Search results for "Metabolomics"

showing 10 items of 286 documents

Trace elements and plasma metabolomics in a general population from Spain: The Hortega Study

2021

Trace (semiology)education.field_of_studyMetabolomicsEnvironmental chemistryPopulationGeneral Earth and Planetary SciencesEnvironmental scienceeducationGeneral Environmental ScienceISEE Conference Abstracts
researchProduct

Metabolomics as a tool for the study of drug-induced hepatotoxicity

2015

Drug-induced liver injury (DILI) is a major health and economic problem and the leading cause of hepatic dysfunction, drug failure during clinical testing and post-market withdrawal of approved drugs. Pre-clinical testing should be able to detect potential hepatotoxins early in the drug development process in order to minimize health risks and financial losses. Several liver-derived in vitro models have been developed to be used in pharmacology and toxicology research to understand the mechanism of DILI and to evaluate potential hepatotoxicity of new chemical entities. Although they fail to reproduce the complexity of a whole organ, their low cost, high reproducibility, and the possibility …

UNESCO::CIENCIAS MÉDICAS ::Toxicología:QUÍMICA::Química analítica::Espectroscopía de masas [UNESCO]UNESCO::QUÍMICA::Química analítica::Espectroscopía de masashepatotoxicity:QUÍMICA::Química analítica::Análisis cromatográfico [UNESCO]UNESCO::QUÍMICA::BioquímicaUNESCO::QUÍMICA::Química analítica::Análisis cromatográfico:QUÍMICA::Bioquímica [UNESCO]metabolomics:CIENCIAS MÉDICAS ::Toxicología [UNESCO]lc-ms
researchProduct

A metabolomic study of yeast/bacteria interactions

2015

As a complex microbial ecosystem, wine is a particularly interesting model for studying interactions between microorganisms. Contact-independent interactions (indirect interactions) between the yeast Saccharomyces cerevisae and the lactic acid bacterium Oenococcus oeni have a direct effect on malolactic fermentation (MLF), induction and completion, which is an important factor in wine quality. Yeast strains could be classified as MLF+ phenotype if it usually stimulates the bacterial growth or MLF- in the opposite case. The known metabolites that stimulate or inhibit the MLF cannot always explain the phenotypic distinction. In this work, a multidisciplinary workflow combining non-targeted me…

UPLC-Q-TOF-MSWineBactérie lactiqueApprentissage automatique[SDV.IDA] Life Sciences [q-bio]/Food engineeringYeastMicrobial interactionInteraction microbienne[SDV.AEN] Life Sciences [q-bio]/Food and NutritionMachine learningVinLactic acid bacteriaMetabolomicsLevurePeptidesFT-ICR-MSMétabolomique
researchProduct

Retrospective analysis of pesticide metabolites in urine using liquid chromatography coupled to high-resolution mass spectrometry

2016

Abstract A comprehensive retrospective analysis of pesticide metabolites in urine was developed, using liquid chromatography coupled to Orbitrap high-resolution mass spectrometry (UHPLC-HRMS) that includes both post-run target (suspect screening) and non-target screening. An accurate-mass database comprising 263 pesticide metabolites was built and used for the post-run screening analysis. For non-target analysis, a “fragmentation-degradation” relationship strategy was selected. The proposed methodology was applied to 49 real urine samples from pregnant women. In the post-target analysis 26 pesticide metabolites were tentatively identified, 8 of which (2-diethylamino-6-methyl-pyrimidinol; 3-…

Urine010501 environmental sciencesMass spectrometryOrbitrap01 natural sciencesMass SpectrometryAnalytical Chemistrylaw.inventionchemistry.chemical_compoundMetabolomicsPregnancylawOxanilic acidRetrospective analysisHumansMetabolomicsPesticidesPropachlorChromatography High Pressure Liquid0105 earth and related environmental sciencesChromatography010401 analytical chemistryPesticide0104 chemical scienceschemistrySpainFemaleEnvironmental MonitoringTalanta
researchProduct

Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis

2013

Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance correlations. The evaluation of the predictive capabilities of PLSDA models estimated by cross-validation after feature selection provides overly optimistic results if the selection is performed on the entire set and no external validation set is available. In this work, a simulation of the statistical null hypothesis is proposed to test whether the discrimination capability of a PLSDA model after variable selection estimated by cross-validation is statistically higher than t…

Variable selectionESTADISTICA E INVESTIGACION OPERATIVAFeature selectionChance correlationsAnalytical ChemistrySet (abstract data type)ResamplingPartial least squares regressionStatisticsHumansMetabolomicsLeast-Squares AnalysisSelection (genetic algorithm)ProbabilityGaucher DiseaseModels StatisticalChemistryDiscriminant AnalysisReproducibility of ResultsPartial Least Squares-Discriminant Analysis (PLSDA)Linear discriminant analysisVariable (computer science)Null hypothesisAlgorithmsSoftware
researchProduct

Integrating analytical resolutions in non-targeted wine metabolomics

2015

Direct injection Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS), and ultra-high performance liquid chromatography coupled to mass spectrometry (UPLC/MS) were combined for the non-targeted analysis of wine metabolites. The unrivalled resolution on mass measurement allowed by the former and the separation ability of isomeric and isobaric substances by the latter, clearly increases the scope of detectable unknown metabolites in wines. Such methodology is illustrated through the comparison of chemical spaces of a young and an older Pinot noir wine. RP and HILIC chromatography could reveal up to five isomers for a given mass, throughout the explored mass range. CHO, CHOS …

WineChromatographyResolution (mass spectrometry)ChemistryHydrophilic interaction chromatographydigestive oral and skin physiologyOrganic Chemistryfood and beveragesMass spectrometryBiochemistryHigh-performance liquid chromatographyFourier transform ion cyclotron resonanceMetabolomicsDrug DiscoveryWine chemistryTetrahedron
researchProduct

Genomic and Proteomic Analysis of Wine Yeasts

2011

Publisher Summary Saccharomyces cerevisiae is the main microorganism involved in wine fermentation. It has been used as a model organism in molecular biology for many years and is the only wine yeast species for which abundant genomic and proteomic information is available. Most of the techniques currently used in functional genomics and proteomics were initially developed in this yeast. The fact that S. cerevisiae was the first microorganism to be widely used in the development of genome technology allowed other phylogenetically related yeasts to be analyzed subsequently in global sequencing projects, and the use of comparative genomics has since led to important conclusions regarding gene…

WineComparative genomicsFermentation in winemakingYeast in winemakingMetabolomicsbusiness.industrySystems biologyComputational biologyBiologyProteomicsbusinessFunctional genomicsBiotechnology
researchProduct

The chemodiversity of wines can reveal a metabologeography expression of cooperage oak wood

2009

Wine chemical compositions, which result from a complex interplay between environmental factors, genetic factors, and viticultural practices, have mostly been studied using targeted analyses of selected families of metabolites. Detailed studies have particularly concerned volatile and polyphenolic compounds because of their acknowledged roles in the organoleptic and therapeutic properties. However, we show that an unprecedented chemical diversity of wine composition can be unraveled through a nontargeted approach by ultrahigh-resolution mass spectrometry, which provides an instantaneous image of complex interacting processes, not easily or possibly resolvable into their unambiguous individu…

WineMultidisciplinaryChemistryOrganolepticfood and beveragesWineBiological SciencesWoodMass SpectrometryQuercusMetabolomicsChemical diversityBotanyHumansStatistical analysis
researchProduct

High precision mass measurements for wine metabolomics

2014

An overview of the critical steps for the non-targeted Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS) analysis of wine chemistry is given, ranging from the study design, data preprocessing and statistical analyses, to markers identification. UPLC-Q-ToF-MS data was enhanced by the alignment of exact mass data from FTICR-MS, and marker peaks were identified using UPLC-Q-ToF-MS(2). In combination with multivariate statistical tools and the annotation of peaks with metabolites from relevant databases, this analytical process provides a fine description of the chemical complexity of wines, as exemplified in the case of red (P…

Winemultivariate data analysisFTICR-MSUPLC-Q-ToF-MSGeneral Chemistrycomputer.software_genreMass spectrometryMasslcsh:ChemistryMetabolomicslcsh:QD1-999non-targeted metabolomicsNon targeted metabolomicsStatistical analysesMS/MSFticr-ms ; Ms/ms ; Uplc-q-tof-ms ; Multivariate Data Analysis ; Non-targeted Metabolomics ; WineWine chemistryData miningOriginal Research ArticleMultivariate statisticalwineBiological systemcomputerMathematicsNutritionFrontiers in Chemistry
researchProduct

Mammalian cell metabolomics: Experimental design and sample preparation

2013

Metabolomics represents the global assessment of metabolites in a biological sample and reports the closest information to the phenotype of the biological system under study. Mammalian cell metabolomics has emerged as a promising tool with potential applications in many biotechnology and research areas. Metabolomics workflow includes experimental design, sampling, sample processing, metabolite analysis, and data processing. Given their influence on metabolite content and biological interpretation of data, a good experimental design and the appropriate choice of a sample processing method are prerequisites for success in any metabolomic study. The use of mammalian cells in the metabolomics f…

WorkflowMetabolomicsResearch areasMammalian cellClinical BiochemistrySample processingSample preparationComputational biologyMetabolite analysisBiologyBioinformaticsBiochemistryAnalytical ChemistryELECTROPHORESIS
researchProduct