Evidence map›Paper›PMID 20950278›Full record

ArticleThe European journal of neuroscience2010

Retinoic acid receptor-α signalling antagonizes both intracellular and extracellular amyloid-β production and prevents neuronal cell death caused by amyloid-β.

C I Jarvis, M B Goncalves, E Clarke, M Dogruel, S B Kalindjian, S A Thomas, M Maden, J P T Corcoran

Open access · bronzeAbstract read
In one paragraph

Article in The European journal of neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Drug repositioning for Alzheimer's disease.Nature reviews. Drug discovery · 2012
    Pooled it
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  18. Neuroprotection against Amyloid-Neural plasticity · 2020
    Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

C I JarvisThe Wolfson Centre For Age-Related Diseases, King's College London, London, UK.
M B Goncalves
E Clarke
M Dogruel
S B Kalindjian
S A Thomas
M Maden
J P T Corcoran
King's College London · GB

Funding

Wellcome Trust 080268
6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by amyloid-β (Aβ) deposition in the brain, neuronal cell loss and cognitive decline. We show here that retinoic acid receptor (RAR)α signalling in vitro can prevent both intracellular and extracellular Aβ accumulation. RARα signalling increases the expression of a disintegrin and metalloprotease 10, an α-secretase that processes the amyloid precursor protein into the non-amyloidic pathway, thus reducing Aβ production. We also show that RARα agonists are neuroprotective, as they prevent Aβ-induced neuronal cell death in cortical cultures. If RARα agonists are given to the Tg2576 mouse, the normal Aβ production in their brains is suppressed. In contrast, neither RARβ nor γ-agonists affect Aβ production or Aβ-mediated neuronal cell death. Therefore, RARα agonists have therapeutic potential for the treatment of AD.

Indexed as

ADAM10 ProteinADAM ProteinsAmyloid beta-PeptidesAmyloid Precursor Protein SecretasesAnalysis of VarianceAnimalsBenzoatesBlotting, WesternCell DeathCerebral CortexEnzyme-Linked Immunosorbent AssayImmunohistochemistryMaleMembrane ProteinsMiceNeuronsADAM10 ProteinAdam10 protein, mouseADAM ProteinsAm 580Amyloid beta-PeptidesAmyloid Precursor Protein SecretasesBenzoatesCD 437Membrane ProteinsRara protein, mouseReceptors, Retinoic AcidRetinoic Acid Receptor alphaRetinoidsTetrahydronaphthalenes

Identifiers

PMID20950278
PMCPMC3003897
OpenAlexW1515018114

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.