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dc.contributor.authorGarcia-Silva, Victor Manuel
dc.contributor.authorChicano-Galvez, Eduardo
dc.contributor.authorGarcia-Sanchez, María Isabel
dc.contributor.authorPeralbo-Molina, Ángela
dc.contributor.authorHernández Valladares, María del Carmen
dc.date.accessioned2026-01-07T08:35:01Z
dc.date.available2026-01-07T08:35:01Z
dc.date.issued2025-12-22
dc.identifier.citationGarcía-Silva VM, Chicano-Galvez E, García-Sánchez MI, Peralbo-Molina Á, Hernández-Valladares M. Identification of diagnostic biomarkers for relapsing-remitting multiple sclerosis in plasma by mass spectrometry-based proteomics. J Neuropathol Exp Neurol. 2025 Dec 22:nlaf145. doi: 10.1093/jnen/nlaf145. Epub ahead of printes_ES
dc.identifier.issn0022-3069
dc.identifier.issn1554-6578
dc.identifier.urihttps://hdl.handle.net/10481/109215
dc.descriptionThis study received financial support from the University of Granada (Program 18 of the University’s own funding plan). The sponsor was not involved in the design, collection, analysis, or interpretation of data included in the study, in the writing of the manuscript, or in the decision to submit for publication. Funding for open access charge: Universidad de Granada / CBUA.es_ES
dc.description.abstractIn the absence of molecular biomarkers, the current diagnosis of multiple sclerosis is based on clinical assessment, neuroimaging, and detection of oligoclonal bands in cerebrospinal fluid. Early and rapid diagnosis using patient samples obtained by non-invasive methods would be a major advance in clinical management. We tested 5 different methods for preparation of the plasma proteome for liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis. These were as follows: (1) single-pot, solid-phase-enhanced sample preparation (SP3), (2) iST and (3) ENRICH-iST of raw plasma, (4) SP3 of highly abundant-proteins depleted plasma (DEPL-SP3), and (5) SP3 of plasma extracellular vesicles (EV-SP3). DEPL-SP3 and EV-SP3 sample preparation workflows yielded the highest numbers of quantified plasma proteins. Using both methods, we analyzed the plasma proteome of 15 relapsing-remitting multiple sclerosis (RRMS) patients and 5 healthy controls. We found 54 and 35 regulated plasma proteins with DEPL-SP3 and EV-SP3 workflows, respectively. Among them, von Villebrand factor (VWF) was identified as a potential RRMS diagnostic biomarker. The use of sample preparation workflows for LC-MS/MS analysis that describe both the soluble and EV plasma proteomes might increase the likelihood of identifying new and robust RRMS biomarkers.es_ES
dc.description.sponsorshipUniversity of Granada, program 18 of the own funding planes_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Granada / CBUAes_ES
dc.language.isoenges_ES
dc.publisherOxford University Presses_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectBiomarkeres_ES
dc.subjectExtracellular vesicleses_ES
dc.subjectMass spectrometry es_ES
dc.titleIdentification of diagnostic biomarkers for relapsing-remitting multiple sclerosis in plasma by mass spectrometry-based proteomicses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1093/jnen/nlaf145
dc.type.hasVersionVoRes_ES


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