Evidence map›Paper›PMID 25774849›Full record

ArticleNature medicine2015

Reversing excitatory GABAAR signaling restores synaptic plasticity and memory in a mouse model of Down syndrome.

Gabriele Deidda, Martina Parrini, Shovan Naskar, Ignacio F Bozarth, Andrea Contestabile, Laura Cancedda

Abstract read
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In one paragraph

Article in Nature medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

152 citing papers in PubMed, 268 citations in OpenAlex.

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  18. NgfrNature communications · 2024
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92 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Gabriele DeiddaNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Martina ParriniNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Shovan NaskarNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Ignacio F BozarthNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Andrea ContestabileNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Laura CanceddaNeuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy.
Italian Institute of Technology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Down syndrome (DS) is the most frequent genetic cause of intellectual disability, and altered GABAergic transmission through Cl(-)-permeable GABAA receptors (GABAARs) contributes considerably to learning and memory deficits in DS mouse models. However, the efficacy of GABAergic transmission has never been directly assessed in DS. Here GABAAR signaling was found to be excitatory rather than inhibitory, and the reversal potential for GABAAR-driven Cl(-) currents (ECl) was shifted toward more positive potentials in the hippocampi of adult DS mice. Accordingly, hippocampal expression of the cation Cl(-) cotransporter NKCC1 was increased in both trisomic mice and individuals with DS. Notably, NKCC1 inhibition by the FDA-approved drug bumetanide restored ECl, synaptic plasticity and hippocampus-dependent memory in adult DS mice. Our findings demonstrate that GABA is excitatory in adult DS mice and identify a new therapeutic approach for the potential rescue of cognitive disabilities in individuals with DS.

Indexed as

Neuronal PlasticityAdolescentAdultAnimalsBehavior, AnimalBumetanideCrosses, GeneticDisease Models, AnimalDown SyndromeFemaleHippocampusHumansMaleMemoryMiceMice, Inbred C3HBumetanideReceptors, GABA-A

Identifiers

PMID25774849
OpenAlexW2093156012

What OpenQuestion holds

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Registered trials

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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.