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Depression pathogenesis and treatment: what can we learn from blood mRNA expression?

Overview of attention for article published in BMC Medicine, February 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

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105 Dimensions

Readers on

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161 Mendeley
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Title
Depression pathogenesis and treatment: what can we learn from blood mRNA expression?
Published in
BMC Medicine, February 2013
DOI 10.1186/1741-7015-11-28
Pubmed ID
Authors

Nilay Hepgul, Annamaria Cattaneo, Patricia A Zunszain, Carmine M Pariante

Abstract

Alterations in several biological systems, including the neuroendocrine and immune systems, have been consistently demonstrated in patients with major depressive disorder. These alterations have been predominantly studied using easily accessible systems such as blood and saliva. In recent years there has been an increasing body of evidence supporting the use of peripheral blood gene expression to investigate the pathogenesis of depression, and to identify relevant biomarkers. In this paper we review the current literature on gene expression alterations in depression, focusing in particular on three important and interlinked biological domains: inflammation, glucocorticoid receptor functionality and neuroplasticity. We also briefly review the few existing transcriptomics studies. Our review summarizes data showing that patients with major depressive disorder exhibit an altered pattern of expression in several genes belonging to these three biological domains when compared with healthy controls. In particular, we show evidence for a pattern of 'state-related' gene expression changes that are normalized either by remission or by antidepressant treatment. Taken together, these findings highlight the use of peripheral blood gene expression as a clinically relevant biomarker approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 2 1%
Brazil 1 <1%
Canada 1 <1%
Poland 1 <1%
Unknown 152 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 34 21%
Student > Master 22 14%
Student > Ph. D. Student 19 12%
Researcher 18 11%
Other 13 8%
Other 26 16%
Unknown 29 18%
Readers by discipline Count As %
Medicine and Dentistry 38 24%
Agricultural and Biological Sciences 20 12%
Psychology 19 12%
Biochemistry, Genetics and Molecular Biology 16 10%
Neuroscience 9 6%
Other 21 13%
Unknown 38 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 02 March 2014.
All research outputs
#2,169,320
of 22,694,633 outputs
Outputs from BMC Medicine
#1,422
of 3,401 outputs
Outputs of similar age
#23,418
of 282,906 outputs
Outputs of similar age from BMC Medicine
#47
of 80 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has gotten more attention than average, scoring higher than 58% 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 282,906 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 91% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.