| 引用本文:姚卓汝1,2,刘红波1,2,唐志书1,2,宋忠兴1,2,阮凯华1,2,徐思宁1,2,于金高1,2,刘世军1,2.基于网络药理学探讨秦七风湿方治疗类风湿性关节炎的作用机制[J].世界中医药,2021,(16):. |
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| 基于网络药理学探讨秦七风湿方治疗类风湿性关节炎的作用机制 |
| Mechanism of Qinqi Fengshi Formula for the Treatment of Rheumatoid Arthritis by Network Pharmacology |
| 投稿时间：2020-05-12 |
| DOI：10.3969/j.issn.1673-7202.2021.16.005 |
| 中文关键词: 秦七风湿方 类风湿性关节炎 网络药理学 分子对接 作用机制 |
| English Keywords:Qinqi Fengshi Formula Rheumatoid arthritis Network pharmacology Molecular docking Action mechanism |
| 基金项目:国家自然科学基金项目（81773919，81803744）；国家科技重大专项重大新药创制项目（2019ZX09301133）；陕西省科技厅重点研发项目（2018SF-326）；陕西省教育厅重点实验室项目（19JS018） |
| 作者 | 单位 | | 姚卓汝1,2,刘红波1,2,唐志书1,2,宋忠兴1,2,阮凯华1,2,徐思宁1,2,于金高1,2,刘世军1,2 | 1 陕西中医药大学/陕西省中药资源产业化协同创新中心，咸阳，712083； 2 秦药特色资源研究与开发国家重点实验室（培育）/陕西省创新药物研究中心，咸阳，712083 |
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| 中文摘要: |
| 目的:基于网络药理学探讨秦七风湿方（QQFSF）治疗类风湿性关节炎（RA）的物质基础及其作用机制。方法:通过中医百科全书数据库（ETCM）检索QQFSF中珠子参、秦艽、山茱萸3味中药的成分和靶点；从NCBI、Geencards数据库中检索RA的相关靶点，将QQFSF治疗RA的靶点通过蛋白质-蛋白质相互作用（PPI）网络分析及DAVID进行功能通路富集分析，预测其作用机制。运用Cyoscape 3.7.2软件构建“中药-成分-靶点-通路”网络，经拓扑学分析得到核心成分和靶点。结果:从QQFSF筛选出成分122个，其中有靶点的成分84个，共筛选到靶点420个。检索得到RA的靶点1 225个。经映射分析，获得成分与疾病的共同靶点72个。通过对网络进行拓扑分析，得到熊果酸、齐墩果酸等核心成分及ABCB1、ABCC1、PIK3CG等核心靶点。经DAVID（P<0.05）富集分析，得到62条信号通路。最后通过分子对接技术对核心成分及靶点进行验证。结论:QQFSF治疗RA的主要成分是熊果酸、齐墩果酸、棕榈酸，靶点主要涉及ABCG2、ABCB1、PIK3CG等，并通过甲状腺激素信号通路、胰岛素抵抗、核因子κB信号通路等达到治疗RA的作用。 |
| English Summary: |
| To explore the material basis and mechanism of Qinqi Fengshi Formula(QQFSF) in the treatment of rheumatoid arthritis(RA) based on network pharmacology.Methods:ETCM databases was used to search the components and targets of 3 Chinese medicinals，namely，Panacis Majoris rhizome，Gentianae Macrophyllae Radix，and Corni Fructus in QQFSF.The related targets of RA were retrieved from NCBI and Geencards databases.The target of QQFSF in the treatment of RA was analyzed by PPI network analysis and DAVID for functional pathway enrichment analysis to predict its mechanism of action.The “Chinese medicine-component-target-pathway” network was constructed by Cytoscape 3.7.2 software.Through the topology analysis，the core components and targets were obtained.Results:A total of 122 components in QQFSF were screened，among which 84 components with targets were selected，and 420 targets were screened.A total of 1 225 targets of RA were retrieved.Through mapping analysis，72 common targets of components and diseases were obtained.A total of 1 225 RA targets were retrieved.After mapping analysis，72 common targets of ingredients and diseases were obtained.Through topological analysis of the network，core components such as ursolic acid and oleanolic acid and core components and ABCB1，ABCC1 and PIK3CG and other targets were obtained(P<0.05).After DAVID(P<0.05) enrichment analysis，62 signal pathways were obtained.Finally，the core components and targets were verified by molecular docking technology.Conclusion:The main therapeutic components of QQFSF for RA are ursolic acid，olenolic acid and palmitic acid.The targets mainly involve ABCG2，ABCB1，PIK3CG，etc.，and its therapeutic effect is achieved through thyroid hormone signaling pathway，insulin resistance and NF-κB signaling pathway etc.for the treatment of RA. |
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