Raphael Itay, Webb Johanna, Gomez-Rivera Francisco, Chase Huizar Carol A, Gupta Rishein, Arulanandam Bernard P, Wang Yufeng, Haskins William E, Forsthuber Thomas G
Department of Biology, University of Texas at San Antonio, San Antonio, TX, United States.
Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Front Immunol. 2017 Jul 17;8:812. doi: 10.3389/fimmu.2017.00812. eCollection 2017.
There is an urgent need in multiple sclerosis (MS) patients to develop biomarkers and laboratory tests to improve early diagnosis, predict clinical relapses, and optimize treatment responses. In healthy individuals, the transport of proteins across the blood-brain barrier (BBB) is tightly regulated, whereas, in MS, central nervous system (CNS) inflammation results in damage to neuronal tissues, disruption of BBB integrity, and potential release of neuroinflammatory disease-induced CNS proteins (NDICPs) into CSF and serum. Therefore, changes in serum NDICP abundance could serve as biomarkers of MS. Here, we sought to determine if changes in serum NDICPs are detectable prior to clinical onset of experimental autoimmune encephalomyelitis (EAE) and, therefore, enable prediction of disease onset. Importantly, we show in longitudinal serum specimens from individual mice with EAE that pre-onset expression waves of synapsin-2, glutamine synthetase, enolase-2, and synaptotagmin-1 enable the prediction of clinical disease with high sensitivity and specificity. Moreover, we observed differences in serum NDICPs between active and passive immunization in EAE, suggesting hitherto not appreciated differences for disease induction mechanisms. Our studies provide the first evidence for enabling the prediction of clinical disease using serum NDICPs. The results provide proof-of-concept for the development of high-confidence serum NDICP expression waves and protein biomarker candidates for MS.
多发性硬化症(MS)患者迫切需要开发生物标志物和实验室检测方法,以改善早期诊断、预测临床复发并优化治疗反应。在健康个体中,蛋白质穿过血脑屏障(BBB)的运输受到严格调控,而在MS中,中枢神经系统(CNS)炎症会导致神经元组织受损、BBB完整性破坏以及神经炎性疾病诱导的中枢神经系统蛋白(NDICPs)可能释放到脑脊液和血清中。因此,血清中NDICP丰度的变化可作为MS的生物标志物。在此,我们试图确定在实验性自身免疫性脑脊髓炎(EAE)临床发病前血清NDICPs的变化是否可检测到,从而能够预测疾病发作。重要的是,我们在患有EAE的个体小鼠的纵向血清样本中发现,突触素-2、谷氨酰胺合成酶、烯醇化酶-2和突触结合蛋白-1的发病前表达波能够以高灵敏度和特异性预测临床疾病。此外,我们观察到EAE主动免疫和被动免疫之间血清NDICPs存在差异,这表明疾病诱导机制存在迄今未被认识到的差异。我们的研究首次提供了使用血清NDICPs预测临床疾病的证据。这些结果为开发用于MS的高可信度血清NDICP表达波和蛋白质生物标志物候选物提供了概念验证。