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1.广州中医药大学,广州 510006;
2.广州中医药大学 第一附属医院,广州 510405
Received:18 April 2019,
Published Online:19 June 2019,
Published:05 October 2019
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Li-ying ZENG, Qiang WANG, Long-yin HAN, et al. Mechanism of Tripterygium hypoglaucum Radix-Leonurus japonicus Herba for Treating Rheumatoid Arthritis Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(19): 170-181.
Li-ying ZENG, Qiang WANG, Long-yin HAN, et al. Mechanism of Tripterygium hypoglaucum Radix-Leonurus japonicus Herba for Treating Rheumatoid Arthritis Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(19): 170-181. DOI: 10.13422/j.cnki.syfjx.20191941.
目的:
2
运用计算机网络药理学技术筛选昆明山海棠-益母草药对治疗RA的的主要活性成分,预测活性成分的作用靶点,建立药物成分-活性成分-作用靶点网络,进一步探讨昆明山海棠-益母草药对治疗类风湿关节炎(RA)的潜在作用机制。
方法:
2
通过DisGeNET,TTD,Drugbank数据库收集RA疾病作用靶点;从中药系统药理学分析平台(TCMSP)获得昆明山海棠、益母草的潜在活性成分及其对应的靶点;使用ImageGP平台筛选药物与疾病共有靶点;使用String数据库构建共有靶点互作(PPI)网络模型;采用Cytoscape软件建立“药物-活性成分-关键作用靶点”网络;采用String数据库构建蛋白质相互作用网络;利用ClueGO插件对靶点进行基因功能(GO)分析和基于京都基因与基因组百科全书(KEGG)通路富集分析。
结果:
2
通过筛选得到9个药物活性成分,共涉及235个作用靶点,与疾病靶点有关的活性成分为7个,得到昆明山海棠-益母草药对-疾病共同靶点24个,共同靶点主要富集于278个生物过程和141条信号通路上发挥治疗RA的作用。
结论:
2
昆明山海棠-益母草药对对RA的治疗作用体现了中药多成分-多靶点-多途径的特点,为阐释其治疗RA的作用机制与临床应用提供了科学依据。
Objective:
2
Computer network pharmacology technology was used to screen the main active ingredients of
Tripterygium hypoglaucum
radix-
Leonurus japonicus
herba for the treatment of rheumatoid arthritis(RA)
predict the targets of the active ingredients
establish a pharmaceutical ingredient-active ingredient-target network
and further explore the potential mechanism of
Tripterygium hypoglaucum
radix-
Leonurus japonicus
herba for the treatment of RA.
Method:
2
RA disease targets were collected through DisGeNET
TTD
and Drugbank databases
the potential active components of
Tripterygium hypoglaucum
radix and
Leonurus japonicus
herba and their corresponding targets were obtained from the Chinese Medicine System Pharmacology Analysis Platform (TCMSP); common targets for drugs and diseases were screened by using the ImageGP platform; a common target interaction (PPI) network model was constructed by using the String database
a " drug-active ingredient-key target" network was constructed by using Cytoscape software
a protein interaction network was constructed by using the String database
gene function (GO) analysis and pathway enrichment analysis based on the Kyoto Gene and Genomic Encyclopedia (KEGG) were performed by using the ClueGO plug-in.
Result:
2
Through screening
9 active pharmaceutical ingredients were obtained
involving a total of 235 targets
and 7 active ingredients were related to the disease targets. 24 common targets for
Tripterygium hypoglaucum
radix
Leonurus japonicus
herba-disease were obtained. The common targets were mainly enriched in 278 biological processes and 141 signaling pathways to play a role in the treatment of RA.
Conclusion:
2
The therapeutic effect of
Tripterygium hypoglaucum
radix
Leonurus japonicus
herba on RA reflects the characteristics of multi-component-multi-target-multi-channel of traditional Chinese medicine
and provides a scientific basis for explaining its mechanism and clinical application of RA.
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