Clapcote, SJ orcid.org/0000-0002-6662-5690 (2022) How can we obtain truly translational mouse models to improve clinical outcomes in schizophrenia? Disease Models & Mechanisms, 15 (11). dmm049970. ISSN 1754-8403
Abstract
Schizophrenia is a serious mental illness affecting 0.7% of the world’s population. Despite over 50 years of schizophrenia drug identification and development, there have been no fundamental advances in the treatment of schizophrenia since the 1980s. Complex genetic aetiology and elusive pathomechanisms have made it difficult for researchers to develop models that sufficiently reflect pathophysiology to support effective drug discovery. However, recent large-scale, well-powered genomic studies have identified risk genes that represent tractable entry points to decipher disease mechanisms in heterogeneous patient populations and develop targeted treatments. Replicating schizophrenia-associated gene variants in mouse models is an important strategy to start understanding their pathogenicity and role in disease biology. Furthermore, longitudinal studies in a wide range of genetic mouse models from early postnatal life are required to assess the progression of this disease through developmental stages to improve early diagnostic strategies and enable preventative measures. By expanding and refining our approach to schizophrenia research, we can improve prevention strategies and treatment of this debilitating disease.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022. Published by The Company of Biologists Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
Keywords: | Biological psychiatry; Mouse models; Schizophrenia |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Feb 2023 10:20 |
Last Modified: | 07 Feb 2023 10:20 |
Status: | Published |
Publisher: | The Company of Biologists |
Identification Number: | 10.1242/dmm.049970 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:195869 |