Key result
Biomarker-based risk stratification plus lifestyle programs offer a viable precision prevention strategy for Parkinson's disease.
Why the study?
Neurodegenerative diseases pose major healthcare burdens in ageing societies, and lessons from Alzheimer disease prevention are being translated to advance precision prevention in Parkinson disease.
Design
Review
Hypothesis-generating for precision prevention in Parkinson's; extends Alzheimer's biomarker lessons but requires prospective validation.
Population ageing is posing significant challenges for healthcare systems and societies worldwide. Neurodegenerative diseases, including Alzheimer’s disease and Parkinson’s disease, are among the leading contributors to disability, dependence, and healthcare costs in ageing societies. Prevention offers the most sustainable approach to reducing the burden of neurodegenerative diseases. While Alzheimer’s disease prevention is already advancing through biomarker-based early detection, identification of modifiable risk factors, and multi-domain interventions, efforts are now turning towards Parkinson’s disease, the fastest growing neurodegenerative disorder. Using deeply phenotyped cohorts of patients with Parkinson’s disease and people with prodromal stages of neurodegenerative diseases, novel biomarkers have enabled biological classification for improved diagnosis of Parkinson’s disease, including early cognitive impairments. The expanding knowledge of Parkinson’s disease risk factors is now being translated into primary and secondary prevention concepts within integrated care settings to effectively address the burden of neurodegenerative diseases for the people affected. Integrating biomarker-based risk stratification with scalable life-style based programmes offers a realistic pathway toward precision prevention in Parkinson’s disease.
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Béchet et al. (2025) studied this question. Biomarker-based risk stratification combined with lifestyle programs offers a viable strategy for precision prevention in Parkinson's disease.
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