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 HbA1cContinuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study
Shah VN, DuBose SN, Li Z, Beck RW, Peters AL, Weinstock RS, Kruger D, Tansey M, Sparling D, Woerner S, Vendrame F, Bergenstal R, Tamborlane WV, Watson SE, Sherr J. Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study. The Journal Of Clinical Endocrinology & Metabolism 2019, 104: 4356-4364. PMID: 31127824, PMCID: PMC7296129, DOI: 10.1210/jc.2018-02763.Peer-Reviewed Original ResearchConceptsContinuous glucose monitoringMedian timeAge groupsProspective studyNondiabetic individualsGlucose levelsAverage glucoseNonobese body mass indexT1D Exchange Clinic NetworkContinuous glucose monitoring (CGM) profilesInsulin-requiring patientsMulticenter prospective studyBody mass indexDifferent age groupsNondiabetic childrenNondiabetic populationGlycemic profileMass indexNondiabetic participantsGlycemic variabilityMean glucoseClinic networkCGM metricsGlycemic metricsGlucose monitoring
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
2016
American Association Of Clinical Endocrinologists And American College Of Endocrinology 2016 Outpatient Glucose Monitoring Consensus Statement
Bailey TS, Grunberger G, Bode BW, Handelsman Y, Hirsch IB, Jovanovič L, Roberts V, Rodbard D, Tamborlane WV, Walsh J. American Association Of Clinical Endocrinologists And American College Of Endocrinology 2016 Outpatient Glucose Monitoring Consensus Statement. Endocrine Practice 2016, 22: 231-262. PMID: 26848630, DOI: 10.4158/ep151124.cs.Peer-Reviewed Original Research
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 maturationDiabetesPrevalence of cardiovascular risk factors in youth with type 1 diabetes and elevated body mass index
Redondo MJ, Foster NC, Libman IM, Mehta SN, Hathway JM, Bethin KE, Nathan BM, Ecker MA, Shah AC, DuBose SN, Tamborlane WV, Hoffman RP, Wong JC, Maahs DM, Beck RW, DiMeglio LA. Prevalence of cardiovascular risk factors in youth with type 1 diabetes and elevated body mass index. Acta Diabetologica 2015, 53: 271-277. PMID: 26077171, DOI: 10.1007/s00592-015-0785-1.Peer-Reviewed Original ResearchConceptsType 1 diabetesCardiovascular risk factorsHealthy weight participantsWeight participantsRisk factorsElevated body mass indexHealthy weight peersFrequency of hypertensionDiagnosis of hypertensionHealthy weight childrenBody mass indexYears of ageWarrants further investigationConclusionsObese childrenMass indexObese participantsT1D ExchangeWeight childrenMedical recordsPrevention criteriaWeight statusAimThe prevalenceHigh prevalenceChildren 2Dyslipidemia
2014
Persistently high glucose levels in young children with type 1 diabetes
Tansey M, Beck R, Ruedy K, Tamborlane W, Cheng P, Kollman C, Fox L, Weinzimer S, Mauras N, White N, Tsalikian E, Network F. Persistently high glucose levels in young children with type 1 diabetes. Pediatric Diabetes 2014, 17: 93-100. PMID: 25496062, PMCID: PMC4465416, DOI: 10.1111/pedi.12248.Peer-Reviewed Original ResearchConceptsType 1 diabetesGlucose levelsMin/dContinuous glucose monitorGlycemic excursionsYoung childrenPostprandial glycemic excursionsSuboptimal glycemic controlPercent of participantsHigh glucose levelsOverall mean glucoseMean hemoglobinGlycemic targetsGlycemic controlMedian timeMean glucoseCGM metricsNormal rangeAge groupsT1DHyperglycemic rangeValue 71Age rangeCGM dataAge 8
2013
Race, Socioeconomic Status, and Treatment Center Are Associated with Insulin Pump Therapy in Youth in the First Year Following Diagnosis of Type 1 Diabetes
Lin MH, Connor CG, Ruedy KJ, Beck RW, Kollman C, Buckingham B, Redondo MJ, Schatz D, Haro H, Lee JM, Tamborlane WV, Wood F. Race, Socioeconomic Status, and Treatment Center Are Associated with Insulin Pump Therapy in Youth in the First Year Following Diagnosis of Type 1 Diabetes. Diabetes Technology & Therapeutics 2013, 15: 929-934. PMID: 23869706, PMCID: PMC3817890, DOI: 10.1089/dia.2013.0132.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAge FactorsBlood GlucoseBlood Glucose Self-MonitoringChildChild, PreschoolDiabetes Mellitus, Type 1Diabetic KetoacidosisFemaleHealth Services AccessibilityHealthcare DisparitiesHumansHypoglycemic AgentsInfantInfusion Pumps, ImplantableInsulinInsulin Infusion SystemsMaleMedically UninsuredSocioeconomic FactorsUnited StatesConceptsNon-Hispanic white raceInsulin pump therapyPump therapyPump useWhite raceFirst yearSocioeconomic statusPediatric diabetes centersTime of diagnosisType 1 diabetesPercent of participantsHigher socioeconomic statusAnnual household incomeNew onsetDiabetes CenterCox regressionT1D diagnosisPrivate health insuranceFollowing DiagnosisNumber of childrenTreatment centersMultivariate analysisTherapyType 1Early use
2012
Body Mass Index at the Time of Diagnosis of Autoimmune Type 1 Diabetes in Children
Kaminski BM, Klingensmith GJ, Beck RW, Tamborlane WV, Lee J, Hassan K, Schatz D, Kollman C, Redondo MJ, Consortium P. Body Mass Index at the Time of Diagnosis of Autoimmune Type 1 Diabetes in Children. The Journal Of Pediatrics 2012, 162: 736-740.e1. PMID: 23092524, DOI: 10.1016/j.jpeds.2012.09.017.Peer-Reviewed Original ResearchConceptsAutoimmune type 1 diabetesType 1 diabetesGeneral populationDiabetic ketoacidosisT1D onsetHigher BMI z-scoreHispanic race/ethnicityDisease control populationsMedian BMI percentilePediatric Diabetes ConsortiumDiagnosis of T1DPediatric diabetes centersTime of diagnosisDays of diagnosisBody mass indexSame clinical characteristicsBody mass index distributionBMI z-scoreType 2 diabetesChildren ages 2Race/ethnicityClinical characteristicsDiabetes autoantibodiesDiabetes CenterLower hemoglobin
2005
Disease Management in the Young Diabetic Patient: Glucose Monitoring, Coping Skills, and Treatment Strategies
Weinzimer SA, Doyle EA, Tamborlane WV. Disease Management in the Young Diabetic Patient: Glucose Monitoring, Coping Skills, and Treatment Strategies. Clinical Pediatrics 2005, 44: 393-403. PMID: 15965545, DOI: 10.1177/000992280504400503.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PsychologicalAdolescentAdolescent BehaviorAdultAge FactorsAgedAttitude to HealthBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsInjections, SubcutaneousInsulinInsulin ResistanceMaleMiddle AgedPatient CompliancePatient Education as TopicPrognosisRisk AssessmentSeverity of Illness IndexTreatment OutcomeConceptsYoung diabetic patientsGlycemic controlDiabetic patientsType 1 diabetes mellitusContinuous subcutaneous insulin infusionPresence of hypoglycemiaSubcutaneous insulin infusionType 2 diabetesDisease managementContinuous glucose-monitoring systemPositive treatment outcomesGlucose-monitoring systemInsulin glargineYounger patientsDiabetes mellitusHypoglycemic episodesJuvenile patientsNocturnal hypoglycemiaInsulin infusionTreatment outcomesTreatment strategiesCareful monitoringDiabetesPatientsGlucose monitoringDiabetes in overweight pediatric patients
Tamborlane WV. Diabetes in overweight pediatric patients. Clinical Cornerstone 2005, 7: s25-s29. PMID: 16545735, DOI: 10.1016/s1098-3597(05)80086-9.Peer-Reviewed Original ResearchConceptsDiabetes mellitusNew-onset type 2 diabetes mellitusType 2 diabetes mellitusChildhood diabetes mellitusOverweight pediatric patientsNew diabetes casesMore effective treatmentsPediatric patientsHemoglobin levelsInadequate therapyDiabetes casesDiabetic complicationsPatient satisfactionUrine testingFamily historyEffective treatmentDM treatmentBetter outcomesMetabolic controlInsulin analoguesType 2Ethnic minority groupsHigh rateDiseasePromising new avenue
1994
Comparison of the metabolic effects of recombinant human insulin-like growth factor-I and insulin. Dose-response relationships in healthy young and middle-aged adults.
Boulware SD, Tamborlane WV, Rennert NJ, Gesundheit N, Sherwin RS. Comparison of the metabolic effects of recombinant human insulin-like growth factor-I and insulin. Dose-response relationships in healthy young and middle-aged adults. Journal Of Clinical Investigation 1994, 93: 1131-1139. PMID: 8132753, PMCID: PMC294058, DOI: 10.1172/jci117065.Peer-Reviewed Original ResearchConceptsRecombinant human insulin-like growth factorInsulin-like growth factorHuman insulin-like growth factorMiddle-aged subjectsC-peptideYoung subjectsBasal IGF-I levelsHealthy middle-aged subjectsGlucose uptakeGrowth factorAdverse metabolic changesFree fatty acid levelsIGF-I levelsRelative insulin deficiencyEuglycemic clamp studiesFat oxidation rateDose-response relationshipFatty acid levelsInsulin-induced stimulationMiddle-aged adultsBasal insulinInsulin deficiencyMetabolic effectsClamp studiesRhIGF