Gene expression profiling in schizophrenia and related mental disorders.

The etiology and pathophysiology of schizophrenia and related mental disorders such as bipolar disorder and major depression remain largely unclear. Recent advances in mRNA profiling techniques made it possible to perform genome-wide gene expression analysis in a hypothesis-free manner. It was thought that this large-scale data mining approach would reveal unknown molecular cascades involved in mental disorders. Contrary to this initial expectation, however, DNA microarray results in psychiatric fields have been notoriously discordant. Here the authors review the findings of DNA microarray analysis, focusing on systematic gene expression changes in schizophrenia, as well as alterations in the expression of specific genes, that have been reported and replicated. The authors also address the probable causes for the discordance among studies, possible ways to solve the problem, and their preferred approach for data interpretation.     

Correlation analysis between genome-wide expression profiles and cytoarchitectural abnormalities in the prefrontal cortex of psychiatric disorders

Cytoarchitectural abnormalities have been described in the prefrontal cortex of subjects with schizophrenia, bipolar disorder and depression. However, little is known about the gene expression profiles associated with these abnormalities. Genome-wide expression profiling technology provides an unbiased approach to identifying candidate genes and biological processes that may be associated with complex biological traits such as cytoarchitecture. In this study, we explored expression profiles associated with the abnormalities by using publicly available microarray metadata and cytoarchitectural data from post-mortem samples of the frontal cortex from 54 subjects (schizophrenia, n=14; bipolar disorder, n=13; depression, n=12 and controls n=15). Correlation analysis between genome-wide expression levels and cytoarchitectural traits revealed that 818 genes were significantly correlated with a decrease in the number of perineuronal oligodendrocytes across all subjects. A total of 600 genes were significantly correlated with a decrease in density of calbindin-positive interneurons across all subjects. Multiple biological processes including cellular metabolism, central nervous system development, cell motility and programmed cell death were significantly overrepresented in both correlated gene lists. These findings may provide novel insights into the molecular mechanisms that underlie the cytoarchitectural abnormalities of perineuronal oligodendrocytes and calbindin-containing GABAergic interneurons in the prefrontal cortex of the major psychiatric disorders.     

Reduced expression of human endogenous retrovirus (HERV)-W GAG protein in the cingulate gyrus and hippocampus in schizophrenia,bipolar disorder,and depression

Summary The human endogenous retrovirus (HERV)-W multicopy family was identified in human DNA from the previously characterized multiple sclerosis associated retroviral element (MSRV). Upregulation of the HERV-W POL has been reported in cerebrospinal fluid of patients with schizophrenia. The expression of capsid (GAG) protein of HERV-W was studied by immunohistochemistry and western blotting in postmortem brain tissue of the anterior cingulate cortex and hippocampal formation of normal controls and of patients with schizophrenia, bipolar disorder and major depression. A physiological expression of GAG protein was detected in neurons as well as astroglial cells in normal brain both in the anterior cingulate cortex and in the hippocampal formation. There was a statistically significant reduction of this expression in neurons and astroglial cells in brains from individuals with schizophrenia, major depression, and bipolar disorder. The results from the present study confirm that GAG protein encoded by the HERV-W multicopy gene family is expressed in cells of the central nervous system under normal conditions. Our findings of a cell type-, brain region- and disease-specific reduced expression in schizophrenia, major depression, and bipolar disorder are compatible with a pathophysiological role of HERVs in human brain disorders. The causes and biological consequences of this differential regulation will be the subject of further investigations.     

Microarray screening of lymphocyte gene expression differences in a multiplex schizophrenia pedigree

In order to help prioritize the selection of candidate genes and to study possible trait and not state related changes in gene expression, we compared lymphocytic gene expression patterns of five individual family members with schizophrenia and nine unaffected individuals from a large multiplex high density pedigree. We screened gene expression by microarray consisting of 1128 brain focused genes. Three criteria for selection of microarray gene differences between schizophrenia and unaffected family members were employed: a significant t-test, expression in a majority of subjects, and fold change magnitude. Gene expression levels were significantly different for nine genes between individuals with schizophrenia compared to unaffected controls, and two genes were validated by real-time PCR. The expression of the neuropeptide Y receptor Y1 gene (NPY1R localized at 4q31.3-q32) and the human guanine nucleotide-binding regulatory protein Go-alpha (GNAO1 localized at 16q13) was significantly decreased in individuals with schizophrenia compared to unaffected family controls by microarray and real-time PCR. The cytosolic malate dehydrogenase gene (MDH1 localized at 2p13.3) was also significantly increased by microarray analysis and showed a trend for increase by real-time PCR. The significant genes are discussed in terms of proximity to linkage regions, prior association studies of schizophrenia, and other reports of microarray screening of schizophrenia tissue. Evidence from these studies taken together with the present study suggests critical pathways in schizophrenia may be studied in peripheral tissue as part of the strategy in functional genomic convergence. This preliminary study needs to be repeated by screening a larger set of genes in additional families with schizophrenia. The present study offers support for examination of gene expression patterns using lymphocytic RNA for complex neuropsychiatric disorders from large cohorts of patients.     

Genetic and disorder-specific aspects of resting state EEG abnormalities in schizophrenia

We evaluated whether abnormal frequency composition of the resting state electroencephalogram (EEG) in schizophrenia was associated with genetic liability for the disorder by studying first-degree biological relatives of schizophrenia patients. The study included a data-driven method for defining EEG frequency components and determined the specificity of resting state EEG frequency abnormalities by assessing schizophrenia patients, bipolar disorder patients, and relatives of both patient groups. Schizophrenia patients and their relatives, but not bipolar patients or their relatives, exhibited increased high-frequency activity (beta) providing evidence for disturbances in resting state brain activity being specific to genetic liability for schizophrenia. Schizophrenia patients exhibited augmented low-frequency EEG activity (delta, theta), while bipolar disorder patients and the 2 groups of relatives generally failed to manifest similar low-frequency EEG abnormalities. The Val(158)Met polymorphism for the catechol-O-methyl transferase (COMT) gene was most strongly associated with delta and theta activity in schizophrenia patients. Met homozygote schizophrenia patients exhibited augmented activity for the 2 low-frequency bands compared with control subjects. Excessive high-frequency EEG activity over frontal brain regions may serve as an endophenotype that reflects cortical expression of genetic vulnerability for schizophrenia. Low-frequency resting state EEG anomalies in schizophrenia may relate to disorder-specific pathophysiology in schizophrenia and the influence of the COMT gene on tonic dopamanergic function.     

Neurocognitive allied phenotypes for schizophrenia and bipolar disorder

Psychiatric disorders are genetically complex and represent the end product of multiple biological and social factors. Links between genes and disorder-related abnormalities can be effectively captured via assessment of phenotypes that are both associated with genetic effects and potentially contributory to behavioral abnormalities. Identifying intermediate or allied phenotypes as a strategy for clarifying genetic contributions to disorders has been successful in other areas of medicine and is a promising strategy for identifying susceptibility genes in complex psychiatric disorders. There is growing evidence that schizophrenia and bipolar disorder, rather than being wholly distinct disorders, share genetic risk at several loci. Further, there is growing evidence of similarity in the pattern of cognitive and neurobiological deficits in these groups, which may be the result of the effects of these common genetic factors. This review was undertaken to identify patterns of performance on neurocognitive and affective tasks across probands with schizophrenia and bipolar disorder as well as unaffected family members, which warrant further investigation as potential intermediate trait markers. Available evidence indicates that measures of attention regulation, working memory, episodic memory, and emotion processing offer potential for identifying shared and illness-specific allied neurocognitive phenotypes for schizophrenia and bipolar disorder. However, very few studies have evaluated neurocognitive dimensions in bipolar probands or their unaffected relatives, and much work in this area is needed.     

Phase prodromale du trouble bipolaire

The prodromal phase is generally described as a subsyndromal stage preceding the disease onset. The characterization of such phase founds its main purpose in secondary prevention. Up to now, clinical research relating to this topic in mental health has primarily focus on schizophrenic disorders. Over the last years, some studies have applied similar methods in order to characterize a preclinical phase in bipolar disorders. In spite of the fact that this strategy appears less adequate in bipolar disorders, these studies have demonstrated the existence of prodromal signs in a majority of patients. However, these features appear for the moment neither sufficiently characteristic, nor sufficiently specific to allow the construction of suitable assessment instruments, or to suggest precise guidelines in the management of these subjects. Also, these prodromal features show considerable overlap with other psychiatric disorders, especially attention-deficit hyperactivity disorder (ADHD) and schizophrenia Interestingly, a limited number of studies have looked at the number of patients considered in a prodromal phase of schizophrenia which later developed a bipolar disorder and reported substantial proportions of subjects in this case, further highlighting the obvious bias in favor of schizophrenia in the actual prevention politics. In order to identify potential candidates at a prodromal phase of bipolar disorders that could benefit from early intervention, studies have relied on both high genetic risk and symptoms at the boundary of the actual classification. However, even within such approach, pharmacological treatments have not proven obvious advantage in terms of prevention. It is suggested that adopting a more longitudinal vision of the disease and, given the mean age of onset of bipolar disorder and a fortiori of its prodromal phase, a more developmental perspective of individuals, could help lowering the confusion in this field ; Also, given the considerable overlap in prodromal features between different psychiatric disorders, early detection programs could benefit from implementing approach open to multiple diseases assessment, rather than hyper-specialization in a specific disorder.     

Genetic models of schizophrenia and bipolar disorder

Abstract Schizophrenia and affective disorder have been considered to be nosologically and etiologically distinct disorders. This postulate is challenged by progress in new biological research. Both disorders are strongly influenced by genetic factors; thus genetic research is a main contributor to this discussion. We review current evidence of the genetic relationship between schizophrenia and affective disorders, mainly bipolar disorder (the various genetic research methods have been particularly applied to bipolar disorder). Recent family and twin studies reveal a growing consistency in demonstrating cosegregation between both disorders which is difficult to detect with certainty given the low base rates. Systematic molecular genetic search for specific genes impacting on either disorder has now identified one gene which is apparently involved in both disorders (G72/G30); other candidate genes reveal some evidence to present as susceptibility genes with very modest effects for each of both disorders, although not consistently so (e. g., COMT, BDNF). There is room for speculation about other common susceptibility genes, given the overlap between candidate regions for schizophrenia and those for bipolar disorder emerging from linkage studies.     

Psychosis endophenotypes in schizophrenia and bipolar disorder

Recent studies provide considerable evidence that schizophrenia and bipolar disorder may share overlapping etiologic determinants. Identifying disease-related genetic effects is a major focus in schizophrenia and bipolar disorder research, with implications for clarifying diagnosis and developing specific treatments for various impairments in these 2 disorders. Efforts have been multifaceted, with the ultimate goal of describing causal paths from specific genetic variants, to changes in neuronal functioning, and to behavioral and functional impairments. Parallel efforts have identified and refined several alternative phenotypes that are stable, heritable, some with known biological substrates, and are associated with psychosis liability. These alternative phenotypes are likely to aid search for liability genes in schizophrenia and bipolar disorders and likely to be informative regarding the extent to which the 2 disorders share etio-pathophysiology.     

Dysregulation of glutamate carboxypeptidase II in psychiatric disease

Experimental evidence is beginning to converge on an important role for dysregulation of glutamate carboxypeptidase II (GCPII) in schizophrenia. The goal of this study was to determine GCPII levels in postmortem brain specimens of patients with schizophrenia, bipolar disorder or unipolar depression and age-matched control subjects. We used N-[N-(S)-1,3-dicarboxypropyl]carbamoyl]-S-3-[(125)I]iodo-l-tyrosine ([(125)I]DCIT), a high-affinity radioligand for GCPII, to probe for GCPII expression in prefrontal cortex (PFC) and mesial temporal lobe, two brain regions implicated in the pathophysiology of schizophrenia. We found that GCPII levels measured by [(125)I]DCIT quantitative autoradiography were significantly lower in the PFC and entorhinal cortex in patients with schizophrenia compared to age-matched controls. Patients with bipolar disorder also expressed significantly lower GCPII levels in PFC than controls. The decrease in [(125)I]DCIT binding in schizophrenia and bipolar disorder remained significant after adjusting for drug abuse. A significant difference in GCPII levels was also observed between schizophrenia relative to bipolar disorder and depressed subjects in the hippocampus-stratum lucidum and between schizophrenia and bipolar in the CA2 region of the hippocampus, with bipolar and depressed subjects expressing higher levels of GCPII than subjects with schizophrenia. These differences in hippocampal GCPII levels may implicate differences in the etiologies of these mental disorders. In summary, this study demonstrates a regional dysregulation of GCPII expression in the brain of patients with schizophrenia and other psychiatric disorders and supports a hypoglutamatergic state of the former illness. GCPII may represent a viable therapeutic target for intervention in psychiatric disease.     

Role of immunological factors in the pathophysiology and diagnosis of bipolar disorder: Comparison with schizophrenia

Several lines of evidence point to the key role of neurobiological mechanisms and shared genetic background in schizophrenia and bipolar disorder. For both disorders, neurodevelopmental and neurodegenerative processes have been postulated to be relevant for the pathogenesis as well as dysregulation of immuno‐inflammatory pathways. Inflammation is a complex biological response to harmful stimuli and it is mediated by cytokines cascades, cellular immune responses, oxidative factors and hormone regulation. Cytokines, in particular, are supposed to play a critical role in infectious and inflammatory processes, mediating the cross‐talk between the brain and the immune system; they also possibly contribute to the development of the central nervous system. From this perspective, even though mixed results have been reported, it seems that both schizophrenia and bipolar disorder are associated with an imbalance in inflammatory cytokines; in fact, some of these could represent biological markers of illness and could be possible targets for pharmacological treatments. In light of these considerations, the purpose of the present paper was to provide a comprehensive and critical review of the existing literature about immunological abnormalities in bipolar disorder with particular attention to the similarities and differences with schizophrenia.     

Decreased thalamic expression of the homeobox gene DLX1 in psychosis

CONTEXT: A shared vulnerability to develop psychosis can be related to abnormalities in thalamic circuits in schizophrenia and bipolar disorder and could be a genetic link between these disorders. Homeobox genes involved in development and differentiation of the brain could play an important role in these disorders. OBJECTIVE: To determine whether patients with schizophrenia and bipolar disorder have different thalamic expression patterns of 2 homeobox genes, DLX1 and SHOX2 (alias OG12X or SHOT) compared with psychiatric and nonpsychiatric control subjects. DESIGN: Postmortem sections containing the thalamic mediodorsal nucleus were subjected to in situ hybridization with mouse Dlx1 and human SHOX2 RNA probes. The number of both DLX1- and SHOX2-positive neurons relative to Nissl-stained neurons was estimated in systematic randomly sampled volume probes.Patients Fifteen patients with schizophrenia, 15 with bipolar disorder with or without history of psychosis, 15 with major depressive disorder, and 15 nonpsychiatric controls from the Stanley Foundation Brain Bank. MAIN OUTCOME MEASURE: Relative numbers of DLX1- and SHOX2-positive neurons in patients with schizophrenia and bipolar disorder with history of psychosis compared with psychiatric and nonpsychiatric controls. RESULTS: Patients with a history of psychosis showed significantly decreased relative numbers of DLX1-positive neurons compared with patients without history of psychosis and nonpsychiatric controls (P =.02), whereas no differences could be found in relative numbers of SHOX2-positive neurons (P>.15). Results were obtained blind to diagnosis, symptoms, or any other variable except hemisphere. CONCLUSION: Decreased thalamic expression of DLX1 in schizophrenia and bipolar disorder with psychosis suggests shared genetic deficits in expression of this homeobox gene.     

Are some genetic risk factors common to schizophrenia, bipolar disorder and depression? evidence fromDISC1, GRIK4 andNRG1

Depression is common in patients with schizophrenia and it is well established from family studies that rates of depression are increased among relatives of probands with schizophrenia, making it likely that the phenotypes described under the categories of affective and non-affective psychoses share some genetic risk factors. Family linkage studies have identified several chromosomal regions likely to contain risk genes for schizophrenia and bipolar disorder, suggesting common susceptibility loci. Candidate gene association studies have provided further evidence to suggest that some genes including two of the most studied candidates, Disrupted in Schizophrenia 1 (DISC1) and Neuregulin 1 (NRG1) may be involved in both types of psychosis. We have recently identified another strong candidate for a role in both schizophrenia and affective disorders, GRIK4 a glutamate receptor mapped to chromosome 11q23 [Glutamate Receptor, Ionotropic, Kainate, type 4]. This gene is disrupted by a translocation breakpoint in a patient with schizophrenia, and case control studies show significant association of GRIK4 with both schizophrenia and bipolar disorder. Identifying genes implicated in the psychoses may eventually provide the basis for classification based on biology rather than symptoms, and suggest novel treatment strategies for these complex brain disorders.     

N-methyl-D-aspartate receptor NR2B subunit gene GRIN2B in schizophrenia and bipolar disorder: Polymorphisms and mRNA levels

The NR2B protein is a critical structural and functional subunit of the NMDA glutamate receptor. The glutamate neurotransmitter system has been implicated in psychosis and schizophrenia, and so we looked for genetic association and measured gene expression in human DNA and brain samples, respectively, of the GRIN2B gene that codes for the NR2B protein. We tested three genetic polymorphisms: G-200T (5'UTR), A5806C and T5988C (both 3'UTR) in 180 matched schizophrenia case-control pairs, 86 schizophrenia nuclear family trios, and 318 bipolar disorder trios (of which 158 probands had psychotic symptoms). We measured brain GRIN2B mRNA levels in schizophrenia, bipolar disorder and unaffected controls (n = 35 each). We detected genetic association between the G-200T marker and schizophrenia (p = 0.002), between T5988C and bipolar disorder (p = 0.02), and between A5806C and bipolar disorder with psychotic symptoms (p = 0.0038). The T-C-C haplotype was transmitted more frequently with bipolar disorder, but less often with schizophrenia, while the G-C-T haplotype was transmitted more often in schizophrenia. Significant differences were found in overall haplotype frequencies between schizophrenia cases and controls (p = 0.005). GRIN2B expression levels in schizophrenia, bipolar disorder and controls were not significantly different. The genetic findings suggest a role for GRIN2B in schizophrenia and bipolar disorder.     

Meta-analysis of brain size in bipolar disorder.

A recent meta-analysis concluded that patients with schizophrenia have reduced cerebral volume, and this finding has been used to implicate neurodevelopmental events in the etiology of this disorder. Since bipolar-disorder patients and schizophrenia patients have some similar brain abnormalities, it was of interest to meta-analytically review the literature on brain size in bipolar disorder. Only seven studies met the inclusion/exclusion criteria for our meta-analysis, but none reported the brain size differences between the bipolar patients and the controls to be statistically significant. The composite effect size was a negligible 0.04 (95% CI: -0.17 to 0.25) and statistically not significantly different from 0.0 (no effect). Thus, it appears that bipolar disorder is not associated with the same cerebral volume reductions noted in schizophrenia. Implications for hypotheses regarding the etiology of the two disorders are discussed.     

Voxel-based morphometry of patients with schizophrenia or bipolar disorder and their unaffected relatives.

BACKGROUND: Structural brain abnormalities in schizophrenia are well replicated; many emerge before the onset of illness and are present in relatives who remain well. Structural changes in bipolar disorder are less clearly established. The possibility that structural abnormalities might provide a means by which the disorders might be separated is one that has attracted limited research effort. This study sought to examine these issues and clarify the associations of phenotypic expression and genetic liability. METHODS: Forty-nine control subjects, 71 patients, and 72 unaffected relatives were recruited for the study. Patients included those with schizophrenia from families affected by schizophrenia alone, those with bipolar disorder from families affected by bipolar disorder alone, and those with bipolar disorder from families affected by both bipolar disorder and schizophrenia. Unaffected relatives were recruited from the families of the three patient groups. Subjects underwent a magnetic resonance imaging scan of the brain, which was analyzed with a grey-matter-optimized, voxel-based morphometry technique. RESULTS: Compared with control subjects, all patient and relative groups showed evidence of reduced anterior thalamic gray matter. Reductions in middle prefrontal gyrus and dorsomedial thalamus were specific to participants with schizophrenia. CONCLUSIONS: Whereas prefrontal and dorsomedial thalamic gray matter reductions seem to be specific to schizophrenia, anterior thalamic reductions seem to be a marker of liability to psychosis in general. These results are discussed in the context of their functional role and in terms of their connections with other cortical and subcortical structures.