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Maternal hair segments reveal metal(loid) levels over the course of pregnancy: a preliminary study in Southern China.

Bingqing LiuFengshan CaiBin TangJialu LiXiao YanDongwei DuJing ZhengMingzhong RenYunjiang Yu
Published in: Environmental science. Processes & impacts (2023)
Characterization of metal(loid) variation during pregnancy and identification of the affecting factors are important for assessing pregnancy exposures in epidemiological studies. In this study, maternal hair was collected in three segments (each 3 cm) from pregnant women in Guangzhou, China. Ten metal(loid)s, including six essential trace metal(loid)s and four toxic trace metal(loid)s, were analyzed to investigate the levels of various metal(loid)s during pregnancy and the factors that influence them. Strong pairwise correlations were observed between manganese (Mn), cobalt (Co), and vanadium (V), between selenium (Se), arsenic (As), and antimony (Sb), and between cadmium (Cd) and lead (Pb). All metal(loid)s except for Se, Mn, and Co showed strong correlations among the three hair segments, and most of the metal(loid)s had good reproducibility, with intraclass correlation coefficients (ICCs) ranging from 0.510 to 0.931, except for As (ICC = 0.334), Mn (ICC = 0.231), and Co (ICC = 0.235). Zn levels decreased, while Sb increased, in maternal hair during pregnancy. Maternal sociodemographic characteristics and dietary intake affected metal(loid) levels in maternal hair. These results provide foundational data for using maternal hair segmental analysis to evaluate exposure variation to metal(loid)s during pregnancy and the potential factors associated with them.
Keyphrases
  • pregnancy outcomes
  • pregnant women
  • heavy metals
  • birth weight
  • gene expression
  • gold nanoparticles
  • electronic health record
  • room temperature
  • risk assessment
  • single cell
  • climate change
  • weight loss
  • data analysis