| Literature DB >> 36208643 |
Eva Bongaerts1, Laetitia L Lecante2, Hannelore Bové1, Maarten B J Roeffaers3, Marcel Ameloot4, Paul A Fowler2, Tim S Nawrot5.
Abstract
BACKGROUND: Maternal exposure to particulate air pollution during pregnancy has been linked to multiple adverse birth outcomes causing burden of disease later in the child's life. To date, there is a paucity of data on whether or not ambient particles can both reach and cross the human placenta to exert direct effects on fetal organ systems during gestation.Entities:
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Year: 2022 PMID: 36208643 PMCID: PMC9553674 DOI: 10.1016/S2542-5196(22)00200-5
Source DB: PubMed Journal: Lancet Planet Health ISSN: 2542-5196
Figure 1Maternal-perinatal black carbon load and residential black carbon exposure during pregnancy
Association between mothers' black carbon exposure during the whole pregnancy and the amount of black carbon particles present in maternal and cord blood (A) and term placental tissue (B) from 60 mother-neonate pairs of the ENVIRONAGE birth cohort study. In panels A and B, datapoints correspond to the geometric mean black carbon load in each sample, the solid lines indicate the regression lines, and shaded areas show the 95% CIs. (C) Heatmap showing association between different biological samples and black carbon load, with two-sided Pearson correlation. The stronger the positive association, the darker the colour of the blue box and similar for the red colour indicating a negative association.
Figure 2Fetal black carbon load
Presence of intra-tissue black carbon particles in the fetal liver (A), lung (B), brain (C), and preterm placenta (D) samples, as indicated by zoomed in squares and arrows. (E) Plot of log10-transformed number of detected black carbon particles in each sample (fetal liver n=36, lung n=36, brain n=14, and preterm placenta n=36), with datapoints corresponding to geometric mean black carbon load in each sample, with horizontal lines showing the geometric mean, and the whiskers showing the corresponding 95% CIs. (F) Heat map of association between black carbon load in different tissues, with corresponding two-sided Pearson correlation values. The stronger the positive association, the darker the colour of the blue box and similar for the red colour indicating a negative association.