Network pharmacology analysis to explore mechanism of Three Flower Tea against nonalcoholic fatty liver disease with experimental support using high-fat diet-induced rats

使用高脂饮食诱发的大鼠进行网络药理学分析,探索三花茶对抗非酒精性脂肪性肝病的机制

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作者:Peixuan Wu, Shufei Liang, Yanping He, Rui Lv, Bendong Yang, Meng Wang, Chao Wang, Yong Li, Xinhua Song, Wenlong Sun

Conclusion

In summary, our results indicate that TFT can prevent and treat NAFLD via multiple targets, including lipid accumulation, antioxidation, insulin sensitivity, and inflammation.

Methods

This study utilized bioinformatics and network pharmacology to establish the active and potential ingredient-target networks of TFT. Furthermore, a protein-protein interaction (PPI) network was constructed, and enrichment analysis was performed to determine the key targets of TFT against NAFLD. Furthermore, an animal experiment was conducted to evaluate the therapeutic effect and confirm the key targets of TFT against NAFLD.

Objective

Nonalcoholic fatty liver disease (NAFLD) has become a common chronic liver disease that is harmful to human health. Moreover, there is currently no FDA-approved first-line drug for the treatment of nonalcoholic steatohepatitis (NASH) or NAFLD. Traditional Chinese medicine (TCM) is widely used to ameliorate liver diseases, such as the traditional ancient recipe called Three Flower Tea (TFT), which consists of double rose (Rosa rugosa), white chrysanthemum (Chrysanthemum morifolium), and Daidaihua (Citrus aurantium). However, the mechanisms of the action of TFT are not clear. Therefore, this study aimed to elucidate the mechanisms of TFT against NAFLD in high-fat diet (HFD)-induced rats.

Results

A total of 576 NAFLD-related genes were searched in GeneCards, and under the screening criteria of oral bioavailability (OB) ≥30% and drug-likeness (DL) ≥0.18, a total of 19 active ingredients and 210 targets were identified in TFT. Network pharmacology analysis suggested that 55 matching targets in PPIs were closely associated with roles for NAFLD treatment. Through the evaluation of network topology parameters, four key central genes, PPARγ, SREBP, AKT, and RELA, were identified. Furthermore, animal experiments indicated that TFT could reduce plasma lipid profiles, hepatic lipid profiles and hepatic fat accumulation, improve liver function, suppress inflammatory factors, and reduce oxidative stress. Through immunoblotting and immunofluorescence analysis, PPARγ, SREBP, AKT, and RELA were confirmed as targets of TFT in HFD-induced rats.

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