4.8 Article

Individual and joint effects of phthalate metabolites on biomarkers of oxidative stress among pregnant women in Puerto Rico

Journal

ENVIRONMENT INTERNATIONAL
Volume 154, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2021.106565

Keywords

Phthalate; Oxidative stress; Mixtures analysis; Birth cohort

Funding

  1. Superfund Research Program of the National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH) [P42ES017198]
  2. NIEHS [R01ES032203, R01ES031591, P30ES017885]
  3. Environmental influences on Child Health Outcomes (ECHO) program [UH3OD023251]
  4. NIH, Office of the Director

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Exposure to phthalate mixtures was strongly associated with linear increases in biomarkers of lipid oxidative stress, with differences observed between hypothesized chemical and enzymatic lipid peroxidation outcomes.
Exposures to phthalate compounds have been linked to adverse birth outcomes, potentially through oxidative stress mechanisms. We explored associations between mixtures of biomarkers of phthalate and phthalate replacement metabolites and oxidative stress using lipid peroxidation biomarker 8-iso-prostaglandin-F2 alpha (8-isoPGF2 alpha). As 8-iso-PGF2 alpha can be generated via both chemical (nonenzymatic) and enzymatic lipid peroxidation pathways, we calculated the ratio of 8-iso-PGF2 alpha/prostaglandin F2 alpha in an attempt to distinguish the potential contributions of the two pathways. Urinary biomarker measurements were taken from 775 pregnant women in the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) longitudinal birth cohort at up to three time points during gestation (16-20, 20-24, and 24-28 weeks gestation). Adaptive elastic net with pairwise linear interaction terms (adENET-I) was used to determine individual phthalate metabolites and phthalate interactions that were predictive of lipid oxidative stress biomarkers, and to subsequently create environmental risk scores (ERS) to represent weighted sums of phthalate exposure for each individual at each study visit. Repeated ERS were then used in linear mixed effects models to test for associations between biomarkers of phthalate mixtures and biomarkers of oxidative stress. We also used Bayesian kernel machine regression (BKMR) to explore nonlinearity and interactions between phthalate metabolites within the mixture. An increase from the first to fourth quartile of phthalate ERS derived from adENET-I was associated with a 96.7% increase (95% CI: 74.0, 122) in the hypothesized chemical fraction of 8-iso-PGF2 alpha and a 268% increase (95% CI: 139, 465) in the hypothesized enzymatic fraction of 8-iso-PGF2 alpha. BKMR analyses also suggested strong linear associations between the phthalate mixture and biomarkers of lipid oxidative stress. Various phthalates displayed nonlinear relationships with both chemical and enzymatic fractions of 8-iso-PGF2 alpha, and we observed some evidence of interactions between metabolites in the mixture. In conclusion, exposure to phthalate mixtures was strongly associated with linear increases in biomarkers of lipid oxidative stress, and differences observed between hypothesized chemical and enzymatic lipid peroxidation outcomes highlight the need to critically assess pathways of 8-iso-PGF2 alpha generation in relation to environmental exposures.

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