| Literature DB >> 27026092 |
Adviye Ergul1,2,3, Sherif Hafez4,5,6, Abdelrahman Fouda4,5, Susan C Fagan4,5,7.
Abstract
Human ischemic stroke is very complex, and no single preclinical model can comprise all the variables known to contribute to stroke injury and recovery. Hypertension, diabetes, and hyperlipidemia are leading comorbidities in stroke patients. The use of predominantly young adult and healthy animals in experimental stroke research has created a barrier for translation of findings to patients. As such, more and more disease models are being incorporated into the research design. This review highlights the major strengths and weaknesses of the most commonly used animal models of these conditions in preclinical stroke research. The goal is to provide guidance in choosing, reporting, and executing appropriate disease models that will be subjected to different models of stroke injury.Entities:
Keywords: Diabetes; Hypertension; Stroke
Mesh:
Year: 2016 PMID: 27026092 PMCID: PMC4929031 DOI: 10.1007/s12975-016-0464-8
Source DB: PubMed Journal: Transl Stroke Res ISSN: 1868-4483 Impact factor: 6.829