Allison Kupsco1, Haotian Wu2, Antonia M Calafat3, Marianthi-Anna Kioumourtzoglou2, Marcela Tamayo-Ortiz4, Ivan Pantic5, Alejandra Cantoral6, Maricruz Tolentino5, Emily Oken7, Joseph M Braun8, Andrea L Deierlein9, Robert O Wright10, Martha M Téllez-Rojo6, Andrea A Baccarelli2, Allan C Just10. 1. Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA. Electronic address: Ak4181@cumc.columbia.edu. 2. Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA. 3. National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA. 4. Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico; National Council of Science and Technology, Mexico. 5. National Institute of Perinatology, Mexico City, Mexico. 6. Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico. 7. Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. 8. Department of Epidemiology, Brown University, Providence, RI, USA. 9. Department of Epidemiology, School of Global Public Health, New York University, New York, NY, USA. 10. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Abstract
BACKGROUND: Prenatal phthalate exposures may affect processes that underlie offspring cardiometabolic health, but findings from studies examining these associations are conflicting. We examined associations between biomarkers of phthalate exposures during pregnancy with child lipid and adipokine levels. METHODS: Data were from 463 mother-child pairs in the PROGRESS cohort of Mexico City. We quantified 15 phthalate metabolites in 2nd and 3rd trimester maternal urine samples and created an average pregnancy measure using the geometric mean. We evaluated the 15 metabolites as nine biomarkers, including four metabolite molar sums. We measured fasting serum triglycerides, non-HDL cholesterol, leptin, and adiponectin in children at the six-year follow-up visit (mean = 6.8 years). We estimated associations using linear regression, Bayesian kernel machine regression (BKMR), and weighted quantile sum (WQS) and assessed effect modification by sex. RESULTS: In BKMR and WQS models, higher concentrations of the total mixture of phthalate biomarkers were associated with lower triglycerides (β = -3.7% [-6.5, -0.78] per 1 unit increase in WQS biomarker index) and non-HDL cholesterol (β = -2.0 [-3.7, -0.25] ng/ml per increase in WQS biomarker index). Associations between individual biomarkers and child outcomes were largely null. We observed some evidence of effect modification by child sex for mono-3-carboxypropyl phthalate (β = 19.4% [1.26, 40.7] per doubling of phthalate) and monobenzyl phthalate (β = -7.6% [-14.4, -0.23]) in girls for adiponectin. CONCLUSIONS: Individual prenatal phthalate biomarkers were not associated with child lipid or adipokine levels. Contrary to our hypothesis, the total phthalate mixture was associated with lower child triglycerides and non-HDL cholesterol.
BACKGROUND: Prenatal phthalate exposures may affect processes that underlie offspring cardiometabolic health, but findings from studies examining these associations are conflicting. We examined associations between biomarkers of phthalate exposures during pregnancy with child lipid and adipokine levels. METHODS: Data were from 463 mother-child pairs in the PROGRESS cohort of Mexico City. We quantified 15 phthalate metabolites in 2nd and 3rd trimester maternal urine samples and created an average pregnancy measure using the geometric mean. We evaluated the 15 metabolites as nine biomarkers, including four metabolite molar sums. We measured fasting serum triglycerides, non-HDL cholesterol, leptin, and adiponectin in children at the six-year follow-up visit (mean = 6.8 years). We estimated associations using linear regression, Bayesian kernel machine regression (BKMR), and weighted quantile sum (WQS) and assessed effect modification by sex. RESULTS: In BKMR and WQS models, higher concentrations of the total mixture of phthalate biomarkers were associated with lower triglycerides (β = -3.7% [-6.5, -0.78] per 1 unit increase in WQS biomarker index) and non-HDL cholesterol (β = -2.0 [-3.7, -0.25] ng/ml per increase in WQS biomarker index). Associations between individual biomarkers and child outcomes were largely null. We observed some evidence of effect modification by child sex for mono-3-carboxypropyl phthalate (β = 19.4% [1.26, 40.7] per doubling of phthalate) and monobenzyl phthalate (β = -7.6% [-14.4, -0.23]) in girls for adiponectin. CONCLUSIONS: Individual prenatal phthalate biomarkers were not associated with child lipid or adipokine levels. Contrary to our hypothesis, the total phthalate mixture was associated with lower child triglycerides and non-HDL cholesterol.
Authors: David E Cantonwine; José F Cordero; Luis O Rivera-González; Liza V Anzalota Del Toro; Kelly K Ferguson; Bhramar Mukherjee; Antonia M Calafat; Noe Crespo; Braulio Jiménez-Vélez; Ingrid Y Padilla; Akram N Alshawabkeh; John D Meeker Journal: Environ Int Date: 2013-10-24 Impact factor: 9.621
Authors: Jennifer F Bobb; Linda Valeri; Birgit Claus Henn; David C Christiani; Robert O Wright; Maitreyi Mazumdar; John J Godleski; Brent A Coull Journal: Biostatistics Date: 2014-12-22 Impact factor: 5.279
Authors: Joseph M Braun; Rosalind J Wright; Allan C Just; Melinda C Power; Marcela Tamayo Y Ortiz; Lourdes Schnaas; Howard Hu; Robert O Wright; Martha Maria Tellez-Rojo Journal: Environ Health Date: 2014-06-10 Impact factor: 5.984
Authors: Allison Kupsco; Haotian Wu; Antonia M Calafat; Marianthi-Anna Kioumourtzoglou; Alejandra Cantoral; Marcela Tamayo-Ortiz; Ivan Pantic; Maria Luisa Pizano-Zárate; Emily Oken; Joseph M Braun; Andrea L Deierlein; Robert O Wright; Martha M Téllez-Rojo; Andrea A Baccarelli; Allan C Just Journal: Environ Res Date: 2021-09-23 Impact factor: 8.431
Authors: Pahriya Ashrap; Max T Aung; Deborah J Watkins; Bhramar Mukherjee; Zaira Rosario-Pabón; Carmen M Vélez-Vega; Akram Alshawabkeh; José F Cordero; John D Meeker Journal: J Expo Sci Environ Epidemiol Date: 2022-01-24 Impact factor: 6.371