Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography
Alzheimer’s disease (AD) is characterized by formation of amyloid plaques and neurofibrillary tangles in the brain, which can be mimicked by transgenic mouse models. Here, we report on the characterization of amyloid load in the brains of two transgenic amyloidosis models using positron emission tom...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2021-10-01
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Series: | Frontiers in Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2021.699926/full |
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doaj-51186c5f2d9b4530b8dde522890f16fe |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antje Willuweit Michael Schöneck Sarah Schemmert Philipp Lohmann Philipp Lohmann Saskia Bremen Dominik Honold Nicole Burda Nan Jiang Simone Beer Johannes Ermert Dieter Willbold Dieter Willbold N. Jon Shah N. Jon Shah N. Jon Shah Karl-Josef Langen Karl-Josef Langen |
spellingShingle |
Antje Willuweit Michael Schöneck Sarah Schemmert Philipp Lohmann Philipp Lohmann Saskia Bremen Dominik Honold Nicole Burda Nan Jiang Simone Beer Johannes Ermert Dieter Willbold Dieter Willbold N. Jon Shah N. Jon Shah N. Jon Shah Karl-Josef Langen Karl-Josef Langen Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography Frontiers in Neuroscience Alzheimer’s disease small animal imaging florbetaben amyloid imaging plaque burden amyloidosis mouse model |
author_facet |
Antje Willuweit Michael Schöneck Sarah Schemmert Philipp Lohmann Philipp Lohmann Saskia Bremen Dominik Honold Nicole Burda Nan Jiang Simone Beer Johannes Ermert Dieter Willbold Dieter Willbold N. Jon Shah N. Jon Shah N. Jon Shah Karl-Josef Langen Karl-Josef Langen |
author_sort |
Antje Willuweit |
title |
Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography |
title_short |
Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography |
title_full |
Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography |
title_fullStr |
Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography |
title_full_unstemmed |
Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography |
title_sort |
comparison of the amyloid load in the brains of two transgenic alzheimer’s disease mouse models quantified by florbetaben positron emission tomography |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroscience |
issn |
1662-453X |
publishDate |
2021-10-01 |
description |
Alzheimer’s disease (AD) is characterized by formation of amyloid plaques and neurofibrillary tangles in the brain, which can be mimicked by transgenic mouse models. Here, we report on the characterization of amyloid load in the brains of two transgenic amyloidosis models using positron emission tomography (PET) with florbetaben (FBB), an 18F-labeled amyloid PET tracer routinely used in AD patients. Young, middle-aged, and old homozygous APP/PS1 mice (ARTE10), old hemizygous APPswe/PS1ΔE9, and old wild-type control mice were subjected to FBB PET using a small animal PET/computed tomography scanner. After PET, brains were excised, and ex vivo autoradiography was performed. Plaque pathology was verified on brain sections with histological methods. Amyloid plaque load increased progressively with age in the cortex and hippocampus of ARTE10 mice, which could be detected with both in vivo FBB PET and ex vivo autoradiography. FBB retention showed significant differences to wild-type controls already at 9 months of age by both in vivo and ex vivo analyses. An excellent correlation between data derived from PET and autoradiography could be obtained (rPearson = 0.947, p < 0.0001). Although amyloid load detected by FBB in the brains of old APPswe/PS1ΔE9 mice was as low as values obtained with young ARTE10 mice, statistically significant discrimination to wild-type animals was reached (p < 0.01). In comparison to amyloid burden quantified by histological analysis, FBB retention correlated best with total plaque load and number of congophilic plaques in the brains of both mouse models. In conclusion, the homozygous ARTE10 mouse model showed superior properties over APPswe/PS1ΔE9 mice for FBB small animal amyloid PET imaging. The absolute amount of congophilic dense-cored plaques seems to be the decisive factor for feasibility of amyloidosis models for amyloid PET analysis. |
topic |
Alzheimer’s disease small animal imaging florbetaben amyloid imaging plaque burden amyloidosis mouse model |
url |
https://www.frontiersin.org/articles/10.3389/fnins.2021.699926/full |
work_keys_str_mv |
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doaj-51186c5f2d9b4530b8dde522890f16fe2021-10-04T05:20:44ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-10-011510.3389/fnins.2021.699926699926Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission TomographyAntje Willuweit0Michael Schöneck1Sarah Schemmert2Philipp Lohmann3Philipp Lohmann4Saskia Bremen5Dominik Honold6Nicole Burda7Nan Jiang8Simone Beer9Johannes Ermert10Dieter Willbold11Dieter Willbold12N. Jon Shah13N. Jon Shah14N. Jon Shah15Karl-Josef Langen16Karl-Josef Langen17Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyDepartment of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyInstitute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, GermanyInstitut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyJARA-Brain-Translational Medicine, Aachen, GermanyDepartment of Neurology, RWTH Aachen University, Aachen, GermanyInstitute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, GermanyDepartment of Nuclear Medicine, RWTH Aachen University, Aachen, GermanyAlzheimer’s disease (AD) is characterized by formation of amyloid plaques and neurofibrillary tangles in the brain, which can be mimicked by transgenic mouse models. Here, we report on the characterization of amyloid load in the brains of two transgenic amyloidosis models using positron emission tomography (PET) with florbetaben (FBB), an 18F-labeled amyloid PET tracer routinely used in AD patients. Young, middle-aged, and old homozygous APP/PS1 mice (ARTE10), old hemizygous APPswe/PS1ΔE9, and old wild-type control mice were subjected to FBB PET using a small animal PET/computed tomography scanner. After PET, brains were excised, and ex vivo autoradiography was performed. Plaque pathology was verified on brain sections with histological methods. Amyloid plaque load increased progressively with age in the cortex and hippocampus of ARTE10 mice, which could be detected with both in vivo FBB PET and ex vivo autoradiography. FBB retention showed significant differences to wild-type controls already at 9 months of age by both in vivo and ex vivo analyses. An excellent correlation between data derived from PET and autoradiography could be obtained (rPearson = 0.947, p < 0.0001). Although amyloid load detected by FBB in the brains of old APPswe/PS1ΔE9 mice was as low as values obtained with young ARTE10 mice, statistically significant discrimination to wild-type animals was reached (p < 0.01). In comparison to amyloid burden quantified by histological analysis, FBB retention correlated best with total plaque load and number of congophilic plaques in the brains of both mouse models. In conclusion, the homozygous ARTE10 mouse model showed superior properties over APPswe/PS1ΔE9 mice for FBB small animal amyloid PET imaging. The absolute amount of congophilic dense-cored plaques seems to be the decisive factor for feasibility of amyloidosis models for amyloid PET analysis.https://www.frontiersin.org/articles/10.3389/fnins.2021.699926/fullAlzheimer’s diseasesmall animal imagingflorbetabenamyloid imagingplaque burdenamyloidosis mouse model |