↓ Skip to main content

Modifying 5-HT1A Receptor Gene Expression as a New Target for Antidepressant Therapy

Overview of attention for article published in Frontiers in Neuroscience, January 2010
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modifying 5-HT1A Receptor Gene Expression as a New Target for Antidepressant Therapy
Published in
Frontiers in Neuroscience, January 2010
DOI 10.3389/fnins.2010.00035
Pubmed ID
Authors

Paul R. Albert, Brice Le François

Abstract

Major depression is the most common form of mental illness, and is treated with antidepressant compounds that increase serotonin (5-HT) neurotransmission. Increased 5-HT1A autoreceptor levels in the raphe nuclei act as a "brake" to inhibit the 5-HT system, leading to depression and resistance to antidepressants. Several 5-HT1A receptor agonists (buspirone, flesinoxan, ipsapirone) that preferentially desensitize 5-HT1A autoreceptors have been tested for augmentation of antidepressant drugs with mixed results. One explanation could be the presence of the C(-1019)G 5-HT1A promoter polymorphism that prevents gene repression of the 5-HT1A autoreceptor. Furthermore, down-regulation of 5-HT1A autoreceptor expression, not simply desensitization of receptor signaling, appears to be required to enhance and accelerate antidepressant action. The current review focuses on the transcriptional regulators of 5-HT1A autoreceptor expression, their roles in permitting response to 5-HT1A-targeted treatments and their potential as targets for new antidepressant compounds for treatment-resistant depression.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Canada 1 1%
Switzerland 1 1%
Unknown 83 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 13 15%
Student > Master 12 14%
Professor > Associate Professor 6 7%
Student > Bachelor 5 6%
Other 17 20%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 34%
Neuroscience 16 18%
Medicine and Dentistry 11 13%
Psychology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 7 8%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 24 May 2017.
All research outputs
#1,678,866
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#839
of 11,538 outputs
Outputs of similar age
#7,322
of 172,619 outputs
Outputs of similar age from Frontiers in Neuroscience
#3
of 37 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.