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Does age matter? The impact of rodent age on study outcomes

Rodent models produce data which underpin biomedical research and non-clinical drug trials, but translation from rodents into successful clinical outcomes is often lacking. There is a growing body of evidence showing that improving experimental design is key to improving the predictive nature of rod...

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Autores principales: Jackson, Samuel J, Andrews, Nick, Ball, Doug, Bellantuono, Ilaria, Gray, James, Hachoumi, Lamia, Holmes, Alan, Latcham, Judy, Petrie, Anja, Potter, Paul, Rice, Andrew, Ritchie, Alison, Stewart, Michelle, Strepka, Carol, Yeoman, Mark, Chapman, Kathryn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367550/
https://www.ncbi.nlm.nih.gov/pubmed/27307423
http://dx.doi.org/10.1177/0023677216653984
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author Jackson, Samuel J
Andrews, Nick
Ball, Doug
Bellantuono, Ilaria
Gray, James
Hachoumi, Lamia
Holmes, Alan
Latcham, Judy
Petrie, Anja
Potter, Paul
Rice, Andrew
Ritchie, Alison
Stewart, Michelle
Strepka, Carol
Yeoman, Mark
Chapman, Kathryn
author_facet Jackson, Samuel J
Andrews, Nick
Ball, Doug
Bellantuono, Ilaria
Gray, James
Hachoumi, Lamia
Holmes, Alan
Latcham, Judy
Petrie, Anja
Potter, Paul
Rice, Andrew
Ritchie, Alison
Stewart, Michelle
Strepka, Carol
Yeoman, Mark
Chapman, Kathryn
author_sort Jackson, Samuel J
collection PubMed
description Rodent models produce data which underpin biomedical research and non-clinical drug trials, but translation from rodents into successful clinical outcomes is often lacking. There is a growing body of evidence showing that improving experimental design is key to improving the predictive nature of rodent studies and reducing the number of animals used in research. Age, one important factor in experimental design, is often poorly reported and can be overlooked. The authors conducted a survey to assess the age used for a range of models, and the reasoning for age choice. From 297 respondents providing 611 responses, researchers reported using rodents most often in the 6–20 week age range regardless of the biology being studied. The age referred to as ‘adult’ by respondents varied between six and 20 weeks. Practical reasons for the choice of rodent age were frequently given, with increased cost associated with using older animals and maintenance of historical data comparability being two important limiting factors. These results highlight that choice of age is inconsistent across the research community and often not based on the development or cellular ageing of the system being studied. This could potentially result in decreased scientific validity and increased experimental variability. In some cases the use of older animals may be beneficial. Increased scientific rigour in the choice of the age of rodent may increase the translation of rodent models to humans.
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spelling pubmed-53675502017-03-30 Does age matter? The impact of rodent age on study outcomes Jackson, Samuel J Andrews, Nick Ball, Doug Bellantuono, Ilaria Gray, James Hachoumi, Lamia Holmes, Alan Latcham, Judy Petrie, Anja Potter, Paul Rice, Andrew Ritchie, Alison Stewart, Michelle Strepka, Carol Yeoman, Mark Chapman, Kathryn Lab Anim Original Articles Rodent models produce data which underpin biomedical research and non-clinical drug trials, but translation from rodents into successful clinical outcomes is often lacking. There is a growing body of evidence showing that improving experimental design is key to improving the predictive nature of rodent studies and reducing the number of animals used in research. Age, one important factor in experimental design, is often poorly reported and can be overlooked. The authors conducted a survey to assess the age used for a range of models, and the reasoning for age choice. From 297 respondents providing 611 responses, researchers reported using rodents most often in the 6–20 week age range regardless of the biology being studied. The age referred to as ‘adult’ by respondents varied between six and 20 weeks. Practical reasons for the choice of rodent age were frequently given, with increased cost associated with using older animals and maintenance of historical data comparability being two important limiting factors. These results highlight that choice of age is inconsistent across the research community and often not based on the development or cellular ageing of the system being studied. This could potentially result in decreased scientific validity and increased experimental variability. In some cases the use of older animals may be beneficial. Increased scientific rigour in the choice of the age of rodent may increase the translation of rodent models to humans. SAGE Publications 2016-06-15 2017-04 /pmc/articles/PMC5367550/ /pubmed/27307423 http://dx.doi.org/10.1177/0023677216653984 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Jackson, Samuel J
Andrews, Nick
Ball, Doug
Bellantuono, Ilaria
Gray, James
Hachoumi, Lamia
Holmes, Alan
Latcham, Judy
Petrie, Anja
Potter, Paul
Rice, Andrew
Ritchie, Alison
Stewart, Michelle
Strepka, Carol
Yeoman, Mark
Chapman, Kathryn
Does age matter? The impact of rodent age on study outcomes
title Does age matter? The impact of rodent age on study outcomes
title_full Does age matter? The impact of rodent age on study outcomes
title_fullStr Does age matter? The impact of rodent age on study outcomes
title_full_unstemmed Does age matter? The impact of rodent age on study outcomes
title_short Does age matter? The impact of rodent age on study outcomes
title_sort does age matter? the impact of rodent age on study outcomes
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367550/
https://www.ncbi.nlm.nih.gov/pubmed/27307423
http://dx.doi.org/10.1177/0023677216653984
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