title: Parkinson's disease mouse models in translational research.
abstract: Animal models with high predictive power are a prerequisite for translational research. The closer the similarity of a model to Parkinson's disease (PD), the higher is the predictive value for clinical trials. An ideal PD model should present behavioral signs and pathology that resemble the human disease. The increasing understanding of PD stratification and etiology, however, complicates the choice of adequate animal models for preclinical studies. An ultimate mouse model, relevant to address all PD-related questions, is yet to be developed. However, many of the existing models are useful in answering specific questions. An appropriate model should be chosen after considering both the context of the research and the model properties. This review addresses the validity, strengths, and limitations of current PD mouse models for translational research.
authors.affiliation: Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg. paul.antony@uni.lu
authors.forename: Paul M A
authors.initials: PM
authors.lastname: Antony
authors.forename: Nico J
authors.initials: NJ
authors.lastname: Diederich
authors.forename: Rudi
authors.initials: R
authors.lastname: Balling
mesh_terms: D000818:Animals; D004195:Disease Models, Animal; D006801:Humans; D051379:Mice / Q000235:genetics / Q000378:metabolism; D010300:Parkinson Disease / Q000188:drug therapy / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D057170:Translational Research, Biomedical