Cargando…

Modeling Alzheimer’s disease in progeria mice. An age-related concept

The prevalence of Alzheimer’s disease (AD) is expected to dramatically increase in older people worldwide. Efforts to find disease-modifying treatments have been largely unsuccessful because of the focus on disease-specific pathogenesis, and lack of animal models to study AD in the context of aging...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharma, Kavita, Darvas, Martin, Keene, C. Dirk, Niedernhofer, Laura J., Ladiges, Warren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179061/
https://www.ncbi.nlm.nih.gov/pubmed/30319737
http://dx.doi.org/10.1080/20010001.2018.1524815
_version_ 1783362036067991552
author Sharma, Kavita
Darvas, Martin
Keene, C. Dirk
Niedernhofer, Laura J.
Ladiges, Warren
author_facet Sharma, Kavita
Darvas, Martin
Keene, C. Dirk
Niedernhofer, Laura J.
Ladiges, Warren
author_sort Sharma, Kavita
collection PubMed
description The prevalence of Alzheimer’s disease (AD) is expected to dramatically increase in older people worldwide. Efforts to find disease-modifying treatments have been largely unsuccessful because of the focus on disease-specific pathogenesis, and lack of animal models to study AD in the context of aging and age-related co-morbidities. The geroscience approach to studying AD would suggest that modulation of aging per se would be a useful strategy, but a mammalian model system that combines both aging and AD is not available. One approach to study old age and AD is to utilize murine models of progeroid syndrome, which can provide a number of advantages not only for basic aging biology but also for preclinical drug testing. A progeria background, such as the Ercc1 mutant mouse (Ercc1(−/Δ)), provides an aging component not seen in current murine models of AD that lack age-related co-morbidities typical of AD patients. Ercc1(−/Δ) mice experience the same types of stochastic endogenous DNA damage as WT mice, but accumulate lesions faster due to impaired DNA repair, which accelerates the normal aging process by 6-fold. These mice do not show frank AD pathology but represent a predisposed or hypersensitive environment for AD pathology, where pathogenic elements of AD can be introduced, either by crossing with well-established AD transgenic mouse lines, or transcranial stereotaxic delivery directly into the brain. Since Ercc1(−/Δ) mice age five to six times faster than WT mice, very rapid characterization and testing of therapeutic interventions is possible. Studies are urgently needed to capitalize on the highly informative potential of this novel AD mouse model.
format Online
Article
Text
id pubmed-6179061
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-61790612018-10-12 Modeling Alzheimer’s disease in progeria mice. An age-related concept Sharma, Kavita Darvas, Martin Keene, C. Dirk Niedernhofer, Laura J. Ladiges, Warren Pathobiol Aging Age Relat Dis Article The prevalence of Alzheimer’s disease (AD) is expected to dramatically increase in older people worldwide. Efforts to find disease-modifying treatments have been largely unsuccessful because of the focus on disease-specific pathogenesis, and lack of animal models to study AD in the context of aging and age-related co-morbidities. The geroscience approach to studying AD would suggest that modulation of aging per se would be a useful strategy, but a mammalian model system that combines both aging and AD is not available. One approach to study old age and AD is to utilize murine models of progeroid syndrome, which can provide a number of advantages not only for basic aging biology but also for preclinical drug testing. A progeria background, such as the Ercc1 mutant mouse (Ercc1(−/Δ)), provides an aging component not seen in current murine models of AD that lack age-related co-morbidities typical of AD patients. Ercc1(−/Δ) mice experience the same types of stochastic endogenous DNA damage as WT mice, but accumulate lesions faster due to impaired DNA repair, which accelerates the normal aging process by 6-fold. These mice do not show frank AD pathology but represent a predisposed or hypersensitive environment for AD pathology, where pathogenic elements of AD can be introduced, either by crossing with well-established AD transgenic mouse lines, or transcranial stereotaxic delivery directly into the brain. Since Ercc1(−/Δ) mice age five to six times faster than WT mice, very rapid characterization and testing of therapeutic interventions is possible. Studies are urgently needed to capitalize on the highly informative potential of this novel AD mouse model. Taylor & Francis 2018-10-04 /pmc/articles/PMC6179061/ /pubmed/30319737 http://dx.doi.org/10.1080/20010001.2018.1524815 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 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 work is properly cited.
spellingShingle Article
Sharma, Kavita
Darvas, Martin
Keene, C. Dirk
Niedernhofer, Laura J.
Ladiges, Warren
Modeling Alzheimer’s disease in progeria mice. An age-related concept
title Modeling Alzheimer’s disease in progeria mice. An age-related concept
title_full Modeling Alzheimer’s disease in progeria mice. An age-related concept
title_fullStr Modeling Alzheimer’s disease in progeria mice. An age-related concept
title_full_unstemmed Modeling Alzheimer’s disease in progeria mice. An age-related concept
title_short Modeling Alzheimer’s disease in progeria mice. An age-related concept
title_sort modeling alzheimer’s disease in progeria mice. an age-related concept
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179061/
https://www.ncbi.nlm.nih.gov/pubmed/30319737
http://dx.doi.org/10.1080/20010001.2018.1524815
work_keys_str_mv AT sharmakavita modelingalzheimersdiseaseinprogeriamiceanagerelatedconcept
AT darvasmartin modelingalzheimersdiseaseinprogeriamiceanagerelatedconcept
AT keenecdirk modelingalzheimersdiseaseinprogeriamiceanagerelatedconcept
AT niedernhoferlauraj modelingalzheimersdiseaseinprogeriamiceanagerelatedconcept
AT ladigeswarren modelingalzheimersdiseaseinprogeriamiceanagerelatedconcept