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Animal Approaches to Studying Risk Factors for Parkinson's Disease: A Narrative Review.

Regina Helena SilvaL B Lopes-SilvaD G CunhaM BecegatoAlessandra Mussi RibeiroJ R Santos
Published in: Brain sciences (2024)
Despite recent efforts to search for biomarkers for the pre-symptomatic diagnosis of Parkinson's disease (PD), the presence of risk factors, prodromal signs, and family history still support the classification of individuals at risk for this disease. Human epidemiological studies are useful in this search but fail to provide causality. The study of well-known risk factors for PD in animal models can help elucidate mechanisms related to the disease's etiology and contribute to future prevention or treatment approaches. This narrative review aims to discuss animal studies that investigated four of the main risk factors and/or prodromal signs related to PD: advanced age, male sex, sleep alterations, and depression. Different databases were used to search the studies, which were included based on their relevance to the topic. Although still in a reduced number, such studies are of great relevance in the search for evidence that leads to a possible early diagnosis and improvements in methods of prevention and treatment.
Keyphrases
  • risk factors
  • case control
  • endothelial cells
  • machine learning
  • parkinson disease
  • emergency department
  • artificial intelligence
  • atomic force microscopy
  • adverse drug