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Previous studies consistently reported abnormal recognition of facial expressions in depression. However, it is still not clear whether this abnormality is due to an enhanced or impaired ability to recognize facial expressions, and what underlying cognitive systems are involved. The present study aimed to examine how individuals with elevated levels of depressive symptoms differ from controls on facial expression recognition and to assess attention and information processing using eye tracking. Forty participants (18 with elevated depressive symptoms) were instructed to label facial expressions depicting one of seven emotions. Results showed that the high-depression group, in comparison with the low-depression group, recognized facial expressions faster and with comparable accuracy. Furthermore, the high-depression group demonstrated greater leftwards attention bias which has been argued to be an indicator of hyperactivation of right hemisphere during facial expression recognition.
Background: Panic disorder is common (5% prevalence) and females are twice as likely to be affected as males. The heritable component of panic disorder is estimated at 48%. Glutamic acid dehydrogenase GAD1, the key enzyme for the synthesis of the inhibitory and anxiolytic neurotransmitter GABA, is supposed to influence various mental disorders, including mood and anxiety disorders. In a recent association study in depression, which is highly comorbid with panic disorder, GAD1 risk allele associations were restricted to females. Methodology/Principal Findings: Nineteen single nucleotide polymorphisms (SNPs) tagging the common variation in GAD1 were genotyped in two independent gender and age matched case-control samples (discovery sample n = 478; replication sample n = 584). Thirteen SNPs passed quality control and were examined for gender-specific enrichment of risk alleles associated with panic disorder by using logistic regression including a genotype6gender interaction term. The latter was found to be nominally significant for four SNPs (rs1978340, rs3762555, rs3749034, rs2241165) in the discovery sample; of note, the respective minor/risk alleles were associated with panic disorder only in females. These findings were not confirmed in the replication sample; however, the genotype6gender interaction of rs3749034 remained significant in the combined sample. Furthermore, this polymorphism showed a nominally significant association with the Agoraphobic Cognitions Questionnaire sum score. Conclusions/Significance: The present study represents the first systematic evaluation of gender-specific enrichment of risk alleles of the common SNP variation in the panic disorder candidate gene GAD1. Our tentative results provide a possible explanation for the higher susceptibility of females to panic disorder.
Based on genetic association and functional imaging studies, reduced function of tryptophan hydroxylase-2 (TPH2) has been shown to be critically involved in the pathophysiology of anxiety-disorders and depression. In order to elucidate the impact of a complete neuronal 5-HT deficiency, mice with a targeted inactivation of the gene encoding Tph2 were generated. Interestingly, survival of Tph2-/- mice, the formation of serotonergic neurons and the pathfinding of their projections was not impaired. Within this thesis, I investigated the influence of 5-HT deficiency on the γ-amino butyric acid (GABA) system. The GABAergic system is implicated in the pathophysiology of anxiety disorders. Therefore, measurement of GABA concentrations in different limbic brain regions was carried out. These measurements were combined with immunohistochemical estimation of GABAergic cell subpopulations in the dorsal hippocampus and amygdala. In Tph2-/- mice GABA concentrations were increased exclusively in the dorsal hippocampus. In heterozygous Tph2+/- mice concentrations of GABA were increased in the amygdala compared to Tph2-/- and wt control mice, while the reverse was found in the prefrontal cortex. The changes in GABA concentrations were accompanied by altered cell density of GABAergic neurons within the basolateral complex of the amygdala and parvalbumin (PV) neurons of the dorsal hippocampus and by adaptational changes of 5-HT receptors. Thus, adaptive changes during the development on the GABA system may reflect altered anxiety-like and depressive-like behavior in adulthood. Moreover, chronic mild stress (CMS) rescues the depressive-like effects induced by 5-HT deficiency. In contrast, 5-HT is important in mediating an increased innate anxiety-like behavior under CMS conditions. This is in line with a proposed dual role of 5-HT acting through different mechanisms on anxiety and depressive-like behavior, which is influenced by gene-environment interaction effects. Further research is needed to disentangle these complex networks in the future.
Background and Objectives: Cycloid psychoses are characterized by polymorphic symptomatology with intraphasic bipolarity, a remitting and recurrent course and favourable prognosis. Perris and Brocicington (P&B) described the first set of operational criteria that were partly incorporated in ICD-10. The present study investigates psychopathological profiles according to the P&B criteria and the original descriptions by Leonhard, both against the background of the criteria from the prevailing international classification systems.
Methods: Eighty patients with psychotic disorders were recruited and assessed with various psychometric instruments at baseline and after six weeks of antipsychotic treatment in order to investigate the presence of cycloid psychoses according to Leonhard (LCP) and the effect of treatment with antipsychotics. The overlap between LCP and DSM-IV Brief Psychotic Disorder (BPD), ICD Acute Polymorphic Psychotic Disorder (APP) and P&B criteria was calculated.
Results: Using P&B criteria and a symptom checklist adapted from the original descriptions by Leonhard, 14 and 12 cases of cycloid psychosis were identified respectively reflecting a prevalence of 15-18%. Small though significant concordance rates were found between LCP and both DSM-BPD and ICD-APP. Concordance between LCP and P&B criteria was also significant, but modest.
Conclusions: This study demonstrates that LCP can be identified in a substantial number of patients with psychotic disorders. Cycloid psychoses are not adequately covered in current classification systems and criteria. Since they are demonstrated to have a specific psychopathological profile, relapsing course and favourable prognosis, it is advocated to include these psychoses in daily differential diagnostic procedures.
With the introduction of new genetic techniques such as genome-wide array comparative genomic hybridization, studies on the putative genetic etiology of schizophrenia have focused on the detection of copy number variants (CNVs), ie, microdeletions and/or microduplications, that are estimated to be present in up to 3% of patients with schizophrenia. In this study, out of a sample of 100 patients with psychotic disorders, 80 were investigated by array for the presence of CNVs. The assessment of the severity of psychiatric symptoms was performed using standardized instruments and ICD-10 was applied for diagnostic classification. In three patients, a submicroscopic CNV was demonstrated, one with a loss in 1q21.1 and two with a gain in 1p13.3 and 7q11.2, respectively. The association between these or other CNVs and schizophrenia or schizophrenia-like psychoses and their clinical implications still remain equivocal. While the CNV affected genes may enhance the vulnerability for psychiatric disorders via effects on neuronal architecture, these insights have not resulted in major changes in clinical practice as yet. Therefore, genome-wide array analysis should presently be restricted to those patients in whom psychotic symptoms are paired with other signs, particularly dysmorphisms and intellectual impairment.
Background: The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD.
Results: The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29).
Conclusions: The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder.
The etiology of emotion-related disorders such as anxiety or affective disorders is considered to be complex with an interaction of biological and environmental factors. Particular evidence has accumulated for alterations in the dopaminergic and noradrenergic system - partly conferred by catechol-O-methyltransferase (COMT) gene variation - for the adenosinergic system as well as for early life trauma to constitute risk factors for those conditions. Applying a multi-level approach, in a sample of 95 healthy adults, we investigated effects of the functional COMT Val158Met polymorphism, caffeine as an adenosine A2A receptor antagonist (300 mg in a placebo-controlled intervention design) and childhood maltreatment (CTQ) as well as their interaction on the affect-modulated startle response as a neurobiologically founded defensive reflex potentially related to fear- and distress-related disorders. COMT val/val genotype significantly increased startle magnitude in response to unpleasant stimuli, while met/met homozygotes showed a blunted startle response to aversive pictures. Furthermore, significant gene-environment interaction of COMT Val158Met genotype with CTQ was discerned with more maltreatment being associated with higher startle potentiation in val/val subjects but not in met carriers. No main effect of or interaction effects with caffeine were observed. Results indicate a main as well as a GxE effect of the COMT Val158Met variant and childhood maltreatment on the affect-modulated startle reflex, supporting a complex pathogenetic model of the affect-modulated startle reflex as a basic neurobiological defensive reflex potentially related to anxiety and affective disorders.
Background: There is increasing evidence that glial cells play a role in the pathomechanisms of mood disorders and the mode of action of antidepressant drugs.
Methods: To examine whether there is a direct effect on the expression of different genes encoding proteins that have been implicated in the pathophysiology of affective disorders, primary astrocyte cell cultures from rats were treated with two different antidepressant drugs, imipramine and escitalopram, and the RNA expression of brain-derived neurotrophic factor (Bdnf), serotonin transporter (5Htt), dopamine transporter (Dat), and endothelial nitric oxide synthase (Nos3) was examined.
Results: Stimulation of astroglial cell culture with imipramine, a tricyclic antidepressant, led to a significant increase of the Bdnf RNA level whereas treatment with escitalopram did not. In contrast, 5Htt was not differentially expressed after antidepressant treatment. Finally, neither Dat nor Nos3 RNA expression was detected in cultured astrocytes.
Conclusion: These data provide further evidence for a role of astroglial cells in the molecular mechanisms of action of antidepressants.
Early-life stress has been shown to influence the development of the brain and to increase the risk for psychiatric disorders later in life. Furthermore, variation in the human serotonin transporter (5-HTT, SLC6A4) gene is suggested to exert a modulating effect on the association between early-life stress and the risk for depression. At the basis of these gene x environment (G x E) interactions, epigenetic mechanisms, such as DNA-methylation, seem to represent the primary biological processes mediating early-life programming for stress susceptibility or resilience, respectively. The exact molecular mechanisms however remain to be elucidated, though. In the present study, we used two different stress paradigms to assess the molecular mechanisms mediating the relationship between early-life stress and disorders of emotion regulation later in life. First, a 5-Htt x prenatal stress (PS) paradigm was applied to investigate whether the effects of PS are dependent on the 5-Htt genotype. For this purpose, the effects of PS on cognition and anxiety- / depression-related behavior were examined using a maternal restraint stress paradigm of PS in C57BL/6 wild-type (WT) and heterozygous 5-Htt deficient (5-Htt+/-) mice. Additionally, in female offspring, a genome-wide hippocampal gene expression and DNA methylation profiling was performed using the Affymetrix GeneChip® Mouse Genome 430 2.0 Array and the AffymetrixGeneChip® Mouse Promoter 1.0R Array. Some of the resulting candidate genes were validated by quantitative real-time PCR. Further, the gene expression of these genes was measured in other brain regions of the PS animals as well as in the hippocampus of offspring of another, 5-Htt x perinatal stress (PeS) paradigm, in which pregnant and lactating females were stressed by an olfactory cue indicating infanticide. To assess resilience to PS and PeS, correlation studies between gene expression and behaviour were performed based on an initial performance-based LIMMA analysis of the gene expression microarray. 5-Htt+/- offspring of the PS paradigm showed enhanced memory performance and signs of reduced anxiety as compared to WT offspring. In contrast, exposure of 5-Htt+/- mice to PS was associated with increased depression-like behavior, an effect that tended to be more pronounced in female offspring. Further, 5-Htt genotype, PS and their interaction differentially affected the expression and DNA methylation of numerous genes and related pathways within the female hippocampus. Specifically, MAPK and neurotrophin signaling were regulated by both the 5-Htt+/- genotype and PS exposure, whereas cytokine and Wnt signaling were affected in a 5-Htt genotype x PS manner, indicating a gene x environment interaction at the molecular level. The candidate genes of the expression array could be validated and their expression patterns were partly consistent in the prefrontal cortex and striatum. Furthermore, the genotype effect of XIAP associated factor 1 (Xaf1) was also detected in the mice of the PeS paradigm. Concerning resilience, we found that the expression of growth hormone (Gh), prolactin (Prl) and fos-induced growth factor (Figf) were downregulated in WTPS mice that performed well in the forced swim test (FST). At the same time, the results indicated that Gh and Prl expression correlated positively with adrenal weight, whereas Figf expression correlated positively with basal corticosteron concentration, indicating an intricate relationship between depression-like behavior, hippocampal gene expression and the hypothalamo-pituitary-adrenal (HPA) axis activity. Correlation studies in the PeS animals revealed a link between Gh / Prl expression and anxiety-like behavior. In conclusion, our data suggest that although the 5-Htt+/- genotype shows clear adaptive capacity, 5-Htt+/- mice, particularly females, appear to be more vulnerable to developmental stress exposure when compared to WT offspring. Moreover, hippocampal gene expression and DNA methylation profiles suggest that distinct epigenetic mechanisms at the molecular level mediate the behavioral effects of the 5-Htt genotype, PS exposure, and their interaction. Further, resilience to early-life stress might be conferred by genes whose expression is linked to HPA axis function.
In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P<1 × 10−8) and 11q and 17p (P<1 × 10−6). As we have identified that common variants of the LPHN3 gene were responsible for the 4q linkage signal, we focused on 4q–11q interaction to determine that single-nucleotide polymorphisms (SNPs) harbored in the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 genes, to double the risk of developing ADHD. This interaction not only explains genetic effects much better than taking each of these loci effects by separated but also differences in brain metabolism as depicted by proton magnetic resonance spectroscopy data and pharmacogenetic response to stimulant medication. These findings not only add information about how high order genetic interactions might be implicated in conferring susceptibility to develop ADHD but also show that future studies of the effects of genetic interactions on ADHD clinical information will help to shape predictive models of individual outcome.