Evidence map›Paper›PMID 25479081›Full record

ArticleInternational journal of molecular sciences2014

Prenatal exposure to arsenic and cadmium impacts infectious disease-related genes within the glucocorticoid receptor signal transduction pathway.

Julia E Rager, Andrew Yosim, Rebecca C Fry

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 10% 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, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Predictive modeling of biological responses in the rat liver usingComputational toxicology (Amsterdam, Netherlands) · 2021
    Article
  4. Article
  5. Arsenic exposure increased expression of HOTAIR and LincRNA-p21 in vivo and vitro.Environmental science and pollution research international · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Using exposomics to assess cumulative risks and promote health.Environmental and molecular mutagenesis · 2015
    Article
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

3 authors at 1 institution in 1 country.

Julia E RagerDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, CB 7431, Chapel Hill, NC 27599, USA. jrager@live.unc.edu.
Andrew YosimDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, CB 7431, Chapel Hill, NC 27599, USA. yosim@live.unc.edu.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, CB 7431, Chapel Hill, NC 27599, USA. rfry@unc.edu.
University of North Carolina at Chapel Hill · 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
Occupational Safety and Health and Education Research CenterT42OH008673 · OH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NYLANDER-FRENCH, LEENA A · 2005 to 2025
$27.3M
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 P30-ES010126NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42-ES005948NIEHS NIH HHS R01 ES019315NIEHS NIH HHS R01-ES019315NIOSH CDC HHS 2T42 OH-008673NIOSH CDC HHS T42 OH008673
6 · The paper itself

Abstract

There is increasing evidence that environmental agents mediate susceptibility to infectious disease. Studies support the impact of prenatal/early life exposure to the environmental metals inorganic arsenic (iAs) and cadmium (Cd) on increased risk for susceptibility to infection. The specific biological mechanisms that underlie such exposure-mediated effects remain understudied. This research aimed to identify key genes/signal transduction pathways that associate prenatal exposure to these toxic metals with changes in infectious disease susceptibility using a Comparative Genomic Enrichment Method (CGEM). Using CGEM an infectious disease gene (IDG) database was developed comprising 1085 genes with known roles in viral, bacterial, and parasitic disease pathways. Subsequently, datasets collected from human pregnancy cohorts exposed to iAs or Cd were examined in relationship to the IDGs, specifically focusing on data representing epigenetic modifications (5-methyl cytosine), genomic perturbations (mRNA expression), and proteomic shifts (protein expression). A set of 82 infection and exposure-related genes was identified and found to be enriched for their role in the glucocorticoid receptor signal transduction pathway. Given their common identification across numerous human cohorts and their known toxicological role in disease, the identified genes within the glucocorticoid signal transduction pathway may underlie altered infectious disease susceptibility associated with prenatal exposures to the toxic metals iAs and Cd in humans.

Indexed as

ArsenicCadmiumCohort StudiesCommunicable DiseasesFemaleGene Regulatory NetworksHumansPregnancyPrenatal Exposure Delayed EffectsReceptors, GlucocorticoidReproducibility of ResultsRisk FactorsSignal TransductionToxicogeneticsArsenicCadmiumReceptors, Glucocorticoid

Identifiers

PMID25479081
PMCPMC4284714
OpenAlexW2045967218

What OpenQuestion holds

Textmetadata
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.