Evidence map›Paper›PMID 42231393›Full record

ArticleEnvironmental health : a global access science source2026

Placental CYP450 gene dysregulation by maternal PFAS: a novel mechanism linking prenatal exposure to altered toddler growth.

Xiuxia Song, Zhaofeng Zhang, Xiaoyu Zhou, Hong Liang, Yao Chen, Weiqiang Zhu, Wei Yuan, Jing Du, Ziliang Wang, Maohua Miao

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiuxia Song *Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Zhaofeng Zhang *Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Xiaoyu Zhou *Shanghai Histo Pathology Diagnostic Center, Shanghai, 200237, China.
Hong LiangShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Yao ChenShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Weiqiang ZhuShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Wei YuanShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Jing DuShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China. dujing42@126.com.
Ziliang WangShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China. wangziliang1986@126.com.
Maohua MiaoShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.

Funding

Innovation Promotion Program of NHC and Shanghai Key Labs, SIBPT RC2023-03Innovation Promotion Program of NHC and Shanghai Key Labs, SIBPT RC2024-05Science and Technology Commission of Shanghai Municipality 23ZR1457100The National Natural Science Foundation of China 22276125The National Natural Science Foundation of China 82171655
6 · The paper itself

Abstract

backgroundMaternal per- and polyfluoroalkyl substances (PFAS) exposure has been linked to adverse health effects on offspring, but the mechanisms remain unclear. The present study investigates the relationship between maternal PFAS exposure and the expression of placental cytochrome P450 enzymes (CYP19A1, CYP2J2, and CYP2E1), and explores the potential role of these enzymes in linking maternal PFAS exposure to offspring development.

methodsWe included 350 mother-infant pairs from the Jiashan birth cohort. Thirteen PFAS compounds were measured in maternal plasma collected at 8-16 weeks of gestation, while the expression levels of the three CYP genes were quantified in placental tissues collected at delivery. Offspring weight and length were measured at birth and at 1, 3, 6, 8, 12, and 24 months of age, and their ponderal index (PI) was computed. Multivariable linear regression was used to examine associations between plasma concentrations of individual PFAS and placental CYP gene expression. Quantile-based g-computation was used to examine the association of the PFAS mixture with placental CYP gene expression. A linear mixed model was used to examine the associations of maternal PFAS and placental CYP expression levels with repeated PI measurements from birth to 24 months. Multilevel mediation analysis was conducted to explore the potential mediating role of CYP genes.

resultsConsistent inverse associations between maternal PFAS exposure and the three placental CYP genes expression in female placentas were observed. Specifically, statistically significant decreases were observed in the associations between all PFAS compounds and CYP2J2 expression with β- estimates for the highest exposure versus the lowest from -0.255 to -0.174, as well as between the highest exposure of perfluorotridecanoic acid (PFTrDA) and CYP19A1 expression (β = -0.279, 95% CI: -0.55, -0.007). In contrast, for male fetuses, significant associations were found between the highest exposure of perfluorohexane sulfonate (PFHxS) and increased CYP19A1 expression (β = 0.404, 95%CI: 0.131,0.677), and between the middle of perfluoroundecanoic acid (PFUdA), perfluorododecanoic acid (PFDoA), PFTrDA, and perfluoroheptanoic acid (PFHPA) and decreased CYP2E1 expression (β

conclusionsThese results indicate that maternal PFAS exposure may disrupt placental CYP expression and the implications of these disruptions for offspring development warrant further investigation.

Indexed as

Cytochrome P-450 Enzyme SystemEnvironmental PollutantsFluorocarbonsMaternal ExposurePlacentaPrenatal Exposure Delayed EffectsAdultCytochrome P-450 CYP2J2FemaleHumansInfantInfant, NewbornMalePregnancyCYP2J2 protein, humanCytochrome P-450 CYP2J2Cytochrome P-450 Enzyme SystemEnvironmental PollutantsFluorocarbonsCYP expressionOffspring developmentPFASPlacentaPregnant women

Identifiers

PMID42231393
PMCPMC13445925

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.