Evidence map›Paper›PMID 35075242›Full record

ArticleJournal of exposure science & environmental epidemiology2022

Maternal urinary phthalate metabolites are associated with lipidomic signatures among pregnant women in Puerto Rico.

Pahriya Ashrap, Max T Aung, Deborah J Watkins, Bhramar Mukherjee, Zaira Rosario-Pabón, Carmen M Vélez-Vega, Akram Alshawabkeh, José F Cordero, John D Meeker

Open access · greenAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 11 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

9 authors at 5 institutions in 2 countries.

Pahriya AshrapDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Max T AungProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
Deborah J WatkinsDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Zaira Rosario-PabónUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico.
Carmen M Vélez-VegaUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico.
Akram AlshawabkehCollege of Engineering, Northeastern University, Boston, MA, USA.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. meekerj@umich.edu.ORCID 0000-0001-8357-5085
University of Michigan · USUniversity of Puerto Rico, Medical Sciences Campus · PRNortheastern University · USUniversity of California, San Francisco · USUniversity of Georgia · US

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 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 Joyce Lee · 2010 to 2026
$20.3M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JENNIFER C FUNG, Tracey J. Woodruff · 2020 to 2026
$11.2M
Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA · 2015 to 2015
$9.5M
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
Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child DevelopmentP50ES026049 · NIEHS · NORTHEASTERN UNIVERSITY · PI GU, APRIL Z · 2015 to 2018
$3.6M
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 ES017885NIEHS NIH HHS P30 ES030284NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIEHS NIH HHS R01 ES031591NIEHS NIH HHS R01 ES032203NIEHS NIH HHS U2C ES026553NIH HHS UH3 OD023251
6 · The paper itself

Abstract

backgroundPhthalates have been reported to alter circulating lipid concentrations in animals, and investigation of these associations in humans will provide greater understanding of potential mechanisms for health outcomes.

objectiveTo explore associations between phthalate metabolite biomarkers and lipidomic profiles among pregnant women (n = 99) in the Puerto Rico PROTECT cohort.

methodsWe measured 19 urinary phthalate metabolites during 24-28 weeks of pregnancy. Lipidomic profiles were identified from plasma samples by liquid chromatography-mass spectrometry-based shotgun lipidomics. Relationships between phthalate metabolites and lipid profiles were estimated using compound-by-compound comparisons in multiple linear regression and dimension reduction techniques. We derived sums for each lipid class and sub-class (saturated, mono-unsaturated, polyunsaturated) which were then regressed on phthalate metabolites. Associations were adjusted for false discovery.

resultsAfter controlling for multiple comparisons, 33 phthalate-lipid associations were identified (False discovery rate adjusted p value < 0.05), and diacylglycerol 40:7 and plasmenyl-phosphatidylcholine 35:1 were the most strongly associated with multiple phthalate metabolites. Metabolites of di-2-ethylhexyl phthalate, bis(2-ethylhexyl) phthalate, dibutyl phthalates, and diisobutyl phthalate were associated with increased ceramides, lysophosphatidylcholines, lysophosphatidylethanolamines, and triacylglycerols, particularly those containing saturated and mono-unsaturated fatty acid chains. SIGNIFICANCE: Characterization of associations between lipidomic markers and phthalate metabolites during pregnancy will yield mechanistic insight for maternal and child health outcomes. IMPACT: This study leverages emerging technology to evaluate lipidome-wide signatures of phthalate exposure during pregnancy. The greatest lipid signatures of phthalate exposure were observed for diacylglycerol 40:7 and plasmenyl-phosphatidylcholine 35:1. Polymerized glycerides are important for energy production and regulated through hormone signaling, while plasmenyl-phosphatidylcholines have been implicated in membrane dynamics and important for cell-to-cell signaling. Characterization of these mechanisms are relevant for informing the etiology of maternal and children's health outcomes.

Indexed as

Environmental PollutantsPhthalic AcidsBiomarkersDiglyceridesFemaleHumansLipidomicsPhosphatidylcholinesPregnancyPregnant PeoplePuerto RicoBiomarkersDiglyceridesEnvironmental PollutantsPhosphatidylcholinesphthalic acidPhthalic AcidsBiomarkersExposureLipidomicsPhthalatesPuerto Rico

Identifiers

PMID35075242
PMCPMC9124693
OpenAlexW4220745699

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.