Evidence map›Paper›PMID 29933497›Full record

ArticleBritish journal of pharmacology2018

Reversal of dopamine-mediated firing inhibition through activation of the dopamine transporter in substantia nigra pars compacta neurons.

Daniela Aversa, Alessandro Martini, Ezia Guatteo, Antonio Pisani, Nicola Biagio Mercuri, Nicola Berretta

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  4. Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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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

6 authors at 3 institutions in 1 country.

Daniela AversaFondazione Santa Lucia IRCCS, Rome, Italy.
Alessandro MartiniFondazione Santa Lucia IRCCS, Rome, Italy.
Ezia GuatteoFondazione Santa Lucia IRCCS, Rome, Italy.
Antonio PisaniFondazione Santa Lucia IRCCS, Rome, Italy.ORCID 0000-0002-8432-594X
Nicola Biagio MercuriFondazione Santa Lucia IRCCS, Rome, Italy.
Nicola BerrettaFondazione Santa Lucia IRCCS, Rome, Italy.ORCID 0000-0001-8097-6238
University of Rome Tor Vergata · ITFondazione Santa Lucia · ITParthenope University of Naples · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeOne of the hallmarks of ventral midbrain dopamine-releasing neurons is membrane hyperpolarization in response to stimulation of somato-dendritic D EXPERIMENTAL APPROACH: We performed single-unit extracellular recordings with a multi-electrode array device and conventional patch-clamp recordings on midbrain mouse slices. KEY

resultsWhile continuous dopamine (100 μM) perfusion gave rise to firing inhibition that recovered in 10 to 15 min, the same effect was not obtained with the D CONCLUSIONS AND IMPLICATIONS: Our results indicate that the DAT plays a major role in DIR, mediating it under conditions of sustained dopamine exposure, and point to DAT as an important target for pharmacological therapies leading to prolonged enhancement of the dopaminergic signal.

Indexed as

AnimalsDopamineDopamine Plasma Membrane Transport ProteinsIn Vitro TechniquesMesencephalonMiceMice, Inbred C57BLMonoamine OxidaseNeuronsPatch-Clamp TechniquesReceptors, Dopamine D2Substantia NigraDopamineDopamine Plasma Membrane Transport ProteinsMonoamine OxidaseReceptors, Dopamine D2

Identifiers

PMID29933497
PMCPMC6086980
OpenAlexW2809473271

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.