学过程和KEGG信号通路导入Cytoscape 3.8.2软件,构建TMP-靶标-通路网络图。利用分子对接技术模拟TMP分子与关键靶点的相互作用,预测其结合方式和结合能力。制备兔膝骨关节炎动物模型,采用磁共振成像(MRI)和荧光定量 PCR(RT-qPCR)观察 TMP 治疗 OA 的效果以及关键靶基因的表达:结果:获得了585个TMP潜在靶点、3857个OA潜在靶点以及49个TMP和OA交叉靶点。按排名顺序,获得了前 10 个关键靶基因:ALB、ESR1、IL10、CAT、F2、MPO、C3、CYP3A4、CYP2C9、ANNA1。GO和KEGG分析表明,关键靶点可能通过影响内皮细胞通透性、关节周围微循环状态、NETs产生、补体系统和凝血途径激活、巨噬细胞和T细胞免疫功能调控、体内物质代谢途径等作用于OA。其分子机制可能涉及中性粒细胞胞外陷阱的形成、肌动蛋白细胞骨架的调节、补体和凝血级联以及 T 细胞受体信号通路等。分子对接模拟显示,IL10和ANXA1与TMP的结合能大于-5千卡/摩尔,但其他关键靶蛋白与TMP的结合能较好,均小于-5千卡/摩尔。动物实验表明,TMP 对 OA 有显著的治疗效果。与 OA 组相比,TMP 组膝关节积液和骨髓损伤明显减少(P < 0.05)。qRT-PCR结果显示,与OA组相比,TMP组ESR1、CAT、C3、CYP3A4、CYP2C9、ANXA1的mRNA表达量增加(P<0.05),而ALB、IL-10、F2、MPO等的mRNA表达量无明显差异(P>0.05):结论:TMP对治疗OA有效,具有多靶点、多途径的相互作用。ESR1、CAT、C3、CYP3A4、CYP2C9和ANXA1可能是TMP治疗OA的潜在靶点。其分子机制主要涉及中性粒细胞胞外陷阱的形成、肌动蛋白细胞骨架的调节、补体和凝血级联、T 细胞受体信号通路等。
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来源期刊
Frontiers in Chemistry
Frontiers in Chemistry Chemistry-General Chemistry
CiteScore
8.50
自引率
3.60%
发文量
1540
审稿时长
12 weeks
期刊介绍: Frontiers in Chemistry is a high visiblity and quality journal, publishing rigorously peer-reviewed research across the chemical sciences. Field Chief Editor Steve Suib at the University of Connecticut is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to academics, industry leaders and the public worldwide. Chemistry is a branch of science that is linked to all other main fields of research. The omnipresence of Chemistry is apparent in our everyday lives from the electronic devices that we all use to communicate, to foods we eat, to our health and well-being, to the different forms of energy that we use. While there are many subtopics and specialties of Chemistry, the fundamental link in all these areas is how atoms, ions, and molecules come together and come apart in what some have come to call the “dance of life”. All specialty sections of Frontiers in Chemistry are open-access with the goal of publishing outstanding research publications, review articles, commentaries, and ideas about various aspects of Chemistry. The past forms of publication often have specific subdisciplines, most commonly of analytical, inorganic, organic and physical chemistries, but these days those lines and boxes are quite blurry and the silos of those disciplines appear to be eroding. Chemistry is important to both fundamental and applied areas of research and manufacturing, and indeed the outlines of academic versus industrial research are also often artificial. Collaborative research across all specialty areas of Chemistry is highly encouraged and supported as we move forward. These are exciting times and the field of Chemistry is an important and significant contributor to our collective knowledge.
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