Evidence map›Paper›PMID 27163206›Full record

ArticleTranslational psychiatry2016

Differential expression of transcriptional regulatory units in the prefrontal cortex of patients with bipolar disorder: potential role of early growth response gene 3.

B Pfaffenseller, P V da Silva Magalhães, M A De Bastiani, M A A Castro, A L Gallitano, F Kapczinski, F Klamt

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Intracellular Signaling Cascades in Bipolar Disorder.Current topics in behavioral neurosciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Frontiers in behavioral neuroscience · 2018
    Article
  16. Article
  17. The Immediate Early GeneFrontiers in behavioral neuroscience · 2018
    Article
  18. Article
  19. Reward Network Immediate Early Gene Expression in Mood Disorders.Frontiers in behavioral neuroscience · 2017
    Review
  20. 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

7 authors at 3 institutions in 2 countries.

B PfaffensellerBipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
P V da Silva MagalhãesBipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
M A De BastianiLaboratory of Cellular Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
M A A CastroBioinformatics and Systems Biology Laboratory, Federal University of Paraná, Polytechnic Center, Curitiba, Brazil.
A L GallitanoDepartment of Basic Medical Sciences, University of Arizona College of Medicine, Phoenix, AZ, USA.
F KapczinskiBipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
F KlamtLaboratory of Cellular Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Universidade Federal do Rio Grande do Sul · BRUniversidade Federal do Paraná · BRUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is a severe mental illness with a strong genetic component. Despite its high degree of heritability, current genetic studies have failed to reveal individual loci of large effect size. In lieu of focusing on individual genes, we investigated regulatory units (regulons) in BD to identify candidate transcription factors (TFs) that regulate large groups of differentially expressed genes. Network-based approaches should elucidate the molecular pathways governing the pathophysiology of BD and reveal targets for potential therapeutic intervention. The data from a large-scale microarray study was used to reconstruct the transcriptional associations in the human prefrontal cortex, and results from two independent microarray data sets to obtain BD gene signatures. The regulatory network was derived by mapping the significant interactions between known TFs and all potential targets. Five regulons were identified in both transcriptional network models: early growth response 3 (EGR3), TSC22 domain family, member 4 (TSC22D4), interleukin enhancer-binding factor 2 (ILF2), Y-box binding protein 1 (YBX1) and MAP-kinase-activating death domain (MADD). With a high stringency threshold, the consensus across tests was achieved only for the EGR3 regulon. We identified EGR3 in the prefrontal cortex as a potential key target, robustly repressed in both BD signatures. Considering that EGR3 translates environmental stimuli into long-term changes in the brain, disruption in biological pathways involving EGR3 may induce an impaired response to stress and influence on risk for psychiatric disorders, particularly BD.

Indexed as

AdolescentAdultBipolar DisorderCase-Control StudiesDeath Domain Receptor Signaling Adaptor ProteinsEarly Growth Response Protein 3FemaleGene Regulatory NetworksGuanine Nucleotide Exchange FactorsHumansLaser Capture MicrodissectionMaleMiddle AgedNuclear Factor 45 ProteinPrefrontal CortexTranscription FactorsDeath Domain Receptor Signaling Adaptor ProteinsEarly Growth Response Protein 3EGR3 protein, humanGuanine Nucleotide Exchange FactorsILF2 protein, humanMADD protein, humanNuclear Factor 45 ProteinTranscription FactorsTSC22D4 protein, humanY-Box-Binding Protein 1YBX1 protein, human

Identifiers

PMID27163206
PMCPMC5070056
OpenAlexW2391932917

What OpenQuestion holds

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LicenceCC BY
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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.