Search results for "Metabolomics"

showing 10 items of 286 documents

Metabolic and Functional Genomic Studies Identify Deoxythymidylate Kinase as a target in LKB1 Mutant Lung Cancer

2013

Abstract The LKB1/STK11 tumor suppressor encodes a serine/threonine kinase, which coordinates cell growth, polarity, motility, and metabolism. In non–small cell lung carcinoma, LKB1 is somatically inactivated in 25% to 30% of cases, often concurrently with activating KRAS mutations. Here, we used an integrative approach to define novel therapeutic targets in KRAS-driven LKB1-mutant lung cancers. High-throughput RNA interference screens in lung cancer cell lines from genetically engineered mouse models driven by activated KRAS with or without coincident Lkb1 deletion led to the identification of Dtymk, encoding deoxythymidylate kinase (DTYMK), which catalyzes dTTP biosynthesis, as synthetica…

DNA Replicationcongenital hereditary and neonatal diseases and abnormalitiesLung NeoplasmsMutantSTK11BiologyAMP-Activated Protein KinasesProtein Serine-Threonine Kinasesmedicine.disease_causeArticleProto-Oncogene Proteins p21(ras)MiceDeoxythymidylate kinaseAMP-Activated Protein Kinase KinasesRNA interferenceCell Line TumorCarcinoma Non-Small-Cell LungmedicineMetabolomicsThymine NucleotidesAnimalsHumansMolecular Targeted TherapyLung cancerskin and connective tissue diseasesCell DeathModels GeneticKinaseCell growthGenomicsmedicine.diseaseMolecular biologyHigh-Throughput Screening AssaysOncologyGene Knockdown TechniquesCancer researchRNA InterferenceKRASNucleoside-Phosphate KinaseDNA Damage
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Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE).

2015

Metabolic profiling is increasingly being used for understanding biological processes but there is no single analytical technique that provides a complete quantitative or qualitative profiling of the metabolome. Data fusion (i.e. joint analysis of data from multiple sources) has the potential to circumvent this issue facilitating knowledge discovery and reliable biomarker identification. Another field of application of data fusion is the simultaneous analysis of metabolomic changes through several biofluids or tissues. However, metabolomics typically deals with large datasets, with hundreds to thousands of variables and the identification of shared and individual factors or structures acros…

Data sourceComputer scienceAnalytical techniqueStatistics as TopicAnalytical chemistryUrinalysisSensor fusioncomputer.software_genreBiochemistryAnalytical ChemistryMultiple dataMetabolomicsKnowledge extractionElectrochemistryEnvironmental ChemistryProfiling (information science)HumansMetabolomicsData miningcomputerSpectroscopyMulti-sourceBlood Chemical AnalysisSoftwareThe Analyst
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Clostridium difficile heterogeneously impacts intestinal community architecture but drives stable metabolome responses

2015

Clostridium difficile-associated diarrhoea (CDAD) is caused by C. difficile toxins A and B and represents a serious emerging health problem. Yet, its progression and functional consequences are unclear. We hypothesised that C. difficile can drive major measurable metabolic changes in the gut microbiota and that a relationship with the production or absence of toxins may be established. We tested this hypothesis by performing metabolic profiling on the gut microbiota of patients with C. difficile that produced (n=6) or did not produce (n=4) toxins and on non-colonised control patients (n=6), all of whom were experiencing diarrhoea. We report a statistically significant separation (P-value o0…

DiarrheaMaleBacterial ToxinsDiseasePathogenesisGut floraMicrobiologyMicrobiologyFecesClostridiumMetabolomicsRNA Ribosomal 16SmedicineMetabolomeHumansMetabolomicsColitisEcology Evolution Behavior and SystematicsbiologyClostridioides difficileClostridium difficilebiology.organism_classificationmedicine.diseaseColitisIntestinesRNA BacterialDiarrheaClostridium InfectionsMetabolomeFemaleOriginal Articlemedicine.symptomBacterial infection
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Epigenomics and metabolomics reveal the mechanism of the APOA2-saturated fat intake interaction affecting obesity

2018

BACKGROUND: The putative functional variant −265T>C (rs5082) within the APOA2 promoter has shown consistent interactions with saturated fatty acid (SFA) intake to influence the risk of obesity. OBJECTIVE: The aim of this study was to implement an integrative approach to characterize the molecular basis of this interaction. DESIGN: We conducted an epigenome-wide scan on 80 participants carrying either the rs5082 CC or TT genotypes and consuming either a low-SFA (C genotype, promoting an APOA2 expression difference between APOA2 genotypes on a high-SFA diet, and modulating BCAA and tryptophan metabolic pathways. These findings identify potential mechanisms by which this highly reproducible ge…

EpigenomicsMale0301 basic medicineGenotypeMedicine (miscellaneous)030204 cardiovascular system & hematologyBiologyBioinformatics03 medical and health sciences0302 clinical medicineFramingham Heart StudyMetabolomicsGenotypemedicineHumansMetabolomicsDrug InteractionsObesityEpigeneticsAgedEpigenomicsNutrition and DieteticsApolipoprotein A-Ifood and beveragesGenetic VariationEpigenomeDNA MethylationMiddle AgedLipid Metabolismmedicine.diseaseDietary FatsObesityOriginal Research Communications030104 developmental biologyGene Expression RegulationSaturated fatty acidCpG IslandsFemaleApolipoprotein A-IIThe American Journal of Clinical Nutrition
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Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature

2015

Despite massive investments in drug research and development, the significant decline in the number of new drugs approved or translated to clinical use raises the question, whether single targeted drug discovery is the right approach. To combat complex systemic diseases that harbour robust biological networks such as cancer, single target intervention is proved to be ineffective. In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease. Pleiotropic natural products are one of the promising strategies due to their multi-targeting and d…

EpigenomicsProteomics0301 basic medicineDrugmedia_common.quotation_subjectSystems biologyGene regulatory networkSynthetic lethalityDiseaseComputational biologyBiologyPharmacology03 medical and health sciencesNeoplasmsDrug DiscoveryBiomarkers TumormedicineAnimalsHumansMetabolomicsGene Regulatory NetworksMolecular Targeted TherapyProtein Interaction Mapsmedia_commonPharmacologyPlants MedicinalDrug discoveryGene Expression ProfilingSystems BiologyCancermedicine.diseaseAntineoplastic Agents PhytogenicGene Expression Regulation Neoplastic030104 developmental biologyBiological networkPhytotherapySignal TransductionPharmacological Research
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Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites.

2020

The aim of the paper is two-fold. First, we show that structure finding with the PC algorithm can be inherently unstable and requires further operational constraints in order to consistently obtain models that are faithful to the data. We propose a methodology to stabilise the structure finding process, minimising both false positive and false negative error rates. This is demonstrated with synthetic data. Second, to apply the proposed structure finding methodology to a data set comprising single-voxel Magnetic Resonance Spectra of normal brain and three classes of brain tumours, to elucidate the associations between brain tumour types and a range of observed metabolites that are known to b…

False discovery rateB VitaminsMagnetic Resonance SpectroscopyComputer scienceDirected Acyclic GraphsBiochemistry030218 nuclear medicine & medical imaging0302 clinical medicineMetabolitesMedicine and Health SciencesAmino AcidsQANeurological Tumors0303 health sciencesMultidisciplinaryDirected GraphsOrganic CompoundsBrain NeoplasmsQRTotal Cell CountingBrainMutual informationVitaminsLipidsChemistryConditional independenceOncologyNeurologyPhysical SciencesEngineering and TechnologyMedicineMeningiomaAlgorithmManagement EngineeringAlgorithmsResearch ArticleComputer and Information SciencesScienceCell Enumeration TechniquesGlycineFeature selectionCholinesResearch and Analysis MethodsSynthetic data03 medical and health sciencesInsuranceRobustness (computer science)HumansMetabolomics030304 developmental biologyRisk ManagementOrganic ChemistryChemical CompoundsBayesian networkBiology and Life SciencesCancers and NeoplasmsProteinsBayes TheoremDirected acyclic graphR1MetabolismAliphatic Amino AcidsGraph TheoryMathematicsPLoS ONE
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The peach volatilome modularity is reflected at the genetic and environmental response levels in a QTL mapping population

2014

Background: The improvement of fruit aroma is currently one of the most sought-after objectives in peach breeding programs. To better characterize and assess the genetic potential for increasing aroma quality by breeding, a quantity trait locus (QTL) analysis approach was carried out in an F-1 population segregating largely for fruit traits. Results: Linkage maps were constructed using the IPSC peach 9 K Infinium (R) II array, rendering dense genetic maps, except in the case of certain chromosomes, probably due to identity-by-descent of those chromosomes in the parental genotypes. The variability in compounds associated with aroma was analyzed by a metabolomic approach based on GC-MS to pro…

FitomejoramientoVolatile CompoundsGenotyping TechniquesQuantitative Trait LociPopulationLocus (genetics)Plant ScienceBreedingEnvironmentQuantitative trait locusPolymorphism Single NucleotideCompuesto VolátilPrunusMetabolomicsQTL (Quantitative Trait Loci)Databases GeneticGenotypeCluster AnalysisPrunus PersicaGene Regulatory NetworkseducationAromaAromaLoci de Rasgos CuantitativosGeneticsPrincipal Component AnalysisVolatile Organic Compoundseducation.field_of_studybiologyDuraznoChromosome Mappingfood and beveragesbiology.organism_classificationPlant BreedingFruitPeachesMetabolomeTraitPrunusLod ScoreResearch ArticleBMC Plant Biology
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Insects’ potential: Understanding the functional role of their gut microbiome

2021

The study of insect-associated microbial communities is a field of great importance in agriculture, principally because of the role insects play as pests. In addition, there is a recent focus on the potential of the insect gut microbiome in areas such as biotechnology, given some microorganisms produce molecules with biotechnological and industrial applications, and also in biomedicine, since some bacteria and fungi are a reservoir of antibiotic resistance genes (ARGs). To date, most studies aiming to characterize the role of the gut microbiome of insects have been based on high-throughput sequencing of the 16S rRNA gene and/or metagenomics. However, recently functional approaches such as m…

Functional roleInsectaClinical BiochemistryPharmaceutical ScienceComputational biology01 natural sciencesAnalytical ChemistryMetabolomicsRNA Ribosomal 16SDrug DiscoveryAnimalsSpectroscopyBiomedicine010405 organic chemistrybusiness.industryChemistryMicrobiota010401 analytical chemistryGut microbiomeGastrointestinal Microbiome0104 chemical sciencesMetagenomicsMetaproteomicsMetagenomicsbusinessAntibiotic resistance genesJournal of Pharmaceutical and Biomedical Analysis
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Monitoring neonatal fungal infection with metabolomics

2014

Abstract The objective of our study was to evaluate the capability of the metabolomics approach to identify the variations of urine metabolites over time related to the neonatal fungal septic condition. The study population included a clinical case of a preterm neonate with invasive fungal infection and 13 healthy preterm controls. This study showed a unique urine metabolic profile of the patient affected by fungal sepsis compared to urine of controls and it was also possible to evaluate the efficacy of therapy in improving patient health.

Fungal infectionmedicine.medical_specialtyUrineInfant Newborn DiseasessepsisSepsisSettore MED/38 - Pediatria Generale E SpecialisticaMetabolomicsIntensive Care Units NeonatalmedicineHumansMetabolomicsIntensive care medicinePrincipal Component AnalysisPatient affectedbusiness.industryInfant NewbornObstetrics and Gynecologymedicine.diseaseItalyMycosesfungal infectionsPediatrics Perinatology and Child HealthMetabolomePopulation studyMetabolomic; fungal infections; PrematurityFungal sepsisClinical caseneonatePrematuritybusinessBiomarkersMetabolic profilemetabolomicThe Journal of Maternal-Fetal & Neonatal Medicine
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Biomonitoring of Enniatin B1 and Its Phase I Metabolites in Human Urine: First Large-Scale Study

2020

Enniatins (Enns) are mycotoxins produced by Fusarium spp. which are a fungus widely spread throughout cereals and cereal-based products. Among all the identified enniatins, Enn B1 stands as one of the most prevalent analogues in cereals in Europe. Hence, the aim of this study was to evaluate for the first time the presence of Enn B1 and its phase I metabolites in 300 human urine samples using an ultrahigh-performance liquid chromatography high resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) methodology. Enn B1 was detected in 94.3% of samples ranging from 0.007 to 0.429 ng/mL (mean value: 0.065 ng/mL). In accordance with previous in vitro and in vivo analysis, hydroxylated metabolites …

FusariumAdultMaleSpectrometry Mass Electrospray Ionizationhigh resolution mass spectrometry (HRMS)Health Toxicology and MutagenesisPopulationlcsh:MedicineUrineUrinalysisToxicology01 natural sciencesArticlechemistry.chemical_compound0404 agricultural biotechnologyMetabolomicsLimit of DetectionTandem Mass SpectrometryHigh resolutionmass spectrometry (HRMS)DepsipeptidesBiomonitoringHumanseducationMycotoxinChromatography High Pressure LiquidEnniatin B1education.field_of_studyChromatographybiologyChemistry010401 analytical chemistrylcsh:RIn vivo analysis04 agricultural and veterinary sciencesMiddle Agedbiology.organism_classification040401 food sciencemetabolomics0104 chemical sciencesin vivobiomonitoringFemaleMetabolic Detoxication Phase IEnniatinBiomarkersBiological Monitoring
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