Evidence map›Paper›PMID 37487376›Full record

ArticleEnvironment international2023

Associations of phthalates, phthalate replacements, and their mixtures with eicosanoid biomarkers during pregnancy.

Seonyoung Park, Amber L Cathey, Wei Hao, Lixia Zeng, Subramaniam Pennathur, Max T Aung, Zaira Rosario-Pabón, Carmen M Vélez-Vega, José F Cordero, Akram Alshawabkeh and 2 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Seonyoung ParkDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
Amber L CatheyDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
Wei HaoDepartment of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
Lixia ZengDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Subramaniam PennathurDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.
Max T AungDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Zaira Rosario-PabónGraduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA.
Carmen M Vélez-VegaGraduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA.
Akram AlshawabkehCollege of Engineering, Northeastern University, Boston, MA, USA.
Deborah J WatkinsDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA. Electronic address: meekerj@umich.edu.
University of Michigan · USUniversity of Puerto Rico, Medical Sciences Campus · PRNortheastern University · USUniversity of Georgia · USUniversity of Southern California · US

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Phillip Brian Smith · 2016 to 2026
$215.9M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UH3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI Akram N Alshawabkeh · 2018 to 2026
$24.0M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UG3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2016 to 2024
$13.0M
Environmental PAH exposure and preeclampsia risk: Investigation of PE subtypes and the role of inflammation and oxidative stress.R01ES031591 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI John D. Meeker · 2021 to 2026
$3.9M
Pregnancy Exposures to Chemical Mixtures and Later Metabolic Health and Endocrine Function Among Women in the Puerto Rico PROTECT CohortR01ES032203 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARVONEN-GUTIERREZ, CARRIE ANNE, MEEKER, JOHN D. · 2020 to 2025
$2.0M
NIDDK NIH HHS P30 DK089503NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS R01 ES031591NIEHS NIH HHS R01 ES032203NIH HHS U2C OD023375NIH HHS UG3 OD023251NIH HHS UH3 OD023251
6 · The paper itself

Abstract

Humans are exposed to complex mixtures of phthalates. Gestational exposure to phthalates has been linked to preeclampsia and preterm birth through potential pathways such as endocrine disruption, oxidative stress, and inflammation. Eicosanoids are bioactive signaling lipids that are related to a variety of homeostatic and inflammatory processes. We investigated associations between urinary phthalates and their mixtures with plasma eicosanoid levels during pregnancy using the PROTECT cohort in Puerto Rico (N = 655). After adjusting for covariates, we estimated pair-wise associations between the geometric mean of individual phthalate metabolite concentrations across pregnancy and eicosanoid biomarkers using multivariable linear regression. We used bootstrapping of adaptive elastic net regression (adENET) to evaluate phthalate mixtures associated with eicosanoids and subsequently create environmental risk scores (ERS) to represent weighted sums of phthalate exposure for each individual. After adjusting for false-discovery, in single-pollutant analysis, 14 of 20 phthalate metabolites or parent compound indices showed significant and primarily negative associations with multiple eicosanoids. In our mixture analysis, associations with several metabolites of low molecular weight phthalates - DEP, DBP, and DIBP - became prominent. Additionally, MEHHTP and MECPTP, metabolites of a new phthalate replacement, DEHTP, were selected as important predictors for determining the concentrations of multiple eicosanoids from different pathway groups. A unit increase in phthalate ERS derived from bootstrapping of adENET was positively associated with several eicosanoids mainly from Cytochrome P450 pathway. For example, an increase in ERS was associated with 11(S)-HETE (β = 1.6, 95% CI: 0.020, 3.180), (±)11,12-DHET (β = 2.045, 95% CI: 0.250, 3.840), 20(S)-HETE (β = 0.813, 95% CI: 0.147, 1.479), and 9 s-HODE (β = 2.381, 95% CI: 0.657, 4.104). Gestational exposure to phthalates and phthalate mixtures were associated with eicosanoid levels during pregnancy. Results from the mixture analyses underscore the complexity of physiological impacts of phthalate exposure and call for further in-depth studies to examine these relationships.

Indexed as

Environmental PollutantsPhthalic AcidsPremature BirthBiomarkersEnvironmental ExposureFemaleHumansHydroxyeicosatetraenoic AcidsInfant, NewbornPregnancyBiomarkersEnvironmental PollutantsHydroxyeicosatetraenoic Acidsphthalic acidPhthalic AcidsEicosanoidsMixture analysisPhthalate replacementsPhthalates

Identifiers

PMID37487376
PMCPMC10733973
OpenAlexW4384811937

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.