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Physico-chemical properties and gestational diabetes predict transplacental transfer and partitioning of perfluoroalkyl substances
Abstract
BACKGROUND: Per- and polyfluoroalkyl substances (PFASs) are a growing public health concern. Some longer chain PFASs bioaccumulate and many compounds persist in the environment for long time periods. Recent studies have established their ability to pass through placenta, yet data on the transplacental transfer efficiency and partitioning of short and long chain PFASs in blood matrices are limited. OBJECTIVES: To assess predictors of the partitioning of 17 PFAS compounds detected in the maternal serum, umbilical cord serum and whole cord blood samples from matched mother-newborn pairs from two Faroe Islands cohorts. METHODS: We examined 151 mother-newborn pairs from two successive Faroese birth cohorts. Cord:maternal serum (transplacental transfer) and serum:whole cord blood (blood partitioning) ratios were estimated for 17 PFAS compounds. We also examined the relationships of these ratios with maternal, newborns', and physico-chemical properties using multivariable regression analyses. RESULTS: Moderate to high correlations were observed between maternal and cord serum PFAS concentrations (ρ: 0.41 to 0.95), indicating significant transfer of these compounds from the mother to the fetus. Median transplacental transfer ratios were generally below 1, except for perfluorooctane sulfonamide (FOSA), and ranged between 0.36 for perfluorodecanoate (PFDA) and perfluoroundecanoate (PFUnDA) and 1.21 for FOSA. Most PFASs exhibited a preference to the serum component of the blood, except FOSA and perfluoroheptanoate (PFHpA), with blood partitioning ratios ranging from 0.36 for FOSA to 2.75 for PFUnDA. Both the functional groups and carbon chain length of different PFASs were important predictors of transplacental transfer and blood partitioning. We observed a U-shaped relationship between transplacental transfer ratios and carbon chain length for perfluorocarboxylates and perfluorosulfonates. Importantly, gestational diabetes was also a strong predictor of transplacental transfer ratios, with significantly higher transfer in mothers with gestational diabetes. CONCLUSIONS: Our findings provide a better understanding of the transplacental transfer and blood partitioning of a large number of PFAS compounds. Results elucidate the importance of chemical structure for future risk assessments and choice of appropriate blood matrices for measurement of PFAS compounds.
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“Short- and long-chain compounds appear to be transported across the placental barrier more efficiently than medium-chain compounds.”
From The transplacental transfer efficiency of per- and polyfluoroalkyl substances (PFAS): a first meta-analysis (2022) · cites this paper as Eryasa et al. 2019
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In the citing paper
“Transplacental transfer efficiency (TTE) of PFAS seems to depend upon carbon chain length and functional groups (PFCAs and perfluorosulfonic acids (PFSAs)).”
From The transplacental transfer efficiency of per- and polyfluoroalkyl substances (PFAS): a first meta-analysis (2022) · cites this paper as Eryasa et al. 2019
In the citing paper
“Several studies reported a U-shaped trend relating TTEs to carbon chain length and functional group (Cai et al. Citation2020; Eryasa et al. Citation2019; Gao et al. Citation2019; Kato et al. Citation2014; Li et al. Citation2020a; Liu et al. Citation2011; Pan et al. Citation2017; Wang et al. Citation2019; Zhang et al. Citation2021, Citation2013).”
From The transplacental transfer efficiency of per- and polyfluoroalkyl substances (PFAS): a first meta-analysis (2022) · cites this paper as Eryasa et al. 2019
In the citing paper
“For PFCAs and PFSAs with different functional groups, a different rate of transfer efficiency was suggested by Cai et al. (Citation2020) and Eryasa et al. (Citation2019).”
From The transplacental transfer efficiency of per- and polyfluoroalkyl substances (PFAS): a first meta-analysis (2022) · cites this paper as Eryasa et al. 2019
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Self-citationUnderstanding the Dynamics of Physiological Changes, Protein Expression, and PFAS in Wildlife
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“…1.5 2.0 2.5 3.0 3.5 Predicted Intervall Random effect Li et al. 2020b Li et al. 2020a full term Li et al. 2020a preterm Cai et al. 2020 Eryasa et al. 2019 (Cohort2) Eryasa et al. 2019 (Cohort1) Wang et al. 2019 Zhao et al. 2017 Pan et al. 2017 Chen et al. 2017b Yang et al. 2016a Morello-Frosch…”
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Metadata
- Authors
- Eryasa, B., Grandjean, P., Nielsen, F., Valvi, D., Zmirou-Navier, D., Sunderland, E., Weihe, P., & Oulhote, Y.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 130
- Pages
- 104874
- ISSN
- 0160-4120
- PMC
- PMC7029428
- Cited by
- 98
- References
- 58
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
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- Eryasa, B., Grandjean, P., Nielsen, F., Valvi, D., Zmirou-Navier, D., Sunderland, E., Weihe, P., & Oulhote, Y. (2019). Physico-chemical properties and gestational diabetes predict transplacental transfer and partitioning of perfluoroalkyl substances. Environment International. https://doi.org/10.1016/j.envint.2019.05.068
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