Clinical characteristics and treatment outcomes of patients with major depressive disorder and comorbid anxiety disorders - results from a European multicenter study

This naturalistic European multicenter study aimed to elucidate the association between major depressive disorder (MDD) and comorbid anxiety disorders. Demographic and clinical information of 1346 MDD patients were compared between those with and without concurrent anxiety disorders. The association between explanatory variables and the presence of comorbid anxiety disorders was examined using binary logistic regression analyses. 286 (21.2%) of the participants exhibited comorbid anxiety disorders, 10.8% generalized anxiety disorder (GAD), 8.3% panic disorder, 8.1% agoraphobia, and 3.3% social phobia. MDD patients with comorbid anxiety disorders were characterized by younger age (social phobia), outpatient status (agoraphobia), suicide risk (any anxiety disorder, panic disorder, agoraphobia, social phobia), higher depressive symptom severity (GAD), polypsychopharmacy (panic disorder, agoraphobia), and a higher proportion receiving augmentation treatment with benzodiazepines (any anxiety disorder, GAD, panic disorder, agoraphobia, social phobia) and pregabalin (any anxiety disorder, GAD, panic disorder). The results in terms of treatment response were conflicting (better response for panic disorder and poorer for GAD). The logistic regression analyses revealed younger age (any anxiety disorder, social phobia), outpatient status (agoraphobia), suicide risk (agoraphobia), severe depressive symptoms (any anxiety disorder, GAD, social phobia), poorer treatment response (GAD), and increased administration of benzodiazepines (any anxiety disorder, agoraphobia, social phobia) and pregabalin (any anxiety disorder, GAD, panic disorder) to be associated with comorbid anxiety disorders. Our findings suggest that the various anxiety disorders subtypes display divergent clinical characteristics and are associated with different variables. Especially comorbid GAD appears to be characterized by high symptom severity and poor treatment response.

The impact of comorbid post-traumatic stress disorder in patients with major depressive disorder on clinical features, pharmacological treatment strategies, and treatment outcomes - Results from a cross-sectional European multicenter study

This international, multicenter, cross-sectional study comprising 1346 adult in- and outpatients with major depressive disorder (MDD) investigated the association between MDD as primary diagnosis and comorbid post-traumatic stress disorder (PTSD). In a cross-sectional data collection process, the presence of comorbid PTSD was determined by the Mini International Neuropsychiatric Interview (MINI) and the patients' socio-demographic, clinical, psychopharmacological, and response information were obtained. Clinical features between MDD with and without concurrent PTSD were compared using descriptive statistics, analyses of covariance (ANCOVA), and binary logistic regression analyses. 1.49% of the MDD patients suffered from comorbid PTSD. Significantly more MDD + comorbid PTSD patients exhibited atypical features, comorbid anxiety disorders (any comorbid anxiety disorder, panic disorder, agoraphobia, and social phobia), comorbid bulimia nervosa, current suicide risk, and augmentation treatment with low-dose antipsychotic drugs. In the binary logistic regression analyses, the presence of atypical features (odds ratio (OR) = 4.49, 95%CI:1.01-20.12; p≤.05), any comorbid anxiety disorder (OR = 3.89, 95%CI:1.60-9.44; p = .003), comorbid panic disorder (OR = 6.45, 95%CI:2.52-16.51; p = .001), comorbid agoraphobia (OR = 6.51, 95%CI:2.54-16.68; p≤.001), comorbid social phobia (OR = 6.16, 95%CI:1.71-22.17; p≤.001), comorbid bulimia nervosa (OR = 10.39, 95%CI:1.21-88.64; p = .03), current suicide risk (OR = 3.58, 95%CI:1.30-9.91; p = .01), and augmentation with low-potency antipsychotics (OR = 6.66, 95%CI:2.50-17.77; p<.001) were associated with concurrent PTSD in predominant MDD. Major findings of this study were (1.) the much lower prevalence rate of comorbid PTSD in predominant MDD compared to the reverse prevalence rates of concurrent MDD in primary PTSD, (2.) the high association to comorbid anxiety disorders, and (3.) the increased suicide risk due to concurrent PTSD.

The Impact of BDNF Polymorphisms on Suicidality in Treatment-Resistant Major Depressive Disorder: A European Multicenter Study

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.

Prescribing patterns of psychiatric drugs in major depressive disorder – Findings from a large European multicenter, cross-sectional study

Introduction

The multicenter, cross-sectional survey summarizes the current prescription patterns of psychopharmacological medications in patients with major depressive disorder (MDD) treated in European university psychiatric centers.

Methods

The study included a total of 1181 MDD patients who were recruited in 9 academic sites across 8 European countries. Socio-demographic, clinical, and psychopharmacological characteristics were collected within a detailed clinical interview and the current depressive symptom severity was measured by the Montgomery and Åsberg Depression Rating Scale (MADRS). Symptom reduction during the present MDD episode was analyzed by calculating retrospective MADRS scores. Descriptive statistics, analyses of variance (ANOVAs), and Spearman correlation analyses were performed to examine the impact of various features on the applied pharmacological strategies.

Results

Regarding first-line antidepressant medication, the most frequently prescribed drug classes were selective serotonin reuptake inhibitors (SSRIs) (53.4%), serotonin-norepinephrine reuptake inhibitors (SNRIs) (23.6%), noradrenergic and specific serotonergic antidepressants (NaSSAs) (8.2%), tricyclic antidepressants (TCA) (5.1%), and the melatonergic antidepressant agomelatine (5.0%). The most commonly used individual antidepressants were escitalopram (18.4%), venlafaxine (15.2%), sertraline (12.9%), paroxetine (9.1%), mirtazapine (8.2%), duloxetine (7.0%), and fluoxetine (6.5%). Among the patients, 59.4% were treated with polypsychopharmaceutical medications (mean: 2 drugs) and for the number of individual drugs, we found a significant correlation with the present MADRS total score and the MADRS total score change during the current depressive episode.

Conclusion

Consistent with surveys investigating primarily municipal psychiatric treatment centers, we could replicate the observation that SSRIs are the most commonly used antidepressants in MDD for the first time for European university centers.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Consensus paper of the WFSBP Task Force on Genetics: Genetics, epigenetics and gene expression markers of major depressive disorder and antidepressant response

Major depressive disorder (MDD) is a heritable disease with a heavy personal and socio-economic burden. Antidepressants of different classes are prescribed to treat MDD, but reliable and reproducible markers of efficacy are not available for clinical use. Further complicating treatment, the diagnosis of MDD is not guided by objective criteria, resulting in the risk of under- or overtreatment. A number of markers of MDD and antidepressant response have been investigated at the genetic, epigenetic, gene expression and protein levels. Polymorphisms in genes involved in antidepressant metabolism (cytochrome P450 isoenzymes), antidepressant transport (ABCB1), glucocorticoid signalling (FKBP5) and serotonin neurotransmission (SLC6A4 and HTR2A) were among those included in the first pharmacogenetic assays that have been tested for clinical applicability. The results of these investigations were encouraging when examining patient-outcome improvement. Furthermore, a nine-serum biomarker panel (including BDNF, cortisol and soluble TNF-α receptor type II) showed good sensitivity and specificity in differentiating between MDD and healthy controls. These first diagnostic and response-predictive tests for MDD provided a source of optimism for future clinical applications. However, such findings should be considered very carefully because their benefit/cost ratio and clinical indications were not clearly demonstrated. Future tests may include combinations of different types of biomarkers and be specific for MDD subtypes or pathological dimensions.

A New Prediction Model for Evaluating Treatment-Resistant Depression

OBJECTIVE

Despite a broad arsenal of antidepressants, about a third of patients suffering from major depressive disorder (MDD) do not respond sufficiently to adequate treatment. Using the data pool of the Group for the Study of Resistant Depression and machine learning, we intended to draw new insights featuring 48 clinical, sociodemographic, and psychosocial predictors for treatment outcome.

METHOD

Patients were enrolled starting from January 2000 and diagnosed according to DSM-IV. Treatment-resistant depression (TRD) was defined by a 17-item Hamilton Depression Rating Scale (HDRS) score ≥ 17 after at least 2 antidepressant trials of adequate dosage and length. Remission was defined by an HDRS score < 8. Stepwise predictor reduction using randomForest was performed to find the optimal number for classification of treatment outcome. After importance values were generated, prediction for remission and resistance was performed in a training sample of 400 patients. For prediction, we used a set of 80 patients not featured in the training sample and computed receiver operating characteristics.

RESULTS

The most useful predictors for treatment outcome were the timespan between first and last depressive episode, age at first antidepressant treatment, response to first antidepressant treatment, severity, suicidality, melancholia, number of lifetime depressive episodes, patients' admittance type, education, occupation, and comorbid diabetes, panic, and thyroid disorder. While single predictors could not reach a prediction accuracy much different from random guessing, by combining all predictors, we could detect resistance with an accuracy of 0.737 and remission with an accuracy of 0.850. Consequently, 65.5% of predictions for TRD and 77.7% for remission can be expected to be accurate.

CONCLUSIONS

Using machine learning algorithms, we could demonstrate success rates of 0.737 for predicting TRD and 0.850 for predicting remission, surpassing predictive capabilities of clinicians. Our results strengthen data mining and suggest the benefit of focus on interaction-based statistics. Considering that all predictors can easily be obtained in a clinical setting, we hope that our model can be tested by other research groups.

Pharmacological treatment strategies in unipolar depression in European tertiary psychiatric treatment centers - A pharmacoepidemiological cross-sectional multicenter study

This multicenter, cross-sectional study with retrospective assessment of treatment response evaluated the current prescription trends and pharmacological treatment strategies applied in European university/academic psychiatric centers in unipolar depression. Altogether, 1181 adult in- and outpatients with major depressive disorder (MDD) were enrolled in 9 academic sites in 8 European countries. Socio-demographic, clinical, and medication information were retrieved and the present symptom severity was assessed by the Montgomery and Åsberg Depression Rating Scale (MADRS). The symptom improvement during the current MDD episode was covered by retrospective MADRS measurements. Beyond descriptive statistics, analyses of variance (ANOVA) and Spearman correlation analyses were accomplished to determine the influence of symptom severity and treatment response on the prescription patterns. 53.4% of all MDD patients received a selective serotonin reuptake inhibitor (SSRI) and 23.6% a serotonin-norepinephrine reuptake inhibitor (SNRI) as first-line treatment. The majority of participants (59.4%) were treated with polypharmaceutical strategies (median: 2 psychiatric compounds per patient) and for the number of individual drugs we found a significant correlation with the current MADRS total score and the MADRS total score change during the present depressive episode. Benzodiazepines (33.2% of patients), antidepressants (29.0%), antipsychotics (24.2%), and mood stabilizers (10.1%) were the most frequently prescribed adjunctive agents. There were no significant differences between the different psychopharmacological classes used as augmentors in terms of symptom severity and treatment response. In summary, this international cross-sectional study revealed the widespread use of polypharmaceutical treatment strategies in European tertiary psychiatric treatment centers for the management of MDD.

High occupational level is associated with poor response to treatment of depression

Depression may be complicated by work-related stress and, in turn, depression is a leading cause of disability in workplaces. Though available effective treatments, only one third of patients reach full remission after a first treatment trial and nearly half of the patients are non-responders. Occupational level has been found to be a reliable predictor of health outcome in the general population. In the present study we tested the potential association of occupational level of those in work with response to treatment of depression in a large multinational sample. Major depressive disorder patients (n=654) stratified in three occupational levels (high, middle, low) were considered for the present study. Response to last treatment for current episode and treatment resistant depression, defined as non-response to 2 or more previous adequate treatment trials, were considered the outcome variables. Depressed patients from the high occupational level had a higher level of educational achievement. They showed a significantly poorer response to the last treatment with lower remission rates and more treatment resistance than the other occupational level groups. They were treated less with Serotonin Reuptake Inhibitors (SRIs). Potential confounding factors did not influence the main effect. The present findings indicate that those working at a high occupational level may be a risk factor for poor response to medication for depression and this has potential implications for clinicians and their patients, for future research, for employers and for public policy.

The impact of serotonin receptor 1A and 2A gene polymorphisms and interactions on suicide attempt and suicide risk in depressed patients with insufficient response to treatment--a European multicentre study

So far, associations between serotonergic neurotransmission pathways and suicidality have been reported. The aim of our study was to investigate the role of genetic polymorphisms and gene-gene interactions of the 5-HTR1A and the 5-HTR2A gene on suicide risk and/or a personal history of suicide attempts. A total of 374 major depressive disorder patients, adequately treated with antidepressants for at least 4 weeks, were collected in the context of a European multicentre study on treatment-resistant depression. We assessed suicidality using the Mini International Neuropsychiatric Interview 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 adequate antidepressant treatment. The 5-HTR1A rs6295 (C-1019G) single nucleotide polymorphism (SNP) and the 5-HTR2A rs7997012, rs6313, rs643627 and rs17288723 SNPs were selected for genotyping. Using logistic regression analyses, no association (P<0.05) could be found between any SNP and neither suicide risk nor personal history of suicide attempts. Interactions between 5HTR1A rs6295 and 5HTR2A rs6313 in suicide risk, and 5HTR1A rs6295 and 5HTR2A rs643627 in a personal history of suicide attempts have been reported (P=0.027 and 0.036, respectively); however, the results did not survive multiple testing correction. In conclusion, our study shows no association between 5HTR1A or 5HTR2A gene polymorphisms and both current suicide risk and personal history of suicide attempts. In addition, epistatic effects of 5HTR1A and 5HTR2A genes on suicidal behaviour were not significant, although sample size limitations do not allow definitive conclusions.

Socio-demographic and clinical predictors of treatment resistant depression: A prospective European multicenter study

BACKGROUND

Few studies investigated socio-demographic and clinical predictors of non response and remission in treatment resistant depression (TRD) in the case of failure of more than two adequate antidepressant (AD) trial. The primary aim of this study was to investigate socio-demographic and clinical predictors of TRD defined as the lack of response to at least three adequate AD treatments, two of which prospectively evaluated. As secondary aims, we also investigated predictors of non response and remission to: (1) at least two adequate AD treatment (one of which prospectively assessed); (2) at least one adequate and retrospectively assessed AD treatment.

METHODS

In the context of a European multicenter project, 407 major depressive disorder (MDD) patients who failed to respond to a previous AD treatment were recruited for a 2 stage trial, firstly receiving venlafaxine and then escitalopram. MINI, HRSD, MADRS, UKU, CGI-S and CGI-I were administered.

RESULTS

Ninety eight subjects (27.61%) were considered as resistant to three AD treatments. Clinical predictors were: longer duration and higher severity of the current episode (p=0.004; ES=0.24; p=0.01; RR=1.41, respectively), outpatient status (p=0.04; RR=1.58), higher suicidal risk level (p=0.02; RR=1.49), higher rate of the first/second degree psychiatric antecedents (MDD and others) (p=0.04; RR=1.31, p=0.03; RR=1.32 respectively) and side effects during treatments (p=0.002; RR=2.82). Multivariate analyses underlined the association between TRD and the severity of the current episode (p=0.04). As for secondary outcomes, predicting factors were partially overlapping.

LIMITATIONS

The limited sample size and specific drugs used limit present findings.

CONCLUSION

Subjects with a high degree of resistance to AD treatments show specific features which may guide the clinicians to the choice of more appropriate therapies at baseline.

What to expect from a third step in treatment resistant depression: A prospective open study on escitalopram

OBJECTIVES

Only few studies investigated treatment strategies for treatment resistant depression (TRD). The objective of this multicentre study was to evaluate TRD patients who did not respond to at least two antidepressants.

METHODS

A total of 417 patients, who failed to respond to a previous retrospectively assessed antidepressant (AD1), were firstly included in a 6-week venlafaxine treatment (AD2); secondly, those who failed to respond were treated for further 6 weeks with escitalopram (AD3).

RESULTS

Out of 417 patients who had failed to respond to previous treatment (AD1), 334 completed treatment with venlafaxine to prospectively define TRD. In the intent to treat (ITT) population in the first phase of the trial (AD2), responders to venlafaxine were 151 (36.21%) out of which remitters were 83 (19.90%). After phase one, 170 non-responders, defined as TRD, were included in the second phase and 157 completed the course. Of the 170 ITT entering the second phase (AD3), responders to escitalopram were 71 (41.76%) out of which remitters were 39 (22.94%). After the third treatment, patients showed a dropout rate of 7.65% and a rate of presence of at least one serious adverse event of 19.18%.

CONCLUSIONS

Relevant rates of response and remission may be observed after a third line treatment in patients resistant to two previous treatments. A relevant limitation of this study was represented by the design: naturalistic, non-randomized, open-label, without a control sample and with unblinded raters.

Temperament and character profiles in bipolar I, bipolar II and major depressive disorder: Impact over illness course, comorbidity pattern and psychopathological features of depression

BACKGROUND

Studies comparing temperament and character traits between patients with mood disorders and healthy individuals have yielded variable results.

METHODS

The Temperament and Character Inventory (TCI) was administered to 101 bipolar I (BP-I), 96 bipolar II (BP-II), 123 major depressive disorder (MDD) patients, and 125 HS. A series of generalized linear models were performed in order to: (a) compare the TCI dimensions across groups; (b) test any effect of the TCI dimensions on clinical features of mood disorders; and (c) detect any association between TCI dimensions and the psychopathological features of a major depressive episode. Demographic and clinical variables were also included in the models as independent variables.

RESULTS

Higher Harm Avoidance was found in BP-II and MDD, but not in BP-I. Higher Self-Transcendence was found in BP-I. Our models also showed higher Self-Directedness in HS, either vs MDD or BP-II. No association was found between any TCI dimension and the severity of symptoms. Conversely, a positive association was found between Harm Avoidance and the overall burden of depressive episodes during lifetime.

LIMITATIONS

The cross-sectional design and the heterogeneity of the sample may be the main limitations of our study.

CONCLUSION

In general, our sample seems to support the view of a similar profile of temperament and character between MDD and BP-II, characterized by high Harm Avoidance and low Self-Directedness. In contrast, patients with BP-I only exhibit high Self-Transcendence, having a near-normal profile in terms of Harm Avoidance or Self-Directedness.

Familiality and SNP heritability of age at onset and episodicity in major depressive disorder

BACKGROUND

Strategies to dissect phenotypic and genetic heterogeneity of major depressive disorder (MDD) have mainly relied on subphenotypes, such as age at onset (AAO) and recurrence/episodicity. Yet, evidence on whether these subphenotypes are familial or heritable is scarce. The aims of this study are to investigate the familiality of AAO and episode frequency in MDD and to assess the proportion of their variance explained by common single nucleotide polymorphisms (SNP heritability).

METHOD

For investigating familiality, we used 691 families with 2-5 full siblings with recurrent MDD from the DeNt study. We fitted (square root) AAO and episode count in a linear and a negative binomial mixed model, respectively, with family as random effect and adjusting for sex, age and center. The strength of familiality was assessed with intraclass correlation coefficients (ICC). For estimating SNP heritabilities, we used 3468 unrelated MDD cases from the RADIANT and GSK Munich studies. After similarly adjusting for covariates, derived residuals were used with the GREML method in GCTA (genome-wide complex trait analysis) software.

RESULTS

Significant familial clustering was found for both AAO (ICC = 0.28) and episodicity (ICC = 0.07). We calculated from respective ICC estimates the maximal additive heritability of AAO (0.56) and episodicity (0.15). SNP heritability of AAO was 0.17 (p = 0.04); analysis was underpowered for calculating SNP heritability of episodicity.

CONCLUSIONS

AAO and episodicity aggregate in families to a moderate and small degree, respectively. AAO is under stronger additive genetic control than episodicity. Larger samples are needed to calculate the SNP heritability of episodicity. The described statistical framework could be useful in future analyses.

Dimensions of Delusions in Major Depression: Socio-demographic and Clinical Correlates in an Unipolar-Bipolar Sample

Objective

The present study aims at exploring associations between a continuous measure of distorted thought contents and a set of demographic and clinical features in a sample of unipolar/bipolar depressed patients.

Methods

Our sample included 1,833 depressed subjects. Severity of mood symptoms was assessed by the 21 items Hamilton Depression Rating Scale (HAM-D). The continuous outcome measure was represented by a delusion (DEL) factor, extracted from HAM-D items and including items: 2 (“Feelings of guilt”), 15 (“Hypochondriasis”), and 20 (“Paranoid symptoms”). Each socio-demographic and clinical variable was tested by a generalized linear model test, having depressive severity (HAM-D score–DEL score) as the covariate.

Results

A family history of major depressive disorder (MDD; p=0.0006), a diagnosis of bipolar disorder, type I ( p=0.0003), a comorbid general anxiety disorder (p<0.0001), and a higher number of manic episodes during lifetime (p<0.0001), were all associated to higher DEL scores. Conversely, an older age at onset (p<0.0001) and a longer duration of hospitalization for depression over lifetime (p=0.0003) had a negative impact over DEL scores. On secondary analyses, only the presence of psychotic features (p<0.0001) and depressive severity (p<0.0001) were found to be independently associated to higher DEL scores.

Conclusion

The retrospective design and a non validated continuous measure for distorted thought contents were the main limitations of our study. Excluding the presence of psychotic features and depressive severity, no socio-demographic or clinical variable was found to be associated to our continuous measure of distorted thinking in depression.

Genetic factors and lithium response in manic-depressive illness

The relationship between success in lithium treatment and the presence of affective illness in the families of manic-depressive patients was investigated in a double-blind study of lithium prophylaxis. Of a total of 89 outpatients who were followed for periods of up to 48 months, 43 were randomly assigned to lithium and 46 to placebo. 56% of the lithium-treated patients remained asymptomatic, as compared to 28% of the placebo patients. Of the 24 successfully treated lithium cases, 16 (66%) had at least one first-degree relative with bipolar illness, while only 4 of the 19 lithium failures (21%) had a first-degree relative with bipolar illness. No relationship was found between response to lithium and the presence of unipolar illness in the patients' families.

A genetic study of plasma dopamine beta-hydroxylase in affective disorder

Plasma DBH activity was studied in patients with affective illness (unipolar or bipolar) and in their families. We found diagnosis, mood state or lithium treatment did not modify plasma DBH activity. In family studies we found same-sex siblings to show significant correlations for plasma DBH activity regardless of diagnosis. Monozygotic twins had almost identical DBH activities; 4 pairs of monozygotic twins discordant for affective illness were concordant for DHB activity. The heritability estimate for plasma DBH activity is greater than 0.90, indicating a strong genetic influence. These studies reveal that affective illness does not modify plasma DBH activity and that familial factors play an important role in controlling plasma DBH activity.

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.

The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression

For over a decade, the European Group for the Study of Resistant Depression (GSRD) has examined single nucleotide polymorphisms (SNP) and clinical parameters in regard to treatment outcome. However, an interaction based model combining these factors has not been established yet. Regarding the low effect of individual SNPs, a model investigating the interactive role of SNPs and clinical variables in treatment-resistant depression (TRD) seems auspicious. Thus 225 patients featured in previous work of the GSRD were enrolled in this investigation. According to data availability and previous positive results, 12 SNPs in HTR2A, COMT, ST8SIA2, PPP3CC and BDNF as well as 8 clinical variables featured in other GSRD studies were chosen for this investigation. Random forests algorithm were used for variable shrinkage and k-means clustering for surfacing variable characteristics determining treatment outcome. Using these machine learning and clustering algorithms, we detected a set of 3 SNPs and a clinical variable that was significantly associated with treatment response. About 62% of patients exhibiting the allelic combination of GG-GG-TT for rs6265, rs7430 and rs6313 of the BDNF, PPP3CC and HTR2A genes, respectively, and without melancholia showed a HAM-D decline under 17 compared to about 34% of the whole study sample. Our random forests prediction model for treatment outcome showed that combining clinical and genetic variables gradually increased the prediction performance recognizing correctly 25% of responders using all 4 factors. Thus, we could confirm our previous findings and furthermore show the strength of an interaction-based model combining statistical algorithms in identifying and operating treatment predictors.

Mixed, melancholic, and anxious features in depression: a cross-sectional study of sociodemographic and clinical correlates

BACKGROUND

Major depression (MD) is currently viewed as a heterogeneous condition, characterized by different psychopathological dimensions.

METHODS

Our sample was composed of 1,289 nonpsychotic bipolar/unipolar depressed patients. Participants were divided into mixed (MXD), melancholic (MEL), and anxious (ANX) depressed, according to a hierarchical functional model. Sociodemographic and clinical variables were compared across depressive subtypes by χ2 test and analysis of variance. The Young Mania Rating Scale (YMRS) and 2 subscales (melancholic [MEL-S] and psychic-somatic anxiety [PSOM-ANX]) from the Hamilton Depression Rating Scale also served as continuous outcome measures.

RESULTS

MXD patients more frequently had bipolar I disorder (BD I), younger age of onset, and a higher familial load for mood disorders. MEL and ANX patients were more frequently diagnosed with major depressive disorder and reported a higher suicide risk. YMRS scores in depression was associated with BD I diagnosis (P < .0001) and manic polarity of the last episode (P < .0001), while a depressive polarity of the last episode (P < .0001) was associated with higher MEL-S score. No specific predictor was associated with PSOM-ANX score.

CONCLUSIONS

Overall, our findings suggest that mixed depressive features are associated with significant hallmarks of bipolarity, and melancholic features may be influenced by previous depressive polarity. The symptom domain of anxiety appears to have no specific predictor.

Association study of CREB1 polymorphisms and suicidality in MDD: results from a European multicenter study on treatment resistant depression

PURPOSE

Mood disorders are present in more than 90% of suicides, and a genetic vulnerability to suicidality is well established. Numerous lines of evidence relate the transcription factor Cyclic adenosine monophosphate Response Element Binding protein (CREB1) to suicide, and to the aetiology of major depressive disorder (MDD). Our aim was to test for association between CREB1 single nucleotide polymorphisms (SNPs) and both suicide risk (SR) and a personal history of suicide attempt (SA) in MDD patients.

MATERIALS AND METHODS

A sample of 250 MDD patients collected in the context of a European multicenter resistant depression study and treated with antidepressants over a period of at least 4 weeks were genotyped for five CREB1 SNPs (rs2709376, rs2253206, rs7569963, rs7594560, and rs4675690). To assess suicidality, the Mini International Neuropsychiatric Interview (MINI) and the Hamilton Rating Scale for Depression (HAM-D) were applied.

RESULTS

Neither single-marker nor haplotypic association were found between SR and/or a personal history of SA with any of the investigated SNPs after multiple testing correction. For females, an association between rs2709376 and a personal history of SA was found (p = 0.016), however not resisting multiple testing correction.

CONCLUSIONS

Although we found significant CREB1 single marker association with a personal history of SA in female MDD patients, this finding could not be confirmed in haplotypic analyses after multiple testing correction. Larger well-defined cohorts are required to confirm or refute a possible association of CREB1 and SA in female MDD patients.

Family history of major depression and residual symptoms in responder and non-responder depressed patients

BACKGROUND

Little is known about the extent to which a family history of major depression (MD) affects residual depressive symptoms in responder and non-responder patients suffering from MD.

METHODS

Nine hundred eighty-six patients with MD were recruited within the context of a large multicenter project. Information about the family history of MD, as well as about total depressive symptoms and specific depressive clusters, was collected and analyzed.

RESULTS

No significant difference was observed in overall depressive symptoms between patients with and those without a family history of MD. However, non-responder patients with a family history of MD showed significantly higher scores in core symptoms as compared with responder patients without a family history of MD.

CONCLUSIONS

Non-responder MD patients with a positive family history of MD could represent a slightly different sub-group of MD patients with more consistent core depressive symptoms as compared with responder patients without a family history of MD. However, taking into account the retrospective assessment of data, the use of positive or negative family history as a dichotomous indicator of familial loading and the cross-sectional design of the present study, further research is needed to draw more definitive conclusions.

Social adjustment among treatment responder patients with mood disorders

BACKGROUND

Patients with major depression (MD) show reduced social adjustment when compared with healthy controls. However, even among treatment responders, significant differences in social adjustment occur. The main aim of the present work is to study several socio-demographic and clinical variables possibly influencing social adjustment in MD patients who responded to treatment.

METHODS

Two hundred and eleven MD patients experiencing a depressive episode who responded to their current treatment were recruited within the context of a large European multicentre project. Our primary outcome measure was the association between 19 socio-demographic and clinical variables and total social adjustment scores, as measured with the Social Adjustment Scale (SAS). Secondary outcome measures included the associations between the same variables and SAS sub-scales, and the associations between these variables and self-esteem, as measured with the Rosenberg Self-Esteem Scale.

RESULTS

A co-morbidity with anxiety disorders and the severity of residual depression symptoms were the strongest independent factors associated with poorer social adjustment, in terms of total and most sub-areas' SAS scores. Other variables associated with total and sub-areas' SAS scores were identified as well, although some variations across different areas were observed.

LIMITATIONS

The cross-sectional design, the retrospective assessment of data and the lack of a placebo control group.

CONCLUSIONS

Our results confirm that a co-morbidity with anxiety disorders and higher residual depression symptoms could reduce social adjustment among responder MD patients. Further longitudinal studies are needed to confirm our results.

Side effects associated with psychotropic medications in patients with bipolar disorder: evidence from two independent samples

Available evidence concerning the side effects experienced by bipolar disorder (BD) patients under naturalistic conditions has been poorly investigated. The aim of this study was therefore to investigate side effects related to major psychotropic drugs in two independent samples of BD patients naturalistically treated with mood stabilizers, antidepressants, antipsychotics and/or anxiolytics. Overall, 3654 patients from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) sample and 282 patients from the Clinical Outcome and Psycho-Education for Bipolar Disorder (COPE-BD) sample were included. The primary outcome measure was the influence of each class of psychotropic drugs under investigation on the emergence of any side effect, as measured with the monitoring form in the STEP-BD study and the Udvalg for Kliniske Undersøgelser Side Effect Rating Scale in the COPE-BD study. Secondary outcome measures included the effects of such drugs on psychic, neurologic, autonomic and other side effects. Mood stabilizers and antipsychotics were associated with high rates of side effects in both samples. Furthermore, antipsychotics were specifically associated with psychic side effects, whereas mood stabilizers were specifically associated with neurologic side effects. Our results largely confirm in a naturalistic setting results previously observed in randomized controlled trials focusing on BD patients.