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PROFILING PARKINSON’S DISEASE (PROPARK): AN OBSERVATIONAL, MULTICENTER, LONGITUDINAL COHORT STUDY DESIGNED TO IDENTIFY A PARKCODE FOR PARKINSON’S
Abstract
Aims
To personalize current and future medical treatment in Parkinson’s disease (PD) there is an urgent need for identification of molecular profiles underlying between-patient differences in phenotype expression, treatment response and susceptibility to adverse drug reactions (ADRs). Here, we present the observational cohort study, named ‘Profiling Parkinson’s disease’ (ProPark), which is designed to identify a ‘ParkCode’ reflecting molecular profiles in PD.
Methods
ProPark is a longitudinal, multicenter cohort study in which 1250 PD patients with a disease duration of <10 years, as well as 265 age- and gender-matched controls will be recruited by a collaborative network in the Netherlands. We will collect phenotypic data, including neurological, neuropsychological and psychiatric assessments at baseline and follow-up (3 years). In addition, we will collect extensive wearable-sensor-derived kinematic data and blood (DNA, serum, plasma and PBMCs) and stool annually, and from a subset of patients also skin biopsies, CSF and brain-MRI.
Results
We will develop a biobank containing comprehensive and uniformly acquired longitudinal clinical data and biological samples for identification and validation of existing and novel (quantitative) biomarkers reflecting the Parkinson’s phenotype. In addition, we will develop data-driven approaches to unravel heterogeneity in the Parkinson’s phenotype. Main study parameters are biomarker concentrations (i.e. blood & stoo microbiome), skin alpha-synuclein aggregation, treatment response, ADR occurrence and cognitive and neuropsychiatric scores.
Conclusions
ProPark will integrate longitudinal clinical and biomarker data into a ‘ParkCode’ which may guide towards a more tailored use of current available symptomatic treatment and the development of disease-modifying therapies.