In a subset of patients with mental disorders, such as depression, low-grade inflammation and altered immune marker concentrations are observed. However, these immune alterations are often assessed by only one data type and small marker panels. Here, we used a transdiagnostic approach and combined data from two cohorts to define subgroups of depression symptoms across the diagnostic spectrum through a large-scale multi-omics clustering approach in 237 individuals. The method incorporated age, body mass index (BMI), 43 plasma immune markers and RNA-seq data from peripheral mononuclear blood cells (PBMCs). Our initial clustering revealed four clusters, including two immune-related depression symptom clusters characterized by elevated BMI, higher depression severity and elevated levels of immune markers such as interleukin-1 receptor antagonist (IL-1RA), C-reactive protein (CRP) and C-C motif chemokine 2 (CCL2 or MCP-1). In contrast, the RNA-seq data mostly differentiated a cluster with low depression severity, enriched in brain related gene sets. This cluster was also distinguished by electrocardiography data, while structural imaging data revealed differences in ventricle volumes across the clusters. Incorporating predicted cell type proportions into the clustering resulted in three clusters, with one showing elevated immune marker concentrations. The cell type proportion and genes related to cell types were most pronounced in an intermediate depression symptoms cluster, suggesting that RNA-seq and immune markers measure different aspects of immune dysregulation. Lastly, we found a dysregulation of the SERPINF1/VEGF-A pathway that was specific to dendritic cells by integrating immune marker and RNA-seq data. This shows the advantages of combining different data modalities and highlights possible markers for further stratification research of depression symptoms.

Background: Major depressive disorder represents (MDD) a major cause of disability and disease burden. Beside antidepressant medication, psychotherapy is a key approach of treatment. Schema therapy has been shown to be effective in the treatment of psychiatric disorders, especially personality disorders, in a variety of settings and patient groups. Nevertheless, there is no evidence on its effectiveness for MDD in an inpatient nor day clinic setting and little is known about the factors that drive treatment response in such a target group. Methods: In the current protocol, we outline OPTIMA (OPtimized Treatment Identification at the MAx Planck Institute): a single-center randomized controlled trial of schema therapy as a treatment approach for MDD in an inpatient and day clinic setting. Over the course of 7 weeks, we compare schema therapy with cognitive behavioral therapy and individual supportive therapy, conducted in individual and group sessions and with no restrictions regarding concurrent antidepressant medication, thus approximating real-life treatment conditions. N = 300 depressed patients are included. All study therapists undergo a specific training and supervision and therapy adherence is assessed. Primary outcome is depressive symptom severity as self-assessment (Beck Depression Inventory-II) and secondary outcomes are clinical ratings of MDD (Montgomery-Asberg Depression Rating Scale), recovery rates after 7 weeks according to the Munich-Composite International Diagnostic Interview, general psychopathology (Brief Symptom Inventory), global functioning (World Health Organization Disability Assessment Schedule), and clinical parameters such as dropout rates. Further parameters on a behavioral, cognitive, psychophysiological, and biological level are measured before, during and after treatment and in 2 follow-up assessments after 6 and 24 months after end of treatment. Discussion: To our knowledge, the OPTIMA-Trial is the first to investigate the effectiveness of schema therapy as a treatment approach of MDD, to investigate mechanisms of change, and explore predictors of treatment response in an inpatient and day clinic setting by using such a wide range of parameters. Insights from OPTIMA will allow more integrative approaches of psychotherapy of MDD. Especially, the identification of intervention-specific markers of treatment response can improve evidence-based clinical decision for individualizing treatment. Trial registration: Identifier on clinicaltrials.gov: NCT03287362; September, 12, 2017

Introduction: Schema therapy (ST) reduces depressive symptoms, but clinical trials have not investigated its effectiveness for patients suffering from severe forms of depression and high rates of comorbidities. There is high demand for exploring and improving treatments for this patient group. The objective of the current study was to evaluate whether ST is more effective than individual supportive therapy (IST) and noninferior compared with cognitive behavioral therapy (CBT) in treating depression. Methods: For this clinical trial, medicated patients were recruited in inpatient and day clinic settings. The major inclusion criteria were age between 18 and 75 years and primary diagnosis of depression without psychotic symptoms. A total of 292 participants were randomized to ST, CBT, or IST and received 7 weeks of psychotherapy (up to 14 individual and 14 group sessions). The primary outcome was change in depression severity after treatment measured by Beck Depression Inventory-II. Primary test for efficacy was superiority of ST over IST. Secondary test was noninferiority of ST compared with CBT. Multilevel modeling was conducted. The results at 6-month follow-up were explored. Results: Across treatment, ST was not superior to IST. Secondary outcome analyses and completer analyses showed similar results. However, ST showed clinically relevant noninferiority compared with CBT. Conclusion: ST for depression as part of a psychiatric care program showed clinical noninferiority compared to CBT, without being superior to IST. ST represents a potentially useful addition to the therapeutic repertoire for the treatment of depression but its efficacy, including long-term efficacy, should be evaluated further.

Major depression (MD) is a leading cause of global disease burden, and both experimental and population-based studies suggest that differences in DNA methylation may be associated with the condition. However, previous DNA methylation studies have, so far, not been widely replicated, suggesting a need for larger meta-analysis studies. Here we conducted a meta-analysis of methylome-wide association analysis for lifetime MD across 18 studies of 24,754 European-ancestry participants (5,443 MD cases) and an East Asian sample (243 cases, 1,846 controls). We identified 15 CpG sites associated with lifetime MD with methylome-wide significance. The methylation score created using the methylome-wide association analysis summary statistics was significantly associated with MD status in an out-of-sample classification analysis (area under the curve 0.53). Methylation score was also associated with five inflammatory markers, with the strongest association found with tumor necrosis factor beta. Mendelian randomization analysis revealed 23 CpG sites potentially causally linked to MD, with 7 replicated in an independent dataset. Our study provides evidence that variations in DNA methylation are associated with MD, and further evidence supporting involvement of the immune system.

Background: Advancements in the treatment of depression are pivotal due to high levels of non-response and relapse. This study evaluated the role of personality pathology in the treatment of depression by testing whether maladaptive personality traits (1) predict changes in depression over treatment or vice versa, (2) change themselves over treatment, (3) change differentially depending on treatment with schema therapy (ST) or cognitive behavioural therapy (CBT), and (4) moderate the effectiveness of these treatments.Methods: We included 193 depressed inpatients (53.4% women, M_age = 42.9, SD = 13.4) participating in an assessor-blind randomized clinical trial and receiving a 7-week course of ST or CBT. The research questions were addressed using multiple indicator latent change score models as well as multigroup structural equation models implemented in EffectLiteR.Results: Maladaptive traits did not predict changes in depressive symptoms at post-treatment, or vice versa. However, maladaptive trait domains decreased over treatment (standardized Δμ range: −0.38 to −0.89), irrespective of treatment with ST or CBT. Maladaptive traits at baseline did not moderate the effectiveness of these treatments.Conclusions: Self-reported maladaptive personality traits can change during treatment of depression, but may have limited prognostic or prescriptive value, at least in the context of ST or CBT. These results need to be replicated using follow-up data, larger and more diverse samples, and informant-rated measures of personality pathology.

Early adaptive schemas (EAS) are resilience-oriented counterparts to early maladaptive schemas (EMS), which are central in schema therapy. The Young Positive Schema Questionnaire (YPSQ) was developed as a measure of EAS but has been evaluated neither in relation to a clinical population nor in a German-speaking sample. Objectives of this study were therefore the psychometric validation of a German YPSQ in a community sample and the comparison of EAS to psychiatric patients. Participants were 1,418 individuals from a community sample and 182 psychiatric patients with a main diagnosis of major depressive disorder. A factor structure of 10 EAS, instead of the original 14, demonstrated satisfactory factorial validity and internal consistency in both samples. EAS exhibited divergent validity to EMS, childhood trauma, and psychopathology. Convergent validity was evident with resilience, self-efficacy, and satisfaction with life. Support for incremental validity beyond EMS was especially shown for resilience, self-efficacy, and satisfaction with life, and was also evident for several dimensions of psychopathology. Individuals in the community sample exhibited more pronounced EAS compared to psychiatric patients with the exception of empathic consideration. Especially for concepts associated with mental health, the YPSQ has the potential to be a highly valuable addition to current research and practice.