About this item:

88 Views | 28 Downloads

Author Notes:

Hyeong-Moo Shin, Ph.D., Department of Earth and Environmental Sciences, University of Texas, Arlington, 500 Yates Street, Box 19049, Arlington, TX, 76019. Voice: 949-648-1614. Email: hyeongmoo.shin@uta.edu

Hyeong-Moo Shin: Conceptualization, Methodology, Writing - original draft. Jiwon Oh: Writing - review & editing. Kyunghoon Kim: Writing - review & editing. Stefanie A. Busgang: Methodology, Writing - review & editing. Dana Boyd Barr: Methodology, Funding acquisition, Writing - review & editing. Parinya Panuwet: Methodology, Writing - review & editing. Rebecca J. Schmidt: Funding acquisition, Writing - review & editing. Irva Hertz-Picciotto: Funding acquisition, Writing - review & editing, Methodology. Deborah Bennett: Writing - review & editing, Methodology, Funding acquisition.

We would like to thank the MARBLES study participants for making this research possible. We would also like to acknowledge Grace Lee and Priya D’Souza for their contribution to laboratory analyses at Emory University’s LEADER. We also acknowledge Dr. Kelly K. Ferguson at the National Institute of Environmental Health Sciences (NIEHS) and Dr. John D. Meeker at the University of Michigan School of Public Health who kindly provided annual GM biomarker concentrations measured in LIFECODES and PROTECT studies, respectively. Lab and epidemiological data for the MARBLES cohort are hosted at the CHEAR Data Center Repository (https://cheardatacenter.mssm.edu/) under the following DOIs: 10.36043/CHEAR-2016-1449-UEP_Trim1, 10.36043/CHEAR-2016-1449-UEP_Trim2_3, 10.36043/CHEAR-2016-1449-Covars, 10.36043/CHEAR-2016-1449-Demo, 10.36043/CHEAR-2016-1449-Outcome,10.36043/CHEAR-2016-1449-Spec.

The authors declare that they have no actual or potential competing financial interest.

Subjects:

Research Funding:

This research was supported by grants from the National Institutes of Health (R21-ES025551, R21-ES028131, R01-ES020392, R24-ES028533, P30-ES023513, P01-ES011269, U2C-ES026555, U2C-ES026560, P30-ES019776, U54-HD079125, UH3-OD023342), and the U.S. Environmental Protection Agency (83543201), and UC Daivs MIND Institute.

Keywords:

  • Science & Technology
  • Technology
  • Life Sciences & Biomedicine
  • Engineering, Environmental
  • Environmental Sciences
  • Engineering
  • Environmental Sciences & Ecology
  • biospecimens
  • exposure misclassification
  • pooling
  • reproducibility
  • sample type
  • BISPHENOL-A EXPOSURE
  • PRENATAL EXPOSURE
  • FETAL EXPOSURE
  • ENVIRONMENTAL PHENOLS
  • REPRODUCTIVE HEALTH
  • SPOT SAMPLES
  • PREDICTORS
  • WOMEN
  • ASSOCIATION
  • TRICLOSAN

Variability of Urinary Concentrations of Phenols, Parabens, and Triclocarban during Pregnancy in First Morning Voids and Pooled Samples

Tools:

Journal Title:

ENVIRONMENTAL SCIENCE & TECHNOLOGY

Volume:

Volume 55, Number 23

Publisher:

, Pages 16001-16010

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Urinary concentrations of phenols, parabens, and triclocarban have been extensively used as biomarkers of exposure. However, because these compounds are quickly metabolized and excreted in urine, characterizing participants’ long-term average exposure from a few spot samples is challenging. To examine the variability of urinary concentrations of these compounds during pregnancy, we quantified four phenols, four parabens, and triclocarban in 357 first morning voids (FMVs) and 203 pooled samples collected during the second and third trimesters of 173 pregnancies. We computed intraclass correlation coefficients (ICCs) by the sample type (FMV and pool) across two trimesters and by the number of composite samples in pools, ranging from 2 to 4, within the same trimester. Among the three compounds detected in more than 50% of the samples, the ICCs across two trimesters were higher in pools (0.29-0.68) than in FMVs (0.17-0.52) and the highest ICC within the same trimester was observed when pooling either two or three composites. Methyl paraben and propyl paraben primarily exposed via cosmetic use had approximately 2-3 times higher ICCs than bisphenol A primarily exposed via diet. Our findings support that within-subject pooling of biospecimens can increase the reproducibility of pregnant women’s exposure to these compounds and thus could potentially minimize exposure misclassification.
Export to EndNote