ArticleActa neuropathologica2021
α-Synuclein in blood exosomes immunoprecipitated using neuronal and oligodendroglial markers distinguishes Parkinson's disease from multiple system atrophy.
Article in Acta neuropathologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 109 papers, 6 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
109 citing papers in PubMed, 6 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Extracellular Vesicle-Derived microRNAs as Fluid Biomarkers in Neurodegenerative Diseases: A Systematic Review.Journal of neurochemistry · 2026Pooled it
- Alpha-synuclein in peripheral body fluid as a biomarker for Parkinson's disease.Acta neurologica Belgica · 2024Pooled it
- Potential Exosome Biomarkers for Parkinson's Disease Diagnosis: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2024Pooled it
- Analysis of biomarkers in speculative CNS-enriched extracellular vesicles for parkinsonian disorders: a comprehensive systematic review and diagnostic meta-analysis.Journal of neurology · 2024Pooled it
- Biofluid Detection of Pathological α-Synuclein in the Prodromal Phase of Synucleinopathies.Journal of Parkinson's disease · 2024Pooled it
- Evaluation of α-synuclein in CNS-originating extracellular vesicles for Parkinsonian disorders: A systematic review and meta-analysis.CNS neuroscience & therapeutics · 2023Pooled it
- Neuron-derived extracellular vesicles to examine brain mTOR target engagement with sirolimus in patients with multiple system atrophy.Parkinsonism & related disorders · 2023Trial
- mTOR Inhibition with Sirolimus in Multiple System Atrophy: A Randomized, Double-Blind, Placebo-Controlled Futility Trial and 1-Year Biomarker Longitudinal Analysis.Movement disorders : official journal of the Movement Disorder Society · 2022Trial
- Exosome-derived biomarkers as non-invasive tools in stroke, Parkinson's disease, and Alzheimer's disease.Metabolic brain disease · 2026Review
- The New Spine of Access to the Brain's Secrets: Extracellular Vesicles from Cerebrospinal Fluid Liquid Biopsies in CNS Diseases and Blood-Brain Barrier Research.Molecular neurobiology · 2026Review
- Dynamic integration of skeletal muscle signals via extracellular vesicles in motor neuron diseases.Acta neuropathologica communications · 2026Review
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- Brain-Derived Extracellular Vesicle Subpopulations: from Bulk Measurements to Single-Entity Assays.JACS Au · 2026Review
- Exosomes in Amyloid Propagation-Roles in Neurodegeneration.Molecular neurobiology · 2026Review
- Peripheral immunochemical considerations in Parkinson disease: sources, targets and crosstalk mechanisms.Journal of translational medicine · 2026Review
- Detection of alpha-synuclein seeding activity in tear fluid in patients with Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Tissue-Specific Extracellular Vesicles Enriched From Circulation: Exploring the Liquid Biopsy Perspective.Journal of extracellular biology · 2026Review
- Screen, Sample, Stratify: Biomarkers and Machine Learning Compress Dementia Pathways.Biomedicines · 2026Article
- Differential Proteomic Landscape of Plasma Neuron-Derived Extracellular Vesicles in Parkinson's Disease with and without RBD: A Pilot Investigation.International journal of nanomedicine · 2026Article
- Emerging biomarkers for Parkinson's disease in biological fluids.Frontiers in aging neuroscience · 2026Review
49 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
23 authors at 7 institutions in 2 countries.
Funding
Abstract
The diagnosis of Parkinson's disease (PD) and atypical parkinsonian syndromes is difficult due to the lack of reliable, easily accessible biomarkers. Multiple system atrophy (MSA) is a synucleinopathy whose symptoms often overlap with PD. Exosomes isolated from blood by immunoprecipitation using CNS markers provide a window into the brain's biochemistry and may assist in distinguishing between PD and MSA. Thus, we asked whether α-synuclein (α-syn) in such exosomes could distinguish among healthy individuals, patients with PD, and patients with MSA. We isolated exosomes from the serum or plasma of these three groups by immunoprecipitation using neuronal and oligodendroglial markers in two independent cohorts and measured α-syn in these exosomes using an electrochemiluminescence ELISA. In both cohorts, α-syn concentrations were significantly lower in the control group and significantly higher in the MSA group compared to the PD group. The ratio between α-syn concentrations in putative oligodendroglial exosomes compared to putative neuronal exosomes was a particularly sensitive biomarker for distinguishing between PD and MSA. Combining this ratio with the α-syn concentration itself and the total exosome concentration, a multinomial logistic model trained on the discovery cohort separated PD from MSA with an AUC = 0.902, corresponding to 89.8% sensitivity and 86.0% specificity when applied to the independent validation cohort. The data demonstrate that a minimally invasive blood test measuring α-syn in blood exosomes immunoprecipitated using CNS markers can distinguish between patients with PD and patients with MSA with high sensitivity and specificity. Future optimization and validation of the data by other groups would allow this strategy to become a viable diagnostic test for synucleinopathies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.