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Immune profiling of plasma-derived extracellular vesicles identifies Parkinson disease.
- Source :
-
Neurology(R) neuroimmunology & neuroinflammation [Neurol Neuroimmunol Neuroinflamm] 2020 Aug 12; Vol. 7 (6). Date of Electronic Publication: 2020 Aug 12 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- Objective: To develop a diagnostic model based on plasma-derived extracellular vesicle (EV) subpopulations in Parkinson disease (PD) and atypical parkinsonism (AP), we applied an innovative flow cytometric multiplex bead-based platform.<br />Methods: Plasma-derived EVs were isolated from PD, matched healthy controls, multiple system atrophy (MSA), and AP with tauopathies (AP-Tau). The expression levels of 37 EV surface markers were measured by flow cytometry and correlated with clinical scales. A diagnostic model based on EV surface markers expression was built via supervised machine learning algorithms and validated in an external cohort.<br />Results: Distinctive pools of EV surface markers related to inflammatory and immune cells stratified patients according to the clinical diagnosis. PD and MSA displayed a greater pool of overexpressed immune markers, suggesting a different immune dysregulation in PD and MSA vs AP-Tau. The receiver operating characteristic curve analysis of a compound EV marker showed optimal diagnostic performance for PD (area under the curve [AUC] 0.908; sensitivity 96.3%, specificity 78.9%) and MSA (AUC 0.974; sensitivity 100%, specificity 94.7%) and good accuracy for AP-Tau (AUC 0.718; sensitivity 77.8%, specificity 89.5%). A diagnostic model based on EV marker expression correctly classified 88.9% of patients with reliable diagnostic performance after internal and external validations.<br />Conclusions: Immune profiling of plasmatic EVs represents a crucial step toward the identification of biomarkers of disease for PD and AP.<br /> (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
- Subjects :
- Aged
Aged, 80 and over
Antigens, Surface
Biomarkers blood
Case-Control Studies
Cross-Sectional Studies
Female
Flow Cytometry
Humans
Male
Middle Aged
Multiple System Atrophy blood
Multiple System Atrophy classification
Multiple System Atrophy diagnosis
Multiple System Atrophy immunology
Parkinson Disease blood
Parkinson Disease classification
Parkinson Disease diagnosis
Parkinson Disease immunology
Parkinsonian Disorders blood
Parkinsonian Disorders classification
Protein Interaction Maps
Sensitivity and Specificity
Supervised Machine Learning
Tauopathies blood
Tauopathies classification
Extracellular Vesicles immunology
Parkinsonian Disorders diagnosis
Parkinsonian Disorders immunology
Tauopathies diagnosis
Tauopathies immunology
Subjects
Details
- Language :
- English
- ISSN :
- 2332-7812
- Volume :
- 7
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Neurology(R) neuroimmunology & neuroinflammation
- Publication Type :
- Academic Journal
- Accession number :
- 32817412
- Full Text :
- https://doi.org/10.1212/NXI.0000000000000866