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.
基金
the PhD Start-up Fund of Natural Science Foundation of Guangdong Province (No.2015A030310267).
