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dc.contributor.authorMarina Alegre, María Luisa 
dc.contributor.authorSánchez López, Elena 
dc.contributor.authorBernardo Bermejo, Samuel 
dc.contributor.authorCastro Puyana, María 
dc.contributor.authorBenito Martínez, Selma 
dc.contributor.authorLucio Cazaña, Francisco Javier de 
dc.date.accessioned2019-10-29T08:27:26Z
dc.date.available2019-10-29T08:27:26Z
dc.date.issued2019-07-05
dc.identifier.bibliographicCitationJournal of Chromatography A, 2019, v. 1596, p. 124-133en
dc.identifier.issn0021-967
dc.identifier.urihttp://hdl.handle.net/10017/39807en
dc.descriptionhttps://www.sciencedirect.com/science/article/pii/S002196731930247X?via%3Dihuben
dc.description.abstractDiabetes mellitus is a major health concern nowadays. It is estimated that 40 % of diabetics are affected by diabetic nephropathy, one of the complications derived from high glucose blood levels which can lead to chronic loss of kidney function. It is now clear that the renal proximal tubule plays a critical role in the progression of diabetic nephropathy but research focused on studying the molecular mechanisms involved is still needed. The aim of this work was to develop a liquid chromatography-mass spectrometry platform to carry out, for the first time, the untargeted metabolomic analysis of high glucose-induced changes in cultured human proximal tubular HK-2 cells. In order to find the metabolites which were affected by high glucose and to expand the metabolite coverage, intra- and extracellular fluid from HK-2 cells exposed to high glucose (25 mM), normal glucose (5.5 mM) or osmotic control (5.5 mM glucose + 19.5 mM mannitol) were analyzed by two complementary chromatographic modes: hydrophilic interaction and reversed-phase liquid chromatography. Non-supervised principal components analysis showed a good distribution among the three groups of samples. Statistically significant variables were chosen for further metabolite identification. Different metabolic pathways were affected mainly those derived from amino acidic, polyol, and nitrogenous bases metabolism.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en
dc.rights© 2019 Elsevieren
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectdiabetic nephropathyen
dc.subjectHK-2 cellsen
dc.subjectliquid chromatography-mass spectrometryen
dc.subjectmetabolomicsen
dc.subjectmultivariate analysisen
dc.titleAn untargeted metabolomic strategy based on liquid chromatography-mass spectrometry to study high glucose-induced changes in HK-2 cellsen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaQuímicaes_ES
dc.subject.ecienciaChemistryen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería Química
dc.date.updated2019-10-29T08:26:27Z
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doihttps://doi.org/10.1016/j.chroma.2019.03.009en
dc.relation.projectIDCTQ2016-76368-P (Ministry of Economy and Competitiveness (Spain))en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000030260en
dc.identifier.publicationtitleJournal of Chromatography Aen
dc.identifier.publicationvolume1596
dc.identifier.publicationlastpage133
dc.identifier.publicationfirstpage124


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