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Hartwig C, Monis WJ, Chen X, Dickman DK, Pazour GJ, Faundez V. Neurodevelopmental disease mechanisms, primary cilia, and endosomes converge on the BLOC-1 and BORC complexes. Dev Neurobiol 2017; 78:311-330. [PMID: 28986965 DOI: 10.1002/dneu.22542] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 09/08/2017] [Accepted: 09/15/2017] [Indexed: 12/12/2022]
Abstract
The biogenesis of lysosome-related organelles complex-1 (BLOC-1) and the bloc-one-related complex (BORC) are the cytosolic protein complexes required for specialized membrane protein traffic along the endocytic route and the spatial distribution of endosome-derived compartments, respectively. BLOC-1 and BORC complex subunits and components of their interactomes have been associated with the risk and/or pathomechanisms of neurodevelopmental disorders. Thus, cellular processes requiring BLOC-1 and BORC interactomes have the potential to offer novel insight into mechanisms underlying behavioral defects. We focus on interactions between BLOC-1 or BORC subunits with the actin and microtubule cytoskeleton, membrane tethers, and SNAREs. These interactions highlight requirements for BLOC-1 and BORC in membrane movement by motors, control of actin polymerization, and targeting of membrane proteins to specialized cellular domains such as the nerve terminal and the primary cilium. We propose that the endosome-primary cilia pathway is an underappreciated hub in the genesis and mechanisms of neurodevelopmental disorders. © 2017 Wiley Periodicals, Inc. Develop Neurobiol 78: 311-330, 2018.
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Affiliation(s)
- Cortnie Hartwig
- Department of Cell Biology, Emory University, Atlanta, Georgia, 30322
| | - William J Monis
- Program in Molecular Medicine, University of Massachusetts Medical School, Biotech II, Worcester, Massachusetts, 01605
| | - Xun Chen
- Department of Biology, Neurobiology Section, University of Southern California, Los Angeles, California, 90089
| | - Dion K Dickman
- Department of Biology, Neurobiology Section, University of Southern California, Los Angeles, California, 90089
| | - Gregory J Pazour
- Program in Molecular Medicine, University of Massachusetts Medical School, Biotech II, Worcester, Massachusetts, 01605
| | - Victor Faundez
- Department of Cell Biology, Emory University, Atlanta, Georgia, 30322
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152
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Pelkey KA, Chittajallu R, Craig MT, Tricoire L, Wester JC, McBain CJ. Hippocampal GABAergic Inhibitory Interneurons. Physiol Rev 2017; 97:1619-1747. [PMID: 28954853 DOI: 10.1152/physrev.00007.2017] [Citation(s) in RCA: 495] [Impact Index Per Article: 70.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 05/16/2017] [Accepted: 05/26/2017] [Indexed: 12/11/2022] Open
Abstract
In the hippocampus GABAergic local circuit inhibitory interneurons represent only ~10-15% of the total neuronal population; however, their remarkable anatomical and physiological diversity allows them to regulate virtually all aspects of cellular and circuit function. Here we provide an overview of the current state of the field of interneuron research, focusing largely on the hippocampus. We discuss recent advances related to the various cell types, including their development and maturation, expression of subtype-specific voltage- and ligand-gated channels, and their roles in network oscillations. We also discuss recent technological advances and approaches that have permitted high-resolution, subtype-specific examination of their roles in numerous neural circuit disorders and the emerging therapeutic strategies to ameliorate such pathophysiological conditions. The ultimate goal of this review is not only to provide a touchstone for the current state of the field, but to help pave the way for future research by highlighting where gaps in our knowledge exist and how a complete appreciation of their roles will aid in future therapeutic strategies.
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Affiliation(s)
- Kenneth A Pelkey
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Ramesh Chittajallu
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Michael T Craig
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Ludovic Tricoire
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Jason C Wester
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Chris J McBain
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
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153
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Terrillion CE, Abazyan B, Yang Z, Crawford J, Shevelkin AV, Jouroukhin Y, Yoo KH, Cho CH, Roychaudhuri R, Snyder SH, Jang MH, Pletnikov MV. DISC1 in Astrocytes Influences Adult Neurogenesis and Hippocampus-Dependent Behaviors in Mice. Neuropsychopharmacology 2017; 42. [PMID: 28631721 PMCID: PMC5603806 DOI: 10.1038/npp.2017.129] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The functional role of genetic variants in glia in the pathogenesis of psychiatric disorders remains poorly studied. Disrupted-In-Schizophrenia 1 (DISC1), a genetic risk factor implicated in major mental disorders, has been implicated in regulation of astrocyte functions. As both astrocytes and DISC1 influence adult neurogenesis in the dentate gyrus (DG) of the hippocampus, we hypothesized that selective expression of dominant-negative C-terminus-truncated human DISC1 (mutant DISC1) in astrocytes would affect adult hippocampal neurogenesis and hippocampus-dependent behaviors. A series of behavioral tests were performed in mice with or without expression of mutant DISC1 in astrocytes during late postnatal development. In conjunction with behavioral tests, we evaluated adult neurogenesis, including neural progenitor proliferation and dendrite development of newborn neurons in the DG. The ameliorative effects of D-serine on mutant DISC1-associated behaviors and abnormal adult neurogenesis were also examined. Expression of mutant DISC1 in astrocytes decreased neural progenitor proliferation and dendrite growth of newborn neurons, and produced elevated anxiety, attenuated social behaviors, and impaired hippocampus-dependent learning and memory. Chronic treatment with D-serine ameliorated the behavioral alterations and rescued abnormal adult neurogenesis in mutant DISC1 mice. Our findings suggest that psychiatric genetic risk factors expressed in astrocytes could affect adult hippocampal neurogenesis and contribute to aspects of psychiatric disease through abnormal production of D-serine.
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Affiliation(s)
- Chantelle E Terrillion
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bagrat Abazyan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Zhongxi Yang
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA,Department of Neurosurgery, First Hospital of Jilin University, Changchun, China
| | - Joshua Crawford
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alexey V Shevelkin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yan Jouroukhin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ki Hyun Yoo
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Chang Hoon Cho
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Robin Roychaudhuri
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Solomon H Snyder
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mi-Hyeon Jang
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA,Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Mikhail V Pletnikov
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA, Tel: +410-502-3760, Fax: +410-614-0013, E-mail:
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154
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Dysbindin-1 Involvement in the Etiology of Schizophrenia. Int J Mol Sci 2017; 18:ijms18102044. [PMID: 28937620 PMCID: PMC5666726 DOI: 10.3390/ijms18102044] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 09/16/2017] [Accepted: 09/19/2017] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia is a major psychiatric disorder that afflicts about 1% of the world’s population, falling into the top 10 medical disorders causing disability. Existing therapeutic strategies have had limited success on cognitive impairment and long-term disability and are burdened by side effects. Although new antipsychotic medications have been launched in the past decades, there has been a general lack of significant innovation. This lack of significant progress in the pharmacotherapy of schizophrenia is a reflection of the complexity and heterogeneity of the disease. To date, many susceptibility genes have been identified to be associated with schizophrenia. DTNBP1 gene, which encodes dysbindin-1, has been linked to schizophrenia in multiple populations. Studies on genetic variations show that DTNBP1 modulate prefrontal brain functions and psychiatric phenotypes. Dysbindin-1 is enriched in the dorsolateral prefrontal cortex and hippocampus, while postmortem brain studies of individuals with schizophrenia show decreased levels of dysbindin-1 mRNA and protein in these brain regions. These studies proposed a strong connection between dysbindin-1 function and the pathogenesis of disease. Dysbindin-1 protein was localized at both pre- and post-synaptic sites, where it regulates neurotransmitter release and receptors signaling. Moreover, dysbindin-1 has also been found to be involved in neuronal development. Reduced expression levels of dysbindin-1 mRNA and protein appear to be common in dysfunctional brain areas of schizophrenic patients. The present review addresses our current knowledge of dysbindin-1 with emphasis on its potential role in the schizophrenia pathology. We propose that dysbindin-1 and its signaling pathways may constitute potential therapeutic targets in the therapy of schizophrenia.
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155
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O'Tuathaigh CMP, Moran PM, Zhen XC, Waddington JL. Translating advances in the molecular basis of schizophrenia into novel cognitive treatment strategies. Br J Pharmacol 2017; 174:3173-3190. [PMID: 28667666 DOI: 10.1111/bph.13938] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/07/2017] [Accepted: 06/12/2017] [Indexed: 02/06/2023] Open
Abstract
The presence and severity of cognitive symptoms, including working memory, executive dysfunction and attentional impairment, contributes materially to functional impairment in schizophrenia. Cognitive symptoms have proved to be resistant to both first- and second-generation antipsychotic drugs. Efforts to develop a consensus set of cognitive domains that are both disrupted in schizophrenia and are amenable to cross-species validation (e.g. the National Institute of Mental Health Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia and Research Domain Criteria initiatives) are an important step towards standardization of outcome measures that can be used in preclinical testing of new drugs. While causative genetic mutations have not been identified, new technologies have identified novel genes as well as hitherto candidate genes previously implicated in the pathophysiology of schizophrenia and/or mechanisms of antipsychotic efficacy. This review comprises a selective summary of these developments, particularly phenotypic data arising from preclinical genetic models for cognitive dysfunction in schizophrenia, with the aim of indicating potential new directions for pro-cognitive therapeutics. Linked Articles This article is part of a themed section on Pharmacology of Cognition: a Panacea for Neuropsychiatric Disease? To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.19/issuetoc.
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Affiliation(s)
- Colm M P O'Tuathaigh
- School of Medicine, University College Cork, Brookfield Health Sciences Complex, Cork, Ireland
| | - Paula M Moran
- School of Psychology, University of Nottingham, Nottingham, UK
| | - Xuechu C Zhen
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuropsychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - John L Waddington
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuropsychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China.,Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland
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156
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The Proteome of BLOC-1 Genetic Defects Identifies the Arp2/3 Actin Polymerization Complex to Function Downstream of the Schizophrenia Susceptibility Factor Dysbindin at the Synapse. J Neurosci 2017; 36:12393-12411. [PMID: 27927957 DOI: 10.1523/jneurosci.1321-16.2016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 10/01/2016] [Accepted: 10/20/2016] [Indexed: 12/16/2022] Open
Abstract
Proteome modifications downstream of monogenic or polygenic disorders have the potential to uncover novel molecular mechanisms participating in pathogenesis and/or extragenic modification of phenotypic expression. We tested this idea by determining the proteome sensitive to genetic defects in a locus encoding dysbindin, a protein required for synapse biology and implicated in schizophrenia risk. We applied quantitative mass spectrometry to identify proteins expressed in neuronal cells the abundance of which was altered after downregulation of the schizophrenia susceptibility factor dysbindin (Bloc1s8) or two other dysbindin-interacting polypeptides, which assemble into the octameric biogenesis of lysosome-related organelles complex 1 (BLOC-1). We found 491 proteins sensitive to dysbindin and BLOC-1 loss of function. Gene ontology of these 491 proteins singled out the actin cytoskeleton and the actin polymerization factor, the Arp2/3 complex, as top statistical molecular pathways contained within the BLOC-1-sensitive proteome. Subunits of the Arp2/3 complex were downregulated by BLOC-1 loss of function, thus affecting actin dynamics in early endosomes of BLOC-1-deficient cells. Furthermore, we demonstrated that Arp2/3, dysbindin, and subunits of the BLOC-1 complex biochemically and genetically interact, modulating Drosophila melanogaster synapse morphology and homeostatic synaptic plasticity. Our results indicate that ontologically prioritized proteomics identifies novel pathways that modify synaptic phenotypes associated with neurodevelopmental disorder gene defects. SIGNIFICANCE STATEMENT The mechanisms associated with schizophrenia are mostly unknown despite the increasing number of genetic loci identified that increase disease risk. We present an experimental strategy that impartially and comprehensively interrogates the proteome of neurons to identify effects of genetic mutations in a schizophrenia risk factor, dysbindin. We find that the expression of the actin polymerization complex Arp2/3 is reduced in dysbindin-deficient cells, thus affecting actin-dependent phenotypes in two cellular compartments where dysbindin resides, endosomes and presynapses. Our studies indicate that a central cellular structure affected by schizophrenia susceptibility loci is the actin cytoskeleton, an organelle necessary for synaptic function in the presynaptic and postsynaptic compartment.
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157
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Tomoda T, Hikida T, Sakurai T. Role of DISC1 in Neuronal Trafficking and its Implication in Neuropsychiatric Manifestation and Neurotherapeutics. Neurotherapeutics 2017; 14:623-629. [PMID: 28664299 PMCID: PMC5509643 DOI: 10.1007/s13311-017-0556-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Disrupted-in-schizophrenia 1 (DISC1) was initially identified as a gene disrupted by a translocation mutation co-segregating with a variety of psychotic and mood disorders in a Scottish pedigree. In agreement with this original finding, mouse models that perturb Disc1 display deficits of behaviors in specific dimensions, such as cognition and emotion, but not a motor dimension. Although DISC1 is not a risk gene for sporadic cases of specific psychiatric disorders defined by categorical diagnostic criteria (e.g., schizophrenia and major depressive disorder), DISC1 is now regarded as an important molecular lead to decipher molecular pathology for specific dimensions relevant to major mental illnesses. Emerging evidence points to the role of DISC1 in the regulation of intracellular trafficking of a wide range of neuronal cargoes. We will review recent progress in this aspect of DISC1 biology and discuss how we could utilize this body of knowledge to better understand the pathophysiology of mental illnesses.
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Affiliation(s)
- Toshifumi Tomoda
- Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada.
| | - Takatoshi Hikida
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
| | - Takeshi Sakurai
- Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
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158
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Uniting the neurodevelopmental and immunological hypotheses: Neuregulin 1 receptor ErbB and Toll-like receptor activation in first-episode schizophrenia. Sci Rep 2017. [PMID: 28646138 PMCID: PMC5482801 DOI: 10.1038/s41598-017-03736-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Current pathophysiological models of schizophrenia focus on neurodevelopmental and immunological mechanisms. We investigated a molecular pathway traditionally linked to the neurodevelopmental hypothesis (neuregulin 1 - ErbB), and pathogen-associated pattern recognition receptors associated with the immune hypothesis (Toll-like receptors, TLRs). We recruited 42 first-episode, drug-naïve patients with schizophrenia and 42 matched healthy control subjects. In monocytes TLR4/TLR5 and ErbB expressions were measured with flow-cytometry. Pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α) and the anti-inflammatory cytokine IL-10 were determined following the stimulation of TLR4/TLR5 and ErbB. Results revealed increased TLR4/TLR5 and decreased ErbB4 expression in schizophrenia relative to the control subjects. The expression of ErbB2 and ErbB3 receptors was unaltered in schizophrenia. TLR4 stimulation resulted in lower pro-inflammatory cytokine production in schizophrenia compared to the control levels, whereas the stimulation of ErbB by neuregulin 1 led to higher pro-inflammatory cytokine levels in patients with schizophrenia relative to the control group. In healthy controls, ErbB activation was associated with a marked production of IL-10, which was dampened in schizophrenia. These results indicate that the stimulation of TLR4 and ErbB induces opposite pro-inflammatory cytokine responses in schizophrenia.
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159
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Davies W. Understanding the pathophysiology of postpartum psychosis: Challenges and new approaches. World J Psychiatry 2017; 7:77-88. [PMID: 28713685 PMCID: PMC5491479 DOI: 10.5498/wjp.v7.i2.77] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/25/2017] [Accepted: 04/20/2017] [Indexed: 02/05/2023] Open
Abstract
Postpartum psychosis is a severe psychiatric condition which affects 1-2 of every 1000 mothers shortly after childbirth. Whilst there is convincing evidence that the condition is precipitated by a complex combination of biological and environmental factors, as yet the pathophysiological mechanisms remain extremely poorly defined. Here, I critically review approaches that have been, or are being, employed to identify and characterise such mechanisms; I also review a recent animal model approach, and describe a novel biological risk model that it suggests. Clarification of biological risk mechanisms underlying disorder risk should permit the identification of relevant predictive biomarkers which will ensure that “at risk” subjects receive prompt clinical intervention if required.
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160
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Farnsworth B, Radomska KJ, Zimmermann B, Kettunen P, Jazin E, Emilsson LS. QKI6B mRNA levels are upregulated in schizophrenia and predict GFAP expression. Brain Res 2017; 1669:63-68. [PMID: 28552414 DOI: 10.1016/j.brainres.2017.05.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Revised: 05/21/2017] [Accepted: 05/22/2017] [Indexed: 01/21/2023]
Abstract
Schizophrenia is a highly heritable disorder with a heterogeneous symptomatology. Research increasingly indicates the importance of the crucial and often overlooked glial perturbations within schizophrenia. Within this study, we examined an isoform of quaking (a gene encoding an RNA-binding protein that is exclusively expressed in glial cells), known as QKI6B, and a prototypical astrocyte marker, glial fibrillary acidic protein (GFAP), postulated to be under the regulation of QKI. The expression levels of these genes were quantified across post-mortem brain samples from 55 schizophrenic individuals, and 55 healthy controls, using real-time PCR. We report, through an analysis of covariance (ANCOVA) model, an upregulation of both QKI6B, and GFAP in the prefrontal cortex of brain samples of schizophrenic individuals, as compared to control samples. Previous research has suggested that the QKI protein directly regulates the expression of several genes through interaction with a motif in the target's sequence, termed the Quaking Response Element (QRE). We therefore examined if QKI6B expression can predict the outcome of GFAP, and several oligodendrocyte-related genes, using a multiple linear regression approach. We found that QKI6B significantly predicts the expression of GFAP, but does not predict oligodendrocyte-related gene outcome, as previously seen with other QKI isoforms.
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Affiliation(s)
- B Farnsworth
- Department of Evolution and Development, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - K J Radomska
- Department of Evolution and Development, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - B Zimmermann
- Department of Evolution and Development, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - P Kettunen
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - E Jazin
- Department of Evolution and Development, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - L S Emilsson
- Department of Evolution and Development, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
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161
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Chlorpromazine Increases the Expression of Polysialic Acid (PolySia) in Human Neuroblastoma Cells and Mouse Prefrontal Cortex. Int J Mol Sci 2017; 18:ijms18061123. [PMID: 28538701 PMCID: PMC5485947 DOI: 10.3390/ijms18061123] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Revised: 05/17/2017] [Accepted: 05/18/2017] [Indexed: 01/11/2023] Open
Abstract
The neural cell adhesion molecule (NCAM) is modified by polysialic acid (polySia or PSA) in embryonic brains. In adult brains, polySia modification of NCAM is only observed in restricted areas where neural plasticity, remodeling of neural connections, or neural generation is ongoing although the amount of NCAM remains unchanged. Impairments of the polySia-expression and several single nucleotide polymorphisms (SNPs) of the polysialyltransferase (polyST) ST8SIA2 gene are reported to be associated with schizophrenia and bipolar disorder. Chlorpromazine (CPZ) is well-known as an agent for treating schizophrenia, and our hypothesis is that CPZ may affect the polySia expression or the gene expression of polySTs or NCAM. To test this hypothesis, we analyzed the effects of CPZ on the expression of polySia-NCAM on human neuroblastoma cell line, IMR-32 cells, by immunochemical and chemical methods. Interestingly, the cell surface expression of polySia, especially those with lower chain lengths, was significantly increased on the CPZ-treated cells, while mRNAs for polySTs and NCAM, and the amounts of total polySia-NCAM remained unchanged. The addition of brefeldin A, an inhibitor of endocytosis, suppressed the CPZ-induced cell surface polySia expression. In addition, polySia-NCAM was also observed in the vesicle compartment inside the cell. All these data suggest that the level of cell surface expression of polySia in IMR-32 is highly regulated and that CPZ changes the rate of the recycling of polySia-NCAM, leading to the up-regulation of polySia-NCAM on the cell surface. We also analyzed the effect of CPZ on polySia-expression in various brain regions in adult mice and found that CPZ only influenced the total amounts of polySia-NCAM in prefrontal cortex. These results suggest a brain-region-specific effect of CPZ on the expression of total polySia in mouse brain. Collectively, anti-schizophrenia agent CPZ consistently up-regulates the expression polySia at both cellular and animal levels.
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162
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Zhang W, Daly KM, Liang B, Zhang L, Li X, Li Y, Lin DT. BDNF rescues prefrontal dysfunction elicited by pyramidal neuron-specific DTNBP1 deletion in vivo. J Mol Cell Biol 2017; 9:117-131. [PMID: 27330059 DOI: 10.1093/jmcb/mjw029] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 05/16/2016] [Indexed: 01/15/2023] Open
Abstract
Dystrobrevin-binding protein 1 (Dtnbp1) is one of the earliest identified schizophrenia susceptibility genes. Reduced expression of DTNBP1 is commonly found in brain areas of schizophrenic patients. Dtnbp1-null mutant mice exhibit abnormalities in behaviors and impairments in neuronal activities. However, how diminished DTNBP1 expression contributes to clinical relevant features of schizophrenia remains to be illustrated. Here, using a conditional Dtnbp1 knockout mouse line, we identified an in vivo schizophrenia-relevant function of DTNBP1 in pyramidal neurons of the medial prefrontal cortex (mPFC). We demonstrated that DTNBP1 elimination specifically in pyramidal neurons of the mPFC impaired mouse pre-pulse inhibition (PPI) behavior and reduced perisomatic GABAergic synapses. We further revealed that loss of DTNBP1 in pyramidal neurons diminished activity-dependent secretion of brain-derived neurotrophic factor (BDNF). Finally, we showed that chronic BDNF infusion in the mPFC fully rescued both GABAergic synaptic dysfunction and PPI behavioral deficit induced by DTNBP1 elimination from pyramidal neurons. Our findings highlight brain region- and cell type-specific functions of DTNBP1 in the pathogenesis of schizophrenia, and underscore BDNF restoration as a potential therapeutic strategy for schizophrenia.
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Affiliation(s)
- Wen Zhang
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Kathryn M Daly
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Bo Liang
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Lifeng Zhang
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Xuan Li
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Yun Li
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
| | - Da-Ting Lin
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA.,The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.,The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA
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163
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Nabil Fikri RM, Norlelawati AT, Nour El-Huda AR, Hanisah MN, Kartini A, Norsidah K, Nor Zamzila A. Reelin (RELN) DNA methylation in the peripheral blood of schizophrenia. J Psychiatr Res 2017; 88:28-37. [PMID: 28086126 DOI: 10.1016/j.jpsychires.2016.12.020] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 12/28/2016] [Accepted: 12/31/2016] [Indexed: 01/08/2023]
Abstract
The epigenetic changes of RELN that are involved in the development of dopaminergic neurons may fit the developmental theory of schizophrenia. However, evidence regarding the association of RELN DNA methylation with schizophrenia is far from sufficient, as studies have only been conducted on a few limited brain samples. As DNA methylation in the peripheral blood may mirror the changes taking place in the brain, the use of peripheral blood for a DNA methylation study in schizophrenia is feasible due to the scarcity of brain samples. Therefore, the aim of our study was to examine the relationship of DNA methylation levels of RELN promoters with schizophrenia using genomic DNA derived from the peripheral blood of patients with the disorder. The case control studies consisted of 110 schizophrenia participants and 122 healthy controls who had been recruited from the same district. After bisufhite conversion, the methylation levels of the DNA samples were calculated based on their differences of the Cq values assayed using the highly sensitive real-time MethyLight TaqMan® procedure. A significantly higher level of methylation of the RELN promoter was found in patients with schizophrenia compared to controls (p = 0.005) and also in males compared with females (p = 0.004). Subsequently, the RELN expression of the methylated group was 25 fold less than that of the non-methylated group. Based upon the assumption of parallel methylation changes in the brain and peripheral blood, we concluded that RELN DNA methylation might contribute to the pathogenesis of schizophrenia. However, the definite effects of methylation on RELN function during development and also in adult life still require further elaboration.
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Affiliation(s)
- Rahim Mohd Nabil Fikri
- Department of Basic Medical Sciences, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
| | - A Talib Norlelawati
- Department of Pathology & Laboratory Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia.
| | - Abdul Rahim Nour El-Huda
- Department of Basic Medical Sciences, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
| | - Mohd Noor Hanisah
- Department of Psychiatry, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
| | - Abdullah Kartini
- Department of Psychiatry, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
| | - Kuzaifah Norsidah
- Department of Basic Medical Sciences, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
| | - Abdullah Nor Zamzila
- Department of Pathology & Laboratory Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Malaysia
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164
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de With SAJ, Pulit SL, Staal WG, Kahn RS, Ophoff RA. More than 25 years of genetic studies of clozapine-induced agranulocytosis. THE PHARMACOGENOMICS JOURNAL 2017; 17:304-311. [PMID: 28418011 DOI: 10.1038/tpj.2017.6] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 12/23/2016] [Accepted: 01/18/2017] [Indexed: 12/18/2022]
Abstract
Clozapine is one of the most effective atypical antipsychotic drugs prescribed to patients with treatment-resistant schizophrenia. Approximately 1% of patients experience potential life-threatening adverse effects in the form of agranulocytosis, greatly hindering its applicability in clinical practice. The etiology of clozapine-induced agranulocytosis (CIA) remains unclear, but is thought to be a heritable trait. We reviewed the genetic studies of CIA published thus far. One recurrent finding from early candidate gene study to more recent genome-wide analysis is that of the involvement of human leukocyte antigen locus. We conclude that CIA is most likely a complex, polygenic trait, which may hamper efforts to the development of a genetic predictor test with clinical relevance. To decipher the genetic architecture of CIA, it is necessary to apply more rigorous standards of phenotyping and study much larger sample sizes.
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Affiliation(s)
- S A J de With
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S L Pulit
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - W G Staal
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Center, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands.,Department of Psychiatry, Radboud University Nijmegen Medical Center and Karakter, Center for Child and Adolescent Psychiatry, Nijmegen, The Netherlands
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R A Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.,UCLA Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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165
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Mullane K, Williams M. Enhancing reproducibility: Failures from Reproducibility Initiatives underline core challenges. Biochem Pharmacol 2017; 138:7-18. [PMID: 28396196 DOI: 10.1016/j.bcp.2017.04.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Accepted: 04/05/2017] [Indexed: 12/20/2022]
Abstract
Efforts to address reproducibility concerns in biomedical research include: initiatives to improve journal publication standards and peer review; increased attention to publishing methodological details that enable experiments to be reconstructed; guidelines on standards for study design, implementation, analysis and execution; meta-analyses of multiple studies within a field to synthesize a common conclusion and; the formation of consortia to adopt uniform protocols and internally reproduce data. Another approach to addressing reproducibility are Reproducibility Initiatives (RIs), well-intended, high-profile, systematically peer-vetted initiatives that are intended to replace the traditional process of scientific self-correction. Outcomes from the RIs reported to date have questioned the usefulness of this approach, particularly when the RI outcome differs from other independent self-correction studies that have reproduced the original finding. As a failed RI attempt is a single outcome distinct from the original study, it cannot provide any definitive conclusions necessitating additional studies that the RI approach has neither the ability nor intent of conducting making it a questionable replacement for self-correction. A failed RI attempt also has the potential to damage the reputation of the author of the original finding. Reproduction is frequently confused with replication, an issue that is more than semantic with the former denoting "similarity" and the latter an "exact copy" - an impossible outcome in research because of known and unknown technical, environmental and motivational differences between the original and reproduction studies. To date, the RI framework has negatively impacted efforts to improve reproducibility, confounding attempts to determine whether a research finding is real.
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Affiliation(s)
- Kevin Mullane
- Gladstone Institutes, San Francisco, CA, United States
| | - Michael Williams
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
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166
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Lázaro-Muñoz G. Responsible Translation of Psychiatric Genetics and Other Neuroscience Developments: In Need of Empirical Bioethics Research. THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2017; 17:33-35. [PMID: 28328369 PMCID: PMC7133549 DOI: 10.1080/15265161.2017.1284917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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167
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Connecting Brain Proteomics with Behavioural Neuroscience in Translational Animal Models of Neuropsychiatric Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 974:97-114. [DOI: 10.1007/978-3-319-52479-5_6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
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168
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Larimore J, Zlatic SA, Arnold M, Singleton KS, Cross R, Rudolph H, Bruegge MV, Sweetman A, Garza C, Whisnant E, Faundez V. Dysbindin Deficiency Modifies the Expression of GABA Neuron and Ion Permeation Transcripts in the Developing Hippocampus. Front Genet 2017; 8:28. [PMID: 28344592 PMCID: PMC5344932 DOI: 10.3389/fgene.2017.00028] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 02/20/2017] [Indexed: 12/25/2022] Open
Abstract
The neurodevelopmental factor dysbindin is required for synapse function and GABA interneuron development. Dysbindin protein levels are reduced in the hippocampus of schizophrenia patients. Mouse dysbindin genetic defects and other mouse models of neurodevelopmental disorders share defective GABAergic neurotransmission and, in several instances, a loss of parvalbumin-positive interneuron phenotypes. This suggests that mechanisms downstream of dysbindin deficiency, such as those affecting GABA interneurons, could inform pathways contributing to or ameliorating diverse neurodevelopmental disorders. Here we define the transcriptome of developing wild type and dysbindin null Bloc1s8sdy/sdy mouse hippocampus in order to identify mechanisms downstream dysbindin defects. The dysbindin mutant transcriptome revealed previously reported GABA parvalbumin interneuron defects. However, the Bloc1s8sdy/sdy transcriptome additionally uncovered changes in the expression of molecules controlling cellular excitability such as the cation-chloride cotransporters NKCC1, KCC2, and NCKX2 as well as the potassium channel subunits Kcne2 and Kcnj13. Our results suggest that dysbindin deficiency phenotypes, such as GABAergic defects, are modulated by the expression of molecules controlling the magnitude and cadence of neuronal excitability.
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Affiliation(s)
| | | | - Miranda Arnold
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | | | - Rebecca Cross
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | - Hannah Rudolph
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | | | - Andrea Sweetman
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | - Cecilia Garza
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | - Eli Whisnant
- Department of Biology, Agnes-Scott College, Decatur, GA, USA
| | - Victor Faundez
- Department of Cell Biology, Emory University, Atlanta, GA, USA
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169
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Border R, Keller MC. Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and Thoemmes (2016). J Child Psychol Psychiatry 2017; 58:328-330. [PMID: 28194762 PMCID: PMC5312579 DOI: 10.1111/jcpp.12669] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2016] [Indexed: 11/30/2022]
Abstract
Moore and Thoemmes elaborate on one particular source of difficulty in the study of candidate gene-by-environment interactions (cG × E): how different biologically plausible configurations of gene-environment covariation can bias estimates of cG × E when not explicitly modeled. However, even if cG × E investigators were able to account for the sources of bias Moore and Thoemmes elaborate, it is unlikely that conventional approaches would yield reliable results. Published cG × E findings to date have generally employed inadequate analytic procedures, have relied on samples orders of magnitude too small to detect plausible effects, and have relied on a particular candidate gene approach that has been unfruitful and largely jettisoned in mainstream genetic analyses of complex traits. Analytic procedures for the study of gene-environment interplay must evolve to meet the challenges that the genetic architecture of complex traits presents, and investigators must collaborate on grander scales if we hope to begin to understand how specific genes and environments combine to affect behavior.
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Affiliation(s)
- Richard Border
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, 80303,Department of Psychology & Neuroscience, University of Colorado at Boulder, Boulder, CO, 80301
| | - Matthew C. Keller
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, 80303,Department of Psychology & Neuroscience, University of Colorado at Boulder, Boulder, CO, 80301
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170
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Schizophrenia genetics comes to translation. NPJ SCHIZOPHRENIA 2017; 3:10. [PMID: 28560256 PMCID: PMC5441536 DOI: 10.1038/s41537-017-0011-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 01/12/2017] [Accepted: 01/13/2017] [Indexed: 12/13/2022]
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171
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Ghiani CA, Faundez V. Cellular and molecular mechanisms of neurodevelopmental disorders. J Neurosci Res 2017; 95:1093-1096. [PMID: 28225560 DOI: 10.1002/jnr.24041] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 01/30/2017] [Accepted: 01/31/2017] [Indexed: 01/19/2023]
Affiliation(s)
- Cristina A Ghiani
- Departments of Pathology & Laboratory Medicine and Psychiatry & Biobehavioral Sciences, Intellectual and Developmental Disabilities Research Center, University of California Los Angeles, Los Angeles, California, 90095, USA
| | - Victor Faundez
- Department of Cell Biology and the Center for Social Translational Neuroscience, Emory University, Atlanta, GA, 30322, USA
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172
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Corral-Frías NS, Pizzagalli DA, Carré JM, Michalski LJ, Nikolova YS, Perlis RH, Fagerness J, Lee MR, Conley ED, Lancaster TM, Haddad S, Wolf A, Smoller JW, Hariri AR, Bogdan R. COMT Val(158) Met genotype is associated with reward learning: a replication study and meta-analysis. GENES BRAIN AND BEHAVIOR 2017; 15:503-13. [PMID: 27138112 DOI: 10.1111/gbb.12296] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 03/25/2016] [Accepted: 04/14/2016] [Indexed: 02/06/2023]
Abstract
Identifying mechanisms through which individual differences in reward learning emerge offers an opportunity to understand both a fundamental form of adaptive responding as well as etiological pathways through which aberrant reward learning may contribute to maladaptive behaviors and psychopathology. One candidate mechanism through which individual differences in reward learning may emerge is variability in dopaminergic reinforcement signaling. A common functional polymorphism within the catechol-O-methyl transferase gene (COMT; rs4680, Val(158) Met) has been linked to reward learning, where homozygosity for the Met allele (linked to heightened prefrontal dopamine function and decreased dopamine synthesis in the midbrain) has been associated with relatively increased reward learning. Here, we used a probabilistic reward learning task to asses response bias, a behavioral form of reward learning, across three separate samples that were combined for analyses (age: 21.80 ± 3.95; n = 392; 268 female; European-American: n = 208). We replicate prior reports that COMT rs4680 Met allele homozygosity is associated with increased reward learning in European-American participants (β = 0.20, t = 2.75, P < 0.01; ΔR(2) = 0.04). Moreover, a meta-analysis of 4 studies, including the current one, confirmed the association between COMT rs4680 genotype and reward learning (95% CI -0.11 to -0.03; z = 3.2; P < 0.01). These results suggest that variability in dopamine signaling associated with COMT rs4680 influences individual differences in reward which may potentially contribute to psychopathology characterized by reward dysfunction.
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Affiliation(s)
- N S Corral-Frías
- Psychiatry Department, Washington University in St. Louis, St. Louis, MO, USA.,BRAIN Laboratory, Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
| | - D A Pizzagalli
- Center For Depression, Anxiety and Stress Research and Neuroimaging Center, McLean Hospital and Harvard Medical School, Belmont, MA, USA
| | - J M Carré
- Nipissing University, North Bay, Ontario, Canada
| | - L J Michalski
- BRAIN Laboratory, Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
| | - Y S Nikolova
- Centre for Addiction and Mental Health Toronto, Ontario, Canada
| | - R H Perlis
- Massachusetts General Hospital and Harvard Medical School, Cambridge, MA, USA.,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - J Fagerness
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - M R Lee
- National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, USA
| | | | - T M Lancaster
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - S Haddad
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - A Wolf
- Department of Psychiatry Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - J W Smoller
- Massachusetts General Hospital and Harvard Medical School, Cambridge, MA, USA.,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - A R Hariri
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - R Bogdan
- BRAIN Laboratory, Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA.,Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, USA
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173
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174
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Association between RGS4 variants and psychotic-like experiences in nonclinical individuals. Eur Arch Psychiatry Clin Neurosci 2017; 267:19-24. [PMID: 26910404 DOI: 10.1007/s00406-016-0676-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 01/25/2016] [Indexed: 12/11/2022]
Abstract
The psychosis phenotype is expressed across a continuum known as schizotypy, which ranges from personality variation through subclinical symptoms to severe psychopathology. The study of subclinical manifestations in non-affected individuals minimizes confounding factors associated with the clinical phenotype and facilitates the differentiation of dimension-specific etiological mechanisms. The aim of the present study was to investigate the association between the variation in the regulator of G-protein signaling 4 (RGS4) gene, a putative candidate gene for psychosis previously associated with schizophrenia endophenotypes, and psychotic-like experiences (PLEs). In total, 808 healthy individuals completed the community assessment of psychic experiences (CAPE) to measure positive and negative PLEs and provided a DNA sample. Two RGS4 single-nucleotide polymorphisms (SNPs) (rs951436 [SNP4] and rs2661319 [SNP18]) were genotyped. Analyses of covariance (ANCOVA) were used to explore the association of positive and negative PLEs with RGS4 variation. Our results showed associations of positive and negative PLEs with the two polymorphisms studied: subjects with the T allele (SNP4) and the A allele (SNP18) had higher scores on both the positive and the negative dimensions. Haplotypic analyses supported these results, showing the highest scores in those with the TA haplotype (SNP4-SNP18). The RGS4 variants might exert gene-specific modulating effects on psychosis proneness.
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175
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Thompson PM, Andreassen OA, Arias-Vasquez A, Bearden CE, Boedhoe PS, Brouwer RM, Buckner RL, Buitelaar JK, Bulayeva KB, Cannon DM, Cohen RA, Conrod PJ, Dale AM, Deary IJ, Dennis EL, de Reus MA, Desrivieres S, Dima D, Donohoe G, Fisher SE, Fouche JP, Francks C, Frangou S, Franke B, Ganjgahi H, Garavan H, Glahn DC, Grabe HJ, Guadalupe T, Gutman BA, Hashimoto R, Hibar DP, Holland D, Hoogman M, Hulshoff Pol HE, Hosten N, Jahanshad N, Kelly S, Kochunov P, Kremen WS, Lee PH, Mackey S, Martin NG, Mazoyer B, McDonald C, Medland SE, Morey RA, Nichols TE, Paus T, Pausova Z, Schmaal L, Schumann G, Shen L, Sisodiya SM, Smit DJA, Smoller JW, Stein DJ, Stein JL, Toro R, Turner JA, van den Heuvel MP, van den Heuvel OL, van Erp TGM, van Rooij D, Veltman DJ, Walter H, Wang Y, Wardlaw JM, Whelan CD, Wright MJ, Ye J. ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. Neuroimage 2017; 145:389-408. [PMID: 26658930 PMCID: PMC4893347 DOI: 10.1016/j.neuroimage.2015.11.057] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 10/16/2015] [Accepted: 11/23/2015] [Indexed: 11/22/2022] Open
Abstract
In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) - a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date - of schizophrenia and major depression - ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens - now numbering over 30,000 MRI scans - have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants - and genetic variants in general - may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures - from tens of thousands of people - that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.
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Affiliation(s)
- Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA; Departments of Neurosciences, Radiology, Psychiatry, and Cognitive Science, University of California, San Diego 92093, CA, USA
| | - Ole A Andreassen
- NORMENT-KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo 0315, Norway; NORMENT-KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo 0315, Norway
| | - Alejandro Arias-Vasquez
- Donders Center for Cognitive Neuroscience, Departments of Psychiatry, Human Genetics & Cognitive Neuroscience, Radboud University Medical Center, Nijmegen 6525, The Netherlands
| | - Carrie E Bearden
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA; Dept. of Psychology, University of California, Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, CA 90095, USA
| | - Premika S Boedhoe
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center (VUMC), Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Rachel M Brouwer
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - Randy L Buckner
- Department of Psychiatry, Massachusetts General Hospital, Boston 02114, USA
| | - Jan K Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands; Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Kazima B Bulayeva
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin str. 3, Moscow 119991, Russia
| | - Dara M Cannon
- National Institute of Mental Health Intramural Research Program, Bethesda 20892, USA; Neuroimaging & Cognitive Genomics Centre (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Ronald A Cohen
- Institute on Aging, University of Florida, Gainesville, FL 32611, USA
| | - Patricia J Conrod
- Department of Psychological Medicine and Psychiatry, Section of Addiction, King's College London, University of London, UK
| | - Anders M Dale
- Departments of Neurosciences, Radiology, Psychiatry, and Cognitive Science, University of California, San Diego, La Jolla, CA 92093-0841, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Emily L Dennis
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Marcel A de Reus
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - Sylvane Desrivieres
- MRC-SGDP Centre, Institute of Psychiatry, King's College London, London SE5 8AF, UK
| | - Danai Dima
- Institute of Psychiatry, Psychology and Neuroscience, King׳s College London, UK; Clinical Neuroscience Studies (CNS) Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, USA
| | - Gary Donohoe
- Neuroimaging and Cognitive Genomics center (NICOG), School of Psychology, National University of Ireland, Galway, Ireland
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands
| | - Jean-Paul Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands
| | - Sophia Frangou
- Clinical Neuroscience Studies (CNS) Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525, The Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen 6525, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands
| | - Habib Ganjgahi
- Department of Statistics, The University of Warwick, Coventry, UK
| | - Hugh Garavan
- Psychiatry Department, University of Vermont, VT, USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT 06511, USA; Olin Neuropsychiatric Research Center, Hartford, CT 06114, USA
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald 17489, Germany; Department of Psychiatry and Psychotherapy, HELIOS Hospital, Stralsund 18435, Germany
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands; International Max Planck Research School for Language Sciences, Nijmegen 6525 XD, The Netherlands
| | - Boris A Gutman
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Japan
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Dominic Holland
- Departments of Neurosciences, Radiology, Psychiatry, and Cognitive Science, University of California, San Diego, La Jolla, CA 92093-0841, USA
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands
| | - Hilleke E Hulshoff Pol
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - Norbert Hosten
- Department of Radiology University Medicine Greifswald, Greifswald 17475, Germany
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Sinead Kelly
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Peter Kochunov
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Phil H Lee
- Center for Human Genetic Research, Massachusetts General Hospital, USA; Department of Psychiatry, Harvard Medical School, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, USA
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington 05401, VT, USA
| | | | - Bernard Mazoyer
- Groupe d'imagerie Neurofonctionnelle, UMR5296 CNRS CEA Université de Bordeaux, France
| | - Colm McDonald
- Neuroimaging & Cognitive Genomics Centre (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - Rajendra A Morey
- Duke Institute for Brain Sciences, Duke University, NC 27710, USA
| | - Thomas E Nichols
- Department of Statistics & WMG, University of Warwick, Coventry CV4 7AL, UK; FMRIB Centre, University of Oxford, Oxford OX3 9DU, UK
| | - Tomas Paus
- Rotman Research Institute, Baycrest, Toronto, ON, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada; Child Mind Institute, NY, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Lianne Schmaal
- Department of Psychiatry, VU University Medical Center (VUMC), Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Gunter Schumann
- MRC-SGDP Centre, Institute of Psychiatry, King's College London, London SE5 8AF, UK
| | - Li Shen
- Center for Neuroimaging, Dept. of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th Street, Suite 4100, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 355 W. 16th Street, Suite 4100, Indianapolis, IN 46202, USA
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London WC1N 3BG, UK and Epilepsy Society, Bucks, UK
| | - Dirk J A Smit
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, USA
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; MRC Research Unit on Anxiety & Stress Disorders, South Africa
| | - Jason L Stein
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA; Neurogenetics Program, Department of Neurology, UCLA School of Medicine, Los Angeles 90095, USA
| | | | - Jessica A Turner
- Departments of Psychology and Neuroscience, Georgia State University, Atlanta, GA 30302, USA
| | - Martijn P van den Heuvel
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - Odile L van den Heuvel
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center (VUMC), Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92617, USA
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HB, The Netherlands
| | - Dick J Veltman
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center (VUMC), Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin 10117, Germany
| | - Yalin Wang
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, AZ 85281, USA
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Christopher D Whelan
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane 4072, Australia
| | - Jieping Ye
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
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176
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Jiang J, Long J, Ling W, Huang G, Su L. Genetic variation in the 3'-untranslated region of PAK1 influences schizophrenia susceptibility. Exp Ther Med 2017; 13:1101-1108. [PMID: 28450949 DOI: 10.3892/etm.2017.4039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2013] [Accepted: 08/23/2016] [Indexed: 12/23/2022] Open
Abstract
The present study aimed to investigate the association of two polymorphisms (rs2844337 and rs11237200) in the P21 protein (cell division control protein 42/Rac)-activated kinase 1 gene with susceptibility to schizophrenia (SCZ) in Chinese Zhuang and Chinese Han populations. A total of 700 patients with SCZ and 700 healthy controls were recruited. Rs2844337 and rs11237200 polymorphisms were genotyped using Sequenom technology. A total of 591 patients completed the Positive and Negative Syndrome Scale (PANSS) assessment. Data were statistically analyzed using PLINK version 1.07 and SPSS version 17.0. In the Chinese Han population, the genotypic (P=0.038) and allelic (P=0.033) frequencies of the 3'-untranslated region (UTR) genetic variation of rs2844337 in patients were significantly decreased compared to that in controls; these frequencies were significantly associated with SCZ susceptibility in the additive model (Padj=0.032) and in the recessive model (Padj=0.031). Moreover, the TG haplotype constructed by rs2844337 and rs11237200 polymorphisms remained significantly associated with SCZ risk following adjustment for gender and age and applying a Bonferroni correction in the Chinese Han population (Padj=0.003, PBC=0.009). The adjacent 5'-UTR genetic variation of rs11237200 was significantly associated with the total score (Padj=0.006), positive scale score (Padj=0.014) and general psychopathology scale scores (Padj=0.009) in the recessive model of the Chinese Han population. However, these polymorphisms were not significantly associated with SCZ susceptibility or the PANSS scores in the Chinese Zhuang population. In conclusion, variations in the PAK1 gene influenced the susceptibility and severity of the clinical symptoms of SCZ in the Chinese Han population investigated in the present study.
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Affiliation(s)
- Juan Jiang
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
| | - Jianxiong Long
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
| | - Weijun Ling
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
| | - Guifeng Huang
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
| | - Li Su
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
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177
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Iacono WG, Malone SM, Vrieze SI. Endophenotype best practices. Int J Psychophysiol 2017; 111:115-144. [PMID: 27473600 PMCID: PMC5219856 DOI: 10.1016/j.ijpsycho.2016.07.516] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 07/21/2016] [Accepted: 07/24/2016] [Indexed: 01/19/2023]
Abstract
This review examines the current state of electrophysiological endophenotype research and recommends best practices that are based on knowledge gleaned from the last decade of molecular genetic research with complex traits. Endophenotype research is being oversold for its potential to help discover psychopathology relevant genes using the types of small samples feasible for electrophysiological research. This is largely because the genetic architecture of endophenotypes appears to be very much like that of behavioral traits and disorders: they are complex, influenced by many variants (e.g., tens of thousands) within many genes, each contributing a very small effect. Out of over 40 electrophysiological endophenotypes covered by our review, only resting heart, a measure that has received scant advocacy as an endophenotype, emerges as an electrophysiological variable with verified associations with molecular genetic variants. To move the field forward, investigations designed to discover novel variants associated with endophenotypes will need extremely large samples best obtained by forming consortia and sharing data obtained from genome wide arrays. In addition, endophenotype research can benefit from successful molecular genetic studies of psychopathology by examining the degree to which these verified psychopathology-relevant variants are also associated with an endophenotype, and by using knowledge about the functional significance of these variants to generate new endophenotypes. Even without molecular genetic associations, endophenotypes still have value in studying the development of disorders in unaffected individuals at high genetic risk, constructing animal models, and gaining insight into neural mechanisms that are relevant to clinical disorder.
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178
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179
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Ansen-Wilson LJ, Lipinski RJ. Gene-environment interactions in cortical interneuron development and dysfunction: A review of preclinical studies. Neurotoxicology 2017; 58:120-129. [PMID: 27932026 PMCID: PMC5328258 DOI: 10.1016/j.neuro.2016.12.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 12/03/2016] [Accepted: 12/03/2016] [Indexed: 12/26/2022]
Abstract
Cortical interneurons (cINs) are a diverse group of locally projecting neurons essential to the organization and regulation of neural networks. Though they comprise only ∼20% of neurons in the neocortex, their dynamic modulation of cortical activity is requisite for normal cognition and underlies multiple aspects of learning and memory. While displaying significant morphological, molecular, and electrophysiological variability, cINs collectively function to maintain the excitatory-inhibitory balance in the cortex by dampening hyperexcitability and synchronizing activity of projection neurons, primarily through use of the inhibitory neurotransmitter gamma-aminobutyric acid (GABA). Disruption of the excitatory-inhibitory balance is a common pathophysiological feature of multiple seizure and neuropsychiatric disorders, including epilepsy, schizophrenia, and autism. While most studies have focused on genetic disruption of cIN development in these conditions, emerging evidence indicates that cIN development is exquisitely sensitive to teratogenic disruption. Here, we review key aspects of cIN development, including specification, migration, and integration into neural circuits. Additionally, we examine the mechanisms by which prenatal exposure to common chemical and environmental agents disrupt these events in preclinical models. Understanding how genetic and environmental factors interact to disrupt cIN development and function has tremendous potential to advance prevention and treatment of prevalent seizure and neuropsychiatric illnesses.
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Affiliation(s)
- Lydia J Ansen-Wilson
- Department of Comparative Biosciences School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA; Comparative Biomedical Sciences Graduate Program, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA.
| | - Robert J Lipinski
- Department of Comparative Biosciences School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA; Comparative Biomedical Sciences Graduate Program, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA; Molecular and Environmental Toxicology Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1010B McArdle Building, 1400 University Avenue, Madison, WI, 53706, USA.
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180
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Howes OD, McCutcheon R, Owen MJ, Murray RM. The Role of Genes, Stress, and Dopamine in the Development of Schizophrenia. Biol Psychiatry 2017; 81:9-20. [PMID: 27720198 PMCID: PMC5675052 DOI: 10.1016/j.biopsych.2016.07.014] [Citation(s) in RCA: 334] [Impact Index Per Article: 47.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 07/08/2016] [Accepted: 07/10/2016] [Indexed: 02/06/2023]
Abstract
The dopamine hypothesis is the longest standing pathoetiologic theory of schizophrenia. Because it was initially based on indirect evidence and findings in patients with established schizophrenia, it was unclear what role dopamine played in the onset of the disorder. However, recent studies in people at risk of schizophrenia have found elevated striatal dopamine synthesis capacity and increased dopamine release to stress. Furthermore, striatal dopamine changes have been linked to altered cortical function during cognitive tasks, in line with preclinical evidence that a circuit involving cortical projections to the striatum and midbrain may underlie the striatal dopamine changes. Other studies have shown that a number of environmental risk factors for schizophrenia, such as social isolation and childhood trauma, also affect presynaptic dopaminergic function. Advances in preclinical work and genetics have begun to unravel the molecular architecture linking dopamine, psychosis, and psychosocial stress. Included among the many genes associated with risk of schizophrenia are the gene encoding the dopamine D2 receptor and those involved in the upstream regulation of dopaminergic synthesis, through glutamatergic and gamma-aminobutyric acidergic pathways. A number of these pathways are also linked to the stress response. We review these new lines of evidence and present a model of how genes and environmental factors may sensitize the dopamine system so that it is vulnerable to acute stress, leading to progressive dysregulation and the onset of psychosis. Finally, we consider the implications for rational drug development, in particular regionally selective dopaminergic modulation, and the potential of genetic factors to stratify patients.
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Affiliation(s)
- Oliver D Howes
- Psychosis Studies, King's College London, London, United Kingdom; MRC Clinical Sciences Centre, Imperial College Hammersmith Hospital, London, United Kingdom.
| | - Robert McCutcheon
- Psychosis Studies, King's College London, London, United Kingdom; MRC Clinical Sciences Centre, Imperial College Hammersmith Hospital, London, United Kingdom
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, and Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, Wales, United Kingdom
| | - Robin M Murray
- Psychosis Studies, King's College London, London, United Kingdom
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181
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Abstract
Epidemiological studies and mouse models suggest that maternal immune activation, induced clinically through prenatal exposure to one of several infectious diseases, is a risk factor in the development of schizophrenia. This is supported by the strong genetic association established by genome wide association studies (GWAS) between the human leukocyte antigen (HLA) locus and schizophrenia. HLA proteins (also known in mice as the major histocompatibility complex; MHC) are mediators of the T-lymphocyte responses, and genetic variability is well-established as a risk factor for autoimmune diseases and susceptibility to infectious diseases. Taken together, the findings strongly suggest that schizophrenia risk in a subgroup of patients is caused by an infectious disease, and/or an autoimmune phenomenon. However, this view may be overly simplistic. First, MHC proteins have a non-immune effect on synaptogenesis by modulating synaptic pruning by microglia and other mechanisms, suggesting that genetic variability could be compromising this physiological process. Second, some GWAS signals in the HLA locus map near non-HLA genes, such as the histone gene cluster. On the other hand, recent GWAS data show association signals near B-lymphocyte enhancers, which lend support for an infectious disease etiology. Thus, although the genetic findings implicating the HLA locus are very robust, how genetic variability in this region leads to schizophrenia remains to be elucidated.
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Affiliation(s)
- Ryan Mokhtari
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, New York, USA
| | - Herbert M Lachman
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, New York, USA; Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, New York, USA; Department of Neuroscience, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, New York, USA; Department of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, New York, USA
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182
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Genotype-Dependent Effects of COMT Inhibition on Cognitive Function in a Highly Specific, Novel Mouse Model of Altered COMT Activity. Neuropsychopharmacology 2016; 41:3060-3069. [PMID: 27388330 PMCID: PMC5101554 DOI: 10.1038/npp.2016.119] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 06/28/2016] [Accepted: 06/30/2016] [Indexed: 02/07/2023]
Abstract
Catechol-O-methyltransferase (COMT) modulates dopamine levels in the prefrontal cortex. The human gene contains a polymorphism (Val158Met) that alters enzyme activity and influences PFC function. It has also been linked with cognition and anxiety, but the findings are mixed. We therefore developed a novel mouse model of altered COMT activity. The human Met allele was introduced into the native mouse COMT gene to produce COMT-Met mice, which were compared with their wild-type littermates. The model proved highly specific: COMT-Met mice had reductions in COMT abundance and activity, compared with wild-type mice, explicitly in the absence of off-target changes in the expression of other genes. Despite robust alterations in dopamine metabolism, we found only subtle changes on certain cognitive tasks under baseline conditions (eg, increased spatial novelty preference in COMT-Met mice vs wild-type mice). However, genotype differences emerged after administration of the COMT inhibitor tolcapone: performance of wild-type mice, but not COMT-Met mice, was improved on the 5-choice serial reaction time task after tolcapone administration. There were no changes in anxiety-related behaviors in the tests that we used. Our findings are convergent with human studies of the Val158Met polymorphism, and suggest that COMT's effects are most prominent when the dopamine system is challenged. Finally, they demonstrate the importance of considering COMT genotype when examining the therapeutic potential of COMT inhibitors.
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183
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Gassó P, Sánchez-Gistau V, Mas S, Sugranyes G, Rodríguez N, Boloc D, de la Serna E, Romero S, Moreno D, Moreno C, Díaz-Caneja CM, Lafuente A, Castro-Fornieles J. Association of CACNA1C and SYNE1 in offspring of patients with psychiatric disorders. Psychiatry Res 2016; 245:427-435. [PMID: 27620326 DOI: 10.1016/j.psychres.2016.08.058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 07/29/2016] [Accepted: 08/21/2016] [Indexed: 12/25/2022]
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are severe mental diseases associated with cognitive impairment, mood disturbance, and psychosis. Both disorders are highly heritable and share a common genetic background. The present study assesses, for the first time, differences in genotype frequencies of polymorphisms located in genes involved in neurodevelopment and synaptic plasticity between genetic high-risk individuals (offspring of patients with SZ or BD; N=100: 31 and 69, respectively) and control subjects (offspring of community controls; N=96). Individuals from both groups had similar ages, around 12 years. A higher percentage of men were included in the genetic high-risk group (58%) compared with the control group (40.6%). A total of 244 validated SNPs located in 35 candidate gene regions were analyzed in 196 participants. Multivariate methods based on logistic regression analysis were performed to assess differences in genotype frequencies. Bonferroni correction was applied for the multiple comparisons performed. Two polymorphisms, CACNA1C rs10848683 and SYNE1 rs214950, showed significant differences. The frequency of heterozygotes for CACNA1C rs10848683 in genetic high-risk individuals was double that in controls (OR=3.15; P=0.00016). For SYNE1 rs214950, higher frequencies of heterozygotes (OR=1.97) and homozygotes for the minor allele (OR=17.89; P=0.00020) were found in the genetic high-risk group than in the control group. In conclusion, polymorphisms in CACNA1C and SYNE1 could confer a greater risk of developing SZ and BD in individuals who are already at high risk because of their family history. This could help identify subjects with a very high genetic risk, in whom early detection and early intervention could lead to better prognosis.
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Affiliation(s)
- Patricia Gassó
- Department of Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - Vanessa Sánchez-Gistau
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Sergi Mas
- Department of Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Natalia Rodríguez
- Department of Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain
| | - Daniel Boloc
- Department of Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Soledad Romero
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Dolores Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Department of Psychiatry, Complutense University of Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Carmen Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Department of Psychiatry, Complutense University of Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Covadonga M Díaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Department of Psychiatry, Complutense University of Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Amalia Lafuente
- Department of Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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184
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Gordon I, Jack A, Pretzsch CM, Vander Wyk B, Leckman JF, Feldman R, Pelphrey KA. Intranasal Oxytocin Enhances Connectivity in the Neural Circuitry Supporting Social Motivation and Social Perception in Children with Autism. Sci Rep 2016; 6:35054. [PMID: 27845765 PMCID: PMC5109935 DOI: 10.1038/srep35054] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 09/23/2016] [Indexed: 02/07/2023] Open
Abstract
Oxytocin (OT) has become a focus in investigations of autism spectrum disorder (ASD). The social deficits that characterize ASD may relate to reduced connectivity between brain sites on the mesolimbic reward pathway (nucleus accumbens; amygdala) that receive OT projections and contribute to social motivation, and cortical sites involved in social perception. Using functional magnetic resonance imaging and a randomized, double blind, placebo-controlled crossover design, we show that OT administration in ASD increases activity in brain regions important for perceiving social-emotional information. Further, OT enhances connectivity between nodes of the brain’s reward and socioemotional processing systems, and does so preferentially for social (versus nonsocial) stimuli. This effect is observed both while viewing coherent versus scrambled biological motion, and while listening to happy versus angry voices. Our findings suggest a mechanism by which intranasal OT may bolster social motivation—one that could, in future, be harnessed to augment behavioral treatments for ASD.
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Affiliation(s)
- Ilanit Gordon
- Child Study Center, Yale University, New Haven, CT 06520, USA.,Department of Psychology, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Allison Jack
- Autism and Neurodevelopmental Disorders Institute, George Washington University, Ashburn, VA 20147, USA
| | | | | | - James F Leckman
- Child Study Center, Yale University, New Haven, CT 06520, USA
| | - Ruth Feldman
- Child Study Center, Yale University, New Haven, CT 06520, USA.,Department of Psychology, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Kevin A Pelphrey
- Autism and Neurodevelopmental Disorders Institute, George Washington University, Ashburn, VA 20147, USA
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185
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Rutkowski TP, Schroeder JP, Gafford GM, Warren ST, Weinshenker D, Caspary T, Mulle JG. Unraveling the genetic architecture of copy number variants associated with schizophrenia and other neuropsychiatric disorders. J Neurosci Res 2016; 95:1144-1160. [PMID: 27859486 DOI: 10.1002/jnr.23970] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 09/20/2016] [Accepted: 09/26/2016] [Indexed: 12/21/2022]
Abstract
Recent studies show that the complex genetic architecture of schizophrenia (SZ) is driven in part by polygenic components, or the cumulative effect of variants of small effect in many genes, as well as rare single-locus variants with large effect sizes. Here we discuss genetic aberrations known as copy number variants (CNVs), which fall in the latter category and are associated with a high risk for SZ and other neuropsychiatric disorders. We briefly review recurrent CNVs associated with SZ, and then highlight one CNV in particular, a recurrent 1.6-Mb deletion on chromosome 3q29, which is estimated to confer a 40-fold increased risk for SZ. Additionally, we describe the use of genetic mouse models, behavioral tools, and patient-derived induced pluripotent stem cells as a means to study CNVs in the hope of gaining mechanistic insight into their respective disorders. Taken together, the genomic data connecting CNVs with a multitude of human neuropsychiatric disease, our current technical ability to model such chromosomal anomalies in mouse, and the existence of precise behavioral measures of endophenotypes argue that the time is ripe for systematic dissection of the genetic mechanisms underlying such disease. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Timothy P Rutkowski
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Jason P Schroeder
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Georgette M Gafford
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Stephen T Warren
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Tamara Caspary
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Jennifer G Mulle
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia.,Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
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186
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Edwards AC, Bacanu SA, Bigdeli TB, Moscati A, Kendler KS. Evaluating the dopamine hypothesis of schizophrenia in a large-scale genome-wide association study. Schizophr Res 2016; 176:136-140. [PMID: 27338758 PMCID: PMC5026897 DOI: 10.1016/j.schres.2016.06.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 06/10/2016] [Accepted: 06/13/2016] [Indexed: 01/09/2023]
Abstract
BACKGROUND The dopamine hypothesis, which posits that dysregulation of the dopaminergic system is etiologic for schizophrenia, is among the most enduring biological theories in psychiatry. Although variation within genes related to dopaminergic functioning has been associated with schizophrenia, an aggregate test of variation, using the largest publicly available schizophrenia dataset, has not previously been conducted. METHODS We first identified a core set of 11 genes involved in the synthesis, metabolism, and neurotransmission of dopamine. We then extracted summary statistics of markers falling within, or flanking, these genes from the Psychiatric Genomics Consortium's most recent schizophrenia mega-analysis results. We conducted aggregate tests for enrichment of dopamine-related pathways for association with schizophrenia. RESULTS We did not detect significant enrichment of signals across the core set of dopamine-related genes. However, we did observe modest to strong enrichment of genetic signals within the DRD2 locus. CONCLUSIONS Within the limits of available power, common sequence variation within core genes of the dopaminergic system is not related to risk of schizophrenia. This does not preclude a role of dopamine, or dopamine-related genes, in the clinical presentation of schizophrenia or in treatment response. However, it does suggest that the genetic risk for schizophrenia is not substantially affected by common variation in those genes which, collectively, critically impact dopaminergic functioning.
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187
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Integrative transcriptomic meta-analysis of Parkinson's disease and depression identifies NAMPT as a potential blood biomarker for de novo Parkinson's disease. Sci Rep 2016; 6:34579. [PMID: 27680512 PMCID: PMC5041099 DOI: 10.1038/srep34579] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 09/15/2016] [Indexed: 02/06/2023] Open
Abstract
Emerging research indicates that depression could be one of the earliest prodromal symptoms or risk factors associated with the pathogenesis of Parkinson’s disease (PD), the second most common neurodegenerative disorder worldwide, but the mechanisms underlying the association between both diseases remains unknown. Understanding the molecular networks linking these diseases could facilitate the discovery of novel diagnostic and therapeutics. Transcriptomic meta-analysis and network analysis of blood microarrays from untreated patients with PD and depression identified genes enriched in pathways related to the immune system, metabolism of lipids, glucose, fatty acids, nicotinamide, lysosome, insulin signaling and type 1 diabetes. Nicotinamide phosphoribosyltransferase (NAMPT), an adipokine that plays a role in lipid and glucose metabolism, was identified as the most significant dysregulated gene. Relative abundance of NAMPT was upregulated in blood of 99 early stage and drug-naïve PD patients compared to 101 healthy controls (HC) nested in the cross-sectional Parkinson’s Progression Markers Initiative (PPMI). Thus, here we demonstrate that shared molecular networks between PD and depression provide an additional source of biologically relevant biomarkers. Evaluation of NAMPT in a larger prospective longitudinal study including samples from other neurodegenerative diseases, and patients at risk of PD is warranted.
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188
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Nagalski A, Kozinski K, Wisniewska MB. Metabolic pathways in the periphery and brain: Contribution to mental disorders? Int J Biochem Cell Biol 2016; 80:19-30. [PMID: 27644152 DOI: 10.1016/j.biocel.2016.09.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 09/14/2016] [Accepted: 09/15/2016] [Indexed: 12/20/2022]
Abstract
The association between mental disorders and diabetes has a long history. Recent large-scale, well-controlled epidemiological studies confirmed a link between diabetes and psychiatric illnesses. The scope of this review is to summarize our current understanding of this relationship from a molecular perspective. We first discuss the potential contribution of diabetes-associated metabolic impairments to the etiology of mental conditions. Then, we focus on possible shared molecular risk factors and mechanisms. Simple comorbidity, shared susceptibility loci, and common pathophysiological processes in diabetes and mental illnesses have changed our traditional way of thinking about mental illness. We conclude that schizophrenia and affective disorders are not limited to an imbalance in dopaminergic and serotoninergic neurotransmission in the brain. They are also systemic disorders that can be considered, to some extent, as metabolic disorders.
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Affiliation(s)
- Andrzej Nagalski
- Laboratory of Molecular Neurobiology, Centre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland
| | - Kamil Kozinski
- Laboratory of Molecular Neurobiology, Centre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland
| | - Marta B Wisniewska
- Laboratory of Molecular Neurobiology, Centre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland.
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189
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Maric NP, Jovicic MJ, Mihaljevic M, Miljevic C. Improving Current Treatments for Schizophrenia. Drug Dev Res 2016; 77:357-367. [DOI: 10.1002/ddr.21337] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Nadja P. Maric
- School of Medicine; University of Belgrade; Belgrade Serbia
- Clinical Centre of Serbia; Clinic for Psychiatry; Belgrade Serbia
| | | | | | - Cedo Miljevic
- School of Medicine; University of Belgrade; Belgrade Serbia
- Institute of Mental Health; Belgrade Serbia
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190
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Modeling psychiatric disorders: from genomic findings to cellular phenotypes. Mol Psychiatry 2016; 21:1167-79. [PMID: 27240529 PMCID: PMC4995546 DOI: 10.1038/mp.2016.89] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 04/20/2016] [Accepted: 04/21/2016] [Indexed: 12/15/2022]
Abstract
Major programs in psychiatric genetics have identified >150 risk loci for psychiatric disorders. These loci converge on a small number of functional pathways, which span conventional diagnostic criteria, suggesting a partly common biology underlying schizophrenia, autism and other psychiatric disorders. Nevertheless, the cellular phenotypes that capture the fundamental features of psychiatric disorders have not yet been determined. Recent advances in genetics and stem cell biology offer new prospects for cell-based modeling of psychiatric disorders. The advent of cell reprogramming and induced pluripotent stem cells (iPSC) provides an opportunity to translate genetic findings into patient-specific in vitro models. iPSC technology is less than a decade old but holds great promise for bridging the gaps between patients, genetics and biology. Despite many obvious advantages, iPSC studies still present multiple challenges. In this expert review, we critically review the challenges for modeling of psychiatric disorders, potential solutions and how iPSC technology can be used to develop an analytical framework for the evaluation and therapeutic manipulation of fundamental disease processes.
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191
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Murphy E, Benítez-Burraco A. Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach. Front Hum Neurosci 2016; 10:422. [PMID: 27601987 PMCID: PMC4993770 DOI: 10.3389/fnhum.2016.00422] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 08/08/2016] [Indexed: 12/11/2022] Open
Abstract
Schizophrenia is characterized by marked language deficits, but it is not clear how these deficits arise from the alteration of genes related to the disease. The goal of this paper is to aid the bridging of the gap between genes and schizophrenia and, ultimately, give support to the view that the abnormal presentation of language in this condition is heavily rooted in the evolutionary processes that brought about modern language. To that end we will focus on how the schizophrenic brain processes language and, particularly, on its distinctive oscillatory profile during language processing. Additionally, we will show that candidate genes for schizophrenia are overrepresented among the set of genes that are believed to be important for the evolution of the human faculty of language. These genes crucially include (and are related to) genes involved in brain rhythmicity. We will claim that this translational effort and the links we uncover may help develop an understanding of language evolution, along with the etiology of schizophrenia, its clinical/linguistic profile, and its high prevalence among modern populations.
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Affiliation(s)
- Elliot Murphy
- Division of Psychology and Language Sciences, University College London London, UK
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192
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Thomson PA, Duff B, Blackwood DHR, Romaniuk L, Watson A, Whalley HC, Li X, Dauvermann MR, Moorhead TWJ, Bois C, Ryan NM, Redpath H, Hall L, Morris SW, van Beek EJR, Roberts N, Porteous DJ, St Clair D, Whitcher B, Dunlop J, Brandon NJ, Hughes ZA, Hall J, McIntosh A, Lawrie SM. Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function. NPJ SCHIZOPHRENIA 2016; 2:16024. [PMID: 27602385 PMCID: PMC4994153 DOI: 10.1038/npjschz.2016.24] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 06/30/2016] [Accepted: 07/01/2016] [Indexed: 01/01/2023]
Abstract
Rare genetic variants of large effect can help elucidate the pathophysiology of brain disorders. Here we expand the clinical and genetic analyses of a family with a (1;11)(q42;q14.3) translocation multiply affected by major psychiatric illness and test the effect of the translocation on the structure and function of prefrontal, and temporal brain regions. The translocation showed significant linkage (LOD score 6.1) with a clinical phenotype that included schizophrenia, schizoaffective disorder, bipolar disorder, and recurrent major depressive disorder. Translocation carriers showed reduced cortical thickness in the left temporal lobe, which correlated with general psychopathology and positive psychotic symptom severity. They showed reduced gyrification in prefrontal cortex, which correlated with general psychopathology severity. Translocation carriers also showed significantly increased activation in the caudate nucleus on increasing verbal working memory load, as well as statistically significant reductions in the right dorsolateral prefrontal cortex glutamate concentrations. These findings confirm that the t(1;11) translocation is associated with a significantly increased risk of major psychiatric disorder and suggest a general vulnerability to psychopathology through altered cortical structure and function, and decreased glutamate levels.
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Affiliation(s)
- Pippa A Thomson
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Barbara Duff
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Douglas H R Blackwood
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Liana Romaniuk
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Andrew Watson
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Heather C Whalley
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Xiang Li
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - Maria R Dauvermann
- McGovern Institute for Brain Research, Massachusetts Institute of Technology , Cambridge, MA, USA
| | - T William J Moorhead
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Catherine Bois
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Niamh M Ryan
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Holly Redpath
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Lynsey Hall
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Stewart W Morris
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Edwin J R van Beek
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - Neil Roberts
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - David J Porteous
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - David St Clair
- Institute of Medical Sciences, University of Aberdeen , Aberdeen, UK
| | - Brandon Whitcher
- Clinical & Translational Imaging Group, Pfizer Global Research , Cambridge, MA, USA
| | - John Dunlop
- Neuroscience Research Unit, Pfizer Global Research, Cambridge, MA, USA; AstraZeneca Neuroscience, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, MA, USA
| | - Nicholas J Brandon
- Neuroscience Research Unit, Pfizer Global Research, Cambridge, MA, USA; AstraZeneca Neuroscience, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, MA, USA
| | - Zoë A Hughes
- Neuroscience Research Unit, Pfizer Global Research , Cambridge, MA, USA
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building , Cardiff, UK
| | - Andrew McIntosh
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
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193
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McMeekin LJ, Lucas EK, Meador-Woodruff JH, McCullumsmith RE, Hendrickson RC, Gamble KL, Cowell RM. Cortical PGC-1α-Dependent Transcripts Are Reduced in Postmortem Tissue From Patients With Schizophrenia. Schizophr Bull 2016; 42:1009-17. [PMID: 26683626 PMCID: PMC4903048 DOI: 10.1093/schbul/sbv184] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The transcriptional coactivator peroxisome proliferator-activated receptor-gamma coactivator 1-alpha (PGC-1α) has been linked to multiple neurological and psychiatric disorders including schizophrenia, but its involvement in the pathophysiology of these disorders is unclear. Experiments in mice have revealed a set of developmentally-regulated cortical PGC-1α-dependent transcripts involved in calcium buffering (parvalbumin, PV), synchronous neurotransmitter release (synaptotagmin 2, Syt2; complexin 1, Cplx1) and axonal integrity (neurofilamaent heavy chain, Nefh). We measured the mRNA expression of PGC-1α and these transcripts in postmortem cortical tissue from control and schizophrenia patients and found a reduction in PGC-1α-dependent transcripts without a change in PGC-1α. While control subjects with high PGC-1α expression exhibited high PV and Nefh expression, schizophrenia subjects with high PGC-1α expression did not, suggesting dissociation between PGC-1α expression and these targets in schizophrenia. Unbiased analyses of the promoter regions for PGC-1α-dependent transcripts revealed enrichment of binding sites for the PGC-1α-interacting transcription factor nuclear respiratory factor 1 (NRF-1). NRF-1 mRNA expression was reduced in schizophrenia, and its transcript levels predicted that of PGC-1α-dependent targets in schizophrenia. Interestingly, the positive correlation between PGC-1α and PV, Syt2, or Cplx1 expression was lost in schizophrenia patients with low NRF-1 expression, suggesting that NRF-1 is a critical predictor of these genes in disease. These data suggest that schizophrenia involves a disruption in PGC-1α and/or NRF-1-associated transcriptional programs in the cortex and that approaches to enhance the activity of PGC-1α or transcriptional regulators like NRF-1 should be considered with the goal of restoring normal gene programs and improving cortical function.
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Affiliation(s)
- Laura J McMeekin
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Elizabeth K Lucas
- Fishberg Department of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - James H Meador-Woodruff
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | | | | | - Karen L Gamble
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Rita M Cowell
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL;
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194
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Rahman T, Lauriello J. Schizophrenia: An Overview. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2016; 14:300-307. [PMID: 31975810 DOI: 10.1176/appi.focus.20160006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Few changes were made to the diagnostic criteria for schizophrenia in DSM-5. Schizophrenia is a chronic mental illness with positive symptoms (delusions, hallucinations, disorganized speech and behavior), negative symptoms, and cognitive impairment. Discoveries in genetics, neuroimaging, and immune function continue to advance understanding of the etiologies for this elusive disease. The authors reviewed the current literature to give an overview. The topics include historical foundations, epidemiology, suicide risk, genomewide association studies, twin studies, neuroimaging, ventricular size, complement component 4 mediated synapse elimination, major histocompatibility complex markers, and associations seen in obstetrical complications, nutritional issues, prodromal and attenuated states, cannabis use, childhood trauma, immigration, and traumatic brain injury. Also reviewed are expressed emotions of caregivers and recidivism, conditions comorbid with obsessive-compulsive disorder, mood disorders, substance use, and finally some legal and ethical issues. These important developments in elucidating the disease mechanism will likely allow for the development of future novel treatment strategies.
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Affiliation(s)
- Tahir Rahman
- Dr. Rahman is assistant professor of Clinical Psychiatry, University of Missouri-Columbia. Dr. Lauriello is professor and chairman of the Department of Psychiatry and a Robert J. Douglas, M.D., and Betty Douglas Distinguished Faculty Scholar in Psychiatry, University of Missouri-Columbia
| | - John Lauriello
- Dr. Rahman is assistant professor of Clinical Psychiatry, University of Missouri-Columbia. Dr. Lauriello is professor and chairman of the Department of Psychiatry and a Robert J. Douglas, M.D., and Betty Douglas Distinguished Faculty Scholar in Psychiatry, University of Missouri-Columbia
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195
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Devine MJ, Norkett R, Kittler JT. DISC1 is a coordinator of intracellular trafficking to shape neuronal development and connectivity. J Physiol 2016; 594:5459-69. [PMID: 27121900 DOI: 10.1113/jp272187] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 03/31/2016] [Indexed: 01/14/2023] Open
Abstract
The long, asymmetric and specialised architecture of neuronal processes necessitates a properly regulated transport network of molecular motors and cytoskeletal tracks. This allows appropriate distribution of cargo for correct formation and activity of the synapse, and thus normal neuronal communication. This communication is impaired in psychiatric disease, and ongoing studies have proposed that Disrupted in schizophrenia 1 (DISC1) is an important genetic risk factor for these disorders. The mechanisms by which DISC1 dysfunction might increase propensity to psychiatric disease are not completely understood; however, an emerging theme is that DISC1 can function as a key regulator of neuronal intracellular trafficking. Transport of a wide range of potential cargoes - including mRNAs, neurotransmitter receptors, vesicles and mitochondria - can be modulated by DISC1, and therefore is susceptible to DISC1 dysfunction. This theme highlights the importance of understanding precisely how DISC1 can regulate intracellular trafficking, and suggests that a novel approach to the treatment of psychiatric disorders could be provided by targeting this protein and the trafficking machinery with which it interacts.
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Affiliation(s)
- M J Devine
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, UK
| | - R Norkett
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, UK
| | - J T Kittler
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, UK.
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196
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DNA Damage and Repair in Schizophrenia and Autism: Implications for Cancer Comorbidity and Beyond. Int J Mol Sci 2016; 17:ijms17060856. [PMID: 27258260 PMCID: PMC4926390 DOI: 10.3390/ijms17060856] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 05/12/2016] [Accepted: 05/27/2016] [Indexed: 12/16/2022] Open
Abstract
Schizophrenia and autism spectrum disorder (ASD) are multi-factorial and multi-symptomatic psychiatric disorders, each affecting 0.5%-1% of the population worldwide. Both are characterized by impairments in cognitive functions, emotions and behaviour, and they undermine basic human processes of perception and judgment. Despite decades of extensive research, the aetiologies of schizophrenia and ASD are still poorly understood and remain a significant challenge to clinicians and scientists alike. Adding to this unsatisfactory situation, patients with schizophrenia or ASD often develop a variety of peripheral and systemic disturbances, one prominent example of which is cancer, which shows a direct (but sometimes inverse) comorbidity in people affected with schizophrenia and ASD. Cancer is a disease characterized by uncontrolled proliferation of cells, the molecular origin of which derives from mutations of a cell's DNA sequence. To counteract such mutations and repair damaged DNA, cells are equipped with intricate DNA repair pathways. Oxidative stress, oxidative DNA damage, and deficient repair of oxidative DNA lesions repair have been proposed to contribute to the development of schizophrenia and ASD. In this article, we summarize the current evidence of cancer comorbidity in these brain disorders and discuss the putative roles of oxidative stress, DNA damage and DNA repair in the aetiopathology of schizophrenia and ASD.
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197
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The dopamine beta-hydroxylase gene polymorphism rs1611114 is associated with schizophrenia in the Chinese Zhuang but not Chinese Han population. Mol Genet Genomics 2016; 291:1813-21. [DOI: 10.1007/s00438-016-1221-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 05/24/2016] [Indexed: 10/21/2022]
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198
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Schizophrenia interactome with 504 novel protein-protein interactions. NPJ SCHIZOPHRENIA 2016; 2:16012. [PMID: 27336055 PMCID: PMC4898894 DOI: 10.1038/npjschz.2016.12] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 02/17/2016] [Accepted: 02/23/2016] [Indexed: 11/29/2022]
Abstract
Genome-wide association studies of schizophrenia (GWAS) have revealed the role of rare and common genetic variants, but the functional effects of the risk variants remain to be understood. Protein interactome-based studies can facilitate the study of molecular mechanisms by which the risk genes relate to schizophrenia (SZ) genesis, but protein–protein interactions (PPIs) are unknown for many of the liability genes. We developed a computational model to discover PPIs, which is found to be highly accurate according to computational evaluations and experimental validations of selected PPIs. We present here, 365 novel PPIs of liability genes identified by the SZ Working Group of the Psychiatric Genomics Consortium (PGC). Seventeen genes that had no previously known interactions have 57 novel interactions by our method. Among the new interactors are 19 drug targets that are targeted by 130 drugs. In addition, we computed 147 novel PPIs of 25 candidate genes investigated in the pre-GWAS era. While there is little overlap between the GWAS genes and the pre-GWAS genes, the interactomes reveal that they largely belong to the same pathways, thus reconciling the apparent disparities between the GWAS and prior gene association studies. The interactome including 504 novel PPIs overall, could motivate other systems biology studies and trials with repurposed drugs. The PPIs are made available on a webserver, called Schizo-Pi at http://severus.dbmi.pitt.edu/schizo-pi with advanced search capabilities.
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199
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Malt EA, Juhasz K, Malt UF, Naumann T. A Role for the Transcription Factor Nk2 Homeobox 1 in Schizophrenia: Convergent Evidence from Animal and Human Studies. Front Behav Neurosci 2016; 10:59. [PMID: 27064909 PMCID: PMC4811959 DOI: 10.3389/fnbeh.2016.00059] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 03/11/2016] [Indexed: 12/22/2022] Open
Abstract
Schizophrenia is a highly heritable disorder with diverse mental and somatic symptoms. The molecular mechanisms leading from genes to disease pathology in schizophrenia remain largely unknown. Genome-wide association studies (GWASs) have shown that common single-nucleotide polymorphisms associated with specific diseases are enriched in the recognition sequences of transcription factors that regulate physiological processes relevant to the disease. We have used a “bottom-up” approach and tracked a developmental trajectory from embryology to physiological processes and behavior and recognized that the transcription factor NK2 homeobox 1 (NKX2-1) possesses properties of particular interest for schizophrenia. NKX2-1 is selectively expressed from prenatal development to adulthood in the brain, thyroid gland, parathyroid gland, lungs, skin, and enteric ganglia, and has key functions at the interface of the brain, the endocrine-, and the immune system. In the developing brain, NKX2-1-expressing progenitor cells differentiate into distinct subclasses of forebrain GABAergic and cholinergic neurons, astrocytes, and oligodendrocytes. The transcription factor is highly expressed in mature limbic circuits related to context-dependent goal-directed patterns of behavior, social interaction and reproduction, fear responses, responses to light, and other homeostatic processes. It is essential for development and mature function of the thyroid gland and the respiratory system, and is involved in calcium metabolism and immune responses. NKX2-1 interacts with a number of genes identified as susceptibility genes for schizophrenia. We suggest that NKX2-1 may lie at the core of several dose dependent pathways that are dysregulated in schizophrenia. We correlate the symptoms seen in schizophrenia with the temporal and spatial activities of NKX2-1 in order to highlight promising future research areas.
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Affiliation(s)
- Eva A Malt
- Department of Adult Habilitation, Akershus University HospitalLørenskog, Norway; Institute of Clinical Medicine, Ahus Campus University of OsloOslo, Norway
| | - Katalin Juhasz
- Department of Adult Habilitation, Akershus University Hospital Lørenskog, Norway
| | - Ulrik F Malt
- Institute of Clinical Medicine, University of OsloOslo, Norway; Department of Research and Education, Institution of Oslo University HospitalOslo, Norway
| | - Thomas Naumann
- Centre of Anatomy, Institute of Cell Biology and Neurobiology, Charite Universitätsmedizin Berlin Berlin, Germany
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200
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Quach TT, Lerch JK, Honnorat J, Khanna R, Duchemin AM. Neuronal networks in mental diseases and neuropathic pain: Beyond brain derived neurotrophic factor and collapsin response mediator proteins. World J Psychiatry 2016; 6:18-30. [PMID: 27014595 PMCID: PMC4804265 DOI: 10.5498/wjp.v6.i1.18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 11/24/2015] [Accepted: 01/07/2016] [Indexed: 02/05/2023] Open
Abstract
The brain is a complex network system that has the capacity to support emotion, thought, action, learning and memory, and is characterized by constant activity, constant structural remodeling, and constant attempt to compensate for this remodeling. The basic insight that emerges from complex network organization is that substantively different networks can share common key organizational principles. Moreover, the interdependence of network organization and behavior has been successfully demonstrated for several specific tasks. From this viewpoint, increasing experimental/clinical observations suggest that mental disorders are neural network disorders. On one hand, single psychiatric disorders arise from multiple, multifactorial molecular and cellular structural/functional alterations spreading throughout local/global circuits leading to multifaceted and heterogeneous clinical symptoms. On the other hand, various mental diseases may share functional deficits across the same neural circuit as reflected in the overlap of symptoms throughout clinical diagnoses. An integrated framework including experimental measures and clinical observations will be necessary to formulate a coherent and comprehensive understanding of how neural connectivity mediates and constraints the phenotypic expression of psychiatric disorders.
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