Effectiveness of Schema Therapy versus Cognitive Behavioral Therapy versus Supportive Therapy for Depression in Inpatient and Day Clinic Settings: A Randomized Clinical Trial.

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.

Supporting return to work after psychiatric hospitalization-A cluster randomized study (RETURN-study).

BACKGROUND: If people with episodic mental-health conditions lose their job due to an episode of their mental illness, they often experience personal negative consequences. Therefore, reintegration after sick leave is critical to avoid unfavorable courses of disease, longer inability to work, long payment of sickness benefits, and unemployment. Existing return-to-work (RTW) programs have mainly focused on "common mental disorders" and often used very elaborate and costly interventions without yielding convincing effects. It was the aim of the RETURN study to evaluate an easy-to-implement RTW intervention specifically addressing persons with mental illnesses being so severe that they require inpatient treatment. METHODS: The RETURN study was a multi-center, cluster-randomized controlled trial in acute psychiatric wards addressing inpatients suffering from a psychiatric disorder. In intervention wards, case managers (RTW experts) were introduced who supported patients in their RTW process, while in control wards treatment, as usual, was continued. RESULTS: A total of 268 patients were recruited for the trial. Patients in the intervention group had more often returned to their workplace at 6 and 12 months, which was also mirrored in more days at work. These group differences were statistically significant at 6 months. However, for the main outcome (days at work at 12 months), differences were no longer statistically significant (p = 0.14). Intervention patients returned to their workplace earlier than patients in the control group (p = 0.040). CONCLUSIONS: The RETURN intervention has shown the potential of case-management interventions when addressing RTW. Further analyses, especially the qualitative ones, may help to better understand limitations and potential areas for improvement.

Chronic Serotonergic Overstimulation Mimicking Panic Attacks in a Patient with Parkinson's Disease Receiving Additional Antidepressant Treatment with Moclobemide.

BACKGROUND: The pharmacological treatment options of Parkinson's disease (PD) have considerably evolved during the last decades. However, therapeutic regimes are complicated due to individual differences in disease progression as well as the occurrence of complex nonmotor impairments such as mood and anxiety disorders. Antidepressants in particular are commonly prescribed for the treatment of depressive symptoms and anxiety in PD. Case Presentation. In this case report, we describe a case of a 62-year-old female patient with PD and history of depressive symptoms for which she had been treated with moclobemide concurrent with anti-Parkinson medications pramipexole, rasagiline, and L-DOPA+benserazide retard. An increase in the dosage of moclobemide 12 months prior to admission progressively led to serotonergic overstimulation and psychovegetative exacerbations mimicking the clinical picture of an anxiety spectrum disorder. After moclobemide and rasagiline were discontinued based on the hypothesis of serotonergic overstimulation, the patient's psychovegetative symptoms subsided. CONCLUSIONS: The specific pharmacological regime in this case probably caused drug-drug interactions resulting in a plethora of psychovegetative symptoms. Likely due to the delayed onset of adverse effects, physicians had difficulties in determining the pharmacologically induced serotonin toxicity. This case report emphasizes the complexity of pharmacological treatments and the importance of drug-drug interaction awareness in the treatment of PD patients with complicating nonmotor dysfunctions such as depression.

Schema therapy versus cognitive behavioral therapy versus individual supportive therapy for depression in an inpatient and day clinic setting: study protocol of the OPTIMA-RCT.

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.

Psychotherapy or medication for depression? Using individual symptom meta-analyses to derive a Symptom-Oriented Therapy (SOrT) metric for a personalised psychiatry.

BACKGROUND: Antidepressant medication (ADM) and psychotherapy are effective treatments for major depressive disorder (MDD). It is unclear, however, if treatments differ in their effectiveness at the symptom level and whether symptom information can be utilised to inform treatment allocation. The present study synthesises comparative effectiveness information from randomised controlled trials (RCTs) of ADM versus psychotherapy for MDD at the symptom level and develops and tests the Symptom-Oriented Therapy (SOrT) metric for precision treatment allocation. METHODS: First, we conducted systematic review and meta-analyses of RCTs comparing ADM and psychotherapy at the individual symptom level. We searched PubMed Medline, PsycINFO, and the Cochrane Central Register of Controlled Trials databases, a database specific for psychotherapy RCTs, and looked for unpublished RCTs. Random-effects meta-analyses were applied on sum-scores and for individual symptoms for the Hamilton Rating Scale for Depression (HAM-D) and Beck Depression Inventory (BDI) measures. Second, we computed the SOrT metric, which combines meta-analytic effect sizes with patients' symptom profiles. The SOrT metric was evaluated using data from the Munich Antidepressant Response Signature (MARS) study (n = 407) and the Emory Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study (n = 234). RESULTS: The systematic review identified 38 RCTs for qualitative inclusion, 27 and 19 for quantitative inclusion at the sum-score level, and 9 and 4 for quantitative inclusion on individual symptom level for the HAM-D and BDI, respectively. Neither meta-analytic strategy revealed significant differences in the effectiveness of ADM and psychotherapy across the two depression measures. The SOrT metric did not show meaningful associations with other clinical variables in the MARS sample, and there was no indication of utility of the metric for better treatment allocation from PReDICT data. CONCLUSIONS: This registered report showed no differences of ADM and psychotherapy for the treatment of MDD at sum-score and symptom levels. Symptom-based metrics such as the proposed SOrT metric do not inform allocation to these treatments, but predictive value of symptom information requires further testing for other treatment comparisons.

The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes.

BACKGROUND: A major research finding in the field of Biological Psychiatry is that symptom-based categories of mental disorders map poorly onto dysfunctions in brain circuits or neurobiological pathways. Many of the identified (neuro) biological dysfunctions are "transdiagnostic", meaning that they do not reflect diagnostic boundaries but are shared by different ICD/DSM diagnoses. The compromised biological validity of the current classification system for mental disorders impedes rather than supports the development of treatments that not only target symptoms but also the underlying pathophysiological mechanisms. The Biological Classification of Mental Disorders (BeCOME) study aims to identify biology-based classes of mental disorders that improve the translation of novel biomedical findings into tailored clinical applications. METHODS: BeCOME intends to include at least 1000 individuals with a broad spectrum of affective, anxiety and stress-related mental disorders as well as 500 individuals unaffected by mental disorders. After a screening visit, all participants undergo in-depth phenotyping procedures and omics assessments on two consecutive days. Several validated paradigms (e.g., fear conditioning, reward anticipation, imaging stress test, social reward learning task) are applied to stimulate a response in a basic system of human functioning (e.g., acute threat response, reward processing, stress response or social reward learning) that plays a key role in the development of affective, anxiety and stress-related mental disorders. The response to this stimulation is then read out across multiple levels. Assessments comprise genetic, molecular, cellular, physiological, neuroimaging, neurocognitive, psychophysiological and psychometric measurements. The multilevel information collected in BeCOME will be used to identify data-driven biologically-informed categories of mental disorders using cluster analytical techniques. DISCUSSION: The novelty of BeCOME lies in the dynamic in-depth phenotyping and omics characterization of individuals with mental disorders from the depression and anxiety spectrum of varying severity. We believe that such biology-based subclasses of mental disorders will serve as better treatment targets than purely symptom-based disease entities, and help in tailoring the right treatment to the individual patient suffering from a mental disorder. BeCOME has the potential to contribute to a novel taxonomy of mental disorders that integrates the underlying pathomechanisms into diagnoses. TRIAL REGISTRATION: Retrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084).

Effect of the fixed combination of valerian, lemon balm, passionflower, and butterbur extracts (Ze 185) on the prescription pattern of benzodiazepines in hospitalized psychiatric patients-A retrospective case-control investigation.

Stress is an increasing problem that can result in various psychiatric and somatoform symptoms. Among others, benzodiazepines and valerian preparations are used to treat stress symptoms. The aim of this study was to investigate whether the prescription of a fixed herbal extract combination of valerian, lemon balm, passionflower, and butterbur (Ze 185) changes the prescription pattern of benzodiazepines in hospitalized psychiatric patients. In a retrospective case-control study, anonymized medical record data from 3,252 psychiatric in-house patients were analysed over a 3.5-year period. Cases (n = 1,548) with a prescription of Ze 185 and controls (n = 1,704) were matched by age, gender, hospitalization interval, and main International Classification of Diseases, Version 10 F-diagnoses. The primary objective was to investigate the effect of Ze 185 on the prescription pattern of benzodiazepines. Secondary objectives investigated the prescriptions of concomitant drugs and effectiveness of the hospital stay. Distribution of drug classes was analysed using the WHO's anatomic-therapeutic-chemical code. Data showed that both treatment modalities had a comparable clinical effectiveness but with significantly less prescriptions of benzodiazepines in the Ze 185 group (p = .006). This is of clinical importance because suitable alternatives to benzodiazepines are desirable. To obtain more support for this hypothesis, a dedicated randomized, controlled clinical trial monitoring drug safety is required.

Chronotype is associated with psychological well-being depending on the composition of the study sample.

Past studies examining the effect of chronotype and social jetlag on psychological well-being have been inconsistent so far. Here, we recruited participants from the general population and enquired about their natural sleeping behavior, sleep quality, depressive symptoms, and perceived stress. Partial correlations were computed between sleep variables and indicators of psychological well-being, controlling for age and sex. Less sleep during work days was found a good indicator for impairments in psychological well-being. In exploratory follow-up analyses, the same correlations were calculated within groups of early, intermediate, and late chronotype. We observed that the composition of the sample in terms of chronotype influenced whether associations between sleep variables and psychological well-being could be observed, a finding that is advised to be taken into account in future studies.

Heart rate variability and cordance in rapid eye movement sleep as biomarkers of depression and treatment response.

OBJECTIVES: The relevance of rapid eye movement (REM) sleep in affective disorders originates from its well-known abnormalities in depressed patients, who display disinhibition of REM sleep reflected by increased frequency of rapid eye movements (REM density). In this study we examined whether heart rate variability (HRV) and prefrontal theta cordance, both derived from REM sleep, could represent biomarkers of antidepressant treatment response. METHODS: In an open-label, case-control design, thirty-three in-patients (21 females) with a depressive episode were treated with various antidepressants for four weeks. Response to treatment was defined as a ≥50% reduction of HAM-D score at the end of the fourth week. Sleep EEG was recorded after the first and the fourth week of medication. HRV was derived from 3-min artifact-free electrocardiogram segments during REM sleep. Cordance was computed for prefrontal EEG channels in the theta frequency band during tonic REM sleep. RESULTS: HRV during REM sleep was decreased in depressed patients at week four as compared to controls (high effect size; Cohen's d > 1), and showed a negative correlation with REM density in both, healthy subjects and patients at week four. Further, the fourteen responders had significantly higher prefrontal theta cordance as compared to the nineteen non-responders after the first week of antidepressant medication; in contrast, HRV at week one did not discriminate between responders and non-responders. CONCLUSIONS: Our data suggest that HRV in REM sleep categorizes healthy subjects and depressed patients, whereas REM sleep-derived prefrontal cordance may predict the response to antidepressant treatment in depressed patients.

The FKBP5 polymorphism rs1360780 influences the effect of an algorithm-based antidepressant treatment and is associated with remission in patients with major depression.

OBJECTIVE: The FKBP5-gene influences the HPA-system by modulating the sensitivity of the glucocorticoid receptor (GR). The polymorphism rs1360780 has been associated with response in studies with heterogeneous antidepressant treatment. In contrast, several antidepressant studies with standardized antidepressant treatment could not detect this effect. We therefore compared patients with standardized vs naturalistic antidepressant treatment to (a) investigate a possible interaction between FKBP5-genotype and treatment mode and (b) replicate the effect of the FKBP5-genotype on antidepressant treatment outcome. METHODS: A total of 298 major depressive disorder (MDD) inpatients from the multicentred German project and the Zurich Algorithm Project were genotyped for their FKBP5 status. Patients were treated as usual (n=127) or according to a standardized algorithm (n=171). Main outcome criteria was remission (Hamilton Depression Rating Scale-21<10). RESULTS: We detected an interaction of treatment as usual (TAU) treatment and C-allele with the worst outcome for patients combining those two factors (HR=0.46; p=0.000). Even though C-allele patients did better when treated in the structured, stepwise treatment algorithm (SSTR) group, we still could confirm the influence of the FKBP5-genotype in the whole sample (HR=0.52; p=0.01). CONCLUSIONS: This is the first study to show an interaction between a genetic polymorphism and treatment mode. Patients with the C-allele of the rs1360780 polymorphism seem to benefit from a standardized antidepressant treatment.

Improvement of nonsuicidal self-injury following treatment with antipsychotics possessing strong D1 antagonistic activity: evidence from a report of three cases.

INTRODUCTION: There is no drug treatment for nonsuicidal self-injury (NSSI), a highly prevalent and burdensome symptom of several psychiatric diseases like posttraumatic stress disorder (PTSD), personality disorders, and major depression (MD). METHODS: Here, we present a retrospective series of three patients demonstrating a persistent remission in MD-associated NSSI in response to treatment with antipsychotics possessing marked D1 receptor antagonistic activity. RESULTS: To the best of the authors' knowledge, the case series presented is only the second clinical paper suggesting a role for D1 antagonists in NSSI drug therapy. CONCLUSIONS: Together with previously published data from rodent models, the findings suggest a role for D1 antagonists in NSSI drug therapy and hence for the D1 receptor in NSSI pathogenesis. This conclusion is limited by the facts that the patients presented here received polypharmacy and that the D1 receptor antagonistic antipsychotics suggested here as effective 'anti-auto-aggressants' do not address D1 receptors only but multiple neurotransmitter receptors/systems.

miRNAs and other non-coding RNAs in posttraumatic stress disorder: A systematic review of clinical and animal studies.

In the last couple of years, non-coding (nc) RNAs like micro-RNAs (miRNAs), small interference RNAs (siRNAs) and long ncRNAs (lncRNAs) have emerged as promising candidates for biomarkers and drug-targets in a variety of psychiatric disorders. In contrast to reports on ncRNAs in affective disorders, schizophrenia and anxiety disorders, manuscripts on ncRNAs in posttraumatic stress disorder (PTSD) and associated animal models are scarce. Aiming to stimulate ncRNA research in PTSD and to identify the hitherto most promising ncRNA candidates and associated pathways for psychotrauma research, we conducted the first review on ncRNAs in PTSD. We aimed to identify studies reporting on the expression, function and regulation of ncRNAs in PTSD patients and in animals exhibiting a PTSD-like syndrome. Following the PRISMA guidelines for systematic reviews, we systematically screened the PubMed database for clinical and animal studies on ncRNAs in PTSD, animal models for PTSD and animal models employing a classical fear conditioning paradigm. Using 112 different combinations of search terms, we retrieved 523 articles of which we finally included and evaluated three clinical and 12 animal studies. In addition, using the web-based tool DIANA miRPath v2.0, we searched for molecular pathways shared by the predicted targets of the here-evaluated miRNA candidates. Our findings suggest that mir-132, which has been found to be regulated in three of the here included studies, as well as miRNAs with an already established role in Alzheimer's disease (AD) seem to be particularly promising candidates for future miRNA studies in PTSD. These results are limited by the low number of human trials and by the heterogeneity of included animal studies.

[Not Available]. / Die Krankheit Depression kann jeden treffen.

The survey "Datenerhebung zur Depression in der Allgemeinbevölkerung" was conducted from fall 2010 to spring 2011 on several online platforms. The results show that there is a considerable timespan between the appearance of initial symptoms of depression and the first diagnosis of a patient. Intervention at early stages of the disease can reduce a potentially long time of suffering and can lead to the successful treatment of depression. General practitioners play an important role as the link between patient and psychiatrist.

Preliminary data of a HAMD-17 validated symptom scale derived from the ICD-10 to diagnose depression in outpatients.

BACKGROUND: In outpatient settings diagnostic classification of depressive symptoms is mostly descriptive based on ICD-10. Depending on clinical experience and consultation time, diagnosis can be verified by validated scales. However, physicians working in primary care are familiar with ICD-10 criteria. Therefore, the aim of the present study was to examine the feasibility of the validation of an ICD-10-derived symptom scale for depression. METHODS: For this preliminary trial we generated a symptom scale derived 1:1 from the diagnostic criteria for depression given in the ICD-10 with 10 items. The Hamilton Rating Scale for Depression (HAMD-17) was used as reference in a population of 226 outpatients suffering from depressive symptoms. Correlation between scales as well as sensitivity and specificity of the ICD-10 scale were calculated. RESULTS: The generated ICD-10 symptom scale for depression could be analyzed in 219 patients and showed a significant and strong correlation with the HAMD-17 (p < 0.0001; ρ = 0.75). The best tradeoffs between specificity and sensitivity of the ICD-10 score were found at 10 points for the lower and 14 points for the upper cut-off. Overall sensitivity and specificity was 76.7 and 88.6%. Almost two thirds (i.e. 65.3%) of the patients were correctly classified by the ICD-10 scale. CONCLUSION: The ICD-10 symptom scale examined in the current population was found to have fair correlation with the HAMD-17 as well as, in face of the limited variance of the patients' condition, acceptable sensitivity and specificity. Therefore, this preliminary study showed that the ICD-10-derived symptom scale seems appropriate to be investigated in a thorough validation trial.

Stress response regulation in panic disorder.

Panic disorder is a frequent and disabling mental disorder characterized by recurrent periods or abrupt surges of intense fear or discomfort, the panic attacks. The clinical phenomenology of panic attacks suggests a prominent role of a disturbed stress response regulation in the aetiopathology of this disorder. We summarize the results of challenge tests of the hypothalamus-pituitary-adrenocortical (HPA) axis in panic disorder and give an overview of studies using psychosocial challenge paradigms. The results of HPA axis challenge tests suggest an increased expression of the hypothalamic neuropeptides, but an intact negative feedback inhibition at the level of the pituitary. Psychosocial challenge tests give evidence for dissociation between the subjective stress response and the HPA axis response in panic disorder, which might be the result of an over-focussed self-monitoring leading to an enhanced stress perception despite normal HPA axis activation. We integrated these findings in a cognitive stress control model suggesting that panic disorder patients develop efficient strategies to control the somatic stress response despite a hypothalamic hyperdrive of the HPA axis. To employ these strategies at the right time, patients acquired an enhanced perception of stress symptoms, leading to the reported dissociation of the subjective and HPA axis response. It can be inferred from these findings that cognitive behavioral therapy addressing over-focussed self-monitoring and maladaptive control strategies in combination with pharmacological treatment against over-expression of the hypothalamic neuropeptides should be an effective treatment in severe forms of panic disorder, which corresponds with recent treatment guidelines.

Quantifying uncertainty in Transcranial Magnetic Stimulation - A high resolution simulation study in ICBM space.

Transcranial Magnetic Stimulation offers enormous potential for noninvasive brain stimulation. While it is known that brain tissue significantly "reshapes" induced field and charge distributions, most modeling investigations to-date have focused on single-subject data with limited generality. Further, the effects of the significant uncertainties which exist in the simulation (i.e. brain conductivity distributions) and stimulation (e.g. coil positioning and orientations) setup have not been quantified. In this study, we construct a high-resolution anisotropic head model in standard ICBM space, which can be used as a population-representative standard for bioelectromagnetic simulations. Further, we employ Monte-Carlo simulations in order to quantify how uncertainties in conductivity values propagate all the way to induced field and currents, demonstrating significant, regionally dependent dispersions in values which are commonly assumed "ground truth". This framework can be leveraged in order to quantify the effect of any type of uncertainty in noninvasive brain stimulation and bears relevance in all applications of TMS, both investigative and therapeutic.

A hypericum extract in the treatment of depressive symptoms in outpatients: an open study.

BACKGROUND: Extracts of Hypericum perforatum have demonstrated in randomized trials (RCTs) to be effective in mild to moderate depressive episodes. However, as their use in daily practice may differ from that in RCTs we have conducted a study to achieve a better estimate of the range and frequency of adverse drug reactions (ADR) and the efficacy. PATIENTS AND METHODS: In an observational study in Germany, adult outpatients with depressive syndrome were treated with an extract of St. John's Wort. Study duration was 12 weeks, with control visits every 4 weeks. Besides anamnestic data, the variables assessed were: evolution of ICD-10 derived symptom score, Global Clinical Impression scale (GCI), and tolerability. RESULTS: 1,778 patients from 304 centers participated in the study (mean duration of disorder 7.3 +/- 18.9 months), and 1,541 patients completed it. At the last control visit the ICD-10 sum score had dropped by 63.1% and the proportion of patients described as 'normal to mildly ill' (GCI-s) had increased from 21.6% at admission to 72.4%. Regarding the GCI-i, 77% of the patients had improved 'very much' or 'much' at the last visit. This was consistent with their self-assessment (76%). Lower age and shorter duration of the disorder were associated with significantly better outcomes. The incidence of ADRs was 3.54% and had been decreasing continuously from the first control visit onwards; serious ADRs did not occur. CONCLUSIONS: The herbal drug was well tolerated, and no new or serious ADR were identified. In view of the limitations inherent to the study design, it can be concluded that extracts of St. John's Wort are effective as an antidepressant in the management of depression in daily practice.

Adenosine A(2A) receptor gene: evidence for association of risk variants with panic disorder and anxious personality.

Adenosine A(2A) receptors are suggested to play an important role in different brain circuits and pathways involved in anxiety reactions. A variant within the corresponding ADORA2A gene (rs5751876) increased the risk for panic disorder (PD), for elevated anxiety during challenge tests in healthy probands and for anxiety-related arousal in blood-injury phobia. These multiple effects may mirror a more general effect of the SNP on basic personality traits. In the present study we therefore aimed to replicate the original finding in a large PD sample and extend it by investigating an additional proband sample characterized for different anxiety-related personality scores. In addition, as rs5751876 is assumed not to be the disease variant itself but to be in linkage disequilibrium (LD) with the true functional polymorphism other SNPs of potentially functional relevance were identified by re-sequencing the whole gene including several newly identified regions of putative regulatory potential and analysed for their impact on PD and anxious personality. We were indeed able to replicate rs5751876 as risk factor for PD, particularly PD with agoraphobia. Rs5751876 and several other variants in high LD (rs5751862, rs2298383 and rs3761422) as well as the corresponding haplotypes were also associated with different anxiety-related personality scores (Bonferroni corrected P(all) < 0.05). Of these variants, rs2298383 shows functional potential based on in silico analyses and might therefore represent the true underlying causal variant. Our data provide further support for an important role of ADORA2A variants in the pathogenesis of anxiety disorders and anxious personality reflecting their potential as basic susceptibility factors.