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Dove Medical Press

MicroRNA as therapeutic targets for treatment of depression

Overview of attention for article published in Neuropsychiatric Disease and Treatment, July 2013
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
105 Mendeley
Title
MicroRNA as therapeutic targets for treatment of depression
Published in
Neuropsychiatric Disease and Treatment, July 2013
DOI 10.2147/ndt.s34811
Pubmed ID
Authors

Katelin F Hansen, Karl Obrietan

Abstract

Depression is a potentially life-threatening mental disorder affecting approximately 300 million people worldwide. Despite much effort, the molecular underpinnings of clinical depression remain poorly defined, and current treatments carry limited therapeutic efficacy and potentially burdensome side effects. Recently, small noncoding RNA molecules known as microRNA (miRNA) have gained prominence as a target for therapeutic intervention, given their capacity to regulate neuronal physiology. Further, mounting evidence suggests a prominent role for miRNA in depressive molecular signaling. Recent studies have demonstrated that dysregulation of miRNA expression occurs in animal models of depression, and in the post-mortem tissue of clinically depressed patients. Investigations into depression-associated miRNA disruption reveals dramatic effects on downstream targets, many of which are thought to contribute to depressive symptoms. Furthermore, selective serotonin reuptake inhibitors, as well as other antidepressant drugs, have the capacity to reverse aberrant depressive miRNA expression and their downstream targets. Given the powerful effects that miRNA have on the central nervous system transcriptome, and the aforementioned studies, there is a compelling rationale to begin to assess the potential contribution of miRNA to depressive etiology. Here, we review the molecular biology of miRNA, our current understanding of miRNA in relation to clinical depression, and the utility of targeting miRNA for antidepressant treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Mexico 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 20 19%
Professor > Associate Professor 11 10%
Student > Master 11 10%
Student > Bachelor 10 10%
Other 13 12%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 30%
Medicine and Dentistry 21 20%
Neuroscience 20 19%
Psychology 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 6 6%
Unknown 17 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 June 2023.
All research outputs
#14,407,575
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,240
of 3,120 outputs
Outputs of similar age
#106,846
of 207,028 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#17
of 62 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 59% 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 207,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.