蒙古族药芯芭治疗2型糖尿病的网络药理学研究

该文采用网络药理学方法探讨蒙古族药芯芭治疗2型糖尿病潜在的活性成分和作用机制。根据文献收集汇总建立蒙古族药芯芭成分数据库,结合活性成分筛选、靶点预测技术及生物信息学手段,获取与降糖效应相关的重要活性成分和关键靶点来预测作用机制。分子对接预测主要活性成分与关键靶点结合活性,体外实验验证活性成分的降糖作用机制。该文共收集芯芭中含有177个化学成分,确认90个化学成分结构,34个化学成分存在有效靶点,显著影响过氧化物酶体增殖物激活受体信号代谢通路等脂肪酸代谢、调节蛋白激酶活性和胰岛素反应等61条生物过程,关键靶点为Akt1和TNFα。预测降糖活性成分主要为槲皮素、木犀草素和梓醇,分子对接预测关键靶点Akt1与木犀草素、槲皮素和梓醇有较强的结合活性;TNFα与木犀草素有较强的结合活性,与槲皮素和梓醇有一定的结合活性。体外细胞模型验证梓醇具有降糖药效,上调p-Akt(Ser473)/Akt,PPARα,PPARδ水平,降低FABP4蛋白水平,调节糖脂代谢改善肝胰岛素抵抗。网络药理学方法预测蒙古族药芯芭降糖多成分、多通路、多靶点的作用机制,为芯芭降糖研究提供科学视野和提示研究方向。

Research on network pharmacology of Mongolian medicine Cymbaria in treatment of type 2 diabetes

The network pharmacology was used to explore the potential active ingredients and action mechanisms of Mongolian medicine Cymbaria in the treatment of type 2 diabetes. According to the literatures collected, Cymbaria component database was established to define important active ingredients and key targets for the anti-hyperglycemic effect to predict action mechanism by active ingredient screening and target prediction techniques. Molecular docking predicted binding activity of main active components with key targets in Cymbaria, then verified the action mechanism in vitro. The Cymbaria component database contained 177 chemical components, 90 chemical structures were confirmed, including 34 chemical components with effective targets. According to the prediction results from network pharmacology, 61 biological processes were significantly affected, such as fatty acid metabolism including PPARs signaling pathway, protein kinase activity and insulin signal pathway. Moreover, the key target proteins were Akt1 and TNFα and quercetin, luteolin and catalpol were the main active ingredients of Cymbaria. Molecular docking prediction showed that luteolin, quercetin and catalpol had a strong binding activity with Akt1;luteolin had strong binding activity but quercetin and catalpol had a certain binding activity with TNFα. Furthermore, catalpol showed hypoglycemic effects in vitro, which up-regulated p-Akt(Ser473)/Akt, PPARα and PPARδ levels and reduced FABP4 expression to regulate glycose and lipid metabolism for improving insulin sensitivity. The network pharmacology predicted that the hypoglycemic effect of Cymbaria was mainly related to anti-inflammatory and lipid regulation with a multi-component, multi-target manner. It provided a scientific view of hypoglycemic effect and action mechanism of Cymbaria for further study.