Featured Publications
Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
Gu T, Mack J, Salvatore M, Sankar S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Network Open 2020, 3: e2025197. PMID: 33084902, PMCID: PMC7578774, DOI: 10.1001/jamanetworkopen.2020.25197.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBetacoronavirusBlack or African AmericanComorbidityCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHealth Status DisparitiesHospitalizationHumansIntensive Care UnitsKidney DiseasesMaleMichiganMiddle AgedNeoplasmsObesityOdds RatioPandemicsPneumonia, ViralPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2White PeopleConceptsAssociated with higher riskInternational Classification of DiseasesRisk of hospitalizationPreexisting type 2 diabetesHigher risk of hospitalizationClassification of DiseasesType 2 diabetesCOVID-19 outcomesRacial/ethnic disparitiesWhite patientsBlack patientsIntensive care unitInternational ClassificationResidential-level socioeconomic characteristicsOdds ratioStatistically significant racial differencesHigh riskAssociated with higher risk of hospitalizationNon-Hispanic blacksAssociation of risk factorsNon-Hispanic whitesMichigan Department of HealthAssociated with increased risk of hospitalizationComorbidity scoreDepartment of Health
2022
Psychosocial Stress and Hypothalamic-Pituitary-Adrenal Axis Stress Reactivity: Variations by Race and Socioeconomic Status Among Adults at Risk of Diabetes
Kalesnikava V, Clarke P, Mukherjee B, Sen S, Mezuk B. Psychosocial Stress and Hypothalamic-Pituitary-Adrenal Axis Stress Reactivity: Variations by Race and Socioeconomic Status Among Adults at Risk of Diabetes. Psychosomatic Medicine 2022, 84: 813-821. PMID: 35980779, DOI: 10.1097/psy.0000000000001112.Peer-Reviewed Original ResearchMeSH KeywordsAdultDiabetes Mellitus, Type 2HumansHydrocortisoneHypothalamo-Hypophyseal SystemMiddle AgedPituitary-Adrenal SystemSalivaSocial ClassStress, PsychologicalConceptsDomain-specific stressMeasures of psychosocial stressTrier Social Stress TestAssociated with cortisol recoveryHypothalamic-pituitary-adrenal axis reactivityPsychosocial stressPerceived stressEvidence of effect modificationCortisol responseHigh-SES neighborhoodsHigher perceived stressPsychosocial stress measuresSocioeconomically diverse cohortCortisol recoveryRisk of diabetesAssociated with cortisol responseNeighborhood SESHealth disparitiesEffect modificationNeurobiological stress responseSocioeconomic statusSocial Stress TestSelf-report measuresType 2 diabetesSalivary cortisol response
2018
Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
Wang X, Mukherjee B, Park S. Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014. Environment International 2018, 121: 683-694. PMID: 30316184, PMCID: PMC6268112, DOI: 10.1016/j.envint.2018.09.035.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreAssociated with obesityHeavy metal mixturesHeavy metalsMetal mixturesAssociation of cumulative exposureCumulative exposureComplex survey designEffects of cumulative exposurePhysical activityObesity measuresAdaptive elastic-netChronic conditionsExposure to heavy metalsInteraction of heavy metalsWaist circumferenceTotal body fatNHANES cyclesU.S. adultsEpidemiological researchType 2 diabetes mellitusCorrelated heavy metalSmoking statusHigher BMISkinfold thickness
2017
Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies
Estes J, Rice J, Li S, Stringham H, Boehnke M, Mukherjee B. Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies. Statistics In Medicine 2017, 36: 3895-3909. PMID: 28744888, PMCID: PMC5624850, DOI: 10.1002/sim.7398.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBayes TheoremBiasBiometryBody Mass IndexCase-Control StudiesComputer SimulationDiabetes Mellitus, Type 2Gene-Environment InteractionHumansLogistic ModelsMeta-Analysis as TopicModels, GeneticModels, StatisticalPolymorphism, Single NucleotideRetrospective StudiesConceptsGene-environment independenceGene-environmentEmpirical Bayes estimatorsGene-environment interactionsCase-control studyMeta-analysis settingBayes estimatorsRetrospective likelihood frameworkShrinkage estimatorsMeta-analysisTesting gene-environment interactionsCombination of estimatesFactors body mass indexSimulation studyBody mass indexUnconstrained modelLikelihood frameworkInverse varianceMeta-analysis frameworkFTO geneMass indexGenetic markersEstimationStandard alternativeChatterjee
2016
Incretin-based therapy in type 2 diabetes: An evidence based systematic review and meta-analysis
Waldrop G, Zhong J, Peters M, Goud A, Chen Y, Davis S, Mukherjee B, Rajagopalan S. Incretin-based therapy in type 2 diabetes: An evidence based systematic review and meta-analysis. Journal Of Diabetes And Its Complications 2016, 32: 113-122. PMID: 29074120, DOI: 10.1016/j.jdiacomp.2016.08.018.Peer-Reviewed Original ResearchMeSH KeywordsBlood GlucoseClinical Trials as TopicDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsDrug Therapy, CombinationHumansHypoglycemic AgentsIncretinsConceptsDipeptidyl peptidase-4 inhibitorsOral anti-diabetic agentsGLP-1RABackground therapyGlycemic efficacyWeight lossGlucagon-like peptide-1 receptor agonistsPeptide-1 receptor agonistsActive comparator armLong-acting GLP-1RAType 2 diabetes mellitusPeptidase-4 inhibitorsTreatment of type 2 diabetes mellitusIncretin-based therapiesActive comparator drugShort-acting agentsWeight loss effectsClinical trial evidenceType 2 diabetesRandomized controlled trialsReceptor agonistsAnti-diabetic agentsIncretin therapiesComparator armComparator therapy
2014
Central IKKβ inhibition prevents air pollution mediated peripheral inflammation and exaggeration of type II diabetes
Liu C, Fonken L, Wang A, Maiseyeu A, Bai Y, Wang T, Maurya S, Ko Y, Periasamy M, Dvonch T, Morishita M, Brook R, Harkema J, Ying Z, Mukherjee B, Sun Q, Nelson R, Rajagopalan S. Central IKKβ inhibition prevents air pollution mediated peripheral inflammation and exaggeration of type II diabetes. Particle And Fibre Toxicology 2014, 11: 53. PMID: 25358444, PMCID: PMC4226918, DOI: 10.1186/s12989-014-0053-5.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, MonoclonalAnti-Inflammatory AgentsBenzamidesBlood GlucoseDiabetes Mellitus, Type 2Disease Models, AnimalEnergy MetabolismHypothalamusI-kappa B KinaseInflammationInfliximabInhalation ExposureInjections, IntraventricularInsulinInsulin ResistanceInterleukin-6MiceOxygen ConsumptionParticulate MatterProtein Kinase InhibitorsRisk AssessmentRNA, MessengerThermogenesisTime FactorsTumor Necrosis Factor-alphaThe Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits
Li S, Mukherjee B, Taylor J, Rice K, Wen X, Rice J, Stringham H, Boehnke M. The Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits. Genetic Epidemiology 2014, 38: 416-429. PMID: 24801060, PMCID: PMC4108593, DOI: 10.1002/gepi.21810.Peer-Reviewed Original ResearchMeSH KeywordsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiasBody Mass IndexCase-Control StudiesCholesterol, HDLCohort StudiesDiabetes Mellitus, Type 2Gene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseHumansMeta-Analysis as TopicModels, GeneticPhenotypePolymorphism, Single NucleotideProteinsQuantitative Trait, HeritableConceptsIndividual level dataMeta-analysisInverse-variance weighted meta-analysisEnvironmental heterogeneityGene-environment interaction studiesInverse-variance weighted estimatorMeta-analysis of interactionsStudy of type 2 diabetesGene-environment interactionsBody mass indexMeta-regression approachSingle nucleotide polymorphismsAdaptive weighted estimatorFTO geneType 2 diabetesMass indexMeta-regressionQuantitative traitsSummary statisticsCholesterol dataNucleotide polymorphismsLevel dataUnivariate summary statisticsData harmonizationEnvironmental covariates
2012
Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes
Sun Z, Mukherjee B, Brook R, Gatts G, Yang F, Sun Q, Brook J, Fan Z, Rajagopalan S. Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes. The Science Of The Total Environment 2012, 448: 72-78. PMID: 23182147, PMCID: PMC4548977, DOI: 10.1016/j.scitotenv.2012.10.087.Peer-Reviewed Original ResearchConceptsAir pollution exposureAir pollutionAmbient fine particulate matterMeasures of air pollution exposureImpact of air pollution exposureFine particulate matterExposure to PM2.5Air pollution measurementsPersonal exposure measurementsCreation of novel methodologiesSub-acute exposurePolluted urban environmentsImpact of environmental factorsParticulate matterPollution exposureStudy visitsPollution measurementsType II diabetesProspective cohort studyEnvironmental risk factorsAmbient measurementsII diabetesCohort studyUrban environmentScreening visitComparative Performance of Comorbidity Indices in Predicting Health Care-Related Behaviors and Outcomes among Medicaid Enrollees with Type 2 Diabetes
Ou H, Mukherjee B, Erickson S, Piette J, Bagozzi R, Balkrishnan R. Comparative Performance of Comorbidity Indices in Predicting Health Care-Related Behaviors and Outcomes among Medicaid Enrollees with Type 2 Diabetes. Population Health Management 2012, 15: 220-229. PMID: 22731766, PMCID: PMC4346539, DOI: 10.1089/pop.2011.0037.Peer-Reviewed Original ResearchConceptsChronic disease scoreHealth care-related behaviorsCare-related behaviorsHealth care utilizationElixhauser indexCare utilizationType 2 diabetesHealth-related quality of life comorbidity indexMedicaid enrolleesComorbidity indexPredicting health care utilizationLow-income diabetes patientsPredictors of medication adherenceHealth care characteristicsHealth-related qualityMarketScan Medicaid DatabaseExpenditure dataCare characteristicsPhysician concordanceCare standardsMedication adherenceComorbidity measuresCharlson Comorbidity IndexDiabetes severityComorbidity indicators