A Network Pharmacology Approach to Determine Active Compounds and Action Mechanisms of Ge-Gen-Qin-Lian Decoction for Treatment of Type 2 Diabetes

作者：Li, Huiying; Zhao, Linhua; Zhang, Bo; Jiang, Yuyu; Wang, Xu; Guo, Yun; Liu, Hongxing; Li, Shao^*; Tong, Xiaolin

来源：Evidence-Based Complementary and Alternative Medicine, 2014, 2014: 495840.

DOI：10.1155/2014/495840

• TRADITIONAL CHINESE MEDICINE
• INSULIN-RESISTANCE
• BETA-CELL
• STREPTOZOTOCIN
• PUERARIN
• DRUGS
• KNOWLEDGEBASE
• SECRETION
• MELLITUS
• TARGET

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.

• 出版日期2014
• 单位清华大学; 中国中医科学院广安门医院; 江南大学