Impact of Gestational Exposure to Individual and Combined Per- and Polyfluoroalkyl Substances on a Placental Structure and Efficiency : Findings from the Ma'anshan Birth Cohort

Prenatal exposure to perfluoroalkyl and polyfluoroalkyl substances (PFASs) is inevitable among pregnant women. Nevertheless, there is a scarcity of research investigating the connections between prenatal PFAS exposure and the placental structure and efficiency. Based on 712 maternal-fetal dyads in the Ma'anshan Birth Cohort, we analyzed associations between individual and mixed PFAS exposure and placental measures. We repeatedly measured 12 PFAS in the maternal serum during pregnancy. Placental weight, scaling exponent, chorionic disc area, and disc eccentricity were used as the outcome variables. Upon adjusting for confounders and implementing corrections for multiple comparisons, we identified positive associations between branched perfluorohexane sulfonate (br-PFHxS) and 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA) with placental weight. Additionally, a positive association was observed between br-PFHxS and the scaling exponent, where a higher scaling exponent signified reduced placental efficiency. Based on neonatal sex stratification, female infants were found to be more susceptible to the adverse effects of PFAS exposure. Mixed exposure modeling revealed that mixed PFAS exposure was positively associated with placental weight and scaling exponent, particularly during the second and third trimesters. Furthermore, br-PFHxS and 6:2 Cl-PFESA played major roles in the placental measures. This study provides the first epidemiological evidence of the relationship between prenatal PFAS exposure and placental measures.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:58

Enthalten in:

Environmental science & technology - 58(2024), 14 vom: 09. Apr., Seite 6117-6127

Sprache:

Englisch

Beteiligte Personen:

Gan, Hong [VerfasserIn]
Xing, Yanan [VerfasserIn]
Tong, Juan [VerfasserIn]
Lu, Mengjuan [VerfasserIn]
Yan, Shuangqin [VerfasserIn]
Huang, Kun [VerfasserIn]
Wu, Xiaoyan [VerfasserIn]
Tao, Shuman [VerfasserIn]
Gao, Hui [VerfasserIn]
Pan, Yitao [VerfasserIn]
Dai, Jiayin [VerfasserIn]
Tao, Fangbiao [VerfasserIn]

Links:

Volltext

Themen:

Alkanesulfonates
Alkanesulfonic Acids
Bayesian kernel machine regression
Birth cohort
Environmental Pollutants
FX3WJ41CMX
Fluorocarbons
Journal Article
Multivariate generalization propensity score
PFAS
Perflexane
Placental efficiency
Quantile g-computation

Anmerkungen:

Date Completed 10.04.2024

Date Revised 10.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/acs.est.3c09611

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370155343