ReviewNeurotoxicity research2007
Model fusion, the next phase in developing animal models for Parkinson's disease.
Review in Neurotoxicity research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Construct, Face, and Predictive Validity of Parkinson's Disease Rodent Models.International journal of molecular sciences · 2024Review
- A sporadic Parkinson's disease model via silencing of the ubiquitin-proteasome/E3 ligase component, SKP1A.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Modulating Stress Proteins in Response to Therapeutic Interventions for Parkinson's Disease.International journal of molecular sciences · 2023Review
- MPTP Parkinsonism and Implications for Understanding Parkinson's Disease.Movement disorders clinical practice · 2022Article
- Neurotoxin-Induced Rodent Models of Parkinson's Disease: Benefits and Drawbacks.Neurotoxicity research · 2021Review
- Genetic and Environmental Factors Influence the Pleomorphy ofInternational journal of molecular sciences · 2021Review
- Autonomic dysfunction in Parkinson disease and animal models.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019Review
- Parkinson's disease: what the model systems have taught us so far.Journal of genetics · 2018Review
- δ-Aminolevulinate Dehydratase Activity is Stimulated in a MPTP Mouse Model of Parkinson's Disease: Correlation with Myeloperoxidase Activity.Cellular and molecular neurobiology · 2017Article
- Effects of Postnatal Enriched Environment in a Model of Parkinson's Disease in Adult Rats.International journal of molecular sciences · 2017Article
- The MPTP Story.Journal of Parkinson's disease · 2017Review
- Astrocytes Surviving Severe Stress Can Still Protect Neighboring Neurons from Proteotoxic Injury.Molecular neurobiology · 2016Article
- Quantification of mitochondrial morphology in neurites of dopaminergic neurons using multiple parameters.Journal of neuroscience methods · 2016Article
- Heat shock proteins in neurodegenerative disorders and aging.Journal of cell communication and signaling · 2014Article
- Gene-environment interaction models to unmask susceptibility mechanisms in Parkinson's disease.Journal of visualized experiments : JoVE · 2014Article
- Adaptation and sensitization to proteotoxic stress.Dose-response : a publication of International Hormesis Society · 2014Article
- Rodent models and contemporary molecular techniques: notable feats yet incomplete explanations of Parkinson's disease pathogenesis.Molecular neurobiology · 2012Review
- Natural toxins implicated in the development of Parkinson's disease.Therapeutic advances in neurological disorders · 2011Article
- Gene-environment interactions: key to unraveling the mystery of Parkinson's disease.Progress in neurobiology · 2011Review
- Prenatal LPS increases inflammation in the substantia nigra of Gdnf heterozygous mice.Brain pathology (Zurich, Switzerland) · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within the past 25 years, discoveries of environmental and monogenetic forms of parkinsonism have shaped the direction of Parkinson's disease (PD) research and development of experimental systems to study PD. In this review, we outline a remarkable array of in vivo models available, with particular emphasis on their benefits and pitfalls and the contribution each has made to enhance our understanding of pathological mechanisms involved in PD. Further, we discuss the increasingly popular approach of "model fusion" to create a new generation of animal systems in which to study gene-environment interactions, and the usefulness of such models in capturing the most common events underlying PD.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.