中国神经再生研究(英文版) ›› 2020, Vol. 15 ›› Issue (12): 2255-2257.doi: 10.4103/1673-5374.284983

• 观点:退行性病与再生 • 上一篇    下一篇

全脑3D成像可量化神经退行性疾病小鼠模型中的药物治疗效果

  

  • 出版日期:2020-12-15 发布日期:2020-08-04

Whole-brain three-dimensional imaging for quantifcation of drug targets and treatment efects in mouse models of neurodegenerative diseases

Henrik H. Hansen, Urmas Roostalu, Jacob Hecksher-Sørensen   

  1. Gubra, Hørsholm, Denmark
  • Online:2020-12-15 Published:2020-08-04
  • Contact: Jacob Hecksher-Sørensen, PhD, jhs@gubra.dk.

摘要: orcid: 0000-0002-5516-6177 (Jacob Hecksher-Sørensen) 

Abstract: Altered brain functionality in neurodegenerative diseases, including Par- kinson’s disease (PD) and Alzheimer’s disease (AD), involve com- plex pathological changes and molecular mechanisms which poses a major challenge for development of effective drug treatments. Progressive loss of specifc neuron types and projections are hall- marks of PD and AD and proper histological evaluation of relevant disease models therefore requires highly reliable cell detection and quantification methods. Immunohistochemistry is the prevail- ing method of choice to visualize and quantify histopathological changes in brain tissue sections. Although stereology applied to se- rially sampled sections is considered the gold standard for unbiased three-dimensional (3D) estimation of histomorphometric changes and therapeutic efects in neurodegeneration models, the elaborate sequence of histological processing steps can be time-intensive and limit analyses to a few preselected brain areas. Whereas physical tis- sue sections may provide higher structural resolution for any given 2D plane, the advantage of volume imaging is to facilitate 3D inves- tigation of brain structures and cell populations in the intact brain. In this respect, clinical whole-brain 3D imaging has continued to provide valuable insights in early detection, diagnosis and interpre- tation of PD and AD in humans, yet it has remained challenging to establish in preclinical research and drug discovery.