Whole-genome expression analysis reveals genes associated with treatment response to escitalopram in major depression.

The reasons for variability in treatment response in major depressive disorder (MDD) are not fully understood, but there is accumulating evidence suggesting that therapeutic outcomes of antidepressants can be influenced by genetic factors. In the present study we applied the microarray Illumina platform for whole genome expression profiling in depressive patients treated with escitalopram medication in order to identify genes underlying response to antidepressant treatment. The initial study sample consisted of 135 outpatients with major depressive disorder (mean age 31.1±11.6 years, 68% females) treated with escitalopram 10-20mg/day for 12 weeks, from which 87 patients (55 females) were included in gene expression analyzing. The gene expression profiles were measured on peripheral blood cells at baseline, at week 4 and at the end of treatment (week 12) using BeadChips Illumina. The fold change was used to demonstrate rate of changes in average gene expressions between studied groups. Statistical analyses were performed using the false discovery rate (FDR). The most interesting gene, which showed the predictive effect on treatment outcome by delineating low dose responders and treatment-resistant patients at the beginning of medication, was NLGN2, belonging to a family of neuronal cell surface proteins and involving in synapse formation. In addition, the several gene clusters, related to immune response, signal transduction and neurotrophin pathway, have distinguished responders from non-responders at the week 4 of treatment. After 4 weeks of escitalopram treatment (10mg/day), the YWHAZ gene has showed the highest transcriptional change in responders as compared with non-responders. Finally, at the end of the treatment we noticed that at least three genes (NR2C2, ZNF641, FKBP1A) have been strongly associated with resistance to escitalopram. Thus the results of this study support that exploration of peripheral gene expression is a useful tool in the further identification of novel genetic biomarkers for antidepressant treatment response.

Whole-exome sequencing identifies a polymorphism in the BMP5 gene associated with SSRI treatment response in major depression.

Although antidepressants are widely used in the pharmacotherapy of major depressive disorder (MDD), their efficacy is still insufficient as approximately one-third of the patients do not fully recover even after several treatment trials. Inter-individual genetic differences are thought to contribute to the variability in antidepressant response; however, current findings from pharmacogenetic studies are uncertain or not clearly replicated. Here we report the first application of full exome sequencing for the analysis of pharmacogenomics on antidepressant treatment. After 12 weeks of treatment with the selective serotonin re-uptake inhibitor escitalopram, we selected five clear responders and five clear non-responders for exome sequencing. By comparing the allele counts of previously known single nucleotide polymorphisms and novel polymorphisms we selected 38 markers for further genotyping in two independent patient samples treated with escitalopram (n=116 and n=394). The A allele, carried by approximately 30% of the patients with MDD, of rs41271330 in the bone morphogenetic protein (BMP5) gene showed strong association with worse treatment response in both sample sets (p=0.001), indicating that this is an promising pharmacogenetic marker for prediction of antidepressant therapeutic outcome.

Peripheral gene expression profiling of CCK-4-induced panic in healthy subjects.

Progress in understanding the genetic basis of panic attacks may extend current knowledge on susceptibility to panic and pathogenesis of panic disorder. In the present study we applied the microarray Illumina platform for whole genome expression profiling in healthy subjects participating in the CCK-4-induced panic test. The study sample consisted of 31 male and female healthy volunteers, who were categorized according to predefined criteria as "panickers" or "non-panickers" to a CCK-4 challenge. The gene expression profiles were measured on peripheral blood cells at baseline and at 120 min post-CCK-4 injection using Illumina Human-6 v2 BeadChips. The fold change was used to demonstrate rate of changes in average gene expressions between studied groups. Statistical analyses were performed using the false discovery rate (FDR). Gene expression profiling 2 hr post-CCK-4 challenge showed changes in transcriptional levels of 226 genes. A total of 61 genes were differentially expressed between panickers and non-panickers with most of them related to immune, enzymatic or stress regulation systems. Other distinctive mRNA transcripts were from the genes known to be related to phenotypes associated with increased occurrence of panic attacks, such as asthma, diabetes, or myocardial ischemia. Our findings provide preliminary evidence for genetic substrates of panic attacks on the transcriptional level and indicate potential biological proximity between acute panicogenesis and several somatic conditions.

Serotonin transporter promoter region polymorphisms do not influence treatment response to escitalopram in patients with major depression.

Several studies and meta-analyses have implicated a polymorphism in the promoter region of the serotonin transporter (5-HTT) gene, 5-HTTLPR in treatment outcomes of selective serotonin re-uptake inhibitors in patients with major depression. In this study we investigated the impact of 5-HTTLPR and a functional SNP rs25531 on the treatment outcomes to escitalopram in depressive patients. The study sample consisted of 135 outpatients with major depressive disorder (mean age 31.1+/-11.6 years, 68% females) treated with escitalopram 10-20 mg/day for 12 weeks. There were no significant associations between 5-HTT promoter region polymorphisms and response rate or mean change of depressive symptoms during escitalopram treatment. However we showed that patients carrying S allele of 5-HTTLPR may have increased risk for some side effects, including headache, induced by escitalopram medication.