Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783427843555852288 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6576791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT onoskristend enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT uyarasli enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT keezerkellyj enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT jacksonharrietm enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT preusschristoph enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT acklincaseyj enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT orourkerita enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT buchananrebecca enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT cossettetravisl enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT sukoffrizzostaceyj enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT sotoileana enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT cartergregoryw enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation AT howellgarethr enhancingfacevalidityofmousemodelsofalzheimersdiseasewithnaturalgeneticvariation |