Zhang Jian, Zheng Chenglong, Yuan Siyuan, Dong Xiaoke, Wang Le, Wang Yong, Wang Wei, Gao Kuo, Liu Jinmin
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Beijing Gulou Hospital of Traditional Chinese Medicine, Beijing, 10009, China.
Evid Based Complement Alternat Med. 2019 May 12;2019:3104741. doi: 10.1155/2019/3104741. eCollection 2019.
Epilepsy is a neuronal disorder that is characterized by epileptic seizures and linked with abnormal neural functioning in the brain. Traditional Chinese medicine (TCM) formula decoction (CZD) has been widely used for epilepsy in China while the pharmacological mechanisms are still unclear. In the present study, systematic and comprehensive network pharmacology was utilized for the first time to reveal the potential pharmacological mechanisms of CZD on epilepsy.
Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and analysis platform was utilized for the development of an ingredients-targets database. After identifying epileptic targets of CZD, their interaction with other proteins was estimated based on protein-protein interaction network created from STITCH and gene ontology (GO) enrichment analysis utilizing Cytoscape-ClueGO plugin.
CZD formula was found to have 643 chemical ingredients, and the potential protein targets of these ingredients were 5230, as retrieved from TCMSP database. Twenty-six protein targets were found to be associated with epilepsy. Thirteen hub genes were regulated by CZD in epilepsy, including estradiol, ESR1, ESR2, SRC, CTNNB1, EP300, MAPK1, MAPK3, SP1, BRCA1, NCOA3, CHRM1, and GSK3B. The results of GO terms analysis showed that 8 GO terms were recovered in the form of 3 clusters, including negative regulation of protein kinase B signaling, positive regulation of interleukin-1 production, and microvillus assembly.
Network pharmacology approach provides better understanding of the underlying pharmacological mechanisms of CZD on epilepsy. Estradiol, ESR1, ESR2, CTNNB1, EP300, MAPK1, MAPK3, BRCA1, and GSK3B are likely to be important molecules regulated by CZD in treatment of epilepsy. Negative regulation of protein kinase B signaling may play vital roles in the treatment of epilepsy by CZD.
癫痫是一种以癫痫发作特征且与大脑神经功能异常相关的神经元疾病。中药方剂(CZD)在中国已被广泛用于治疗癫痫,但其药理机制仍不清楚。在本研究中,首次运用系统全面的网络药理学来揭示CZD治疗癫痫的潜在药理机制。
利用中药系统药理学(TCMSP)数据库及分析平台构建成分-靶点数据库。确定CZD的癫痫靶点后,基于从STITCH创建的蛋白质-蛋白质相互作用网络及利用Cytoscape-ClueGO插件进行的基因本体(GO)富集分析,评估它们与其他蛋白质的相互作用。
从TCMSP数据库检索发现,CZD方剂含有643种化学成分,这些成分的潜在蛋白质靶点有5230个。发现26个蛋白质靶点与癫痫相关。CZD在癫痫中调控13个枢纽基因,包括雌二醇、雌激素受体1(ESR1)、雌激素受体2(ESR2)、Src蛋白、β-连环蛋白(CTNNB1)、E1A结合蛋白p300(EP300)、丝裂原活化蛋白激酶1(MAPK1)、丝裂原活化蛋白激酶3(MAPK3)、特异性蛋白1(SP1)、乳腺癌1号基因(BRCA1)、核受体辅激活因子3(NCOA3)、毒蕈碱型乙酰胆碱受体M1(CHRM1)和糖原合成酶激酶3β(GSK3B)。GO术语分析结果显示,以3个簇的形式回收了8个GO术语,包括蛋白激酶B信号的负调控、白细胞介素-1产生的正调控和微绒毛组装。
网络药理学方法能更好地理解CZD治疗癫痫的潜在药理机制。雌二醇、ESR1、ESR2、CTNNB1、EP300、MAPK1、MAPK3、BRCA1和GSK3B可能是CZD治疗癫痫时调控的重要分子。蛋白激酶B信号的负调控可能在CZD治疗癫痫中起关键作用。