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dc.contributor.authorGonzalo-Calvo, David de-
dc.contributor.authorVilades, David-
dc.contributor.authorMartínez-Camblor, Pablo-
dc.contributor.authorVea, Ángela-
dc.contributor.authorFerrero-Gregori, Andreu-
dc.contributor.authorNasarre, Laura-
dc.contributor.authorBornachea, Olga-
dc.contributor.authorSanchez Vega, J.-
dc.contributor.authorLeta, Rubén-
dc.contributor.authorPuig, Núria-
dc.contributor.authorBenítez, Sonia-
dc.contributor.authorSánchez-Quesada, José Luís-
dc.contributor.authorCarreras, Francesc-
dc.contributor.authorLlorente-Cortés, Vicenta-
dc.date.accessioned2019-06-28T06:40:40Z-
dc.date.available2019-06-28T06:40:40Z-
dc.date.issued2019-06-01-
dc.identifier.citationJournal of Clinical Medicine 8(6): 780 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/185043-
dc.description.abstractEpicardial adipose tissue (EAT) constitutes a novel parameter for cardiometabolic risk assessment and a target for therapy. Here, we evaluated for the first time the plasma microRNA (miRNA) profile as a source of biomarkers for epicardial fat volume (EFV). miRNAs were profiled in plasma samples from 180 patients whose EFV was quantified using multidetector computed tomography. In the screening study, 54 deregulated miRNAs were identified in patients with high EFV levels (highest tertile) compared with matched patients with low EFV levels (lowest tertile). After filtering, 12 miRNAs were selected for subsequent validation. In the validation study, miR-15b-3p, miR-22-3p, miR-148a-3p miR-148b-3p and miR-590-5p were directly associated with EFV, even after adjustment for confounding factors (p value < 0.05 for all models). The addition of miRNA combinations to a model based on clinical variables improved the discrimination (area under the receiver-operating-characteristic curve (AUC) from 0.721 to 0.787). miRNAs correctly reclassified a significant proportion of patients with an integrated discrimination improvement (IDI) index of 0.101 and a net reclassification improvement (NRI) index of 0.650. Decision tree models used miRNA combinations to improve their classification accuracy. These results were reproduced using two proposed clinical cutoffs for epicardial fat burden. Internal validation corroborated the robustness of the models. In conclusion, plasma miRNAs constitute novel biomarkers of epicardial fat burden.-
dc.description.sponsorshipD.d.G.-C. was a recipient of a Juan de la Cierva-Incorporación grant from the Ministerio de Economía y Competitividad (IJCI-2016-29393). O.B. (Project 201521-10) and N.P. (Project 201716) were recipients of Fundació Marató TV3. S.B. and J.L.S.-Q. (2017-SGR-1149) and D.d.G.-C., L.N., À.V., D.V., R.L. and V.L.-C. (2017-SGR-946) are members of Quality Research Groups from Generalitat de Catalunya. S.B., J.L.S.-Q., N.P., V.L.-C. and D.d.G.-C. are members of the Group of Vascular Biology of the Spanish Society of Atherosclerosis (SEA). This work was funded by FIS PI14/01729 (to V.L.-C.), FIS PI16/00471 (to J.L.S.-Q.) & FIS PI18/01584 (to V.L.-C.) grants from Instituto Salud Carlos III, co-financed by the European Fund for Regional Development (EFRD) and by Project 201521-10 from Fundació MARATÓ TV3 (to V.L.-C.). CIBERCV (CB16/11/00403 to V.L.-C. and D.d.G.-C. and CB16/11/00276 to A.F.-G.) and CIBERDEM (CB07/08/0016 to J.L.S.-Q.) are projects from Instituto de Salud Carlos III.-
dc.publisherMultidisciplinary Digital Publishing Institute-
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/IJCI-2016-29393-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectBiomarkers-
dc.subjectCardiometabolic diseases-
dc.subjectEpicardial adipose tissue-
dc.subjectEpicardial fat-
dc.subjectEpicardial fat volume-
dc.subject.otherMicroRNA-
dc.titlePlasma microRNA profiling reveals novel biomarkers of epicardial adipose tissue: A multidetector computed tomography study-
dc.typeartículo-
dc.identifier.doi10.3390/jcm8060780-
dc.description.peerreviewedPeer reviewed-
dc.relation.publisherversionhttps://doi.org/10.3390/jcm8060780-
dc.identifier.e-issn2077-0383-
dc.date.updated2019-06-28T06:40:40Z-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderFundació La Marató de TV3-
dc.contributor.funderInstituto de Salud Carlos III-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004587es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100008666es_ES
dc.contributor.orcidGonzalo-Calvo, David de [0000-0003-2240-3532]-
dc.contributor.orcidMartínez-Camblor, Pablo [0000-0001-7845-3905]-
dc.identifier.pmid31159404-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
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