Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0036341 (schizophrenia)
 60,220 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Major depressive disorder is one of the most common and devastating psychiatric disorders. To identify candidate mechanisms for major depressive disorder, we compared gene expression in the temporal cortex from 12 patients with major depressive disorder and 14 matched controls using Affymetrix HgU95A microarrays. Significant expression changes were revealed in families of genes involved in neurodevelopment, signal transduction and cell communication. Among these, the expression of 17 genes related to oligodendrocyte function was significantly (P < 0.05, fold change > 1.4) decreased in patients with major depressive disorder. Eight of these 17 genes encode structural components of myelin (CNP, MAG, MAL, MOG, MOBP, PMP22, PLLP, PLP1). Five other genes encode enzymes involved in the synthesis of myelin constituents (ASPA, UGT8), or are essential in regulation of myelin formation (ENPP2, EDG2, TF, KLK6). One gene, that is, SOX10, encodes a transcription factor regulating other myelination-related genes. OLIG2 is a transcription factor present exclusively in oligodendrocytes and oligodendrocyte precursors. Another gene, ERBB3, is involved in oligodendrocyte differentiation. In addition to myelination-related genes, there were significant changes in multiple genes involved in axonal growth/synaptic function. These findings suggest that major depressive disorder may be associated with changes in cell communication and signal transduction mechanisms that contribute to abnormalities in oligodendroglia and synaptic function. Taken together with other studies, these findings indicate that major depressive disorder may share common oligodendroglial abnormalities with schizophrenia and bipolar disorder.
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PMID:Transcriptional profiling reveals evidence for signaling and oligodendroglial abnormalities in the temporal cortex from patients with major depressive disorder. 1530 2

Microarray and other studies have reported oligodendrocyte and myelin-related (OMR) deficits in schizophrenia. Here, we employed a quantitative approach to determine the magnitude of OMR gene expression deficits and their brain-region specificity. In addition, we examined how expression levels among the studied OMR genes are interrelated. mRNA of MAG, CNP, SOX10, CLDN11, and PMP22, but not MBP and MOBP, was reduced in the hippocampus and anterior cingulate cortex but not in the putamen of patients with schizophrenia. Expression of the only protein examined (CNP) was decreased in the hippocampus but not in the putamen. Correlation and factor analyses revealed that mRNA levels for genes that did exhibit differential expression in schizophrenia (MAG, CNP, SOX10, CLDN11, and PMP2), as opposed to those that did not (MOBP and MBP), loaded on separate factors. Thus, OMR gene and protein expression deficits in schizophrenia are brain-region specific, and the affected components may share regulatory elements.
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PMID:Myelin-associated mRNA and protein expression deficits in the anterior cingulate cortex and hippocampus in elderly schizophrenia patients. 1621 48

Identifying genes for schizophrenia through classical genetic approaches has proven arduous. Here, we present a comprehensive convergent analysis that translationally integrates brain gene expression data from a relevant pharmacogenomic mouse model (involving treatments with a psychomimetic agent - phencyclidine (PCP), and an anti-psychotic - clozapine), with human genetic linkage data and human postmortem brain data, as a Bayesian strategy of cross validating findings. Topping the list of candidate genes, we have three genes involved in GABA neurotransmission (GABRA1, GABBR1, and GAD2), one gene involved in glutamate neurotransmission (GRIA2), one gene involved in neuropeptide signaling (TAC1), two genes involved in synaptic function (SYN2 and KCNJ4), six genes involved in myelin/glial function (CNP, MAL, MBP, PLP1, MOBP and GFAP), and one gene involved in lipid metabolism (LPL). These data suggest that schizophrenia is primarily a disorder of brain functional and structural connectivity, with GABA neurotransmission playing a prominent role. These findings may explain the EEG gamma band abnormalities detected in schizophrenia. The analysis also revealed other high probability candidates genes (neurotransmitter signaling, other structural proteins, ion channels, signal transduction, regulatory enzymes, neuronal migration/neurite outgrowth, clock genes, transcription factors, RNA regulatory genes), pathways and mechanisms of likely importance in pathophysiology. Some of the pathways identified suggest possible avenues for augmentation pharmacotherapy of schizophrenia with other existing agents, such as benzodiazepines, anticonvulsants and lipid modulating agents. Other pathways are new potential targets for drug development. Lastly, a comparison with our earlier work on bipolar disorder illuminates the significant molecular overlap between schizophrenia and bipolar disorder.
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PMID:Towards understanding the schizophrenia code: an expanded convergent functional genomics approach. 1726 9

The evidence implicating oligodendroglia in major mental disorders has grown significantly in the past few years. Microarray analysis revealed altered expression of oligodendroglia-related genes in multiple brain regions from several, clinically diverse groups of subjects with schizophrenia (SZ) as well as subjects with bipolar disorder (BD) and major depressive disorders (MDD), alcoholics and cocaine users. In line with gene expression findings, evidence for ultrastructural changes in white matter and altered oligodendroglia in these disorders were reported in neuroimaging and neuropathological studies. Changes in oligodendroglia-related genes reported in SZ, BD and MDD appear to display considerable similarities (particularly decreased expression of MAG, ERBB, TF, PLP1, MOG, MOBP, MOG), while changes in cocaine abuse and alcoholism are more diverse. Common oligodendroglial abnormalities might indicate aetiological or pathophysiological overlaps between different disorders. The possible mechanisms of oligodendroglial abnormalities may involve functional variations in oligodendroglia-related genes, epigenetic regulation of chromatin, DA system hyperactivity and other mechanisms.
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PMID:Oligodendroglial abnormalities in schizophrenia, mood disorders and substance abuse. Comorbidity, shared traits, or molecular phenocopies? 1729 72

The discoidin domain receptor (DDR1) is highly expressed in oligodendrocytes during the neurodevelopmental myelination process and is genetically associated to schizophrenia. In this study, we aimed to further assess the involvement of DDR1 in both remyelination and oligodendrocyte differentiation. In the mouse model of demyelination-remyelination induced by oral administration of cuprizone, in situ hybridization showed an upregulation of the DDR1 gene in three different white matter areas (corpus callosum, dorsal fornix, and external capsule) during the remyelination period. Moreover, real time reverse transcriptase polymerase chain reaction showed that the increase in DDR1 messenger RNA (mRNA) was strongly correlated with the number of DDR1-positive cells in the corpus callosum (Spearman coefficient = 0.987, P = 0.013). Cells positive for DDR1 mRNA were also positive for oligodendrocyte markers (OLIG2, carnosine, and APC) but not for markers of oligodendrocyte precursors (NG2), myelin markers (CNPase), microglia (CD11b), or reactive glia (GFAP). Differentiation of a human oligodendroglial cell line, HOG16, was associated with an increase in mRNA expression of DDR1 and several myelin proteins (MBP and MOBP) but not other proteins (APC and CNPase). Here, we demonstrate that DDR1 is upregulated in vitro and in vivo when oligodendrocyte myelinating machinery is activated. Further studies are needed to identify the specific molecular pathway.
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PMID:Discoidin domain receptor 1, a tyrosine kinase receptor, is upregulated in an experimental model of remyelination and during oligodendrocyte differentiation in vitro. 1883 51

We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European American and one African American, increasing overlap, reproducibility and consistency of findings from single-nucleotide polymorphisms to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Finally, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.
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PMID:Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction. 2258 67

Combining genome-wide mapping of SNP-rich regions in schizophrenics and gene expression data in all brain compartments across the human life span revealed that genes with promoters most frequently mutated in schizophrenia are expression hubs interacting with far more genes than the rest of the genome. We summed up the differentially methylated "expression neighbors" of genes that fall into one of 108 distinct schizophrenia-associated loci with high number of SNPs. Surprisingly, the number of expression neighbors of the genes in these loci were 35 times higher for the positively correlating genes (32 times higher for the negatively correlating ones) than for the rest of the ~16000 genes. While the genes in the 108 loci have little known impact in schizophrenia, we identified many more known schizophrenia-related important genes with a high degree of connectedness (e.g. MOBP, SYNGR1 and DGCR6), validating our approach. Both the most connected positive and negative hubs affected synapse-related genes the most, supporting the synaptic origin of schizophrenia. At least half of the top genes in both the correlating and anti-correlating categories are cancer-related, including oncogenes (RRAS and ALDOA), providing further insight into the observed inverse relationship between the two diseases.
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PMID:Connecting myelin-related and synaptic dysfunction in schizophrenia with SNP-rich gene expression hubs. 2838 34