Evidence map›Paper›PMID 25451397›Full record

ArticleJournal of affective disorders2015

Molecular signatures of mood stabilisers highlight the role of the transcription factor REST/NRSF.

Alix Warburton, Abigail L Savage, Paul Myers, David Peeney, Vivien J Bubb, John P Quinn

Open access · hybridAbstract read
In one paragraph

Article in Journal of affective disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  7. Review
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  9. Article
  10. NRSF: an angel or a devil in neurogenesis and neurological diseases.Journal of molecular neuroscience : MN · 2015
    Review
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

6 authors at 1 institution in 1 country.

Alix WarburtonDepartment of Molecular and Clinical Pharmacology, The University of Liverpool, Liverpool, UK.
Abigail L SavageDepartment of Molecular and Clinical Pharmacology, The University of Liverpool, Liverpool, UK.
Paul MyersDepartment of Molecular and Clinical Pharmacology, The University of Liverpool, Liverpool, UK.
David PeeneyDepartment of Physiology, The University of Liverpool, Liverpool, UK.
Vivien J BubbDepartment of Molecular and Clinical Pharmacology, The University of Liverpool, Liverpool, UK.
John P QuinnDepartment of Molecular and Clinical Pharmacology, The University of Liverpool, Liverpool, UK. Electronic address: jquinn@liverpool.ac.uk.
University of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F016905/1Wellcome TrustWellcome Trust WT091483/Z
6 · The paper itself

Abstract

backgroundThe purpose of this study was to address the affects of mood modifying drugs on the transcriptome, in a tissue culture model, using qPCR arrays as a cost effective approach to identifying regulatory networks and pathways that might coordinate the cell response to a specific drug.

methodsWe addressed the gene expression profile of 90 plus genes associated with human mood disorders using the StellARray™ qPCR gene expression system in the human derived SH-SY5Y neuroblastoma cell line.

resultsGlobal Pattern Recognition (GPR) analysis identified a total of 9 genes (DRD3(⁎), FOS(†), JUN(⁎), GAD1(⁎†), NRG1(⁎), PAFAH1B3(⁎), PER3(⁎), RELN(⁎) and RGS4(⁎)) to be significantly regulated in response to cellular challenge with the mood stabilisers sodium valproate ((⁎)) and lithium ((†)). Modulation of FOS and JUN highlights the importance of the activator protein 1 (AP-1) transcription factor pathway in the cell response. Enrichment analysis of transcriptional networks relating to this gene set also identified the transcription factor neuron restrictive silencing factor (NRSF) and the oestrogen receptor as an important regulatory mechanism. LIMITATIONS: Cell line models offer a window of what might happen in vivo but have the benefit of being human derived and homogenous with regard to cell type.

conclusionsThis data highlights transcription factor pathways, acting synergistically or separately, in the modulation of specific neuronal gene networks in response to mood stabilising drugs. This model can be utilised in the comparison of the action of multiple drug regimes or for initial screening purposes to inform optimal drug design.

Indexed as

TranscriptomeAntimanic AgentsCell LineHumansLithium CompoundsRE1-Silencing Transcription FactorReelin ProteinRepressor ProteinsValproic AcidAntimanic AgentsLithium CompoundsRE1-Silencing Transcription FactorReelin ProteinRELN protein, humanRepressor ProteinsValproic AcidGlobal Pattern RecognitionMood disordersMood-modifying drugsNeuronal signallingNRSFPathway analysis

Identifiers

PMID25451397
PMCPMC4271744
OpenAlexW2039280141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.