24 research outputs found

    Stress-related psychopathology after cardiac surgery and intensive care treatment

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    Objective: Cardiac surgery patients are at risk for psychopathology. Symptoms of post-traumatic stress disorder (PTSD) and depression occur in 10–20% of these patients and affect their quality of life. The aim of this study was to assess factors associated with psychopathology after cardiac surgery. Methods: We followed participants of the multi-center randomized clinical trial Dexamethasone for Cardiac Surgery (DECS), on a single, intravenous dose of dexamethasone (1 mg/kg) or placebo during cardiac surgery, using validated questionnaires to assess PTSD and depressive symptoms after 1.5 to 4 years, as well as childhood trauma, trait anxiety, pre-existing psychopathology, and substance use. Saliva was used for genotyping of the hypothalamic-pituitary-adrenal-axis (HPA axis) glucocorticoid receptor gene. Linear backward regression analysis was performed with these factors, including pre-specified interaction terms of dexamethasone with sex and genotype. Results: Complete data was available for 90% of cases (n = 1111). The model including trait anxiety and the [dexamethasone x female sex] interaction explained 57% of variance in PTSD symptoms (Model fit F (2;4.817)=643.043, p<.001; R2=0 0.57). Similar explained variance was seen for depressive symptoms, where age, trait anxiety and the [dexamethasone x female sex] interaction provided the optimal model (Model fit F (3;4.261)=435,960, p<.001; R2=0.58). Limitations: In this study psychopathology was assessed through validated questionnaires. Variability in data collection detail was present. Conclusion: This study suggests that the occurrence of psychopathology after cardiac surgery is influenced by higher trait anxiety. Female cardiac surgery patients may benefit from intra-operative dexamethasone administration

    The Psychiatric Case Register Middle Netherlands

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    <p>Abstract</p> <p>Background</p> <p>The Psychiatric Case Register Middle Netherlands (PCR-MN) registers the mental healthcare consumption of over Dutch 760,000 inhabitants in the centre of the Netherlands. In 2010 the follow-up period was over ten years. In this paper we describe the content, aims and research potential of this case register.</p> <p>Description</p> <p>All mental healthcare institutions in the middle-western part of the province of Utrecht participate in the PCR-MN case register. All in- and out-patients treated in these institutions have been included in the database from the period 2000 to 2010. Diagnosis according to DSM-IV on axis I to IV, visits to in- and out-patient clinics and basic demographics are recorded. A major advantage of this register is the possibility to link patients anonymously from the PCR-MN cohort to other databases to analyze relationships with determinants and outcomes, such as somatic healthcare consumption, mortality, and demographics, which further increases the research potential</p> <p>Conclusions</p> <p>The PCR-MN database has a large potential for scientific research because of its size, duration of follow-up and ability to link with additional databases, and is accessible for academic researchers.</p

    Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia

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    We report results from the Bipolar Exome (BipEx) collaboration analysis of whole-exome sequencing of 13,933 patients with bipolar disorder (BD) matched with 14,422 controls. We find an excess of ultra-rare protein-truncating variants (PTVs) in patients with BD among genes under strong evolutionary constraint in both major BD subtypes. We find enrichment of ultra-rare PTVs within genes implicated from a recent schizophrenia exome meta-analysis (SCHEMA; 24,248 cases and 97,322 controls) and among binding targets of CHD8. Genes implicated from genome-wide association studies (GWASs) of BD, however, are not significantly enriched for ultra-rare PTVs. Combining gene-level results with SCHEMA, AKAP11 emerges as a definitive risk gene (odds ratio (OR) = 7.06, P = 2.83 × 10-9). At the protein level, AKAP-11 interacts with GSK3B, the hypothesized target of lithium, a primary treatment for BD. Our results lend support to BD's polygenicity, demonstrating a role for rare coding variation as a significant risk factor in BD etiology

    Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa

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    Comparing episodes of antidepressants use with intermittent episodes of no use: A higher relative risk of suicide attempts but not of suicide at young age

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    The Food and Drug Administration has issued a number of advisories regarding a possible causal link between antidepressants and suicide behaviour among young persons. We investigated the age dependency of (fatal) suicide attempts associated with antidepressants (N=232,561). By linking insurance claims with the death register of Statistics Netherlands (2002-2011), rates of (fatal) suicide attempts were estimated during antidepressant use and intermittent episodes without use. The age dependency of the relative risk of attempts and of suicide during episodes with compared with episodes without antidepressants was investigated by testing the {age × episode} interaction.The attempt rate during antidepressant use decreased with increasing age, concurrently with a decrease of the relative risk from 3.62 to 1.86 (p for interaction 5 years). No suicides were found among those aged 0.46). The association between antidepressants and suicide attempts at a young age does not necessarily point to a causal relationship, and, most importantly, did not translate to a similar age dependency for suicide

    DNA methylation signatures of mood stabilizers and antipsychotics in bipolar disorder

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    Aim: In view of the potential effects of psychiatric drugs on DNA methylation, we investigated whether medication use in bipolar disorder is associated with DNA methylation signatures. Experimental procedures: Blood-based DNA methylation patterns of six frequently used psychotropic drugs (lithium, quetiapine, olanzapine, lamotrigine, carbamazepine, and valproic acid) were examined in 172 bipolar disorder patients. After adjustment for cell type composition, we investigated gene networks, principal components, hypothesis-driven genes and epigenome-wide individual loci. Results: Valproic acid and quetiapine were significantly associated with altered methylation signatures after adjustment for drug-related changes on celltype composition. Conclusion: Psychiatric drugs influence DNA methylation patterns over and above cell type composition in bipolar disorder. Drug-related changes in DNA methylation are therefore not only an important confounder in psychiatric epigenetics but may also inform on the biological mechanisms underlying drug efficacy. </jats:p

    Open Access Aging effects on DNA methylation modules in human brain and blood tissue

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    Background: Several recent studies reported aging effects on DNA methylation levels of individual CpG dinucleotides. But it is not yet known whether aging-related consensus modules, in the form of clusters of correlated CpG markers, can be found that are present in multiple human tissues. Such a module could facilitate the understanding of aging effects on multiple tissues. Results: We therefore employed weighted correlation network analysis of 2,442 Illumina DNA methylation arrays from brain and blood tissues, which enabled the identification of an age-related co-methylation module. Module preservation analysis confirmed that this module can also be found in diverse independent data sets. Biological evaluation showed that module membership is associated with Polycomb group target occupancy counts, CpG island status and autosomal chromosome location. Functional enrichment analysis revealed that the aging-related consensus module comprises genes that are involved in nervous system development, neuron differentiation and neurogenesis, and that it contains promoter CpGs of genes known to be down-regulated in early Alzheimer’s disease. A comparison with a standard, non-module based meta-analysis revealed that selecting CpGs based on module membership leads to significantly increased gene ontology enrichment, thus demonstrating that studying aging effects via consensus network analysis enhances the biological insights gained
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