Ji Baohu, Zhang Zhao, Zhang Ming, Zhu Hui, Zhou Kejun, Yang Jinglei, Li Yang, Sun Liya, Feng Guoyin, Wang Yujiong, He Lin, Wan Chunling
Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
Brain Res. 2009 Oct 27;1295:170-8. doi: 10.1016/j.brainres.2009.07.097. Epub 2009 Aug 4.
This study used a comparative proteomics approach to identify the effects of the antipsychotic drugs, Chlorpromazine (CPZ), Clozapine (CLZ), and Quetiapine (QTP) on the synaptosomal protein of the cerebral cortex of Sprague-Dawley (SD) rats. The multivariate statistical test partial least squares-discriminant analysis (PLS-DA) was applied to build the models for screening out the variable important plot (VIP). The PLS-DA models were able to distinguish each drug treatment group and the control group; more importantly, the univariate differentially expressed protein spots were capable of being verified by the VIP of the models. The interrelationships among the identified proteins were analyzed using Pearson's correlation analysis and pathway analysis. Through the synaptosome proteome experiments, we established that the energy production of the mitochondrial function and 'Glycolysis/Gluconeogenesis' were involved in the response to antipsychotic medications. Furthermore, the G protein-coupled signal transduction system was also inhibited by antipsychotic medications. The result of our study should contribute to the understanding of the effects of antipsychotic drugs on synaptic function.
本研究采用比较蛋白质组学方法,以确定抗精神病药物氯丙嗪(CPZ)、氯氮平(CLZ)和喹硫平(QTP)对Sprague-Dawley(SD)大鼠大脑皮质突触体蛋白的影响。应用多元统计检验偏最小二乘判别分析(PLS-DA)建立模型,以筛选出变量重要性投影(VIP)。PLS-DA模型能够区分各药物治疗组和对照组;更重要的是,单变量差异表达蛋白点能够通过模型的VIP进行验证。使用Pearson相关分析和通路分析对鉴定出的蛋白质之间的相互关系进行分析。通过突触体蛋白质组实验,我们确定线粒体功能的能量产生和“糖酵解/糖异生”参与了对抗精神病药物的反应。此外,抗精神病药物也抑制了G蛋白偶联信号转导系统。我们的研究结果应有助于理解抗精神病药物对突触功能的影响。