Prediction of disease activity in models of multiple sclerosis by molecular magnetic resonance imaging of P-selectin

Proc Natl Acad Sci U S A. 2017 Jun 6;114(23):6116-6121. doi: 10.1073/pnas.1619424114. Epub 2017 May 22.

Abstract

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.

Keywords: MPIO; USPIO; blood–brain barrier; contrast agent; spinal cord.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Blood-Brain Barrier / diagnostic imaging
  • Brain / pathology
  • Contrast Media
  • Disease Models, Animal
  • Disease Progression
  • Encephalomyelitis, Autoimmune, Experimental / pathology
  • Magnetic Resonance Imaging / methods*
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Multiple Sclerosis / diagnostic imaging*
  • Multiple Sclerosis / metabolism
  • Multiple Sclerosis / pathology*
  • P-Selectin / metabolism
  • Recurrence
  • Spinal Cord / pathology

Substances

  • Contrast Media
  • P-Selectin