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Auteur Milena LUSSU |
Documents disponibles écrits par cet auteur (1)
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The urinary 1H-NMR metabolomics profile of an italian autistic children population and their unaffected siblings / Milena LUSSU in Autism Research, 10-6 (June 2017)
[article]
Titre : The urinary 1H-NMR metabolomics profile of an italian autistic children population and their unaffected siblings Type de document : Texte imprimé et/ou numérique Auteurs : Milena LUSSU, Auteur ; Antonio NOTO, Auteur ; Alice MASILI, Auteur ; Andrea C. RINALDI, Auteur ; Angelica DESSÌ, Auteur ; Maria DE ANGELIS, Auteur ; Andrea DE GIACOMO, Auteur ; Vassilios FANOS, Auteur ; Luigi ATZORI, Auteur ; Ruggiero FRANCAVILLA, Auteur Article en page(s) : p.1058-1066 Langues : Anglais (eng) Mots-clés : metabolomics autistic children siblings biomarkers Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) make a dishomogeneous group of psychiatric diseases having either genetic and environmental components, including changes of the microbiota. The rate of diagnosis, based on a series of psychological tests and observed behavior, dramatically increased in the past few decades. Currently, no biological markers are available and the pathogenesis is not defined. The purpose of this study was to evaluate the potential use of 1H-NMR metabolomics to analyze the global biochemical signature of ASD patients (n?=?21) and controls (n?=?21), these being siblings of autistic patients. A multivariate model has been used to extrapolate the variables of importance. The discriminating urinary metabolites were identified; in particular, significantly increased levels of hippurate, glycine, creatine, tryptophan, and d-threitol and decreased concentrations of glutamate, creatinine, lactate, valine, betaine, and taurine were observed in ASD patients. Based on the identified discriminant metabolites, the attention was focused on two possible mechanisms that could be involved in ASD: oxidative stress conditions and gut microflora modifications. In conclusion, nuclear magnetic resonance-based metabolomics analysis of the urine seems to have the potential for the identification of a metabolic fingerprint of ASD phenotypes and appears to be suitable for further investigation of the disease mechanisms. En ligne : http://dx.doi.org/10.1002/aur.1748 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=309
in Autism Research > 10-6 (June 2017) . - p.1058-1066[article] The urinary 1H-NMR metabolomics profile of an italian autistic children population and their unaffected siblings [Texte imprimé et/ou numérique] / Milena LUSSU, Auteur ; Antonio NOTO, Auteur ; Alice MASILI, Auteur ; Andrea C. RINALDI, Auteur ; Angelica DESSÌ, Auteur ; Maria DE ANGELIS, Auteur ; Andrea DE GIACOMO, Auteur ; Vassilios FANOS, Auteur ; Luigi ATZORI, Auteur ; Ruggiero FRANCAVILLA, Auteur . - p.1058-1066.
Langues : Anglais (eng)
in Autism Research > 10-6 (June 2017) . - p.1058-1066
Mots-clés : metabolomics autistic children siblings biomarkers Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) make a dishomogeneous group of psychiatric diseases having either genetic and environmental components, including changes of the microbiota. The rate of diagnosis, based on a series of psychological tests and observed behavior, dramatically increased in the past few decades. Currently, no biological markers are available and the pathogenesis is not defined. The purpose of this study was to evaluate the potential use of 1H-NMR metabolomics to analyze the global biochemical signature of ASD patients (n?=?21) and controls (n?=?21), these being siblings of autistic patients. A multivariate model has been used to extrapolate the variables of importance. The discriminating urinary metabolites were identified; in particular, significantly increased levels of hippurate, glycine, creatine, tryptophan, and d-threitol and decreased concentrations of glutamate, creatinine, lactate, valine, betaine, and taurine were observed in ASD patients. Based on the identified discriminant metabolites, the attention was focused on two possible mechanisms that could be involved in ASD: oxidative stress conditions and gut microflora modifications. In conclusion, nuclear magnetic resonance-based metabolomics analysis of the urine seems to have the potential for the identification of a metabolic fingerprint of ASD phenotypes and appears to be suitable for further investigation of the disease mechanisms. En ligne : http://dx.doi.org/10.1002/aur.1748 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=309