Cognitive outcome and gamma noise power unrelated to neuregulin 1 and 3 variation in schizophrenia

Background Neuregulins are a family of signalling proteins that orchestrate a broad range of cellular responses. Four genes encoding Neuregulins 1–4 have been identified so far in vertebrates. Among them, Neuregulin 1 and Neuregulin 3 have been reported to contribute to an increased risk for developing schizophrenia. We hypothesized that three specific variants of these genes (rs6994992 and rs3924999 for Neuregulin 1 and rs10748842 for Neuregulin 3) that have been related to this illness may modify information processing capacity in the cortex, which would be reflected in electrophysiological parameters (P3b amplitude or gamma noise power) and/or cognitive performance. Methods We obtained DNA from 31 patients with schizophrenia and 23 healthy controls and analyzed NRG1 rs6994992, NRG1 rs3924999 and NRG3 rs10748842 promoter polymorphisms by allelic discrimination with real-time polymerase chain reaction (PCR). We compared cognitive outcome, P300 amplitude parameters and an electroencephalographic measure of noise power in the gamma band between the groups dichotomized according to genotype. Results Contrary to our hypothesis, we could not detect any significant influence of variation in Neuregulin 1/Neuregulin 3 polymorphisms on cognitive performance or electrophysiological parameters of patients with schizophrenia. Conclusions Despite our findings, we cannot discard that other genetic variants and, more likely, interactions between those variants and with genetic variation related to different pathways may still influence cerebral processing in schizophrenia

Cognitive outcome and gamma noise power unrelated to neuregulin 1 and 3 variation in schizophrenia

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License.[Background]: Neuregulins are a family of signalling proteins that orchestrate a broad range of cellular responses. Four genes encoding Neuregulins 1-4 have been identified so far in vertebrates. Among them, Neuregulin 1 and Neuregulin 3 have been reported to contribute to an increased risk for developing schizophrenia. We hypothesized that three specific variants of these genes (rs6994992 and rs3924999 for Neuregulin 1 and rs10748842 for Neuregulin 3) that have been related to this illness may modify information processing capacity in the cortex, which would be reflected in electrophysiological parameters (P3b amplitude or gamma noise power) and/or cognitive performance. [Methods]: We obtained DNA from 31 patients with schizophrenia and 23 healthy controls and analyzed NRG1 rs6994992, NRG1 rs3924999 and NRG3 rs10748842 promoter polymorphisms by allelic discrimination with real-time polymerase chain reaction (PCR). We compared cognitive outcome, P300 amplitude parameters and an electroencephalographic measure of noise power in the gamma band between the groups dichotomized according to genotype. [Results]: Contrary to our hypothesis, we could not detect any significant influence of variation in Neuregulin 1/Neuregulin 3 polymorphisms on cognitive performance or electrophysiological parameters of patients with schizophrenia. [Conclusions]: Despite our findings, we cannot discard that other genetic variants and, more likely, interactions between those variants and with genetic variation related to different pathways may still influence cerebral processing in schizophrenia.Funding for this study was provided by the Instituto de Salud Carlos III Grants 080017 and 1102203 to VM, Gerencia Regional de Salud de Castilla y León GRS 249/A/08 and 613/A/11, a postdoctoral Marie Curie Intra European Fellowship within the 7th European Commission Framework Programme for Research and Innovation (330156-CODIP) to ÁD, a predoctoral research grant from the Consejería de Educación - Junta de Castilla y León and the European Social Fund to ÁD (EDU/1486/2008) and CC (EDU/1064/2009), a predoctoral scholarship from the University of Salamanca and Santander Bank to VS, and the FIS Grant PI 1000219 to RG.Peer Reviewe

The effect of ANK3 bipolar-risk polymorphisms on the working memory circuitry differs between loci and according to risk-status for bipolar disorder

Polymorphisms at the rs10994336 and rs9804190 loci of the Ankyrin 3 (ANK3) gene have been strongly associated with increased risk for bipolar disorder (BD). However, their potential pathogenetic effect on BD-relevant neural circuits remains unknown. We examined the effect of BD-risk polymorphisms at rs10994336 and rs9804190 on the working memory (WM) circuit using functional magnetic resonance imaging (fMRI) data obtained from euthymic patients with BD (n = 41), their psychiatrically healthy first-degree relatives (n = 25) and unrelated individuals without personal or family history of psychiatric disorders (n = 46) while performing the N-back task. In unrelated healthy individuals, the rs10994336-risk-allele was associated with reduced activation of the ventral visual cortical components of the WM circuit while the rs9804190-risk-allele was associated with inefficient hyperactivation of the prefrontal cortical components of the WM. In patients and their healthy relatives, risk alleles at either loci were associated with hyperactivation in the ventral anterior cingulate cortex. Additionally, Rs9804190-risk-allele carriers with BD evidenced abnormal hyperactivation within the posterior cingulate cortex. This study provides new insights on the neurogenetic correlates of allelic variation at different genome-wide supported BD-risk associated ANK3 loci that support their involvement in BD and highlight the modulatory influence of increased background genetic risk for BD

The effects of a DTNBP1 gene variant on attention networks: an fMRI study

<p>Abstract</p> <p>Background</p> <p>Attention deficits belong to the main cognitive symptoms of schizophrenia and come along with altered neural activity in previously described cerebral networks. Given the high heritability of schizophrenia the question arises if impaired function of these networks is modulated by susceptibility genes and detectable in healthy risk allele carriers.</p> <p>Methods</p> <p>The present event-related fMRI study investigated the effect of the single nucleotide polymorphism (SNP) rs1018381 of the <it>DTNBP1 </it>(dystrobrevin-binding protein 1) gene on brain activity in 80 subjects while performing the attention network test (ANT). In this reaction time task three domains of attention are probed simultaneously: alerting, orienting and executive control of attention.</p> <p>Results</p> <p>Risk allele carriers showed impaired performance in the executive control condition associated with reduced neural activity in the left superior frontal gyrus [Brodmann area (BA) 9]. Risk allele carriers did not show alterations in the alerting and orienting networks.</p> <p>Conclusions</p> <p>BA 9 is a key region of schizophrenia pathology and belongs to a network that has been shown previously to be involved in impaired executive control mechanisms in schizophrenia. Our results identified the impact of <it>DTNBP1 </it>on the development of a specific attention deficit via modulation of a left prefrontal network.</p

The polygenic risk for bipolar disorder influences brain regional function relating to visual and default state processing of emotional information

Genome-wise association studies have identified a number of common single-nucleotide polymorphisms (SNPs), each of small effect, associated with risk to bipolar disorder (BD). Several risk-conferring SNPs have been individually shown to influence regional brain activation thus linking genetic risk for BD to altered brain function. The current study examined whether the polygenic risk score method, which models the cumulative load of all known risk-conferring SNPs, may be useful in the identification of brain regions whose function may be related to the polygenic architecture of BD. We calculated the individual polygenic risk score for BD (PGR-BD) in forty-one patients with the disorder, twenty-five unaffected first-degree relatives and forty-six unrelated healthy controls using the most recent Psychiatric Genomics Consortium data. Functional magnetic resonance imaging was used to define task-related brain activation patterns in response to facial affect and working memory processing. We found significant effects of the PGR-BD score on task-related activation irrespective of diagnostic group. There was a negative association between the PGR-BD score and activation in the visual association cortex during facial affect processing. In contrast, the PGR-BD score was associated with failure to deactivate the ventromedial prefrontal region of the default mode network during working memory processing. These results are consistent with the threshold-liability model of BD, and demonstrate the usefulness of the PGR-BD score in identifying brain functional alternations associated with vulnerability to BD. Additionally, our findings suggest that the polygenic architecture of BD is not regionally confined but impacts on the task-dependent recruitment of multiple brain regions

Effect of the G72 (DAOA) putative risk haplotype on cognitive functions in healthy subjects

<p>Abstract</p> <p>Background</p> <p>In the last years, several susceptibility genes for psychiatric disorders have been identified, among others <it>G72 </it>(also named D-amino acid oxidase activator, DAOA). Typically, the high-risk variant of a vulnerability gene is associated with decreased cognitive functions already in healthy individuals. In a recent study however, a positive effect of the high-risk variant of <it>G72 </it>on verbal working memory was reported. In the present study, we therefore examined the relationship between <it>G72 </it>genotype status and a broad range of cognitive functions in 423 healthy individuals.</p> <p>Methods</p> <p>The <it>G72 </it>carrier status was assessed by the two single nucleotide polymorphisms (SNPs) M23 and M24. Subjects were divided into three risk groups (low, intermediate and high risk).</p> <p>Results</p> <p><it>G72 </it>status influenced a number of cognitive functions, such as verbal working memory, attention, and, at a trend level, spatial working memory and executive functions. Interestingly, the high-risk allele carriers scored better than one or even both other groups.</p> <p>Conclusion</p> <p>Our data show that the putative high-risk haplotype (i.e. homozygote C/C-allele carriers in SNP M23 and homozygote T/T-allele carriers in SNP M24) is in healthy individuals not necessarily associated with worse performance in cognitive functions, but even with better performance in some domains. Further work is required to identify the mechanisms of <it>G72 </it>on brain functions.</p

The relationship between genetic risk variants with brain structure and function in bipolar disorder: A systematic review of genetic-neuroimaging studies

Genetic-neuroimaging paradigms could provide insights regarding the pathophysiology of bipolar disorder (BD). Nevertheless, findings have been inconsistent across studies. A systematic review of gene-imaging studies involving individuals with BD was conducted across electronic major databases from inception until January 9th, 2017. Forty-four studies met eligibility criteria (N=2122 BD participants). Twenty-six gene variants were investigated across candidate gene studies and 4 studies used a genome-wide association approach. Replicated evidence (i.e. in >2 studies) suggests that individuals with BD carrying the BDNF Val66Met risk allele could have reduced hippocampal volumes compared to non-carriers. This review underscores the potential of gene-neuroimaging paradigms to provide mechanistic insights for BD. However, this systematic review found a single replicated finding. Suggestions to improve the reproducibility of this emerging field are provided, including the adoption of a trans-diagnostic approac

Cannabinoid and neuregulin 1 gene interaction as an animal model of increased vulnerability to schizophrenia

Schizophrenia is a severe, chronic and disabling mental disorder with a worldwide prevalence of approximately 1 %. It is a lifelong illness characterized by psychotic symptoms which typically first appear in late adolescence/early adulthood. The symptoms of schizophrenia are usually categorized as positive (hallucinations and delusions), negative (blunted affect and poverty of speech) and cognitive (memory, attention and executive function impairments). Schizophrenia is thought to arise from an interaction between several susceptibility genes and environmental factors, one of them being the use of cannabis, the most widely used illicit drug in the world. Human population studies show that cannabis use is associated with schizophrenia, and it is now well recognised that cannabis use increases the risk of developing schizophrenia by approximately twofold. The reasons for the association between cannabis and schizophrenia remain controversial and different theories have been proposed to explain the nature of this relationship. According to the self-medication hypothesis of schizophrenia, patients with psychotic disorders use cannabis to alleviate aversive symptoms of the disorder or the side effects associated with antipsychotic medications. Other theories posit that cannabis is a component cause contributing to the development of schizophrenia. Supporting this, an increasing body of evidence shows that cannabis use increases the incidence and severity of psychotic symptoms and that cannabis use most frequently precedes the onset of schizophrenia. As a large majority of cannabis users do not develop schizophrenia, a gene-environment interaction appears necessary for the development of the disorder. That is, cannabis use may unmask latent schizophrenia in individuals that have a genetic predisposition to the disorder. Family studies provide strong evidence of a genetic contribution to the aetiology of schizophrenia. Several candidate genes are likely involved in the disorder, but this thesis will specifically focus on the neuregulin 1 (NRG1) gene. NRG1 was first proposed as a schizophrenia susceptibility gene in 2002 and linkage studies have since replicated this association in diverse populations around the world. In addition, changes in expression of Nrg1 isoforms and its receptor ErbB4 have been reported in the brain of schizophrenia patients. NRG1 polymorphism has also been associated with cognitive and behavioural differences in schizophrenia patients compared to healthy individuals. Collectively, NRG1 is now recognized as one of the most promising genes that confer an increased risk of developing schizophrenia. The creation of knockout mice lacking a specific gene offers an exciting new approach in the study of mental disorders. While several mutant mice for Nrg1 and ErbB4 receptor have been developed, this thesis focussed on mice that are heterozygous for the transmembrane domain of the Nrg1 gene (named Nrg1 HET mice). These mice exhibit a schizophrenia-like phenotype including hyperactivity that can be used as a reflection of positive symptoms of schizophrenia. Furthermore, they display impairments in social recognition memory and prepulse inhibition (PPI), a model of attentional deficits observed in schizophrenia patients. In addition, the brains of Nrg1 HET contain fewer functional NMDA receptors and more 5-HT2A receptors than wild type-like (WT) animals which is consistent with the neurotransmitters imbalance observed in schizophrenic patients. The phenotype of Nrg1 HET mice is age-dependent, another aspect that mirror the late adolescent/early adulthood onset of schizophrenia symptoms. The present thesis aimed at developing an animal model of genetic vulnerability to cannabinoid-precipitated schizophrenia by utilising Nrg1 HET mice to observe if these animals show an altered behavioural and neuronal response to cannabinoid exposure. We hypothesise that Nrg1 deficiency will alter the neurobehavioural responses of animals to cannabinoids. The experiments detailed within the first research chapter (Chapter 2) aimed at examining the behavioural effects of an acute exposure to the main psychoactive constituent of cannabis, Δ9-tetrahydrocannabinol (THC), in Nrg1 HET mice using a range of behavioural tests of locomotion, exploration, anxiety and sensorimotor gating. Relative to WT control mice, Nrg1 HET mice were more sensitive to both the locomotor suppressant action of THC, as measured in the open field test, and to the anxiogenic effects of THC in the light-dark test, although the effects in this procedure may be confounded by the drug-free hyperactive phenotype of Nrg1 HET mice. Importantly, Nrg1 HET mice expressed a greater THC-induced enhancement in PPI than WT mice. Taken together, the data presented in Chapter 2 show that a deficiency in a schizophrenia susceptibility gene Nrg1 enhanced the behavioural impact of THC. After having established a link between Nrg1 deficiency and increased sensitivity to the behavioural effects of cannabinoids in Chapter 2, Chapter 3 assessed the neuronal activity underlying the effects of an acute THC exposure on Nrg1 HET mice by using c-Fos immunohistochemistry. In the ventral part of the lateral septum (LSV), THC selectively increased c-Fos expression in Nrg1 HET mice with no corresponding effect being observed in WT mice. In addition, a non-significant trend for THC to promote a greater increase in c-Fos expression in Nrg1 HET mice than WT mice was observed in the central nucleus of the amygdala, the bed nucleus of the stria terminalis and the paraventricular nucleus of the hypothalamus. Consistent with Nrg1 HET mice exhibiting a schizophrenia-related phenotype, these mice expressed greater drug-free levels of c-Fos in the shell of the nucleus accumbens and the LSV. Interestingly, the effects of genotype on c-Fos expression, drug-free or following THC exposure, were only observed when animals experienced behavioural testing prior to perfusion. This suggests that an interaction with stress was necessary for the promotion of these effects. As the risk of developing psychosis in vulnerable individuals increases with the frequency of cannabis use, Chapter 4 assessed the effects of repeated exposure to cannabinoids on Nrg1 HET mice. As THC was not available at the time, the synthetic analogue of THC, CP 55,940, was used in this experiment. Behavioural testing showed that tolerance to CP 55,940-induced hypothermia and locomotor suppression developed more rapidly in Nrg1 HET mice compared to WT mice. On the contrary, tolerance to the anxiogenic-like effect of CP 55,940 in the light-dark test was observed in WT mice, however no such tolerance occurred to this effect in Nrg1 HET mice. Similarly, no tolerance developed to CP 55,940-induced thigmotaxis in Nrg1 HET mice as measured in the open field. For PPI, on the first day of exposure opposite effects were observed, with CP 55,940 treatment facilitating PPI in Nrg1 HET mice and decreasing it in WT mice. However, the differential effect of CP 55,940 on PPI was not maintained with repeated testing as both genotypes became tolerant to the effects of the cannabinoid on sensorimotor gating. In addition, a selective increase in Fos B/ΔFos B expression, a marker of longer-term neuronal changes, was observed in the LSV of Nrg1 HET mice following chronic CP 55,940 exposure, with no corresponding effect seen in WT mice. These results collectively demonstrate that the neuregulin system is involved in the neuroadaptive response to repeated cannabinoid exposure. One of the main schizophrenia endophenotypes observed in human studies are cognitive impairments of higher executive functions. Thus Chapter 5 aimed to develop a procedure to allow evaluation of cannabis-induced working memory deficits in mice. Few studies have investigated the effects of chronic cannabinoid exposure on memory performance and whether tolerance occurs to cannabinoidinduced memory impairment. Here we studied the effects of repeated exposure to THC on spatial memory and the expression of the immediate early gene zif268 in mice. One group of animals were not pre-treated with THC while another group was given 13 daily injections of THC prior to memory training and testing in the Morris water maze. Both groups were administered THC throughout the memory training and testing phases of the experiment. THC decreased spatial memory and reversal learning, even in animals that received the THC pre-treatment and were tolerant to the locomotor suppressant effects of the drug. Zif268 immunoreactivity was reduced in the CA3 of the hippocampus and in the prefrontal cortex only in non pre-treated animals, indicating that while tolerance to the effects of cannabinoids on neuronal activity arose, cannabinoid-promoted memory impairment in these animals persisted even after 24 days of exposure. Taken together these data demonstrate that the spatial memory impairing effects of THC are resistant to tolerance following extended administration of the drug. Such a model could be applied to Nrg1 HET mice in future studies to observe if cannabinoid-induced working memory impairments and the development of tolerance to this effect are altered relative to WT mice. In conclusion, this thesis provides the first evidence that partial deletion of the schizophrenia susceptibility gene Nrg1 modulates the neurobehavioural actions of acutely and chronically administered cannabinoids. Nrg1 HET mice appear more sensitive to the acute neurobehavioural effects of cannabinoids. Notably, acutely administered THC facilitated attentional function by increasing PPI in Nrg1 HET mice. However, with repeated cannabinoid administration this acute benefit was lost. The Nrg1 HET mice displayed a long-lasting anxiogenic profile that was resistant to tolerance. Conversely, Nrg1 HET mice developed tolerance to the locomotor suppressant and hypothermic effects of cannabinoids more rapidly than WT mice, indicating a distorted neuroadaptive response in these animals. Another major finding of this thesis is that the lateral septum appears to be an important brain region dysregulated by cannabinoids in Nrg1 HET mice. Cumulatively, this research highlights the fact that neuregulin 1 and cannabinoid systems appear to interact in the central nervous system. This may ultimately enhance our understanding of how gene-environment interactions are responsible for cannabis-induced development of schizophrenia

WHY SCHIZOPHRENIA GENETICS NEEDS EPIGENETICS: A REVIEW

Schizophrenia (SZ) is a highly heritable disorder, with about 80% of the variance attributable to genetic factors. There is accumulating evidence that both common genetic variants with small effects and rare genetic lesions with large effects determine risk of SZ. As recently shown, thousands of common single nucleotide polymorphisms (SNPs), each with small effect, cumulatively could explain about 30% of the underlying genetic risk of SZ. On the other hand, rare and large copy number variants (CNVs) with high but incomplete penetrance, variable in different individual, could explain about additional 30% of SZ cases. Although these rare CNVs frequently develop de novo, it is not clear whether they affect risk independently or via interaction with a polygenic liability in the background. Finally, the role of environmental risk factors has been well established in SZ. Environmental factors are rarely sufficient to cause SZ independently, but act in parallel or in synergy with the underlying genetic liability. Epigenetic misregulation of the genome and direct CNS injury are probably the main mechanism to mediate prenatal environmental effects (e.g., viruses, ethanol, or nutritional deficiency) whereas postnatal risk factors (e.g., stress, urbanicity, cannabis use) may also affect risk via usebased potentiation of vulnerable CNS pathways implicated in SZ. In this review, we outline a general theoretical background of epigenetic mechanisms involved in GxE interactions, and then discuss epigenetic and neurodevelopmental features of SZ based on available information from genetics, epigenetics, epidemiology, neuroscience, and clinical research. We argue that epigenetic model of SZ provides a framework to integrate a variety of diverse empirical data into a powerful etiopathogenetic synthesis. The promising future of this model is the possibility to develop truly specific prevention and treatment strategies for SZ