Evidence map›Paper›PMID 25459689›Full record

ArticleNeurotoxicology and teratology

Prenatal arsenic exposure alters the programming of the glucocorticoid signaling system during embryonic development.

Katharine E Caldwell, Matthew T Labrecque, Benjamin R Solomon, Abdulmehdi Ali, Andrea M Allan

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Evaluation of Fetal Exposures to Metals and Metalloids through Meconium Analyses: A Review.International journal of environmental research and public health · 2021
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  12. Long-term spatial tracking of cells affected by environmental insults.Journal of neurodevelopmental disorders · 2020
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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

5 authors at 1 institution in 1 country.

Katharine E CaldwellDepartment of Neuroscience, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States.
Matthew T LabrecqueDepartment of Neuroscience, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States.
Benjamin R SolomonDepartment of Neuroscience, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States.
Abdulmehdi AliEarth and Planetary Sciences, University of New Mexico, Albuquerque, NM 87131, United States.
Andrea M AllanDepartment of Neuroscience, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States. Electronic address: aallan@salud.unm.edu.
University of New Mexico · US

Funding

Prenatal arsenic exposure alters transcriptional, post-transcriptional and post-translational programming of the glucocorticoid system in a sexually dimorphic mannerR01ES019583 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ALLAN, ANDREA M · 2011 to 2021
$3.3M
NIEHS NIH HHS 1R01ES019583-01NIEHS NIH HHS R01 ES019583
6 · The paper itself

Abstract

The glucocorticoid system, which plays a critical role in a host of cellular functions including mood disorders and learning and memory, has been reported to be disrupted by arsenic. In previous work we have developed and characterized a prenatal moderate arsenic exposure (50ppb) model and identified several deficits in learning and memory and mood disorders, as well as alterations within the glucocorticoid receptor signaling system in the adolescent mouse. In these present studies we assessed the effects of arsenic on the glucocorticoid receptor (GR) pathway in both the placenta and the fetal brain in response at two critical periods, embryonic days 14 and 18. The focus of these studies was on the 11β-hydroxysteroid dehydrogenase enzymes (11β-HSD1 and 11β-HSD2) which play a key role in glucorticoid synthesis, as well as the expression and set point of the GR negative feedback regulation. Negative feedback regulation is established early in development. At E14 we found arsenic exposure significantly decreased expression of both protein and message in brain of GR and the 11β-HSD1, while 11β-HSD2 enzyme protein levels were increased but mRNA levels were decreased in the brain. These changes in brain protein continued into the E18 time point, but mRNA levels were no longer significantly altered. Placental HSD11B2 mRNA was not altered by arsenic treatment but protein levels were elevated at E14. GR placental protein levels were decreased at E18 in the arsenic exposed condition. This suggests that arsenic exposure may alter GR expression levels as a consequence of a prolonged developmental imbalance between 11β-HSD1 and 11β-HSD2 protein expression despite decreased 11HSDB2 mRNA. The suppression of GR and the failure to turn down 11β-HSD2 protein expression during fetal development may lead to an altered set point for GR signaling throughout adulthood. To our knowledge, these studies are the first to demonstrate that gestational exposure to moderate levels of arsenic results in altered fetal programming of the glucocorticoid system.

Indexed as

Age FactorsAnimalsArsenicBrainDose-Response Relationship, DrugEmbryo, MammalianEmbryonic DevelopmentFemaleGene Expression Regulation, DevelopmentalGlucocorticoidsMaleMiceMice, Inbred C57BLPlacentaPregnancyPrenatal Exposure Delayed EffectsArsenicGlucocorticoidsRNA, MessengerTacrolimus Binding Protein 5Tacrolimus Binding Proteins11-β hydroxysteroid dehydrogenase isozymesArsenicBrainFetalGlucocorticoidPlacenta

Identifiers

PMID25459689
PMCPMC4672640
OpenAlexW2009170407

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.