Suppr超能文献

基于网络药理学和实验验证的山豆根抗类风湿性关节炎作用机制研究

[Anti-rheumatoid arthritis mechanism of Sophorae Tonkinesis Radix et Rhizoma based on network pharmacology and experimental verification].

作者信息

Zhu Pan-Pan, Qi Ming-Zhu, Yang Jing-Hang, Tao Xue-Ying, Lin Na, Su Xiao-Hui, Kong Xiang-Ying

机构信息

Key Laboratory of Basic Pharmacology of Ministry of Education and International Cooperation Joint Laboratory of Characteristic Ethnic Medicine of Ministry of Education, Zunyi Medical University Zunyi 563003, China Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2022 Oct;47(19):5327-5335. doi: 10.19540/j.cnki.cjcmm.20220526.401.

Abstract

Based on the network pharmacology, molecular docking, and animal experiment, this study explored the anti-rheumatoid arthritis(RA) mechanism of Sophorae Tonkinesis Radix et Rhizoma(STRR). The active components of STRR were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), Traditional Chinese Medicine Integrative Database(TCMID), and previous research, main targets of STRR from TCMSP and SwissTargetPrediction, and targets of RA from GeneCards, DrugBank, Online Mendelian Inheritance in Man(OMIM), and Therapeutic Target Database(TTD). The common targets of the two were screened by Venny 2.1.0. Cytoscape 3.6.0 was used to generate the "component-target" network, and STRING and Cytoscape were used to construct the protein-protein interaction(PPI) network. DAVID 6.8 was employed for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment, and AutoDock Vina for molecular docking. Finally, collagen-induced rheumatoid arthritis(CIA) mouse model was constructed, and the expression of core target proteins was detected by Western blot. A total of 27 active components, including quercetin, genistein, kaempferol, subprogenin C, and daidzein, and 154 anti-RA targets, such as signal transducer and activator of transcription 3(STAT3), tumor necrosis factor(TNF), mitogen-activated protein kinase 1(MAPK1), AP-1 transcription factor subunit(JUN), and interleukin 6(IL6), of STRR were screened out. It was preliminarily indicated that STRR may regulate phosphatidylinositol-3-kinase-protein kinase B(PI3 K-AKT) signaling pathway and TNF signaling pathway to modulate the positive regulation of RNA polymerase Ⅱ promoter transcription, inflammatory response, and other biological processes, thus exerting the anti-RA effect. The results of molecular docking showed that the main active components in STRR had high binding affinity to the core targets. Animal experiment suggested that the water extract of STRR can significantly reduce the levels of p-STAT3, p-MAPK1, and TNF. This study demonstrated the multi-component, multi-target and multi-pathway synergistic effect of STRR in the treatment of RA, laying an experimental basis for clinical application of this medicine.

摘要

基于网络药理学、分子对接和动物实验,本研究探讨了山豆根治疗类风湿关节炎(RA)的机制。从中药系统药理学数据库与分析平台(TCMSP)、中医综合数据库(TCMID)及既往研究中检索出山豆根的活性成分,从TCMSP和瑞士靶点预测数据库中获取山豆根的主要靶点,从基因卡片数据库(GeneCards)、药物银行数据库(DrugBank)、人类孟德尔遗传在线数据库(OMIM)和治疗靶点数据库(TTD)中获取RA的靶点。通过Venny 2.1.0筛选两者的共同靶点。使用Cytoscape 3.6.0生成“成分-靶点”网络,利用STRING和Cytoscape构建蛋白质-蛋白质相互作用(PPI)网络。采用DAVID 6.8进行基因本体(GO)术语富集和京都基因与基因组百科全书(KEGG)通路富集分析,使用AutoDock Vina进行分子对接。最后,构建胶原诱导的类风湿关节炎(CIA)小鼠模型,通过蛋白质免疫印迹法检测核心靶蛋白的表达。共筛选出山豆根的27种活性成分,包括槲皮素、染料木黄酮、山奈酚、亚槐素C和大豆苷元,以及154个抗RA靶点,如信号转导和转录激活因子3(STAT3)、肿瘤坏死因子(TNF)、丝裂原活化蛋白激酶1(MAPK1)、AP-1转录因子亚基(JUN)和白细胞介素6(IL6)。初步表明,山豆根可能通过调节磷脂酰肌醇-3-激酶-蛋白激酶B(PI3K-AKT)信号通路和TNF信号通路,调控RNA聚合酶Ⅱ启动子转录的正调控、炎症反应等生物学过程,从而发挥抗RA作用。分子对接结果显示,山豆根中的主要活性成分与核心靶点具有较高的结合亲和力。动物实验表明,山豆根水提取物可显著降低p-STAT3、p-MAPK1和TNF的水平。本研究证实了山豆根在治疗RA中具有多成分、多靶点、多途径的协同作用,为该药物的临床应用奠定了实验基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验