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Transcriptomics and the mechanisms of antidepressant efficacy.

Authors :
Hodgson, Karen
Tansey, Katherine E.
Powell, Timothy R.
Coppola, Giovanni
Uher, Rudolf
Zvezdana Dernovšek, Mojca
Mors, Ole
Hauser, Joanna
Souery, Daniel
Maier, Wolfgang
Henigsberg, Neven
Rietschel, Marcella
Placentino, Anna
Aitchison, Katherine J.
Craig, Ian W.
Farmer, Anne E.
Breen, Gerome
McGuffin, Peter
Dobson, Richard
Source :
European Neuropsychopharmacology. Jan2016, Vol. 26 Issue 1, p105-112. 8p.
Publication Year :
2016

Abstract

The mechanisms by which antidepressants have their effects are not clear and the reasons for variability in treatment outcomes are also unknown. However, there is evidence from candidate gene research that indicates gene expression changes may be involved in antidepressant action. In this study, we examined antidepressant-induced alterations in gene expression on a transcriptome-wide scale, exploring associations with treatment response. Blood samples were taken from a subset of depressed patients from the GENDEP study ( n =136) before and after eight weeks of treatment with either escitalopram or nortriptyline. Transcriptomic data were obtained from these samples using Illumina HumanHT-12 v4 Expression BeadChip microarrays. When analysing individual genes, we observed that changes in the expression of two genes ( MMP28 and KXD1 ) were associated with better response to nortriptyline. Considering connectivity between genes, we identified modules of genes that were highly coexpressed. In the whole sample, changes in one of the ten identified coexpression modules showed significant correlation with treatment response (cor=0.27, p =0.0029). Using transcriptomic approaches, we have identified gene expression correlates of the therapeutic effects of antidepressants, highlighting possible molecular pathways involved in efficacious antidepressant treatment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0924977X
Volume :
26
Issue :
1
Database :
Academic Search Index
Journal :
European Neuropsychopharmacology
Publication Type :
Academic Journal
Accession number :
112674485
Full Text :
https://doi.org/10.1016/j.euroneuro.2015.10.009