Non-targeted LC-MS/MS assay for screening over 100 lipid mediators from ARA, EPA, and DHA in biological samples based on mass spectral fragmentations

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Química Analítica, Nutrición e Bromatoloxíagl
dc.contributor.authorDasilva Alonso, Gabriel
dc.contributor.authorMuñoz Santiago, Silvia
dc.contributor.authorLois Romero, Salomé
dc.contributor.authorMedina Méndez, María Isabel
dc.date.accessioned2020-04-05T10:01:29Z
dc.date.available2020-04-05T10:01:29Z
dc.date.issued2019
dc.description.abstractA non-targeted strategy to simultaneously screen for over 100 lipid mediators from ω-6 ARA and ω-3 EPA and DHA fatty acids is presented. The method based on an extensive study of fragmentation patterns obtained by SPE-LC-MS/MS analysis-provided fingerprints to comprehensively elucidate and identify lipid mediators in biological samples. Many of these metabolites are associated to metabolic disorders, inflammatory, immune and oxidative stress. The methodology consisted of a three-step procedure. (1) SPE extraction of compounds from plasma and adipose tissue was followed by LC-MS/MS analysis operating in full scan mode. The methodology was validated for a group of 65 metabolites using standards. SPE recoveries ranged from 29–134% and matrix effect from 10–580%. LOD and LOQ ranged from 0.01 to 1765 ng/mL and 0.03 to 5884 ng/mL respectively, similarly than current analytical strategies based on MRM mode. (2) An extensive study of the mass spectra of a wide range of compounds was done to stablish a specific fragmentation pattern. Interestingly, illustrative fragmentations and new specific transitions to identify EPA and DHA lipid mediators have been innovatively established. (3) After analysis, 30 lipid mediators were tentatively identified in plasma and 35 in adipose tissue of rats according to the pre stablished fragmentation patterns. The hypothetical identification of compounds was validated by using reference standards. Around 85–90% of proposed identifications were correctly assigned and only 4 and 3 identifications failed in adipose tissue and plasma, respectively. The method allowed the identification of these metabolites without losing information by the use of predefined ions list. Therefore, the use of full scan mode together with the study of fragmentation patterns provided a novel and stronger analytical tool to study the complete profile of lipid mediators in biological samples than the analysis through MRM based methods. Importantly, no analytical standards were required at this qualitative screening stage and the performance and sensitivity of the assay were very similar to that of a MRM method.gl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis research was funded by the Spanich Ministerio de Economía y Competitividad (MINECO), grant number: AGL2013-49079-C2-1.2-Rgl
dc.identifier.citationDasilva, G.; Muñoz, S.; Lois, S.; Medina, I. Non-Targeted LC-MS/MS Assay for Screening Over 100 Lipid Mediators from ARA, EPA, and DHA in Biological Samples Based on Mass Spectral Fragmentations. Molecules 2019, 24, 2276gl
dc.identifier.doi10.3390/molecules24122276
dc.identifier.essn1420-3049
dc.identifier.urihttp://hdl.handle.net/10347/21166
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.publisherversionhttps://doi.org/10.3390/molecules24122276gl
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLipid mediatorsgl
dc.subjectω-3 and ω-6 PUFAsgl
dc.subjectNon-targeted analysisgl
dc.subjectFragmentation patternsgl
dc.titleNon-targeted LC-MS/MS assay for screening over 100 lipid mediators from ARA, EPA, and DHA in biological samples based on mass spectral fragmentationsgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication

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