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Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation

Classical laboratory strains show limited genetic diversity and do not harness natural genetic variation. Mouse models relevant to Alzheimer’s disease (AD) have largely been developed using these classical laboratory strains, such as C57BL/6J (B6), and this has likely contributed to the failure of t...

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Autores principales: Onos, Kristen D., Uyar, Asli, Keezer, Kelly J., Jackson, Harriet M., Preuss, Christoph, Acklin, Casey J., O’Rourke, Rita, Buchanan, Rebecca, Cossette, Travis L., Sukoff Rizzo, Stacey J., Soto, Ileana, Carter, Gregory W., Howell, Gareth R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6576791/
https://www.ncbi.nlm.nih.gov/pubmed/31150388
http://dx.doi.org/10.1371/journal.pgen.1008155
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author Onos, Kristen D.
Uyar, Asli
Keezer, Kelly J.
Jackson, Harriet M.
Preuss, Christoph
Acklin, Casey J.
O’Rourke, Rita
Buchanan, Rebecca
Cossette, Travis L.
Sukoff Rizzo, Stacey J.
Soto, Ileana
Carter, Gregory W.
Howell, Gareth R.
author_facet Onos, Kristen D.
Uyar, Asli
Keezer, Kelly J.
Jackson, Harriet M.
Preuss, Christoph
Acklin, Casey J.
O’Rourke, Rita
Buchanan, Rebecca
Cossette, Travis L.
Sukoff Rizzo, Stacey J.
Soto, Ileana
Carter, Gregory W.
Howell, Gareth R.
author_sort Onos, Kristen D.
collection PubMed
description Classical laboratory strains show limited genetic diversity and do not harness natural genetic variation. Mouse models relevant to Alzheimer’s disease (AD) have largely been developed using these classical laboratory strains, such as C57BL/6J (B6), and this has likely contributed to the failure of translation of findings from mice to the clinic. Therefore, here we test the potential for natural genetic variation to enhance the translatability of AD mouse models. Two widely used AD-relevant transgenes, APP(swe) and PS1(de9) (APP/PS1), were backcrossed from B6 to three wild-derived strains CAST/EiJ, WSB/EiJ, PWK/PhJ, representative of three Mus musculus subspecies. These new AD strains were characterized using metabolic, functional, neuropathological and transcriptional assays. Strain-, sex- and genotype-specific differences were observed in cognitive ability, neurodegeneration, plaque load, cerebrovascular health and cerebral amyloid angiopathy. Analyses of brain transcriptional data showed strain was the greatest driver of variation. We identified significant variation in myeloid cell numbers in wild type mice of different strains as well as significant differences in plaque-associated myeloid responses in APP/PS1 mice between the strains. Collectively, these data support the use of wild-derived strains to better model the complexity of human AD.
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spelling pubmed-65767912019-06-28 Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation Onos, Kristen D. Uyar, Asli Keezer, Kelly J. Jackson, Harriet M. Preuss, Christoph Acklin, Casey J. O’Rourke, Rita Buchanan, Rebecca Cossette, Travis L. Sukoff Rizzo, Stacey J. Soto, Ileana Carter, Gregory W. Howell, Gareth R. PLoS Genet Research Article Classical laboratory strains show limited genetic diversity and do not harness natural genetic variation. Mouse models relevant to Alzheimer’s disease (AD) have largely been developed using these classical laboratory strains, such as C57BL/6J (B6), and this has likely contributed to the failure of translation of findings from mice to the clinic. Therefore, here we test the potential for natural genetic variation to enhance the translatability of AD mouse models. Two widely used AD-relevant transgenes, APP(swe) and PS1(de9) (APP/PS1), were backcrossed from B6 to three wild-derived strains CAST/EiJ, WSB/EiJ, PWK/PhJ, representative of three Mus musculus subspecies. These new AD strains were characterized using metabolic, functional, neuropathological and transcriptional assays. Strain-, sex- and genotype-specific differences were observed in cognitive ability, neurodegeneration, plaque load, cerebrovascular health and cerebral amyloid angiopathy. Analyses of brain transcriptional data showed strain was the greatest driver of variation. We identified significant variation in myeloid cell numbers in wild type mice of different strains as well as significant differences in plaque-associated myeloid responses in APP/PS1 mice between the strains. Collectively, these data support the use of wild-derived strains to better model the complexity of human AD. Public Library of Science 2019-05-31 /pmc/articles/PMC6576791/ /pubmed/31150388 http://dx.doi.org/10.1371/journal.pgen.1008155 Text en © 2019 Onos 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Onos, Kristen D.
Uyar, Asli
Keezer, Kelly J.
Jackson, Harriet M.
Preuss, Christoph
Acklin, Casey J.
O’Rourke, Rita
Buchanan, Rebecca
Cossette, Travis L.
Sukoff Rizzo, Stacey J.
Soto, Ileana
Carter, Gregory W.
Howell, Gareth R.
Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title_full Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title_fullStr Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title_full_unstemmed Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title_short Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation
title_sort enhancing face validity of mouse models of alzheimer’s disease with natural genetic variation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6576791/
https://www.ncbi.nlm.nih.gov/pubmed/31150388
http://dx.doi.org/10.1371/journal.pgen.1008155
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