Evidence map›Paper›PMID 26881128›Full record

ReviewNeural plasticity2016

Transcriptional Control of Synaptic Plasticity by Transcription Factor NF-κB.

Christian Engelmann, Ronny Haenold

Open access · goldAbstract readReview
In one paragraph

Review in Neural plasticity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Review
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  14. Review
  15. Article
  16. Structural and Functional Synaptic Plasticity Induced by Convergent Synapse Loss in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  17. Article
  18. Article
  19. Xingnao Jieyu Decoction Reduces Neuroinflammation through the NF-Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  20. 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

2 authors at 1 institution in 1 country.

Christian EngelmannLeibniz Institute on Aging-Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745 Jena, Germany.
Ronny HaenoldLeibniz Institute on Aging-Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745 Jena, Germany.
Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activation of nuclear factor kappa B (NF-κB) transcription factors is required for the induction of synaptic plasticity and memory formation. All components of this signaling pathway are localized at synapses, and transcriptionally active NF-κB dimers move to the nucleus to translate synaptic signals into altered gene expression. Neuron-specific inhibition results in altered connectivity of excitatory and inhibitory synapses and functionally in selective learning deficits. Recent research on transgenic mice with impaired or hyperactivated NF-κB gave important insights into plasticity-related target gene expression that is regulated by NF-κB. In this minireview, we update the available data on the role of this transcription factor for learning and memory formation and comment on cross-sectional activation of NF-κB in the aged and diseased brain that may directly or indirectly affect κB-dependent transcription of synaptic genes.

Indexed as

Transcription, GeneticAnimalsBrainHumansLearningMemoryNeuronal PlasticityNeuronsNF-kappa BSignal TransductionNF-kappa B

Identifiers

PMID26881128
PMCPMC4736603
OpenAlexW2228280734

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.