Evidence map›Paper›PMID 27285004›Full record

ReviewAnesthesia and analgesia2016

Regulating the Efficacy of Inhibition Through Trafficking of γ-Aminobutyric Acid Type A Receptors.

Thuy N Vien, Stephen J Moss, Paul A Davies

Open access · greenAbstract readReview
In one paragraph

Review in Anesthesia and analgesia, 2016. 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
0.7field-weighted citation impact, top 32% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Thuy N VienFrom the *Department of Neuroscience, Tufts University School of Medicine, Sackler School of Graduate Biomedical Sciences, Boston, Massachusetts; and †Department of Neuroscience, Tufts University School of Medicine, Boston, Massachusetts.
Stephen J Moss
Paul A Davies
Tufts University · US

Funding

Mechanisms that determine Glutamine synthetase activity in the brainR01NS081986 · NINDS · TUFTS UNIVERSITY BOSTON · PI MOSS, STEPHEN J · 2012 to 2022
$3.7M
Constructing inhibitory synapsesR01NS051195 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MOSS, STEPHEN J · 2006 to 2014
$3.2M
Studies on the structure of gamma-aminobutyric acid type A receptor subtypesR01MH118263 · NIMH · TUFTS UNIVERSITY BOSTON · PI MOSS, STEPHEN J · 2019 to 2023
$2.4M
Modulation of KCC2 activity and the postnatal development of synaptic inhibitionR01NS101888 · NINDS · TUFTS UNIVERSITY BOSTON · PI DEEB, TAREK ZIAD, MOSS, STEPHEN J · 2017 to 2021
$2.3M
Dissecting Mechanisms of GABAB-GIRK Plasticity with PsychostimulantsR01DA037170 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MOSS, STEPHEN J, SLESINGER, PAUL A · 2014 to 2018
$2.1M
Novel actions of neurosteroids on GABA (A) receptor traffickingR01MH097446 · NIMH · TUFTS UNIVERSITY BOSTON · PI DAVIES, PAUL ANDREW, MOSS, STEPHEN J · 2013 to 2017
$2.1M
Deficits in KCC2 activity and the pathophysiology of Status EpilepticusR01NS087662 · NINDS · TUFTS UNIVERSITY BOSTON · PI MOSS, STEPHEN J · 2014 to 2018
$2.0M
The role of ubiquitination in regulating GABA(A) receptor functional expressionR01NS056359 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MOSS, STEPHEN J · 2007 to 2010
$1.4M
Impaired KCC2 function underlies pharmacoresistant seizuresR21NS080064 · NINDS · TUFTS UNIVERSITY BOSTON · PI MOSS, STEPHEN J · 2013 to 2014
$452k
NIDA NIH HHS R01 DA037170NIMH NIH HHS R01 MH097446NIMH NIH HHS R01 MH118263NINDS NIH HHS R01 NS051195NINDS NIH HHS R01 NS056359NINDS NIH HHS R01 NS081986NINDS NIH HHS R01 NS087662NINDS NIH HHS R01 NS101888NINDS NIH HHS R21 NS080064
6 · The paper itself

Abstract

Trafficking of anesthetic-sensitive receptors within the plasma membrane, or from one cellular component to another, occurs continuously. Changes in receptor trafficking have implications in altering anesthetic sensitivity. γ-Aminobutyric acid type A receptors (GABAARs) are anion-permeable ion channels and are the major class of receptor in the adult mammalian central nervous system that mediates inhibition. GABAergic signaling allows for precise synchronized firing of action potentials within brain circuits that is critical for cognition, behavior, and consciousness. This precision depends upon tightly controlled trafficking of GABAARs into the membrane. General anesthetics bind to and allosterically enhance GABAARs by prolonging the open state of the receptor and thereby altering neuronal and brain circuit activity. Subunit composition and GABAAR localization strongly influence anesthetic end points; therefore, changes in GABAAR trafficking could have significant consequences to anesthetic sensitivity. GABAARs are not static membrane structures but are in a constant state of flux between extrasynaptic and synaptic locations and are continually endocytosed and recycled from and to the membrane. Neuronal activity, posttranslational modifications, and some naturally occurring and synthetic compounds can influence the expression and trafficking of GABAARs. In this article, we review GABAARs, their trafficking, and how phosphorylation of GABAAR subunits can influence the surface expression and function of the receptor. Ultimately, alterations of GABAAR trafficking could modify anesthetic end points, both unintentionally through pathologic processes but potentially as a therapeutic target to adjust anesthetic-sensitive GABAARs.

Indexed as

Anesthetics, GeneralAnimalsGABA AntagonistsHumansNeural InhibitionProtein TransportReceptors, GABA-AAnesthetics, GeneralGABA AntagonistsReceptors, GABA-A

Identifiers

PMID27285004
PMCPMC5073032
OpenAlexW2412393511

What OpenQuestion holds

Textmetadata
LicenceTDM
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.