Cargando…
Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities
Imaging biomarkers are frequently proposed as endpoints for clinical trials targeting brain amyloidosis in Alzheimer's disease (AD); however, the specific impact of amyloid-β (Aβ) aggregation on biomarker abnormalities remains elusive in AD. Using the McGill-R-Thy1-APP transgenic rat as a model...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729194/ https://www.ncbi.nlm.nih.gov/pubmed/29097597 http://dx.doi.org/10.1523/JNEUROSCI.1346-17.2017 |
_version_ | 1783286142437687296 |
---|---|
author | Parent, Maxime J. Zimmer, Eduardo R. Shin, Monica Kang, Min Su Fonov, Vladimir S. Mathieu, Axel Aliaga, Antonio Kostikov, Alexey Do Carmo, Sonia Dea, Doris Poirier, Judes Soucy, Jean-Paul Gauthier, Serge Cuello, A. Claudio Rosa-Neto, Pedro |
author_facet | Parent, Maxime J. Zimmer, Eduardo R. Shin, Monica Kang, Min Su Fonov, Vladimir S. Mathieu, Axel Aliaga, Antonio Kostikov, Alexey Do Carmo, Sonia Dea, Doris Poirier, Judes Soucy, Jean-Paul Gauthier, Serge Cuello, A. Claudio Rosa-Neto, Pedro |
author_sort | Parent, Maxime J. |
collection | PubMed |
description | Imaging biomarkers are frequently proposed as endpoints for clinical trials targeting brain amyloidosis in Alzheimer's disease (AD); however, the specific impact of amyloid-β (Aβ) aggregation on biomarker abnormalities remains elusive in AD. Using the McGill-R-Thy1-APP transgenic rat as a model of selective Aβ pathology, we characterized the longitudinal progression of abnormalities in biomarkers commonly used in AD research. Middle-aged (9–11 months) transgenic animals (both male and female) displayed mild spatial memory impairments and disrupted cingulate network connectivity measured by resting-state fMRI, even in the absence of hypometabolism (measured with PET [(18)F]FDG) or detectable fibrillary amyloidosis (measured with PET [(18)F]NAV4694). At more advanced ages (16–19 months), cognitive deficits progressed in conjunction with resting connectivity abnormalities; furthermore, hypometabolism, Aβ plaque accumulation, reduction of CSF Aβ(1-42) concentrations, and hippocampal atrophy (structural MRI) were detectable at this stage. The present results emphasize the early impact of Aβ on brain connectivity and support a framework in which persistent Aβ aggregation itself is sufficient to impose memory circuits dysfunction, which propagates to adjacent brain networks at later stages. SIGNIFICANCE STATEMENT The present study proposes a “back translation” of the Alzheimer pathological cascade concept from human to animals. We used the same set of Alzheimer imaging biomarkers typically used in large human cohorts and assessed their progression over time in a transgenic rat model, which allows for a finer spatial resolution not attainable with mice. Using this translational platform, we demonstrated that amyloid-β pathology recapitulates an Alzheimer-like profile of biomarker abnormalities even in the absence of other hallmarks of the disease such as neurofibrillary tangles and widespread neuronal losses. |
format | Online Article Text |
id | pubmed-5729194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-57291942017-12-21 Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities Parent, Maxime J. Zimmer, Eduardo R. Shin, Monica Kang, Min Su Fonov, Vladimir S. Mathieu, Axel Aliaga, Antonio Kostikov, Alexey Do Carmo, Sonia Dea, Doris Poirier, Judes Soucy, Jean-Paul Gauthier, Serge Cuello, A. Claudio Rosa-Neto, Pedro J Neurosci Research Articles Imaging biomarkers are frequently proposed as endpoints for clinical trials targeting brain amyloidosis in Alzheimer's disease (AD); however, the specific impact of amyloid-β (Aβ) aggregation on biomarker abnormalities remains elusive in AD. Using the McGill-R-Thy1-APP transgenic rat as a model of selective Aβ pathology, we characterized the longitudinal progression of abnormalities in biomarkers commonly used in AD research. Middle-aged (9–11 months) transgenic animals (both male and female) displayed mild spatial memory impairments and disrupted cingulate network connectivity measured by resting-state fMRI, even in the absence of hypometabolism (measured with PET [(18)F]FDG) or detectable fibrillary amyloidosis (measured with PET [(18)F]NAV4694). At more advanced ages (16–19 months), cognitive deficits progressed in conjunction with resting connectivity abnormalities; furthermore, hypometabolism, Aβ plaque accumulation, reduction of CSF Aβ(1-42) concentrations, and hippocampal atrophy (structural MRI) were detectable at this stage. The present results emphasize the early impact of Aβ on brain connectivity and support a framework in which persistent Aβ aggregation itself is sufficient to impose memory circuits dysfunction, which propagates to adjacent brain networks at later stages. SIGNIFICANCE STATEMENT The present study proposes a “back translation” of the Alzheimer pathological cascade concept from human to animals. We used the same set of Alzheimer imaging biomarkers typically used in large human cohorts and assessed their progression over time in a transgenic rat model, which allows for a finer spatial resolution not attainable with mice. Using this translational platform, we demonstrated that amyloid-β pathology recapitulates an Alzheimer-like profile of biomarker abnormalities even in the absence of other hallmarks of the disease such as neurofibrillary tangles and widespread neuronal losses. Society for Neuroscience 2017-12-13 /pmc/articles/PMC5729194/ /pubmed/29097597 http://dx.doi.org/10.1523/JNEUROSCI.1346-17.2017 Text en Copyright © 2017 Parent et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Articles Parent, Maxime J. Zimmer, Eduardo R. Shin, Monica Kang, Min Su Fonov, Vladimir S. Mathieu, Axel Aliaga, Antonio Kostikov, Alexey Do Carmo, Sonia Dea, Doris Poirier, Judes Soucy, Jean-Paul Gauthier, Serge Cuello, A. Claudio Rosa-Neto, Pedro Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title | Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title_full | Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title_fullStr | Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title_full_unstemmed | Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title_short | Multimodal Imaging in Rat Model Recapitulates Alzheimer's Disease Biomarkers Abnormalities |
title_sort | multimodal imaging in rat model recapitulates alzheimer's disease biomarkers abnormalities |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729194/ https://www.ncbi.nlm.nih.gov/pubmed/29097597 http://dx.doi.org/10.1523/JNEUROSCI.1346-17.2017 |
work_keys_str_mv | AT parentmaximej multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT zimmereduardor multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT shinmonica multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT kangminsu multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT fonovvladimirs multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT mathieuaxel multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT aliagaantonio multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT kostikovalexey multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT docarmosonia multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT deadoris multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT poirierjudes multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT soucyjeanpaul multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT gauthierserge multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT cuelloaclaudio multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities AT rosanetopedro multimodalimaginginratmodelrecapitulatesalzheimersdiseasebiomarkersabnormalities |