Search results for "métabolome"

showing 2 items of 2 documents

Associations between food consumption patterns and saliva composition: Specificities of eating difficulties children

2017

Identifying objective markers of dietwould be beneficial to research fields such as nutritional epidemiology. As a preliminary study on the validity of using saliva for this purpose, and in order to explore the relationship between saliva and diet, we focused on clearly contrasted groups of children: children with eating difficulties (ED) receiving at least 50% of their energy intake through artificial nutrition vs healthy controls (C). Saliva of ED and C children was analyzed by various methods (targeted biochemical analyses, 2-D electrophoresis coupled to MS, 1H NMR) and their diet was characterized using food frequency questionnaires, considering 148 food items grouped into 13 categories…

0301 basic medicineMaleSaliva[SDV]Life Sciences [q-bio]carbonic anhydraseBehavioral NeuroscienceTandem Mass Spectrometryalimentation de l'enfantSurveys and Questionnaireshuman feedingAmylaseFood scienceChildprotéomeCarbonic Anhydrases2. Zero hungerbiologycomportement alimentaireHaptoglobinFood selectivitysalivationChild Preschoolfood consumptionFemalealimentation humaineconsommation alimentaireExperimental and Cognitive Psychologyfood habitsFeeding and Eating Disorders03 medical and health sciencesFood Preferencessalivary biomarkerscomposition de la saliveMultiple factor analysisHumansSalivaanhydrase carboniquemétabolome[ SDV ] Life Sciences [q-bio]Nutritional epidemiologyFood Consumption PatternsFeeding Behaviordietary behavior030104 developmental biologySaliva compositionproteome Metabolome Salivary biomarkersSpectrometry Mass Matrix-Assisted Laser Desorption-Ionizationbiology.proteinMuramidaseEnergy Intakedietsécrétion salivaire
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Metabolomics Study of Urine in Autism Spectrum Disorders Using a Multiplatform Analytical Methodology

2015

International audience; Autism spectrum disorder (ASD) is a neurodevelopmental disorder with no clinical biomarker. The aims of this study were to characterize a metabolic signature of ASD and to evaluate multiplatform analytical methodologies in order to develop predictive tools for diagnosis and disease follow-up. Urine samples were analyzed using (1)H and (1)H-(13)C NMR-based approaches and LC-HRMS-based approaches (ESI+ and ESI- on HILIC and C18 chromatography columns). Data tables obtained from the six analytical modalities on a training set of 46 urine samples (22 autistic children and 24 controls) were processed by multivariate analysis (orthogonal partial least-squares discriminant …

MaleMagnetic Resonance SpectroscopyMultivariate analysisAutism Spectrum DisorderBiochemistrychemistry.chemical_compoundNeurodevelopmental disorderMedicineChildComputingMilieux_MISCELLANEOUSChromatographyLiquideducation.field_of_studyElectrospray IonizationSettore MED/39 - Neuropsichiatria InfantilePhenylacetylglutamineAutism spectrum disorderChild PreschoolMetabolomeAmino acidsFemale[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Metabolic Networks and PathwaysSpectrometry Mass Electrospray IonizationAdolescentPopulationComputational biologyHumansMetabolomicsPreschooleducationmétabolomeChromatographyReceiver operating characteristicSpectrometrybusiness.industrymetabolomics autism spectrum disorder ASD NMR LC−HRMS data fusionGeneral ChemistryMassmedicine.diseaseLinear discriminant analysischemistryCase-Control StudiesMultivariate AnalysisAutismbusinessBiomarkers[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyChromatography LiquidJournal of Proteome Research
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