Evidence map›Paper›PMID 34097892›Full record

ArticleEnvironmental research2021

Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting.

Pahriya Ashrap, 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 Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

8 authors at 4 institutions in 2 countries.

Pahriya AshrapUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States.
Deborah J WatkinsUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States.
Bhramar MukherjeeUniversity of Michigan School of Public Health, Department of Biostatistics, Ann Arbor, MI, United States.
Zaira Rosario-PabónUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, PR, USA.
Carmen M Vélez-VegaUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, PR, USA.
Akram AlshawabkehCollege of Engineering, Northeastern University, Boston, MA, United States.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia, United States.
John D MeekerUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States. Electronic address: meekerj@umich.edu.
University of Michigan · USUniversity of Puerto Rico, Medical Sciences Campus · PRNortheastern University · USUniversity of Georgia · US

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
Upstream Regulation and Downstream effectors of c-MYC in Ovarian CancerU54MD007600 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Emma Fernandez-Repollet · 2017 to 2026
$35.8M
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
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 CORDERO, JOSE F · 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
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIEHS NIH HHS R01 ES031591NIEHS NIH HHS R01 ES032203NIH HHS UH3 OD023251NIMHD NIH HHS U54 MD007600
6 · The paper itself

Abstract

backgroundStudies on the health effects of metal mixtures typically utilize biomarkers measured in a single biological medium, such as blood or urine. However, the ability to evaluate mixture effects are limited by the uncertainty whether a unified medium can fully capture exposure for each metal. Therefore, it is important to compare and assess metal mixtures measured in different media in epidemiology studies.

objectivesThe aim of this study was to examine the mixture predictive performance of urine and blood metal biomarkers and integrated multi-media biomarkers in association with birth outcomes.

methodsIn our analysis of 847 women from the Puerto Rico PROTECT Cohort, we measured 10 essential and non-essential metals in repeated and paired samples of urine and blood during pregnancy. For each metal, we integrated exposure estimates from paired urine and blood biomarkers into multi-media biomarkers (MMBs), using intraclass-correlation coefficient (ICC) and weighted quantile sum (WQS) approaches. Using Ridge regressions, four separate Environmental risk scores (ERSs) for metals in urine, blood, MMB

resultsPb was the most important contributor of blood ERS as well as the two integrated multi-media biomarker ERSs. Individuals with high ERS (3rd tertile) showed increased odds of preterm birth compared to individuals with low ERS (1st tertile), with 2.8-fold (95% CI, 1.49 to 5.40) for urine (specific gravity corrected); 3.2- fold (95% CI, 1.68 to 6.25) for blood; 3.9-fold (95% CI, 1.72 to 8.66) for multi-media biomarkers composed using ICC; and 5.2-fold (95% CI, 2.34 to 11.42) for multi-media biomarkers composed using WQS. The four ERSs had comparable predictive performances (AUC ranging from 0.64 to 0.68) when urine is examined with specific gravity corrected concentrations.

conclusionsWithin a practical metal panel, measuring metals in either urine or blood may be an equally good approach to evaluate the metals as a mixture. Applications in practical study design require validation of these methods with other cohorts, larger panels of metals and within the context of other adverse health effects of interest.

Indexed as

Premature BirthBiomarkersCohort StudiesFemaleHumansInfant, NewbornMetalsPregnancyPuerto RicoBiomarkersMetalsManganeseMetalsPrenatal stressPuerto RicoSocial support

Identifiers

PMID34097892
PMCPMC8403638
OpenAlexW3166086467

What Socratic holds

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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 Socratic graph.