Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment
<i>Issue:</i> 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 tran...
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MDPI AG
2022-08-01
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author | Samantha L. Eaton Fraser Murdoch Nina M. Rzechorzek Gerard Thompson Claudia Hartley Benjamin Thomas Blacklock Chris Proudfoot Simon G. Lillico Peter Tennant Adrian Ritchie James Nixon Paul M. Brennan Stefano Guido Nadia L. Mitchell David N. Palmer C. Bruce A. Whitelaw Jonathan D. Cooper Thomas M. Wishart |
author_facet | Samantha L. Eaton Fraser Murdoch Nina M. Rzechorzek Gerard Thompson Claudia Hartley Benjamin Thomas Blacklock Chris Proudfoot Simon G. Lillico Peter Tennant Adrian Ritchie James Nixon Paul M. Brennan Stefano Guido Nadia L. Mitchell David N. Palmer C. Bruce A. Whitelaw Jonathan D. Cooper Thomas M. Wishart |
author_sort | Samantha L. Eaton |
collection | DOAJ |
description | <i>Issue:</i> 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. <i>Approach:</i> 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. <i>Recommendation:</i> 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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issn | 2073-4409 |
language | English |
last_indexed | 2024-03-10T01:57:26Z |
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spelling | doaj.art-f845c8ece4d54008a0fb30760828a4162023-11-23T12:54:26ZengMDPI AGCells2073-44092022-08-011117264110.3390/cells11172641Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical AssessmentSamantha L. Eaton0Fraser Murdoch1Nina M. Rzechorzek2Gerard Thompson3Claudia Hartley4Benjamin Thomas Blacklock5Chris Proudfoot6Simon G. Lillico7Peter Tennant8Adrian Ritchie9James Nixon10Paul M. Brennan11Stefano Guido12Nadia L. Mitchell13David N. Palmer14C. Bruce A. Whitelaw15Jonathan D. Cooper16Thomas M. Wishart17Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UKCentre for Clinical Brain Sciences, University of Edinburgh, Chancellor’s Building, 49 Little France Crescent, Edinburgh EH16 4SB, UKRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKThe Large Animal Research & Imaging Facility, Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKThe Large Animal Research & Imaging Facility, Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKThe Large Animal Research & Imaging Facility, Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKThe Large Animal Research & Imaging Facility, Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKTranslational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UKRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKFaculty of Agriculture and Life Sciences, Lincoln University, P.O. Box 85084, Lincoln 7647, New ZealandFaculty of Agriculture and Life Sciences, Lincoln University, P.O. Box 85084, Lincoln 7647, New ZealandRoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UKDepartments of Pediatrics, Genetics, and Neurology, Washington University School of Medicine in St. Louis, 660 S Euclid Ave, St. Louis, MO 63110, USARoyal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UK<i>Issue:</i> 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. <i>Approach:</i> 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. <i>Recommendation:</i> We would encourage the use of these assessments as a reference framework to help standardise neurological clinical scoring of large animal models.https://www.mdpi.com/2073-4409/11/17/2641neurological diseaselarge animal modelclinical assessmentmodel selection criteria |
spellingShingle | Samantha L. Eaton Fraser Murdoch Nina M. Rzechorzek Gerard Thompson Claudia Hartley Benjamin Thomas Blacklock Chris Proudfoot Simon G. Lillico Peter Tennant Adrian Ritchie James Nixon Paul M. Brennan Stefano Guido Nadia L. Mitchell David N. Palmer C. Bruce A. Whitelaw Jonathan D. Cooper Thomas M. Wishart Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment Cells neurological disease large animal model clinical assessment model selection criteria |
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 | neurological disease large animal model clinical assessment model selection criteria |
url | https://www.mdpi.com/2073-4409/11/17/2641 |
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