Viewing Study NCT06941012


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Study NCT ID: NCT06941012
Status: RECRUITING
Last Update Posted: 2025-05-29
First Post: 2025-04-16
Is Gene Therapy: True
Has Adverse Events: False

Brief Title: Validation of α-synuclein Modifications in Parkinson's dIsoRder Evolution
Sponsor: Casa di Cura IGEA
Organization:

Study Overview

Official Title: Validation of α-synuclein Modifications in Parkinson's dIsoRder Evolution (VaMPiRE)
Status: RECRUITING
Status Verified Date: 2025-05
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: VaMPiRE
Brief Summary: Parkinson's disease (PD) presents a complex challenge due to its progressive neurodegenerative nature, affecting various bodily systems. Despite decades of research, understanding its onset and progression remains unclear, complicating early diagnosis and treatment. Recent advances in PD pathophysiology suggest promising treatments to slow disease progression, yet reversing cellular degeneration remains elusive. With novel therapies emerging, the need for early detection tools is urgent. However, validated biomarkers for PD diagnosis are lacking, relying on subjective scales like Hoehn and Yahr or costly medical imaging techniques. The accumulation of misfolded α-Synuclein (α-Syn) proteins in PD pathology has sparked interest, but defining diagnostic roles requires further investigation. Recent findings of α-Syn in neuronal-derived extracellular vesicles (NDEVs) from PD patients suggest a potential for novel diagnostic methods. Our proposed project, VαMPiRE, aims to conduct a longitudinal study involving 600 PD and 600 non-PD participants using a cluster-adjusted case-control methodology, to explore α-Syn isoforms and related biomarkers in NDEVs for early PD detection.

We plan to develop and validate an innovative in-vitro diagnostic (IVD) test capable of detecting PD's earliest stages and estimating disease prognosis and progression. Utilizing AI models to generate data analysis algorithms and collaboration with leading analytical laboratories and IVD manufacturers, we aim to ensure the reliability and feasibility of the developed prototype. Through consortium efforts, we envision licensing the generated intellectual property to drive the commercialization of our results.

Two round of blood sample extractions will be performed within a 24-month gap to PD participants and a single baseline for non-PD controls. All participants will be regularly followed up during this 24-month period to monitor disease evolution and treatment, and non-PD controls developing the disease will be part of a third cohort (expected to be around 24 subjects according to 4% incidence) that will confirm the sensitivity of the test in asymptomatic subjects. The unique aspect of the project is that we anticipate being able to detect theses 4% of non-PD participants that will go on to develop the disease, therefore demonstrating the value of these biomarkers to identify PD early.

The prototype will be validated for its discriminative capacity, using the first baseline set of PD and non-PD samples, and for its ability to detect the PD-progression comparing baseline and 24-months data plus blood samples.

Improved early screening could allow for 270,000 new cases of PD to be detected earlier, improve the disease management of 9.4 M people currently diagnosed of PD and avoid losing a total of 5.8 million disability adjusted life years (DALYs) by 2028 leading also the development of better treatments.
Detailed Description: The VαMPiRE study (Validation of α-synuclein Modifications in Parkinson's dIsoRder Evolution) is a multicenter, longitudinal observational study in the context of European Grant Horizon Europe (101156370-2) and is designed to validate specific α-synuclein (α-Syn) isoforms and their post-translational modifications as biomarkers for the early detection and progression monitoring of Parkinson's disease (PD). The study addresses the critical unmet need for a cost-effective, non-invasive diagnostic method by combining innovative biochemical analyses, artificial intelligence (AI)-driven data models, and comprehensive clinical assessments. This effort aligns with emerging global priorities to enhance the early diagnosis and personalized treatment of neurodegenerative diseases.

Study Oversight

Has Oversight DMC: True
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: