基于网络药理学的银杏叶提取物治疗痛风潜在作用机制初探  

Potential mechanism of Ginkgo Folium extract used in treatment of gout based on network pharmacology

作　　者：刘丹[1] 朱靖博[1,2] 王永华[3] 丁燕[1,2] 寇自农[2,4] 萧伟[5] 

机构地区：[1]大连工业大学食品学院,辽宁大连116034 [2]大连工业大学植物资源化学与应用研究所,辽宁大连116034 [3]西北农林科技大学生命科学学院生物信息学中心,陕西西安712100 [4]大连工业大学实验仪器中心,辽宁大连116034 [5]江苏康缘药业股份有限公司,江苏连云港222001

出　　处：《中草药》2016年第15期2693-2700,共8页Chinese Traditional and Herbal Drugs

基　　金：大连市科技计划项目(2014E12SF065)

摘　　要：目的筛选银杏叶提取物中治疗痛风的活性化合物,构建活性化合物-靶标-通路网络,并阐述银杏叶提取物治疗痛风的潜在作用机制。方法建立银杏叶成分-靶点相互作用的随机森林预测模型,对银杏叶化学成分进行靶点预测,然后构建和分析银杏叶"成分-靶点-痛风"复杂网络。结果在已发现的银杏叶的158个化合物中,以类药性(DL)≥0.18和口服生物利用度(OB)≥30为条件,筛选出39个活性化合物,其中包括11个黄酮类化合物和11个萜类化合物;银杏叶中有24个活性化合物所对应的靶点与痛风中49个致病基因相关,揭示了银杏叶中活性成分与相关靶点的分子作用机制。结论银杏叶中的活性化合物可能通过3种方式治疗痛风:减少尿酸的产生、增加尿酸的排泄、抑制NALP3炎症引起的紊乱。Objective To screen the active compounds of Ginkgo Folium extrat （GFE） used in the treatment of gout to build network of compounds-target-pathway, and to elaborate the potential mechanism of GFE in the treatment of gout. Methods The G biloba compound-target interaction model was established by random forest algorithm, which was then applied to predict the potential targets interacted with compounds of G biloba. The complicated compound-target-disease network of G biloba was then constructed and analyzed. Results Among the 158 compounds found in G biloba, with （drug-likeness） DL ≥ 0.18 and （oral bioavailabitity） OB ≥ 30 as a filter condition, 39 active compounds were screened, including 11 flavonoids and 11 terpenes. There are 24 active compounds in G biloba, which correspond to the 49 pathogenic genegenes of gout and reveal the molecular mechanism of G biloba in the active ingredient and related targets. Conclusion Active compounds in G biloba may cure gout through the following three ways： First, to minimize the production of uric acid; Secondly, to increase the excretion of uric acid; Thirdly, to inhibit disorders induced by NALP3 inflammation.

关 键 词：银杏 痛风 作用机制 网络药理学 靶点 尿酸 

分 类 号：R285.5[医药卫生—中药学]