Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, Midlothian EH25 9RG, UK.
Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Cells. 2022 Aug 25;11(17):2641. doi: 10.3390/cells11172641.
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. 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. We would encourage the use of these assessments as a reference framework to help standardise neurological clinical scoring of large animal models.
神经疾病的影响在全球范围内得到认可,六分之一的人在其一生中受到影响,而且几乎没有治疗方法可以减缓或阻止疾病的进展。部分原因是人口老龄化的增加,而从啮齿动物衍生的治疗方法到临床有效的人类神经干预的转化成功率低,使得情况更加复杂。使用具有更复杂/相似神经解剖结构的高级哺乳动物可以提高翻译的准确性。这些动物有效地跨越了这种翻译差距,并增加了对给药途径/剂量和缩放能力等因素的信心,使得潜在的治疗方法在转移到患者时会取得成功。加上基因工程的进步,以产生基因定制的模型,牲畜越来越多地被用于弥合这种翻译差距。为了帮助标准化此类模型的特征描述,我们提供了全面的神经评估方案,旨在为大型动物物种提供神经解剖功能障碍和/或病变的信息。我们还描述了这些检查在不同大型动物中的适用性,以帮助更好地了解跨物种神经疾病建模的实际情况。我们鼓励使用这些评估作为参考框架,以帮助标准化大型动物模型的神经临床评分。