Evidence map›Paper›PMID 30824750›Full record

ArticleScientific reports2019

Ablation of glucocorticoid receptor in the hindbrain of the mouse provides a novel model to investigate stress disorders.

Anne-Louise Gannon, Laura O'Hara, J Ian Mason, Diane Rebourcet, Sarah Smith, Adriana Traveres, Carlos Jose Alcaide-Corral, Hanne Frederiksen, Anne Jørgensen, Laura Milne and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Glucocorticoid receptor gene (Neurobiology of stress · 2026
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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

12 authors at 3 institutions in 3 countries.

Anne-Louise GannonMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Laura O'HaraMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.ORCID 0000-0001-7790-9261
J Ian MasonMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Diane RebourcetMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Sarah SmithMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Adriana TraveresEdinburgh Preclinical Imaging, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
Carlos Jose Alcaide-CorralEdinburgh Preclinical Imaging, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
Hanne FrederiksenDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Anne JørgensenDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Laura MilneMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Rod T MitchellMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.ORCID 0000-0003-4650-3765
Lee B SmithMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK. Lee.Smith@ed.ac.uk.
MRC Centre for Reproductive Health · GBUniversity of Copenhagen · DKUniversity of Edinburgh · GB

Funding

RCUK | Medical Research Council (MRC) MR/N002970/1
6 · The paper itself

Abstract

The hypothalamic-pituitary-adrenal (HPA) axis regulates responses to internal and external stressors. Many patients diagnosed with conditions such as depression or anxiety also have hyperactivity of the HPA axis. Hyper-stimulation of the HPA axis results in sustained elevated levels of glucocorticoids which impair neuronal function and can ultimately result in a psychiatric disorder. Studies investigating Glucocorticoid Receptor (GR/NR3C1) in the brain have primarily focused on the forebrain, however in recent years, the hindbrain has become a region of interest for research into the development of anxiety and depression, though the role of GR signalling in the hindbrain remains poorly characterised. To determine the role of glucocorticoid signalling in the hindbrain we have developed a novel mouse model that specifically ablates hindbrain GR to ascertain its role in behaviour, HPA-axis regulation and adrenal structure. Our study highlights that ablation of GR in the hindbrain results in excessive barbering, obsessive compulsive digging and lack of cage exploration. These mice also develop kyphosis, elevated circulating corticosterone and severe adrenal cortex disruption. Together, this data demonstrates a role for hindbrain GR signalling in regulating stress-related behaviour and identifies a novel mouse model to allow further investigation into the pathways impacting stress and anxiety.

Indexed as

Adrenal CortexAnimalsBehavior, AnimalBody WeightDisease Models, AnimalFemaleKyphosisMaleMice, Inbred C57BLMice, KnockoutPositron-Emission TomographyReceptors, GlucocorticoidRecombination, GeneticRhombencephalonStress, PsychologicalTomography, X-Ray ComputedReceptors, Glucocorticoid

Identifiers

PMID30824750
PMCPMC6397323
OpenAlexW2920226987

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.