Dynamic Study of Blood–Brain Barrier Closure after its Disruption using Ultrasound: A Quantitative Analysis

Delivery of therapeutic or diagnostic agents to the brain is majorly hindered by the blood–brain barrier (BBB). Recently, many studies have demonstrated local and transient disruption of the BBB using low power ultrasound sonication combined with intravascular microbubbles. However, BBB opening and...

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Published inJournal of cerebral blood flow and metabolism Vol. 32; no. 10; pp. 1948 - 1958
Main Authors Marty, Benjamin, Larrat, Benoit, Van Landeghem, Maxime, Robic, Caroline, Robert, Philippe, Port, Marc, Le Bihan, Denis, Pernot, Mathieu, Tanter, Mickael, Lethimonnier, Franck, Mériaux, Sébastien
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.10.2012
Nature Publishing Group
Sage Publications Ltd
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Summary:Delivery of therapeutic or diagnostic agents to the brain is majorly hindered by the blood–brain barrier (BBB). Recently, many studies have demonstrated local and transient disruption of the BBB using low power ultrasound sonication combined with intravascular microbubbles. However, BBB opening and closure mechanisms are poorly understood, especially the maximum gap that may be safely generated between endothelial cells and the duration of opening of the BBB. Here, we studied BBB opening and closure under magnetic resonance (MR) guidance in a rat model. First, MR contrast agents (CA) of different hydrodynamic diameters (1 to 65 nm) were employed to estimate the largest molecular size permissible across the cerebral tissues. Second, to estimate the duration of the BBB opening, the CA were injected at various times post-BBB disruption (12 minutes to 24 hours). A T1 mapping strategy was developed to assess CA concentration at the ultrasound (US) focal point. Based on our experimental data and BBB closure modeling, a calibration curve was obtained to compute the half closure time as a function of CA hydrodynamic diameter. These findings and the model provide an invaluable basis for optimal design and delivery of nanoparticles to the brain.
Bibliography:ObjectType-Article-2
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ISSN:0271-678X
1559-7016
DOI:10.1038/jcbfm.2012.100