Urinary trace metals individually and in mixtures in association with preterm birth. (December 2018)

• Record Type: Journal Article
• Authors: Kim, Stephani S.; Meeker, John D.; Carroll, Rachel; Zhao, Shanshan; Mourgas, Michael J.; Richards, Michael J.; Aung, Max; Cantonwine, David E.; McElrath, Thomas F.; Ferguson, Kelly K.
• Is Part Of: Environment international. Volume 121(2018)Part 1
• Page Start: 582
• Page End: 590
• Publication Date: 2018-12
• Subjects: ART assisted reproductive technology -- BMI body mass index -- CHEAR Children's Health and Exposure Assessment Resource -- ENET elastic net -- GLM generalized linear model -- PCA principal component analysis -- PC principal component -- PTB preterm birth -- SG specific gravity; Metals -- Preterm birth -- Mixtures analysis; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2018.09.052
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: One in ten infants born in the United States is born preterm, or prior to 37 weeks gestation. Exposure to elevated levels of metals, such as lead and arsenic, has been linked to higher risk of preterm birth (PTB), but consequences of lower levels of exposure and less studied metals are unclear. We examined the associations between 17 urinary trace metals individually and in mixtures in relation to PTB. The LIFECODES birth cohort enrolled pregnant women at <15 weeks gestation at Brigham and Women's Hospital in Boston. We selected cases of PTB ( n = 99) and unmatched controls ( n = 291) and analyzed urine samples for a panel of trace metals (median: 26 weeks gestation). We used logistic regression models to calculate the odds ratio (OR) for PTB and subtypes of PTB based on presentation at delivery. Subtypes included spontaneous and placental PTB. We used elastic net (ENET) regularization to identify individual metals or pairwise interactions that had the strongest associations with PTB, and principal components analysis (PCA) to identify classes of exposures associated with the outcome. We observed increased odds of PTB (OR: 1.41, 95% Confidence Interval [CI]: 1.12, 1.78) in association with an interquartile range difference in urinary copper (Cu). We also observed an increased OR for selenium (OR: 1.33, 95% CI: 0.98, 1.81). ENET selected Cu as the most important trace metal associated with PTB. PCA identified 3 principal components (PCs) that roughly reflected exposure to toxic metals, essential metals, and metals with seafood as a common source of exposure. PCs reflecting essential metals were associated with increased odds of overall and spontaneous PTB. Maternal urinary copper in the third trimester was associated with increased risk of PTB, and statistical analyses for mixtures indicated that after accounting for correlation this metal was the most important statistical predictor of the outcome. Highlights: We analyzed 17 urinary trace metals in collaboration with the Children's Health and Exposure Assessment Resource (CHEAR). Urinary Cu concentrations from third trimester were associated with increased odds of preterm birth in single pollutant model Elevated concentrations of essential trace metals, Se and Zn, also had a positive association with increased odds of preterm birth ENET and PCA results confirmed findings from the single pollutant models.