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Background: Numerous studies have reported associations between the brain-derived neurotrophic factor (BDNF) gene and psychiatric disorders, including suicidal behavior, although with conflicting results. Methods: A total of 250 major depressive disorder patients were collected in the context of a European multicenter resistant depression study and treated with antidepressants at adequate doses for at least 4 weeks. Suicidality was assessed using the Mini International Neuropsychiatric Interview and Hamilton Rating Scale for Depression, and treatment response using the HAM-D. Genotyping was performed for the functional Val66Met polymorphism (rs6265) and 7 additional tagging single nucleotide polymorphisms within the BDNF gene. Results: Neither BDNF single markers nor haplotypes were found to be associated with suicide risk and lifetime history of suicide attempts. Gender-specific analyses revealed nonsignificant single marker (rs908867) and haplotypic association with suicide risk in males after multiple testing correction. Analyzing treatment response phenotypes, the functional Val66Met polymorphism as well as rs10501087 showed significant genotypic and haplotypic association with suicide risk in remitters (n = 34, 13.6%). Conclusions: Considering the sample size, the present findings need to be replicated in larger samples to confirm or refute a role of BDNF in the investigated suicidal behavior phenotypes

The extent to which a family history of mood disorders and suicide could impact on clinical features of patients suffering from major depression (MD) and bipolar disorder (BD) has received relatively little attention so far. The aim of the present work is, therefore, to assess the clinical implications of the presence of at least one first- and/or second-degree relative with a history of MD, BD and suicide in a large sample of patients with MD or BD. One thousand one hundred and fifty-seven subjects with MD and 686 subjects with BD were recruited within the context of two large projects. The impact of a family history of MD, BD, and suicide-considered both separately and together-on clinical and socio-demographic variables was investigated. A family history of MD, BD, and suicide was more common in BD patients than in MD patients. A positive family history of mood disorders and/or suicide as well as a positive family history of MD and BD separately considered, but not a positive history of suicide alone, were significantly associated with a comorbidity with several anxiety disorders and inversely associated with age of onset. The clinical implications as well as the limitations of our findings are discussed

Recently published data have reported associations between cytochrome P450 metabolizer status and suicidality. The aim of our study was to investigate the role of genetic polymorphisms of the cytochrome P450 genes on suicide risk and/or a personal history of suicide attempts. Two hundred forty-three major depressive disorder 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 the Mini International Neuropsychiatric Interview and the Hamilton Rating Scale for Depression (HAM-D). Treatment response was defined as HAM-D a parts per thousand currency sign 17 and remission as HAM-D a parts per thousand currency sign 7 after 4 weeks of treatment with antidepressants at adequate dose. Genotyping was performed for all relevant variations of the CYP1A2 gene (*1A, *1F, *1C, *1 J, *1 K), the CYP2C9 gene (*2, *3), the CYP2C19 gene (*2, *17) and the CYP2D6 gene (*3, *4, *5, *6, *9, *19, *XN). No association between both suicide risk and personal history of suicide attempts, and the above mentioned metabolic profiles were found after multiple testing corrections. In conclusion, the investigated cytochrome gene polymorphisms do not seem to be associated with suicide risk and/or a personal history of suicide attempts, though methodological and sample size limitations do not allow definitive conclusions.

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. (C) 2011 Elsevier B.V. and ECNP. All rights reserved.

Objectives: In this article we aimed to: (1) review literature concerning the clinical and psychopathologic characteristics of Bipolar (BP) depression; (2) analyze an independent sample of depressed patients to identify any demographic and/or clinical feature that may help in differentiating mood disorder subtypes, with special attention to potential markers of bipolarity. Methods: A sample of 291 depressed subjects, including BP -I (n = 104), BP (n = 64), and unipolar (UP) subjects with (n = 53) and without (n = 70) BP family history (BPFH), was examined to evidence potential differences in clinical presentation and to validate literature-derived markers of bipolarity. Demographic and clinical variables and, also, single items from the Hamilton Depression Rating Scale (HDRS), the Montgomery-Asberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS) were compared among groups. Results: UP subjects had an older age at onset of mood symptoms. A higher number of major depressive episodes and a higher incidence of lifetime psychotic features were found in BP subjects. Items expressing depressed mood, depressive anhedonia, pessimistic thoughts, and neurovegetative symptoms of depression scored higher in UP, whereas depersonalization and paranoid symptoms' scores were higher in BP. When compared with UP, BP I had a significantly higher incidence of intradepressive hypomanic symptoms. Bipolar family history was found to be the strongest predictor of bipolarity in depression. Conclusions: Overall, our findings confirm most of the classical signs of bipolarity in depression and support the view that some features, such as BPFH, together with some specific symptoms may help in detecting depressed subjects at higher risk for BP disorder. (C) 2012 Elsevier Inc. All rights reserved.

Inflammatory pathways play a crucial role in the pathomechanisms of antidepressant efficacy. The aim of this study was to investigate whether a set of single nucleotide polymorphisms (SNPs) within cyclooxygenase-2 (COX-2, rs5275 and rs20417) and oxytocin receptor (OXTR, rs53576 and rs2254298) genes was associated with antidepressant treatment resistance, response or remission. Three hundred seventy-two patients were recruited in the context of a multicenter resistant depression study. They were genotyped for COX-2 and OXTR SNPs. Treatment resistance (according to two different definitions), response and remission were recorded. We did not observe any association between the genotypes or alleles of the selected SNPs within COX-2 and OXTR genes and treatment resistance, response and remission in the whole sample. Our results are consistent with those of some studies but not with those of other ones. Indeed, several factors could be involved in the discrepancy observed across studies. They include sample size, environmental factors, differences in ethnicity, different study designs, and different definitions of treatment resistance. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

In the present study, we aimed to confirm the previous finding of an association between GRIK4 and GNB3 variants (rs195478 and rs5443) and remission and treatment resistance in major depression, using a multicenter sample of 223 patients. We did not find any supporting evidence for such associations. These conflicting data may result from difficulties in the replication of candidate gene association studies. Copyright (C) 2012 S. Karger AG, Basel

Background: The nosological and clinical implications of psychotic features in the course of mood disorders have been widely debated. Currently, no specification exists for defining a subgroup of lifetime Psychotic Mood Disorder (PMD) patients. Methods: A total of 2178 patients were examined, including subjects with Bipolar Disorder (BP) type I (n = 519) and II (n = 207) and Major Depressive Disorder (n = 1452). Patients were divided between PMD (n = 645) and non-psychotic Mood Disorders (MD) (n = 1533) by the lifetime presence of at least one mood episode with psychotic features. Subjects having a depressive episode at the time of assessment were also examined: HAM-D and YMRS scores were compared between MD and PMD subjects, both with and without current psychotic features. Results: A diagnosis of BP-I, a higher familial load for BP, a higher number of mood episodes lifetime, and a higher prevalence of OCD and somatic comorbidities were all associated to PMD. A diagnosis of BP (OR = 4.48) was the only significant predictor for psychosis. PMD with non-psychotic depression were apparently less severe than MD patients and had a lower rate of "non-responders" to AD treatment. Sub-threshold manic symptoms and suicidal risk were also more pronounced among PMD. Limitations: The lack of information about number and polarity of previous psychotic mood episodes may be the major limitations of our study. Conclusions: BP diagnosis is the most significant predictor for psychosis in mood disorders. Non-psychotic mood episodes in PMD patients may be characterized by a distinctive symptom profile and, possibly, a different response to treatment. © 2011 Elsevier B.V. All rights reserved.

Our study aims at replicating our previous finding of an association between COMT rs4680 G/A polymorphism and early onset major depression (MD). We included 462 MD, 147 bipolar disorders (BD) subjects and 295 healthy controls. We could partially replicate previous findings. In particular, rs4680 GG + AG genotypes were more represented in the subgroup of early onset MD patients (p=0.04). Additionally, we observed an association between rs737865 alleles and early onset MD (p=0.04). Rs4680 genotype was associated with early onset BD as well (p=0.01). In conclusion, we partially replicated our previous findings confirming a possible influence of COMT variants in MD and BD, particularly in early onset subjects, though not with the same risk genotypes.

Objectives. Evidence in favour of switching between selective serotonin reuptake inhibitor (SSRI) and tricyclic (TCA) antidepressants in treatment resistant depression has been tested in a few studies only, consequently a prospective study was undertaken to evaluate the impact of switching strategies. Methods. One hundred eighty-nine patients who failed to respond to a previous antidepressant were randomised to four arms: firstly they received citalopram or desipramine for a 4-week period; secondly, those who failed to respond were treated for a further 4-week period with the same antidepressant (citalopram-citalopram and desipramine-desipramine arms) or switched to the alternate one (citalopram-desipramine and desipramine-citalopram arms). Results. There was no difference in the first 4-week phase between patients receiving citalopram versus desipramine in Hamilton Rating Scale for Depression (HRSD), Montgomery--Asberg Depression Rating Scale (MADRS), and Clinical Global Impression (CGI) scores. In the second 4-week phase remitter rates were higher among non-switched patients (P == 0.04). Moreover, considering HRSD and MADRS, switched patients reported significantly higher scores (P < a parts per thousand currency sign 0.02 for both scales at each time-point). Conclusions. This study supports the thesis that switching from an SSRI to a TCA (and vice versa) in non-responders to a 4-week trial of an SSRI/TCA is not associated with improved response. The result goes in the opposite direction to that predicted by current guidelines.

In the present study, aimed at investigating whether a set of single nucleotide polymorphisms (SNPs) within PTGS2 gene (rs4648276, rs2066826 and rs689466) could be associated with antidepressant response, remission and treatment resistance in a sample of major depression patients, we did not find evidence supporting any of such associations. © 2010 Elsevier Ltd.

Objective: The management of treatment-resistant depression is a much debated issue. In particular, the evidence supporting the commonly suggested sequential use of antidepressants from 2 different pharmacological classes is weak.This retrospective study was undertaken to investigate whether there is a better response in nonresponders switched to a different class of antidepressants (across-class) compared with nonresponders switched to an antidepressant from the same class (within-class). Methods: Three hundred forty patients with primary major depressive disorder were recruited in the context of a European multicenter project. Subjects whose current depressive episode had failed to respond to a first antidepressant trial of adequate dose and duration were included. Results: There was no significant difference in response or remission rates between the across-class and within-class groups after controlling for possible confounders. Conclusions: In depressed nonresponders to a previous antidepressant treatment, switching to a different class of antidepressants was not associated with a better response or remission rate. © 2011 Lippincott Williams & Wilkins.

Background: The transcription factor Cyclic adenosine monophosphate Response Element Binding (CREB) protein has been repeatedly involved in the aetiology and pharmacotherapy of major depression (MD). The aim of this study was to investigate the potential association of a set of single nucleotide polymorphisms (SNPs) in CREB1 gene and both MD and response, remission and treatment resistance to antidepressants. Methods: One hundred-ninety MD patients collected in the context of a resistant depression study and treated with antidepressants for at least 4 weeks were genotyped for 5 CREB1 SNPs (rs2709376, rs2253206, rs7569963, rs7594560, and rs4675690). Response, remission and treatment resistance were recorded. Results: An allele of rs7569963 as well as rs2253206-rs7569963 A-A and rs7569963-rs4675690 A-C haplotypes were associated with the status of treatment resistance. Additionally, rs7569963 GG genotype was positively associated with remission. No further significant associations were observed. Limitations: Limitations of the present study include a relatively small sample size and the incomplete ascertainment of data which could influence the outcome. Conclusions: Our results preliminary suggest that some genetic polymorphisms in CREB1 could be associated to treatment resistance. Although such finding needs to be replicated in larger samples, it increases current knowledge about the genetic predictors of response to antidepressants that will probably lead to enhance treatment outcomes by addressing each individual to the most appropriate treatment strategy in the early stages of treatment. (C) 2010 Elsevier B.V. All rights reserved.

Cytochrome P450 genes are involved in the metabolism of antidepressants and could influence treatment response. The aim of this study was to investigate the role of allelic variations of the cytochrome P450 CYP1A2, CYP2C9, CYP2C19 and CYP2D6 genes in antidepressant treatment response and remission rates. Two hundred and seventy-eight patients affected by major depression, responders (N=81) and nonresponders (N=197) to at least one adequate antidepressant treatment, were recruited with a multicentre design for resistant depression and genotyped for all relevant variations. None of the considered metabolic profiles (e.g. poor, intermediate, extensive and ultrarapid metabolizers) was found to be associated with either response or remission rates. In conclusion, the investigated cytochrome genes do not seem to play a major role in antidepressant response in the present sample of depressive patients. Nevertheless, methodological and sample size limitations of this study do not allow definitive conclusions. Int Clin Psychopharmacol 24:250-256 (C) 2009 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.

Behavioral studies have shown that picture-plane inversion impacts face and object recognition differently, thereby suggesting face-specific processing mechanisms in the human brain. Here we used event-related potentials to investigate the time course of this behavioral inversion effect in both faces and novel objects. ERPs were recorded for 14 subjects presented with upright and inverted visual categories, including human faces and novel objects (Greebles). A N170 was obtained for all categories of stimuli, including Greebles. However, only inverted faces delayed and enhanced N170 (bilaterally). These observations indicate that the N170 is not specific to faces, as has been previously claimed. In addition, the amplitude difference between faces and objects does not reflect face-specific mechanisms since it can be smaller than between non-face object categories. There do exist some early differences in the time-course of categorization for faces and non-faces across inversion. This may be attributed either to stimulus category per se (e.g. face-specific mechanisms) or to differences in the level of expertise between these categories.