Evidence map›Paper›PMID 19756379›Full record

ArticleCellular and molecular life sciences : CMLS2009

GABA transporter lysine 448: a key residue for tricyclic antidepressants interaction.

Francesca Cherubino, Andreea Miszner, Maria Daniela Renna, Rachele Sangaletti, Stefano Giovannardi, Elena Bossi

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Substrate and drug binding sites in LeuT.Current opinion in structural biology · 2010
    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

6 authors at 1 institution in 1 country.

Francesca CherubinoLaboratory of Cellular and Molecular Physiology, Department of Biotechnology and Molecular Sciences, University of Insubria, DBSM, Via Dunant 3, 21100 Varese, Italy.
Andreea Miszner
Maria Daniela Renna
Rachele Sangaletti
Stefano Giovannardi
Elena Bossi
University of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of three tricyclic antidepressants (TCAs) and two serotonin selective reuptake inhibitors (SSRIs) have been studied with an electrophysiological approach on Xenopus laevis oocytes expressing the rat GABA (gamma-Aminobutyric-acid) transporter rGAT1. All tested TCAs and SSRIs inhibit the GABA-associated current in a dose-dependent way with low but comparable efficacy. The pre-steady-state and uncoupled currents appear substantially unaffected. The efficacy of desipramine, but not of the other drugs, is strongly increased in the lysine-glutamate or -aspartate mutants K448E and K448D. Comparison of I(max) and K(0.5GABA) in the absence and presence of desipramine showed that both parameters are reduced by the drug in the wild-type and in the K448E mutant. This suggests an uncompetitive inhibition, in which the drug can bind only after the substrate, an explanation in agreement with the lack of effects on the pre-steady-state and leak currents, and with the known structural data.

Indexed as

AnimalsAntidepressive Agents, TricyclicCell LineElectrophysiologyGABA Plasma Membrane Transport ProteinsHumansInhibitory Concentration 50Point MutationRatsSelective Serotonin Reuptake InhibitorsXenopus laevisAntidepressive Agents, TricyclicGABA Plasma Membrane Transport ProteinsSelective Serotonin Reuptake Inhibitors

Identifiers

PMID19756379
PMCPMC11115653
OpenAlexW2055712190

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.