Li Yang, Zhou Kejun, Zhang Zhao, Sun Liya, Yang Jinglei, Zhang Ming, Ji Baohu, Tang Kefu, Wei Zhiyun, He Guang, Gao Linghan, Yang Lun, Wang Peng, Yang Ping, Feng Guoying, He Lin, Wan Chunling
Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.
Mol Biosyst. 2012 Oct;8(10):2664-71. doi: 10.1039/c2mb25158b.
Schizophrenia is a complex mental disease caused by a combination of serial alterations in genetic and environmental factors. Although the brain is usually considered as the most relevant organ in schizophrenia, accumulated evidence suggests that peripheral tissues also contribute to this disease. In particular, abnormalities of the immune system have been identified in the peripheral blood of schizophrenia patients. To screen the serum proteomic signature of schizophrenia patients, we conducted shotgun proteomic analysis on serum samples of schizophrenia patients and healthy controls. High-abundance proteins were eliminated by immunoaffinity before LC-MS/MS analysis. The multivariate statistical test partial least squares-discriminant analysis (PLS-DA) was applied to build models for screening out variable importance in the projection (VIP) and 27 proteins were identified as being responsible for discriminating between the proteomic profiles of schizophrenia patients and healthy controls. Pathway analysis based on these 27 proteins revealed that complement and coagulation cascades was the most significant pathway. ELISA-based activity analyses indicated that the alternative complement pathway was suppressed in schizophrenia patients. Ingenuity pathways analysis was used to conduct the interaction network of 27 proteins. The network exhibited common features such as, nervous system development and function, humoral immune response and inflammatory response, and highlighted some proteins with important roles in the immune system, such as hub nodes. Our findings indicate dysregulation of the alternative complement pathway in schizophrenia patients. The protein interaction network enhances the interpretation of proteomic data and provides evidence that the immune system may contribute to schizophrenia.
精神分裂症是一种由遗传和环境因素的一系列改变共同引起的复杂精神疾病。尽管大脑通常被认为是与精神分裂症最相关的器官,但越来越多的证据表明外周组织也与这种疾病有关。特别是,在精神分裂症患者的外周血中已发现免疫系统存在异常。为了筛选精神分裂症患者的血清蛋白质组特征,我们对精神分裂症患者和健康对照的血清样本进行了鸟枪法蛋白质组分析。在进行液相色谱-串联质谱(LC-MS/MS)分析之前,通过免疫亲和法去除高丰度蛋白质。应用多变量统计测试偏最小二乘判别分析(PLS-DA)建立模型,以筛选出投影变量重要性(VIP),并鉴定出27种蛋白质可区分精神分裂症患者和健康对照的蛋白质组谱。基于这27种蛋白质的通路分析表明,补体和凝血级联是最显著的通路。基于酶联免疫吸附测定(ELISA)的活性分析表明,精神分裂症患者的替代补体途径受到抑制。使用 Ingenuity 通路分析构建这27种蛋白质的相互作用网络。该网络呈现出诸如神经系统发育和功能、体液免疫反应和炎症反应等共同特征,并突出了一些在免疫系统中起重要作用的蛋白质,如枢纽节点。我们的研究结果表明精神分裂症患者的替代补体途径失调。蛋白质相互作用网络增强了对蛋白质组数据的解释,并提供了证据表明免疫系统可能与精神分裂症有关。