Evidence map›Paper›PMID 18434032›Full record

ReviewNeuroscience2009

Leaky synapses: regulation of spontaneous neurotransmission in central synapses.

C R Wasser, E T Kavalali

Abstract readReview
In one paragraph

Review in Neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Article
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  4. Article
  5. Synaptic Dysfunction in Huntington's Disease: Lessons from Genetic Animal Models.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2022
    Article
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  9. Review
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  13. Review
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  15. Article
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  17. Review
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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

2 authors.

C R WasserDepartment of Neuroscience, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9111, USA.
E T Kavalali

Funding

The role of vesicle recycling in synaptic depressionR01MH068437 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KAVALALI, EGE T · 2004 to 2008
$1.4M
NIMH NIH HHS R01 MH068437
6 · The paper itself

Abstract

The mechanisms underlying spontaneous neurotransmitter release are not well understood. Under physiological as well as pathophysiological circumstances, spontaneous fusion events can set the concentration of ambient levels of neurotransmitter within the synaptic cleft and in the extracellular milieu. In the brain, unregulated release of excitatory neurotransmitters, exacerbated during pathological conditions such as stroke, can lead to neuronal damage and death. In addition, recent findings suggest that under physiological circumstances spontaneous release events can trigger postsynaptic signaling events independent of evoked neurotransmitter release. Therefore, elucidation of mechanisms underlying spontaneous neurotransmission may help us better understand the functional significance of this form of release and provide tools for its selective manipulation. For instance, our recent investigations indicate that the level of cholesterol in the synapse plays a critical role in limiting spontaneous synaptic vesicle fusion. Therefore, alterations in synaptic cholesterol metabolism can be a critical determinant of glutamatergic neurotransmission at rest. This article aims to provide a closer look into our current understanding of the mechanisms underlying spontaneous neurotransmission and the signaling triggered by these unitary release events.

Indexed as

AnimalsBrainCholesterolHumansMembrane FusionMembrane ProteinsNeurotransmitter AgentsPresynaptic TerminalsSynapsesSynaptic TransmissionSynaptic VesiclesCholesterolMembrane ProteinsNeurotransmitter Agents

Identifiers

PMID18434032
PMCPMC2662333

What OpenQuestion holds

Textmetadata
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.