0000000000311297

AUTHOR

Theo M. De Kok

showing 3 related works from this author

A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data

2019

Given the association of disturbances in non-esterified fatty acid (NEFA) metabolism with the development of Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease, computational models of glucose-insulin dynamics have been extended to account for the interplay with NEFA. In this study, we use arteriovenous measurement across the subcutaneous adipose tissue during a mixed meal challenge test to evaluate the performance and underlying assumptions of three existing models of adipose tissue metabolism and construct a new, refined model of adipose tissue metabolism. Our model introduces new terms, explicitly accounting for the conversion of glucose to glyceraldehye-3-phosphate, the postprandial …

Adipose Tissue/metabolismDIETARY FATTY-ACIDSmedicine.medical_treatmentFatty Acids NonesterifiedBiochemistry0302 clinical medicineEndocrinologyModelsInsulinGlucose/metabolismBiology (General)Organic CompoundsFatty AcidsChemical ReactionsPostprandial Period/physiologyPostprandial PeriodLipidsPostprandialBloodComputational Theory and MathematicsAdipose TissueModeling and SimulationPhysical Sciencesmedicine.medical_specialtyQH301-705.5LipolysisCarbohydratesLIPOPROTEIN-LIPASECarbohydrate metabolism03 medical and health sciencesNEFASDG 3 - Good Health and Well-beingGeneticsLipolysisHumansComputer SimulationMolecular BiologyEcology Evolution Behavior and SystematicsBlood Glucose/metabolismArteriovenous AnastomosisChemical CompoundsBiology and Life SciencesComputational BiologyComputational Biology/methodsmedicine.diseaseLipid MetabolismBiologicalHormonesLipid Metabolism/physiology030104 developmental biologyEndocrinologyBiological TissueGlucoseMOBILIZATION030217 neurology & neurosurgery0301 basic medicineGlycerolBlood GlucosePhysiologyPATHOGENESISAdipose tissueLipids/physiologySDG 3 – Goede gezondheid en welzijnVoeding Metabolisme en GenomicaGlucose MetabolismIsotopesMedicine and Health SciencesMetabolitesINSULIN-RESISTANCEEcologyChemistryHydrolysisMonomersMonosaccharidesArteriovenous Anastomosis/metabolismMetabolism and GenomicsBody FluidsChemistryFatty Acids/metabolismMetabolisme en GenomicaCarbohydrate MetabolismNutrition Metabolism and GenomicsFatty Acids Nonesterified/metabolismAnatomyResearch ArticleInsulin/metabolismINHIBITIONWEIGHT-LOSSModels BiologicalBlood PlasmaMECHANISMSCellular and Molecular NeuroscienceInsulin resistanceVoedingInternal medicinemedicineLife ScienceNonesterified/metabolismNutritionDiabetic EndocrinologyInsulinOrganic ChemistryLipid metabolismECTOPIC FATPolymer ChemistryMetabolism
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

2020

In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to relevant clinical outcomes in the human in vivo system still proves challenging, relying on often putative orthologs. In recent years, multiple studies have demonstrated that the repeated dose rodent bioassay, the current gold standard in the field, lacks sufficient sensitivity and specificity in predicting toxic effects of pharmaceuticals in humans. In this study, we evaluate the potential of deep learning techniques to translate the pattern of …

0301 basic medicineGene ExpressionGene Expression Regulation/drug effectsPathology and Laboratory MedicineConvolutional neural networkTOXICITYMachine LearningVoeding Metabolisme en GenomicaTime Measurement0302 clinical medicineGene expressionMedicine and Health SciencesMeasurementClinical Trials as TopicMultidisciplinaryArtificial neural networkPharmaceuticsQRMetabolism and GenomicsTOXICOGENOMICS030220 oncology & carcinogenesisMetabolisme en GenomicaMedicineEngineering and TechnologyNutrition Metabolism and GenomicsHepatocytes/drug effectsAlgorithmsResearch ArticleComputer and Information SciencesClinical Trials as Topic/statistics & numerical dataNeural NetworksGenetic ToxicologyTOXICOLOGYSciencePredictive ToxicologyComputational biologyBiologyComputer03 medical and health sciencesDose Prediction MethodsDeep LearningVoedingArtificial IntelligenceIn vivoGeneticsLife ScienceAnimalsHumansGeneNutritionbusiness.industryDeep learningBiology and Life SciencesGold standard (test)REPRESENTATIONSRats030104 developmental biologyGene Expression RegulationHepatocytesArtificial intelligenceNeural Networks ComputerToxicogenomicsbusinessNeuroscience
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Nitrate and nitrite in the diet: How to assess their benefit and risk for human health

2015

Nitrate is a natural constituent of the human diet and an approved food additive. It can be partially converted to nitrogen monoxide, which induces vasodilation and thereby decreases blood pressure. This effect is associated with a reduced risk regarding cardiovascular disease, myocardial infarction, and stroke. Moreover, dietary nitrate has been associated with beneficial effects in patients with gastric ulcer, renal failure, or metabolic syndrome. Recent studies indicate that such beneficial health effects due to dietary nitrate may be achievable at intake levels resulting from the daily consumption of nitrate-rich vegetables. N-nitroso compounds are endogenously formed in humans. However…

risk analysisNitriteischemia-reperfusion injuryPhysiologyBenefitNitric OxideToxicologyNitratereduces blood-pressureNitric oxidechemistry.chemical_compoundNitrateRisk FactorsNeoplasmsVegetablesmedicineAnimalsHumansfluke opisthorchis-viverriniNitritenih-aarp dietNitritesToxicologiecolorectal-cancer riskCarcinogenRandomized Controlled Trials as TopicVLAGNitratesChemistryN-nitroso compoundsmedicine.diseasenitrosatable drug exposureDietMeat ProductsDisease Models Animaln-nitroso compoundsBlood pressureBiochemistryNitrosationMetabolic syndromecoronary-heart-diseaseRisk assessmentBiomarkersNitroso Compoundsinorganic nitrateneural-tube defectsFood ScienceBiotechnology
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