Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/21445
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dc.contributor.authorPsihogios, N. G.en
dc.contributor.authorGazi, I. F.en
dc.contributor.authorElisaf, M. S.en
dc.contributor.authorSeferiadis, K. I.en
dc.contributor.authorBairaktari, E. T.en
dc.date.accessioned2015-11-24T19:15:04Z-
dc.date.available2015-11-24T19:15:04Z-
dc.identifier.issn0952-3480-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/21445-
dc.rightsDefault Licence-
dc.subjectAdulten
dc.subjectAge Factorsen
dc.subjectAgeden
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectMaleen
dc.subject*Metabolismen
dc.subjectMiddle Ageden
dc.subjectModels, Statisticalen
dc.subjectMultivariate Analysisen
dc.subject*Nuclear Magnetic Resonance, Biomolecularen
dc.subjectReference Valuesen
dc.subjectReproducibility of Resultsen
dc.subjectSex Factorsen
dc.subjectSmokingen
dc.subjectUrinalysis/*methodsen
dc.subjectUrine/*chemistryen
dc.titleGender-related and age-related urinalysis of healthy subjects by NMR-based metabonomicsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1002/nbm.1176-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/17474139-
heal.identifier.secondaryhttp://onlinelibrary.wiley.com/doi/10.1002/nbm.1176/abstract-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate2008-
heal.abstractNMR-based metabonomic analysis is a well-established approach to characterizing healthy and diseased states. The aim of this study was to investigate inter-individual variability in the metabolic urinary profile of a healthy Greek population, not subjected to strict dietary limitations, by NMR-based metabonomics. The overall metabonomic urinalysis showed a homogeneous distribution among the population. The metabolic profile was examined in relation to gender and age, and reference intervals of major metabolites were determined. Multivariate data analysis led to the construction of two robust models that were able to predict the class membership of the subjects studied according to their gender and age. The most influential low molecular weight metabolites responsible for the differences in gender groups were citrate, creatinine, trimethylamine N-oxide, glycine, creatine and taurine, and for the differences in age groups they were citrate, creatinine, trimethylamine N-oxide and an unidentified metabolite (delta 3.78).en
heal.journalNameNMR Biomeden
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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