Evolution of the blood-brain barrier in newly forming multiple sclerosis lesions

María I Gaitán1, Colin D Shea, Iordanis E Evangelou

  • 1Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.

Annals of Neurology
|June 29, 2011
PubMed
Abstract

Insights

New multiple sclerosis (MS) lesions show distinct patterns of blood-brain barrier (BBB) breakdown and expansion over time. Dynamic contrast-enhanced MRI reveals how these MS lesions grow and change, offering insights into disease progression.

Area of Science:

  • Neuroimaging
  • Neurology
  • Pathology

Background:

  • Multiple sclerosis (MS) lesions typically form around inflamed veins.
  • Gadolinium enhancement on MRI indicates blood-brain barrier (BBB) disruption in new MS lesions.
  • Standard MRI and pathology lack the temporal resolution to track lesion expansion dynamics.

Purpose of the Study:

  • To investigate the spatiotemporal development and expansion of new MS lesions.
  • To focus on the dynamic changes in BBB permeability during lesion formation.
  • To characterize enhancement patterns and their evolution using dynamic contrast-enhanced MRI (DCE-MRI).

Main Methods:

  • Dynamic contrast-enhanced MRI (DCE-MRI) was performed on patients with relapsing-remitting MS.
  • Data acquisition covered 65 minutes, including gadolinium injection.
  • Spatiotemporal enhancement patterns were classified as centrifugal (outward) or centripetal (inward).

Main Results:

  • 34 enhancing lesions were identified across 200 DCE-MRI scans.
  • Initial enhancement patterns included closed rings (65%), nodules (18%), and open rings (18%).
  • Nodular lesions enhanced centrifugally; ring lesions enhanced centripetally, evolving over days. Centrifugal enhancement transitioned to centripetal over time.

Conclusions:

  • The shift from centrifugal to centripetal enhancement reflects MS lesion growth around a central vein.
  • This dynamic change suggests temporally and spatially distinct factors influence lesion growth and repair.
  • A novel model of MS lesion growth is proposed, integrating imaging findings with pathology data.