Early pregnancy essential and non-essential metal mixtures and gestational glucose concentrations in the 2nd trimester: Results from project viva

Environment International

Sheryl L. Rifas-Shiman¹  Marc G. Weisskopf¹  Paige L. Williams²  Robert O. Wright³  Emily Oken⁴  Andres Cardenas⁵  Yinnan Zheng⁵  Marie-France Hivert⁶  Birgit Claus Henn⁶  Chitra Amarasiriwardena⁷  Tamarra James-Todd⁷  Pi-I Debby Lin⁷ 

[1] Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA;Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA;Department of Environmental Health Sciences, University of California, Berkeley School of Public Health, Berkeley, CA, USA;Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA;Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA;Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA;Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA;

关键词: Metal mixtures;    Blood glucose concentrations;    Gestational diabetes;    Bayesian Kernel Machine Regression;   

DOI  :  

来源: DOAJ

【 摘 要 】

Metals are involved in glucose metabolism, and some may alter glycemic regulation. However, joint effects of essential and non-essential metals on glucose concentrations during pregnancy are unclear. This study explored the joint associations of pregnancy exposures to essential (copper, magnesium, manganese, selenium, zinc) and non-essential (arsenic, barium, cadmium, cesium, lead, mercury) metals with gestational glucose concentrations using 1,311 women enrolled 1999–2002 in Project Viva, a Boston, MA-area pregnancy cohort. The study measured erythrocyte metal concentrations from 1st trimester blood samples and used glucose concentrations measured 1 h after non-fasting 50-gram glucose challenge tests (GCT) from clinical gestational diabetes screening at 26–28 weeks gestation. Bayesian Kernel Machine Regression (BKMR) and quantile-based g-computation were applied to model the associations of metal mixtures—including their interactions—with glucose concentrations post-GCT. We tested for reproducibility of BKMR results using generalized additive models. The BKMR model showed an inverse U-shaped association for barium and a linear inverse association for mercury. Specifically, estimated mean glucose concentrations were highest around 75th percentile of barium concentrations [2.1 (95% confidence interval: −0.2, 4.4) mg/dL higher comparing to the 25th percentile], and each interquartile range increase of erythrocyte mercury was associated with 1.9 mg/dL lower mean glucose concentrations (95% credible interval: −4.2, 0.4). Quantile g-computation showed joint associations of all metals, essential-metals, and non-essential metals on gestational glucose concentrations were all null, however, we observed evidences of interaction for barium and lead. Overall, we found early pregnancy barium and mercury erythrocytic concentrations were associated with altered post-load glucose concentrations in later pregnancy, with potential interactions between barium and lead.

【 授权许可】

Unknown