2021
Impact of Type 1 Diabetes in the Developing Brain in Children: A Longitudinal Study.
Mauras N, Buckingham B, White NH, Tsalikian E, Weinzimer SA, Jo B, Cato A, Fox LA, Aye T, Arbelaez AM, Hershey T, Tansey M, Tamborlane W, Foland-Ross LC, Shen H, Englert K, Mazaika P, Marzelli M, Reiss AL. Impact of Type 1 Diabetes in the Developing Brain in Children: A Longitudinal Study. Diabetes Care 2021, 44: 983-992. PMID: 33568403, PMCID: PMC7985430, DOI: 10.2337/dc20-2125.Peer-Reviewed Original ResearchConceptsType 1 diabetesBrain volumeControl subjectsTotal brain volume differencesEarly-onset type 1 diabetesAge-matched control subjectsIntelligence quotientCognitive scoresWhite matter volumeBrain volume differencesContinuous glucose monitoringDiabetes groupFull-scale intelligence quotientDiabetes complicationsDiabetes controlTotal brainVerbal intelligence quotientDiabetesMatter volumeSensor glucoseCognitive testingGlucose monitoringMixed-effects modelsBrainGroup differences
2019
Biologic and social factors predict incident kidney disease in type 1 diabetes: Results from the T1D exchange clinic network
McGill JB, Wu M, Pop-Busui R, Mizokami-Stout K, Tamborlane WV, Aleppo G, Gubitosi-Klug RA, Haller MJ, Willi SM, Foster NC, Zimmerman C, Libman I, Polsky S, Rickels MR. Biologic and social factors predict incident kidney disease in type 1 diabetes: Results from the T1D exchange clinic network. Journal Of Diabetes And Its Complications 2019, 33: 107400. PMID: 31279735, DOI: 10.1016/j.jdiacomp.2019.06.005.Peer-Reviewed Original ResearchConceptsAdverse kidney outcomesDiabetic kidney diseaseKidney outcomesType 1 diabetesKidney diseaseRisk factorsRisk of DKDDevelopment of DKDT1D Exchange Clinic NetworkAlbumin/creatinine ratioIncident kidney diseaseBlood pressure controlModifiable risk factorsT1D Exchange RegistryUrine albumin measurementsLow education levelModern clinical practiceEGFR declineIncident albuminuriaT1D durationBaseline characteristicsSerum creatinineCreatinine ratioMajor complicationsHigher HbA1c
2018
Persistence of abnormalities in white matter in children with type 1 diabetes
Fox LA, Hershey T, Mauras N, Arbeláez AM, Tamborlane WV, Buckingham B, Tsalikian E, Englert K, Raman M, Jo B, Shen H, Reiss A, Mazaika P, for the Diabetes Research in Children Network (DirecNet). Persistence of abnormalities in white matter in children with type 1 diabetes. Diabetologia 2018, 61: 1538-1547. PMID: 29654376, PMCID: PMC5991628, DOI: 10.1007/s00125-018-4610-6.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsBiomarkersBlood GlucoseCase-Control StudiesChildChild DevelopmentChild, PreschoolCognitive DysfunctionDiabetes Mellitus, Type 1Diffusion Tensor ImagingFemaleGlycated HemoglobinHumansLeukoencephalopathiesLongitudinal StudiesMagnetic Resonance ImagingMalePrognosisRisk FactorsTime FactorsUnited StatesConceptsType 1 diabetesNon-diabetic childrenWhite matter microstructureWhite matterAltered white matter developmentContinuous glucose monitoring (CGM) profilesFractional anisotropyConclusions/interpretationThese resultsPersistence of abnormalitiesLongitudinal observational studyWhite matter growthYoung childrenWhite matter developmentMild cognitive deficitsHigher fractional anisotropyDiabetes groupClinical centersMethodsOne hundredObservational studyDiabetesInterpretationThese resultsCognitive deficitsHyperglycaemiaDiabetes researchAdverse effects
2015
Variations in Brain Volume and Growth in Young Children With Type 1 Diabetes
Mazaika PK, Weinzimer SA, Mauras N, Buckingham B, White NH, Tsalikian E, Hershey T, Cato A, Aye T, Fox L, Wilson DM, Tansey MJ, Tamborlane W, Peng D, Raman M, Marzelli M, Reiss AL. Variations in Brain Volume and Growth in Young Children With Type 1 Diabetes. Diabetes 2015, 65: 476-485. PMID: 26512024, PMCID: PMC4747456, DOI: 10.2337/db15-1242.Peer-Reviewed Original ResearchConceptsEarly-onset type 1 diabetesType 1 diabetesBlood glucose levelsWhite matter volumeGlucose levelsMatter volumeTime pointsBrain volumeAge-matched control subjectsCortical gray matter volumeMeasures of hyperglycemiaMean HbA1c levelCurrent treatment guidelinesManagement of diabetesRapid brain maturationGray matter volumeTime of scanCortical surface areaHbA1c levelsTreatment guidelinesControl subjectsGlycemic variationsLongitudinal time pointsBrain maturationDiabetesHemoglobin A1c (HbA1c) changes over time among adolescent and young adult participants in the T1D exchange clinic registry
Clements MA, Foster NC, Maahs DM, Schatz DA, Olson BA, Tsalikian E, Lee JM, Burt‐Solorzano C, Tamborlane WV, Chen V, Miller KM, Beck RW, Network F. Hemoglobin A1c (HbA1c) changes over time among adolescent and young adult participants in the T1D exchange clinic registry. Pediatric Diabetes 2015, 17: 327-336. PMID: 26153338, DOI: 10.1111/pedi.12295.Peer-Reviewed Original ResearchConceptsGlycemic controlT1D Exchange Clinic RegistryEarly adulthoodDiabetes-related complicationsInsulin pump useHealth insuranceHemoglobin A1c changeType 1 diabetesAge 16Age of onsetAge 10 yrYoung adult cohortRace/ethnicityA1C changePatients 8Retrospective cohortClinical factorsClinic registryGlucose controlMedical recordsLongitudinal riskPump useAdult cohortAdolescent cohortCohortBody Mass Index Changes in Youth in the First Year after Type 1 Diabetes Diagnosis
Gregg B, Connor CG, Ruedy KJ, Beck RW, Kollman C, Schatz D, Cengiz E, Harris B, Tamborlane WV, Klingensmith GJ, Lee JM, Consortium P. Body Mass Index Changes in Youth in the First Year after Type 1 Diabetes Diagnosis. The Journal Of Pediatrics 2015, 166: 1265-1269.e1. PMID: 25919735, DOI: 10.1016/j.jpeds.2015.02.036.Peer-Reviewed Original ResearchConceptsBody mass indexBMI z-scoreZ-scoreBody mass index (BMI) changeMeasures of BMIPediatric Diabetes ConsortiumRegain of weightFirst yearType 1 diabetesDelivery modeAdditional weight gainDiabetes durationClinical characteristicsMass indexT1D diagnosisBMI trajectoriesProspective longitudinal dataUS CentersType 1Weight gainSignificant positive changesDiagnosisMonthsSocioeconomic statusDemographic characteristics
2014
Insulin pump use in young children in the T1D Exchange clinic registry is associated with lower hemoglobin A1c levels than injection therapy
Blackman SM, Raghinaru D, Adi S, Simmons JH, Ebner‐Lyon L, Chase HP, Tamborlane WV, Schatz DA, Block JM, Litton JC, Raman V, Foster NC, Kollman CR, DuBose SN, Miller KM, Beck RW, DiMeglio LA. Insulin pump use in young children in the T1D Exchange clinic registry is associated with lower hemoglobin A1c levels than injection therapy. Pediatric Diabetes 2014, 15: 564-572. PMID: 24494980, DOI: 10.1111/pedi.12121.Peer-Reviewed Original ResearchConceptsContinuous subcutaneous insulin infusionT1D Exchange Clinic RegistryCross-sectional studyInjection usersClinic registryInitiation of CSIIUse of CSIIInsulin pumpLower hemoglobin A1c levelsDiabetic ketoacidosis eventsHemoglobin A1c levelsSevere hypoglycemia eventsSubcutaneous insulin infusionRetrospective longitudinal studyType 1 diabetesRisk of DKALongitudinal studyYounger age groupsYoung childrenRace/ethnicityKetoacidosis eventsAnnual household incomeT1D durationA1c levelsHemoglobin A1c
2011
Optimal Sampling Intervals to Assess Long-Term Glycemic Control Using Continuous Glucose Monitoring
Xing D, Kollman C, Beck RW, Tamborlane WV, Laffel L, Buckingham BA, Wilson DM, Weinzimer S, Fiallo-Scharer R, Group K. Optimal Sampling Intervals to Assess Long-Term Glycemic Control Using Continuous Glucose Monitoring. Diabetes Technology & Therapeutics 2011, 13: 351-358. PMID: 21299401, PMCID: PMC6468940, DOI: 10.1089/dia.2010.0156.Peer-Reviewed Original Research
2010
Continuous Glucose Monitoring in Youth with Type 1 Diabetes: 12-Month Follow-Up of the Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Randomized Trial
Chase HP, Beck RW, Xing D, Tamborlane WV, Coffey J, Fox LA, Ives B, Keady J, Kollman C, Laffel L, Ruedy KJ. Continuous Glucose Monitoring in Youth with Type 1 Diabetes: 12-Month Follow-Up of the Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Randomized Trial. Diabetes Technology & Therapeutics 2010, 12: 507-515. PMID: 20597824, DOI: 10.1089/dia.2010.0021.Peer-Reviewed Original ResearchConceptsContinuous glucose monitoringUse of CGMDays/weekCGM useMonth 12Glucose monitoringSevere hypoglycemic eventsType 1 diabetesJuvenile Diabetes Research Foundation Continuous Glucose MonitoringBaseline hemoglobinGlycemic controlSevere hypoglycemiaPediatric populationHypoglycemic eventsSubjects 8Extension studyType 1MonthsT1DGreater improvementTrialsWeeksGreater satisfactionSubjectsSatisfaction Scale
2007
Degree of Obesity and Glucose Allostasis Are Major Effectors of Glucose Tolerance Dynamics in Obese Youth
Weiss R, Cali AM, Dziura J, Burgert TS, Tamborlane WV, Caprio S. Degree of Obesity and Glucose Allostasis Are Major Effectors of Glucose Tolerance Dynamics in Obese Youth. Diabetes Care 2007, 30: 1845-1850. PMID: 17475938, DOI: 10.2337/dc07-0325.Peer-Reviewed Original ResearchConceptsOral glucose tolerance testDegree of obesityElevated glucose levelsObese youthGlucose toleranceAmbient glycemiaInsulin sensitivityGlucose levelsSecond oral glucose tolerance testBaseline BMI z-scoreGlucose tolerance testBMI z-scoreAltered glucose metabolismCross-sectional analysisTolerance testInsulin sensitizationGlucose metabolismObesityZ-scoreLongitudinal assessmentLongitudinal changesMajor effectorGlycemiaSignificant reduction
2005
Predictors of Changes in Glucose Tolerance Status in Obese Youth
Weiss R, Taksali SE, Tamborlane WV, Burgert TS, Savoye M, Caprio S. Predictors of Changes in Glucose Tolerance Status in Obese Youth. Diabetes Care 2005, 28: 902-909. PMID: 15793193, DOI: 10.2337/diacare.28.4.902.Peer-Reviewed Original ResearchConceptsOral glucose tolerance testImpaired glucose toleranceType 2 diabetesNormal glucose toleranceGlucose tolerance statusGlucose toleranceObese youthPredictors of changeObese childrenTolerance statusHigh riskGlucose tolerance testSevere obesityAfrican American descentTolerance testInsulin sensitivityC-peptideGlucose levelsDiabetesAnthropometric predictorsWeight changeAfrican American backgroundsPredictorsBaselineSubjects