Neuronal cell adhesion genes and antidepressant response in three independent samples.

Drug-effect phenotypes in human lymphoblastoid cell lines recently allowed to identify CHL1 (cell adhesion molecule with homology to L1CAM), GAP43 (growth-associated protein 43) and ITGB3 (integrin beta 3) as new candidates for involvement in the antidepressant effect. CHL1 and ITGB3 code for adhesion molecules, while GAP43 codes for a neuron-specific cytosolic protein expressed in neuronal growth cones; all the three gene products are involved in synaptic plasticity. Sixteen polymorphisms in these genes were genotyped in two samples (n=369 and 90) with diagnosis of major depressive episode who were treated with antidepressants in a naturalistic setting. Phenotypes were response, remission and treatment-resistant depression. Logistic regression including appropriate covariates was performed. Genes associated with outcomes were investigated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) genome-wide study (n=1861) as both individual genes and through a pathway analysis (Reactome and String databases). Gene-based analysis suggested CHL1 rs4003413, GAP43 rs283393 and rs9860828, ITGB3 rs3809865 as the top candidates due to their replication across the largest original sample and the STAR*D cohort. GAP43 molecular pathway was associated with both response and remission in the STAR*D, with ELAVL4 representing the gene with the highest percentage of single nucleotide polymorphisms (SNPs) associated with outcomes. Other promising genes emerging from the pathway analysis were ITGB1 and NRP1. The present study was the first to analyze cell adhesion genes and their molecular pathways in antidepressant response. Genes and biomarkers involved in neuronal adhesion should be considered by further studies aimed to identify predictors of antidepressant response.

PPP3CC gene: a putative modulator of antidepressant response through the B-cell receptor signaling pathway.

Antidepressant pharmacogenetics represents a stimulating, but often discouraging field. The present study proposes a combination of several methodologies across three independent samples. Genes belonging to monoamine, neuroplasticity, circadian rhythm and transcription factor pathways were investigated in two samples (n=369 and 88) with diagnosis of major depression who were treated with antidepressants. Phenotypes were response, remission and treatment-resistant depression. Logistic regression including appropriate covariates was performed. Genes associated with outcomes were investigated in the STAR*D (Sequenced Treatment Alternatives to Relieve Depression) genome-wide study (n=1861). Top genes were further studied through a pathway analysis. In both original samples, markers associated with outcomes were concentrated in the PPP3CC gene. Other interesting findings were particularly in the HTR2A gene in one original sample and the STAR*D. The B-cell receptor signaling pathway proved to be the putative mediator of PPP3CC's effect on antidepressant response (P=0.03). Among innovative candidates, PPP3CC, involved in the regulation of immune system and synaptic plasticity, seems promising for further investigation.

Physical co-morbidity among treatment resistant vs. treatment responsive patients with major depressive disorder.

Co-morbid physical illness has been suggested to play an important role among the factors contributing to treatment resistance in patients with major depressive disorder. In the current study we compared the rate of physical co-morbidity, defined by ICD-10, among a large multicenter sample of 702 patients with major depressive disorder. A total of 356 of the participants were defined as treatment resistant depression (TRD) patients-having failed two or more adequate antidepressant trials. No significant difference was found between TRD and non-TRD participants in the prevalence of any ICD-10 category. This finding suggests that although physical conditions such as diabetes, thyroid dysfunction, hypertension, ischemic heart disease, and peptic diseases are often accompanied by co-morbid MDD, they do not necessarily have an impact on the course of MDD or the likelihood to respond to treatment. Marginally higher rates of co-morbid breast cancer, migraine and glaucoma were found among TRD participants. Possible explanations for these findings and their possible relation to TRD are discussed.

A pilot study of the "Continuation of Care" model in "revolving-door" patients.

PURPOSE: The efficiency of continuation of care (COC) treatment by inpatient caregivers as compared to treatment administered by outpatient services for "revolving door" psychiatric patients was tested in this study. Number and days of hospitalization were examined. METHOD: All patients who were hospitalized three times or more during the past 12 months were offered continuing follow-up in the ward, by the same staff, instead of being referred to the outpatient department. Information on number and length of hospitalizations before and after initiation of this care model was retrieved from the hospital computerized database. RESULTS: Of the 36 patients meeting the criteria, 35 patients agreed to participate. The number of hospitalizations in the 18 months following the index hospitalization was 1.79±3.51 as compared to 4.67±1.79 before the index hospitalization (p=0.0002), and the number of days of hospitalization 18 months after was 24±41.65 as compared to 119.71±69.31 before (p<0.0001). CONCLUSION: COC via inpatient follow-up significantly reduces the number and length of hospitalizations in "revolving door" psychiatric patients as compared to the traditional system of follow-up in an outpatient clinic.

The impact of COMT gene polymorphisms on suicidality in treatment resistant major depressive disorder--a European multicenter study.

Many association studies have reported associations between the catechol-O-methyltransferase (COMT) gene and psychiatric disorders including major depression (MDD). The COMT gene has further been associated with suicidal behaviour, as well as with treatment response, although with conflicting results. In the present study, we further elucidate the impact of COMT in treatment response in MDD patients with suicide risk and/or a personal history of suicide attempts. Two hundred fifty MDD patients were collected in the context of a European multicentre resistant depression study and treated with antidepressants at adequate doses for at least 4 weeks. Suicidality was assessed using Mini International Neuropsychiatric Interview (MINI) and the Hamilton Rating Scale for Depression (HAM-D). Treatment response was defined as HAM-D ≤ 17 and remission as HAM-D ≤ 7 after 4 weeks of treatment with antidepressants at adequate dose. Genotyping was performed for seven SNPs (rs4680, rs2075507, rs737865, rs6269, rs4633, rs4818 and rs165599) within the COMT gene. With regard to suicide risk and personal history of suicide attempts, neither single marker nor haplotypic association was found with any SNP after multiple testing correction. In non-responders, we found significant single marker and haplotypic association with suicide risk, but not in responders. The same holds true for both remitters and non-remitters, and when testing for association with a personal history of suicide attempts and treatment response phenotypes. In conclusion, we found significant association of COMT SNPs with suicide risk in MDD patients not responding to antidepressant treatment. Larger well-defined cohorts will be required to dissect this further.