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Mouse Models as Predictors of Human Responses: Evolutionary Medicine

Mice offer a number of advantages and are extensively used to model human diseases and drug responses. Selective breeding and genetic manipulation of mice have made many different genotypes and phenotypes available for research. However, in many cases, mouse models have failed to be predictive. Impo...

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Detalles Bibliográficos
Autores principales: Uhl, Elizabeth W., Warner, Natalie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522464/
https://www.ncbi.nlm.nih.gov/pubmed/26246962
http://dx.doi.org/10.1007/s40139-015-0086-y
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author Uhl, Elizabeth W.
Warner, Natalie J.
author_facet Uhl, Elizabeth W.
Warner, Natalie J.
author_sort Uhl, Elizabeth W.
collection PubMed
description Mice offer a number of advantages and are extensively used to model human diseases and drug responses. Selective breeding and genetic manipulation of mice have made many different genotypes and phenotypes available for research. However, in many cases, mouse models have failed to be predictive. Important sources of the prediction problem have been the failure to consider the evolutionary basis for species differences, especially in drug metabolism, and disease definitions that do not reflect the complexity of gene expression underlying disease phenotypes. Incorporating evolutionary insights into mouse models allow for unique opportunities to characterize the effects of diet, different gene expression profiles, and microbiomics underlying human drug responses and disease phenotypes.
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spelling pubmed-45224642015-08-03 Mouse Models as Predictors of Human Responses: Evolutionary Medicine Uhl, Elizabeth W. Warner, Natalie J. Curr Pathobiol Rep Mouse Models of Human Disease(Elizabeth Galbreath and Brad Bolon, Section Editors) Mice offer a number of advantages and are extensively used to model human diseases and drug responses. Selective breeding and genetic manipulation of mice have made many different genotypes and phenotypes available for research. However, in many cases, mouse models have failed to be predictive. Important sources of the prediction problem have been the failure to consider the evolutionary basis for species differences, especially in drug metabolism, and disease definitions that do not reflect the complexity of gene expression underlying disease phenotypes. Incorporating evolutionary insights into mouse models allow for unique opportunities to characterize the effects of diet, different gene expression profiles, and microbiomics underlying human drug responses and disease phenotypes. Springer US 2015-07-08 2015 /pmc/articles/PMC4522464/ /pubmed/26246962 http://dx.doi.org/10.1007/s40139-015-0086-y Text en © The Author(s) 2015 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.
spellingShingle Mouse Models of Human Disease(Elizabeth Galbreath and Brad Bolon, Section Editors)
Uhl, Elizabeth W.
Warner, Natalie J.
Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title_full Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title_fullStr Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title_full_unstemmed Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title_short Mouse Models as Predictors of Human Responses: Evolutionary Medicine
title_sort mouse models as predictors of human responses: evolutionary medicine
topic Mouse Models of Human Disease(Elizabeth Galbreath and Brad Bolon, Section Editors)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522464/
https://www.ncbi.nlm.nih.gov/pubmed/26246962
http://dx.doi.org/10.1007/s40139-015-0086-y
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