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摘要:
Background: Yinchenhao Decoction (YCHD), an ancient Chinese herbal medicinal compound prescribe for the treatment of jaundice, which long-term clinical experience and randomized trials have shown is effective against chronic hepatitis B (CHB). However, its mechanism remains unknown. With the gradual separation of pharmacodynamic components in YCHD and the development of computer virtual technology, network pharmacology provides an opportunity. Our study is to explore the underlying mechanism of YCHD for the treatment of CHB. Methods: The active compounds of YCHD were screened from TCMSP database, whose targets were predicted based on the ligands structures and the targets of CHB was selected from the TTD, DisGeNET, and Drugbank databases to obtain the potential targets of YCHD for CHB treating. Cytoscape 3.6.1 was applied for network analysis to identify key targets, and gene enrichment of the targets shared by both YCHD and CHB was performed by DAVID database. The virtual verification of binding abilities between the target protein and the small molecule was finally performed by the Sytems Dock platform. Results: The potentially important targets associated with CHB corresponding to 33 compound components from YCHD included ESR1, CYP1A2, PTGS2, CYP1A1, ABCG2, MMP9. Besides, enriched were the related 8 KEGG pathways (P<0.05) such as ABC transporters, Bile secretion, TNF signaling pathway. Conclusions: This study used network pharmacology method to reveal the characteristics,“multi-component and multi-target and multi-pathway”, of YCHD on CHB treatment, providing thoughts for further research.
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篇名 A network pharmacological study on the potential mechanism of Yinchenhao Decoction in treatment of chronic hepatitis B
来源期刊 药物联合治疗 学科 医学
关键词 NETWORK PHARMACOLOGY Yinchenhao DECOCTION CHRONIC HEPATITIS B
年,卷(期) 2019,(3) 所属期刊栏目
研究方向 页码范围 134-152
页数 19页 分类号 R
字数 语种
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研究主题发展历程
节点文献
NETWORK
PHARMACOLOGY
Yinchenhao
DECOCTION
CHRONIC
HEPATITIS
B
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
药物联合治疗
季刊
2624-3075
天津市河东区大直沽中路伯苓大厦B座906
出版文献量(篇)
47
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0
总被引数(次)
0
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