Mood and anxiety disorders in women with PCOS

Women with polycystic ovary syndrome have gynecologic, reproductive and metabolic co-morbidities that span their entire lifespan. More recently a higher risk of mood and anxiety disorders has been reported in women with PCOS. Women with PCOS have higher depression scores and a higher risk of depression independent of BMI. Although clinical features of hyperandrogenism affect health related quality of life, the association between hirsutism, acne, body image and depression is currently unclear. Similarly there is limited data on the association between variables such as biochemical hyperandrogenism or infertility and depression. Women with PCOS are also at risk for symptoms of generalized anxiety disorder. There is insufficient data examining the risk of other anxiety disorders such as social phobia, obsessive compulsive disorders and panic disorder. In a number of patients some of these disorders coexist increasing the health burden. These data underscore the need to screen all women with PCOS for mood and anxiety disorders and adequately treat women who are diagnosed with these conditions.     

Progress in understanding mood disorders: optogenetic dissection of neural circuits

Major depression is characterized by a cluster of symptoms that includes hopelessness, low mood, feelings of worthlessness and inability to experience pleasure. The lifetime prevalence of major depression approaches 20%, yet current treatments are often inadequate both because of associated side effects and because they are ineffective for many people. In basic research, animal models are often used to study depression. Typically, experimental animals are exposed to acute or chronic stress to generate a variety of depression‐like symptoms. Despite its clinical importance, very little is known about the cellular and neural circuits that mediate these symptoms. Recent advances in circuit‐targeted approaches have provided new opportunities to study the neuropathology of mood disorders such as depression and anxiety. We review recent progress and highlight some studies that have begun tracing a functional neuronal circuit diagram that may prove essential in establishing novel treatment strategies in mood disorders. First, we shed light on the complexity of mesocorticolimbic dopamine (DA) responses to stress by discussing two recent studies reporting that optogenetic activation of midbrain DA neurons can induce or reverse depression‐related behaviors. Second, we describe the role of the lateral habenula circuitry in the pathophysiology of depression. Finally, we discuss how the prefrontal cortex controls limbic and neuromodulatory circuits in mood disorders .     

Sex, stress, and mood disorders: at the intersection of adrenal and gonadal hormones

The risk for neuropsychiatric illnesses has a strong sex bias, and for major depressive disorder (MDD), females show a more than 2-fold greater risk compared to males. Such mood disorders are commonly associated with a dysregulation of the hypothalamo-pituitary-adrenal (HPA) axis. Thus, sex differences in the incidence of MDD may be related with the levels of gonadal steroid hormone in adulthood or during early development as well as with the sex differences in HPA axis function. In rodents, organizational and activational effects of gonadal steroid hormones have been described for the regulation of HPA axis function and, if consistent with humans, this may underlie the increased risk of mood disorders in women. Other developmental factors, such as prenatal stress and prenatal overexposure to glucocorticoids can also impact behaviors and neuroendocrine responses to stress in adulthood and these effects are also reported to occur with sex differences. Similarly, in humans, the clinical benefits of antidepressants are associated with the normalization of the dysregulated HPA axis, and genetic polymorphisms have been found in some genes involved in controlling the stress response. This review examines some potential factors contributing to the sex difference in the risk of affective disorders with a focus on adrenal and gonadal hormones as potential modulators. Genetic and environmental factors that contribute to individual risk for affective disorders are also described. Ultimately, future treatment strategies for depression should consider all of these biological elements in their design.     

The role of vitamin C in stress-related disorders

Stress-related disorders, such as depression and anxiety, present marked deficits in behavioral and cognitive functions related to reward. These are highly prevalent disabling conditions with high social and economic costs. Furthermore, a significant percentage of affected individuals cannot benefit from clinical intervention, opening space for new treatments. Although the literature data have reported limited and variable results regarding oxidative stress-related endpoints in stress-related disorders, the possible neuroprotective effect of antioxidant compounds, such as ascorbic acid (vitamin C), emerges as a possible therapy strategy for psychiatric diseases. Here, we briefly present background information on biological activity of ascorbic acid, particularly functions related to the CNS homeostasis. Additionaly, we reviewed the available information on the role of ascorbic acid in stress-related diseases, focusing on supplementation and depletion studies. The vitamin C deficiency is widely associated to stress-related diseases. Although the efficacy of this vitamin in anxiety spectrum disorders is less stablished, several studies showed that ascorbic acid supplementation produces antidepressant effect and improves mood. Interestingly, the modulation of monoaminergic and glutamatergic neurotransmitter systems is postulated as pivotal target for the antidepressant and anxiolytic effects of this vitamin. Given that ascorbic acid supplementation produces fast therapeutic response with low toxicity and high tolerance, it can be considered as a putative candidate for the treatment of mood and anxiety disorders, especially those that are refractory to current treatments. Herein, the literature was reviewed considering the potential use of ascorbic acid as an adjuvant in the treatment of anxiety and depression.     

Extraversion is linked to volume of the orbitofrontal cortex and amygdala

Neuroticism and extraversion are personality factors associated with the vulnerability for developing depression and anxiety disorders, and are possibly differentially related to brain structures implicated in the processing of emotional information and the generation of mood states. To date, studies on brain morphology mainly focused on neuroticism, a dimension primarily related to negative affect, yielding conflicting findings concerning the association with personality, partially due to methodological issues and variable population samples under study. Recently, extraversion, a dimension primarily related to positive affect, has been repeatedly inversely related to with symptoms of depression and anxiety disorders. In the present study, high resolution structural T1-weighted MR images of 65 healthy adults were processed using an optimized Voxel Based Morphometry (VBM) approach. Multiple regression analyses were performed to test for associations of neuroticism and extraversion with prefrontal and subcortical volumes. Orbitofrontal and right amygdala volume were both positively related to extraversion. Extraversion was differentially related to volume of the anterior cingulate cortex in males (positive) and females (negative). Neuroticism scores did not significantly correlate with these brain regions. As extraversion is regarded a protective factor for developing anxiety disorders and depression and has been related to the generation of positive affect, the present results indicate that the reduced likelihood of developing affective disorders in individuals high on extraversion is related to modulation of emotion processing through the orbitofrontal cortex and the amygdala.     

Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders

Neuroimaging technology has provided unprecedented opportunities for elucidating the anatomical correlates of major depression. The knowledge gained from imaging research and from the postmortem studies that have been guided by imaging data is catalyzing a paradigm shift in which primary mood disorders are conceptualized as illnesses that involve abnormalities of brain structure, as well as of brain function. These data suggest specific hypotheses regarding the neural mechanisms underlying pathological emotional processing in mood disorders. They particularly support a role for dysfunction within the prefrontal cortical and striatal systems that normally modulate limbic and brainstem structures involved in mediating emotional behavior in the pathogenesis of depressive symptoms.     

Impact of BDNF Val66Met and 5-HTTLPR polymorphism variants on neural substrates related to sadness and executive function

The brain-derived neurotrophic factor (BDNF) Val(66) Met allelic variation is linked to both the occurrence of mood disorders and antidepressant response. These findings are not universally observed, and the mechanism by which this variation results in increased risk for mood disorders is unclear. One possible explanation is an epistatic relationship with other neurotransmitter genes associated with depression risk, such as the serotonin-transporter-linked promotor region (5-HTTLPR). Further, it is unclear how the coexistence of the BDNF Met and 5-HTTLPR S variants affects the function of the affective and cognitive control systems. To address this question, we conducted a functional magnetic resonance imaging (fMRI) study in 38 older adults (20 healthy and 18 remitted from major depressive disorder). Subjects performed an emotional oddball task during the fMRI scan and provided blood samples for genotyping. Our analyses examined the relationship between genotypes and brain activation to sad distractors and attentional targets. We found that 5-HTTLPR S allele carriers exhibited stronger activation in the amygdala in response to sad distractors, whereas BDNF Met carriers exhibited increased activation to sad stimuli but decreased activation to attentional targets in the dorsolateral prefrontal and dorsomedial prefrontal cortices. In addition, subjects with both the S allele and Met allele genes exhibited increased activation to sad stimuli in the subgenual cingulate and posterior cingulate. Our results indicate that the Met allele alone or in combination with 5-HTTLPR S allele may increase reactivity to sad stimuli, which might represent a neural mechanism underlying increased depression vulnerability.     

Epigenetic regulation in psychiatric disorders

Many neurological and most psychiatric disorders are not due to mutations in a single gene; rather, they involve molecular disturbances entailing multiple genes and signals that control their expression. Recent research has demonstrated that complex 'epigenetic' mechanisms, which regulate gene activity without altering the DNA code, have long-lasting effects within mature neurons. This review summarizes recent evidence for the existence of sustained epigenetic mechanisms of gene regulation in neurons that have been implicated in the regulation of complex behaviour, including abnormalities in several psychiatric disorders such as depression, drug addiction and schizophrenia.     

Assessing the feasibility of linkage disequilibrium methods for mapping complex traits: an initial screen for bipolar disorder loci on chromosome 18.

Linkage disequilibrium (LD) analysis has been promoted as a method of mapping disease genes, particularly in isolated populations, but has not yet been used for genome-screening studies of complex disorders. We present results of a study to investigate the feasibility of LD methods for genome screening using a sample of individuals affected with severe bipolar mood disorder (BP-I), from an isolated population of the Costa Rican central valley. Forty-eight patients with BP-I were genotyped for markers spaced at approximately 6-cM intervals across chromosome 18. Chromosome 18 was chosen because a previous genome-screening linkage study of two Costa Rican families had suggested a BP-I locus on this chromosome. Results of the current study suggest that LD methods will be useful for mapping BP-I in a larger sample. The results also support previously reported possible localizations (obtained from a separate collection of patients) of BP-I-susceptibility genes at two distinct sites on this chromosome. Current limitations of LD screening for identifying loci for complex traits are discussed, and recommendations are made for future research with these methods.     

Premenstrual mood changes in affective disorders.

Mood changes during the premenstrual phase have been the focus of considerable research in recent years. Although there has been significant progress in the diagnosis and etiology of major affective disorders, the relation between these disorders and menstrual changes remains controversial. There have been contradictory reports and speculations on women''s susceptibility to psychiatric disorders during the premenstrual phase. We describe three patients with a history of mood swings associated with menstruation in whom major affective disorders developed, necessitating intensive psychiatric treatment or admission to hospital. Among women who manifest menstrual mood changes, manic-depressive illness may develop only in a subgroup with genetic predisposition. In such cases the possibility of postpartum mania or depression should be kept in mind in follow-up.     

Genetic and epigenetic factors associated with depression: An updated overview

Depression is a complex psychiatric disturbance involving many environmental, genetic, and epigenetic factors. Until now, genetic, and non-genetic studies are still on the way to understanding the complex mechanism of this disease, and there are still many questions that have not yet been answered. Depression includes a large spectrum of heterogeneous symptoms correlated to the deficit of a range of psychological, cognitive, and emotional processes, and it affects various age groups. It is classified into several types according to the severity of symptoms, time of occurrence, and time. Following the World Health Organization (WHO), depression attacks near 350 million persons globally. Several factors overlap in causing depression, including genetic and epigenetic factors, environmental conditions, various stresses, lack of some nutrients to which people are exposed, and excessive stress and abuse in childhood. This study included conducting surveys on depression and new treatment trends based on epigenetic factors associated with the occurrence of the disease. Epigenetic factors provide a completely novel dimension to therapeutic approaches as most diseases are not monogenic, and it is likely that the environment has a significant contribution. Epigenetic inheritance is included in many mental and psychiatric disorders such as depression. In general, epigenetic modifications could be summarized in 3 major points: DNA methylation, histone modification, and non-mediated regulation of RNA (ncRNA). This study also describes some genes associated with one of the depressive disorders using bioinformatics tools and gene bank and had the genes: SLC6A4, COMT, TPH2, FKBP5, MDD1, HTR2A, and MDD2. As in this study, the awareness of Saudi society about depression and its genetic and non-genetic causes was estimated. The results showed that an encouraging percentage of more than half of the research sample possessed correct information about this disorder.     

Increased Neural Cell Adhesion Molecule in the CSF of Patients with Mood Disorder

Abstract: Neural cell adhesion molecule (N-CAM) is involved in cell-cell interactions during synaptogenesis, morphogenesis, and plasticity of the nervous system. Disturbances in synaptic restructuring and neural plasticity may be related to the pathogenesis of several neuropsychiatric diseases, including mood disorders and schizophrenia. Disturbances in brain cellular function may alter concentrations of N-CAM in the CSF. Soluble human N-CAM proteins are detectable in the CSF but are minor constituents of serum. We have recently found an increase in N-CAM content in the CSF of patients with schizophrenia. Although the pathogenesis of both schizophrenia and mood disorders is unknown, ventriculomegaly, decreased temporal lobe volume, and subcortical structural abnormalities have been reported for both disorders. We have therefore measured N-CAM concentrations in the CSF of patients with mood disorder. There were significant increases in amounts of N-CAM immunoreactive proteins, primarily the 120-kDa band, in the CSF of psychiatric inpatients with bipolar mood disorder type I and recurrent unipolar major depression. There were no differences in bipolar mood disorder type II patients as compared with normals. There were no significant effects of medication treatment on N-CAM concentrations. It is possible that the 120-kDa N-CAM band present in the CSF is derived from CNS cells as a secreted soluble N-CAM isoform. Our results suggest the possibility of latent state-related disturbances in N-CAM cellular function, i.e., residue from a previous episode, or abnormal N-CAM turnover in the CNS of patients with mood disorder.     

T3111C CLOCK SINGLE NUCLEOTIDE POLYMORPHISM AND MOOD DISORDERS: A META-ANALYSIS

It has been hypothesized that abnormalities in the molecular clock underlie the development of mood disorders, in the direction of higher prevalence in individuals with a reduced flexibility to adapt to important regulations of mood in response to changes in seasons, stress levels, sleep schedules, and time zones. In particular, a T/C change (rs1801260) at the 3111 position of the circadian locomotor output cycles kaput (CLOCK) gene has been explored in psychiatry disorders. This meta-analysis has been undertaken to investigate the association between rs1801260 and both mood disorders and depression severity, shedding light on previous controversial results and providing better power to detect smaller effect sizes. PubMed and ISI databases were searched for studies focused on the association between rs1801260 and mood disorders spectrum. Quality of studies was assessed. We found no association between CLOCK genotypes and mood disorders, even when we separately investigated ethnical homogeneous or unipolar disorder studies. No association was found regarding severity of depression either. The methodological quality of the studies has been found to be medium-high. Our meta-analysis shows no association between rs1801260 and mood disorders (as a complete phenotype) or depression severity and points out the necessity of further research in order to better understand the underlying biological machinery of circadian dysfunction in subjects affected by mood disorders. (Author correspondence: alessandro.serretti@unibo.it)     

Glutamate receptor genes

Schizophrenia, depression, and bipolar disorder are three major neuropsychiatric disorders that are among the leading causes of disability and have enormous economic impacts on our society. Although several neurotransmitter systems have been suggested to play a role in their etiology, we still have not identified any gene or molecular mechanism that might lead to genetic susceptibility for or protection against these neuropsychiatric disorders. The glutamatergic receptor system, and in particular the N-methyl-D-aspartate (NMDA) receptor complex, has long been implicated in their etiology. I review the current molecular evidence that supports a critical role for the glutamatergic receptor system in schizophrenia and the potential involvement of this receptor system in depression and bipolar disorder. It is likely that mutations in glutamate receptor genes might alter the risk of developing one of these disorders. Potential future research directions designed to identify these mutations and to elucidate their effect on mental health will be discussed.     

The association between mild geriatric depression and reproductive history--a Darwinian approach

The well described trend of population ageing results in a dramatic increase in the number of elderly, reporting symptoms of depression, the most common mood disorder today. Various intrinsic and extrinsic factors are discussed to be responsible for this increase of mood disorders. In the present study the association patterns between mild geriatric depression and the individual reproductive history are analyzed. 264 subjects, 167 females and 97 males, ageing between 60 and 95 years (mean 72.3, SD 8.1 yrs) were enrolled in the present study. The prevalence of depression was tested by mean of the geriatric depression scale (GDS), additionally reproductive history was documented. It turned out, that with increasing number of offspring the depression score decreased. Childless women exhibited the highest prevalence of mild depression and the highest mean depression score. These association patterns between reproductive history and depressive disorders during old age were discussed by means of Darwinian psychiatry. A low number of offspring or childlessness and a lack of social networks for support are new in the evolutionary history of Homo sapiens. Mild geriatric depression may be interpreted as a result of a mismatch or dysregulation because the recent social environment of elderly is completely different from that in which Homo sapiens evolved. The occurrence of geriatric depression may be an adaptation to this new situation.     

Association of polyaminergic loci with anxiety, mood disorders, and attempted suicide

Background

The polyamine system has been implicated in a number of psychiatric conditions, which display both alterations in polyamine levels and altered expression of genes related to polyamine metabolism. Studies have identified associations between genetic variants in spermidine/spermine N1-acetyltransferase (SAT1) and both anxiety and suicide, and several polymorphisms appear to play important roles in determining gene expression.

Methodology/Principal Findings

We genotyped 63 polymorphisms, spread across four polyaminergic genes (SAT1, spermine synthase (SMS), spermine oxidase (SMOX), and ornithine aminotransferase like-1 (OATL1)), in 1255 French-Canadian individuals who have been followed longitudinally for 22 years. We assessed univariate associations with anxiety, mood disorders, and attempted suicide, as assessed during early adulthood. We also investigated the involvement of gene-environment interactions in terms of childhood abuse, and assessed internalizing and externalizing symptoms as endophenotypes mediating these interactions. Overall, each gene was associated with at least one main outcome: anxiety (SAT1, SMS), mood disorders (SAT1, SMOX), and suicide attempts (SAT1, OATL1). Several SAT1 polymorphisms displayed disease-specific risk alleles, and polymorphisms in this gene were involved in gene-gene interactions with SMS to confer risk for anxiety disorders, as well as gene-environment interactions between childhood physical abuse and mood disorders. Externalizing behaviors demonstrated significant mediation with regards to the association between OATL1 and attempted suicide, however there was no evidence that externalizing or internalizing behaviors were appropriate endophenotypes to explain the associations with mood or anxiety disorders. Finally, childhood sexual abuse did not demonstrate mediating influences on any of our outcomes.

Conclusions/Significance

These results demonstrate that genetic variants in polyaminergic genes are associated with psychiatric conditions, each of which involves a set of separate and distinct risk alleles. As several of these polymorphisms are associated with gene expression, these findings may provide mechanisms to explain the alterations in polyamine metabolism which have been observed in psychiatric disorders.     

Gene interactions in depression: pathways out of darkness

Mood disorders, including major depressive disorder and bipolar disorder, are influenced by both genetic and environmental factors. Hypotheses about the neurobiology of mood disorders have been postulated and putatively associated genes identified. Recently, the immune-related gene encoding purinergic receptor P2X, ligand-gated ion channel, 7 (P2RX7) has been genetically associated with major depressive disorder and bipolar disorder. New candidate genes and emerging gene networks and pathways involved in the aetiology of mood disorders point to a major role for neuronal survival and the adaptive immune systems.     

Finding the intracellular signaling pathways affected by mood disorder treatments

Postmortem and brain imaging studies have revealed structural changes and cell loss in cortico-limbic regions of the brain in bipolar disorder and major depression. Consistent with these findings, mood stabilizers such as lithium ion and valproic acid, which are used to treat bipolar disorder, as well as antidepressants and electroconvulsive therapy have recently been shown to activate interconnected intracellular signaling pathways that promote neurogenesis and synaptic plasticity. These insights should assist in understanding the pathophysiology of severe mood disorders as well as aid in the development of more effective treatments.     

Deducing corticotropin-releasing hormone receptor type 1 signaling networks from gene expression data by usage of genetic algorithms and graphical Gaussian models

Background  

Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is a hallmark of complex and multifactorial psychiatric diseases such as anxiety and mood disorders. About 50-60% of patients with major depression show HPA axis dysfunction, i.e. hyperactivity and impaired negative feedback regulation. The neuropeptide corticotropin-releasing hormone (CRH) and its receptor type 1 (CRHR1) are key regulators of this neuroendocrine stress axis. Therefore, we analyzed CRH/CRHR1-dependent gene expression data obtained from the pituitary corticotrope cell line AtT-20, a well-established in vitro model for CRHR1-mediated signal transduction. To extract significantly regulated genes from a genome-wide microarray data set and to deduce underlying CRHR1-dependent signaling networks, we combined supervised and unsupervised algorithms.