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[摘要]
目的 研究竹节参总皂苷(TSPJ)改善人肝癌HepG2细胞脂质代谢的作用,基于计算机辅助药物设计,预测并验证TSPJ可能的作用靶点。方法 应用棕榈酸(PA)诱导HepG2细胞脂肪变性模型,实验分为对照组、模型组、TSPJ(50.0、25.0、12.5 mg/L)组。5组细胞均培养24 h后,分别采用油红O染色和尼罗红染色定性、定量检测细胞内脂质积累情况;采用试剂盒检测细胞内三酰甘油(TG)的含量;采用计算机辅助药物设计预测TSPJ可能的作用靶点,用免疫荧光检测相关蛋白的表达。结果 PA浓度为100 μmol/L处理细胞24 h可以造成HepG2细胞脂质积累模型,TSPJ可以显著改善HepG2细胞脂质积累(P<0.01),降低TG含量;利用计算机辅助药物设计预测TSPJ的作用靶点可能是雌激素相关受体;与对照组比较,模型组雌激素β受体(ERβ)表达水平降低,与模型组比较,用药组ERβ表达水平均升高。结论 TSPJ可以显著改善HepG2细胞脂质代谢,其作用靶点可能是ERβ。
[Key word]
[Abstract]
Objective To research the effects of total saponins of Panax japonicas (TSPJ) improving lipid metabolism in HepG2 cells, and to predict and verify TPSJ possible targets based on computer aided drug design. Methods HepG2 cells fatty degeneration model was induced with palmitic-acid (PA). The HepG2 cells were divided into five groups:the control group, the model group, the high-dose group (50 mg/L), the middle-dose group (25 mg/L), and the low-dose group (12.5 mg/L). The cells of five groups were cultured continuously for 24 h. The intracellular lipid accumulation was qualitative and quantitative detected by Oil red and Nile red staining. The content of triglyceride (TG) was detected by detection kit. TPSJ possible targets were predicted by computer. The expressions of related proteins were detected by immunofluorescence. Results The lipid accumulation model of HepG2 cells was successfully established for 24 h with the 100 μmol/L concentration of PA. TSPJ can significantly improve the lipid accumulation (P < 0.01), and decrease the content of triglyceride (TG) of HepG2 cells. The possible target of TSPJ may be estrogen-related receptors based on computer aided drug design. Compared with the control group, the expression levels of estrogen receptor β (ERβ) protein in model group were decreased. Compared with the model group, the expression level of ERβ protein in high-, middle-, and low-dose group were upregulated. Conclusion TSPJ can significantly improve the lipid metabolism of HepG2 cells, and the target of TSPJ might be ERβ.
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[基金项目]
国家自然科学基金资助项目(81673675);三峡大学研究生科研创新基金(SDYC2016092)