Evidence map›Paper›PMID 25762320›Full record

ArticleBiophysical journal2015

Exploring the mechanism of general anesthesia: kinetic analysis of GABAA receptor electrophysiology.

Daniel K Lee, Daniel J Albershardt, Robert S Cantor

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 1 institution in 2 countries.

Daniel K LeeDepartment of Chemistry, Dartmouth College, Hanover, New Hampshire.
Daniel J AlbershardtDepartment of Chemistry, Dartmouth College, Hanover, New Hampshire.
Robert S CantorDepartment of Chemistry, Dartmouth College, Hanover, New Hampshire; MEMPHYS Center for Biomembrane Physics, University of Southern Denmark, Odense, Denmark. Electronic address: robert.cantor@dartmouth.edu.
Dartmouth College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A kinetic model of the effect of agonist and anesthetics on ligand-gated ion channels, developed in earlier work, is further refined and used to predict traces observed in fast-perfusion electrophysiological studies on recombinant GABAA receptors under a wide range of agonist and/or anesthetic concentrations. The model incorporates only three conformational states (resting, open, and desensitized) but allows for the modulation of the conformational free energy landscape connecting these states resulting from adsorption of agonist and/or anesthetic to the bilayer in which the protein is embedded. The model is shown to reproduce the diverse and complex features of experimental traces remarkably well, including both anesthetic-induced and agonist-induced traces, as well as the modulation of agonist-induced traces by anesthetic, either coapplied or continuously present. The solutions to the kinetic equations, which give the time-dependence of each of the nine protein states (three ligation states for each of the three conformations), describe the flow of probability among these states and thus reveal the kinetic underpinnings of the traces. Many of the parameters in the model, such as the desorption rate constants of anesthetic and agonist, are directly related to model-independent experimental measurements and thus can serve as a definitive test of its validity.

Indexed as

Models, BiologicalSynaptic TransmissionAnesthetics, GeneralAnimalsGABA-A Receptor AgonistsHumansKineticsProtein BindingProtein ConformationReceptors, GABA-AAnesthetics, GeneralGABA-A Receptor AgonistsReceptors, GABA-A

Identifiers

PMID25762320
PMCPMC4375609
OpenAlexW2170447564

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.