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GENetic and clinical Predictors Of treatment response in Depression: the GenPod randomised trial protocol

Overview of attention for article published in Trials, May 2008
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Title
GENetic and clinical Predictors Of treatment response in Depression: the GenPod randomised trial protocol
Published in
Trials, May 2008
DOI 10.1186/1745-6215-9-29
Pubmed ID
Authors

Laura Thomas, Jean Mulligan, Victoria Mason, Debbie Tallon, Nicola Wiles, Philip Cowen, David Nutt, Michael O'Donovan, Deborah Sharp, Tim Peters, Glyn Lewis

Abstract

The most effective pharmacological treatments for depression inhibit the transporters that reuptake serotonin (Selective Serotonin Reuptake Inhibitors - SSRIs) and noradrenaline (Noradrenaline Reuptake Inhibitors - NaRIs) into the presynaptic terminal. There is evidence to suggest that noradrenaline and serotonin enhancing drugs work through separate mechanisms to produce their clinical antidepressant action. Although most of the current evidence suggests there is little difference in overall efficacy between SSRIs and NaRIs, there are patients who respond to one class of compounds and not another. This suggests that treatment response could be predicted by genetic and/or clinical characteristics. Firstly, this study aims to investigate the influence of a polymorphism (SLC6A4) in the 5HT transporter in altering response to SSRI medication. Secondly, the study will investigate whether those with more severe depression have a better response to NaRIs than SSRIs.

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Brazil 1 1%
Sweden 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Master 11 16%
Student > Ph. D. Student 7 10%
Professor 5 7%
Student > Doctoral Student 5 7%
Other 17 24%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Psychology 15 21%
Agricultural and Biological Sciences 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Neuroscience 3 4%
Other 9 13%
Unknown 18 26%