Genetic variants associated with neurodegenerative Alzheimer disease in natural models

The use of transgenic models for the study of neurodegenerative diseases has made valuable contributions to the field. However, some important limitations, including protein overexpression and general systemic compensation for the missing genes, has caused researchers to seek natural models that sho...

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Autores principales: Salazar, Claudia, Valdivia, Gonzalo, Ardiles, Álvaro O., Ewer, John, Palacios, Adrián G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769573/
https://www.ncbi.nlm.nih.gov/pubmed/26919851
http://dx.doi.org/10.1186/s40659-016-0072-9
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author Salazar, Claudia
Valdivia, Gonzalo
Ardiles, Álvaro O.
Ewer, John
Palacios, Adrián G.
author_facet Salazar, Claudia
Valdivia, Gonzalo
Ardiles, Álvaro O.
Ewer, John
Palacios, Adrián G.
author_sort Salazar, Claudia
collection PubMed
description The use of transgenic models for the study of neurodegenerative diseases has made valuable contributions to the field. However, some important limitations, including protein overexpression and general systemic compensation for the missing genes, has caused researchers to seek natural models that show the main biomarkers of neurodegenerative diseases during aging. Here we review some of these models—most of them rodents, focusing especially on the genetic variations in biomarkers for Alzheimer diseases, in order to explain their relationships with variants associated with the occurrence of the disease in humans.
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spelling pubmed-47695732016-02-28 Genetic variants associated with neurodegenerative Alzheimer disease in natural models Salazar, Claudia Valdivia, Gonzalo Ardiles, Álvaro O. Ewer, John Palacios, Adrián G. Biol Res Review The use of transgenic models for the study of neurodegenerative diseases has made valuable contributions to the field. However, some important limitations, including protein overexpression and general systemic compensation for the missing genes, has caused researchers to seek natural models that show the main biomarkers of neurodegenerative diseases during aging. Here we review some of these models—most of them rodents, focusing especially on the genetic variations in biomarkers for Alzheimer diseases, in order to explain their relationships with variants associated with the occurrence of the disease in humans. BioMed Central 2016-02-26 /pmc/articles/PMC4769573/ /pubmed/26919851 http://dx.doi.org/10.1186/s40659-016-0072-9 Text en © Salazar et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Salazar, Claudia
Valdivia, Gonzalo
Ardiles, Álvaro O.
Ewer, John
Palacios, Adrián G.
Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title_full Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title_fullStr Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title_full_unstemmed Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title_short Genetic variants associated with neurodegenerative Alzheimer disease in natural models
title_sort genetic variants associated with neurodegenerative alzheimer disease in natural models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769573/
https://www.ncbi.nlm.nih.gov/pubmed/26919851
http://dx.doi.org/10.1186/s40659-016-0072-9
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