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Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology
BACKGROUND: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly population. In this study, we used the APP/PS1 transgenic mouse model to explore the feasibility of using diffusion kurtosis imaging (DKI) as a tool for the early det...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389136/ https://www.ncbi.nlm.nih.gov/pubmed/29370870 http://dx.doi.org/10.1186/s13195-017-0329-8 |
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author | Praet, Jelle Manyakov, Nikolay V. Muchene, Leacky Mai, Zhenhua Terzopoulos, Vasilis de Backer, Steve Torremans, An Guns, Pieter-Jan Van De Casteele, Tom Bottelbergs, Astrid Van Broeck, Bianca Sijbers, Jan Smeets, Dirk Shkedy, Ziv Bijnens, Luc Pemberton, Darrel J. Schmidt, Mark E. Van der Linden, Annemie Verhoye, Marleen |
author_facet | Praet, Jelle Manyakov, Nikolay V. Muchene, Leacky Mai, Zhenhua Terzopoulos, Vasilis de Backer, Steve Torremans, An Guns, Pieter-Jan Van De Casteele, Tom Bottelbergs, Astrid Van Broeck, Bianca Sijbers, Jan Smeets, Dirk Shkedy, Ziv Bijnens, Luc Pemberton, Darrel J. Schmidt, Mark E. Van der Linden, Annemie Verhoye, Marleen |
author_sort | Praet, Jelle |
collection | PubMed |
description | BACKGROUND: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly population. In this study, we used the APP/PS1 transgenic mouse model to explore the feasibility of using diffusion kurtosis imaging (DKI) as a tool for the early detection of microstructural changes in the brain due to amyloid-β (Aβ) plaque deposition. METHODS: We longitudinally acquired DKI data of wild-type (WT) and APP/PS1 mice at 2, 4, 6 and 8 months of age, after which these mice were sacrificed for histological examination. Three additional cohorts of mice were also included at 2, 4 and 6 months of age to allow voxel-based co-registration between diffusion tensor and diffusion kurtosis metrics and immunohistochemistry. RESULTS: Changes were observed in diffusion tensor (DT) and diffusion kurtosis (DK) metrics in many of the 23 regions of interest that were analysed. Mean and axial kurtosis were greatly increased owing to Aβ-induced pathological changes in the motor cortex of APP/PS1 mice at 4, 6 and 8 months of age. Additionally, fractional anisotropy (FA) was decreased in APP/PS1 mice at these respective ages. Linear discriminant analysis of the motor cortex data indicated that combining diffusion tensor and diffusion kurtosis metrics permits improved separation of WT from APP/PS1 mice compared with either diffusion tensor or diffusion kurtosis metrics alone. We observed that mean kurtosis and FA are the critical metrics for a correct genotype classification. Furthermore, using a newly developed platform to co-register the in vivo diffusion-weighted magnetic resonance imaging with multiple 3D histological stacks, we found high correlations between DK metrics and anti-Aβ (clone 4G8) antibody, glial fibrillary acidic protein, ionised calcium-binding adapter molecule 1 and myelin basic protein immunohistochemistry. Finally, we observed reduced FA in the septal nuclei of APP/PS1 mice at all ages investigated. The latter was at least partially also observed by voxel-based statistical parametric mapping, which showed significantly reduced FA in the septal nuclei, as well as in the corpus callosum, of 8-month-old APP/PS1 mice compared with WT mice. CONCLUSIONS: Our results indicate that DKI metrics hold tremendous potential for the early detection and longitudinal follow-up of Aβ-induced pathology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (DOI: 10.1186/s13195-017-0329-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6389136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63891362019-03-19 Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology Praet, Jelle Manyakov, Nikolay V. Muchene, Leacky Mai, Zhenhua Terzopoulos, Vasilis de Backer, Steve Torremans, An Guns, Pieter-Jan Van De Casteele, Tom Bottelbergs, Astrid Van Broeck, Bianca Sijbers, Jan Smeets, Dirk Shkedy, Ziv Bijnens, Luc Pemberton, Darrel J. Schmidt, Mark E. Van der Linden, Annemie Verhoye, Marleen Alzheimers Res Ther Research BACKGROUND: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly population. In this study, we used the APP/PS1 transgenic mouse model to explore the feasibility of using diffusion kurtosis imaging (DKI) as a tool for the early detection of microstructural changes in the brain due to amyloid-β (Aβ) plaque deposition. METHODS: We longitudinally acquired DKI data of wild-type (WT) and APP/PS1 mice at 2, 4, 6 and 8 months of age, after which these mice were sacrificed for histological examination. Three additional cohorts of mice were also included at 2, 4 and 6 months of age to allow voxel-based co-registration between diffusion tensor and diffusion kurtosis metrics and immunohistochemistry. RESULTS: Changes were observed in diffusion tensor (DT) and diffusion kurtosis (DK) metrics in many of the 23 regions of interest that were analysed. Mean and axial kurtosis were greatly increased owing to Aβ-induced pathological changes in the motor cortex of APP/PS1 mice at 4, 6 and 8 months of age. Additionally, fractional anisotropy (FA) was decreased in APP/PS1 mice at these respective ages. Linear discriminant analysis of the motor cortex data indicated that combining diffusion tensor and diffusion kurtosis metrics permits improved separation of WT from APP/PS1 mice compared with either diffusion tensor or diffusion kurtosis metrics alone. We observed that mean kurtosis and FA are the critical metrics for a correct genotype classification. Furthermore, using a newly developed platform to co-register the in vivo diffusion-weighted magnetic resonance imaging with multiple 3D histological stacks, we found high correlations between DK metrics and anti-Aβ (clone 4G8) antibody, glial fibrillary acidic protein, ionised calcium-binding adapter molecule 1 and myelin basic protein immunohistochemistry. Finally, we observed reduced FA in the septal nuclei of APP/PS1 mice at all ages investigated. The latter was at least partially also observed by voxel-based statistical parametric mapping, which showed significantly reduced FA in the septal nuclei, as well as in the corpus callosum, of 8-month-old APP/PS1 mice compared with WT mice. CONCLUSIONS: Our results indicate that DKI metrics hold tremendous potential for the early detection and longitudinal follow-up of Aβ-induced pathology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (DOI: 10.1186/s13195-017-0329-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-09 /pmc/articles/PMC6389136/ /pubmed/29370870 http://dx.doi.org/10.1186/s13195-017-0329-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Praet, Jelle Manyakov, Nikolay V. Muchene, Leacky Mai, Zhenhua Terzopoulos, Vasilis de Backer, Steve Torremans, An Guns, Pieter-Jan Van De Casteele, Tom Bottelbergs, Astrid Van Broeck, Bianca Sijbers, Jan Smeets, Dirk Shkedy, Ziv Bijnens, Luc Pemberton, Darrel J. Schmidt, Mark E. Van der Linden, Annemie Verhoye, Marleen Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title | Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title_full | Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title_fullStr | Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title_full_unstemmed | Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title_short | Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
title_sort | diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389136/ https://www.ncbi.nlm.nih.gov/pubmed/29370870 http://dx.doi.org/10.1186/s13195-017-0329-8 |
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