Evidence map›Paper›PMID 42997416›Full record

ArticleEnvironmental health perspectives2026

Prenatal Exposure to Per- and Polyfluoroalkyl Substances, Metabolic Signatures, and Intellectual Development in Preschoolers: A Birth Cohort Study.

Yun Huang, Ya Xie, Ruizhi Zheng, Zhenxian Jia, Xinhe Lu, Ran Yan, Ruizhen Li, Aifen Zhou, Tongzhang Zheng, Shunqing Xu and 2 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yun HuangDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, China.
Ya XieWuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China.
Ruizhi ZhengKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Zhenxian JiaDepartment of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050017, China.
Xinhe LuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Ran YanShanghai Minhang District Center for Disease Control and Prevention (Shanghai Minhang District Health Supervision Institute), Shanghai 201101, China.
Ruizhen LiWuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China.
Aifen ZhouWuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China.
Tongzhang ZhengDepartment of Epidemiology, School of Public Health, Brown University, Providence Rhode Island 02903, United States.
Shunqing XuDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, China.
Yuanyuan LiKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.ORCID https://orcid.org/0000-0002-2513-633X
Hongxiu LiuDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, China.ORCID https://orcid.org/0000-0001-9081-9471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) are ubiquitous pollutants with potential neurodevelopmental toxicity. However, epidemiological evidence on prenatal exposure to PFAS particularly emerging PFAS and PFAS isomers in relation to children's intellectual development remain limited. This study aimed to examine associations of prenatal exposure to a variety of PFAS, including legacy, emerging, and branched PFAS, with children's intellectual development, and to evaluate early metabolic pathway changes potentially linking prenatal PFAS exposure to these outcomes. In 1,062 mother-child pairs from a prospective cohort in Wuhan, we quantified 32 PFAS in cord sera and conducted metabolomic profiling of cord plasma. At 6 years of age, children's intellectual development was assessed using the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition, a standardized and clinically validated instrument capturing multiple intellectual domains. Generalized linear models (GLM) and weighted quantile sum regression models were used to assess the association of individual PFAS and PFAS mixtures with children's intellectual development. A metabolome-wide association study (MWAS) using GLM was conducted to examine associations between PFAS exposure, individual metabolites, and children's intellectual development. Then, the meet-in-the-middle framework was applied to evaluate metabolic signatures as potential intermediary biomarkers. After adjusting for confounders, each doubling in 3,4,5m-PFOS concentration was associated with a decreased Full Scale Intelligence Quotient (FSIQ) of 0.92 (95% CI = -1.68, -0.17) points, with similar associations observed for the Cognitive Proficiency Index (CPI), Processing Speed Index (PSI), and Working Memory Index (WMI). Similarly, each doubling in 6m-PFOS was associated with decreased scores of 1.22 (95% CI = -2.02, -0.42) for CPI, 1.05 (95% CI = -1.82, -0.27) for PSI, and 0.89 (95% CI = -1.76, -0.01) for WMI. Furthermore, significant mixture effects of multiple PFAS on CPI and WMI were observed, with 6m-PFOS and 3,4,5m-PFOS identified as the primary contributors, respectively. Metabolomic analyses revealed that prenatal PFAS exposure was linked to changes in lipid metabolism pathways, potential serving as candidate intermediary biomarkers in linkages between prenatal PFAS and childhood intellectual development. In conclusion, prenatal PFAS exposure, particularly to branched PFOS isomers, was associated with lower domain-specific intellectual performance in childhood. Integrative analyses combining exposure and metabolomic data may advance the understanding of PFAS-related neurodevelopmental risk.

Indexed as

Child DevelopmentEnvironmental PollutantsFluorocarbonsIntelligenceMaternal ExposurePrenatal Exposure Delayed EffectsBirth CohortChildChild, PreschoolChinaFemaleHumansMetabolomePregnancyProspective StudiesEnvironmental PollutantsFluorocarbons

Identifiers

PMID42997416
PMCPMC13741317

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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.