The effect of age, sex and strains on the performance and outcome in animal models of stroke.pdf
datasetposted on 04.03.2019 by Hongxia Zhang, Siyang Lin, Xudong Chen, Lei Gu, Yinuo Zhang, Kassandra Reyes, Brian Wang, Kunlin Jin
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Stroke is one of the leading causes of death worldwide, and the majority of cerebral stroke is caused by occlusion
of cerebral circulation, which eventually leads to brain infarction. Although stroke occurs mainly in the aged
population, most animal models for experimental stroke in vivo almost universally rely on young-adult rodents
for the evaluation of neuropathological, neurological, or behavioral outcomes after stroke due to their greater
availability, lower cost, and fewer health problems. However, it is well established that aged animals differ from
young animals in terms of physiology, neurochemistry, and behavior. Stroke-induced changes are more pronounced
with advancing age. Therefore, the overlooked role of age in animal models of stroke could have an
impact on data quality and hinder the translation of rodent models to humans. In addition to aging, other factors
also influence functional performance after ischemic stroke. In this article, we summarize the differences between
young and aged animals, the impact of age, sex and animal strains on performance and outcome in animal
models of stroke and emphasize age as a key factor in preclinical stroke studies.