Environment International (Apr 2020)

Concentrations of rare earth elements in maternal serum during pregnancy and risk for fetal neural tube defects

  • Jing Wei,
  • Chengrong Wang,
  • Shengju Yin,
  • Xin Pi,
  • Lei Jin,
  • Zhiwen Li,
  • Jufen Liu,
  • Linlin Wang,
  • Chenghong Yin,
  • Aiguo Ren

Journal volume & issue
Vol. 137

Abstract

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Rare earth elements (REEs) are ubiquitous in the environment. Animal experiments have shown that many REEs have adverse impacts on the health of fetuses. However, data from humans are scarce. In this study, we examined the associations between concentrations of 10 REEs in maternal serum and the risk for fetal neural tube defects (NTDs). The study included 200 pregnant women with pregnancies affected by NTDs and 400 pregnant women with healthy fetuses/infants. Fifteen REEs in maternal serum were assessed; 10 of them were detectable in over 60% of samples and were included in statistical analyses, including lanthanum (La), cerium (Ce), praseodymium (Pr), neodymium (Nd), samarium (Sm), europium (Eu), terbium (Tb), dysprosium (Dy), lutetium (Lu), and yttrium (Y). When the elements were considered individually with the use of Logistic regression model, the risk for NTDs increased by 2.78-fold (1.25–6.17) and 4.31-fold (1.93–9.62) for La, and 1.52-fold (0.70–3.31) and 4.73-fold (2.08–10.76) for Ce, in the second and third tertiles, respectively, compared to the lowest concentration tertile. When Bayesian kernel machine regression was used to examine the joint effect of exposure to all 10 REEs, the risk for NTDs increased with overall levels of these REEs and the association between La and NTD risk remained when other nine elements were taken into consideration simultaneously. Taken together, this study shows that the risk for NTDs increases with La concentrations when single REEs are considered and with concentrations of all 10 REEs when these REEs are considered as a co-exposure mixture. Keywords: Rare earth element, Neural tube defect, Serum, Pregnancy, Bayesian kernel machine regression