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北京中医药大学 中药学院,北京 100029
Received:26 March 2019,
Published Online:03 September 2019,
Published:05 February 2020
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Wen-xin WANG, Chuan-xin LIU, Cong ZHANG, et al. Pharmacodynamic Basis of Jinqi Jiangtang Tablets in Treatment of Type 2 Diabetes Based on LC-MS and Molecular Docking Strategy[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(3): 125-136.
Wen-xin WANG, Chuan-xin LIU, Cong ZHANG, et al. Pharmacodynamic Basis of Jinqi Jiangtang Tablets in Treatment of Type 2 Diabetes Based on LC-MS and Molecular Docking Strategy[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(3): 125-136. DOI: 10.13422/j.cnki.syfjx.20192414.
目的:
2
基于LC-MS和分子对接策略,探讨金芪降糖片治疗2型糖尿病的药效物质基础。
方法:
2
该研究采用UPLC-Q-TOF-MS技术鉴定其化学成分,在此基础上,结合在线疾病数据库和蛋白互作筛选疾病靶点,采用分子对接技术验证金芪降糖片中化学成分与疾病靶点的相互关系,寻找金芪降糖片治疗2型糖尿病的潜在药效物质基础。
结果:
2
基于UPLC-Q-TOF-MS,金芪降糖片共鉴定出51个化学成分,其中黄芪31个,黄连16个,金银花4个;通过CTD数据库、拓扑学分析以及相关文献,确定过氧化氢酶(CAT)受体,过氧化物酶体增殖物激活受体(PPARG)受体和胰岛素(INS)受体为关键靶点;通过分子对接技术发现木兰花碱,黄连碱,表小檗碱,黄芪甲苷,咖啡酸,巴马汀,小檗碱,药根碱,小檗红碱,berberastine,groenlandicine,lycoranine B,demethyleneberberine,isomucronulatol-7-
O
-glucoside和calycosin-7-
O
-glucoside为金芪降糖片治疗2型糖尿病潜在的药效物质基础。
结论:
2
蛋白互作与网络拓扑学分析有助于实现核心靶点的快速定位;分子对接技术可实现大规模的虚拟筛选具有潜力的候选化合物;该文整合LC-MS和分子对接技术可方便快捷的寻找中药复方中的潜在药效物质基础,为后续的药物活性筛选实验提供参考。
Objective:
2
Based on LC-MS and molecular docking strategy
to study the pharmacodynamic material basis of Jinqi Jiangtang tablets in the treatment of type 2 diabetes mellitus(T2DM).
Method:
2
UPLC-Q-TOF-MS was used to identify the chemical constituents of Jinqi Jiangtang tablets. On this basis
the disease targets were screened based on the online disease target database and protein-protein interaction(PPI). The molecular docking technology was used to verify the relationship between the chemical constituents and disease targets in Jinqi Jiangtang tablets
so as to find out the potential pharmacodynamic basis of Jinqi Jiangtang tablets in the treatment of T2DM.
Result:
2
Based on UPLC-Q-TOF-MS
51 chemical constituents were identified in Jinqi Jiangtang tablets
including 31 astragalus
16 coptis and 4 honeysuckle. The key targets of catalase from micrococcus lysodeiktic(CAT) receptor
peroxisome proliferative actived receptor(PPARG) receptor and insulin(INS) receptor were identified by CTD database
topological analysis and related literature. Based on LC-MS and molecular docking technology
we found that magnoflorine
coptisine
epiberberine
astragaloside Ⅳ
caffeic acid
palmatine
berberine
jateorhizine
berberubine
berberastine
groenlandne
lycoranine B
demethyleneberberine
isomucrontolula-7-
O
-glucoside and calycosin-7-
O
-glucoside were used to treat type 2 diabetes potential pharmacodynamic material basis of urinary diseases.
Conclusion:
2
Protein interaction and network topology analysis are helpful for the rapid localization of core targets. In addition
molecular docking technology can realize large-scale virtual screening of potential candidate compounds. The integration of LC-MS and molecular docking technology can facilitate and quickly find the potential pharmacodynamic substance basis in traditional Chinese medicine prescriptions
and provide a reference for subsequent drug activity screening experiments.
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