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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
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% |