Evidence map›Paper›PMID 40826080›Full record

ArticleEnvironmental health : a global access science source2025

Endocrine disrupting chemicals in maternal and umbilical cord plasma and their associations with birthweight in the GUSTO cohort.

Sharon Ng, Ling-Wei Chen, Ze-Ying Chen, Mei-Huei Chen, Anne H Y Chu, Keith M Godfrey, Kok Hian Tan, Peter D Gluckman, Johan G Eriksson, Fabian Yap and 4 more

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

14 authors.

Sharon NgInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Ling-Wei ChenInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Ze-Ying ChenInstitute of Food Safety and Health, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan.
Mei-Huei ChenInstitute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
Anne H Y ChuInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Keith M GodfreyMRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.
Kok Hian TanDuke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Peter D GluckmanInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Johan G ErikssonInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Fabian YapDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.
Pau-Chung ChenInstitute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan.
Yap Seng ChongInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Chia-Yang ChenInstitute of Food Safety and Health, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan.
Shiao-Yng ChanInstitute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore. obgchan@nus.edu.sg.

Funding

Alzheimer's Research UK ARUK-PG2022A-008National Taiwan University Higher Education Sprout Project 111L7304, 111L7306, 110L7418, 110L881002NIHR Southampton Biomedical Research Centre NIHR203319Taiwan National Science and Technology Council MOST110-2314-B-002-290-MY2; P110A290UK Medical Research Council MC_UU_12011/4UK National Institute for Health Research NIHR NF-SI-0515-10042
6 · The paper itself

Abstract

backgroundWith daily exposure to multiple endocrine disrupting chemicals (EDCs), understanding individualized co-exposure patterns could better identify chemicals that threaten health. This is particularly pertinent for the vulnerable fetus during in-utero development, where exposure can have long lasting health consequences. As there is limited information of EDC exposure in Asian maternal-offspring populations, this study aimed to (1) determine levels of a selected range of EDCs (focusing on Substances of Very High Concern by the European Chemical Agency) in maternal and corresponding cord blood plasma, (2) investigate the sociodemographic factors associated with plasma EDC concentrations, and (3) associate EDC-mixtures with birthweight, in a Singapore cohort.

methodsTargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to determine the concentration of 30 chemicals of interest in 780 maternal and 782 cord plasma samples collected at delivery in the multi-ethnic Asian (Chinese, Malay, Indian) mother-offspring GUSTO study. Quantile-based g-computation was used to estimate the combined effect of chemical mixtures and its association with birthweight.

resultsTwenty-seven out of the thirty selected chemicals were reliably detected in both maternal and cord plasma. Perfluorooctanesulfonic, perfluorooctanoic, perfluorobutanesulfonic and perfluorobutanoic acids (PFOS, PFOA, PFBS, PFBA, respectively) were the predominant perfluoroalkyl acids (detected in > 90% of samples), while mono (2-ethylhexyl) phthalate (MEHP) and monobutyl phthalate were the main phthalate metabolites (detected in > 99% of samples). Concentrations of fourteen chemicals, including PFBA, PFBS and bisphenol S (BPS) were higher in cord plasma than in corresponding maternal plasma; eight being > 1.5 times higher (ranging from 1.75 to 2.93). A mixture of chemicals in cord plasma associated with higher birthweight [116.5 g (95%CI 3.1, 229.9) per quantile increase], but no association was observed for the maternal mixture. Further, different chemicals from the same EDC group in either cord or maternal plasma showed associations in opposite directions with birthweight. DISCUSSION: Our results suggest substantial transplacental transfer and fetal accumulation of many chemicals, particularly the newer replacement compounds. Stronger associations with birthweight were found for the cord chemical mixture than for the maternal mixture, supporting the idea that these chemicals may have direct effects in the fetus to influence growth. Moreover, individual chemicals within each EDC group appear to have different mechanisms of effect resulting in divergent associations with birthweight.

conclusionThis study adds to the growing concern about the impact of EDCs, especially the newer chemicals on vulnerable groups such as the developing fetus, warranting further research on the potential effects of in-utero EDC exposure on child health.

Indexed as

Birth WeightEndocrine DisruptorsEnvironmental PollutantsFetal BloodMaternal ExposureAdultChromatography, LiquidCohort StudiesFemaleHumansInfant, NewbornMalePregnancySingaporeTandem Mass SpectrometryYoung AdultEndocrine DisruptorsEnvironmental PollutantsBisphenol ABisphenol SEndocrine disrupting chemicalsOxybenzoneParabensPerfluoroalkyl and polyfluoroalkyl acidsPhthalatesQuantile-based g-computation

Identifiers

PMID40826080
PMCPMC12363001

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.