Proteomics characterization of extracellular vesicles sorted by flow cytometry reveals a disease-specific molecular cross-talk from cerebrospinal fluid and tears in multiple sclerosis.
CSF
Extracellular vesicles
FACS sorting
Multiple sclerosis
Proteomics
Tears
Journal
Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056
Informations de publication
Date de publication:
30 07 2019
30 07 2019
Historique:
received:
25
03
2019
revised:
14
05
2019
accepted:
31
05
2019
pubmed:
7
6
2019
medline:
13
8
2020
entrez:
7
6
2019
Statut:
ppublish
Résumé
Several proteomics studies have been conducted to identify new cerebrospinal fluid (CSF) biomarkers in Multiple Sclerosis (MuS). However, the complexity of CSF and its invasive collection, limits its use. Therefore, the goal of biomarker research in MuS is to identify novel distinctive targets in CSF or in easily accessible biofluids. Tears represent an interesting matrix for this purpose, because (1) tears are related to the central nervous system (CNS) and (2) the CNS contains Extracellular Vesicles (EVs) derived from brain cells. These EVs are emerging new biomarkers associated to several neurological disorders. Here we applied an optimized flow cytometer for the identification and subtyping of EVs from CSF and tears. We found, for the first time, microglia-derived and neural-derived EVs in tears. The flow cytometer was used to sort and purify 10
Identifiants
pubmed: 31170500
pii: S1874-3919(19)30175-7
doi: 10.1016/j.jprot.2019.103403
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
103403Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.