Lin Xie, Hanze Liu, Ke Zhang, Yijun Pan, Mengyao Chen, Xiangyue Xue, Guoxing Wan
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Exploring the molecular mechanism of ginseng against anthracycline-induced cardiotoxicity based on network pharmacology, molecular docking and molecular dynamics simulation.
Background: Previous clinical and basic studies have revealed that ginseng might have cardioprotective properties against anthracycline-induced cardiotoxicity (AIC). However, the underlying mechanism of ginseng action against AIC remains insufficiently understood. The aim of this study was to explore the related targets and pathways of ginseng against AIC using network pharmacology, molecular docking, cellular thermal shift assay (CETSA) and molecular dynamics (MD) simulations.
Results: Fourteen drug-disease common targets were identified. Enrichment analysis showed that the AGE-RAGE in diabetic complications, fluid shear stress and atherosclerosis, and TNF signaling pathway were potentially involved in the action of ginseng against AIC. Molecular docking demonstrated that the core components including Kaempferol, beta-Sitosterol, and Fumarine had notable binding activity with the three core targets CCNA2, STAT1, and ICAM1. Furthermore, the stable complex of STAT1 and Kaempferol with favorable affinity was further confirmed by CETSA and MD simulation.
Conclusions: This study suggested that ginseng might exert their protective effects against AIC through the derived effector compounds beta-Sitosterol, Kaempferol and Fumarine by targeting CCNA2, STAT1, and ICAM1, and modulating AGE-RAGE in diabetic complications, fluid shear stress and atherosclerosis, and TNF signaling pathways.
HereditasBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍:
For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.