摘要
目的探讨临床用药消渴丸中药成分与西药成分格列本脲协同作用抗糖尿病的分子网络机制。方法获取消渴丸糖尿病相关基因,采用STRING软件构建生物分子网络,利用DAVID软件识别KEGG通路,通过Cytoscape软件构建消渴丸药物成分-靶标-通路-疾病网络图。结果消渴丸中药组方与格列本脲联合作用于123个糖尿病相关基因。格列本脲主要影响2型糖尿病相关通路。中药组分影响TNF、Jak-STAT、NF-kB、细胞因子等炎症信号通路,PI3K/Akt、mTOR、MAPK等胰岛β细胞相关的信号通路,AGE-RAGE糖尿病综合症以及物质代谢等通路。二者联合广泛作用于糖尿病疾病相关的信号通路。结论消渴丸通过中西药联合,改善胰岛素抵抗、保护胰岛β细胞、影响炎症反应等,发挥协同抗糖尿病、改善糖尿病综合征作用。
OBJECTIVE To explore the synergistic molecular network mechanism of Chinese medicine ingredients and glibenclamide from Xiaoke pill for the treatment of diabetes mellitus.METHODS After obtained diabetic-related genes of Xiaoke pill,STRING software was used to construct biomolecular network,DAVID software was used to identify KEGG pathways,Cytoscape software was used to construct the network for Xiaoke pill ingredients-key target-disease related pathway.RESULTS The results showed that Xiaoke pill targeted 123 diabetic-related genes.Glibenclamide mainly affected pathways involved in type 2 diabetes,whereas Chinese medicine ingredients from Xiaoke pill was associated with inflammatory-related pathways such as TNF,Jak-STAT,NF-kB and cytokine pathway,isletβcell-related pathways such as PI3K/Akt,mTOR and MAPK pathway,AGE-RAGE and metabolic pathways.By combining Chinese medicine ingredients and glibenclamide,Xiaoke pill widely targeted diabetic-related pathways.CONCLUSION It indicates that Xiaoke pill,a combination of traditional Chinese and Western medicine,can prevente diabetes and diabetic syndrome possibly by improving insulin resistance and protectingβcells and inhibiting inflammatory response.
作者
袁永亮
杜玥
宋之臻
张晓坚
鲁憬莉
YUAN Yong-liang;DU Yue;SONG Zhi-zhen;ZHANG Xiao-jian;LU Jing-li(Department of Pharmacy,The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China;Henan Key Laboratory of Zhengzhou University,The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China)
出处
《中国药学杂志》
CAS
CSCD
北大核心
2019年第12期971-980,共10页
Chinese Pharmaceutical Journal
基金
国家自然科学基金项目资助(81603122,81873188)
关键词
消渴丸
格列本脲
糖尿病
生物分子网络
Xiaoke pill
glibenclamide
diabetes mellitus
biomolecular network
