Eaton S L, Wishart T M
Roslin Institute and Royal (Dick) Veterinary studies, University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK.
Euan MacDonald Centre for MND Research, Chancellor's Building, 49 Little France, Edinburgh, EH16 4SB, UK.
Mamm Genome. 2017 Aug;28(7-8):324-337. doi: 10.1007/s00335-017-9687-6. Epub 2017 Apr 4.
The world health organisation has declared neurological disorders as one of the greatest public health risks in the world today. Yet, despite this growing concern, the mechanisms underpinning many of these conditions are still poorly understood. This may in part be due to the seemingly diverse nature of the initiating insults ranging from genetic (such as the Ataxia's and Lysosomal storage disorders) through to protein misfolding and aggregation (i.e. Prions), and those of a predominantly unknown aetiology (i.e. Alzheimer's and Parkinson's disease). However, efforts to elucidate mechanistic regulation are also likely to be hampered because of the complexity of the human nervous system, the apparent selective regional vulnerability and differential degenerative progression. The key to elucidating these aetiologies is determining the regional molecular cascades, which are occurring from the early through to terminal stages of disease progression. Whilst much molecular data have been captured at the end stage of disease from post-mortem analysis in humans, the very early stages of disease are often conspicuously asymptomatic, and even if they were not, repeated sampling from multiple brain regions of "affected" patients and "controls" is neither ethical nor possible. Model systems therefore become fundamental for elucidating the mechanisms governing these complex neurodegenerative conditions. However, finding a model that precisely mimics the human condition can be challenging and expensive. Whilst cellular and invertebrate models are frequently used in neurodegenerative research and have undoubtedly yielded much useful data, the comparatively simplistic nature of these systems makes insights gained from such a stand alone model limited when it comes to translation. Given the recent advances in gene editing technology, the options for novel model generation in higher order species have opened up new and exciting possibilities for the field. In this review, we therefore explain some of the reasons why larger animal models often appear to give a more robust recapitulation of human neurological disorders and why they may be a critical stepping stone for effective therapeutic translation.
世界卫生组织已宣布神经疾病是当今世界最大的公共卫生风险之一。然而,尽管人们对此日益关注,但许多此类疾病的潜在机制仍知之甚少。部分原因可能是引发损伤的性质看似多样,从遗传因素(如共济失调和溶酶体贮积症)到蛋白质错误折叠和聚集(即朊病毒),以及那些病因主要不明的疾病(如阿尔茨海默病和帕金森病)。然而,阐明机制调控的努力也可能因人类神经系统的复杂性、明显的选择性区域易损性和不同的退行性进展而受阻。阐明这些病因的关键在于确定从疾病进展的早期到终末期所发生的区域分子级联反应。虽然通过对人类尸体解剖分析在疾病末期已获取了大量分子数据,但疾病的早期阶段往往明显没有症状,即便有症状,从“患病”患者和“对照”的多个脑区重复取样既不符合伦理也不现实。因此,模型系统对于阐明这些复杂神经退行性疾病的机制至关重要。然而,找到一个能精确模拟人类病情的模型可能具有挑战性且成本高昂。虽然细胞和无脊椎动物模型在神经退行性研究中经常使用,并且无疑产生了许多有用的数据,但这些系统相对简单的性质使得从这样一个单独模型中获得的见解在转化应用方面受到限制。鉴于基因编辑技术的最新进展,在高等物种中生成新型模型的选择为该领域开辟了新的、令人兴奋的可能性。因此,在本综述中,我们解释了一些原因,说明为何大型动物模型往往能更有力地重现人类神经疾病,以及为何它们可能是有效治疗转化的关键垫脚石。