Pharmacogenomic predictors of citalopram treatment outcome in major depressive disorder.
World J Biol Psychiatry
; 15(2): 135-44, 2014 Feb.
Article
in En
| MEDLINE
| ID: mdl-23530732
ABSTRACT
OBJECTIVES:
A significant proportion of patients with major depressive disorder (MDD) do not improve following treatment with first-line antidepressants and, currently, there are no objective indicators of predictors of antidepressant response. The aim of this study was to investigate pre-treatment peripheral gene expression differences between future remitters and non-responders to citalopram treatment and identify potential pharmacogenomic predictors of response.METHODS:
We conducted a gene expression study using Affymetrix HG-U133 Plus2 microarrays in peripheral blood samples from untreated individuals with MDD (N = 77), ascertained at a community outpatient clinic, prior to an 8-week treatment with citalopram. Gene expression differences were assessed between remitters and non-responders to treatment. Technical validation of significant probesets was carried out by qRT-PCR.RESULTS:
A total of 434 probesets displayed significant correlation to change in score and 33 probesests were differentially expressed between eventual remitters and non-responders. Probesets for SMAD 7 (SMA- and MAD-related protein 7) and SIGLECP3 (sialic acid-binding immunoglobulin-like lectin, pseudogene 3) were the most significant differentially expressed genes following FDR correction, and both were down-regulated in individuals who responded to treatment.CONCLUSIONS:
These findings point to SMAD7 and SIGLECP3 as candidate predictive biomarkers of antidepressant response.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pharmacogenetics
/
Citalopram
/
Gene Expression
/
Treatment Outcome
/
Selective Serotonin Reuptake Inhibitors
/
Depressive Disorder, Major
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
En
Journal:
World J Biol Psychiatry
Journal subject:
PSIQUIATRIA
Year:
2014
Type:
Article
Affiliation country:
Canada