Detection of A-synuclein Aggregate as Biomarker in Diagnosing Parkinson's Disease at Early Stage by Using Protein Misfolding Cyclic Amplification (PMCA)

September 26, 2023 updated by: Jian Wang, Huashan Hospital
The study will investigate the biomarker of a-synuclein aggregate in CSF detected by protein misfolding cyclic amplification (PMCA) and its sensitivity and specificity in diagnosing Parkinson's disease at H-Y stage I and disease duration less than 1 year, compared with that from age-matched controls without neurodegeneration, those with Multiple System Atrophy (MSA) as a disease control with a-synucleinopathy, and those with Progressive Supranuclear Palsy (PSP) as a control with non-a-synucleinopathy neurodegeneration.

Study Overview

Status

Suspended

Conditions

Intervention / Treatment

Detailed Description

This will be an observational study aiming to develop the protein misfolding cyclic amplification (PMCA) technology that detects minute amounts of αSyn aggregates circulating in cerebrospinal fluid (CSF) as a novel assay with high sensitivity and specificity for the early diagnosis of PD. To achieve this goal, we will apply the PMCA to detect the αSyn aggregates in the CSF samples acquired from a discovery cohort that consist of well-characterized early PD patients (disease duration ≤1 year and Hoehn and Yahr Stage I, and DAT-PET and FDG-PET meet the imaging features of PD, n=75) and gender, age-matched healthy controls (n=38). Furthermore, we will confirm the findings in a separate confirmatory cohort with well-characterized early PD patients (disease duration ≤1 year and Hoehn and Yahr Stage I, and DAT-PET and FDG-PET meet the imaging features of PD, n=75), early multiple system atrophy (MSA) patients (disease duration ≤1 year, n=38), early progressive supranuclear palsy (PSP) patients (disease duration ≤1 year, n=38) and age-matched healthy controls (n=38). The sensitivity, specificity, positive predictive value, negative predictive value, and area under curve of the PMCA for the early diagnosis of PD will be calculated in the discovery cohort and be confirmed in the confirmatory cohort, respectively. In addition, the clinical characteristics, including motor and nonmotor symptoms of early PD, MSA and PSP patients in the two cohort will be comprehensively assessed at baseline and during followed-up. To assess the value of the PMCA technology in the evaluation of the disease severity and progress, we will perform the partial correlation analysis between clinical features of early PD patients and the PMCA T50 defined as the time needed to reach 50% of the maximum aggregation.

Misfolded αSyn aggregates have the potential to serve as a biomarker for early PD. The PMCA technology could detect small quantities of misfolded αSyn aggregates by taking advantage of their ability to nucleate further aggregation, enabling a very high amplification of the signal. This study examines the effectiveness of using the PMCA as a novel technique for discriminating early PD from gender, age-matched healthy controls and other early parkinsonian disorders (MSA, PSP) by detecting small misfolded αSyn aggregates in CSF.

Study Type

Observational

Enrollment (Estimated)

302

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Shanghai
      • Shanghai, Shanghai, China, 200040
        • Huashan Hospital affiliated to Fudan University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

48 years to 73 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Discovery cohort: (1) Early PD patients (disease duration ≤1 year and Hoehn and Yahr Stage I, n=75); (2) Gender, age-matched healthy controls (n=38); (3) The dopamine reuptake transporter (DAT) is significantly reduced in striatum on PET imaging; (4) Metabolic brain network detected by fluorine-18-labelled-fluorodeoxyglucose-PET(18F-FDG PET) is consistent with Parkinson's disease-related pattern (PDRP).

Confirmatory cohort: (1) Early PD patients (disease duration ≤1 year and Hoehn and Yahr Stage I, n=75); (2) Early Multiple System Atrophy (MSA) patients (disease duration ≤1 year, n=38); (3) Early progressive supranuclear palsy (PSP) patients (disease duration ≤1 year, n=38); (4) Gender, age-matched healthy controls (n=38); (5) The dopamine reuptake transporter (DAT) is significantly reduced in striatum on PET imaging; (6) Metabolic brain network detected by fluorine-18-labelled-fluorodeoxyglucose-PET(18F-FDG PET) is consistent with Parkinson's disease-related pattern (PDRP).

Description

For early PD patients

Inclusion criteria:

  • Clinical diagnosis of "probable PD" by two neurologists specializing in movement disorders according to the International Parkinson and Movement Disorder Society (MDS) Clinical Diagnostic Criteria for PD (2015);
  • Age 50-75, disease duration is less than 1 year, and Hoehn & Yahr Stage I;
  • the dopamine reuptake transporter (DAT) is significantly reduced in striatum on PET imaging;
  • Metabolic brain network detected by fluorine-18-labelled-fluorodeoxyglucose-PET(18F-FDG PET) is consistent with Parkinson's disease-related pattern (PDRP), with FDG hypermetabolism being in basal ganglia and cerebellum;
  • Good response to anti-PD medications;
  • Ability of completing questionnaires;
  • Ability of providing informed consent;
  • Willingness of being assessed by neurologists during off-medication state defined as discontinuing anti-PD medications for at least 12 hours before assessment.

Exclusion criteria:

  • Secondary parkinsonism (ie. drug induced);
  • Atypical parkinsonisms like MSA or PSP etc;
  • Presence of any item in 10 red flags of the MDS Clinical Diagnostic Criteria for PD (2015) in the comprehensive assessments during follow-up;
  • History of being diagnosed as any cancer within 5 years;
  • Presence of any condition risking the procedure of performing lumbar puncture (LP);
  • Pregnancy;
  • Inability to comply with study procedures.

For early MSA patients

Inclusion criteria:

  • Clinical diagnosis of "probable MSA" by two neurologists specializing in movement disorders according to the International Parkinson and Movement Disorder Society (MDS) second consensus criteria for MSA (2019);
  • Age 50-75, and disease duration is less than 1 year;
  • Metabolic brain network detected by fluorine-18-labelled-fluorodeoxyglucose-PET(18F-FDG PET) is consistent with MSA related pattern;
  • Ability of completing questionnaires;
  • Ability of providing informed consent;
  • Willingness of being assessed by neurologists during off-medication state defined as discontinuing anti-PD medications for at least 12 hours before assessment.

Exclusion criteria:

  • Secondary parkinsonism (ie. drug induced);
  • History of being diagnosed as any cancer within 5 years;
  • Presence of any condition risking the procedure of performing lumbar puncture (LP);
  • Pregnancy;
  • Inability to comply with study procedures.

For PSP patients

Inclusion criteria:

  • Clinical diagnosis of "probable PSP" by two neurologists specializing in movement disorders according to MDS Clinical Diagnostic Criteria for PSP (2017);
  • Age 50-75, disease duration is less than 1 year;
  • Metabolic brain network detected by fluorine-18-labelled-fluorodeoxyglucose-PET(18F-FDG PET) is consistent with PSP related pattern;
  • Ability of completing questionnaires;
  • Ability of providing informed consent;
  • Willingness of being assessed by neurologists during off-medication state defined as discontinuing anti-PD medications for at least 12 hours before assessment.

Exclusion criteria:

  • Secondary parkinsonism (ie. drug induced);
  • History of being diagnosed as any cancer within 5 years;
  • Presence of any condition risking the procedure of performing lumbar puncture (LP);
  • Pregnancy;
  • Inability to comply with study procedures.

For controls without diagnosis of neurodegenerative disorders

Inclusion criteria:

  • Age 50-75;
  • No history of neurodegenerative disease of the central nervous system;
  • No history of infective disease of the central system;
  • Ability of completing questionnaires;
  • Ability of providing informed consent.

Exclusion criteria:

  • With prodromal symptoms of PD, such as rapid eye movement sleep behavior disorder (RBD);
  • History of being diagnosed as any cancer within 5 years;
  • Presence of any condition increasing the risk of the procedure of performing lumbar puncture (LP);
  • Pregnancy;
  • Inability to comply with study procedures.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Parkinson's Disease
Subjects who have a PD diagnosis
Biomarker assay will be used to quantify levels of misfolded alpha-synuclein aggregates in cerebrospinal fluid from patients with Parkinson's disease, multiple system atrophy, progressive superanuclear palsy and controls.
Multiple System Atrophy
Subjects who have an MSA diagnosis
Biomarker assay will be used to quantify levels of misfolded alpha-synuclein aggregates in cerebrospinal fluid from patients with Parkinson's disease, multiple system atrophy, progressive superanuclear palsy and controls.
Progressive Superanuclear Palsy
Subjects who have a PSP diagnosis
Biomarker assay will be used to quantify levels of misfolded alpha-synuclein aggregates in cerebrospinal fluid from patients with Parkinson's disease, multiple system atrophy, progressive superanuclear palsy and controls.
Age-matched controls
Subjects who do not have a diagnosed neurological disorder
Biomarker assay will be used to quantify levels of misfolded alpha-synuclein aggregates in cerebrospinal fluid from patients with Parkinson's disease, multiple system atrophy, progressive superanuclear palsy and controls.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The area under curve of the PMCA for the early diagnosis of PD
Time Frame: two years
The area under curve is used to show the ability of the a-syn-PMCA to diagnose early PD. The value of area under curve is higher, then the ability of the a-syn-PMCA to diagnose early PD is stronger.
two years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The correlation between the PMCA T50 and MDS-UPDRS III score at baseline in PD patients
Time Frame: two years
PMCA T50 is the time needed to reach 50% of the maximum aggregation. The motor symptoms of PD patients will be assessed using the Movement Disorder Society-Unified Parkinson's Disease Rating Scale Part 3 (MDS-UPDRS- III).
two years
The correlation between PMCA T50 and subregional DAT in striatum in PD patients
Time Frame: two years
PMCA T50 is the time needed to reach 50% of the maximum aggregation. The DAT uptake value (caudate, anterior putamen and/or posterior putamen) will be quantified using DAT-PET.
two years
The correlation between PMCA T50 and PDRP expression value in PD patients
Time Frame: two years
PMCA T50 is the time needed to reach 50% of the maximum aggregation. The Parkinson's disease-related pattern (PDRP) expression value will be quantified by using FDG-PET.
two years
The correlation between PMCA T50 and the change of MDS-UPDRS III score between the baseline and the follow-up
Time Frame: two years
PMCA T50 is the time needed to reach 50% of the maximum aggregation. The change of MDS-UPDRS III score is the difference of that between the baseline and the follow-up.
two years
The sensitivity
Time Frame: two years
The sensitivity is used to show the ability of the a-syn-PMCA to diagnose early PD patients, and is represented by true positive/ (true positive +false negative).
two years
The specificity
Time Frame: two years
The specificity is used to show the ability of the a-syn-PMCA to avoid false early PD patients and rule out early PD patients, and is represented by true negative/ (false positive + true negative).
two years
The positive predictive value
Time Frame: two years
The positive predictive value is used to show the ability of the a-syn-PMCA to correctly label early PD patients who test positive, and is represented by true positive / (true positive + false positive).
two years
The negative predictive value
Time Frame: two years
The negative predictive value is used to show the ability of the a-syn-PMCA to correctly label people who test negative, and is represented by true negative / (false negative + true negative).
two years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jian Wang, MD, Huashan Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

October 1, 2024

Primary Completion (Estimated)

December 30, 2025

Study Completion (Estimated)

December 30, 2025

Study Registration Dates

First Submitted

August 28, 2020

First Submitted That Met QC Criteria

September 2, 2020

First Posted (Actual)

September 3, 2020

Study Record Updates

Last Update Posted (Actual)

September 28, 2023

Last Update Submitted That Met QC Criteria

September 26, 2023

Last Verified

September 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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