The Role of Zebrafish and Laboratory Rodents in Schizophrenia Research
Schizophrenia is a severe disorder characterized by positive, negative and cognitive symptoms, which are still not fully understood. The development of efficient antipsychotics requires animal models of a strong validity, therefore the aims of the article were to summarize the construct, face and pr...
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Published in: | Frontiers in psychiatry Vol. 11; p. 703 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
Frontiers Media S.A
27-08-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | Schizophrenia is a severe disorder characterized by positive, negative and cognitive symptoms, which are still not fully understood. The development of efficient antipsychotics requires animal models of a strong validity, therefore the aims of the article were to summarize the construct, face and predictive validity of schizophrenia models based on rodents and zebrafish, to compare the advantages and disadvantages of these models, and to propose future directions in schizophrenia modeling and indicate when it is reasonable to combine these models. The advantages of rodent models stem primarily from the high homology between rodent and human physiology, neurochemistry, brain morphology and circuitry. The advantages of zebrafish models stem in the high fecundity, fast development and transparency of the embryo. Disadvantages of both models originate in behavioral repertoires not allowing specific symptoms to be modeled, even when the models are combined. Especially modeling the verbal component of certain positive, negative and cognitive symptoms is currently impossible. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 Reviewed by: Kinga Gawel, Medical University of Lublin, Poland; Sebastiano Alfio Torrisi, University of Catania, Italy This article was submitted to Schizophrenia, a section of the journal Frontiers in Psychiatry Edited by: Francesco Papaleo, Italian Institute of Technology (IIT), Italy |
ISSN: | 1664-0640 1664-0640 |
DOI: | 10.3389/fpsyt.2020.00703 |