Evidence map›Paper›PMID 23866971›Full record

ArticleEnvironmental health : a global access science source2013

Association between In Utero arsenic exposure, placental gene expression, and infant birth weight: a US birth cohort study.

Dennis Liang Fei, Devin C Koestler, Zhigang Li, Camilla Giambelli, Avencia Sanchez-Mejias, Julie A Gosse, Carmen J Marsit, Margaret R Karagas, David J Robbins

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Heavy metals and metalloids exposure andFrontiers in reproductive health · 2022
    Review
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  15. Article
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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 1 country.

Dennis Liang FeiDepartment of Surgery, Molecular Oncology Program, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Devin C Koestler
Zhigang Li
Camilla Giambelli
Avencia Sanchez-Mejias
Julie A Gosse
Carmen J Marsit
Margaret R Karagas
David J Robbins
Dartmouth College · USUniversity of Miami · USMolecular Oncology (United States) · USSylvester Comprehensive Cancer Center · USUniversity of Maine · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
NONMELANOMA SKIN CANCER IN NEW HAMPSHIRER01CA057494 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1993 to 2015
$10.9M
Project 3: Placental Biomarkers of Exposure and Outcome (Marsit)P01ES022832 · NIEHS · DARTMOUTH COLLEGE · PI MURRAY, CAROLYN J · 2013 to 2018
$4.7M
Characterization of Sonic Hedgehog BiogenesisR01GM064011 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ROBBINS, DAVID J · 2002 to 2011
$2.6M
Project 4: Determining How Arsenic Modulates Hedgehog Signaling During DevelopmenP20ES018175 · NIEHS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2010 to 2012
$892k
Characterization of Sonic Hedgehog BiogenesisR56GM064011 · NIGMS · DARTMOUTH COLLEGE · PI ROBBINS, DAVID J · 2007 to 2007
$327k
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA057494NIEHS NIH HHS ES018175NIEHS NIH HHS P01 ES022832NIEHS NIH HHS P42 ES007373NIGMS NIH HHS GM64011ORD VA RD83459901
6 · The paper itself

Abstract

backgroundEpidemiologic studies and animal models suggest that in utero arsenic exposure affects fetal health, with a negative association between maternal arsenic ingestion and infant birth weight often observed. However, the molecular mechanisms for this association remain elusive. In the present study, we aimed to increase our understanding of the impact of low-dose arsenic exposure on fetal health by identifying possible arsenic-associated fetal tissue biomarkers in a cohort of pregnant women exposed to arsenic at low levels.

methodsArsenic concentrations were determined from the urine samples of a cohort of 133 pregnant women from New Hampshire. Placental tissue samples collected from enrollees were homogenized and profiled for gene expression across a panel of candidate genes, including known arsenic regulated targets and genes involved in arsenic transport, metabolism, or disease susceptibility. Multivariable adjusted linear regression models were used to examine the relationship of candidate gene expression with arsenic exposure or with birth weight of the baby.

resultsPlacental expression of the arsenic transporter AQP9 was positively associated with maternal urinary arsenic levels during pregnancy (coefficient estimate: 0.25; 95% confidence interval: 0.05 - 0.45). Placental expression of AQP9 related to expression of the phospholipase ENPP2 which was positively associated with infant birth weight (coefficient estimate: 0.28; 95% CI: 0.09 - 0.47). A structural equation model indicated that these genes may mediate arsenic's effect on infant birth weight (coefficient estimate: -0.009; 95% confidence interval: -0.032 - -0.001; 10,000 replications for bootstrapping).

conclusionsWe identified the expression of AQP9 as a potential fetal biomarker for arsenic exposure. Further, we identified a positive association between the placental expression of phospholipase ENPP2 and infant birth weight. These findings suggest a path by which arsenic may affect birth outcomes.

Indexed as

Gene Expression Regulation, DevelopmentalMaternal ExposureAdultAquaporinsArsenicBiomarkersBirth WeightChromatography, High Pressure LiquidCohort StudiesFemaleGestational AgeHumansInfant, NewbornLinear ModelsLysophospholipase DMaleAQP9 protein, humanAquaporinsArsenicBiomarkersLysophospholipase DPhosphoric Diester HydrolasesWater Pollutants, Chemical

Identifiers

PMID23866971
PMCPMC3733767
OpenAlexW2132284147

What OpenQuestion holds

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LicenceCC BY
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.