Evidence map›Paper›PMID 31288179›Full record

ArticleEnvironment international2019

Urinary concentrations of phenols in association with biomarkers of oxidative stress in pregnancy: Assessment of effects independent of phthalates.

Kelly K Ferguson, Zhao Lan, Youfei Yu, Bhramar Mukherjee, Thomas F McElrath, John D Meeker

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 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

6 authors at 4 institutions in 1 country.

Kelly K FergusonEpidemiology Branch, Intramural Research Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA. Electronic address: kelly.ferguson2@nih.gov.
Zhao LanDepartment of Statistics, University of North Carolina, Chapel Hill, NC, USA.
Youfei YuDepartment of Biostatistics, 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.
Thomas F McElrathDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USBrigham and Women's Hospital · USNational Institute of Environmental Health Sciences · USUniversity of North Carolina at Chapel Hill · US

Funding

Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA · 2015 to 2015
$9.5M
LIFECODES pregnancy cohortZIAES103321 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FERGUSON, KELLY · 2016 to 2025
$6.1M
Bisphenol A and Phthalate Exposure in Relation to Fetal Growth and Preterm BirthR01ES018872 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2010 to 2014
$2.6M
Intramural NIH HHS ZIA ES103321NIEHS NIH HHS R01 ES018872NIEHS NIH HHS U2C ES026553
6 · The paper itself

Abstract

backgroundMaternal exposure to environmental phenols is common in pregnancy and has been linked to preterm birth, preeclampsia, and reduced fetal growth. One potential mechanism may be through increased maternal oxidative stress.

objectiveWe examined the associations between a panel of 10 urinary phenols, including dichlorophenols, benzophenone-3, parabens, triclosan and triclocarban, and bisphenol-S, and two urinary oxidative stress biomarkers, 8-hydroxydeoxyguanosine (8-OHdG) and 8-isoprostane. All exposure and outcome biomarkers were measured at 4 time points in pregnancy.

methodsWe used repeated measures models to examine the association between repeated exposure and outcome biomarkers. Additionally, we used adaptive elastic net (AENET) to identify non-null associations accounting for the correlation structure of exposures, both for phenols and urinary phthalate metabolites that were previously associated with the oxidative stress biomarkers in our study population.

resultsIn adjusted repeated measures models, we observed that dichlorophenols, benzophenone-3, triclosan, and some parabens were associated with increases in both oxidative stress biomarkers. The greatest effect estimates were observed for 2,5-dichlorophenol; an interquartile range (IQR) increase in this compound was associated with a 15.2% (95% confidence interval [CI] = 11.0, 19.6) increase in 8-OHdG and a 16.7% (95% CI = 9.66, 24.2) increase in 8-isoprostane. Bisphenol-S detection was associated with a clear increase in 8-isoprostane (18.5%, 95% CI = 7.68, 30.5) but a more modest increase in 8-OHdG (6.18%, 95% CI = -0.27, 13.1). However, AENET models did not consistently select any of the phenols as predictors of 8-OHdG or 8-isoprostane when phthalate metabolites were included in the model.

conclusionOverall, urinary phenols were associated with increases in biomarkers of oxidative stress in pregnancy but either to a lesser extent, or due to correlation with, urinary phthalate metabolites.

Indexed as

Maternal ExposureOxidative Stress8-Hydroxy-2'-DeoxyguanosineAdultBiomarkersBostonDinoprostFemaleHumansPhenolsPhthalic AcidsPregnancyProspective StudiesRegression AnalysisYoung Adult8-epi-prostaglandin F2alpha8-Hydroxy-2'-DeoxyguanosineBiomarkersDinoprostPhenolsPhthalic AcidsMixturesOxidative stressParabensPhenolsPhthalatesPregnancy

Identifiers

PMID31288179
PMCPMC6728185
OpenAlexW2954994761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.