Evidence map›Paper›PMID 24835169›Full record

ReviewThe Journal of physiology2014

High affinity and low affinity heteromeric nicotinic acetylcholine receptors at central synapses.

Boris Lamotte d'Incamps, Philippe Ascher

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Cholinergic Modulation of Locomotor Circuits in Vertebrates.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Stoichiometry of the Heteromeric Nicotinic Receptors of the Renshaw Cell.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  8. Article
  9. Article
  10. Review
  11. 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

2 authors at 1 institution in 1 country.

Boris Lamotte d'IncampsCenter for Neurophysics, Physiology, Pathology, CNRS UMR 8119, Université Paris Descartes 45 rue des Saints Pères, Paris, 75006, France boris.lamotte-incamps@parisdescartes.fr.
Philippe AscherLaboratory of Cerebral Physiology, CNRS UMR 8118, Université Paris Descartes 45 rue des Saints Pères, Paris, 75006, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most neuronal heteromeric nicotinic receptors seem able to adopt two different stochiometries depending on the ratio of α and β subunits. In recombinant receptors these two stoichiometries have been associated with different affinities to ACh, but it is not known which stoichiometry is present at nicotinic synapses in the nervous system. One possible clue to this identification is the speed of decay of the synaptic currents. In many ionotropic receptors this speed has been linked to the dissociation rate of the transmitter, which is itself related to its affinity. On this basis we propose that, at the synapse between motoneuron and Renshaw cells, the heteromeric nicotinic receptors are mostly low affinity receptors and suggest that, in contrast, the very slow decay of some synaptic currents recorded in other parts of the brain signs the presence of high affinity receptors rather than volume transmission.

Indexed as

AnimalsBrainExcitatory Postsynaptic PotentialsMotor NeuronsReceptors, NicotinicSynapsesSynaptic TransmissionReceptors, Nicotinic

Identifiers

PMID24835169
PMCPMC4215765
OpenAlexW2170959786

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.