Profiling Inflammatory Extracellular Vesicles in Plasma and Cerebrospinal Fluid: An Optimized Diagnostic Model for Parkinson's Disease.

Vacchi, Elena; Burrello, Jacopo; Burrello, Alessio; Bolis, Sara; Monticone, Silvia; Barile, Lucio; Kaelin-Lang, Alain; Melli, Giorgia (2021). Profiling Inflammatory Extracellular Vesicles in Plasma and Cerebrospinal Fluid: An Optimized Diagnostic Model for Parkinson's Disease. Biomedicines, 9(3) MDPI 10.3390/biomedicines9030230

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Extracellular vesicles (EVs) play a central role in intercellular communication, which is relevant for inflammatory and immune processes implicated in neurodegenerative disorders, such as Parkinson's Disease (PD). We characterized and compared distinctive cerebrospinal fluid (CSF)-derived EVs in PD and atypical parkinsonisms (AP), aiming to integrate a diagnostic model based on immune profiling of plasma-derived EVs via artificial intelligence. Plasma- and CSF-derived EVs were isolated from patients with PD, multiple system atrophy (MSA), AP with tauopathies (AP-Tau), and healthy controls. Expression levels of 37 EV surface markers were measured by a flow cytometric bead-based platform and a diagnostic model based on expression of EV surface markers was built by supervised learning algorithms. The PD group showed higher amount of CSF-derived EVs than other groups. Among the 17 EV surface markers differentially expressed in plasma, eight were expressed also in CSF of a subgroup of PD, 10 in MSA, and 6 in AP-Tau. A two-level random forest model was built using EV markers co-expressed in plasma and CSF. The model discriminated PD from non-PD patients with high sensitivity (96.6%) and accuracy (92.6%). EV surface marker characterization bolsters the relevance of inflammation in PD and it underscores the role of EVs as pathways/biomarkers for protein aggregation-related neurodegenerative diseases.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Kaelin, Alain

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2227-9059

Publisher:

MDPI

Language:

English

Submitter:

Chantal Kottler

Date Deposited:

01 Feb 2022 14:51

Last Modified:

05 Dec 2022 16:02

Publisher DOI:

10.3390/biomedicines9030230

PubMed ID:

33669043

Uncontrolled Keywords:

Parkinson’s disease biomarkers cerebrospinal fluid extracellular vesicles machine learning multiple system atrophy neuroinflammation plasma tauopathies

BORIS DOI:

10.48350/164096

URI:

https://boris.unibe.ch/id/eprint/164096

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