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Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) can be used to monitor pathological changes in Alzheimer's disease (AD). The objective of this longitudinal study was to assess the effects of progressive amyloid-related pathology on multiple MRI parameters in transgenic arcAβ mice, a mouse model of cerebral am...

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Autores principales: Klohs, Jan, Politano, Igna Wojtyna, Deistung, Andreas, Grandjean, Joanes, Drewek, Anna, Dominietto, Marco, Keist, Ruth, Schweser, Ferdinand, Reichenbach, Jürgen R., Nitsch, Roger M., Knuesel, Irene, Rudin, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686820/
https://www.ncbi.nlm.nih.gov/pubmed/23840405
http://dx.doi.org/10.1371/journal.pone.0066097
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author Klohs, Jan
Politano, Igna Wojtyna
Deistung, Andreas
Grandjean, Joanes
Drewek, Anna
Dominietto, Marco
Keist, Ruth
Schweser, Ferdinand
Reichenbach, Jürgen R.
Nitsch, Roger M.
Knuesel, Irene
Rudin, Markus
author_facet Klohs, Jan
Politano, Igna Wojtyna
Deistung, Andreas
Grandjean, Joanes
Drewek, Anna
Dominietto, Marco
Keist, Ruth
Schweser, Ferdinand
Reichenbach, Jürgen R.
Nitsch, Roger M.
Knuesel, Irene
Rudin, Markus
author_sort Klohs, Jan
collection PubMed
description Magnetic resonance imaging (MRI) can be used to monitor pathological changes in Alzheimer's disease (AD). The objective of this longitudinal study was to assess the effects of progressive amyloid-related pathology on multiple MRI parameters in transgenic arcAβ mice, a mouse model of cerebral amyloidosis. Diffusion-weighted imaging (DWI), T(1)-mapping and quantitative susceptibility mapping (QSM), a novel MRI based technique, were applied to monitor structural alterations and changes in tissue composition imposed by the pathology over time. Vascular function and integrity was studied by assessing blood-brain barrier integrity with dynamic contrast-enhanced MRI and cerebral microbleed (CMB) load with susceptibility weighted imaging and QSM. A linear mixed effects model was built for each MRI parameter to incorporate effects within and between groups (i.e. genotype) and to account for changes unrelated to the disease pathology. Linear mixed effects modelling revealed a strong association of all investigated MRI parameters with age. DWI and QSM in addition revealed differences between arcAβ and wt mice over time. CMBs became apparent in arcAβ mice with 9 month of age; and the CMB load reflected disease stage. This study demonstrates the benefits of linear mixed effects modelling of longitudinal imaging data. Moreover, the diagnostic utility of QSM and assessment of CMB load should be exploited further in studies of AD.
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spelling pubmed-36868202013-07-09 Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging Klohs, Jan Politano, Igna Wojtyna Deistung, Andreas Grandjean, Joanes Drewek, Anna Dominietto, Marco Keist, Ruth Schweser, Ferdinand Reichenbach, Jürgen R. Nitsch, Roger M. Knuesel, Irene Rudin, Markus PLoS One Research Article Magnetic resonance imaging (MRI) can be used to monitor pathological changes in Alzheimer's disease (AD). The objective of this longitudinal study was to assess the effects of progressive amyloid-related pathology on multiple MRI parameters in transgenic arcAβ mice, a mouse model of cerebral amyloidosis. Diffusion-weighted imaging (DWI), T(1)-mapping and quantitative susceptibility mapping (QSM), a novel MRI based technique, were applied to monitor structural alterations and changes in tissue composition imposed by the pathology over time. Vascular function and integrity was studied by assessing blood-brain barrier integrity with dynamic contrast-enhanced MRI and cerebral microbleed (CMB) load with susceptibility weighted imaging and QSM. A linear mixed effects model was built for each MRI parameter to incorporate effects within and between groups (i.e. genotype) and to account for changes unrelated to the disease pathology. Linear mixed effects modelling revealed a strong association of all investigated MRI parameters with age. DWI and QSM in addition revealed differences between arcAβ and wt mice over time. CMBs became apparent in arcAβ mice with 9 month of age; and the CMB load reflected disease stage. This study demonstrates the benefits of linear mixed effects modelling of longitudinal imaging data. Moreover, the diagnostic utility of QSM and assessment of CMB load should be exploited further in studies of AD. Public Library of Science 2013-06-19 /pmc/articles/PMC3686820/ /pubmed/23840405 http://dx.doi.org/10.1371/journal.pone.0066097 Text en © 2013 Klohs et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Klohs, Jan
Politano, Igna Wojtyna
Deistung, Andreas
Grandjean, Joanes
Drewek, Anna
Dominietto, Marco
Keist, Ruth
Schweser, Ferdinand
Reichenbach, Jürgen R.
Nitsch, Roger M.
Knuesel, Irene
Rudin, Markus
Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title_full Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title_fullStr Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title_full_unstemmed Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title_short Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
title_sort longitudinal assessment of amyloid pathology in transgenic arcaβ mice using multi-parametric magnetic resonance imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686820/
https://www.ncbi.nlm.nih.gov/pubmed/23840405
http://dx.doi.org/10.1371/journal.pone.0066097
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