2023
A Synthetic Data Integration Framework to Leverage External Summary-Level Information from Heterogeneous Populations
Gu T, Taylor J, Mukherjee B. A Synthetic Data Integration Framework to Leverage External Summary-Level Information from Heterogeneous Populations. Biometrics 2023, 79: 3831-3845. PMID: 36876883, PMCID: PMC10480346, DOI: 10.1111/biom.13852.Peer-Reviewed Original ResearchConceptsCovariate effectsStatistical inferenceHeterogeneity of covariate effectsRegression coefficient estimatesSummary-level informationImprove statistical inferenceInternational studiesOutcome YCovariate informationData integration frameworkStatistical efficiencyCoefficient estimatesPartial informationExternal populationGeneral frameworkIndividual-level dataRisk prediction modelExternal modelPrediction problemInternational study populationMultiple imputation
2022
Biomarkers of Exposure to Phthalate Mixtures and Adverse Birth Outcomes in a Puerto Rico Birth Cohort
Cathey A, Watkins D, Rosario Z, Vélez C, Mukherjee B, Alshawabkeh A, Cordero J, Meeker J. Biomarkers of Exposure to Phthalate Mixtures and Adverse Birth Outcomes in a Puerto Rico Birth Cohort. Environmental Health Perspectives 2022, 130: 037009. PMID: 35333099, PMCID: PMC8953418, DOI: 10.1289/ehp8990.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthPreterm birthFetal sexGestational agePregnancy outcomesBirth outcomesBayesian kernel machine regressionPhthalate metabolitesRisk of early deliveryAssociated with increased odds of PTBOdds of preterm birthPhthalate mixtureReduced gestational ageIndividual phthalate metabolitesMeasures of birth weightAssociated with increased riskPhthalate metabolite mixturesAdverse birth outcomesAssociated with increased oddsPuerto Rico TestsiteEnvironmental risk scoreEarly deliveryBirth weightPregnancy cohortLongitudinal pregnancy cohortMaternal urinary phthalate metabolites are associated with lipidomic signatures among pregnant women in Puerto Rico
Ashrap P, Aung M, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Maternal urinary phthalate metabolites are associated with lipidomic signatures among pregnant women in Puerto Rico. Journal Of Exposure Science & Environmental Epidemiology 2022, 32: 384-391. PMID: 35075242, PMCID: PMC9124693, DOI: 10.1038/s41370-022-00410-3.Peer-Reviewed Original ResearchConceptsUrinary phthalate metabolitesPhthalate metabolitesPlasmenyl-phosphatidylcholinesPregnant womenPuerto Rico PROTECT cohortPhthalate exposureLipidomic profilesMaternal urinary phthalate metabolitesWeeks of pregnancyMetabolite biomarkersMetabolites of di-2-ethylhexyl phthalateChild health outcomesCirculating lipid concentrationsLipidomic markersShotgun lipidomicsFatty acid chainsLipidomic signaturePROTECT cohortLipid profileCell-to-cell signalingImpactThis studyPregnancyAcid chainsPlasma samplesHealth outcomes
2021
Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting
Ashrap P, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting. Environmental Research 2021, 200: 111435. PMID: 34097892, PMCID: PMC8403638, DOI: 10.1016/j.envres.2021.111435.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCohort StudiesFemaleHumansInfant, NewbornMetalsPregnancyPremature BirthPuerto RicoConceptsEnvironmental risk scoreIntraclass correlation coefficientBirth outcomesBody mass indexWeighted quantile sumOdds ratio of preterm birthSecond-hand smoke exposurePre-pregnancy body mass indexOdds of preterm birthAssociated with birth outcomesIncreased odds of preterm birthPractice study designHealth effectsPreterm birthMaternal educationIncreased oddsOdds ratioSmoke exposureStudy designMaternal ageMass indexArea under the curveRisk scoreLogistic regressionConfidence intervalsIndividual and joint effects of phthalate metabolites on biomarkers of oxidative stress among pregnant women in Puerto Rico
Cathey A, Eaton J, Ashrap P, Watkins D, Rosario Z, Vega C, Alshawabkeh A, Cordero J, Mukherjee B, Meeker J. Individual and joint effects of phthalate metabolites on biomarkers of oxidative stress among pregnant women in Puerto Rico. Environment International 2021, 154: 106565. PMID: 33882432, PMCID: PMC9923976, DOI: 10.1016/j.envint.2021.106565.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremBiomarkersFemaleHumansOxidative StressPhthalic AcidsPregnancyPregnant WomenPuerto RicoConceptsBayesian kernel machine regressionPhthalate metabolitesEnvironmental risk scoreBiomarkers of oxidative stressPregnant womenPhthalate mixtureBayesian kernel machine regression analysisEffects of phthalate metabolitesOxidative stressIndividual phthalate metabolitesLipid oxidative stressUrinary biomarker measurementsKernel machine regressionAdverse birth outcomesPuerto Rico TestsiteOxidative stress biomarkersChemical fractionationContamination threatLongitudinal birth cohortPhthalate compoundsLinear mixed effects modelsBirth outcomesOxidative stress mechanismsStudy visitsPhthalate exposureCross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches
Aung M, Yu Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Mukherjee B, Meeker J. Cross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches. Environmental Health Perspectives 2021, 129: 037007. PMID: 33761273, PMCID: PMC7990518, DOI: 10.1289/ehp7396.Peer-Reviewed Original ResearchConceptsExposure analytesToxicity classesMixtures of toxicantsSingle-pollutant modelsPolycyclic aromatic hydrocarbonsHierarchical Bayesian kernel machine regressionBayesian kernel machine regressionKernel machine regressionPrenatal toxicant exposureAdaptive elastic net regressionClasses of toxicantsSingle-pollutantTrace metalsAromatic hydrocarbonsToxic mixturePair-wise associationsAdaptive elastic netToxicant exposurePhthalateMachine regressionEndogenous biomarkersBiomarkers indicativeMultiple linear regressionMetalToxicity
2019
Manganese is associated with increased plasma interleukin-1β during pregnancy, within a mixtures analysis framework of urinary trace metals
Aung M, Meeker J, Boss J, Bakulski K, Mukherjee B, Cantonwine D, McElrath T, Ferguson K. Manganese is associated with increased plasma interleukin-1β during pregnancy, within a mixtures analysis framework of urinary trace metals. Reproductive Toxicology 2019, 93: 43-53. PMID: 31881266, PMCID: PMC7138746, DOI: 10.1016/j.reprotox.2019.12.004.Peer-Reviewed Original ResearchConceptsIL-1BBayesian kernel machine regressionKernel machine regressionInterleukin-1bInterquartile range differenceCross-sectional studyAssociated with biomarkersReproductive health outcomesImmune signaling moleculesHealth outcomesLIFECODES birth cohortPregnant womenImmune perturbationsImmune biomarkersBirth cohortUrinary manganeseMachine regressionLinear regressionExposure analytesAssociationSignaling moleculesRegressionPair-wise associationsTrimesterPregnancyPrediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers
Aung M, Yu Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Mukherjee B, Meeker J. Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers. Scientific Reports 2019, 9: 17049. PMID: 31745121, PMCID: PMC6863859, DOI: 10.1038/s41598-019-53448-z.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthPreterm birthMultiple logistic regressionCross-sectional study of pregnant womenAssociation of preterm birthCases of preterm birthStudy of pregnant womenOverall preterm birthPreterm birth casesPreterm birth outcomesCytochrome P450 metabolitesLogistic regressionOxidative stress markersAberrant placentationCross-sectional studyDelivered termCytochrome P450 productPredictive biomarkersPregnant womenPretermEicosanoid metabolitesImmune biomarkersLipoxygenase metabolitesBirth casesResolvin D1Does Information on Blood Heavy Metals Improve Cardiovascular Mortality Prediction?
Wang X, Mukherjee B, Park S. Does Information on Blood Heavy Metals Improve Cardiovascular Mortality Prediction? Journal Of The American Heart Association 2019, 8: e013571. PMID: 31631727, PMCID: PMC6898859, DOI: 10.1161/jaha.119.013571.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk factorsStudy sampleCardiovascular disease risk factorsCardiovascular disease mortalityCardiovascular disease risk assessmentImprove CVD risk predictionC-statisticNutrition Examination SurveyCardiovascular mortality predictionCVD risk predictionCox modelBlood markersExamination SurveyPrecision healthRisk scorePairwise interaction termsBlood metalsIntegrated discrimination improvementRisk predictionReclassification improvementMortality predictionInteraction termsEstimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches.
Boss J, Mukherjee B, Ferguson K, Aker A, Alshawabkeh A, Cordero J, Meeker J, Kim S. Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches. Epidemiology 2019, 30: 746-755. PMID: 31299670, PMCID: PMC6677587, DOI: 10.1097/ede.0000000000001052.Peer-Reviewed Original ResearchConceptsBinary outcome dataLikelihood-based methodsComplete-case analysisDistributional assumptionsAssignment of samplesSuperior estimation propertiesSimulation studyComplete-caseMultiple imputation strategyExposure dataMultiple batchesBatch assignmentEstimated propertiesLimit-variablesSingle imputationMultiple imputationCohort studyUrinary concentrations of phenols in association with biomarkers of oxidative stress in pregnancy: Assessment of effects independent of phthalates
Ferguson K, Lan Z, Yu Y, Mukherjee B, McElrath T, Meeker J. Urinary concentrations of phenols in association with biomarkers of oxidative stress in pregnancy: Assessment of effects independent of phthalates. Environment International 2019, 131: 104903. PMID: 31288179, PMCID: PMC6728185, DOI: 10.1016/j.envint.2019.104903.Peer-Reviewed Original ResearchConceptsUrinary phthalate metabolitesOxidative stress biomarkersNon-null associationsPhthalate metabolitesBiomarkers of oxidative stressInterquartile rangeBenzophenone-3Associated with increasesOutcome biomarkersIncreased maternal oxidative stressStress biomarkersExposure to environmental phenolsOxidative stressReduced fetal growthUrinary oxidative stress biomarkersMaternal oxidative stressEffect estimatesAdaptive elastic net modelStudy populationPreterm birthFetal growthConcentration of phenolUrinary phenolPregnancyUrinary concentrationsA repeated measures study of phenol, paraben and Triclocarban urinary biomarkers and circulating maternal hormones during gestation in the Puerto Rico PROTECT cohort
Aker A, Ferguson K, Rosario Z, Mukherjee B, Alshawabkeh A, Calafat A, Cordero J, Meeker J. A repeated measures study of phenol, paraben and Triclocarban urinary biomarkers and circulating maternal hormones during gestation in the Puerto Rico PROTECT cohort. Environmental Health 2019, 18: 28. PMID: 30940137, PMCID: PMC6444601, DOI: 10.1186/s12940-019-0459-5.Peer-Reviewed Original ResearchConceptsUrinary biomarkersAssociated with adverse birth outcomesAdverse birth outcomesPregnant womenBirth outcomesAdverse outcomesSerum hormonesStudy visitsParaben biomarkersThyroid hormonesParaben exposurePercent changeHormoneBiomarker concentrationsMaternal hormonesBiomarkersOutcomesVisitsAssociationExposureGestationRandom interceptPregnancyThyroid
2018
Influence of viral infection on the relationships between airway cytokines and lung function in asthmatic children
Lewis T, Metitiri E, Mentz G, Ren X, Carpenter A, Goldsmith A, Wicklund K, Eder B, Comstock A, Ricci J, Brennan S, Washington G, Owens K, Mukherjee B, Robins T, Batterman S, Hershenson M. Influence of viral infection on the relationships between airway cytokines and lung function in asthmatic children. Respiratory Research 2018, 19: 228. PMID: 30463560, PMCID: PMC6249926, DOI: 10.1186/s12931-018-0922-9.Peer-Reviewed Original ResearchConceptsViral infectionLung functionAbsence of viral infectionIL-13IL-4Viral-induced asthma exacerbationsRespiratory illnessRespiratory viral infectionsAssociated with increased cytokinesPro-inflammatory cytokinesLung function declineSelf-reported respiratory illnessInfluence of viral infectionAirway cytokinesMDA5 mRNACXCL10 mRNACytokine levelsAirway responsivenessNasal lavageAirflow obstructionAssociated with FVCAsthma exacerbationsAssociated with decreased lung functionInflammatory responseNasal samplesAssociations 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 thicknessAssociations between maternal plasma measurements of inflammatory markers and urinary levels of phenols and parabens during pregnancy: A repeated measures study
Aung M, Ferguson K, Cantonwine D, Bakulski K, Mukherjee B, Loch-Caruso R, McElrath T, Meeker J. Associations between maternal plasma measurements of inflammatory markers and urinary levels of phenols and parabens during pregnancy: A repeated measures study. The Science Of The Total Environment 2018, 650: 1131-1140. PMID: 30308801, PMCID: PMC6236678, DOI: 10.1016/j.scitotenv.2018.08.356.Peer-Reviewed Original ResearchConceptsPlasma inflammatory markersInflammatory markersC-reactive proteinInterquartile range increaseFetal developmentImmunological biomarkersRange increaseTumor necrosis factor-aCase-control studyProspective birth cohortImmune system regulationHealthy pregnancyUrinary phenolSystemic inflammationImmunological mechanismsInterleukin-10Urinary levelsInterleukin-1bPregnancyStudy visitsMultivariate linear mixed modelReproductive outcomesMeasures of exposureInverse probability weightingUrine samplesAssociations between repeated ultrasound measures of fetal growth and biomarkers of maternal oxidative stress and inflammation in pregnancy
Ferguson K, Kamai E, Cantonwine D, Mukherjee B, Meeker J, McElrath T. Associations between repeated ultrasound measures of fetal growth and biomarkers of maternal oxidative stress and inflammation in pregnancy. American Journal Of Reproductive Immunology 2018, 80: e13017. PMID: 29984454, PMCID: PMC6160349, DOI: 10.1111/aji.13017.Peer-Reviewed Original ResearchConceptsAssociated with reduced fetal growthFetal growthAssociated with poorer childAdult health outcomesOxidative stress markersBirth cohort studyInterquartile rangeAssociated with head circumferenceRepeated-measures modelFetal weight z-scoreAssociated with fetal weightOxidative stressHealth outcomesStandard deviation decreaseWeight z-scoreStress markersSecondary analysisMaternal oxidative stressCohort studyZ-scoreFetal weightMaternal inflammationDeviation decreasePreterm birthHead circumferenceAssociations between maternal phenol and paraben urinary biomarkers and maternal hormones during pregnancy: A repeated measures study
Aker A, Johns L, McElrath T, Cantonwine D, Mukherjee B, Meeker J. Associations between maternal phenol and paraben urinary biomarkers and maternal hormones during pregnancy: A repeated measures study. Environment International 2018, 113: 341-349. PMID: 29366524, PMCID: PMC5866216, DOI: 10.1016/j.envint.2018.01.006.Peer-Reviewed Original ResearchConceptsThyroid hormonesAssociated with altered thyroid hormone levelsFetal health outcomesThyroid hormone levelsIQR increaseMultivariate regression analysisGestational ageMultivariate linear regression modelFetal neurodevelopmentPregnant womenFree thyroxinePotential biological mechanismsTime of exposureUrinary biomarkersCohort studyHormone levelsParaben biomarkersTotal triiodothyronineCase-control samplePregnancyBlood samplesTotal thyroxineHormone concentrationsHealth outcomesHormone
2016
Repeated measures of inflammation and oxidative stress biomarkers in preeclamptic and normotensive pregnancies
Ferguson K, Meeker J, McElrath T, Mukherjee B, Cantonwine D. Repeated measures of inflammation and oxidative stress biomarkers in preeclamptic and normotensive pregnancies. American Journal Of Obstetrics And Gynecology 2016, 216: 527.e1-527.e9. PMID: 28043842, PMCID: PMC5420472, DOI: 10.1016/j.ajog.2016.12.174.Peer-Reviewed Original ResearchConceptsTumor necrosis factor-aNormotensive pregnanciesC-reactive proteinMeasures of inflammationHazard ratioOxidative stress biomarkersInterleukin-1bTime pointsInflammation biomarkersStudy visitsTime of preeclampsia diagnosisPrediction of preeclampsiaOxidative stressHigher body mass indexOxidative stress biomarker 8-isoprostaneStress biomarkersCox proportional hazards modelsCompared to other time pointsBody mass indexProspective birth cohortCalculate hazard ratiosSmall study populationPanel of inflammationFactor AProportional hazards modelRepeated measures analysis of associations between urinary bisphenol-A concentrations and biomarkers of inflammation and oxidative stress in pregnancy
Ferguson K, Cantonwine D, McElrath T, Mukherjee B, Meeker J. Repeated measures analysis of associations between urinary bisphenol-A concentrations and biomarkers of inflammation and oxidative stress in pregnancy. Reproductive Toxicology 2016, 66: 93-98. PMID: 27751756, PMCID: PMC5125888, DOI: 10.1016/j.reprotox.2016.10.002.Peer-Reviewed Original ResearchConceptsInterquartile range increaseBisphenol AOxidative stressRange increaseUrinary bisphenol A concentrationsC-reactive proteinBiomarkers of inflammationIL-6 concentrationsAdverse birth outcomesPrimary mechanism of actionAssociated with significant increasesRepeated measures analysisBisphenol A exposureBiomarkers of oxidative stressBisphenol A concentrationsMechanism of actionPregnant womenFetal developmentImpact pregnancyInflammation markersBirth outcomesOxidative stress biomarkersIL-6BPA exposurePregnancyIncreasing efficiency for estimating treatment–biomarker interactions with historical data
Boonstra P, Taylor J, Mukherjee B. Increasing efficiency for estimating treatment–biomarker interactions with historical data. Statistical Methods In Medical Research 2016, 25: 2959-2971. PMID: 24855118, PMCID: PMC5450810, DOI: 10.1177/0962280214535370.Peer-Reviewed Original Research