Related Experiment Video
Updated: May 12, 2026

Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder
Published on: April 26, 2024
Pharmacogenomic predictors of citalopram treatment outcome in major depressive disorder
Firoza Mamdani1, Marcelo T Berlim, Marie-Martine Beaulieu
1McGill Group for Suicide Studies, Depressive Disorders Program, Douglas Mental Health University Institute, McGill University , Montreal, Quebec , Canada.
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.
Related Concept Videos
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Pharmacogenomics: Identification of New Drug Targets
Pharmacogenetics of Drug Metabolism: Overview
Pharmacogenetics of Phase I Enzymes: Cytochrome P450 Isozymes
Antidepressant Drugs: MAOIs and Other Agents
Antidepressant Drugs: Overview
