2024
Prenatal per- and polyfluoroalkyl substances (PFAS) and maternal oxidative stress: Evidence from the LIFECODES study
Siwakoti R, Park S, Ferguson K, Hao W, Cantonwine D, Mukherjee B, McElrath T, Meeker J. Prenatal per- and polyfluoroalkyl substances (PFAS) and maternal oxidative stress: Evidence from the LIFECODES study. Chemosphere 2024, 360: 142363. PMID: 38768789, PMCID: PMC11487489, DOI: 10.1016/j.chemosphere.2024.142363.Peer-Reviewed Original ResearchFetal sexMaternal raceEffect modificationOS biomarkersOxidative stressPre-pregnancy BMIAdverse pregnancy outcomesNo significant effect modificationMaternal oxidative stressPlasma PFASsSignificant effect modificationInterquartile range increasePositive associationExposure to OSPre-pregnancyPregnancy outcomesMaternal ageMultivariate linear regressionSex-specific effectsLinear mixed-effects modelsPotential confoundersInsurance statusRange increaseEndocrine functionEducation levelCross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts
Suthar H, Manea T, Pak D, Woodbury M, Eick S, Cathey A, Watkins D, Strakovsky R, Ryva B, Pennathur S, Zeng L, Weller D, Park J, Smith S, DeMicco E, Padula A, Fry R, Mukherjee B, Aguiar A, Geiger S, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero J, Zimmerman E, Woodruff T, Morello-Frosch R, Schantz S, Meeker J, Alshawabkeh A, Aung M, Outcomes O. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts. Environmental Science And Technology 2024, 58: 8264-8277. PMID: 38691655, PMCID: PMC11097396, DOI: 10.1021/acs.est.4c00094.Peer-Reviewed Original ResearchConceptsPFAS mixtureLinear mixed modelsBioactive lipidsChild health outcomesCross-sectional associationsPrenatal PFAS exposureBioactive lipid levelsPoly-fluoroalkyl substancesQuantile g-computationMixed modelsGestational outcomesHealth outcomesPregnancy outcomesPregnant womenCombined cohortG-computationCohort analysisProgram cohortQuartile increaseLipid levelsCohortPositive associationMeta-analysisEnvironmental influencesPFAS exposure
2023
Per- and Polyfluoroalkyl Substances (PFAS) and Lipid Trajectories in Women 45–56 Years of Age: The Study of Women’s Health Across the Nation
Kang H, Ding N, Karvonen-Gutierrez C, Mukherjee B, Calafat A, Park S. Per- and Polyfluoroalkyl Substances (PFAS) and Lipid Trajectories in Women 45–56 Years of Age: The Study of Women’s Health Across the Nation. Environmental Health Perspectives 2023, 131: 087004. PMID: 37552133, PMCID: PMC10408595, DOI: 10.1289/ehp12351.Peer-Reviewed Original ResearchConceptsStudy of Women's HealthOdds ratioWomen's HealthMidlife womenConfidence intervalsFavorable blood lipid profileEstimate odds ratiosAdverse effects of PFASSerum PFAS concentrationsLatent class growth modelingLongitudinal trajectoriesAssociated with totalMenopausal transitionAssociated with trajectoriesLow-density lipoprotein (LDL) cholesterolHigh-density lipoprotein (HDL) cholesterolLipid trajectoriesAverage follow-upBlood total cholesterolBlood lipid profileTriglycerides trajectoriesEpidemiological studiesPositive associationBlood lipidsLDL cholesterol
2022
Predicting cumulative lead (Pb) exposure using the Super Learner algorithm
Wang X, Bakulski K, Mukherjee B, Hu H, Park S. Predicting cumulative lead (Pb) exposure using the Super Learner algorithm. Chemosphere 2022, 311: 137125. PMID: 36347347, PMCID: PMC10160242, DOI: 10.1016/j.chemosphere.2022.137125.Peer-Reviewed Original ResearchConceptsPatella leadNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyLong-term health effectsPopulation-based studyK-shell X-ray fluorescenceNormative Aging StudyCumulative lead exposureEvaluate health effectsExamination SurveyLead concentrationsBone lead measurementsAging StudyTibia leadPositive associationStudy populationHealth effectsRegression-based predictive modelBone lead concentrationsBlood pressureFlexible machine learning approachCorrelation coefficientX-ray fluorescence techniqueLead measurementsMaternal blood metal concentrations are associated with C-reactive protein and cell adhesion molecules among pregnant women in Puerto Rico
Kim C, Cathey A, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Maternal blood metal concentrations are associated with C-reactive protein and cell adhesion molecules among pregnant women in Puerto Rico. Environmental Epidemiology 2022, 6: e214. PMID: 35975168, PMCID: PMC9374188, DOI: 10.1097/ee9.0000000000000214.Peer-Reviewed Original ResearchVascular cell adhesion moleculeC-reactive proteinLevels of C-reactive proteinAssociated with C-reactive proteinCell adhesion moleculesAdverse birth outcomesIntercellular adhesion moleculeFetal sexAdhesion moleculesBirth outcomesPregnant womenLinear mixed effects modelsVisit 3Visit 1Maternal C-reactive proteinCustomized Luminex assaySignificant associationBlood samplesPositive associationPrenatal metal exposureWeeks gestationLuminex assayMale fetusesBirth cohortAssessed associationsPer- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation
Ding N, Karvonen-Gutierrez C, Mukherjee B, Calafat A, Harlow S, Park S. Per- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation. Hypertension 2022, 79: 1876-1886. PMID: 35695012, PMCID: PMC9308661, DOI: 10.1161/hypertensionaha.121.18809.Peer-Reviewed Original ResearchConceptsHazard ratioIncident hypertensionLowest tertileHighest tertileStudy of Women's HealthFree of hypertensionCalculate hazard ratiosAnnual follow-up visitsCardiovascular disease riskCox proportional hazards modelsQuantile g-computationWomen's cardiovascular disease riskWomen's HealthNo significant associationProportional hazards modelMidlife womenFollow-up visitG-computationDisease riskBlood pressure controlSerum concentrationsSignificant associationPositive associationHazards modelTertile
2021
Per- and Polyfluoroalkyl Substances and Hormone Levels During the Menopausal Transition
Harlow S, Hood M, Ding N, Mukherjee B, Calafat A, Randolph J, Gold E, Park S. Per- and Polyfluoroalkyl Substances and Hormone Levels During the Menopausal Transition. The Journal Of Clinical Endocrinology & Metabolism 2021, 106: e4427-e4437. PMID: 34181018, PMCID: PMC8677593, DOI: 10.1210/clinem/dgab476.Peer-Reviewed Original ResearchConceptsMidlife womenSex hormone-binding globulinFollicle-stimulating hormoneInverse associationStudy of Women's HealthPositive associationMenopausal transitionBody mass indexReproductive ageWomen's HealthSignificant linear trendNo significant associationNulliparous womenLinear mixed modelsSmoking statusYears of ageMass indexHormone-binding globulinMenopausal statusLongitudinal serum concentrationsSignificant associationSerum PFAS concentrationsMidlifeWomenPolyfluoroalkyl substances
2017
Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES
Park S, Zhao Z, Mukherjee B. Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES. Environmental Health 2017, 16: 102. PMID: 28950902, PMCID: PMC5615812, DOI: 10.1186/s12940-017-0310-9.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreBayesian kernel machine regressionNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreAssociated with odds ratiosNutrition Examination SurveyAssociated with systolicExamination SurveyMulti-pollutant approachKernel machine regressionPollutant mixturesSD increaseEpidemiological researchDiastolic blood pressureMortality outcomesOdds ratioBayesian additive regression treesDisease endpointsHealth endpointsCumulative riskPositive associationEnvironmental exposuresIntermediate markersCardiovascular disease