A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qin-lian decoction for treatment of type 2 diabetes.

A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qin-lian decoction for treatment of type 2 diabetes.
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网络药理学方法确定葛根芩连汤治疗2型糖尿病的活性成分和作用机制。

DOI:
10.1155/2014/495840
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发表时间:
2014
期刊:
Evidence-based complementary and alternative medicine : eCAM
影响因子:
--
通讯作者:
Tong X
Tong X
中科院分区:
其他
文献类型:
--
作者:
Li H;Zhao L;Zhang B;Jiang Y;Wang X;Guo Y;Liu H;Li S;Tong X

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传统中药方剂是有价值的治疗策略和药物发现资源。然而,大多数中药方剂的有效成分和作用机制尚不清楚。因此,有效成分及其作用的鉴定是中医药研究的一个重大挑战。在这项研究中,我们使用了网络药理学的方法,我们以前开发的,以帮助确定潜在的抗糖尿病成分从传统的葛根芩连汤(GGQLD)的配方。我们预测了所有可用GGQLD成分的目标概况,通过将成分的目标概况与FDA批准的抗糖尿病药物聚类来推断活性成分。并应用网络靶点分析法对中药成分与药理作用之间的关系进行评价,以帮助解释GGQLD的作用机制。根据预测的结果,我们证实了一种新的抗糖尿病成分,4-羟基美芬妥英,增加RIN-5 F细胞的胰岛素分泌,改善3 T3-L1脂肪细胞的胰岛素抵抗。本文所采用的网络药理学策略为葛根芩连汤等中药方剂的活性成分及其作用机制的研究提供了强有力的手段。
Traditional Chinese medicine (TCM) herbal formulae can be valuable therapeutic strategies and drug discovery resources. However, the active ingredients and action mechanisms of most TCM formulae remain unclear. Therefore, the identification of potent ingredients and their actions is a major challenge in TCM research. In this study, we used a network pharmacology approach we previously developed to help determine the potential antidiabetic ingredients from the traditional Ge-Gen-Qin-Lian decoction (GGQLD) formula. We predicted the target profiles of all available GGQLD ingredients to infer the active ingredients by clustering the target profile of ingredients with FDA-approved antidiabetic drugs. We also applied network target analysis to evaluate the links between herbal ingredients and pharmacological actions to help explain the action mechanisms of GGQLD. According to the predicted results, we confirmed that a novel antidiabetic ingredient from Puerariae Lobatae radix (Ge-Gen), 4-Hydroxymephenytoin, increased the insulin secretion in RIN-5F cells and improved insulin resistance in 3T3-L1 adipocytes. The network pharmacology strategy used here provided a powerful means for identifying bioactive ingredients and mechanisms of action for TCM herbal formulae, including Ge-Gen-Qin-Lian decoction.
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