Evidence map›Paper›PMID 42746616›Full record

ArticleFrontiers in public health2026

Associations between prenatal phthalate exposure and maternal immune cell profiles across trimesters.

Yi Zhang, Lin Tao

Abstract read
In one paragraph

Article in Frontiers in public health, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yi ZhangThe People's Hospital of Qian Nan Prefecture, Qian Nan, Guizhou, China.
Lin TaoCentre for Disease Control and Prevention, Huaxi District, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Phthalates (PAEs) are endocrine-disrupting chemicals, yet the association between prenatal PAE exposure and maternal blood immune cells remains unclear. Here, we enrolled 2,581 pregnant women, including 287 in the first trimester (gestational weeks 1-12), 807 in the second trimester (gestational weeks 13-27), and 1,487 in the third trimester (gestational weeks 28 to delivery). This study aimed to elucidate the association between urinary phthalates (PAEs) metabolites during pregnancy and characteristics of the maternal immune cell profile. Methods: First, we analyzed differences in maternal PAE metabolites and immune cell counts (leukocytes, lymphocytes, neutrophils, eosinophils, basophils, monocytes, and platelets) in the three gestational stages using non-parametric alternatives (Kruskal-Wallis test). Subsequently, linear regression models quantified correlations between PAE metabolites and immune cell counts, while restricted cubic spline (RCS) analysis explored dose-response relationships between the two. Finally, Bayesian kernel machine regression (BKMR) was used to assess the non-linear associated between PAE metabolites and immune cells. Results: Findings revealed pregnancy-stage differences in both maternal PAE metabolites and maternal immune cell counts within each trimester. Linear regression identified significant associations between specific PAE metabolites and immune cell subsets, while RCS models further confirmed dose-response relationships for multiple metabolites. BKMR analysis highlighted a nonlinear association between combined exposure to PAE metabolites and basophils, monocytes, and lymphocytes. Discussion: In summary, this study has preliminarily established an association between prenatal maternal exposure to PAE metabolites and immune cells in maternal blood, highlighting the potential immunomodulatory effects of PAE exposure during pregnancy. However, as this study is primarily based on epidemiological research, all findings should be interpreted with caution.

Indexed as

Endocrine DisruptorsMaternal ExposurePhthalic AcidsPregnancy TrimestersAdultFemaleHumansPregnancyEndocrine DisruptorsPhthalic Acidsendocrine-disrupting chemicalsmaternal immune cellsphthalatespregnant womentrimester specific

Identifiers

PMID42746616
PMCPMC13577178

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