Zebrafish as an Alternative Animal Model of Huntington's Disease: Challenges and Future Directions.

IF 3.3 4区 医学 Q3 NEUROSCIENCES
Jiahao Cui, Zhili Yu, Zhike Fu, Vera Pushkina, Ekaterina Kozlova, Yixuan Pang, Yimeng Wang, Yubo Xiao, Murilo S de Abreu, Longen Yang, Valentina N Perfilova, Adam Michael Stewart, Allan V Kalueff
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引用次数: 0

Abstract

Huntington's disease (HD) is a lethal autosomal dominant neurodegenerative disorder characterized by progressing cognitive, motor, and other behavioral deficits. Animal models, especially rodent-based, are a valuable tool to study brain disorders, including HD. Given the existence of multiple valid and predictive models of HD and other brain disorders, we are now entering a phase of mechanistic discovery, as research shifts towards phenotype-based screening and multi-omic validation. In addition to rodent models, zebrafish (Danio rerio) are rapidly becoming a promising model organism for translational HD research. With considerable genetic homology to humans, embryonic transparency for real-time pathology tracking, physiological similarity to mammals, and high-throughput drug screening potential, zebrafish have become a valuable alternative model organism in translational HD research. Here, we discuss zebrafish HD models, their advantages and limitations, and future directions of translational research in this field.

斑马鱼作为亨廷顿舞蹈病的替代动物模型:挑战和未来方向。
亨廷顿舞蹈病(HD)是一种致命的常染色体显性神经退行性疾病,以进行性认知、运动和其他行为缺陷为特征。动物模型,特别是基于啮齿动物的模型,是研究包括HD在内的脑部疾病的宝贵工具。鉴于HD和其他脑部疾病的多种有效和预测模型的存在,随着研究转向基于表型的筛选和多组学验证,我们现在正进入机制发现阶段。除了啮齿动物模型外,斑马鱼(Danio rerio)正迅速成为翻译HD研究的有前途的模型生物。斑马鱼具有与人类相当的基因同源性、胚胎透明的实时病理跟踪、与哺乳动物的生理相似性以及高通量药物筛选潜力,已成为翻译HD研究中有价值的替代模式生物。本文将讨论斑马鱼HD模型及其优势和局限性,以及该领域未来的转化研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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