DOI 10.1016/j.ejphar.2024.177074
Integrated metabolomics and network pharmacology analysis to reveal the protective effect of Complanatoside A on nonalcoholic fatty liver disease.
Аннотация
INTRODUCTION
The rising prevalence and severe consequences of nonalcoholic fatty liver disease (NAFLD) have driven the quest for preventive medications. Complanatoside A (CA) is the marked flavonoid of Astragali complanati semen, a traditional Chinese herb that acts on the liver meridian and is widely used to treat liver problems. CA has been proven to have considerable lipid-lowering and liver-protective effects in vitro. However, the efficacy of CA in preventing NAFLD has yet to be shown in vivo.
METHODS
First, the effectiveness of CA against NAFLD was assessed using a high-fat diet (HFD) mouse model. Second, the CA protective mechanism against NAFLD was investigated using a combined metabolomics and network pharmacology strategy. Differential metabolites were identified by metabolomics-based analyses, and metabolic pathway analysis was accomplished by MetaboAnalyst. Potential therapeutic targets were obtained through network pharmacology. Finally, key targets were identified via compound-target networks and validated by molecular docking and western blotting.
RESULTS
CA prevented NAFLD mainly by reducing liver lipid accumulation in HFD mice. Metabolomics identified 22 potential biomarkers for CA treatment of NAFLD, primarily involving glycerophospholipid and arachidonic acid metabolism. Fifty-one potential targets were determined by network pharmacology. Co-analysis revealed that albumin, peroxisome proliferator-activated receptor-alpha, retinoid X receptor alpha, interleukin-6, and tumor necrosis factor alpha were key targets.
CONCLUSION
This experiment revealed that CA has a preventive effect on NAFLD, primarily by regulating the peroxisome proliferator-activated receptor-alpha/retinoid X receptor alpha pathway. Furthermore, it provides evidence supporting the potential use of CA in the long-term prevention of NAFLD.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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