MRI characterization of paranodal junction failure and related spinal cord changes in mice

Morito Takano1, Keigo Hikishima, Kanehiro Fujiyoshi

  • 1Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.

Plos One
|January 10, 2013
PubMed

Insights

High-resolution MRI and DTI can detect spinal cord paranodal junction failure in mice, offering a non-invasive method for evaluating white matter disorders. These imaging techniques revealed subtle structural changes not easily seen with histology alone.

Area of Science:

  • Neuroscience
  • Biomedical Imaging
  • Histopathology

Background:

  • The paranodal junction is crucial for neuronal function in the central nervous system (CNS).
  • Traditionally, detecting paranodal junction pathology required invasive histological methods.
  • Diffusion tensor MRI (DTI) shows promise for assessing microstructural changes in CNS diseases.

Purpose of the Study:

  • To investigate if Magnetic Resonance Imaging (MRI) and DTI can detect structural changes in spinal cord paranodal junctions.
  • To evaluate these imaging techniques in cerebroside sulfotransferase knock-out (CST-KO) mice, a model for white matter disorders.

Main Methods:

  • High-resolution MRI and DTI were performed on the spinal cords of CST-KO and wild-type (WT) mice.
  • Quantitative MRI parameters (T1, T2 times) and DTI metrics (axial diffusivity, radial diffusivity) were analyzed.
  • Histological and electrophysiological assessments were conducted for comparison.

Main Results:

  • CST-KO mice exhibited significantly lower T1 times and higher T2 times in spinal cord MRIs compared to WT mice.
  • Spinal cord DTI revealed significantly lower axial diffusivity and higher radial diffusivity in CST-KO mice.
  • Histological differences were subtle, requiring electron microscopy or immunohistochemistry for detection.

Conclusions:

  • High-resolution MRI and DTI can effectively detect paranodal junction failure in the spinal cord.
  • These imaging modalities offer a sensitive, non-invasive approach to evaluate white matter disorders involving paranodal defects.
  • Findings suggest MRI and DTI's potential for diagnosing and monitoring CNS white matter diseases.

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