肝保护
药理学
系统药理学
对接(动物)
计算生物学
化学
对乙酰氨基酚
肝损伤
细胞毒性
基因调控网络
结合亲和力
系统生物学
中医药
医学
生物化学
药物发现
转录组
作者
Zi-Yi Zheng,Jing-Yi Chen,Roy You Chen Quah,Guo-Hua Ding,Jing Chen
摘要
Background: Xiao-Yao-San (XYS), a classical Traditional Chinese Medicine formula documented in the Chinese Pharmacopoeia, has long been used to treat hepatic disorders; however, its multi-target hepatoprotective mechanisms remain systematically uncharacterized. Objectives: This study aimed to elucidate the hepatoprotective mechanisms of XYS bioactive compounds against drug-induced liver injury (DILI) using an integrative network pharmacology and experimental approach. Methods: Network pharmacology was integrated with transcriptomic analysis and machine learning to identify hub targets. Molecular docking was used to predict interaction patterns and relative binding energies between compounds and target proteins. Hepatoprotective effects were validated in an acetaminophen (APAP)-induced hepatotoxicity model in HepG2 cells by measuring cytotoxicity markers and hub gene expression. Results: Network pharmacology identified 125 bioactive compounds with 121 targets overlapping DILI pathogenesis. Machine learning identified five hub genes: ALOX5, CYP1A2, CYP3A4, F3, and PDE5A. Molecular docking showed favorable binding affinities (-5.02 to -8.66 kcal/mol) for four compounds: Beta-sitosterol, kaempferol, luteolin, and quercetin. All four compounds attenuated APAP-induced hepatotoxicity and modulated hub gene expression, with beta-sitosterol showing the most comprehensive hepatoprotective profile. Conclusions: The bioactive compounds of XYS may contribute to hepatoprotection against DILI through multi-target regulation involving the ALOX5-LTB4 inflammatory axis, CYP-mediated metabolic regulation, F3-associated procoagulant signaling, and PDE5A/cGMP-related signaling.
科研通智能强力驱动
Strongly Powered by AbleSci AI