Evidence map›Paper›PMID 40961615›Full record

ArticleThe Science of the total environment2025

Associations between brominated and organophosphate flame retardant levels and inflammatory biomarkers in maternal blood, cord blood, and placental tissue at mid-gestation.

Vince Nguyen, Neha Sehgal, Lin Li, Dana E Goin, Rachel Morello-Frosch, Tracey J Woodruff, Julia Varshavsky, June-Soo Park, Stephanie L Gaw, Joshua F Robinson and 1 more

Abstract read
In one paragraph

Article in The Science of the total environment, 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. 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

11 authors.

Vince NguyenDepartment of Epidemiology, Rollins School of Public Health, Emory University, United States of America.
Neha SehgalGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, United States of America.
Lin LiCenter for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America.
Dana E GoinDepartment of Epidemiology, Mailman School of Public Health, Columbia University, United States of America.
Rachel Morello-FroschDepartment of Environmental Science, Policy and Management and School of Public Health, University of California, Berkeley, United States of America; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America.
Tracey J WoodruffProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America.
Julia VarshavskyDepartment of Public Health and Health Sciences, Northeastern University, United States of America.
June-Soo ParkEnvironmental Chemistry Laboratory, California Department of Toxic Substances Control, United States of America.
Stephanie L GawCenter for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America.
Joshua F RobinsonCenter for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, United States of America. Electronic address: joshua.robinson@ucsf.edu.
Stephanie M EickDepartment of Epidemiology, Rollins School of Public Health, Emory University, United States of America; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, United States of America. Electronic address: stephanie.marie.eick@emory.edu.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rashmi Joglekar · 2020 to 2026
$11.2M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
The UCSF Pregnancy Exposures to Environmental Chemicals (PEEC) Children's CenterP01ES022841 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WOODRUFF, TRACEY J. · 2013 to 2018
$3.9M
Project 2: Assessing the Effects on BPA Exposure on Early Human DevelopmentP20ES018135 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WOODRUFF, TRACEY J. · 2010 to 2012
$617k
Prenatal stress exposures and fetal inflammation during mid-gestationR21HD109723 · NICHD · EMORY UNIVERSITY · PI EICK, STEPHANIE MARIE, ROBINSON, JOSHUA FREDERICK · 2023 to 2024
$450k
NICHD NIH HHS R21 HD109723NIEHS NIH HHS P01 ES022841NIEHS NIH HHS P20 ES018135NIEHS NIH HHS P30 ES019776NIEHS NIH HHS P30 ES030284NIEHS NIH HHS T32 ES012870
6 · The paper itself

Abstract

objectivePrenatal exposures to flame retardants (FRs), including legacy polybrominated diphenyl ethers (PBDEs) and alternative organophosphate FRs (OPFRs), are associated with adverse pregnancy outcomes. In animal and cell models, inflammation has been proposed as a potential pathway of FR-toxicity; however, data in humans is limited. In this study, we assessed whether levels of FRs are associated with diverse inflammatory biomarkers, reflecting potential mediating pathways. We leveraged mid-gestation maternal and fetal biospecimens, a timepoint that is often difficult to study due to ethical challenges. MATERIAL AND

methodsParticipants in this study included a demographically diverse group of pregnant women undergoing elective mid-pregnancy terminations and for whom measurements of maternal OPFRs and PBDEs and maternal and fetal inflammation biomarkers were available (N = 65). Four PBDEs (BDE-47, BDE-99, BDE-100, BDE-153) and four OPFRs (BCEP, BCIPP, BDCIPP, DPHP) were quantified via mass spectrometry in mid-gestation maternal serum and urine samples, respectively. We measured 20 unique cytokines in matched maternal serum, cord blood, and placental tissue. We used quantile g-computation to assess mixture effects and linear regression to assess associations between individual FRs and cytokines. All models were adjusted for gestational age at time of sample collection, maternal age, education, and insurance.

resultsA one-quartile increase in the mixture of PBDEs alone was positively associated with most maternal inflammatory mediators, including CCL-17 (Ѱ = 0.22, 95 % CI = 0.02, 0.42) and CCL-2 (Ѱ = 0.21, 95 % CI = 0.06, 0.37). Additionally, a one-quartile increase in the combined mixture of PBDEs and OPFRs was associated with increases in maternal serum levels of CCL-2, CCL-3, CC-17, and CCL-22. In contrast, BDE-47 and BDE-100 were individually associated with reductions in placental CCL-2 (β = -0.59, 95 % CI = -1.08, -0.1; β = -0.46, 95 % CI = -0.84, -0.07, respectively). No significant associations between levels of FRs in cord blood and cytokines were observed.

conclusionPrenatal exposure to FRs, particularly PBDEs, was significantly associated with differences in biomarkers of inflammation in maternal serum during mid-pregnancy.

Indexed as

Environmental PollutantsFlame RetardantsHalogenated Diphenyl EthersMaternal ExposureOrganophosphatesPlacentaAdultBiomarkersFemaleFetal BloodHumansInflammationPregnancyBiomarkersEnvironmental PollutantsFlame RetardantsHalogenated Diphenyl EthersOrganophosphatesBiomarkers of exposureFlame retardantsInflammationMixturesPregnancy

Identifiers

PMID40961615
PMCPMC12462692

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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.