基于网络药理学对茵连痛风颗粒抗炎镇痛作用的机制研究 |
投稿时间:2020-07-02 修订日期:2020-09-03 点此下载全文 |
引用本文:徐熠,刘静,黄瑾,崔金刚.基于网络药理学对茵连痛风颗粒抗炎镇痛作用的机制研究[J].药学实践杂志,2021,39(3):226~231 |
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基金项目:上海市卫计委科研课题-青年项目(20174Y0194);岳阳中西医结合医院院级基金(2018YJ06);上海市“医苑新星”青年医学人才培养资助计划-临床药师项目(沪卫计人事【2019】72号);上海中医药大学第二批临床师资“优教”项目资助(新锐培训计划) |
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中文摘要:目的 通过网络药理学的研究方法探讨茵连痛风颗粒抗炎镇痛作用的可能作用机制。方法 利用中药系统药理学数据库与分析平台(TCMSP)收集茵连痛风颗粒主要活性成分,预测其作用靶点;利用蛋白质互作网络信息建立药物与抗炎镇痛相关靶基因之间的相互作用关系,进行KEGG与GO功能富集分析。结果 茵连痛风颗粒中与抗炎镇痛密切相关的靶点共有37个,主要包括前列腺素过氧化物合酶 2(PTGS2)、白介素-6(IL-6)、IL-10、肿瘤坏死因子(TNF)等潜在作用靶点,这些靶点的作用机制主要与调节核转录因子B信号(NF-κB) 等通路相关。结论 该研究从多维度预测了茵连痛风颗粒多靶点抗炎镇痛的作用机制,为进一步验证该制剂临床作用机制提供理论依据。 |
中文关键词:茵连痛风颗粒 抗炎镇痛 网络药理学 |
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Anti-inflammatory and analgesic activity analysis of Yinlian Tongfeng granules based on network Pharmacology |
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Abstract:Objective To explore the anti-inflammatory and analgesic mechanism of Yinlian Tongfeng granules by network pharmacology.Methods Three main active components of Yinlian Tongfeng granules were collected from TCMSP database to predict its effective targets. Based on the network information of active components and targets, the anti-inflammatory and analgesic related targets were established by using protein-protein interaction information. The enrichment analysis of KEGG biological pathway and go function enrichment were carried out to construct the active component-target-signal pathway network and explain the main mechanism of anti-inflammatory and analgesic.Results 37 targets were closely related to anti-inflammation and analgesic effects of Yinlian Tongfeng granules, mainly on Prostaglandin endoperoxide synthase 2(PTGS2), interleukin-6 (IL-6), interleukin-10 (IL-10) and tumor necrosis factors (TNF). The mechanism of action may relate to the regulation of nuclear transcription factor B signaling pathway(NF-κB).Conclusion The study predicted the anti-inflammatory and analgesic mechanism of Yinlian Tongfeng granules, and provided theoretical basis for further verification and interpretation of its mechanism. |
keywords:Yinlian Tongfeng granules anti-inflammatory and analgesic activity network pharmacology |
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