Evidence map›Paper›PMID 41274667›Full record

ArticleBMJ mental health2025

Prenatal exposure to per- and polyfluoroalkyl substances and neurodevelopment trajectory: towards early warning via cohort- and metabolomics-based risk ranking.

Chang Gao, Ruonan Li, Hongyan Wu, Zhenzhen Xie, Weitian Tang, Yuanyuan Hou, Lin Tao, Shengmei Zhang, Jia Lv, Tianrui Gao and 6 more

Abstract read
In one paragraph

Article in BMJ mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Chang Gao *School of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Ruonan Li *School of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Hongyan Wu *School of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Zhenzhen Xie *Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Weitian TangSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Yuanyuan HouDepartment of Pediatrics and Child Health, Suzhou Hospital of Anhui Medical University, Suzhou, China.
Lin TaoSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Shengmei ZhangSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Jia LvSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Tianrui GaoSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Xiu-Hong MengSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
Maohua MiaoShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Wei YuanShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
De-Xiang XuSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China yichao.huang@ahmu.edu.cn xudex@126.com lianghong@sibpt.cn.
Hong LiangShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China yichao.huang@ahmu.edu.cn xudex@126.com lianghong@sibpt.cn.
Yichao HuangSchool of Public Health and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China yichao.huang@ahmu.edu.cn xudex@126.com lianghong@sibpt.cn.ORCID 0000-0003-1186-1300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrenatal exposure to per- and polyfluoroalkyl substances (PFAS) may adversely affect neurodevelopment, but comparative risks and metabolic disruptions remain unclear.

objectiveTo integrate various levels of evidence and illustrate the relationship between prenatal PFAS exposure and neurodevelopmental trajectories in children.

methodsIn the Shanghai-Minhang birth cohort, maternal PFAS were measured from plasma collected at 12-16 weeks' gestation. Neurodevelopment was assessed at 6, 12 and 48 months using the Ages and Stages Questionnaire-3 and group-based trajectory modelling was performed. Associations between PFAS (co-)exposure and neurodevelopment were evaluated using logistic regression and mixture model effects. Metabolomic perturbations of PFAS with potential neurodevelopmental effects were analysed in PC12 neuronal cells.

findingsAmong 412 mother-child pairs, higher PFAS exposure was linked to suboptimal development in communication (highest vs lowest tertile: OR

conclusionsPrenatal PFAS exposure is associated with suboptimal neurodevelopment, particularly in communication and social interaction. CLINICAL IMPLICATIONS: Maternal exposure profiles during early gestation that are associated with disrupted E/I neurotransmission may serve as early indicators of increased risk for suboptimal neurodevelopment, thereby informing timely preventive interventions.

Indexed as

Child DevelopmentFluorocarbonsMaternal ExposureNeurodevelopmental DisordersPrenatal Exposure Delayed EffectsAdultAlkanesulfonic AcidsAnimalsCaprylatesChild, PreschoolChinaCohort StudiesFemaleHumansInfantMaleAlkanesulfonic AcidsCaprylatesFluorocarbonsperfluorooctane sulfonic acidperfluorooctanoic acidNeurodevelopmental Disorders

Identifiers

PMID41274667
PMCPMC12871435

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.