Titre:	Construct, face, and predictive validity of Parkinson’s disease rodent models
Auteur(s):	Guimarães, Rayanne Poletti Resende, Maria Clara Souza de Tavares, Miguel Mesquita Azevedo, Caio Belardinelli de Ruiz, Miguel Cesar Merino Mortari, Márcia Renata
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-9253-2770 https://orcid.org/0000-0002-0049-590X https://orcid.org/0000-0001-7164-6704 https://orcid.org/0000-0002-6849-6001
metadata.dc.contributor.affiliation:	University of Brasília, Institute of Biological Sciences, Neuropharma Lab, Department of Physiological Sciences University of Brasília, Institute of Biological Sciences, Neuropharma Lab, Department of Physiological Sciences University of Brasília, Institute of Biological Sciences, Neuropharma Lab, Department of Physiological Sciences University of Brasília, Institute of Biological Sciences, Neuropharma Lab, Department of Physiological Sciences Sarah Network of Rehabilitation Hospitals, Neurological Rehabilitation Unit University of Brasília, Institute of Biological Sciences, Neuropharma Lab, Department of Physiological Sciences
Assunto::	Parkinson, Doença de Modelos animais Validade de construto Pesquisa translacional
Date de publication:	aoû-2024
Editeur:	MDPI
Référence bibliographique:	GUIMARÃES, Rayanne Poletti. Construct, face, and predictive validity of Parkinson’s disease rodent models. International Journal of Molecular Sciences. v. 25, n. 16, 8971, 2024. DOI: https://doi.org/10.3390/ijms25168971. Disponível em: https://www.mdpi.com/1422-0067/25/16/8971. Acesso em: 29 abr. 2026.
Abstract:	Parkinson’s disease (PD) is the second most common neurodegenerative disease globally. Current drugs only alleviate symptoms without halting disease progression, making rodent models essential for researching new therapies and understanding the disease better. However, selecting the right model is challenging due to the numerous models and protocols available. Key factors in model selection include construct, face, and predictive validity. Construct validity ensures the model replicates pathological changes seen in human PD, focusing on dopaminergic neurodegeneration and a-synuclein aggregation. Face validity ensures the model’s symptoms mirror those in humans, primarily reproducing motor and non-motor symptoms. Predictive validity assesses if treatment responses in animals will reflect those in humans, typically involving classical pharmacotherapies and surgical procedures. This review highlights the primary characteristics of PD and how these characteristics are validated experimentally according to the three criteria. Additionally, it serves as a valuable tool for researchers in selecting the most appropriate animal model based on established validation criteria.
metadata.dc.description.unidade:	Instituto de Ciências Biológicas (IB) Departamento de Ciências Fisiológicas (IB CFS)
metadata.dc.description.ppg:	Programa de Pós-Graduação em Patologia Molecular Programa de Pós-Graduação em Biologia Animal
Licença::	© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
DOI:	https://doi.org/10.3390/ijms25168971
Collection(s) :	Artigos publicados em periódicos e afins

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