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Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease

Animal models of disease are valuable resources for investigating pathogenic mechanisms and potential therapeutic interventions. However, for complex disorders such as Alzheimer’s disease (AD), the generation and availability of innumerous distinct animal models present unique challenges to AD resea...

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Autores principales: Javonillo, Dominic I., Tran, Kristine M., Phan, Jimmy, Hingco, Edna, Kramár, Enikö A., da Cunha, Celia, Forner, Stefania, Kawauchi, Shimako, Milinkeviciute, Giedre, Gomez-Arboledas, Angela, Neumann, Jonathan, Banh, Crystal E., Huynh, Michelle, Matheos, Dina P., Rezaie, Narges, Alcantara, Joshua A., Mortazavi, Ali, Wood, Marcelo A., Tenner, Andrea J., MacGregor, Grant R., Green, Kim N., LaFerla, Frank M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818877/
https://www.ncbi.nlm.nih.gov/pubmed/35140584
http://dx.doi.org/10.3389/fnins.2021.785276
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author Javonillo, Dominic I.
Tran, Kristine M.
Phan, Jimmy
Hingco, Edna
Kramár, Enikö A.
da Cunha, Celia
Forner, Stefania
Kawauchi, Shimako
Milinkeviciute, Giedre
Gomez-Arboledas, Angela
Neumann, Jonathan
Banh, Crystal E.
Huynh, Michelle
Matheos, Dina P.
Rezaie, Narges
Alcantara, Joshua A.
Mortazavi, Ali
Wood, Marcelo A.
Tenner, Andrea J.
MacGregor, Grant R.
Green, Kim N.
LaFerla, Frank M.
author_facet Javonillo, Dominic I.
Tran, Kristine M.
Phan, Jimmy
Hingco, Edna
Kramár, Enikö A.
da Cunha, Celia
Forner, Stefania
Kawauchi, Shimako
Milinkeviciute, Giedre
Gomez-Arboledas, Angela
Neumann, Jonathan
Banh, Crystal E.
Huynh, Michelle
Matheos, Dina P.
Rezaie, Narges
Alcantara, Joshua A.
Mortazavi, Ali
Wood, Marcelo A.
Tenner, Andrea J.
MacGregor, Grant R.
Green, Kim N.
LaFerla, Frank M.
author_sort Javonillo, Dominic I.
collection PubMed
description Animal models of disease are valuable resources for investigating pathogenic mechanisms and potential therapeutic interventions. However, for complex disorders such as Alzheimer’s disease (AD), the generation and availability of innumerous distinct animal models present unique challenges to AD researchers and hinder the success of useful therapies. Here, we conducted an in-depth analysis of the 3xTg-AD mouse model of AD across its lifespan to better inform the field of the various pathologies that appear at specific ages, and comment on drift that has occurred in the development of pathology in this line since its development 20 years ago. This modern characterization of the 3xTg-AD model includes an assessment of impairments in long-term potentiation followed by quantification of amyloid beta (Aβ) plaque burden and neurofibrillary tau tangles, biochemical levels of Aβ and tau protein, and neuropathological markers such as gliosis and accumulation of dystrophic neurites. We also present a novel comparison of the 3xTg-AD model with the 5xFAD model using the same deep-phenotyping characterization pipeline and show plasma NfL is strongly driven by plaque burden. The results from these analyses are freely available via the AD Knowledge Portal (https://modeladexplorer.org/). Our work demonstrates the utility of a characterization pipeline that generates robust and standardized information relevant to investigating and comparing disease etiologies of current and future models of AD.
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spelling pubmed-88188772022-02-08 Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease Javonillo, Dominic I. Tran, Kristine M. Phan, Jimmy Hingco, Edna Kramár, Enikö A. da Cunha, Celia Forner, Stefania Kawauchi, Shimako Milinkeviciute, Giedre Gomez-Arboledas, Angela Neumann, Jonathan Banh, Crystal E. Huynh, Michelle Matheos, Dina P. Rezaie, Narges Alcantara, Joshua A. Mortazavi, Ali Wood, Marcelo A. Tenner, Andrea J. MacGregor, Grant R. Green, Kim N. LaFerla, Frank M. Front Neurosci Neuroscience Animal models of disease are valuable resources for investigating pathogenic mechanisms and potential therapeutic interventions. However, for complex disorders such as Alzheimer’s disease (AD), the generation and availability of innumerous distinct animal models present unique challenges to AD researchers and hinder the success of useful therapies. Here, we conducted an in-depth analysis of the 3xTg-AD mouse model of AD across its lifespan to better inform the field of the various pathologies that appear at specific ages, and comment on drift that has occurred in the development of pathology in this line since its development 20 years ago. This modern characterization of the 3xTg-AD model includes an assessment of impairments in long-term potentiation followed by quantification of amyloid beta (Aβ) plaque burden and neurofibrillary tau tangles, biochemical levels of Aβ and tau protein, and neuropathological markers such as gliosis and accumulation of dystrophic neurites. We also present a novel comparison of the 3xTg-AD model with the 5xFAD model using the same deep-phenotyping characterization pipeline and show plasma NfL is strongly driven by plaque burden. The results from these analyses are freely available via the AD Knowledge Portal (https://modeladexplorer.org/). Our work demonstrates the utility of a characterization pipeline that generates robust and standardized information relevant to investigating and comparing disease etiologies of current and future models of AD. Frontiers Media S.A. 2022-01-24 /pmc/articles/PMC8818877/ /pubmed/35140584 http://dx.doi.org/10.3389/fnins.2021.785276 Text en Copyright © 2022 Javonillo, Tran, Phan, Hingco, Kramár, da Cunha, Forner, Kawauchi, Milinkeviciute, Gomez-Arboledas, Neumann, Banh, Huynh, Matheos, Rezaie, Alcantara, Mortazavi, Wood, Tenner, MacGregor, Green and LaFerla. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Javonillo, Dominic I.
Tran, Kristine M.
Phan, Jimmy
Hingco, Edna
Kramár, Enikö A.
da Cunha, Celia
Forner, Stefania
Kawauchi, Shimako
Milinkeviciute, Giedre
Gomez-Arboledas, Angela
Neumann, Jonathan
Banh, Crystal E.
Huynh, Michelle
Matheos, Dina P.
Rezaie, Narges
Alcantara, Joshua A.
Mortazavi, Ali
Wood, Marcelo A.
Tenner, Andrea J.
MacGregor, Grant R.
Green, Kim N.
LaFerla, Frank M.
Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title_full Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title_fullStr Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title_full_unstemmed Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title_short Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease
title_sort systematic phenotyping and characterization of the 3xtg-ad mouse model of alzheimer’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818877/
https://www.ncbi.nlm.nih.gov/pubmed/35140584
http://dx.doi.org/10.3389/fnins.2021.785276
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