2024
Cross-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
ExPRSweb: An online repository with polygenic risk scores for common health-related exposures
Ma Y, Patil S, Zhou X, Mukherjee B, Fritsche L. ExPRSweb: An online repository with polygenic risk scores for common health-related exposures. American Journal Of Human Genetics 2022, 109: 1742-1760. PMID: 36152628, PMCID: PMC9606385, DOI: 10.1016/j.ajhg.2022.09.001.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresChronic conditionsPhenome-wide association studyMichigan Genomics InitiativeRisk scoreAssociation studiesHealth-related exposuresGenome-wide association studiesUK BiobankGenetic risk factorsPRS methodsFollow-up studyRisk factorsComplex traitsGenome InitiativeGenetic modifiersBiobankInfluence of exposureEnvironmental variablesScoresLipid levelsExpRLifestyleSmokingOnline repositoryMaternal Metals/Metalloid Blood Levels Are Associated With Lipidomic Profiles Among Pregnant Women in Puerto Rico
Kim C, Ashrap P, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Maternal Metals/Metalloid Blood Levels Are Associated With Lipidomic Profiles Among Pregnant Women in Puerto Rico. Frontiers In Public Health 2022, 9: 754706. PMID: 35096734, PMCID: PMC8790322, DOI: 10.3389/fpubh.2021.754706.Peer-Reviewed Original ResearchConceptsAdverse birth outcomesBlood levelsPlasmenyl-phosphatidylcholinesLipidomic profilesBirth outcomesPlasmenyl phosphatidylethanolamineWeeks of pregnancyPlasma lipidomic profilesMultiple comparisonsLipid sub-classesHeavy metal exposurePolyunsaturated fatty acidsPregnant womenShotgun lipidomicsMetal exposureImportant signaling pathwaysAssessed associationsBiomarker profilesAssociated with lipidEarly detectionBirth cohortDiagnostic toolExposure to manganeseSignaling pathwayFalse discovery rate
2021
Maternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates
Aung M, Ashrap P, Watkins D, Mukherjee B, Rosario Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Maternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates. Scientific Reports 2021, 11: 8115. PMID: 33854141, PMCID: PMC8046995, DOI: 10.1038/s41598-021-87472-9.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthBiomarkers of pregnancy outcomesGestational age neonatesPreterm birthAge neonatesPregnancy outcomesDegree of hydrocarbon chain saturationIncreased riskNeonatal anthropometric parametersAssociated with increased riskPlasmenyl phosphatidylethanolamineMaternal lipidomeWeeks gestationGestational ageLipidomic signatureAnthropometric parametersLiquid chromatography tandem mass spectrometryLipidomic profilesLipid metabolitesHydrocarbon chain saturationPlasma samplesBirthLogistic regressionHigh-performance liquid chromatography tandem mass spectrometryNeonates
2019
Prediction 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 D1
2014
Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels
Park S, Tao Y, Meeker J, Harlow S, Mukherjee B. Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels. PLOS ONE 2014, 9: e98632. PMID: 24901996, PMCID: PMC4047033, DOI: 10.1371/journal.pone.0098632.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreLipid outcomesEpidemiological researchNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreNutrition Examination SurveyAdverse health responsesSocio-demographic factorsMulti-pollutant exposuresDevelopment of chronic diseasesBody mass indexExamination SurveySerum nutrient levelsMulti-pollutant approachSociodemographic factorsHealth responseChronic diseasesSingle-pollutantDisease riskMass indexEpidemiological studiesNHANES studyRisk predictionMulti-pollutants