Evidence map›Paper›PMID 33129852›Full record

ArticleEnvironmental research2021

Prenatal metal mixtures and fetal size in mid-pregnancy in the MADRES study.

Caitlin G Howe, Birgit Claus Henn, Shohreh F Farzan, Rima Habre, Sandrah P Eckel, Brendan H Grubbs, Thomas A Chavez, Dema Faham, Laila Al-Marayati, Deborah Lerner and 6 more

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-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

23 citing papers in PubMed, 36 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

16 authors at 5 institutions in 1 country.

Caitlin G HoweDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: caitlin.g.howe@dartmouth.edu.
Birgit Claus HennDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Shohreh F FarzanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Rima HabreDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Sandrah P EckelDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Brendan H GrubbsDepartment of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Thomas A ChavezDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Dema FahamDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Laila Al-MarayatiDepartment of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Eisner Health, Los Angeles, CA, USA.
Deborah LernerEisner Health, Los Angeles, CA, USA.
Alyssa QuimbyDepartment of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sara TwogoodDepartment of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Michael J RichardsNSF International, Ann Arbor, MI, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Theresa M BastainDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Carrie V BretonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USBoston University · USDartmouth College · USNational Sanitation Foundation International · USUniversity of Michigan · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2015 to 2025
$26.4M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2015 to 2015
$9.5M
Project 2: Environmental Exposures, Stress, and Maternal Pregnancy-Related Weight OutcomesP50ES026086 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M · 2015 to 2019
$3.7M
Metal mixtures, children's cognition, and sensitive developmental windowsR00ES022986 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CLAUS HENN, BIRGIT GUNHILD · 2015 to 2017
$747k
Preclinical Indicators & Biomarkers of Cardiovascular Effects of Arsenic ExposureR00ES024144 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FARZAN, SHOHREH F · 2016 to 2018
$746k
Prenatal Metal Mixtures, Fetal Growth, and the Role of MicroRNAsR00ES030400 · NIEHS · DARTMOUTH COLLEGE · PI HOWE, CAITLIN GRACE · 2020 to 2022
$726k
Prenatal Metal Mixtures, Fetal Growth, and the Role of MicroRNAsK99ES030400 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HOWE, CAITLIN GRACE · 2019 to 2020
$202k
NIEHS NIH HHS K99 ES030400NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P50 ES026086NIEHS NIH HHS R00 ES022986NIEHS NIH HHS R00 ES024144NIEHS NIH HHS R00 ES030400NIEHS NIH HHS U2C ES026553NIEHS NIH HHS U2C ES026555NIH HHS UH3 OD023287
6 · The paper itself

Abstract

backgroundFetal growth is predictive of health later in life. Both toxic and essential metals influence fetal growth, but most studies have focused on these elements individually and used birth weight as an indicator of fetal growth. The objective of the current study was to investigate the impact of a mixture of metals on fetal size in mid-pregnancy in a predominately lower income Hispanic pregnancy cohort in Los Angeles.

methodsFor our primary analysis, we focused on six elements that have previously been associated individually with fetal size, including arsenic (As), barium (Ba), cadmium (Cd), mercury (Hg), molybdenum (Mo), and tin (Sn), measured in maternal urine samples collected in early pregnancy (median: 12.4 weeks gestation). In an exploratory analysis, we additionally included cobalt (Co), nickel (Ni), antimony (Sb), and thallium (Tl). Using covariate-adjusted Bayesian Kernel Machine Regression (BKMR) as our main mixture modeling approach, we examined the impact of these metals on fetal biometry measures obtained between 18 and 22 weeks gestation, with a focus on estimated fetal weight (EFW).

resultsBKMR identified Mo and Ba as the mixture components that contributed most to associations with EFW. Linear associations were observed for both metals. An increase in Mo from the 25th to 75th percentile was associated with a 0.114 (95% credible interval (CI): 0.019, 0.247) SD higher EFW, equivalent to a 7.4 g difference. Similar associations were observed between Mo and the other fetal measures evaluated. In contrast, an increase in Ba from the 25th to 75th percentile was associated with a -0.076 (95% CI: 0.217, 0.066) SD lower EFW, equivalent to a 4.9 g difference. Similar inverse associations were observed for Ba in relation to abdominal circumference and biparietal diameter. BKMR also identified a possible interaction between Ba and Mo in relation to head circumference, suggesting that the positive associations between Mo and this outcome may be attenuated at high levels of Ba, which was consistent with findings from linear regression (P

conclusionsOur results suggest that Mo may promote fetal growth, while Ba and Sb may reduce fetal growth, in this population.

Indexed as

Fetal DevelopmentFetal WeightBayes TheoremBirth WeightFemaleHumansLos AngelesPregnancyUltrasonography, PrenatalEssential elementsFetal biometryFetal growthMixturesPregnancyToxic metals

Identifiers

PMID33129852
PMCPMC8079562
OpenAlexW3097929511

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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.