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Molecular and cellular dissection of NMDA receptor subtypes as antidepressant targets

Overview of attention for article published in Neuroscience & Biobehavioral Reviews, August 2017
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Title
Molecular and cellular dissection of NMDA receptor subtypes as antidepressant targets
Published in
Neuroscience & Biobehavioral Reviews, August 2017
DOI 10.1016/j.neubiorev.2017.08.012
Pubmed ID
Authors

Elisabeth Lang, Anne S. Mallien, Andrei-Nicolae Vasilescu, Dimitri Hefter, Alessia Luoni, Marco A. Riva, Stefan Borgwardt, Rolf Sprengel, Undine E. Lang, Peter Gass, Dragos Inta

Abstract

A growing body of evidence supports the idea that drugs targeting the glutamate system may represent a valuable therapeutic alternative in major depressive disorders (MDD). The rapid and prolonged mood elevating effect of the NMDA receptor (NMDAR) antagonist ketamine has been studied intensely. However, its clinical use is hampered by deleterious side-effects, such as psychosis. Therefore, a better understanding of the mechanisms of the psychotropic effects after NMDAR blockade is necessary to develop glutamatergic antidepressants with improved therapeutic profile. Here we review recent experimental data that addressed molecular/cellular determinants of the antidepressant effect mediated by inactivating NMDAR subtypes. We refer to results obtained both in pharmacological and genetic animal models, ranging from global to conditional NMDAR manipulation. Our main focus is on the contribution of different NMDAR subtypes to the psychoactive effects induced by NMDAR ablation/blockade. We review data analyzing the effect of NMDAR subtype deletions limited to specific neuronal populations/brain areas in the regulation of mood. Altogether, these studies suggest effective and putative specific NMDAR drug targets for MDD treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 13%
Student > Ph. D. Student 11 12%
Researcher 10 11%
Student > Master 8 9%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 33 35%
Readers by discipline Count As %
Neuroscience 18 19%
Medicine and Dentistry 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Agricultural and Biological Sciences 6 6%
Psychology 6 6%
Other 5 5%
Unknown 42 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Neuroscience & Biobehavioral Reviews
#4,080
of 4,284 outputs
Outputs of similar age
#285,347
of 325,032 outputs
Outputs of similar age from Neuroscience & Biobehavioral Reviews
#71
of 77 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.