4.5 Article

Urinary metals and maternal circulating extracellular vesicle microRNA in the MADRES pregnancy cohort

Journal

EPIGENETICS
Volume 17, Issue 10, Pages 1128-1142

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15592294.2021.1994189

Keywords

Metals; mixtures; miRNA; extracellular vesicles; pregnancy

Funding

  1. National Institutes of Environmental Health Sciences (NIEHS) [R00 ES030400, P50 ES026086, P30 ES007048]
  2. National Institute on Minority Health and Health Disparities [R01 MD011698, P50 MD015705]
  3. National Institutes of Health Office of the Director grant [4UH3 OD023287-03]
  4. U.S. Environmental Protection Agency [836158010]
  5. NIEHS, Children's Health Exposure Analysis Resource (CHEAR) [U2C ES026555, U2C ES026553]
  6. NIEHS

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The study investigated the association between maternal circulating EV miRNA and multiple metal exposures during pregnancy. In early pregnancy, 35 miRNA were associated with at least one metal, while a negative association between cobalt and miR-150-5p remained statistically significant in late pregnancy. Eight miRNA were associated with barium, mercury, and thallium in early pregnancy, with predicted target genes enriched in pathways important for placental development.
Exposure to metals increases risk for pregnancy complications. Extracellular vesicle (EV) miRNA contribute to maternal-foetal communication and are dysregulated in pregnancy complications. However, metal impacts on maternal circulating EV miRNA during pregnancy are unknown. Our objective was to investigate the impact of multiple metal exposures on EV miRNA in maternal circulation during pregnancy in the MADRES Study. Associations between urinary concentrations of nine metals and 106 EV miRNA in maternal plasma during pregnancy were investigated using robust linear regression (N = 231). Primary analyses focused on metal-miRNA associations in early pregnancy (median: 12.3 weeks gestation). In secondary analyses, we investigated associations with late pregnancy miRNA counts (median: 31.8 weeks gestation) in a subset of participants (N = 184) with paired measures. MiRNA associated with three or more metals (P-FDR<0.05) were further investigated using Bayesian Kernel Machine Regression (BKMR), an environmental mixture method. Thirty-five miRNA were associated (P-FDR<0.05) with at least one metal in early pregnancy. One association (an inverse association between cobalt and miR-150-5p) remained statistically significant when evaluating late pregnancy miRNA counts. Eight miRNA (miR-302b-3p, miR-199a-5p, miR-188-5p, miR-138-5p, miR-212-3p, miR-608, miR-1272, miR-19b-3p) were associated with three metals (barium, mercury, and thallium) in early pregnancy, and their predicted target genes were enriched in pathways important for placental development. Results were consistent when using BKMR. Early pregnancy exposure to barium, mercury, and thallium may have short-term impacts on a common set of EV miRNA which target pathways important for placental development.

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