Response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably between patients. The International SSRI Pharmacogenomics Consortium (ISPC) was formed with the primary goal of identifying genetic variation that may contribute to response to SSRI treatment of major depressive disorder. A genome-wide association study of 4-week treatment outcomes, measured using the 17-item Hamilton Rating Scale for Depression (HRSD-17), was performed using data from 865 subjects from seven sites. The primary outcomes were percent change in HRSD-17 score and response, defined as at least 50% reduction in HRSD-17. Data from two prior studies, the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study (PGRN-AMPS) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, were used for replication, and a meta-analysis of the three studies was performed (N=2394). Although many top association signals in the ISPC analysis map to interesting candidate genes, none were significant at the genome-wide level and the associations were not replicated using PGRN-AMPS and STAR*D data. Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P=5.03E−08) and SNPs 5' upstream of the neuregulin-1 gene, NRG1 (P=1.20E−06). NRG1 is involved in many aspects of brain development, including neuronal maturation and variations in this gene have been shown to be associated with increased risk for mental disorders, particularly schizophrenia. Replication and functional studies of these findings are warranted.

Genes that regulate the serotonin signalling system are potential targets for research in the aetiology of mood disorders and also in the treatment response of serotonin reuptake inhibitors. In this study, we evaluated the association of seven serotonin signal transduction-linked single nucleotide polymorphisms [HTR1A (rs6295), HTR2A (rs6313, rs6311 and rs7997012), HTR6 (rs1805054), TPH1 (rs1800532) and TPH2 (rs1386494)] with major depressive disorder and/or treatment outcome with serotonin reuptake inhibitors. Patients who met the criteria for major depressive disorder were treated for 6 weeks with fluoxetine, paroxetine or citalopram. The treatment response was evaluated with the Montgomery-Asberg Depression Rating Scale, and according to predefined response criteria, the patients were divided into responders, nonresponders, remitters and nonremitters. Altogether, 86 patients completed the entire study according to the study protocol. We had also a control population (N = 395) of healthy blood donors. None of the seven single nucleotide polymorphisms was associated with major depressive disorder or with treatment response in our study population of Finnish individuals.

In an open, randomised, cross-over study we investigated the effect of a single 200 mg oral dose of entacapone, a novel catechol-O-methyltransferase (COMT) inhibitor, on the pharmacokinetics and metabolism of levodopa/carbidopa, and on the cardiovascular responses (blood pressure and pulse rate variation to standard stimuli) in eight parkinsonian patients. Entacapone significantly increased the mean area under the plasma concentration curve (AUC) of levodopa by 46%, from 3620 to 5280 h.ng.ml-1 and prolonged its elimination half-life (t1/2el) from 1.5 h to 2.0 h. The mean AUC of 3,4-dihydroxyphenylacetic acid (DOPAC), the monoamine oxidase-dependent metabolite of levodopa, was significantly increased from 122 to 343 h.micrograms.ml-1 by entacapone. A small decrease in the AUC of homovanillic acid (HVA), the COMT dependent metabolite of levodopa, was observed (from 455 to 303 h.ng.ml-1). Entacapone also decreased the excretion of HVA but not that of 3-methoxytyramine in the urine. Cardiovascular autonomic responses to sympathetic and parasympathetic stimuli were not changed by entacapone. We conclude that a single dose of entacapone moderately increases the AUC and prolongs the t1/2el of levodopa in man and that that does not affect cardiovascular autonomic regulation.

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Studies reported a strong genetic correlation between the Big Five personality traits and major depressive disorder (MDD). Moreover, personality traits are thought to be associated with response to antidepressants treatment that might partly be mediated by genetic factors. In this study, we examined whether polygenic scores (PGSs) derived from the Big Five personality traits predict treatment response and remission in patients with MDD who were prescribed selective serotonin reuptake inhibitors (SSRIs). In addition, we performed meta-analyses of genome-wide association studies (GWASs) on these traits to identify genetic variants underpinning the cross-trait polygenic association. The PGS analysis was performed using data from two cohorts: the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS, n = 529) and the International SSRI Pharmacogenomics Consortium (ISPC, n = 865). The cross-trait GWAS meta-analyses were conducted by combining GWAS summary statistics on SSRIs treatment outcome and on the personality traits. The results showed that the PGS for openness and neuroticism were associated with SSRIs treatment outcomes at p < 0.05 across PT thresholds in both cohorts. A significant association was also found between the PGS for conscientiousness and SSRIs treatment response in the PGRN-AMPS sample. In the cross-trait GWAS meta-analyses, we identified eight loci associated with (a) SSRIs response and conscientiousness near YEATS4 gene and (b) SSRI remission and neuroticism eight loci near PRAG1, MSRA, XKR6, ELAVL2, PLXNC1, PLEKHM1, and BRUNOL4 genes. An assessment of a polygenic load for personality traits may assist in conjunction with clinical data to predict whether MDD patients might respond favorably to SSRIs.