Metabolomics reveals metabolite changes in acute pulmonary embolism .

dc.centroUniversidad San Pablo-CEU
dc.contributor.authorBujak, Renata
dc.contributor.authorBarbas Arribas, Coral
dc.contributor.authorGarcía Álvarez, Ana
dc.contributor.authorRupérez Pascualena, Francisco Javier
dc.contributor.authorNuño Ayala, Mario
dc.contributor.authorRuiz Cabello, Jesús
dc.contributor.authorIbáñez, Borja
dc.contributor.authorGarcía Fernández, Antonia
dc.date2014es
dc.date.accessioned2015-09-16T04:00:13Z
dc.date.available2015-09-16T04:00:13Z
dc.date.issued2014-09-16
dc.descriptionArtículo en colaboración con : Renata Bujak , Ana García-Álvarez, Francisco J. Rupérez, Mario Nuño-Ayala, Antonia García, Jesus Ruiz-Cabello, Valentín Fuster, Borja Ibáñezes
dc.descriptionEn: Journal of Proteome Research. ESSN. 1535-3907. 2014, 11:518-528, doi: 10.1021/pr400872jes
dc.description.abstractPulmonary embolism (PE) is a common cardiovascular emergency which can lead to pulmonary hypertension (PH) and right ventricular failure as a consequence of pulmonary arterial bed occlusion. The diagnosis of PE is challenging due to non-specific clinical presentation what results in relatively high mortality. Moreover, the pathological factors associated with PE are poorly understood. Metabolomics can provide with new highlights which can help in the understanding of the processes and even propose biomarkers for its diagnosis. In order to obtain more information about PE and PH, acute PE was induced in large white pigs and plasma was obtained before and after induction of PE. Metabolic fingerprints from plasma were obtained with LC-QTOF-MS (positive and negative ionization) and GC-Q-MS. Data pretreatment and statistical analysis (uni- and multivariate) was performed in order to compare metabolic fingerprints and to select the metabolites that showed higher loading for the classification (28 from LC and 19 from GC). The metabolites found differentially distributed among groups are mainly related to energy imbalance in hypoxic conditions, such as glycolysis-derived metabolites, ketone bodies, and TCA cycle intermediates, as well as a group of lipidic mediators that could be involved in the transduction of the signals to the cells such as sphingolipids and lysophospholipids, among others. Results presented in this report reveal that combination of LC−MS- and GC−MS-based metabolomics could be a powerful tool for diagnosis and understanding pathophysiological processes due to acute PE.en-EN
dc.description.versionPost-print del autores
dc.formatapplication/pdfes
dc.identifier000000624715es
dc.identifier.urihttp://hdl.handle.net/10637/7664
dc.language.isoenes
dc.relationFinanciado con cargo a proyectos de I+D nacional con referencia CTQ 2011-23562es
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectMetabolitos.es
dc.subjectMetabolomicsen-EN
dc.subjectMetabolic fingerprintingen-EN
dc.subjectPulmonary embolismen-EN
dc.subjectPulmonary hypertensionen-EN
dc.subjectPicen-EN
dc.titleMetabolomics reveals metabolite changes in acute pulmonary embolism .es
dc.typeArtículoes
dspace.entity.typePublicationes
europeana.dataProviderUNIVERSIDAD SAN PABLO CEU
europeana.isShownAthttp://hdl.handle.net/10637/7664
europeana.objecthttp://repositorioinstitucional.ceu.es/visor/libros/624715/thumb_europeana/624715.jpg
europeana.providerHispana
europeana.rightshttp://creativecommons.org/publicdomain/zero/1.0/
europeana.typeTEXT
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