Publication

Use of large animal models to investigate Huntington's diseases

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Last modified
  • 05/20/2025
Type of Material
Authors
    Sen Yan, Jinan UniversityShihua Li, Emory UniversityXiao-Jiang Li, Emory University
Language
  • English
Date
  • 2019-06-01
Publisher
  • KeAi
Publication Version
Copyright Statement
  • © 2019 Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 2045-9769
Volume
  • 8
Issue
  • 1
Start Page
  • 9
End Page
  • 11
Grant/Funding Information
  • This work was supported by the National Natural Science Foundation of China (91649115) and GuangDong Province science and technology plan project (2017A020211019).
Abstract
  • Animal models that can mimic human diseases are the important tools for investigating the pathogenesis of the diseases and finding a way for treatment. There is no doubt that small animal models have provided a wealth of information regarding disease pathogenesis and also offered widely used tools to develop therapeutic strategies. Rodent models have been very valuable for investigators to understand the mechanisms underlying misfolded protein-mediated neuronal dysfunction and behavioral phenotypes in a variety of neurodegenerative diseases including Alzheimer's, Parkinson's, and Huntington's diseases (HD). However, most of genetically modified rodent models of these diseases lack the overt and selective neurodegeneration seen in the patient brains. Since large animals are more similar to humans than small animals and rodents, the large animal models are likely to mimic important neuropathological features in humans. Here we discuss the application of large animal models in neurodegenerative disease research with focus on the HD large animal models, aiming to provide insight into the application of animal models to study neurodegenerative diseases.
Author Notes
Keywords
Research Categories
  • Biology, Genetics
  • Biology, Animal Physiology
  • Biology, Neuroscience

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