Literature DB >> 35872220

Mice in translational neuroscience: What R we doing?

Garikoitz Azkona1, Rosario Sanchez-Pernaute2.   

Abstract

Animal models play a pivotal role in translational neuroscience but recurrent problems in data collection, analyses, and interpretation, lack of biomarkers, and a tendency to over-reliance on mice have marred neuroscience progress, leading to one of the highest attrition rates in drug translation. Global initiatives to improve reproducibility and model selection are being implemented. Notwithstanding, mice are still the preferred animal species to model human brain disorders even when the translation has been shown to be limited. Non-human primates are better positioned to provide relevant translational information because of their higher brain complexity and homology to humans. Among others, lack of resources and formal training, strict legislation, and ethical issues may impede broad access to large animals. We propose that instead of increasingly restrictive legislation, more resources for training, education, husbandry, and data sharing are urgently needed. The creation of multidisciplinary teams, in which veterinarians need to play a key role, would be critical to improve translational efficiency. Furthermore, it is not usually acknowledged by researchers and regulators the value of comparative studies in lower species, that are instrumental in toxicology, target identification, and mechanistic studies. Overall, we highlight here the need for a conceptual shift in neuroscience research and policies to reach the patients.
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  3Rs; Animal model; Neuroscience; Translation

Mesh:

Year:  2022        PMID: 35872220     DOI: 10.1016/j.pneurobio.2022.102330

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   10.885


  1 in total

Review 1.  Modelling Neurological Diseases in Large Animals: Criteria for Model Selection and Clinical Assessment.

Authors:  Samantha L Eaton; Fraser Murdoch; Nina M Rzechorzek; Gerard Thompson; Claudia Hartley; Benjamin Thomas Blacklock; Chris Proudfoot; Simon G Lillico; Peter Tennant; Adrian Ritchie; James Nixon; Paul M Brennan; Stefano Guido; Nadia L Mitchell; David N Palmer; C Bruce A Whitelaw; Jonathan D Cooper; Thomas M Wishart
Journal:  Cells       Date:  2022-08-25       Impact factor: 7.666

  1 in total

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