Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/111898
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dc.contributor.authorCano, Ainaraen_US
dc.contributor.authorAlcalde, Carlosen_US
dc.contributor.authorBelanger-Quintana, Amayaen_US
dc.contributor.authorCañedo-Villarroya, Elviraen_US
dc.contributor.authorCeberio, Leticiaen_US
dc.contributor.authorChumillas-Calzada, Silviaen_US
dc.contributor.authorCorrecher, Patriciaen_US
dc.contributor.authorCouce, María Luzen_US
dc.contributor.authorGarcía-Arenas, Doloresen_US
dc.contributor.authorGómez, Igoren_US
dc.contributor.authorHernández, Tomásen_US
dc.contributor.authorIzquierdo-García, Elsaen_US
dc.contributor.authorChicano, Dámaris Martínezen_US
dc.contributor.authorMorales, Montserraten_US
dc.contributor.authorPedrón-Giner, Consueloen_US
dc.contributor.authorJáuregui, Estrella Petrinaen_US
dc.contributor.authorPeña Quintana, Luisen_US
dc.contributor.authorSánchez-Pintos, Paulaen_US
dc.contributor.authorSerrano-Nieto, Julianaen_US
dc.contributor.authorSuarez, María Uncetaen_US
dc.contributor.authorMiñana, Isidro Vitoriaen_US
dc.contributor.authorde las Heras, Javieren_US
dc.date.accessioned2021-09-23T17:11:10Z-
dc.date.available2021-09-23T17:11:10Z-
dc.date.issued2021en_US
dc.identifier.issn2077-0383en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/111898-
dc.description.abstractHereditary Fructose Intolerance (HFI) is an autosomal recessive inborn error of metabolism characterised by the deficiency of the hepatic enzyme aldolase B. Its treatment consists in adopting a fructose-, sucrose-, and sorbitol (FSS)-restrictive diet for life. Untreated HFI patients present an abnormal transferrin (Tf) glycosylation pattern due to the inhibition of mannose-6-phosphate isomerase by fructose-1-phosphate. Hence, elevated serum carbohydrate-deficient Tf (CDT) may allow the prompt detection of HFI. The CDT values improve when an FSS-restrictive diet is followed; however, previous data on CDT and fructose intake correlation are inconsistent. Therefore, we examined the complete serum sialoTf profile and correlated it with FSS dietary intake and with hepatic parameters in a cohort of paediatric and adult fructosemic patients. To do so, the profiles of serum sialoTf from genetically diagnosed HFI patients on an FSS-restricted diet (n = 37) and their age-, sex-and body mass index-paired controls (n = 32) were analysed by capillary zone electrophoresis. We found that in HFI patients, asialoTf correlated with dietary intake of sucrose (R = 0.575, p < 0.001) and FSS (R = 0.475, p = 0.008), and that pentasialoTf+hexasialoTf negatively correlated with dietary intake of fructose (R = −0.386, p = 0.024) and FSS (R = −0.400, p = 0.019). In addition, the tetrasialoTf/disialoTf ratio truthfully differentiated treated HFI patients from healthy controls, with an area under the ROC curve (AUROC) of 0.97, 92% sensitivity, 94% specificity and 93% accuracy.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Clinical Medicineen_US
dc.sourceJournal of Clinical Medicine [EISSN 2077-0383], v. 10 (13), 2932, (Julio 2021)en_US
dc.subject32 Ciencias médicasen_US
dc.subject3206 Ciencias de la nutriciónen_US
dc.subject320110 Pediatríaen_US
dc.subject.otherAldolase Ben_US
dc.subject.otherBiomarkeren_US
dc.subject.otherDieten_US
dc.subject.otherFructoseen_US
dc.subject.otherHereditary Fructose Intoleranceen_US
dc.subject.otherSialotransferrin Profileen_US
dc.subject.otherSorbitolen_US
dc.subject.otherSucroseen_US
dc.titleTransferrin isoforms, old but new biomarkers in hereditary fructose intoleranceen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/jcm10132932en_US
dc.identifier.scopus85114067986-
dc.contributor.orcidNO DATA-
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dc.contributor.authorscopusid57226868864-
dc.contributor.authorscopusid55190067600-
dc.contributor.authorscopusid6602210294-
dc.contributor.authorscopusid14051621600-
dc.contributor.authorscopusid55188561400-
dc.contributor.authorscopusid57203680243-
dc.contributor.authorscopusid57202744097-
dc.contributor.authorscopusid7003683107-
dc.contributor.authorscopusid56913379700-
dc.contributor.authorscopusid57242442500-
dc.contributor.authorscopusid57211160824-
dc.contributor.authorscopusid6504657236-
dc.contributor.authorscopusid57219779083-
dc.contributor.authorscopusid57225786180-
dc.contributor.authorscopusid56108939500-
dc.contributor.authorscopusid57242217700-
dc.contributor.authorscopusid6603266503-
dc.contributor.authorscopusid56007097200-
dc.contributor.authorscopusid36926336800-
dc.contributor.authorscopusid57218867699-
dc.contributor.authorscopusid6505827620-
dc.contributor.authorscopusid35739838900-
dc.identifier.eissn2077-0383-
dc.identifier.issue13-
dc.relation.volume10en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Biomarkers in Genetic Metabolic Disordersen_US
dc.description.numberofpages14en_US
dc.utils.revisionen_US
dc.date.coverdateJulio 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr1,04
dc.description.jcr4,964
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds10,5
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IUIBS: Nutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.orcid0000-0001-6052-5894-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNamePeña Quintana, Luis-
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