Evidence map›Paper›PMID 26928318›Full record

ArticleReproductive toxicology (Elmsford, N.Y.)2016

Analysis of maternal polymorphisms in arsenic (+3 oxidation state)-methyltransferase AS3MT and fetal sex in relation to arsenic metabolism and infant birth outcomes: Implications for risk analysis.

Zuzana Drobná, Elizabeth Martin, Kyung Su Kim, Lisa Smeester, Paige Bommarito, Marisela Rubio-Andrade, Gonzalo G García-Vargas, Miroslav Stýblo, Fei Zou, Rebecca C Fry

Open access · greenAbstract read
In one paragraph

Article in Reproductive toxicology (Elmsford, N.Y.), 2016. 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
4.6field-weighted citation impact, top 6% 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, 27 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

10 authors at 3 institutions in 2 countries.

Zuzana DrobnáDepartment of Biological Sciences, North Carolina State University, NC 27695, United States.
Elizabeth MartinDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Kyung Su KimDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Lisa SmeesterDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Paige BommaritoDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Marisela Rubio-AndradeFacultad de Medicina, Universidad Juarez del Estado de Durango, Gómez Palacio, Durango, Mexico.
Gonzalo G García-VargasFacultad de Medicina, Universidad Juarez del Estado de Durango, Gómez Palacio, Durango, Mexico.
Miroslav StýbloDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Fei ZouDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States. Electronic address: rfry@unc.edu.
University of North Carolina at Chapel Hill · USUniversidad Juárez del Estado de Durango · MXNorth Carolina State University · US

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
TOXICOLOGYT32ES007126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ILONA JASPERS, Bernard E. Weissman · 1985 to 2026
$13.0M
In utero exposure to arsenic, links to epigenetic alterations and diseaseR01ES019315 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 2010 to 2014
$2.3M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES019315NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32 ES007126
6 · The paper itself

Abstract

Arsenic (+3 oxidation state) methyltransferase (AS3MT) is the key enzyme in the metabolism of inorganic arsenic (iAs). Polymorphisms of AS3MT influence adverse health effects in adults, but little is known about their role in iAs metabolism in pregnant women and infants. The relationships between seven single nucleotide polymorphisms (SNPs) in AS3MT and urinary concentrations of iAs and its methylated metabolites were assessed in mother-infant pairs of the Biomarkers of Exposure to ARsenic (BEAR) cohort. Maternal alleles for five of the seven SNPs (rs7085104, rs3740400, rs3740393, rs3740390, and rs1046778) were associated with urinary concentrations of iAs metabolites, and alleles for one SNP (rs3740393) were associated with birth outcomes/measures. These associations were strongly dependent upon the male sex of the fetus but independent of fetal genotype for AS3MT. These data highlight a potential sex-dependence of the relationships among maternal genotype, iAs metabolism and infant health outcomes.

Indexed as

AdolescentAdultArsenicFemaleGenotypeHumansInfant, NewbornMaleMethyltransferasesPolymorphism, Single NucleotidePregnancyPregnancy OutcomeRisk AssessmentSex FactorsYoung AdultArsenicAS3MT protein, humanMethyltransferasesArsenicAS3MTBirth outcomesGenotypePrenatal exposure

Identifiers

PMID26928318
PMCPMC4970429
OpenAlexW2290669839

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.