Exploring Brain Molecular Imaging and Blood Biomarkers in Subjects With Glucocerebrosidase Mutations: Toward a Precision Medicine Approach to Characterize Parkinson's Disease Clinical Trajectories
1 other identifier
observational
140
1 country
1
Brief Summary
Glucocerebrosidase (GBA) mutations are the most common risk factor for Parkinson's Disease (PD). GBA-related PD(GBA-PD) exhibits a more malignant phenotype as compared to no-carriers. Still, the mechanisms behind the increased malignancy in GBA-PD are not well understood. The definition of biomarkers able to stratify PD clinical trajectories in PD is therefore crucial to identify effective treatments and support diagnosis.The investigators will examine the role of GBA-mutations in accelerating a-synuclein (a-syn) and synaptic pathologies in PD by combining neuroimaging (positron emission tomography-PET), biochemical and clinical features. This will illuminate the pathophysiology underlying GBA-mutations in PD and identify biomarkers for the malignant PD phenotype. Also, the investigators will combine longitudinal clinical and imaging/biochemical features to define a prognostic algorithm for predicting disease faster progression in GBA-PD and monitoring disease trajectories in unaffected GBA carriers.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Apr 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 30, 2023
CompletedFirst Submitted
Initial submission to the registry
November 24, 2023
CompletedFirst Posted
Study publicly available on registry
December 12, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 12, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2026
CompletedFebruary 1, 2024
January 1, 2024
1.6 years
November 24, 2023
January 31, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
FDG-PET to measure cerebral metabolism between Parkinson's subjects with a mutation in GBA gene (MP-GBA) compared to patients with idiopathic Parkinson's.
Differences in expression levels of posterior cerebral metabolism between Parkinson's patients with GBA mutation and idiopathic Parkinson's patients.
3 years
Interventions
Among other neuroimaging techniques, FDG-PET represents a unique tool to study the early metabolic alterations associated with neurodegeneration, both at the group and individual subject level.
baseline, 12-months and 24 months.
Eligibility Criteria
PD patients with and without GBA mutations and asymptomatic GBA mutation carriers, relatives of GBA-PD patients.
You may qualify if:
- PD diagnosis according to MDS-PD criteria and for GBA-PD group, presence of heterozygous GBA mutations;
- disease duration 3-7years.
You may not qualify if:
- other neurological or systemic diseases;
- presence of mutations in another PD gene;
- impossibility or unwillingness to perform FDG-PET.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Neurological Institute Foundation Casimiro Mondino
Pavia, Italy
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor in Diagnostic Imaging and Radiotherapy Faculty of Medicine and Surgery, Vita-Salute San Raffaele University Director, Department of Nuclear Medicine, IRCCS Ospedale San Raffaele
Study Record Dates
First Submitted
November 24, 2023
First Posted
December 12, 2023
Study Start
April 30, 2023
Primary Completion
December 12, 2024
Study Completion
April 1, 2026
Last Updated
February 1, 2024
Record last verified: 2024-01
Data Sharing
- IPD Sharing
- Will not share