Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment.
Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment.
复制标题
大型动物神经系统疾病建模：模型选择和临床评估标准。
作者：
问题：神经系统疾病的影响得到了全球的认可，每六个人中就有一个人在一生中受到影响，几乎没有治疗方法来减缓或阻止疾病的进展。这在一定程度上是由于日益老龄化的人口，而且从啮齿动物衍生的疗法转化为临床有效的人类神经干预措施的失败率很高，这让人困惑。使用具有更复杂/可比较的神经解剖学的更高级哺乳动物证明了改进的翻译。这些动物有效地跨越了这种翻译差异，并增加了对包括给药/剂量途径和规模能力在内的因素的信心，从而使潜在的治疗方法在转移到患者身上时将取得成功的结果。再加上基因工程的进步，以生产基因定制的模型，牲畜正越来越多地被用来弥合这一翻译差距。方法：为了帮助标准化这类模型的特征，我们提供了全面的神经学评估规程，旨在为大型动物物种提供神经解剖功能障碍和/或损害的信息(S)。我们还描述了这些考试在不同大型动物中的适用性，以帮助更好地理解跨物种神经疾病建模的实用性。建议：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学临床评分。
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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影响因子：
3.2
作者：
Burrells, Alison;Taroda, Alessandra;Katzer, Frank
通讯作者：
Katzer, Frank
影响因子：
2.5
作者：
BATESON, P
通讯作者：
BATESON, P
DOI：
10.1016/j.cvfa.2004.02.011
发表时间：
2004-07-01
影响因子：
4.1
作者：
Constable, PD
通讯作者：
Constable, PD
影响因子：
1.8
作者：
Crowley ST;Kataoka K;Itaka K
通讯作者：
Itaka K
弥合差距：神经退行性研究中的大动物模型。
DOI：
10.1007/s00335-017-9687-6
发表时间：
2017-08
期刊：
Mammalian genome : official journal of the International Mammalian Genome Society
影响因子：
--
作者：
Eaton SL;Wishart TM
通讯作者：
Wishart TM