文章基本信息

标题：Prediction of disease activity in models of multiple sclerosis by molecular magnetic resonance imaging of P-selectin
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作者：Antoine Philippe Fournier ; Aurélien Quenault ; Sara Martinez de Lizarrondo 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2017
卷号：114
期号：23
页码：6116-6121
DOI：10.1073/pnas.1619424114
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：New strategies for detecting disease activity in multiple sclerosis are being investigated to ameliorate diagnosis and follow-up of patients. Today, although magnetic resonance imaging (MRI) is widely used to diagnose and monitor multiple sclerosis, no imaging tools exist to predict the evolution of disease and the efficacy of therapeutic strategies. Here, we show that molecular MRI targeting the endothelial adhesion molecule P-selectin unmasks the pathological events that take place in the spinal cord of mice subjected to chronic or relapsing experimental autoimmune encephalomyelitis. This approach provides a quantitative spatiotemporal follow-up of disease course in relation to clinical manifestations. Moreover, it predicts relapse in asymptomatic mice and remission in symptomatic animals. Future molecular MRI targeting P-selectin may be used to improve diagnosis, follow-up of treatment, and management of relapse/remission cycles in multiple sclerosis patients by providing information currently inaccessible through conventional MRI techniques.
关键词：MPIO ; spinal cord ; contrast agent ; blood–brain barrier ; USPIO