Feasibility of measuring blood-brain barrier permeability using ultra-short echo time radial magnetic resonance imaging.

5xFAD Alzheimer's disease DCE‐MRI aging blood‐brain barrier permeability focused ultrasound

Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705

Informations de publication

Date de publication:
14 Apr 2024
Historique:
revised: 14 03 2024
received: 22 01 2024
accepted: 14 03 2024
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 14 4 2024
Statut: aheadofprint

Résumé

The purpose of this study is to evaluate the feasibility of using 3-dimensional (3D) ultra-short echo time (UTE) radial imaging method for measurement of the permeability of the blood-brain barrier (BBB) to gadolinium-based contrast agent. In this study, we propose to use the golden-angle radial sparse parallel (GRASP) method with 3D center-out trajectories for UTE, hence named as 3D UTE-GRASP. We first examined the feasibility of using 3D UTE-GRASP dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) for differentiating subtle BBB disruptions induced by focused ultrasound (FUS). Then, we examined the BBB permeability changes in Alzheimer's disease (AD) pathology using Alzheimer's disease transgenic mice (5xFAD) at different ages. For FUS experiments, we used four Sprague Dawley rats at similar ages where we compared BBB permeability of each rat receiving the FUS sonication with different acoustic power (0.4-1.0 MPa). For AD transgenic mice experiments, we included three 5xFAD mice (6, 12, and 16 months old) and three wild-type mice (4, 8, and 12 months old). The result from FUS experiments showed a progressive increase in BBB permeability with increase of acoustic power (p < .05), demonstrating the sensitivity of DCE-MRI method for detecting subtle changes in BBB disruption. Our AD transgenic mice experiments suggest an early BBB disruption in 5xFAD mice, which is further impaired with aging. The results in this study substantiate the feasibility of using the proposed 3D UTE-GRASP method for detecting subtle BBB permeability changes expected in neurodegenerative diseases, such as AD.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
The purpose of this study is to evaluate the feasibility of using 3-dimensional (3D) ultra-short echo time (UTE) radial imaging method for measurement of the permeability of the blood-brain barrier (BBB) to gadolinium-based contrast agent. In this study, we propose to use the golden-angle radial sparse parallel (GRASP) method with 3D center-out trajectories for UTE, hence named as 3D UTE-GRASP. We first examined the feasibility of using 3D UTE-GRASP dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) for differentiating subtle BBB disruptions induced by focused ultrasound (FUS). Then, we examined the BBB permeability changes in Alzheimer's disease (AD) pathology using Alzheimer's disease transgenic mice (5xFAD) at different ages.
METHODS METHODS
For FUS experiments, we used four Sprague Dawley rats at similar ages where we compared BBB permeability of each rat receiving the FUS sonication with different acoustic power (0.4-1.0 MPa). For AD transgenic mice experiments, we included three 5xFAD mice (6, 12, and 16 months old) and three wild-type mice (4, 8, and 12 months old).
RESULTS RESULTS
The result from FUS experiments showed a progressive increase in BBB permeability with increase of acoustic power (p < .05), demonstrating the sensitivity of DCE-MRI method for detecting subtle changes in BBB disruption. Our AD transgenic mice experiments suggest an early BBB disruption in 5xFAD mice, which is further impaired with aging.
CONCLUSION CONCLUSIONS
The results in this study substantiate the feasibility of using the proposed 3D UTE-GRASP method for detecting subtle BBB permeability changes expected in neurodegenerative diseases, such as AD.

Identifiants

pubmed: 38616297
doi: 10.1111/jon.13199
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : R01CA160620
Pays : United States
Organisme : NIH HHS
ID : R01CA219964
Pays : United States
Organisme : NIH HHS
ID : UH3CA228699
Pays : United States

Informations de copyright

© 2024 American Society of Neuroimaging.

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Auteurs

Jonghyun Bae (J)

Vilcek Institute of Graduate Biomedical Science, New York University School of Medicine, New York, New York, USA.
Center for Biomedical Imaging, Radiology, New York University School of Medicine, New York, New York, USA.
Center for Advanced Imaging Innovation and Research, Radiology, New York University School of Medicine, New York, New York, USA.
Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Sawwal Qayyum (S)

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Jin Zhang (J)

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Ayesha Das (A)

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Isabel Reyes (I)

Center for Cognitive Neurology, Department of Neurology, New York University School of Medicine, New York, New York, USA.
Department of Neuroscience & Physiology, New York University School of Medicine, New York, New York, USA.
Neuroscience Institute, New York University School of Medicine, New York, New York, USA.

Eric Aronowitz (E)

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Mihaela A Stavarache (MA)

Department of Neurological Surgery, Weill Cornell Medical College, New York, New York, USA.

Michael G Kaplitt (MG)

Department of Neurological Surgery, Weill Cornell Medical College, New York, New York, USA.

Arjun Masurkar (A)

Center for Cognitive Neurology, Department of Neurology, New York University School of Medicine, New York, New York, USA.
Department of Neuroscience & Physiology, New York University School of Medicine, New York, New York, USA.
Neuroscience Institute, New York University School of Medicine, New York, New York, USA.

Sungheon Gene Kim (SG)

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Classifications MeSH