Protein-based classifier to predict conversion from clinically isolated syndrome to multiple sclerosis

Borrás, Eva; Cantó, Ester; Choi, Meena; Villar, Luisa Maria; Álvarez Cermeño, Jose Carlos; Chiva, Cristina; Montalbán Gairín, Xavier; Vitek, Olga; Comabella López, Manuel; Sabidó Aguadé, Eduard, 1981-

Protein-based classifier to predict conversion from clinically isolated syndrome to multiple sclerosis

Mostra el registre complet Registre parcial de l'ítem

dc.contributor.author Borrás, Evaca
dc.contributor.author Cantó, Esterca
dc.contributor.author Choi, Meenaca
dc.contributor.author Villar, Luisa Mariaca
dc.contributor.author Álvarez Cermeño, Jose Carlosca
dc.contributor.author Chiva, Cristinaca
dc.contributor.author Montalbán Gairín, Xavierca
dc.contributor.author Vitek, Olgaca
dc.contributor.author Comabella López, Manuelca
dc.contributor.author Sabidó Aguadé, Eduard, 1981-ca
dc.date.accessioned 2016-06-15T13:42:04Z
dc.date.available 2017-02-01T03:00:03Z
dc.date.issued 2016
dc.description.abstract Multiple sclerosis is an inflammatory, demyelinating, and neurodegenerative disease of the central nervous system. In most patients, the disease initiates with an episode of neurological disturbance referred to as clinically isolated syndrome, but not all patients with this syndrome develop multiple sclerosis over time, and currently, there is no clinical test that can conclusively establish whether a patient with a clinically isolated syndrome will eventually develop clinically defined multiple sclerosis. Here, we took advantage of the capabilities of targeted mass spectrometry to establish a diagnostic molecular classifier with high sensitivity and specificity able to differentiate between clinically isolated syndrome patients with a high and a low risk of developing multiple sclerosis. Based on the combination of abundances of proteins chitinase 3-like 1 and ala-β-his-dipeptidase in cerebrospinal fluid, we built a statistical model able to assign to each patient a precise probability of conversion to clinically defined multiple sclerosis. Our results are of special relevance for patients affected by multiple sclerosis as early treatment can prevent brain damage and slow down the disease progression.ca
dc.description.sponsorship This work was supported by a grant from the “Fondo de Investigación Sanitaria” (FIS) (grant number PI09/00788), Ministry of Science and Innovation, Spain. E.C. was supported by a contract from the FIS (contract number FI 09/00705), Ministry of Science and Innovation, Spain.
dc.format.mimetype application/pdfca
dc.identifier.citation Borràs E, Cantó E, Choi M, Maria Villar L, Álvarez-Cermeño JC, Chiva C et al. Protein-based classifier to predict conversion from clinically isolated syndrome to multiple sclerosis. Molecular & cellular proteomics. 2016; 15(1): 318-328. DOI 10.1074/mcp.M115.053256ca
dc.identifier.doi http://dx.doi.org/10.1074/mcp.M115.053256
dc.identifier.issn 1535-9476
dc.identifier.uri http://hdl.handle.net/10230/26919
dc.language.iso engca
dc.publisher American Society for Biochemistry and Molecular Biology (ASBMB)ca
dc.relation.ispartof Molecular & cellular proteomics. 2016; 15(1): 318-328
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.subject.other Esclerosi múltipleca
dc.title Protein-based classifier to predict conversion from clinically isolated syndrome to multiple sclerosisca
dc.type info:eu-repo/semantics/articleca
dc.type.version info:eu-repo/semantics/publishedVersionca

Col·leccions

Articles (Center for Genomic Regulation (CRG))
Articles (Departament de Medicina i Ciències de la Vida)