Zebrafish for modeling stroke and their applicability for drug discovery and development.

Expert Opin Drug Discov

Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.

Published: June 2022

Introduction: The global health burden of stroke is significant and few therapeutic treatment options currently exist for patients. Pre-clinical research relies heavily on rodent stroke models but the limitations associated with using these systems alone has meant translation of drug compounds to the clinic has not been greatly successful to date. Zebrafish disease modeling offers a potentially complementary platform for pre-clinical compound screening to aid the drug discovery process for translational stroke research.

Areas Covered: In this review, the authors introduce stroke and describe the issues associated with the current pre-clinical drug development pipeline and the advantages that zebrafish disease modeling can offer. Existing zebrafish models of ischemic and hemorrhagic stroke are reviewed. Examples of how zebrafish models have been utilized for drug discovery in other disease disciplines are also discussed.

Expert Opinion: Zebrafish disease modeling holds the capacity and potential to significantly enhance the stroke drug development pipeline. However, for this system to be more widely accepted and incorporated into translational stroke research, continued improvement of the existing zebrafish stroke models, as well as focussed collaboration between zebrafish and stroke researchers, is essential.

Download full-text PDF

Source
http://dx.doi.org/10.1080/17460441.2022.2072828DOI Listing

Publication Analysis

Top Keywords

drug discovery
12
zebrafish disease
12
disease modeling
12
stroke
10
zebrafish
8
stroke models
8
translational stroke
8
drug development
8
development pipeline
8
existing zebrafish
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!