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Gao Z, Guo X, Sun Z, Wu S, Wang Q, Huang Q, Bai W, Kou C. Copy number deletion of PLA2G4A affects the susceptibility and clinical phenotypes of schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:55. [PMID: 38816399 PMCID: PMC11139948 DOI: 10.1038/s41537-024-00474-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/17/2024] [Indexed: 06/01/2024]
Abstract
Phospholipase A2(PLA2) superfamily is recognized as being involved in the pathogenesis of schizophrenia by affecting lipid homeostasis in cell membranes. We hypothesized that PLA2 gene copy number variation (CNV) may affect PLA2 enzyme expression and be associated with schizophrenia risk. This study indicated that in the discovery stage, an increased copy number of PLA2G6 and the deletion of PLA2G3, PLA2G4A, PLA2G4F and PLA2G12F was associated with increased risk of schizophrenia. CNV segments involving six PLA2 genes were detected in publicly available datasets, including two deletion segments specific to the PLA2G4A gene. The relationship between the deletion of PLA2G4A and susceptibility to schizophrenia was then reaffirmed in the validation group of 806 individuals. There was a significant correlation between PLA2G4A deletion and the symptoms of poverty of thought in male patients and erotomanic delusion in females. Furthermore, ELISA results demonstrate a significant decrease in peripheral blood cytosolic PLA2(cPLA2) levels in patients with the PLA2G4A deletion genotype compared to those with normal and copy number duplicate genotypes. These data suggest that the functional copy number deletion in the PLA2G4A gene is associated with the risk of schizophrenia and clinical phenotypes by reducing the expression of cPLA2, which may be an indicator of susceptibility to schizophrenia.
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Affiliation(s)
- Zibo Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xinru Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Zhouyang Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Songyu Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Qianyi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Qianlong Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Wei Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
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Quarto T, Lella A, Di Carlo P, Rampino A, Paladini V, Papalino M, Romano R, Fazio L, Marvulli D, Popolizio T, Blasi G, Pergola G, Bertolino A. Heritability of amygdala reactivity to angry faces and its replicable association with the schizophrenia risk locus of miR-137. J Psychiatry Neurosci 2023; 48:E357-E366. [PMID: 37751917 PMCID: PMC10521919 DOI: 10.1503/jpn.230013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 07/11/2023] [Accepted: 07/30/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Among healthy participants, the interindividual variability of brain response to facial emotions is associated with genetic variation, including common risk variants for schizophrenia, a heritable brain disorder characterized by anomalies in emotion processing. We aimed to identify genetic variants associated with heritable brain activity during processing of facial emotions among healthy participants and to explore the impact of these identified variants among patients with schizophrenia. METHODS We conducted a data-driven stepwise study including samples of healthy twins, unrelated healthy participants and patients with schizophrenia. Participants approached or avoided pictures of faces with negative emotional valence during functional magnetic resonance imaging (fMRI). RESULTS We investigated 3 samples of healthy participants - including 28 healthy twin pairs, 289 unrelated healthy participants (genome-wide association study [GWAS] discovery sample) and 90 unrelated healthy participants (replication sample) - and 1 sample of 48 patients with schizophrenia. Among healthy twins, we identified the amygdala as the brain region with the highest heritability during processing of angry faces (heritability estimate 0.54, p < 0.001). Subsequent GWAS in both discovery and replication samples of healthy non-twins indicated that amygdala activity was associated with a polymorphism in the miR-137 locus (rs1198575), a micro-RNA strongly involved in risk for schizophrenia. A significant effect in the same direction was found among patients with schizophrenia (p = 0.03). LIMITATIONS The limited sample size available for GWAS analyses may require further replication of results. CONCLUSION Our data-driven approach shows preliminary evidence that amygdala activity, as evaluated with our task, is heritable. Our genetic associations preliminarily suggest a role for miR-137 in brain activity during explicit processing of facial emotions among healthy participants and patients with schizophrenia, pointing to the amygdala as a brain region whose activity is related to miR-137.
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Affiliation(s)
- Tiziana Quarto
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Annalisa Lella
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Pasquale Di Carlo
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Antonio Rampino
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Vittoria Paladini
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Marco Papalino
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Raffaella Romano
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Leonardo Fazio
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Daniela Marvulli
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Teresa Popolizio
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Giuseppe Blasi
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Giulio Pergola
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
| | - Alessandro Bertolino
- From the Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy (Quarto, Lella, Di Carlo, Rampino, Paladini, Papalino, Romano, Fazio, Marvulli, Blasi, Pergola, Bertolino); the Department of Humanities, University of Foggia, Foggia, Italy (Quarto); the Psychiatry Unit, Bari University Hospital, Bari, Italy (Rampino, Blasi, Bertolino); the LUM (Fazio); the IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (Popolizio); the Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD (Pergola)
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González-Calvo I, Cizeron M, Bessereau JL, Selimi F. Synapse Formation and Function Across Species: Ancient Roles for CCP, CUB, and TSP-1 Structural Domains. Front Neurosci 2022; 16:866444. [PMID: 35546877 PMCID: PMC9083331 DOI: 10.3389/fnins.2022.866444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/28/2022] [Indexed: 11/17/2022] Open
Abstract
The appearance of synapses was a crucial step in the creation of the variety of nervous systems that are found in the animal kingdom. With increased complexity of the organisms came a greater number of synaptic proteins. In this review we describe synaptic proteins that contain the structural domains CUB, CCP, or TSP-1. These domains are found in invertebrates and vertebrates, and CUB and CCP domains were initially described in proteins belonging to the complement system of innate immunity. Interestingly, they are found in synapses of the nematode C. elegans, which does not have a complement system, suggesting an ancient function. Comparison of the roles of CUB-, CCP-, and TSP-1 containing synaptic proteins in various species shows that in more complex nervous systems, these structural domains are combined with other domains and that there is partial conservation of their function. These three domains are thus basic building blocks of the synaptic architecture. Further studies of structural domains characteristic of synaptic proteins in invertebrates such as C. elegans and comparison of their role in mammals will help identify other conserved synaptic molecular building blocks. Furthermore, this type of functional comparison across species will also identify structural domains added during evolution in correlation with increased complexity, shedding light on mechanisms underlying cognition and brain diseases.
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Affiliation(s)
- Inés González-Calvo
- Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France
| | - Mélissa Cizeron
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR-5284, INSERM U-1314, MeLiS, Institut NeuroMyoGène, Lyon, France
| | - Jean-Louis Bessereau
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR-5284, INSERM U-1314, MeLiS, Institut NeuroMyoGène, Lyon, France
| | - Fekrije Selimi
- Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France
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4
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Jeremian R, Bani-Fatemi A, Strauss JS, Tasmim S, Dada O, Graff-Guerrero A, Gerretsen P, De Luca V. Investigation of accelerated epigenetic aging in individuals suffering from schizophrenia in the context of lifetime suicide attempt. Schizophr Res 2022; 243:222-224. [PMID: 31174921 DOI: 10.1016/j.schres.2019.05.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 05/08/2019] [Accepted: 05/09/2019] [Indexed: 12/22/2022]
Affiliation(s)
- Richie Jeremian
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Ali Bani-Fatemi
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada
| | - John S Strauss
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Samia Tasmim
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Oluwagbenga Dada
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Ariel Graff-Guerrero
- Institute of Medical Science, University of Toronto, Ontario, Canada; Geriatric Mental Health Program, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Philip Gerretsen
- Institute of Medical Science, University of Toronto, Ontario, Canada; Geriatric Mental Health Program, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Vincenzo De Luca
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Ontario, Canada.
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Bioinformatics and Network-based Approaches for Determining Pathways, Signature Molecules, and Drug Substances connected to Genetic Basis of Schizophrenia etiology. Brain Res 2022; 1785:147889. [PMID: 35339428 DOI: 10.1016/j.brainres.2022.147889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/28/2022] [Accepted: 03/21/2022] [Indexed: 12/12/2022]
Abstract
Knowledge of heterogeneous etiology and pathophysiology of schizophrenia (SZP) is reasonably inadequate and non-deterministic due to its inherent complexity and underlying vast dynamics related to genetic mechanisms. The evolution of large-scale transcriptome-wide datasets and subsequent development of relevant, robust technologies for their analyses show promises toward elucidating the genetic basis of disease pathogenesis, its early risk prediction, and predicting drug molecule targets for therapeutic intervention. In this research, we have scrutinized the genetic basis of SZP through functional annotation and network-based system biology approaches. We have determined 96 overlapping differentially expressed genes (DEGs) from 2 microarray datasets and subsequently identified their interconnecting networks to reveal transcriptome signatures like hub proteins (FYN, RAD51, SOCS3, XIAP, AKAP13, PIK3C2A, CBX5, GATA3, EIF3K, and CDKN2B), transcription factors and miRNAs. In addition, we have employed gene set enrichment to highlight significant gene ontology (e.g., positive regulation of microglial cell activation) and relevant pathways (such as axon guidance and focal adhesion) interconnected to the genes associated with SZP. Finally, we have suggested candidate drug substances like Luteolin HL60 UP as a possible therapeutic target based on these key molecular signatures.
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6
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Jaaro-Peled H, Landek-Salgado MA, Cascella NG, Nucifora FC, Coughlin JM, Nestadt G, Sedlak TW, Lavoie J, De Silva S, Lee S, Tajinda K, Hiyama H, Ishizuka K, Yang K, Sawa A. Sex-specific involvement of the Notch-JAG pathway in social recognition. Transl Psychiatry 2022; 12:99. [PMID: 35273151 PMCID: PMC8913639 DOI: 10.1038/s41398-022-01867-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 02/12/2022] [Accepted: 02/24/2022] [Indexed: 12/18/2022] Open
Abstract
Under the hypothesis that olfactory neural epithelium gene expression profiles may be useful to look for disease-relevant neuronal signatures, we examined microarray gene expression in olfactory neuronal cells and underscored Notch-JAG pathway molecules in association with schizophrenia (SZ). The microarray profiling study underscored JAG1 as the most promising candidate. Combined with further validation with real-time PCR, downregulation of NOTCH1 was statistically significant. Accordingly, we reverse-translated the significant finding from a surrogate tissue for neurons, and studied the behavioral profile of Notch1+/- mice. We found a specific impairment in social novelty recognition, whereas other behaviors, such as sociability, novel object recognition and olfaction of social odors, were normal. This social novelty recognition deficit was male-specific and was rescued by rapamycin treatment. Based on the results from the animal model, we next tested whether patients with psychosis might have male-specific alterations in social cognition in association with the expression of NOTCH1 or JAG1. In our first episode psychosis cohort, we observed a specific correlation between the expression of JAG1 and a face processing measure only in male patients. The expression of JAG1 was not correlated with any other cognitive and symptomatic scales in all subjects. Together, although we acknowledge the pioneering and exploratory nature, the present work that combines both human and animal studies in a reciprocal manner suggests a novel role for the Notch-JAG pathway in a behavioral dimension(s) related to social cognition in psychotic disorders in a male-specific manner.
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Affiliation(s)
- Hanna Jaaro-Peled
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Melissa A. Landek-Salgado
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Nicola G. Cascella
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Frederick C. Nucifora
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Jennifer M. Coughlin
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Gerald Nestadt
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Thomas W. Sedlak
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Joelle Lavoie
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Sarah De Silva
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Somin Lee
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Katsunori Tajinda
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Hideki Hiyama
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Koko Ishizuka
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Kun Yang
- grid.21107.350000 0001 2171 9311Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
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7
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Avazzadeh S, Quinlan LR, Reilly J, McDonagh K, Jalali A, Wang Y, McInerney V, Krawczyk J, Ding Y, Fitzgerald J, O'Sullivan M, Forman EB, Lynch SA, Ennis S, Feerick N, Reilly R, Li W, Shen X, Yang G, Lu Y, Peeters H, Dockery P, O'Brien T, Shen S, Gallagher L. NRXN1α +/- is associated with increased excitability in ASD iPSC-derived neurons. BMC Neurosci 2021; 22:56. [PMID: 34525970 PMCID: PMC8442436 DOI: 10.1186/s12868-021-00661-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/01/2021] [Indexed: 12/14/2022] Open
Abstract
Background NRXN1 deletions are identified as one of major rare risk factors for autism spectrum disorder (ASD) and other neurodevelopmental disorders. ASD has 30% co-morbidity with epilepsy, and the latter is associated with excessive neuronal firing. NRXN1 encodes hundreds of presynaptic neuro-adhesion proteins categorized as NRXN1α/β/γ. Previous studies on cultured cells show that the short NRXN1β primarily exerts excitation effect, whereas the long NRXN1α which is more commonly deleted in patients involves in both excitation and inhibition. However, patient-derived models are essential for understanding functional consequences of NRXN1α deletions in human neurons. We recently derived induced pluripotent stem cells (iPSCs) from five controls and three ASD patients carrying NRXN1α+/- and showed increased calcium transients in patient neurons. Methods In this study we investigated the electrophysiological properties of iPSC-derived cortical neurons in control and ASD patients carrying NRXN1α+/- using patch clamping. Whole genome RNA sequencing was carried out to further understand the potential underlying molecular mechanism. Results NRXN1α+/- cortical neurons were shown to display larger sodium currents, higher AP amplitude and accelerated depolarization time. RNASeq analyses revealed transcriptomic changes with significant upregulation glutamatergic synapse and ion channels/transporter activity including voltage-gated potassium channels (GRIN1, GRIN3B, SLC17A6, CACNG3, CACNA1A, SHANK1), which are likely to couple with the increased excitability in NRXN1α+/- cortical neurons. Conclusions Together with recent evidence of increased calcium transients, our results showed that human NRXN1α+/- isoform deletions altered neuronal excitability and non-synaptic function, and NRXN1α+/- patient iPSCs may be used as an ASD model for therapeutic development with calcium transients and excitability as readouts. Supplementary Information The online version contains supplementary material available at 10.1186/s12868-021-00661-0.
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Affiliation(s)
- Sahar Avazzadeh
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland
| | - Leo R Quinlan
- Physiology and Cellular Physiology Research Laboratory, School of Medicine, CÚRAM SFI Centre for Research in Medical Devices, National University of Ireland (NUI), Galway, Ireland
| | - Jamie Reilly
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland
| | - Katya McDonagh
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland
| | | | - Yanqin Wang
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland.,Department of Physiology, College of Life Science, Hebei Normal University, Shijiazhuang, China
| | - Veronica McInerney
- HRB Clinical Research Facility, National University of Ireland (NUI), Galway, Ireland
| | - Janusz Krawczyk
- Department of Haematology, Galway University Hospital, Galway, Ireland
| | - Yicheng Ding
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland
| | | | - Matthew O'Sullivan
- Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Eva B Forman
- Children's University Hospital, Temple Street, Dublin, Ireland
| | - Sally A Lynch
- Children's University Hospital, Temple Street, Dublin, Ireland.,Department of Clinical Genetics, OLCHC, Dublin 12, Ireland
| | - Sean Ennis
- School of Medicine and Medical Science, UCD Academic Centre On Rare Diseases, University College Dublin, Dublin, Ireland
| | - Niamh Feerick
- Centre for Bioengineering, Trinity College Institute of Neuroscience, School of Medicine, School of Engineering, Trinity College Dublin, Dublin, Ireland
| | - Richard Reilly
- Centre for Bioengineering, Trinity College Institute of Neuroscience, School of Medicine, School of Engineering, Trinity College Dublin, Dublin, Ireland
| | - Weidong Li
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xu Shen
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, 210023, China
| | - Guangming Yang
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yin Lu
- College of Pharmacy, Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Hilde Peeters
- Centre for Human Genetics, University Hospital Leuven, KU Leuven, 3000, Leuven, Belgium
| | - Peter Dockery
- Centre for Microscopy and Imaging, Anatomy, School of Medicine, National University of Ireland (NUI), Galway, Ireland
| | - Timothy O'Brien
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland
| | - Sanbing Shen
- School of Medicine, Regenerative Medicine Institute, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Ireland. .,FutureNeuro Research Centre, Royal College of Surgeons in Ireland, Dublin, D02, Ireland.
| | - Louise Gallagher
- Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
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8
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Yu Y, Werdyani S, Carey M, Parfrey P, Yilmaz YE, Savas S. A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer. Mol Oncol 2021; 15:3329-3347. [PMID: 34309201 PMCID: PMC8637572 DOI: 10.1002/1878-0261.13067] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/29/2021] [Accepted: 07/24/2021] [Indexed: 12/15/2022] Open
Abstract
We aimed to examine the associations of a genome-wide set of single nucleotide polymorphisms (SNPs) and 254 copy number variations (CNVs) and/or insertion/deletions (INDELs) with clinical outcomes in colorectal cancer patients (n = 505). We also aimed to investigate whether their associations changed (e.g., appeared, diminished) over time. Multivariable Cox proportional hazards and piece-wise Cox regression models were used to examine the associations. The Cancer Genome Atlas (TCGA) datasets were used for replication purposes and to examine the gene expression differences between tumor and nontumor tissue samples. A common SNP (WBP11-rs7314075) was associated with disease-specific survival with P-value of 3.2 × 10-8 . Association of this region with disease-specific survival was also detected in the TCGA patient cohort. Two expression quantitative trait loci (eQTLs) were identified in this locus that were implicated in the regulation of ERP27 expression. Interestingly, expression levels of ERP27 and WBP11 were significantly different between colorectal tumors and nontumor tissues. Three SNPs predicted the risk of recurrent disease only after 5 years postdiagnosis. Overall, our study identified novel variants, one of which also showed an association in the TCGA dataset, but no CNVs/INDELs, that associated with outcomes in colorectal cancer. Three SNPs were candidate predictors of long-term recurrence/metastasis risk.
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Affiliation(s)
- Yajun Yu
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada
| | - Salem Werdyani
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada
| | - Megan Carey
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada
| | - Patrick Parfrey
- Discipline of Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada
| | - Yildiz E Yilmaz
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.,Discipline of Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada.,Department of Mathematics and Statistics, Faculty of Science, Memorial University, St. John's, NL, Canada
| | - Sevtap Savas
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.,Discipline of Oncology, Faculty of Medicine, Memorial University, St. John's, NL, Canada
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9
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A Variation in FGF14 Is Associated with Downbeat Nystagmus in a Genome-Wide Association Study. THE CEREBELLUM 2021; 19:348-357. [PMID: 32157568 PMCID: PMC7198638 DOI: 10.1007/s12311-020-01113-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Downbeat nystagmus (DBN) is a frequent form of acquired persisting central fixation nystagmus, often associated with other cerebellar ocular signs, such as saccadic smooth pursuit or gaze-holding deficits. Despite its distinct clinical features, the underlying etiology of DBN often remains unclear. Therefore, a genome-wide association study (GWAS) was conducted in 106 patients and 2609 healthy controls of European ancestry to identify genetic variants associated with DBN. A genome-wide significant association (p < 5 × 10-8) with DBN was found for a variation on chromosome 13 located within the fibroblast growth factor 14 gene (FGF14). FGF14 is expressed in Purkinje cells (PCs) and a reduction leads to a decreased spontaneous firing rate and excitability of PCs, compatible with the pathophysiology of DBN. In addition, mutations in the FGF14 gene cause spinocerebellar ataxia type 27. Suggestive associations (p < 1 × 10-05) could be detected for 15 additional LD-independent loci, one of which is also located in the FGF14 gene. An association of a region containing the dihydrofolate reductase (DHFR) and MutS Homolog 3 (MSH3) genes on chromosome 5 was slightly below the genome-wide significance threshold. DHFR is relevant for neuronal regulation, and a dysfunction is known to induce cerebellar damage. Among the remaining twelve suggestive associations, four genes (MAST4, TPPP, FTMT, and IDS) seem to be involved in cerebral pathological processes. Thus, this GWAS analysis has identified a potential genetic contribution to idiopathic DBN, including suggestive associations to several genes involved in postulated pathological mechanisms of DBN (i.e., impaired function of cerebellar PCs).
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10
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Tromp A, Mowry B, Giacomotto J. Neurexins in autism and schizophrenia-a review of patient mutations, mouse models and potential future directions. Mol Psychiatry 2021; 26:747-760. [PMID: 33191396 DOI: 10.1038/s41380-020-00944-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/15/2020] [Accepted: 10/26/2020] [Indexed: 01/29/2023]
Abstract
Mutations in the family of neurexins (NRXN1, NRXN2 and NRXN3) have been repeatedly identified in patients with autism spectrum disorder (ASD) and schizophrenia (SCZ). However, it remains unclear how these DNA variants affect neurexin functions and thereby predispose to these neurodevelopmental disorders. Understanding both the wild-type and pathologic roles of these genes in the brain could help unveil biological mechanisms underlying mental disorders. In this regard, numerous studies have focused on generating relevant loss-of-function (LOF) mammalian models. Although this has increased our knowledge about their normal functions, the potential pathologic role(s) of these human variants remains elusive. Indeed, after reviewing the literature, it seems apparent that a traditional LOF-genetic approach based on complete LOF might not be sufficient to unveil the role of these human mutations. First, these genes present a very complex transcriptome and total-LOF of all isoforms may not be the cause of toxicity in patients, particularly given evidence that causative variants act through haploinsufficiency. Moreover, human DNA variants may not all lead to LOF but potentially to intricate transcriptome changes that could also include the generation of aberrant isoforms acting as a gain-of-function (GOF). Furthermore, their transcriptomic complexity most likely renders them prone to genetic compensation when one tries to manipulate them using traditional site-directed mutagenesis approaches, and this could act differently from model to model leading to heterogeneous and conflicting phenotypes. This review compiles the relevant literature on variants identified in human studies and on the mouse models currently deployed, and offers suggestions for future research.
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Affiliation(s)
- Alisha Tromp
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Bryan Mowry
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia.
| | - Jean Giacomotto
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia.
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11
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Stertz L, Di Re J, Pei G, Fries GR, Mendez E, Li S, Smith-Callahan L, Raventos H, Tipo J, Cherukuru R, Zhao Z, Liu Y, Jia P, Laezza F, Walss-Bass C. Convergent genomic and pharmacological evidence of PI3K/GSK3 signaling alterations in neurons from schizophrenia patients. Neuropsychopharmacology 2021; 46:673-682. [PMID: 33288841 PMCID: PMC8027596 DOI: 10.1038/s41386-020-00924-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 12/12/2022]
Abstract
Human-induced pluripotent stem cells (hiPSCs) allow for the establishment of brain cellular models of psychiatric disorders that account for a patient's genetic background. Here, we conducted an RNA-sequencing profiling study of hiPSC-derived cell lines from schizophrenia (SCZ) subjects, most of which are from a multiplex family, from the population isolate of the Central Valley of Costa Rica. hiPSCs, neural precursor cells, and cortical neurons derived from six healthy controls and seven SCZ subjects were generated using standard methodology. Transcriptome from these cells was obtained using Illumina HiSeq 2500, and differential expression analyses were performed using DESeq2 (|fold change|>1.5 and false discovery rate < 0.3), in patients compared to controls. We identified 454 differentially expressed genes in hiPSC-derived neurons, enriched in pathways including phosphoinositide 3-kinase/glycogen synthase kinase 3 (PI3K/GSK3) signaling, with serum-glucocorticoid kinase 1 (SGK1), an inhibitor of glycogen synthase kinase 3β, as part of this pathway. We further found that pharmacological inhibition of downstream effectors of the PI3K/GSK3 pathway, SGK1 and GSK3, induced alterations in levels of neurite markers βIII tubulin and fibroblast growth factor 12, with differential effects in patients compared to controls. While demonstrating the utility of hiPSCs derived from multiplex families to identify significant cell-specific gene network alterations in SCZ, these studies support a role for disruption of PI3K/GSK3 signaling as a risk factor for SCZ.
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Affiliation(s)
- Laura Stertz
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jessica Di Re
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Guangsheng Pei
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Gabriel R Fries
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Emily Mendez
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Shenglan Li
- Institute of Molecular Medicine for the Prevention of Human Diseases, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Laura Smith-Callahan
- Institute of Molecular Medicine for the Prevention of Human Diseases, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Henriette Raventos
- Centro de Investigacion en Biologia Celular y Molecular, Universidad de Costa Rica, San Jose, Costa Rica
| | - Jerricho Tipo
- School of Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Rohan Cherukuru
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Zhongming Zhao
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ying Liu
- Institute of Molecular Medicine for the Prevention of Human Diseases, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Fernanda Laezza
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Consuelo Walss-Bass
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
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12
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Su Y, Yang L, Li Z, Wang W, Xing M, Fang Y, Cheng Y, Lin GN, Cui D. The interaction of ASAH1 and NGF gene involving in neurotrophin signaling pathway contributes to schizophrenia susceptibility and psychopathology. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110015. [PMID: 32569620 DOI: 10.1016/j.pnpbp.2020.110015] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 05/23/2020] [Accepted: 06/09/2020] [Indexed: 02/07/2023]
Abstract
The neurodevelopmental hypothesis of schizophrenia has been widely accepted. In light of our previous microarray data, two neurodevelopment-related genes were focused on inclduing the N-acylsphingosine amidohydrolase 1 gene (ASAH1) and the nerve growth factor gene (NGF). The evidence that ASAH1 and NGF are associated with schizophrenia is far from conclusive. Furthermore, their interactions in schizophrenia have not been investigated. Total 413 patients and 578 controls were included. Eleven single-nucleotide polymorphisms (SNPs) in ASAH1 and NGF were selected. A multifactor dimensionality reduction (MDR) was applied to investigate gene-gene interactions in schizophrenia, and the traditional odds ratio methods was applied to validate it. The effects of ASAH1, NGF and their interaction on the severity of the disease were analyzed by 3 × 3 covariance analysis of (ANCOVA). The biological interaction between ASAH1 and NGF was examined. KEGG was used to identify the related signaling pathways. After correction by Bonferroni, there were no differences in the genotypic, allelic, or haplotypic frequencies of 11 SNPs between patients and controls. However, the interaction of certain SNPs had effect on susceptibility to schizophrenia, including two high-risk and one low-risk genotypic combinations (OR = 1.49 [1.11-2.00]; OR = 1.45 [1.09-1.92], and OR = 0.64 [0.41-0.98]). ASAH1-rs7830490 and its interaction with NGF-rs4332358 were associated with the general psychopathological subscale score (F adjusted = 3.94, p adjusted = 0.01; F adjusted = 2.36, p adjusted = 0.03). We also found that ASAH1 and NGF interacted with CaMK2B involving in the neurotrophin signaling pathway. Our results suggest that the interaction of ASAH1 and NGF with CaMK2B involved in neurotrophin signaling pathway may contribute to schizophrenia susceptibility and psychopathology.
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Affiliation(s)
- Yousong Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lu Yang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zezhi Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Weidi Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Mengjuan Xing
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Cheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guan Ning Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Donghong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China.
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13
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Zhang J, Xia K, Ahn M, Jha SC, Blanchett R, Crowley JJ, Szatkiewicz JP, Zou F, Zhu H, Styner M, Gilmore JH, Knickmeyer RC. Genome-Wide Association Analysis of Neonatal White Matter Microstructure. Cereb Cortex 2021; 31:933-948. [PMID: 33009551 PMCID: PMC7786356 DOI: 10.1093/cercor/bhaa266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 07/15/2020] [Accepted: 08/16/2020] [Indexed: 11/14/2022] Open
Abstract
A better understanding of genetic influences on early white matter development could significantly advance our understanding of neurological and psychiatric conditions characterized by altered integrity of axonal pathways. We conducted a genome-wide association study (GWAS) of diffusion tensor imaging (DTI) phenotypes in 471 neonates. We used a hierarchical functional principal regression model (HFPRM) to perform joint analysis of 44 fiber bundles. HFPRM revealed a latent measure of white matter microstructure that explained approximately 50% of variation in our tractography-based measures and accounted for a large proportion of heritable variation in each individual bundle. An intronic SNP in PSMF1 on chromosome 20 exceeded the conventional GWAS threshold of 5 x 10-8 (p = 4.61 x 10-8). Additional loci nearing genome-wide significance were located near genes with known roles in axon growth and guidance, fasciculation, and myelination.
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Affiliation(s)
- J Zhang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - K Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - M Ahn
- Department of Mathematics and Statistics, University of Nevada, Reno, NV, USA
| | - S C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - R Blanchett
- Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI, USA
| | - J J Crowley
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - J P Szatkiewicz
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - F Zou
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - H Zhu
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - M Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - R C Knickmeyer
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Department of Pediatrics and Human Development, Michigan State University, East Lansing, MI, USA
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA
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14
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Genome-wide association study for circulating fibroblast growth factor 21 and 23. Sci Rep 2020; 10:14578. [PMID: 32884031 PMCID: PMC7471933 DOI: 10.1038/s41598-020-71569-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 08/06/2020] [Indexed: 11/09/2022] Open
Abstract
Fibroblast growth factors (FGFs) 21 and 23 are recently identified hormones regulating metabolism of glucose, lipid, phosphate and vitamin D. Here we conducted a genome-wide association study (GWAS) for circulating FGF21 and FGF23 concentrations to identify their genetic determinants. We enrolled 5,000 participants from Taiwan Biobank for this GWAS. After excluding participants with diabetes mellitus and quality control, association of single nucleotide polymorphisms (SNPs) with log-transformed FGF21 and FGF23 serum concentrations adjusted for age, sex and principal components of ancestry were analyzed. A second model additionally adjusted for body mass index (BMI) and a third model additionally adjusted for BMI and estimated glomerular filtration rate (eGFR) were used. A total of 4,201 participants underwent GWAS analysis. rs67327215, located within RGS6 (a gene involved in fatty acid synthesis), and two other SNPs (rs12565114 and rs9520257, located between PHC2-ZSCAN20 and ARGLU1-FAM155A respectively) showed suggestive associations with serum FGF21 level (P = 6.66 × 10–7, 6.00 × 10–7 and 6.11 × 10–7 respectively). The SNPs rs17111495 and rs17843626 were significantly associated with FGF23 level, with the former near PCSK9 gene and the latter near HLA-DQA1 gene (P = 1.04 × 10–10 and 1.80 × 10–8 respectively). SNP rs2798631, located within the TGFB2 gene, was suggestively associated with serum FGF23 level (P = 4.97 × 10–7). Additional adjustment for BMI yielded similar results. For FGF23, further adjustment for eGFR had similar results. We conducted the first GWAS of circulating FGF21 levels to date. Novel candidate genetic loci associated with circulating FGF21 or FGF23 levels were found. Further replication and functional studies are needed to support our findings.
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15
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Zhang Z, Chen G. A logical relationship for schizophrenia, bipolar, and major depressive disorder. Part 1: Evidence from chromosome 1 high density association screen. J Comp Neurol 2020; 528:2620-2635. [PMID: 32266715 DOI: 10.1002/cne.24921] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/28/2020] [Accepted: 03/30/2020] [Indexed: 12/16/2022]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was investigated systematically (Aukes et al., Genetics in Medicine, 2012, 14, 338-341) and any two or even three of these disorders could coexist in some families. Furthermore, evidence from symptomatology and psychopharmacology also imply the existence of intrinsic connections between these three major psychiatric disorders. A total of 71,445 SNPs on chromosome 1 were genotyped on 119 SCZ, 253 BPD (type-I), 177 MDD cases and 1000 controls and further validated in 986 SCZ patients in the population of Shandong province of China. Outstanding psychosis genes are systematically revealed( ATP1A4, ELTD1, FAM5C, HHAT, KIF26B, LMX1A, NEGR1, NFIA, NR5A2, NTNG1, PAPPA2, PDE4B, PEX14, RYR2, SYT6, TGFBR3, TTLL7, and USH2A). Unexpectedly, flanking genes for up to 97.09% of the associated SNPs were also replicated in an enlarged cohort of 986 SCZ patients. From the perspective of etiological rather than clinical psychiatry, bipolar, and major depressive disorder could be subtypes of schizophrenia. Meanwhile, the varied clinical feature and prognosis might be the result of interaction of genetics and epigenetics, for example, irreversible or reversible shut down, and over or insufficient expression of certain genes, which may gives other aspects of these severe mental disorders.
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Affiliation(s)
- Zhihua Zhang
- Shandong Mental Health Center, Jinan, Shandong, China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, China
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16
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Association between a TCF4 Polymorphism and Susceptibility to Schizophrenia. BIOMED RESEARCH INTERNATIONAL 2020; 2020:1216303. [PMID: 32280673 PMCID: PMC7115149 DOI: 10.1155/2020/1216303] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 12/09/2019] [Accepted: 01/03/2020] [Indexed: 12/20/2022]
Abstract
The basic helix-loop-helix (bHLH) transcription factor 4 (TCF4) had been identified as a susceptibility gene associated with schizophrenia (SCZ) by GWAS, but inconsistent results have been found in other studies. To validate these findings and to reveal the effects of different inheritance models, rs2958182, rs1261085, rs8766, and rs12966547 of the TCF4 gene were genotyped in the Northwest Han Chinese population (448 cases and 628 controls) via a multiplex polymerase chain reaction SNPscan assay. Single SNP, genotype, and association analyses with three different models were performed. We observed genotype and allele distributions of four SNPs that showed nonsignificant associations in the Northwest Han Chinese population. However, published datasets (51,892 cases and 68,498 controls) were collected and combined with our experimental results to ascertain the association of the TCF4 gene SNPs and SCZ, which demonstrated that rs2958182 (P=0.003) was a significant signal based on a systematic meta-analysis. To clarify the biological role of rs2958182, it is important to improve the understanding of the pathophysiology of SCZ.
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17
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Bartlett AA, Hunter RG. Chromatin Immunoprecipitation Techniques in Neuropsychiatric Research. Methods Mol Biol 2020; 2011:633-645. [PMID: 31273725 DOI: 10.1007/978-1-4939-9554-7_36] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Neuropsychiatric disorders are highly prevalent (e.g., affecting children 2-8 years old at a rate of 14%). Many of these disorders are highly heritable such as major depressive disorder and schizophrenia. Despite this, genome-wide association has failed to identify gene(s) significantly associated with diagnostic status suggesting a strong role for environmental factors and the epigenome. From a molecular standpoint, the study of DNA-protein interactions yields fruitful information regarding the regulation of cellular processes above the level of the nucleotide sequence. Understanding chromatin dynamics may continue to explain individual variation to environmental perturbation and subsequent behavioral response. Chromatin immunoprecipitation (ChIP) techniques have allowed for probing of epigenetic effectors at specific regions of the genome. The following article reviews the current techniques and considerations when incorporation ChIP into neuropsychiatric models.
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Affiliation(s)
- Andrew A Bartlett
- Department of Psychology, University of Massachusetts, Boston, Boston, MA, USA
| | - Richard G Hunter
- Department of Psychology, University of Massachusetts, Boston, Boston, MA, USA. .,Laboratory of Neuroendocrinology, The Rockefeller University, New York, NY, USA.
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18
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Cai Y, Rosen Vollmar AK, Johnson CH. Analyzing Metabolomics Data for Environmental Health and Exposome Research. Methods Mol Biol 2020; 2104:447-467. [PMID: 31953830 DOI: 10.1007/978-1-0716-0239-3_22] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The exposome is the cumulative measure of environmental influences and associated biological responses across the life span, with critical relevance for understanding how exposures can impact human health. Metabolomics analysis of biological samples offers unique advantages for examining the exposome. Simultaneous analysis of external exposures, biological responses, and host susceptibility at a systems level can help establish links between external exposures and health outcomes. As metabolomics technologies continue to evolve for the study of the exposome, metabolomics ultimately will help provide valuable insights for exposure risk assessment, and disease prevention and management. Here, we discuss recent advances in metabolomics, and describe data processing protocols that can enable analysis of the exposome. This chapter focuses on using liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics for analysis of the exposome, including (1) preprocessing of untargeted metabolomics data, (2) identification of exposure chemicals and their metabolites, and (3) methods to establish associations between exposures and diseases.
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Affiliation(s)
- Yuping Cai
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Ana K Rosen Vollmar
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Caroline Helen Johnson
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
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19
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Avazzadeh S, McDonagh K, Reilly J, Wang Y, Boomkamp SD, McInerney V, Krawczyk J, Fitzgerald J, Feerick N, O'Sullivan M, Jalali A, Forman EB, Lynch SA, Ennis S, Cosemans N, Peeters H, Dockery P, O'Brien T, Quinlan LR, Gallagher L, Shen S. Increased Ca 2+ signaling in NRXN1α +/- neurons derived from ASD induced pluripotent stem cells. Mol Autism 2019; 10:52. [PMID: 31893021 PMCID: PMC6937972 DOI: 10.1186/s13229-019-0303-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 12/05/2019] [Indexed: 12/28/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a high co-morbidity of epilepsy and associated with hundreds of rare risk factors. NRXN1 deletion is among the commonest rare genetic factors shared by ASD, schizophrenia, intellectual disability, epilepsy, and developmental delay. However, how NRXN1 deletions lead to different clinical symptoms is unknown. Patient-derived cells are essential to investigate the functional consequences of NRXN1 lesions to human neurons in different diseases. Methods Skin biopsies were donated by five healthy donors and three ASD patients carrying NRXN1α+/− deletions. Seven control and six NRXN1α+/− iPSC lines were derived and differentiated into day 100 cortical excitatory neurons using dual SMAD inhibition. Calcium (Ca2+) imaging was performed using Fluo4-AM, and the properties of Ca2+ transients were compared between two groups of neurons. Transcriptome analysis was carried out to undercover molecular pathways associated with NRXN1α+/− neurons. Results NRXN1α+/− neurons were found to display altered calcium dynamics, with significantly increased frequency, duration, and amplitude of Ca2+ transients. Whole genome RNA sequencing also revealed altered ion transport and transporter activity, with upregulated voltage-gated calcium channels as one of the most significant pathways in NRXN1α+/− neurons identified by STRING and GSEA analyses. Conclusions This is the first report to show that human NRXN1α+/− neurons derived from ASD patients’ iPSCs present novel phenotypes of upregulated VGCCs and increased Ca2+ transients, which may facilitate the development of drug screening assays for the treatment of ASD.
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Affiliation(s)
- Sahar Avazzadeh
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
| | - Katya McDonagh
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
| | - Jamie Reilly
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
| | - Yanqin Wang
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland.,2Department of Physiology, College of Life Science, Hebei Normal University, Shijiazhuang, China
| | - Stephanie D Boomkamp
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
| | - Veronica McInerney
- 3HRB Clinical Research Facility, National University of Ireland (NUI), Galway, Ireland
| | - Janusz Krawczyk
- 4Department of Haematology, Galway University Hospital, Galway, Ireland
| | | | - Niamh Feerick
- 5School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Amirhossein Jalali
- 6School of Medicine, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Eva B Forman
- 7Children's University Hospital, Temple Street, Dublin, Ireland
| | - Sally A Lynch
- Department of Clinical Genetics, OLCHC, Dublin 12, Ireland.,9Children's University Hospital, Temple St, Dublin, Ireland.,10Academic Center on Rare Diseases, School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
| | - Sean Ennis
- 11UCD Academic Centre on Rare Diseases, School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
| | - Nele Cosemans
- 12Centre for Human Genetics, University Hospital Leuven, KU Leuven, 3000 Leuven, Belgium
| | - Hilde Peeters
- 10Academic Center on Rare Diseases, School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
| | - Peter Dockery
- 13Centre for Microscopy and Imaging, Anatomy, School of Medicine, National University of Ireland (NUI), Galway, Ireland
| | - Timothy O'Brien
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
| | - Leo R Quinlan
- 14Physiology and Human Movement Laboratory, CÚRAM SFI Centre for Research in Medical Devices, School of Medicine, National University of Ireland (NUI), Galway, Ireland
| | | | - Sanbing Shen
- 1Regenerative Medicine Institute, School of Medicine, Biomedical Science Building BMS-1021, National University of Ireland Galway, Dangan, Upper Newcastle, Galway, Ireland
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20
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Yin L, Chau CK, Sham PC, So HC. Integrating Clinical Data and Imputed Transcriptome from GWAS to Uncover Complex Disease Subtypes: Applications in Psychiatry and Cardiology. Am J Hum Genet 2019; 105:1193-1212. [PMID: 31785786 DOI: 10.1016/j.ajhg.2019.10.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 10/22/2019] [Indexed: 12/19/2022] Open
Abstract
Classifying subjects into clinically and biologically homogeneous subgroups will facilitate the understanding of disease pathophysiology and development of targeted prevention and intervention strategies. Traditionally, disease subtyping is based on clinical characteristics alone, but subtypes identified by such an approach may not conform exactly to the underlying biological mechanisms. Very few studies have integrated genomic profiles (e.g., those from GWASs) with clinical symptoms for disease subtyping. Here we proposed an analytic framework capable of finding complex diseases subgroups by leveraging both GWAS-predicted gene expression levels and clinical data by a multi-view bicluster analysis. This approach connects SNPs to genes via their effects on expression, so the analysis is more biologically relevant and interpretable than a pure SNP-based analysis. Transcriptome of different tissues can also be readily modeled. We also proposed various evaluation metrics for assessing clustering performance. Our framework was able to subtype schizophrenia subjects into diverse subgroups with different prognosis and treatment response. We also applied the framework to the Northern Finland Birth Cohort (NFBC) 1966 dataset and identified high and low cardiometabolic risk subgroups in a gender-stratified analysis. The prediction strength by cross-validation was generally greater than 80%, suggesting good stability of the clustering model. Our results suggest a more data-driven and biologically informed approach to defining metabolic syndrome and subtyping psychiatric disorders. Moreover, we found that the genes "blindly" selected by the algorithm are significantly enriched for known susceptibility genes discovered in GWASs of schizophrenia or cardiovascular diseases. The proposed framework opens up an approach to subject stratification.
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21
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Espregueira Themudo G, Leerschool AR, Rodriguez-Proano C, Christiansen SL, Andersen JD, Busch JR, Christensen MR, Banner J, Morling N. Targeted exon sequencing in deceased schizophrenia patients in Denmark. Int J Legal Med 2019; 134:135-147. [PMID: 31773318 DOI: 10.1007/s00414-019-02212-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/13/2019] [Indexed: 12/26/2022]
Abstract
Schizophrenia patients have higher mortality rates and lower life expectancy than the general population. However, forensic investigations of their deaths often fail to determine the cause of death, hindering prevention. As schizophrenia is a highly heritable condition and given recent advances in our understanding of the genetics of schizophrenia, it is now possible to investigate how genetic factors may contribute to mortality. We made use of findings from genome-wide association studies (GWAS) to design a targeted panel (PsychPlex) for sequencing of exons of 451 genes near index single nucleotide polymorphisms (SNPs) identified with GWAS. We sequenced the DNA of 95 deceased schizophrenia patients included in SURVIVE, a prospective, autopsy-based study of mentally ill persons in Denmark. We compared the allele frequencies of 1039 SNPs in these cases with the frequencies of 2000 Danes without psychiatric diseases and calculated their deleteriousness (CADD) scores. For 81 SNPs highly associated with schizophrenia and CADD scores above 15, expression profiles in the Genotype-Tissue Expression (GTEx) Project indicated that these variants were in exons, whose expressions are increased in several types of brain tissues, particularly in the cerebellum. Molecular pathway analysis indicated the involvement of 163 different pathways. As for rare SNP variants, most variants were scored as either benign or likely benign with an average of 17 variants of unknown significance per individual and no pathogenic variant. Our results highlight the potential of DNA sequencing of an exon panel to discover genetic factors that may be involved in the development of schizophrenia.
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Affiliation(s)
- Gonçalo Espregueira Themudo
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,CIIMAR - Interdisciplinary Centre of Marine and Environmental Research of the University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal.
| | - Anna-Roos Leerschool
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Complex Genetics, Maastricht University, PO Box 616 6200, MD, Maastricht, The Netherlands
| | - Carla Rodriguez-Proano
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Clinical Laboratory, Ambulatory Clinical Surgical Center and Day Hospital "El Batán", Quito, Ecuador
| | - Sofie Lindgren Christiansen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeppe Dyrberg Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johannes Rødbro Busch
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Martin Roest Christensen
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Banner
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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22
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Hu Z, Xiao X, Zhang Z, Li M. Genetic insights and neurobiological implications from NRXN1 in neuropsychiatric disorders. Mol Psychiatry 2019; 24:1400-1414. [PMID: 31138894 DOI: 10.1038/s41380-019-0438-9] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 03/31/2019] [Accepted: 04/29/2019] [Indexed: 02/08/2023]
Abstract
Many neuropsychiatric and neurodevelopmental disorders commonly share genetic risk factors. To date, the mechanisms driving the pathogenesis of these disorders, particularly how genetic variations affect the function of risk genes and contribute to disease symptoms, remain largely unknown. Neurexins are a family of synaptic adhesion molecules, which play important roles in the formation and establishment of synaptic structure, as well as maintenance of synaptic function. Accumulating genomic findings reveal that genetic variations within genes encoding neurexins are associated with a variety of psychiatric conditions such as schizophrenia, autism spectrum disorder, and some developmental abnormalities. In this review, we focus on NRXN1, one of the most compelling psychiatric risk genes of the neurexin family. We performed a comprehensive survey and analysis of current genetic and molecular data including both common and rare alleles within NRXN1 associated with psychiatric illnesses, thus providing insights into the genetic risk conferred by NRXN1. We also summarized the neurobiological evidences, supporting the function of NRXN1 and its protein products in synaptic formation, organization, transmission and plasticity, as well as disease-relevant behaviors, and assessed the mechanistic link between the mutations of NRXN1 and synaptic and behavioral pathology in neuropsychiatric disorders.
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Affiliation(s)
- Zhonghua Hu
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China. .,National Clinical Research Center on Mental Disorders, Changsha, Hunan, China.
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhuohua Zhang
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.,Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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23
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Prata DP, Costa-Neves B, Cosme G, Vassos E. Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review. J Psychiatr Res 2019; 114:178-207. [PMID: 31096178 DOI: 10.1016/j.jpsychires.2019.04.007] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To systematically review findings of GWAS in schizophrenia (SZ) and in bipolar disorder (BD); and to interpret findings, with a focus on identifying independent replications. METHOD PubMed search, selection and review of all independent GWAS in SZ or BD, published since March 2011, i.e. studies using non-overlapping samples within each article, between articles, and with those of the previous review (Li et al., 2012). RESULTS From the 22 GWAS included in this review, the genetic associations surviving standard GWAS-significance were for genetic markers in the regions of ACSL3/KCNE4, ADCY2, AMBRA1, ANK3, BRP44, DTL, FBLN1, HHAT, INTS7, LOC392301, LOC645434/NMBR, LOC729457, LRRFIP1, LSM1, MDM1, MHC, MIR2113/POU3F2, NDST3, NKAPL, ODZ4, PGBD1, RENBP, TRANK1, TSPAN18, TWIST2, UGT1A1/HJURP, WHSC1L1/FGFR1 and ZKSCAN4. All genes implicated across both reviews are discussed in terms of their function and implication in neuropsychiatry. CONCLUSION Taking all GWAS to date into account, AMBRA1, ANK3, ARNTL, CDH13, EFHD1 (albeit with different alleles), MHC, PLXNA2 and UGT1A1 have been implicated in either disorder in at least two reportedly non-overlapping samples. Additionally, evidence for a SZ/BD common genetic basis is most strongly supported by the implication of ANK3, NDST3, and PLXNA2.
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Affiliation(s)
- Diana P Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, UK; Instituto Universitário de Lisboa (ISCTE-IUL), Centro de Investigação e Intervenção Social, Lisboa, Portugal.
| | - Bernardo Costa-Neves
- Lisbon Medical School, University of Lisbon, Av. Professor Egas Moniz, 1649-028, Lisbon, Portugal; Centro Hospitalar Psiquiátrico de Lisboa, Av. do Brasil, 53 1749-002, Lisbon, Portugal
| | - Gonçalo Cosme
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, 16 De Crespigny Park, SE5 8AF, UK
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24
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Bem J, Brożko N, Chakraborty C, Lipiec MA, Koziński K, Nagalski A, Szewczyk ŁM, Wiśniewska MB. Wnt/β-catenin signaling in brain development and mental disorders: keeping TCF7L2 in mind. FEBS Lett 2019. [PMID: 31218672 DOI: 10.1002/1873−3468.13502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Canonical Wnt signaling, which is transduced by β-catenin and lymphoid enhancer factor 1/T cell-specific transcription factors (LEF1/TCFs), regulates many aspects of metazoan development and tissue renewal. Although much evidence has associated canonical Wnt/β-catenin signaling with mood disorders, the mechanistic links are still unknown. Many components of the canonical Wnt pathway are involved in cellular processes that are unrelated to classical canonical Wnt signaling, thus further blurring the picture. The present review critically evaluates the involvement of classical Wnt/β-catenin signaling in developmental processes that putatively underlie the pathology of mental illnesses. Particular attention is given to the roles of LEF1/TCFs, which have been discussed surprisingly rarely in this context. Highlighting recent discoveries, we propose that alterations in the activity of LEF1/TCFs, and particularly of transcription factor 7-like 2 (TCF7L2), result in defects previously associated with neuropsychiatric disorders, including imbalances in neurogenesis and oligodendrogenesis, the functional disruption of thalamocortical circuitry and dysfunction of the habenula.
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Affiliation(s)
- Joanna Bem
- Centre of New Technologies, University of Warsaw, Poland
| | - Nikola Brożko
- Centre of New Technologies, University of Warsaw, Poland
| | | | | | - Kamil Koziński
- Centre of New Technologies, University of Warsaw, Poland
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25
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Bem J, Brożko N, Chakraborty C, Lipiec MA, Koziński K, Nagalski A, Szewczyk ŁM, Wiśniewska MB. Wnt/β-catenin signaling in brain development and mental disorders: keeping TCF7L2 in mind. FEBS Lett 2019; 593:1654-1674. [PMID: 31218672 PMCID: PMC6772062 DOI: 10.1002/1873-3468.13502] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/13/2019] [Accepted: 06/14/2019] [Indexed: 12/12/2022]
Abstract
Canonical Wnt signaling, which is transduced by β-catenin and lymphoid enhancer factor 1/T cell-specific transcription factors (LEF1/TCFs), regulates many aspects of metazoan development and tissue renewal. Although much evidence has associated canonical Wnt/β-catenin signaling with mood disorders, the mechanistic links are still unknown. Many components of the canonical Wnt pathway are involved in cellular processes that are unrelated to classical canonical Wnt signaling, thus further blurring the picture. The present review critically evaluates the involvement of classical Wnt/β-catenin signaling in developmental processes that putatively underlie the pathology of mental illnesses. Particular attention is given to the roles of LEF1/TCFs, which have been discussed surprisingly rarely in this context. Highlighting recent discoveries, we propose that alterations in the activity of LEF1/TCFs, and particularly of transcription factor 7-like 2 (TCF7L2), result in defects previously associated with neuropsychiatric disorders, including imbalances in neurogenesis and oligodendrogenesis, the functional disruption of thalamocortical circuitry and dysfunction of the habenula.
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Affiliation(s)
- Joanna Bem
- Centre of New TechnologiesUniversity of WarsawPoland
| | - Nikola Brożko
- Centre of New TechnologiesUniversity of WarsawPoland
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26
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Castronovo P, Baccarin M, Ricciardello A, Picinelli C, Tomaiuolo P, Cucinotta F, Frittoli M, Lintas C, Sacco R, Persico AM. Phenotypic spectrum of NRXN1 mono- and bi-allelic deficiency: A systematic review. Clin Genet 2019; 97:125-137. [PMID: 30873608 DOI: 10.1111/cge.13537] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 03/01/2019] [Accepted: 03/10/2019] [Indexed: 01/13/2023]
Abstract
Neurexins are presynaptic cell adhesion molecules critically involved in synaptogenesis and vesicular neurotransmitter release. They are encoded by three genes (NRXN1-3), each yielding a longer alpha (α) and a shorter beta (β) transcript. Deletions spanning the promoter and the initial exons of the NRXN1 gene, located in chromosome 2p16.3, are associated with a variety of neurodevelopmental, psychiatric, neurological and neuropsychological phenotypes. We have performed a systematic review to define (a) the clinical phenotypes most associated with mono-allelic exonic NRXN1 deletions, and (b) the phenotypic features of NRXN1 bi-allelic deficiency due to compound heterozygous deletions/mutations. Clinically, three major conclusions can be drawn: (a) incomplete penetrance and pleiotropy do not allow reliable predictions of clinical outcome following prenatal detection of mono-allelic exonic NRXN1 deletions. Newborn carriers should undergo periodic neuro-behavioral observations for the timely detection of warning signs and the prescription of early behavioral intervention; (b) the presence of additional independent genetic risk factors should always be sought, as they may influence prognosis; (c) children with exonic NRXN1 deletions displaying early-onset, severe psychomotor delay in the context of a Pitt-Hopkins-like syndrome 2 phenotype, should undergo DNA sequencing of the spared NRXN1 allele in search for mutations or very small insertions/deletions.
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Affiliation(s)
- Paola Castronovo
- Laboratory for Pervasive Developmental Disorders, Mafalda Luce Center, Milan, Italy
| | - Marco Baccarin
- Laboratory for Pervasive Developmental Disorders, Mafalda Luce Center, Milan, Italy
| | - Arianna Ricciardello
- Interdepartmental Program "Autism 0-90", "Gaetano Martino" University Hospital, University of Messina, Messina, Italy
| | - Chiara Picinelli
- Laboratory for Pervasive Developmental Disorders, Mafalda Luce Center, Milan, Italy
| | - Pasquale Tomaiuolo
- Laboratory for Pervasive Developmental Disorders, Mafalda Luce Center, Milan, Italy
| | - Francesca Cucinotta
- Interdepartmental Program "Autism 0-90", "Gaetano Martino" University Hospital, University of Messina, Messina, Italy
| | - Myriam Frittoli
- Laboratory for Pervasive Developmental Disorders, Mafalda Luce Center, Milan, Italy
| | - Carla Lintas
- Service for Neurodevelopmental Disorders & Laboratory of Molecular Psychiatry and Neurogenetics, University "Campus Bio-Medico", Rome, Italy
| | - Roberto Sacco
- Service for Neurodevelopmental Disorders & Laboratory of Molecular Psychiatry and Neurogenetics, University "Campus Bio-Medico", Rome, Italy
| | - Antonio M Persico
- Interdepartmental Program "Autism 0-90", "Gaetano Martino" University Hospital, University of Messina, Messina, Italy
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27
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Kun-Rodrigues C, Orme T, Carmona S, Hernandez DG, Ross OA, Eicher JD, Shepherd C, Parkkinen L, Darwent L, Heckman MG, Scholz SW, Troncoso JC, Pletnikova O, Dawson T, Rosenthal L, Ansorge O, Clarimon J, Lleo A, Morenas-Rodriguez E, Clark L, Honig LS, Marder K, Lemstra A, Rogaeva E, St George-Hyslop P, Londos E, Zetterberg H, Barber I, Braae A, Brown K, Morgan K, Troakes C, Al-Sarraj S, Lashley T, Holton J, Compta Y, Van Deerlin V, Serrano GE, Beach TG, Lesage S, Galasko D, Masliah E, Santana I, Pastor P, Diez-Fairen M, Aguilar M, Tienari PJ, Myllykangas L, Oinas M, Revesz T, Lees A, Boeve BF, Petersen RC, Ferman TJ, Escott-Price V, Graff-Radford N, Cairns NJ, Morris JC, Pickering-Brown S, Mann D, Halliday GM, Hardy J, Trojanowski JQ, Dickson DW, Singleton A, Stone DJ, Guerreiro R, Bras J. A comprehensive screening of copy number variability in dementia with Lewy bodies. Neurobiol Aging 2019; 75:223.e1-223.e10. [PMID: 30448004 PMCID: PMC6541211 DOI: 10.1016/j.neurobiolaging.2018.10.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 12/12/2022]
Abstract
The role of genetic variability in dementia with Lewy bodies (DLB) is now indisputable; however, data regarding copy number variation (CNV) in this disease has been lacking. Here, we used whole-genome genotyping of 1454 DLB cases and 1525 controls to assess copy number variability. We used 2 algorithms to confidently detect CNVs, performed a case-control association analysis, screened for candidate CNVs previously associated with DLB-related diseases, and performed a candidate gene approach to fully explore the data. We identified 5 CNV regions with a significant genome-wide association to DLB; 2 of these were only present in cases and absent from publicly available databases: one of the regions overlapped LAPTM4B, a known lysosomal protein, whereas the other overlapped the NME1 locus and SPAG9. We also identified DLB cases presenting rare CNVs in genes previously associated with DLB or related neurodegenerative diseases, such as SNCA, APP, and MAPT. To our knowledge, this is the first study reporting genome-wide CNVs in a large DLB cohort. These results provide preliminary evidence for the contribution of CNVs in DLB risk.
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Affiliation(s)
- Celia Kun-Rodrigues
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Tatiana Orme
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute (UK DRI) at UCL, London, UK
| | - Susana Carmona
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute (UK DRI) at UCL, London, UK
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institutes on Aging, NIH, Bethesda, MD, USA; German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - John D Eicher
- Genetics and Pharmacogenomics, Merck Research Laboratories, Boston, MA, USA
| | - Claire Shepherd
- Neuroscience Research Australia, Sydney, Australia and School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Laura Parkkinen
- Nuffield Department of Clinical Neurosciences, Oxford Parkinsons Disease Centre, University of Oxford, Oxford, UK
| | - Lee Darwent
- UK Dementia Research Institute (UK DRI) at UCL, London, UK; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Michael G Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, USA
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Juan C Troncoso
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olga Pletnikova
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ted Dawson
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Liana Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, Oxford Parkinsons Disease Centre, University of Oxford, Oxford, UK
| | - Jordi Clarimon
- Memory Unit, Department of Neurology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Alberto Lleo
- Memory Unit, Department of Neurology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Estrella Morenas-Rodriguez
- Memory Unit, Department of Neurology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Lorraine Clark
- Taub Institute for Alzheimer Disease and the Aging Brain and Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Lawrence S Honig
- Taub Institute for Alzheimer Disease and the Aging Brain and Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Karen Marder
- Taub Institute for Alzheimer Disease and the Aging Brain and Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Afina Lemstra
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases and Department of Medicine, University of Toronto, Ontario, Canada
| | - Peter St George-Hyslop
- Tanz Centre for Research in Neurodegenerative Diseases and Department of Medicine, University of Toronto, Ontario, Canada; Department of Clinical Neurosciences, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Elisabet Londos
- Clinical Memory Research Unit, Institution of Clinical Sciences Malmo, Lund University, Lund, Sweden
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London UK, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK and Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Molndal, Sweden
| | - Imelda Barber
- Human Genetics, School of Life Sciences, Queens Medical Centre, University of Nottingham, Nottingham, UK
| | - Anne Braae
- Human Genetics, School of Life Sciences, Queens Medical Centre, University of Nottingham, Nottingham, UK
| | - Kristelle Brown
- Human Genetics, School of Life Sciences, Queens Medical Centre, University of Nottingham, Nottingham, UK
| | - Kevin Morgan
- Human Genetics, School of Life Sciences, Queens Medical Centre, University of Nottingham, Nottingham, UK
| | - Claire Troakes
- Department of Basic and Clinical Neuroscience and Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Safa Al-Sarraj
- Department of Basic and Clinical Neuroscience and Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Tammaryn Lashley
- Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Janice Holton
- Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Yaroslau Compta
- Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK; Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK and Movement Disorders Unit, Neurology Service, Clinical Neuroscience Institute (ICN), Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Vivianna Van Deerlin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | | | | | - Suzanne Lesage
- Inserm U1127, CNRS UMR7225, Sorbonne Universites, Institut du Cerveau et de la Moelle epiniere, Paris, France
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA; Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
| | - Eliezer Masliah
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA; Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | - Isabel Santana
- Neurology Service, University of Coimbra Hospital, Coimbra, Portugal
| | - Pau Pastor
- Memory Unit, Department of Neurology, University Hospital Mutua de Terrassa, University of Barcelona, and Fundacio de Docencia I Recerca Mutua de Terrassa, Terrassa, Barcelona, Spain. Centro de Investigacion Biomedica en Red Enfermedades Neurdegenerativas (CIBERNED), Madrid, Spain
| | - Monica Diez-Fairen
- Memory Unit, Department of Neurology, University Hospital Mutua de Terrassa, University of Barcelona, and Fundacio de Docencia I Recerca Mutua de Terrassa, Terrassa, Barcelona, Spain. Centro de Investigacion Biomedica en Red Enfermedades Neurdegenerativas (CIBERNED), Madrid, Spain
| | - Miquel Aguilar
- Memory Unit, Department of Neurology, University Hospital Mutua de Terrassa, University of Barcelona, and Fundacio de Docencia I Recerca Mutua de Terrassa, Terrassa, Barcelona, Spain. Centro de Investigacion Biomedica en Red Enfermedades Neurdegenerativas (CIBERNED), Madrid, Spain
| | - Pentti J Tienari
- Molecular Neurology, Research Programs Unit, University of Helsinki, Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Liisa Myllykangas
- Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Minna Oinas
- Department of Neuropathology and Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Tamas Revesz
- Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Andrew Lees
- Queen Square Brain Bank, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Brad F Boeve
- Neurology Department, Mayo Clinic, Rochester, MN, USA
| | | | - Tanis J Ferman
- Department of Psychiatry and Department of Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Nigel J Cairns
- Knight Alzheimers Disease Research Center, Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - John C Morris
- Knight Alzheimers Disease Research Center, Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stuart Pickering-Brown
- Institute of Brain, Behaviour and Mental Health, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - David Mann
- Institute of Brain, Behaviour and Mental Health, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - Glenda M Halliday
- Neuroscience Research Australia, Sydney, Australia and School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, Australia; Brain and Mind Centre, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - John Hardy
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | | | - Andrew Singleton
- Laboratory of Neurogenetics, National Institutes on Aging, NIH, Bethesda, MD, USA
| | - David J Stone
- Genetics and Pharmacogenomics, Merck and Co, West Point, PA, USA
| | - Rita Guerreiro
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute (UK DRI) at UCL, London, UK; Department of Medical Sciences and Institute of Biomedicine, iBiMED, University of Aveiro, Aveiro, Portugal
| | - Jose Bras
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute (UK DRI) at UCL, London, UK; Department of Medical Sciences and Institute of Biomedicine, iBiMED, University of Aveiro, Aveiro, Portugal.
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Luo X, Chen S, Xue L, Chen JH, Shi YW, Zhao H. SNP Variation of RELN Gene and Schizophrenia in a Chinese Population: A Hospital-Based Case-Control Study. Front Genet 2019; 10:175. [PMID: 30891068 PMCID: PMC6413413 DOI: 10.3389/fgene.2019.00175] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 02/18/2019] [Indexed: 02/05/2023] Open
Abstract
Aims: We aimed to explore whether RELN contributes to the vulnerability and severity of clinical symptoms of schizophrenia (SZ) in a Chinese population. Methods: The following were conducted in an adult Han Chinese population from southern China: case-control association analyses of 30 representative single nucleotide polymorphisms (SNPs) that were screened according to specific programs based on bioinformatics tools and former research and quantitative trait locus analyses with SNPs and psychiatric symptoms evaluated with the positive and negative symptoms scale. Results: A 4-SNP haplotype consisting of rs362814, rs39339, rs540058, and rs661575 was found to be significantly associated with SZ even after Bonferroni correction (χ2 = 29.024, p = 6.42E-04, p Bonf = 0.017), and the T-C-T-C haplotype was a protective factor for SZ (OR = 0.050, 95% CI = 0.004-0.705). Moreover, the 4-SNP haplotype showed a significant association with G16 (active social avoidance) after false discovery rate correction (χ2 = 28.620, p = 1.697E-04, p FDR = 0.025). In addition, P7 (hostility) was related to the haplotype comprising rs2229864, rs2535764, and rs262355 (χ2 = 31.424, p = 2.103E-05, p adjustment = 0.019) in quantitative trait loci analyses. Conclusion: Overall, this study showed several positive associations between RELN and SZ, as well as psychiatric symptoms, which not only supports the proposition that RELN is a susceptibility gene for SZ but also provides information on a genotype-phenotype correlation for SZ in a Chinese population.
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Affiliation(s)
- Xia Luo
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
- Department of Psychiatry, Shantou University Medical College, Shantou, China
| | - Si Chen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Institute of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, China
| | - Li Xue
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
| | - Yan-Wei Shi
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
| | - Hu Zhao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
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29
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Mehta D, Czamara D. GWAS of Behavioral Traits. Curr Top Behav Neurosci 2019; 42:1-34. [PMID: 31407241 DOI: 10.1007/7854_2019_105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Over the past decade, genome-wide association studies (GWAS) have evolved into a powerful tool to investigate genetic risk factors for human diseases via a hypothesis-free scan of the genome. The success of GWAS for psychiatric disorders and behavioral traits have been somewhat mixed, partly owing to the complexity and heterogeneity of these traits. Significant progress has been made in the last few years in the development and implementation of complex statistical methods and algorithms incorporating GWAS. Such advanced statistical methods applied to GWAS hits in combination with incorporation of different layers of genomics data have catapulted the search for novel genes for behavioral traits and improved our understanding of the complex polygenic architecture of these traits.This chapter will give a brief overview on GWAS and statistical methods currently used in GWAS. The chapter will focus on reviewing the current literature and highlight some of the most important GWAS on psychiatric and other behavioral traits and will conclude with a discussion on future directions.
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Affiliation(s)
- Divya Mehta
- School of Psychology and Counselling, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia.
| | - Darina Czamara
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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Konte B, Leicht G, Giegling I, Pogarell O, Karch S, Hartmann AM, Friedl M, Hegerl U, Rujescu D, Mulert C. A genome-wide association study of early gamma-band response in a schizophrenia case-control sample. World J Biol Psychiatry 2018; 19:602-609. [PMID: 28922980 DOI: 10.1080/15622975.2017.1366054] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Disturbances in the gamma-frequency band of electroencephalography (EEG) measures are among the most consistently observed intermediate phenotypes in schizophrenia. We assessed whether genetic variations are associated with gamma-band activity. METHODS We performed a genome-wide association analysis of the early auditory evoked gamma-band response in schizophrenia affected subjects and healthy control individuals (in total N = 315). RESULTS No marker surpassed the threshold for genome-wide significant association. Several of the markers that were closest to significance mapped to genes involved in neuronal development and the Neuregulin-ErbB signalling network, such as NRG2 and KALRN. Using a gene-set enrichment analysis, we found suggestive evidence for association with genes involved in EEG abnormality (P = .048). CONCLUSIONS We identified no marker genome-wide significantly associating with gamma response; independent replication of the gene-set analysis result and larger sample sizes will be required to provide leads to cellular pathways involved in gamma-band activity.
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Affiliation(s)
- Bettina Konte
- a Department of Psychiatry, Psychotherapy and Psychosomatics , Martin-Luther-University Halle-Wittenberg , Halle , Germany
| | - Gregor Leicht
- b Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and Department of Psychiatry and Psychotherapy , University Medical Center Hamburg-Eppendorf , Hamburg , Germany
| | - Ina Giegling
- a Department of Psychiatry, Psychotherapy and Psychosomatics , Martin-Luther-University Halle-Wittenberg , Halle , Germany
| | - Oliver Pogarell
- c Department of Psychiatry and Psychotherapy , Ludwig-Maximilians-University , Munich , Germany
| | - Susanne Karch
- c Department of Psychiatry and Psychotherapy , Ludwig-Maximilians-University , Munich , Germany
| | - Annette M Hartmann
- a Department of Psychiatry, Psychotherapy and Psychosomatics , Martin-Luther-University Halle-Wittenberg , Halle , Germany
| | - Marion Friedl
- a Department of Psychiatry, Psychotherapy and Psychosomatics , Martin-Luther-University Halle-Wittenberg , Halle , Germany
| | - Ulrich Hegerl
- d Department of Psychiatry and Psychotherapy , University of Leipzig , Leipzig , Germany
| | - Dan Rujescu
- a Department of Psychiatry, Psychotherapy and Psychosomatics , Martin-Luther-University Halle-Wittenberg , Halle , Germany
| | - Christoph Mulert
- b Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and Department of Psychiatry and Psychotherapy , University Medical Center Hamburg-Eppendorf , Hamburg , Germany
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31
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Magri C, Giacopuzzi E, La Via L, Bonini D, Ravasio V, Elhussiny MEA, Orizio F, Gangemi F, Valsecchi P, Bresciani R, Barbon A, Vita A, Gennarelli M. A novel homozygous mutation in GAD1 gene described in a schizophrenic patient impairs activity and dimerization of GAD67 enzyme. Sci Rep 2018; 8:15470. [PMID: 30341396 PMCID: PMC6195539 DOI: 10.1038/s41598-018-33924-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 10/08/2018] [Indexed: 12/30/2022] Open
Abstract
Recently, by whole exome sequencing of schizophrenia (SCZ) patients, we identified a subject that was homozygous for a novel missense substitution (c.391 A > G) in the glutamate acid decarboxylase 1 (GAD1) gene. GAD1 encodes for GAD67 enzyme, catalyzing the production of gamma-aminobutyric acid (GABA) from L-glutamic acid. Here, we studied the impact of this mutation on GAD67 activity, dimerization and subcellular localization. Biochemical assay revealed that c.391 A > G reduces GAD67 enzymatic activity by ~30%, probably due to the impaired homodimerization of homozygous mutants as highlighted by proximity ligation assays. The mutational screening of 120 genes of the "GABAergic system" in a cohort of 4,225 SCZ cases and 5,834 controls (dbGaP: phs000473.v1.p2), did not identify other cases that were homozygous for ultra-rare variants in GAD1, but highlighted an increased frequency of cases that were homozygous for rare variants in genes of the GABA system (SCZ: 0.14% vs. Controls: 0.00%; p-value = 0.0055). In conclusion, this study demonstrates the functional impact of c.391 A > G variant and its biological effect makes it a good candidate as risk variant for SCZ. This study also supports an involvement of ultra-rare variants in GABAergic genes in the etiopathogenesis of SCZ.
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Affiliation(s)
- Chiara Magri
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
| | - Edoardo Giacopuzzi
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Luca La Via
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Daniela Bonini
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Viola Ravasio
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Mohammed E A Elhussiny
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Flavia Orizio
- Unit of Biotechnology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Fabrizio Gangemi
- Unit of Physics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Paolo Valsecchi
- Neuroscience Section, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Roberto Bresciani
- Unit of Biotechnology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alessandro Barbon
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Antonio Vita
- Neuroscience Section, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Massimo Gennarelli
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
- Genetic Unit, IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Gong J, Cheng T, Wu Y, Yang X, Feng Q, Mita K. Genome-wide patterns of copy number variations in Spodoptera litura. Genomics 2018; 111:1231-1238. [PMID: 30114452 DOI: 10.1016/j.ygeno.2018.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 07/26/2018] [Accepted: 08/04/2018] [Indexed: 01/06/2023]
Abstract
Spodoptera litura is a polyphagous pest and can feed on more than 100 species of plants, causing great damage to agricultural production. The SNP results showed that there were gene exchanges between different regions. To explore the variations of larger segments in S. litura genome, we used genome resequencing samples from 14 regions of China, India, and Japan to study the copy number variations (CNVs). We identified 3976 CNV events and 1581 unique copy number variation regions (CNVRs) occupying the 108.5 Mb genome of S. litura. A total of 5527 genes that overlapped with CNVRs were detected. Selection signal analysis identified 19 shared CNVRs and 105 group-specific CNVRs, whose related genes were involved in various biological processes in S. litura. We constructed the first CNVs map in S. litura genome, and our findings will be valuable for understanding the genomic variations and population differences of S. litura.
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Affiliation(s)
- Jiao Gong
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Tingcai Cheng
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China; Chongqing Engineering and Technology Research Center for Novel Silk Materials, Southwest University, 2, Tiansheng Road, Beibei, Chongqing 400715, China.
| | - Yuqian Wu
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Xi Yang
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Qili Feng
- Guangzhou Key Laboratory of Insect Development Regulation and Application Research, South China Normal University, Guangzhou 510631, China
| | - Kazuei Mita
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
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Rujescu D, Hartmann AM, Giegling I, Konte B, Herrling M, Himmelein S, Strupp M. Genome-Wide Association Study in Vestibular Neuritis: Involvement of the Host Factor for HSV-1 Replication. Front Neurol 2018; 9:591. [PMID: 30079052 PMCID: PMC6062961 DOI: 10.3389/fneur.2018.00591] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 07/02/2018] [Indexed: 12/11/2022] Open
Abstract
Objective: In order to identify genetic variants associated with vestibular neuritis, a common cause of peripheral vertigo with a potential causative link to the reactivation of herpes simplex type 1 (HSV-1), we conducted a genome-wide association study. Methods: Association was assessed using approximately 8 million variants. 131 patients with vestibular neuritis and 2,609 controls of European ancestry were included. Results: Genome-wide associations with vestibular neuritis were detected in 4 regions containing protein coding genes assignable to two functional groups: virus hypothesis and insulin metabolism. Genes of set 1 are related to viral processes: nuclear receptor subfamily 3 group C member 2 (NR3C2) is a receptor for mineralocorticoids and glucocorticoids and was shown to be a host factor for HSV-1 replication. Ankyrin repeat domain 30A (ANKRD30A) encodes a host factor for human immunodeficiency virus-1 (HIV-1) infection. It shows rapid evolution and is induced by interferon stimulation. Mediator complex 30 (MED30), an important member of the mediator complex, has been shown to be involved in replication of HIV-1, a knockdown leading to impaired viral replication. The second set of genes LIM homeobox transcription factor 1 alpha (LMX1A), solute carrier family 30 member 8 (SLC30A8) is associated with insulin metabolism and resistance, a feature of some patients in whom type 2 diabetes is an accompanying comorbidity of vestibular neuritis. Conclusions: Using a GWAS approach to evaluate the etiology of vestibular neuritis these findings provide another piece of evidence that it may be caused by a viral inflammation.
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Affiliation(s)
- Dan Rujescu
- German Center for Vertigo and Balance Disorders, University Hospital Munich, Munich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Annette M Hartmann
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Ina Giegling
- German Center for Vertigo and Balance Disorders, University Hospital Munich, Munich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Bettina Konte
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Marko Herrling
- German Center for Vertigo and Balance Disorders, University Hospital Munich, Munich, Germany
| | - Susanne Himmelein
- German Center for Vertigo and Balance Disorders, University Hospital Munich, Munich, Germany.,Department of Neurology, University Hospital Munich, Munich, Germany
| | - Michael Strupp
- German Center for Vertigo and Balance Disorders, University Hospital Munich, Munich, Germany.,Department of Neurology, University Hospital Munich, Munich, Germany
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Lew AR, Kellermayer TR, Sule BP, Szigeti K. Copy Number Variations in Adult-onset Neuropsychiatric Diseases. Curr Genomics 2018; 19:420-430. [PMID: 30258274 PMCID: PMC6128389 DOI: 10.2174/1389202919666180330153842] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 03/01/2017] [Accepted: 03/13/2018] [Indexed: 11/22/2022] Open
Abstract
Adult-onset neuropsychiatric diseases are one of the most challenging areas of medicine. While symptomatic treatments are available, for most of these diseases the exact pathomechanism is not known, thus, disease-modifying therapies are difficult to conceptualize and find. The two most common and best studied neuropsychiatric diseases affecting higher cortical functions in humans are schizophrenia and Alzheimer's disease; both diseases have high heritability, however, the genetic architecture is not fully elucidated. Robust Single Nucleotide Variant (SNV) studies have identified several loci with modest effect sizes. While Copy Number Variants (CNV) make an important contribution to genetic variation, CNV GWAS suffer from dependence on mainly SNP arrays with underperforming genotyping accuracy. We evaluated dynamic range of the assays for three types of CNV loci, including biallelic deletion, high copy gain, and fusion gene, to assess the depth of exploration of the contribution of CNVs to disease susceptibility. Despite the suboptimal genotyping, novel mechanisms are emerging and further large-scale studies with genotyping assays optimized for CNV detection are needed. Furthermore, the CHRFAM7A human-specific fusion gene association warrants large scale locus specific association studies in AD, schizophrenia, bipolar disorder and ADHD.
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Affiliation(s)
- Alexandra R Lew
- Department of Neurology, University at Buffalo, SUNY, Buffalo, NY14203, USA
| | | | - Balint P Sule
- Department of Neurology, University at Buffalo, SUNY, Buffalo, NY14203, USA
| | - Kinga Szigeti
- Department of Neurology, University at Buffalo, SUNY, Buffalo, NY14203, USA
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36
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Yurov YB, Vorsanova SG, Demidova IA, Kolotii AD, Soloviev IV, Iourov IY. Mosaic Brain Aneuploidy in Mental Illnesses: An Association of Low-level Post-zygotic Aneuploidy with Schizophrenia and Comorbid Psychiatric Disorders. Curr Genomics 2018; 19:163-172. [PMID: 29606903 PMCID: PMC5850504 DOI: 10.2174/1389202918666170717154340] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 11/18/2016] [Accepted: 01/16/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Postzygotic chromosomal variation in neuronal cells is hypothesized to make a substantial contribution to the etiology and pathogenesis of neuropsychiatric disorders. However, the role of somatic genome instability and mosaic genome variations in common mental illnesses is a matter of conjecture. MATERIALS AND METHODS To estimate the pathogenic burden of somatic chromosomal mutations, we determined the frequency of mosaic aneuploidy in autopsy brain tissues of subjects with schizophrenia and other psychiatric disorders (intellectual disability comorbid with autism spectrum disorders). Recently, post-mortem brain tissues of subjects with schizophrenia, intellectual disability and unaffected controls were analyzed by Interphase Multicolor FISH (MFISH), Quantitative Fluorescent in situ Hybridization (QFISH) specially designed to register rare mosaic chromosomal mutations such as lowlevel aneuploidy (whole chromosome mosaic deletion/duplication). The low-level mosaic aneuploidy in the diseased brain demonstrated significant 2-3-fold frequency increase in schizophrenia (p=0.0028) and 4-fold increase in intellectual disability comorbid with autism (p=0.0037) compared to unaffected controls. Strong associations of low-level autosomal/sex chromosome aneuploidy (p=0.001, OR=19.0) and sex chromosome-specific mosaic aneuploidy (p=0.006, OR=9.6) with schizophrenia were revealed. CONCLUSION Reviewing these data and literature supports the hypothesis suggesting that an association of low-level mosaic aneuploidy with common and, probably, overlapping psychiatric disorders does exist. Accordingly, we propose a pathway for common neuropsychiatric disorders involving increased burden of rare de novo somatic chromosomal mutations manifesting as low-level mosaic aneuploidy mediating local and general brain dysfunction.
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Affiliation(s)
- Yuri B. Yurov
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Svetlana G. Vorsanova
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Irina A. Demidova
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Alexei D. Kolotii
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | | | - Ivan Y. Iourov
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Department of Medical Genetics, Russian Medical Academy of Postgraduate Education, Ministry of Health, Moscow, Russian Federation
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Gene polymorphisms of DISC1 is associated with schizophrenia: Evidence from a meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:64-73. [PMID: 29031911 DOI: 10.1016/j.pnpbp.2017.10.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/08/2017] [Accepted: 10/08/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND Previous studies suggest an association between Disrupted in schizophrenia 1 (DISC1) polymorphisms and schizophrenia (SCZ). However, the available data are often inconsistent, regarding the difference in sample size, ethnicity, genotyping method, etc. Thus, we carried out a meta-analysis to determine whether DISC1 polymorphisms contributed susceptibility to SCZ. METHODS A methodical literature review was operated using the English and Chinese core electronic databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were applied to determine the correlation between DISC1 gene polymorphisms and SCZ susceptibility. Subgroup analyses were carried out by stratification of ethnicity. P values were Bonferroni adjusted to account for multiple testing. Publication bias was evaluated by funnel plots, Egger's test and the trim and fill method. RESULTS Meta-analyses results suggested that DISC1 polymorphisms (rs821616 and rs821597) increased SCZ risk in overall populations. In subgroups of ethnicity, DISC1 polymorphisms (rs821616 and rs821597) was associated with susceptibility to SCZ among the Chinese population (for rs821616: TT+AT vs. AA: OR=1.338, 95% CI=1.124-1.592, P=0.001; T vs. A: OR=1.300, 95% CI=1.124-1.504, P<0.000; for rs821597: AA+AG vs. GG: OR=1.508, 95% CI=1.268-1.794, P<0.001; A vs. G: OR=1.345, 95% CI=1.184-1.527, P<0.001). A positive correlation was also observed between the single marker rs821616 and SCZ among the Japanese population in the recessive model (TT vs. AT+AA: OR=1.524, 95% CI=1.185-1.959, P=0.001). There was no significant relationship between other DISC1 polymorphisms (rs3738401, rs2273890, rs3738398, rs3738402, rs2492367, rs843979, rs3737597, rs4658971, rs1538979, rs1000731 and rs3738399) and SCZ. CONCLUSIONS DISC1 polymorphisms increased a risk of SCZ, especially in the Chinese population. In order to further corroborate our findings, large well-designed epidemiological studies are needed.
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Culverhouse RC, Saccone NL, Horton AC, Ma Y, Anstey KJ, Banaschewski T, Burmeister M, Cohen-Woods S, Etain B, Fisher HL, Goldman N, Guillaume S, Horwood J, Juhasz G, Lester KJ, Mandelli L, Middeldorp CM, Olié E, Villafuerte S, Air TM, Araya R, Bowes L, Burns R, Byrne EM, Coffey C, Coventry WL, Gawronski KAB, Glei D, Hatzimanolis A, Hottenga JJ, Jaussent I, Jawahar C, Jennen-Steinmetz C, Kramer JR, Lajnef M, Little K, Zu Schwabedissen HM, Nauck M, Nederhof E, Petschner P, Peyrot WJ, Schwahn C, Sinnamon G, Stacey D, Tian Y, Toben C, Van der Auwera S, Wainwright N, Wang JC, Willemsen G, Anderson IM, Arolt V, Åslund C, Bagdy G, Baune BT, Bellivier F, Boomsma DI, Courtet P, Dannlowski U, de Geus EJC, Deakin JFW, Easteal S, Eley T, Fergusson DM, Goate AM, Gonda X, Grabe HJ, Holzman C, Johnson EO, Kennedy M, Laucht M, Martin NG, Munafò MR, Nilsson KW, Oldehinkel AJ, Olsson CA, Ormel J, Otte C, Patton GC, Penninx BWJH, Ritchie K, Sarchiapone M, Scheid JM, Serretti A, Smit JH, Stefanis NC, Surtees PG, Völzke H, Weinstein M, Whooley M, Nurnberger JI, Breslau N, Bierut LJ. Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 2018; 23:133-142. [PMID: 28373689 PMCID: PMC5628077 DOI: 10.1038/mp.2017.44] [Citation(s) in RCA: 186] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 01/23/2017] [Accepted: 02/02/2017] [Indexed: 01/01/2023]
Abstract
The hypothesis that the S allele of the 5-HTTLPR serotonin transporter promoter region is associated with increased risk of depression, but only in individuals exposed to stressful situations, has generated much interest, research and controversy since first proposed in 2003. Multiple meta-analyses combining results from heterogeneous analyses have not settled the issue. To determine the magnitude of the interaction and the conditions under which it might be observed, we performed new analyses on 31 data sets containing 38 802 European ancestry subjects genotyped for 5-HTTLPR and assessed for depression and childhood maltreatment or other stressful life events, and meta-analysed the results. Analyses targeted two stressors (narrow, broad) and two depression outcomes (current, lifetime). All groups that published on this topic prior to the initiation of our study and met the assessment and sample size criteria were invited to participate. Additional groups, identified by consortium members or self-identified in response to our protocol (published prior to the start of analysis) with qualifying unpublished data, were also invited to participate. A uniform data analysis script implementing the protocol was executed by each of the consortium members. Our findings do not support the interaction hypothesis. We found no subgroups or variable definitions for which an interaction between stress and 5-HTTLPR genotype was statistically significant. In contrast, our findings for the main effects of life stressors (strong risk factor) and 5-HTTLPR genotype (no impact on risk) are strikingly consistent across our contributing studies, the original study reporting the interaction and subsequent meta-analyses. Our conclusion is that if an interaction exists in which the S allele of 5-HTTLPR increases risk of depression only in stressed individuals, then it is not broadly generalisable, but must be of modest effect size and only observable in limited situations.
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Affiliation(s)
- R C Culverhouse
- Department of Medicine and Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - N L Saccone
- Department of Genetics and Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - A C Horton
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Y Ma
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - K J Anstey
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia
| | - T Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - M Burmeister
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - S Cohen-Woods
- School of Psychology, Faculty of Social and Behavioural Sciences, Flinders University, Adelaide, SA, Australia
| | - B Etain
- Sorbonne Paris Cité, Université Paris Diderot, UMR-S 1144, Paris, France
- AP-HP, Groupe Saint-Louis-Lariboisière-F. Widal, Paris, France
- INSERM, U1144, Paris, France
| | - H L Fisher
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - N Goldman
- Office of Population Research, Princeton University, Princeton, NJ, USA
| | - S Guillaume
- Université Montpellier, Montpellier, France
- INSERM U1061 Neuropsychiatry, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
| | - J Horwood
- Department of Psychological Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - G Juhasz
- MTA-SE-NAP B Genetic Brain Imaging Migraine Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
- Department of Pharmacodynamics, Semmelweis University, Budapest, Hungary
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK
- NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary
| | - K J Lester
- School of Psychology, University of Sussex, Brighton, UK
| | - L Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - C M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E Olié
- Université Montpellier, Montpellier, France
- INSERM U1061 Neuropsychiatry, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
| | - S Villafuerte
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - T M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - R Araya
- Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, UK
| | - L Bowes
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - R Burns
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia
| | - E M Byrne
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - C Coffey
- Centre for Adolescent Health, Murdoch Childrens Research Institute, Melbourne, VIC, Australia
| | - W L Coventry
- Discipline of Psychology, University of New England, Armidale, NSW, Australia
| | - K A B Gawronski
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - D Glei
- Center for Population and Health, Georgetown University, Washington, DC, USA
| | - A Hatzimanolis
- Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - I Jaussent
- INSERM U1061 Neuropsychiatry, Montpellier, France
| | - C Jawahar
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - C Jennen-Steinmetz
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - J R Kramer
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | | | - K Little
- Murdoch Childrens Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics and School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - H M Zu Schwabedissen
- Biopharmacy, Department Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - M Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - E Nederhof
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, Groningen, The Netherlands
| | - P Petschner
- Department of Pharmacodynamics, Semmelweis University, Budapest, Hungary
- NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - W J Peyrot
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
| | - C Schwahn
- Department of Prosthetic Dentistry, Gerostomatology and Dental Materials, University Medicine Greifswald, Greifswald, Germany
| | - G Sinnamon
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - D Stacey
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - Y Tian
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - C Toben
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - S Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - N Wainwright
- Department of Public Health and Primary Care, School of Clinical Medicine, Cambridge, UK
| | - J-C Wang
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - I M Anderson
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK
- Manchester Academic Health Sciences Centre, Manchester, UK
| | - V Arolt
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - C Åslund
- Centre for Clinical Research, Uppsala University, Uppsala, Sweden
- Västmanland County Hospital Västerås, Västerås, Sweden
| | - G Bagdy
- Department of Pharmacodynamics, Semmelweis University, Budapest, Hungary
- NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - F Bellivier
- Sorbonne Paris Cité, Université Paris Diderot, UMR-S 1144, Paris, France
- AP-HP, Groupe Saint-Louis-Lariboisière-F. Widal, Paris, France
- INSERM, U1144, Paris, France
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - P Courtet
- Université Montpellier, Montpellier, France
- INSERM U1061 Neuropsychiatry, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
| | - U Dannlowski
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - E J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - J F W Deakin
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK
- Manchester Academic Health Sciences Centre, Manchester, UK
| | - S Easteal
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - T Eley
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - D M Fergusson
- Department of Psychological Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - A M Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - X Gonda
- Department of Pharmacodynamics, Semmelweis University, Budapest, Hungary
- NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
- Department of Psychiatry and Psychotherapy, Kutvolgyi Clinical Center, Semmelweis University, Budapest, Hungary
| | - H J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - C Holzman
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - M Kennedy
- Department of Pathology, University of Otago Christchurch, Christchurch, New Zealand
| | - M Laucht
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer, Brisbane, QLD, Australia
| | - M R Munafò
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK
| | - K W Nilsson
- Centre for Clinical Research, Uppsala University, Uppsala, Sweden
- Västmanland County Hospital Västerås, Västerås, Sweden
| | - A J Oldehinkel
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, Groningen, The Netherlands
| | - C A Olsson
- Deakin University Geelong, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Burwood, VIC, Australia
- Department of Paediatrics and School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
- Centre for Adolescent Health, Murdoch Childrens Research Institute, Melbourne, VIC, Australia
| | - J Ormel
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, Groningen, The Netherlands
| | - C Otte
- Charité Universitätsmedizin Berlin, Klinik für Psychiatrie und Psychotherapie Campus Benjamin Franklin, Berlin, Germany
| | - G C Patton
- Department of Paediatrics, Murdoch Childrens Research Institute, University of Melbourne, Melbourne, VIC, Australia
| | - B W J H Penninx
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
| | - K Ritchie
- INSERM U1061 Neuropsychiatry, Montpellier, France
| | - M Sarchiapone
- Department of Health Sciences, University of Molise, Campobasso, Italy
| | - J M Scheid
- Department of Psychiatry, Michigan State University, East Lansing, MI, USA
| | - A Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - J H Smit
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
| | - N C Stefanis
- Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - P G Surtees
- Department of Public Health and Primary Care, School of Clinical Medicine, Cambridge, UK
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - M Weinstein
- Center for Population and Health, Georgetown University, Washington, DC, USA
| | - M Whooley
- Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
| | - J I Nurnberger
- Institute of Psychiatric Research, Departments of Psychiatry and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Breslau
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - L J Bierut
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
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Lebel M, Monnat RJ. Werner syndrome (WRN) gene variants and their association with altered function and age-associated diseases. Ageing Res Rev 2018; 41:82-97. [PMID: 29146545 DOI: 10.1016/j.arr.2017.11.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 11/07/2017] [Accepted: 11/09/2017] [Indexed: 01/14/2023]
Abstract
Werner syndrome (WS) is a heritable autosomal recessive human disorder characterized by the premature onset of several age-associated pathologies including cancer. The protein defective in WS patients, WRN, is encoded by a member of the human RECQ gene family that contains both a DNA exonuclease and a helicase domain. WRN has been shown to participate in several DNA metabolic pathways including DNA replication, recombination and repair, as well as telomere maintenance and transcription modulation. Here we review base pair-level genetic variation that has been documented in WRN, with an emphasis on non-synonymous coding single nucleotide polymorphisms (SNPs) and their associations with anthropomorphic features, longevity and disease risk. These associations have been challenging to identify, as many reported WRN SNP associations appear to be further conditioned upon ethnic, age, gender or other environmental co-variables. The WRN variant phenotypic associations identified to date are intriguing, and several are of clear clinical import. Consequently, it will be important to extend these initial associations and to identify the mechanisms and conditions under which specific WRN variants may compromise WRN function to drive cellular and organismal phenotypes as well as disease risk.
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Affiliation(s)
- Michel Lebel
- Centre de recherche du CHU de Québec, Pavillon CHUL Université Laval, Faculté de Médecine, Québec City, Québec, G1V 4G2, Canada.
| | - Raymond J Monnat
- Departments of Pathology and Genome Sciences, University of Washington, Seattle, WA 98195, USA
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 3: Evidence from chromosome 3 high density association screen. J Comp Neurol 2017; 526:59-79. [PMID: 28856687 DOI: 10.1002/cne.24311] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Revised: 07/29/2017] [Accepted: 07/31/2017] [Indexed: 12/30/2022]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes et al, Genet Med 2012, 14, 338-341) and convergent evidence from genetics, symptomatology, and psychopharmacology imply that there are intrinsic connections between these three major psychiatric disorders, for example, any two or even three of these disorders could co-exist in some families. A total of 60, 838 single-nucleotide polymorphisms (SNPs) on chromosome 3 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1,000 controls. The population of Shandong province was formed in 14 century and believed that it belongs to homogenous population. Associated SNPs were systematically revealed and outstanding susceptibility genes (CADPS, GRM7,KALRN, LSAMP, NLGN1, PRICKLE2, ROBO2) were identified. Unexpectedly, flanking genes for the associated SNPs distinctive for BPD and/or MDD were replicated in an enlarged cohort of 986 SCZ patients. The evidence from this chromosome 3 analysis supports the notion that both of bipolar and MDD might be subtypes of schizophrenia rather than independent disease entity. Also, a similar finding was detected on chromosome 5, 6, 7, and 8 (Chen et al. Am J Transl Res 2017;9 (5):2473-2491; Curr Mol Med 2016;16(9):840-854; Behav Brain Res 2015;293:241-251; Mol Neurobiol 2016. doi: 10.1007/s12035-016-0102-1). Furthermore, PRICKLE2 play an important role in the pathogenesis of three major psychoses in this population.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Bin Cai
- CapitalBio corporation, Beijing, People's Republic of China
| | - Xiaohong Chen
- CapitalBio corporation, Beijing, People's Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
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Yazdani S, Salimi V, Eshraghian MR, Shayestehpour M, Pourtalebi-Firoozabadi A, Romani B, Shadab A, Aghasadeghi MR, Yavarian J. No genetic association between A118G polymorphism of μ-opioid receptor gene and schizophrenia and bipolar disorders. Indian J Psychiatry 2017; 59:483-486. [PMID: 29497192 PMCID: PMC5806329 DOI: 10.4103/psychiatry.indianjpsychiatry_53_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Schizophrenia (SZ) and bipolar disorder (BD) are chronic and multifactorial psychiatric disorders that might be affected by different genes in combination with environmental factors. There is evidence of association between polymorphisms of μ-opioid receptor gene (OPRM1) with these disorders. OBJECTIVES The aim of this study was to investigate the genetic association between OPRM1 A118G SNP in SZ and BD patients in comparison with healthy controls (HCs). MATERIALS AND METHODS One single-nucleotide polymorphism in OPRM1 was genotyped using TaqMan real-time PCR assay in 203 SZ and BD patients and 389 HCs. RESULTS There was no statistically significant difference in genotypic and allelic frequencies of OPRM1 A118G SNP between HCs and SZ/BD patients. CONCLUSIONS To find the underlying genetic factors associated with these complex disorders, further studies need to be conducted using larger sample size, different genetic populations, and different gene variations.
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Affiliation(s)
- Shaghayegh Yazdani
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Salimi
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Eshraghian
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Shayestehpour
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Pourtalebi-Firoozabadi
- Genomic Research Center, Birjand University of Medical Sciences, Birjand, Iran.,Department of Molecular Medicine, Birjand University of Medical Sciences, Birjand, Iran.,Department of Cellular and Molecular Medicine, Mehrvarzan-e-Saba Gostar Medical Rehabilitation and Maintenance Center of Chronic Mental Patients, Karaj, Alborz Province, Iran
| | - Bizhan Romani
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada.,Cellular and Molecular Research Center, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Azadeh Shadab
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Jila Yavarian
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Chen H, Uddin LQ, Duan X, Zheng J, Long Z, Zhang Y, Guo X, Zhang Y, Zhao J, Chen H. Shared atypical default mode and salience network functional connectivity between autism and schizophrenia. Autism Res 2017; 10:1776-1786. [PMID: 28730732 DOI: 10.1002/aur.1834] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 06/18/2017] [Accepted: 06/20/2017] [Indexed: 01/08/2023]
Abstract
Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6 ± 1.8 years old) and 31 healthy controls (15.4 ± 1.6 years old). Data from 22 participants with ASD (13.1 ± 3.1 years old) and 21 healthy controls (12.9 ± 2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy = 83%; ASD dataset: accuracy = 80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p = 0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776-1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders.
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Affiliation(s)
- Heng Chen
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, United States
| | - Xujun Duan
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Junjie Zheng
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Zhiliang Long
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Youxue Zhang
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Xiaonan Guo
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Yan Zhang
- Department of Psychiatry, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Jingping Zhao
- Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Huafu Chen
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
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Lee BJ, Marchionni L, Andrews CE, Norris AL, Nucifora LG, Wu YC, Wright RA, Pevsner J, Ross CA, Margolis RL, Sawa A, Nucifora FC. Analysis of differential gene expression mediated by clozapine in human postmortem brains. Schizophr Res 2017; 185:58-66. [PMID: 28038920 PMCID: PMC6541388 DOI: 10.1016/j.schres.2016.12.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 12/12/2016] [Accepted: 12/15/2016] [Indexed: 12/11/2022]
Abstract
Clozapine is the only medication indicated for treating refractory schizophrenia, due to its superior efficacy among all antipsychotic agents, but its mechanism of action is poorly understood. To date, no studies of human postmortem brain have characterized the gene expression response to clozapine. Therefore, we addressed this question by analyzing expression data extracted from published microarray studies involving brains of patients on antipsychotic therapy. We first performed a systematic review and identified four microarray studies of postmortem brains from antipsychotic-treated patients, then extracted the expression data. We then performed generalized linear model analysis on each study separately, and identified the genes differentially expressed in response to clozapine compared to other atypical antipsychotic medications, as well as their associated canonical pathways. We also found a number of genes common to all four studies that we analyzed: GCLM, ZNF652, and GYPC. In addition, pathway analysis highlighted the following processes in all four studies: clathrin-mediated endocytosis, SAPK/JNK signaling, 3-phosphoinositide synthesis, and paxillin signaling. Our analysis yielded the first comprehensive compendium of genes and pathways differentially expressed upon clozapine treatment in the human brain, which may provide insight into the mechanism and unique efficacy of clozapine, as well as the pathophysiology of schizophrenia.
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Affiliation(s)
- Brian J Lee
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA; Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, 1830 E. Monument St., Baltimore, MD 21205, USA
| | - Luigi Marchionni
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 401 N. Broadway, Baltimore, MD 21287, USA
| | - Carrie E Andrews
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Alexis L Norris
- Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe St., Baltimore, MD 21205, USA; Department of Neurology, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, 707 N. Broadway, Baltimore, MD 21205, USA
| | - Leslie G Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Yeewen Candace Wu
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Robert A Wright
- William H. Welch Medical Library, Johns Hopkins University, 1900 E. Monument St., Baltimore, MD 21205, USA
| | - Jonathan Pevsner
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe St., Baltimore, MD 21205, USA; Department of Neurology, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, 707 N. Broadway, Baltimore, MD 21205, USA
| | - Christopher A Ross
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA; Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, 1830 E. Monument St., Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe St., Baltimore, MD 21205, USA
| | - Russell L Margolis
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA; Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, 1830 E. Monument St., Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe St., Baltimore, MD 21205, USA
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA; Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, 1830 E. Monument St., Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe St., Baltimore, MD 21205, USA
| | - Frederick C Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA.
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Reittinger AM, Helm BM, Boles DJ, Gadi IK, Schrier Vergano SA. A prenatal diagnosis of mosaic trisomy 5 reveals a postnatal complete uniparental disomy of chromosome 5 with multiple congenital anomalies. Am J Med Genet A 2017; 173:2528-2533. [PMID: 28653809 DOI: 10.1002/ajmg.a.38344] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 05/25/2017] [Accepted: 06/06/2017] [Indexed: 11/11/2022]
Abstract
Mosaic trisomy 5 is a very rare condition in liveborns, with few cases reported in the last four decades. There are some reports of prenatally diagnosed mosaic trisomy 5 resulting in phenotypically normal offspring, suggesting a low level of mosaicism, but there are also reports associated with multiple congenital anomalies, cardiovascular malformations, and intrauterine growth restriction. We report an infant male diagnosed with mosaic trisomy 5 (5/15 cells) via amniocentesis. The patient was subsequently found to have uniparental disomy 5 (UPD5) by postnatal chromosome microarray, but high-resolution chromosome analysis on peripheral blood did not identify trisomy 5. Dysmorphic features included a tall forehead with low anterior hairline, hypertelorism, low-set ears, and a prominent nose and midface. Other anomalies included bilateral bifid thumbs, hypospadias, a perineal fistula, unilateral multicystic kidney, and decreased subcutaneous fat with loose skin. He had complex congenital heart disease consisting of ventricular and atrial septal defects and polyvalvular defects. The patient died at age one after a prolonged admission. We add this case to the literature with the added benefit of data from a postnatal microarray, which was not available in other cases, to broaden the phenotype of mosaic trisomy 5 and UPD5.With the current available technology, we stress the importance of postnatal genetic testing to confirm prenatal cytogenetic findings in order to further define such phenotypes. This will provide the most accurate information and counseling to affected families.
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Affiliation(s)
- Andrew M Reittinger
- Department of Pediatrics, Eastern Virginia Medical School, Norfolk, Virginia
| | - Benjamin M Helm
- Department of Medical & Molecular Genetics, Indiana University School of Medicine and Riley Hospital for Children at IU Health, Indianapolis, Indiana
| | - Debra J Boles
- Quest Diagnostics, Nichols Institute, Chantilly, Virginia
| | - Inder K Gadi
- Laboratory Corporation of America, Research Triangle Park, North Carolina
| | - Samantha A Schrier Vergano
- Department of Pediatrics, Eastern Virginia Medical School, Norfolk, Virginia.,Division of Medical Genetics and Metabolism, Children's Hospital of The King's Daughters, Norfolk, Virginia
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45
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Zhuo C, Hou W, Lin C, Hu L, Li J. Potential Value of Genomic Copy Number Variations in Schizophrenia. Front Mol Neurosci 2017; 10:204. [PMID: 28680393 PMCID: PMC5478687 DOI: 10.3389/fnmol.2017.00204] [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: 03/28/2017] [Accepted: 06/09/2017] [Indexed: 11/13/2022] Open
Abstract
Schizophrenia is a devastating neuropsychiatric disorder affecting approximately 1% of the global population, and the disease has imposed a considerable burden on families and society. Although, the exact cause of schizophrenia remains unknown, several lines of scientific evidence have revealed that genetic variants are strongly correlated with the development and early onset of the disease. In fact, the heritability among patients suffering from schizophrenia is as high as 80%. Genomic copy number variations (CNVs) are one of the main forms of genomic variations, ubiquitously occurring in the human genome. An increasing number of studies have shown that CNVs account for population diversity and genetically related diseases, including schizophrenia. The last decade has witnessed rapid advances in the development of novel genomic technologies, which have led to the identification of schizophrenia-associated CNVs, insight into the roles of the affected genes in their intervals in schizophrenia, and successful manipulation of the target CNVs. In this review, we focus on the recent discoveries of important CNVs that are associated with schizophrenia and outline the potential values that the study of CNVs will bring to the areas of schizophrenia research, diagnosis, and therapy. Furthermore, with the help of the novel genetic tool known as the Clustered Regularly Interspaced Short Palindromic Repeats-associated nuclease 9 (CRISPR/Cas9) system, the pathogenic CNVs as genomic defects could be corrected. In conclusion, the recent novel findings of schizophrenia-associated CNVs offer an exciting opportunity for schizophrenia research to decipher the pathological mechanisms underlying the onset and development of schizophrenia as well as to provide potential clinical applications in genetic counseling, diagnosis, and therapy for this complex mental disease.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychological Medicine, Wenzhou Seventh People's HospitalWenzhou, China.,Department of Psychological Medicine, Tianjin Anding HospitalTianjin, China
| | - Weihong Hou
- Department of Biology, University of North Carolina at CharlotteCharlotte, NC, United States.,Department of Biochemistry and Molecular Biology, Zhengzhou UniversityZhengzhou, China
| | - Chongguang Lin
- Department of Psychological Medicine, Wenzhou Seventh People's HospitalWenzhou, China
| | - Lirong Hu
- Department of Psychological Medicine, Wenzhou Seventh People's HospitalWenzhou, China
| | - Jie Li
- Department of Psychological Medicine, Tianjin Anding HospitalTianjin, China
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Hsu WCJ, Wildburger NC, Haidacher SJ, Nenov MN, Folorunso O, Singh AK, Chesson BC, Franklin WF, Cortez I, Sadygov RG, Dineley KT, Rudra JS, Taglialatela G, Lichti CF, Denner L, Laezza F. PPARgamma agonists rescue increased phosphorylation of FGF14 at S226 in the Tg2576 mouse model of Alzheimer's disease. Exp Neurol 2017; 295:1-17. [PMID: 28522250 DOI: 10.1016/j.expneurol.2017.05.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 04/13/2017] [Accepted: 05/13/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Cognitive impairment in humans with Alzheimer's disease (AD) and in animal models of Aβ-pathology can be ameliorated by treatments with the nuclear receptor peroxisome proliferator-activated receptor-gamma (PPARγ) agonists, such as rosiglitazone (RSG). Previously, we demonstrated that in the Tg2576 animal model of AD, RSG treatment rescued cognitive deficits and reduced aberrant activity of granule neurons in the dentate gyrus (DG), an area critical for memory formation. METHODS We used a combination of mass spectrometry, confocal imaging, electrophysiology and split-luciferase assay and in vitro phosphorylation and Ingenuity Pathway Analysis. RESULTS Using an unbiased, quantitative nano-LC-MS/MS screening, we searched for potential molecular targets of the RSG-dependent rescue of DG granule neurons. We found that S226 phosphorylation of fibroblast growth factor 14 (FGF14), an accessory protein of the voltage-gated Na+ (Nav) channels required for neuronal firing, was reduced in Tg2576 mice upon treatment with RSG. Using confocal microscopy, we confirmed that the Tg2576 condition decreased PanNav channels at the AIS of the DG, and that RSG treatment of Tg2576 mice reversed the reduction in PanNav channels. Analysis from previously published data sets identified correlative changes in action potential kinetics in RSG-treated T2576 compared to untreated and wildtype controls. In vitro phosphorylation and mass spectrometry confirmed that the multifunctional kinase GSK-3β, a downstream target of insulin signaling highly implicated in AD, phosphorylated FGF14 at S226. Assembly of the FGF14:Nav1.6 channel complex and functional regulation of Nav1.6-mediated currents by FGF14 was impaired by a phosphosilent S226A mutation. Bioinformatics pathway analysis of mass spectrometry and biochemistry data revealed a highly interconnected network encompassing PPARγ, FGF14, SCN8A (Nav 1.6), and the kinases GSK-3 β, casein kinase 2β, and ERK1/2. CONCLUSIONS These results identify FGF14 as a potential PPARγ-sensitive target controlling Aβ-induced dysfunctions of neuronal activity in the DG underlying memory loss in early AD.
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Affiliation(s)
- Wei-Chun J Hsu
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Biochemistry and Molecular Biology Graduate Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; M.D./Ph.D. Combined Degree Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Norelle C Wildburger
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Neuroscience Graduate Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Department of Neurology, Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO 63110, United States
| | - Sigmund J Haidacher
- Department of Internal Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Miroslav N Nenov
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Oluwarotimi Folorunso
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Aditya K Singh
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Brent C Chesson
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Whitney F Franklin
- Neuroscience Graduate Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Department of Neurology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Ibdanelo Cortez
- Neuroscience Graduate Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Rovshan G Sadygov
- Biochemistry and Molecular Biology Graduate Program, Graduate School of Biomedical Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Sealy Center for Molecular Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Kelly T Dineley
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Department of Neurology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Center for Addiction Research, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Jay S Rudra
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Giulio Taglialatela
- Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Department of Neurology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Cheryl F Lichti
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Larry Denner
- Sealy Center for Molecular Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Department of Internal Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Center for Addiction Research, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States
| | - Fernanda Laezza
- Department of Pharmacology & Toxicology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Mitchell Center for Neurodegenerative Diseases, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Center for Addiction Research, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States; Center for Biomedical Engineering, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, United States.
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 5: a hint from chromosome 5 high density association screen. Am J Transl Res 2017; 9:2473-2491. [PMID: 28559998 PMCID: PMC5446530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 01/31/2017] [Indexed: 06/07/2023]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes, M. F. Genet Med 2012, 14, 338-341) and any two or even three of these disorders could co-exist in some families. In addition, evidence from symptomatology and psychopharmacology also imply that there are intrinsic connections between these three major disorders. A total of 56,569 single nucleotide polymorphism (SNPs) on chromosome 5 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1000 controls. Associated SNPs and flanking genes was screen out systematically, and cadherin pathway genes (CDH6, CDH9, CDH10, CDH12, and CDH18) belong to outstanding genes. Unexpectedly, nearly all flanking genes of the associated SNPs distinctive for BPD and MDD were replicated in an enlarged cohort of 986 SCZ patients (P ≤ 9.9E-8). Considering multiple bits of evidence, our chromosome 5 analyses implicated that bipolar and major depressive disorder might be subtypes of schizophrenia rather than two independent disease entities. Also, cadherin pathway genes play important roles in the pathogenesis of the three major mental disorders.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Bin Cai
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Xiaohong Chen
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
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Di Re J, Wadsworth PA, Laezza F. Intracellular Fibroblast Growth Factor 14: Emerging Risk Factor for Brain Disorders. Front Cell Neurosci 2017; 11:103. [PMID: 28469558 PMCID: PMC5396478 DOI: 10.3389/fncel.2017.00103] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/28/2017] [Indexed: 01/31/2023] Open
Abstract
The finely tuned regulation of neuronal firing relies on the integrity of ion channel macromolecular complexes. Minimal disturbances of these tightly regulated networks can lead to persistent maladaptive plasticity of brain circuitry. The intracellular fibroblast growth factor 14 (FGF14) belongs to the nexus of proteins interacting with voltage-gated Na+ (Nav) channels at the axonal initial segment. Through isoform-specific interactions with the intracellular C-terminal tail of neuronal Nav channels (Nav1.1, Nav1.2, Nav1.6), FGF14 controls channel gating, axonal targeting and phosphorylation in neurons effecting excitability. FGF14 has been also involved in synaptic transmission, plasticity and neurogenesis in the cortico-mesolimbic circuit with cognitive and affective behavioral outcomes. In translational studies, interest in FGF14 continues to rise with a growing list of associative links to diseases of the cognitive and affective domains such as neurodegeneration, depression, anxiety, addictive behaviors and recently schizophrenia, suggesting its role as a converging node in the etiology of complex brain disorders. Yet, a full understanding of FGF14 function in neurons is far from being complete and likely to involve other functions unrelated to the direct regulation of Nav channels. The goal of this Mini Review article is to provide a summary of studies on the emerging role of FGF14 in complex brain disorders.
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Affiliation(s)
- Jessica Di Re
- Neuroscience Graduate Program, University of Texas Medical BranchGalveston, TX, USA.,Department of Pharmacology and Toxicology, University of Texas Medical BranchGalveston, TX, USA
| | - Paul A Wadsworth
- Biochemistry and Molecular Biology Graduate Program, The University of Texas Medical BranchGalveston, TX, USA
| | - Fernanda Laezza
- Department of Pharmacology and Toxicology, University of Texas Medical BranchGalveston, TX, USA.,Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical BranchGalveston, TX, USA.,Center for Addiction Research, The University of Texas Medical BranchGalveston, TX, USA
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49
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Functional implications of Neandertal introgression in modern humans. Genome Biol 2017; 18:61. [PMID: 28366169 PMCID: PMC5376702 DOI: 10.1186/s13059-017-1181-7] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 02/23/2017] [Indexed: 01/05/2023] Open
Abstract
Background Admixture between early modern humans and Neandertals approximately 50,000–60,000 years ago has resulted in 1.5–4% Neandertal ancestry in the genomes of present-day non-Africans. Evidence is accumulating that some of these archaic alleles are advantageous for modern humans, while others are deleterious; however, the major mechanism by which these archaic alleles act has not been fully explored. Results Here we assess the contributions of introgressed non-synonymous and regulatory variants to modern human protein and gene expression variation. We show that gene expression changes are more often associated with Neandertal ancestry than expected, and that the introgressed non-synonymous variants tend to have less predicted functional effect on modern human proteins than mutations that arose on the human lineage. Conversely, introgressed alleles contribute proportionally more to expression variation than non-introgressed alleles. Conclusions Our results suggest that the major influence of Neandertal introgressed alleles is through their effects on gene regulation. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1181-7) contains supplementary material, which is available to authorized users.
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Bradshaw NJ, Hayashi MAF. NDE1 and NDEL1 from genes to (mal)functions: parallel but distinct roles impacting on neurodevelopmental disorders and psychiatric illness. Cell Mol Life Sci 2017; 74:1191-1210. [PMID: 27742926 PMCID: PMC11107680 DOI: 10.1007/s00018-016-2395-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 09/13/2016] [Accepted: 10/06/2016] [Indexed: 01/01/2023]
Abstract
NDE1 (Nuclear Distribution Element 1, also known as NudE) and NDEL1 (NDE-Like 1, also known as NudEL) are the mammalian homologues of the fungus nudE gene, with important and at least partially overlapping roles for brain development. While a large number of studies describe the various properties and functions of these proteins, many do not directly compare the similarities and differences between NDE1 and NDEL1. Although sharing a high degree structural similarity and multiple common cellular roles, each protein presents several distinct features that justify their parallel but also unique functions. Notably both proteins have key binding partners in dynein, LIS1 and DISC1, which impact on neurodevelopmental and psychiatric illnesses. Both are implicated in schizophrenia through genetic and functional evidence, with NDE1 also strongly implicated in microcephaly, as well as other neurodevelopmental and psychiatric conditions through copy number variation, while NDEL1 possesses an oligopeptidase activity with a unique potential as a biomarker in schizophrenia. In this review, we aim to give a comprehensive overview of the various cellular roles of these proteins in a "bottom-up" manner, from their biochemistry and protein-protein interactions on the molecular level, up to the consequences for neuronal differentiation, and ultimately to their importance for correct cortical development, with direct consequences for the pathophysiology of neurodevelopmental and mental illness.
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Affiliation(s)
- Nicholas J Bradshaw
- Department of Neuropathology, Heinrich Heine University, Düsseldorf, Germany.
| | - Mirian A F Hayashi
- Department of Pharmacology, Universidade Federal de São Paulo (UNIFESP/EPM), São Paulo, Brazil
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