grant
Developing a predictive risk score for pre-diabetes in youth.
Organization LURIE CHILDREN'S HOSPITAL OF CHICAGOLocation CHICAGO, UNITED STATESPosted 15 Jul 2025Deadline 31 May 2030
NIHUS FederalResearch GrantFY20250-11 years old0-4 weeks old12-20 years old14 year old14 years of age21+ years oldAddressAdolescenceAdultAdult HumanAdult-Onset Diabetes MellitusAgeBMIBMI percentileBMI z-scoreBiological MarkersBirthBlood CellsBody mass indexC-PeptideChildChild YouthChildhoodChildren (0-21)ClinicalClinical ResearchClinical StudyClinical TreatmentCohort StudiesComplications of Diabetes MellitusConcurrent StudiesCord BloodD-GlucoseDNA MethylationDataDevelopmentDextroseDiabetes ComplicationsDiabetes-Related ComplicationsDiabetic ComplicationsDiagnosisDiseaseDisorderDrugsEarly identificationEndocrine Gland SecretionEnvironmentEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessFailureFamilyFamily Medical HistoryFamily Medical History EpidemiologyFamily history ofFeasibility StudiesFollow-Up StudiesFollowup StudiesFutureGenesGeneticGenomic SegmentGestationGestational DiabetesGestational Diabetes MellitusGlucoseGoalsHealthHealth Care SystemsHistoryHormonalHormonesHyperglycemiaIncidenceInsulin ResistanceInternationalInterventionIntervention StudiesInvestigatorsKetosis-Resistant Diabetes MellitusKnowledgeLifeLife CycleLife Cycle StagesLogistic RegressionsLongitudinal StudiesMaturity-Onset Diabetes MellitusMeasurementMeasuresMedicationMetabolicMethylationMorbidityMorbidity - disease rateMothersNIDDMNeonatalNewborn InfantNewbornsNon-Insulin Dependent DiabetesNon-Insulin-Dependent Diabetes MellitusNoninsulin Dependent DiabetesNoninsulin Dependent Diabetes MellitusNutritionalObesityOnset of illnessOutcomeOutcome StudyParticipantParturitionPeripheral Blood CellPharmaceutical PreparationsPhenotypePrediabetesPrediabetes syndromePrediabetic StatePredicting RiskPredispositionPregnancyPregnancy-Induced DiabetesPrevalencePreventative interventionProcessQuetelet indexRecording of previous eventsResearch DesignResearch PersonnelResearchersRiskRisk FactorsSlow-Onset Diabetes MellitusStable Diabetes MellitusStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStatistical MethodsStudy TypeSusceptibilitySystemT2 DMT2DT2DMTXNIPTXNIP geneTherapeuticTherapeutic HormoneThioredoxin-Binding Protein 2Thioredoxin-Interacting ProteinTrainingType 2 Diabetes MellitusType 2 diabetesType II Diabetes MellitusType II diabetesUmbilical Cord BloodVDUP1VariantVariationVitamin D3-Upregulating Protein 1YouthYouth 10-21adiposityadolescence (12-20)adult onset diabetesadulthoodadverse pregnancy outcomeage 14 yearsagesbio-markersbiologic markerbiomarkercareercareer developmentclinical interventionclinical predictorsclinical riskclinical therapycohortcomputer based predictionconnecting peptidecorpulencedevelopmentaldisease onsetdisorder onsetdrug/agentearly childhoodepigenetic variationepigeneticallyepigenomefetal cord bloodforecasting riskfourteen year oldfourteen years of agegenome segmentgenomic regionglucose metabolismhistorieshyperglycemicimpaired glucose toleranceimprovedin uteroinnovateinnovationinnovativeinsulin resistantinsulin sensitizerinsulin sensitizing drugsinsulin toleranceintervention for preventionintervention researchinterventional researchinterventional studyinterventions researchintrauterine environmentintrauterine milieuketosis resistant diabeteskidslife courselong-term studylongitudinal outcome studiesmaternal hyperglycemiamaturity onset diabetesmethylation biomarkermethylation markermortalitymulti-ethnicmultiethnicnewborn childnewborn childrennovelnutritiousoffspringpediatricpostnatalpotential biological markerpotential biomarkerpre-diabetespre-diabeticprecision medicineprecision-based medicineprediabeticpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive biological markerpredictive biomarkerspredictive markerpredictive modelingpredictive molecular biomarkerpredictive riskpredicts riskpregnancy diabetesprepregnancy obesitypreventpreventingprevention interventionpreventional intervention strategypreventive interventionrecruitresponserisk predictionrisk predictionsskillsspecific biomarkersstatistic methodsstatistical analysisstudy designtrial regimentrial treatmenttype 2 DMtype 2 diabetes in childrentype II DMtype two diabetesyoungsteryouth age
Description preview
PROJECT SUMMARY
The prevalence of impaired glucose tolerance (IGT) and youth onset type 2 diabetes (YT2D) is increasing. IGT
in adolescence is an indicator of increased risk for YT2D. Compared to adults, YT2D is associated with high
therapeutic failure rates, decreased response to insulin sensitizers, and rapid progression to diabetes-related…
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