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Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment

Issue: The impact of neurological disorders is recognised globally, with one in six people affected in their lifetime and few treatments to slow or halt disease progression. This is due in part to the increasing ageing population, and is confounded by the high failure rate of translation from rodent...

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Autores principales: Eaton, Samantha L., Murdoch, Fraser, Rzechorzek, Nina M., Thompson, Gerard, Hartley, Claudia, Blacklock, Benjamin Thomas, Proudfoot, Chris, Lillico, Simon G., Tennant, Peter, Ritchie, Adrian, Nixon, James, Brennan, Paul M., Guido, Stefano, Mitchell, Nadia L., Palmer, David N., Whitelaw, C. Bruce A., Cooper, Jonathan D., Wishart, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454934/
https://www.ncbi.nlm.nih.gov/pubmed/36078049
http://dx.doi.org/10.3390/cells11172641
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author Eaton, Samantha L.
Murdoch, Fraser
Rzechorzek, Nina M.
Thompson, Gerard
Hartley, Claudia
Blacklock, Benjamin Thomas
Proudfoot, Chris
Lillico, Simon G.
Tennant, Peter
Ritchie, Adrian
Nixon, James
Brennan, Paul M.
Guido, Stefano
Mitchell, Nadia L.
Palmer, David N.
Whitelaw, C. Bruce A.
Cooper, Jonathan D.
Wishart, Thomas M.
author_facet Eaton, Samantha L.
Murdoch, Fraser
Rzechorzek, Nina M.
Thompson, Gerard
Hartley, Claudia
Blacklock, Benjamin Thomas
Proudfoot, Chris
Lillico, Simon G.
Tennant, Peter
Ritchie, Adrian
Nixon, James
Brennan, Paul M.
Guido, Stefano
Mitchell, Nadia L.
Palmer, David N.
Whitelaw, C. Bruce A.
Cooper, Jonathan D.
Wishart, Thomas M.
author_sort Eaton, Samantha L.
collection PubMed
description Issue: The impact of neurological disorders is recognised globally, with one in six people affected in their lifetime and few treatments to slow or halt disease progression. This is due in part to the increasing ageing population, and is confounded by the high failure rate of translation from rodent-derived therapeutics to clinically effective human neurological interventions. Improved translation is demonstrated using higher order mammals with more complex/comparable neuroanatomy. These animals effectually span this translational disparity and increase confidence in factors including routes of administration/dosing and ability to scale, such that potential therapeutics will have successful outcomes when moving to patients. Coupled with advancements in genetic engineering to produce genetically tailored models, livestock are increasingly being used to bridge this translational gap. Approach: In order to aid in standardising characterisation of such models, we provide comprehensive neurological assessment protocols designed to inform on neuroanatomical dysfunction and/or lesion(s) for large animal species. We also describe the applicability of these exams in different large animals to help provide a better understanding of the practicalities of cross species neurological disease modelling. Recommendation: We would encourage the use of these assessments as a reference framework to help standardise neurological clinical scoring of large animal models.
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spelling pubmed-94549342022-09-09 Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment Eaton, Samantha L. Murdoch, Fraser Rzechorzek, Nina M. Thompson, Gerard Hartley, Claudia Blacklock, Benjamin Thomas Proudfoot, Chris Lillico, Simon G. Tennant, Peter Ritchie, Adrian Nixon, James Brennan, Paul M. Guido, Stefano Mitchell, Nadia L. Palmer, David N. Whitelaw, C. Bruce A. Cooper, Jonathan D. Wishart, Thomas M. Cells Review Issue: The impact of neurological disorders is recognised globally, with one in six people affected in their lifetime and few treatments to slow or halt disease progression. This is due in part to the increasing ageing population, and is confounded by the high failure rate of translation from rodent-derived therapeutics to clinically effective human neurological interventions. Improved translation is demonstrated using higher order mammals with more complex/comparable neuroanatomy. These animals effectually span this translational disparity and increase confidence in factors including routes of administration/dosing and ability to scale, such that potential therapeutics will have successful outcomes when moving to patients. Coupled with advancements in genetic engineering to produce genetically tailored models, livestock are increasingly being used to bridge this translational gap. Approach: In order to aid in standardising characterisation of such models, we provide comprehensive neurological assessment protocols designed to inform on neuroanatomical dysfunction and/or lesion(s) for large animal species. We also describe the applicability of these exams in different large animals to help provide a better understanding of the practicalities of cross species neurological disease modelling. Recommendation: We would encourage the use of these assessments as a reference framework to help standardise neurological clinical scoring of large animal models. MDPI 2022-08-25 /pmc/articles/PMC9454934/ /pubmed/36078049 http://dx.doi.org/10.3390/cells11172641 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Eaton, Samantha L.
Murdoch, Fraser
Rzechorzek, Nina M.
Thompson, Gerard
Hartley, Claudia
Blacklock, Benjamin Thomas
Proudfoot, Chris
Lillico, Simon G.
Tennant, Peter
Ritchie, Adrian
Nixon, James
Brennan, Paul M.
Guido, Stefano
Mitchell, Nadia L.
Palmer, David N.
Whitelaw, C. Bruce A.
Cooper, Jonathan D.
Wishart, Thomas M.
Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title_full Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title_fullStr Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title_full_unstemmed Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title_short Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
title_sort modelling neurological diseases in large animals: criteria for model selection and clinical assessment
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454934/
https://www.ncbi.nlm.nih.gov/pubmed/36078049
http://dx.doi.org/10.3390/cells11172641
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