Evidence map›Paper›PMID 39675449›Full record

ArticleEnvironmental research2025

Prenatal exposure to pesticide mixtures and the placental transcriptome: Insights from trimester-specific, sex-specific and metabolite-scaled analyses in the SAWASDEE cohort.

Yewei Wang, Karen Hermetz, Amber Burt, Corina Lesseur, Parinya Panuwet, Nancy Fiedler, Tippawan Prapamontol, Panrapee Suttiwan, Pimjuta Nimmapirat, Supattra Sittiwang and 6 more

Abstract read
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Prenatal pyrethroid exposure, placental gene network modules, and neonatal neurobehavior.International journal of hygiene and environmental health · 2025
    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

16 authors.

Yewei WangGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Karen HermetzGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Amber BurtGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Corina LesseurDepartment of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Parinya PanuwetGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Nancy FiedlerRutgers University School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, NJ, USA.
Tippawan PrapamontolResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Panrapee SuttiwanLife Di Center, Faculty of Psychology, Chulalongkorn University, Bangkok, Thailand.
Pimjuta NimmapiratLife Di Center, Faculty of Psychology, Chulalongkorn University, Bangkok, Thailand.
Supattra SittiwangLife Di Center, Faculty of Psychology, Chulalongkorn University, Bangkok, Thailand.
Warangkana NaksenFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.
Volha YakimavetsLaboratory of Exposure Assessment and Development for Environmental Research (LEADER), Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Dana Boyd BarrGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Ke HaoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jia ChenDepartment of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Carmen J MarsitGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: carmen.j.marsit@emory.edu.

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BRIAN T BUCKLEY · 1988 to 2026
$47.4M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
Impact of prenatal insecticide exposure on neurodevelopmental trajectories in a Thai birth cohort: building exposure science and neurodevelopmental research capacity in ThailandR01ES026082 · NIEHS · EMORY UNIVERSITY · PI BARR, DANA BOYD, FIEDLER, NANCY L · 2016 to 2020
$3.1M
Characterizing the functional genomic atlas of human placenta and unveiling the prenatal programming of early-life developmentR01HD108310 · NICHD · EMORY UNIVERSITY · PI Jia Chen, Carmen Joseph Marsit · 2023 to 2026
$2.8M
Placental Functional Networks Linking Developmental Pesticide Exposure and Offspring NeurodevelopmentR01ES029212 · NIEHS · EMORY UNIVERSITY · PI CAUDLE, WILLIAM MICHAEL, CHEN, JIA · 2018 to 2022
$2.7M
NICHD NIH HHS R01 HD108310NIEHS NIH HHS P30 ES005022NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES026082NIEHS NIH HHS R01 ES029212
6 · The paper itself

Abstract

We investigated the effect of exposure to pesticide mixtures during pregnancy on the placental transcriptome, to link these exposures and placental functions. The Study of Asian Women and their Offspring's Development and Environmental Exposures (SAWASDEE) enrolled pregnant farmworkers from Thailand (n = 248), who were primarily exposed to organophosphate (OP) and pyrethroid pesticides. We measured maternal urinary levels of six non-specific OP metabolites expressed as three summary measures (dimethylalkylphosphates (DMAP), diethylalkylphosphates (DEAP), and dialkylphosphates (DAP) and three pyrethroid metabolites (3-phenoxybenzoic acid (3-PBA), cis- and trans-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid (cis-DCCA, trans-DCCA) during early, middle, and late pregnancy, and adjusted for urine dilution using creatinine. RNA-sequencing was used to profile the placental transcriptome from which 21 co-expression network modules were identified by Weighted Gene Co-expression Network Analysis. Quantile g-computation analysis identified a positive mixture exposure effect on the E2f Target Module (β = 0.013 per SD, p = 0.012) and a negative mixture exposure effect (β = -0.016 per SD, p = 0.008) on the Myogenesis Module. The pesticide metabolites driving the associations differed for each module on each module varied, highlighting differential susceptibilities within the placental transcriptome to various pesticides. The Myogenesis Module exhibited a consistently significant negative association in both the second trimester (β = -0.013 per SD, p = 0.015) and the third trimester (β = -0.012 per SD, p = 0.028). When stratifying by infant sex, the mixture exhibited a significant negative effect (β = -0.018 per SD, P = 0.016) on the Myogenesis Module only in females. Other modules, such as epithelial-mesenchymal transition, though not demonstrating an overall mixture effect, did demonstrate differential impacts of the mixture by sex. These findings underscore the importance of considering the prenatal environment more holistically, understanding the placenta's susceptibility to contaminants, and incorporating sex-specific analyses to understand differential impacts.

Indexed as

Environmental PollutantsMaternal ExposurePesticidesPlacentaTranscriptomeAdultCohort StudiesFemaleHumansMalePregnancyPregnancy TrimestersThailandYoung AdultEnvironmental PollutantsPesticidesGene networksMixture analysisPlacenta transcriptomePyrethroid insecticidesThailand birth cohort

Identifiers

PMID39675449
PMCPMC11794011

What OpenQuestion holds

Textmetadata
LicenceTDM
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.