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Liu D, Meyer D, Fennessy B, Feng C, Cheng E, Johnson JS, Park YJ, Rieder MK, Ascolillo S, de Pins A, Dobbyn A, Lebovitch D, Moya E, Nguyen TH, Wilkins L, Hassan A, Burdick KE, Buxbaum JD, Domenici E, Frangou S, Hartmann AM, Laurent-Levinson C, Malhotra D, Pato CN, Pato MT, Ressler K, Roussos P, Rujescu D, Arango C, Bertolino A, Blasi G, Bocchio-Chiavetto L, Campion D, Carr V, Fullerton JM, Gennarelli M, González-Peñas J, Levinson DF, Mowry B, Nimgaokar VL, Pergola G, Rampino A, Cervilla JA, Rivera M, Schwab SG, Wildenauer DB, Daly M, Neale B, Singh T, O'Donovan MC, Owen MJ, Walters JT, Ayub M, Malhotra AK, Lencz T, Sullivan PF, Sklar P, Stahl EA, Huckins LM, Charney AW. Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations. Nat Genet 2023; 55:369-376. [PMID: 36914870 PMCID: PMC10011128 DOI: 10.1038/s41588-023-01305-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/23/2023] [Indexed: 03/14/2023]
Abstract
Schizophrenia (SCZ) is a chronic mental illness and among the most debilitating conditions encountered in medical practice. A recent landmark SCZ study of the protein-coding regions of the genome identified a causal role for ten genes and a concentration of rare variant signals in evolutionarily constrained genes1. This recent study-and most other large-scale human genetics studies-was mainly composed of individuals of European (EUR) ancestry, and the generalizability of the findings in non-EUR populations remains unclear. To address this gap, we designed a custom sequencing panel of 161 genes selected based on the current knowledge of SCZ genetics and sequenced a new cohort of 11,580 SCZ cases and 10,555 controls of diverse ancestries. Replicating earlier work, we found that cases carried a significantly higher burden of rare protein-truncating variants (PTVs) among evolutionarily constrained genes (odds ratio = 1.48; P = 5.4 × 10-6). In meta-analyses with existing datasets totaling up to 35,828 cases and 107,877 controls, this excess burden was largely consistent across five ancestral populations. Two genes (SRRM2 and AKAP11) were newly implicated as SCZ risk genes, and one gene (PCLO) was identified as shared by individuals with SCZ and those with autism. Overall, our results lend robust support to the rare allelic spectrum of the genetic architecture of SCZ being conserved across diverse human populations.
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Affiliation(s)
- Dongjing Liu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Dara Meyer
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian Fennessy
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Claudia Feng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Wellcome Sanger Institute, Hinxton, UK
| | - Esther Cheng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica S Johnson
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - You Jeong Park
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marysia-Kolbe Rieder
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven Ascolillo
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Agathe de Pins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amanda Dobbyn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dannielle Lebovitch
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emily Moya
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tan-Hoang Nguyen
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Lillian Wilkins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Katherine E Burdick
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Enrico Domenici
- Centre for Computational and Systems Biology, Fondazione The Microsoft Research - University of Trento, Rovereto, Italy
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Claudine Laurent-Levinson
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique n°15-Troubles Psychiatriques et Développement, Department of Child and Adolescent Psychiatry, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP Sorbonne Université, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
| | - Dheeraj Malhotra
- Department of Neuroscience and Rare Diseases, Roche Pharma Research and Early Development, F. Hoffmann-La Roche, Basel, Switzerland
| | - Carlos N Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate College of Medicine, New York, NY, USA
| | - Michele T Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate College of Medicine, New York, NY, USA
| | - Kerry Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
| | - Panos Roussos
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Alessandro Bertolino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Luisella Bocchio-Chiavetto
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Dominique Campion
- INSERM U1245, Rouen, France
- Centre Hospitalier du Rouvray, Rouen, France
| | - Vaughan Carr
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Psychiatry, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Massimo Gennarelli
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Javier González-Peñas
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | | | - Bryan Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Vishwajit L Nimgaokar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Giulio Pergola
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Antonio Rampino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Jorge A Cervilla
- Institute of Neurosciences, Biomedical Research Centre, University of Granada, Granada, Spain
- Department of Psychiatry, San Cecilio University Hospital, University of Granada, Granada, Spain
| | - Margarita Rivera
- Institute of Neurosciences, Biomedical Research Centre, University of Granada, Granada, Spain
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
| | - Sibylle G Schwab
- Molecular Horizons, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | | | - Mark Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Benjamin Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Tarjinder Singh
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - James T Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Muhammad Ayub
- University College London, London, UK
- Department of Psychiatry, Queen's University, Kingston, Ontario, Canada
| | - Anil K Malhotra
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, New York, NY, USA
| | - Todd Lencz
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, New York, NY, USA
| | - Patrick F Sullivan
- Departments of Genetics and Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Pamela Sklar
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eli A Stahl
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Laura M Huckins
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Alexander W Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Xu R, Yang L, Zhang Z, Liao Y, Yu Y, Zhou D, Li J, Guan H, Xiao W. Cancer-associated fibroblast related gene signature in Helicobacter pylori-based subtypes of gastric carcinoma for prognosis and tumor microenvironment estimation in silico analysis. Front Med (Lausanne) 2023; 10:1079470. [PMID: 36744128 PMCID: PMC9889637 DOI: 10.3389/fmed.2023.1079470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/03/2023] [Indexed: 01/20/2023] Open
Abstract
Introduction Gastric cancer (GC) remains the major constituent of cancer-related deaths and a global public health challenge with a high incidence rate. Helicobacter pylori (HP) plays an essential role in promoting the occurrence and progression of GC. Cancer-associated fibroblasts (CAFs) are regarded as a significant component in the tumor microenvironment (TME), which is related to the metastasis of GC. However, the regulation mechanisms of CAFs in HP-related GC are not elucidated thoroughly. Methods HP-related genes (HRGs) were downloaded from the GSE84437 and TCGA-GC databases. The two databases were combined into one cohort for training. Furthermore, the consensus unsupervised clustering analysis was obtained to sort the training cohort into different groups for the identification of differential expression genes (DEGs). Weighted correlation network analysis (WGCNA) was performed to verify the correlation between the DEGs and cancer-associated fibroblasts which were key components in the tumor microenvironment. The least absolute shrinkage and selection operator (LASSO) was executed to find cancer-associated fibroblast-related differential expression genes (CDEGs) for the further establishment of a prognostic model. Results and discussion In this study, 52 HP-related genes (HRGs) were screened out based on the GSE84437 and TCGA-GC databases. A total of 804 GC samples were analyzed, respectively, and clustered into two HP-related subtypes. The DEGs identified from the two subtypes were proved to have a relationship with TME. After WGCNA and LASSO, the CAFs-related module was identified, from which 21 gene signatures were confirmed. Then, a CDEGs-Score was constructed and its prediction efficiency in GC patients was conducted for validation. Overall, a highly precise nomogram was established for enhancing the adaptability of the CDEGs-Score. Furthermore, our findings revealed the applicability of CDEGs-Score in the sensitivity of chemotherapeutic drugs. In general, our research provided brand-new possibilities for comprehending HP-related GC, evaluating survival, and more efficient therapeutic strategies.
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Affiliation(s)
- Ruofan Xu
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Le Yang
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Zhewen Zhang
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yuxuan Liao
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yao Yu
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Dawei Zhou
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jiahao Li
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Haoyu Guan
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Wei Xiao
- Department of Infectious Disease, Third Xiangya Hospital, Central South University, Changsha, Hunan, China,*Correspondence: Wei Xiao,
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Qi C, Luo LD, Feng I, Ma S. Molecular mechanisms of synaptogenesis. Front Synaptic Neurosci 2022; 14:939793. [PMID: 36176941 PMCID: PMC9513053 DOI: 10.3389/fnsyn.2022.939793] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022] Open
Abstract
Synapses are the basic units for information processing and storage in the nervous system. It is only when the synaptic connection is established, that it becomes meaningful to discuss the structure and function of a circuit. In humans, our unparalleled cognitive abilities are correlated with an increase in the number of synapses. Additionally, genes involved in synaptogenesis are also frequently associated with neurological or psychiatric disorders, suggesting a relationship between synaptogenesis and brain physiology and pathology. Thus, understanding the molecular mechanisms of synaptogenesis is the key to the mystery of circuit assembly and neural computation. Furthermore, it would provide therapeutic insights for the treatment of neurological and psychiatric disorders. Multiple molecular events must be precisely coordinated to generate a synapse. To understand the molecular mechanisms underlying synaptogenesis, we need to know the molecular components of synapses, how these molecular components are held together, and how the molecular networks are refined in response to neural activity to generate new synapses. Thanks to the intensive investigations in this field, our understanding of the process of synaptogenesis has progressed significantly. Here, we will review the molecular mechanisms of synaptogenesis by going over the studies on the identification of molecular components in synapses and their functions in synaptogenesis, how cell adhesion molecules connect these synaptic molecules together, and how neural activity mobilizes these molecules to generate new synapses. Finally, we will summarize the human-specific regulatory mechanisms in synaptogenesis and results from human genetics studies on synaptogenesis and brain disorders.
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Affiliation(s)
- Cai Qi
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
- *Correspondence: Cai Qi,
| | - Li-Da Luo
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
- Department of Cellular and Molecular Physiology, Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale University School of Medicine, New Haven, CT, United States
| | - Irena Feng
- Boston University School of Medicine, Boston, MA, United States
| | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
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Kusui Y, Izuo N, Uno K, Ge B, Muramatsu SI, Nitta A. Knockdown of Piccolo in the Nucleus Accumbens Suppresses Methamphetamine-Induced Hyperlocomotion and Conditioned Place Preference in Mice. Neurochem Res 2022; 47:2856-2864. [PMID: 35906352 DOI: 10.1007/s11064-022-03680-3] [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] [Received: 03/12/2022] [Revised: 06/30/2022] [Accepted: 07/06/2022] [Indexed: 11/30/2022]
Abstract
Methamphetamine (METH), the most widely distributed psychostimulant, aberrantly activates the reward system in the brain to induce addictive behaviors. The presynaptic protein "Piccolo", encoded by Pclo, was identified as a METH-responsive protein with enhanced expression in the nucleus accumbens (NAc) in mice. Although the physiological and pathological significance of Piccolo has been identified in dopaminergic signaling, its role in METH-induced behavioral abnormalities and the underlying mechanisms remain unclear. To clarify such functions, mice with Piccolo knockdown in the NAc (NAc-miPiccolo mice) by local injection of an adeno-associated virus vector carrying miRNA targeting Pclo were generated and investigated. NAc-miPiccolo mice exhibited suppressed hyperlocomotion, sensitization, and conditioned place preference behavior induced by systemic administration of METH. The excessive release of dopamine in the NAc was reduced in NAc-miPiccolo mice at baseline and in response to METH. These results suggest that Piccolo in the NAc is involved in METH-induced behavioral alterations and is a candidate therapeutic target for the treatment of drug addiction.
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Affiliation(s)
- Yuka Kusui
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Naotaka Izuo
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Kyosuke Uno
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Laboratory of Molecular Pharmacology, Faculty of Pharmaceutical Sciences, Setsunan University, Hirakata, Japan
| | - Bin Ge
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Shin-Ichi Muramatsu
- Division of Neurological Gene Therapy, Center for Open Innovation, Jichi Medical University, Shimotsuke, Japan
- Center for Gene & Cell Therapy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Atsumi Nitta
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
- Department of Pharmaceutical Therapy and Neuropharmacology, School of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
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5
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Cohen-Paes ADN, de Carvalho DC, Pastana LF, Dobbin EAF, Moreira FC, de Souza TP, Fernandes MR, Leal DFDVB, de Sá RBA, de Alcântara AL, Guerreiro JF, Ribeiro-dos-Santos Â, dos Santos SEB, de Assumpção PP, dos Santos NPC. Characterization of PCLO Gene in Amazonian Native American Populations. Genes (Basel) 2022; 13:genes13030499. [PMID: 35328053 PMCID: PMC8950494 DOI: 10.3390/genes13030499] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 11/16/2022] Open
Abstract
Genetic variations in PCLO have been associated with different pathologies in global literature, but there are no data regarding this gene in Native American populations. The Amazonian Native American populations have lower genetic diversity and are more different from other continental groups. We investigated 18 genetic variants in the PCLO gene in Amazonian indigenous and compared our results with the ones found in global populations, which were publicly available in the 1000 Genomes Project, gnmAD and ABraOM databases. The results demonstrated that the variants of the PCLO, especially rs17156844, rs550369696, rs61741659 and rs2877, have a significantly higher frequency in Amerindian populations in comparison with other continental populations. These data outline the singular genetic profile of the Native American population from the Brazilian Amazon region.
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Affiliation(s)
- Amanda de Nazaré Cohen-Paes
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Darlen Cardoso de Carvalho
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
| | - Lucas Favacho Pastana
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Elizabeth Ayres Fragoso Dobbin
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Fabiano Cordeiro Moreira
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Tatiane Piedade de Souza
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Marianne Rodrigues Fernandes
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
- Correspondence: ; Tel.: +55-91-99123-4727
| | - Diana Feio da Veiga Borges Leal
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Roberta Borges Andrade de Sá
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Angélica Leite de Alcântara
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - João Farias Guerreiro
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Ândrea Ribeiro-dos-Santos
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Sidney Emanuel Batista dos Santos
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
| | - Paulo Pimentel de Assumpção
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
| | - Ney Pereira Carneiro dos Santos
- Núcleo de Pesquisa em Oncologia, Federal University of Pará, Belém 66073-000, Brazil; (A.d.N.C.-P.); (D.C.d.C.); (L.F.P.); (E.A.F.D.); (F.C.M.); (D.F.d.V.B.L.); (R.B.A.d.S.); (A.L.d.A.); (Â.R.-d.-S.); (S.E.B.d.S.); (P.P.d.A.); (N.P.C.d.S.)
- Laboratório de Genética Humana e Médica, Federal University of Pará, Belém 66073-000, Brazil; (T.P.d.S.); (J.F.G.)
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6
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Chen CH, Huang YS, Liao DL, Huang CY, Lin CH, Fang TH. Identification of Rare Mutations of Two Presynaptic Cytomatrix Genes BSN and PCLO in Schizophrenia and Bipolar Disorder. J Pers Med 2021; 11:jpm11111057. [PMID: 34834409 PMCID: PMC8625612 DOI: 10.3390/jpm11111057] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/11/2021] [Accepted: 10/19/2021] [Indexed: 12/14/2022] Open
Abstract
Schizophrenia and bipolar disorder are severe mental disorders with a major component of genetic factors in their etiology. Rare mutations play a significant role in these two disorders, and they are highly heterogeneous and personalized. Identification of personalized mutations is essential for the establishment of molecular diagnosis, providing insight into pathogenesis and guiding the personalized treatment for each affected patient. We conducted whole-genome sequencing analysis of families with schizophrenia and bipolar disorder to search for their genetic underpinnings. This report identified a rare missense mutation Arg1087Gln of BSN (bassoon presynaptic cytomatrix protein) co-segregating with schizophrenia in a family with multiple affected members. Furthermore, we identified the rare missense mutation Ser1535Leu of PCLO (piccolo presynaptic cytomatrix protein) in two sisters with bipolar disorder and another rare missense mutation, His5142Arg in PCLO, in a patient with schizophrenia. These three missense mutations were very rare and were predicted to be pathogenic. The BSN and PCLO genes encode two structurally related proteins of the presynaptic cytomatrix at the active zone that regulates neurotransmission at the presynaptic neuronal terminal. Our findings suggest the involvement of the presynaptic matrix in the pathogenesis of schizophrenia and bipolar disorder, and BSN and PCLO are the risk genes for schizophrenia and bipolar disorder.
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Affiliation(s)
- Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan;
- Department and Institute of Biomedical Sciences, Chang Gung University, Taoyuan 333, Taiwan;
- Correspondence:
| | - Yu-Shu Huang
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan;
| | - Ding-Lieh Liao
- Taoyuan Psychiatric Center, Department of General Psychiatry, Taoyuan 330, Taiwan; (D.-L.L.); (C.-H.L.)
| | - Cheng-Yi Huang
- Bali Psychiatric Center, Department of Community Psychiatry, New Taipei City 249, Taiwan;
| | - Chia-Heng Lin
- Taoyuan Psychiatric Center, Department of General Psychiatry, Taoyuan 330, Taiwan; (D.-L.L.); (C.-H.L.)
| | - Ting-Hsuan Fang
- Department and Institute of Biomedical Sciences, Chang Gung University, Taoyuan 333, Taiwan;
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7
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Choi J, Bodenstein DF, Geraci J, Andreazza AC. Evaluation of postmortem microarray data in bipolar disorder using traditional data comparison and artificial intelligence reveals novel gene targets. J Psychiatr Res 2021; 142:328-336. [PMID: 34419753 DOI: 10.1016/j.jpsychires.2021.08.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 07/20/2021] [Accepted: 08/13/2021] [Indexed: 11/16/2022]
Abstract
Large-scale microarray studies on post-mortem brain tissues have been utilized to investigate the complex molecular pathology of bipolar disorder. However, a major challenge in characterizing the dysregulation of gene expression in patients with bipolar disorder includes the lack of convergence between different studies, limiting comprehensive understanding from individual results. In this study, we aimed to identify genes that are both validated in published literature and are important classification features of unsupervised machine learning analysis of Stanley Brain Bank microarray database, followed by augmented intelligence method to identify distinct patient molecular subgroups. Through combining traditional literature approaches and machine learning, we identified TBL1XR1, SMARCA2, and CHMP5 to be replicated in 3 of the 4 studies included our analysis. The expression of these genes segregated unique subgroups of patients with bipolar disorder. Our study suggests the involvement of PPARγ pathway regulation in patients with bipolar disorder.
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Affiliation(s)
- Jaehyoung Choi
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - David F Bodenstein
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Joseph Geraci
- NetraMark Corp, Toronto, ON, Canada; Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada; Centre for Biotechnology and Genomics Medicine, Medical College of Georgia, Augusta, GA, United States
| | - Ana C Andreazza
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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8
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Nitta A, Izuo N, Hamatani K, Inagaki R, Kusui Y, Fu K, Asano T, Torii Y, Habuchi C, Sekiguchi H, Iritani S, Muramatsu SI, Ozaki N, Miyamoto Y. Schizophrenia-Like Behavioral Impairments in Mice with Suppressed Expression of Piccolo in the Medial Prefrontal Cortex. J Pers Med 2021; 11:jpm11070607. [PMID: 34206873 PMCID: PMC8304324 DOI: 10.3390/jpm11070607] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/12/2021] [Accepted: 06/18/2021] [Indexed: 11/22/2022] Open
Abstract
Piccolo, a presynaptic cytomatrix protein, plays a role in synaptic vesicle trafficking in the presynaptic active zone. Certain single-nucleotide polymorphisms of the Piccolo-encoding gene PCLO are reported to be associated with mental disorders. However, a few studies have evaluated the relationship between Piccolo dysfunction and psychotic symptoms. Therefore, we investigated the neurophysiological and behavioral phenotypes in mice with Piccolo suppression in the medial prefrontal cortex (mPFC). Downregulation of Piccolo in the mPFC reduced regional synaptic proteins, accompanied with electrophysiological impairments. The Piccolo-suppressed mice showed an enhanced locomotor activity, impaired auditory prepulse inhibition, and cognitive dysfunction. These abnormal behaviors were partially ameliorated by the antipsychotic drug risperidone. Piccolo-suppressed mice received mild social defeat stress showed additional behavioral despair. Furthermore, the responses of these mice to extracellular glutamate and dopamine levels induced by the optical activation of mPFC projection in the dorsal striatum (dSTR) were inhibited. Similarly, the Piccolo-suppressed mice showed decreased depolarization-evoked glutamate and -aminobutyric acid elevations and increased depolarization-evoked dopamine elevation in the dSTR. These suggest that Piccolo regulates neurotransmission at the synaptic terminal of the projection site. Reduced neuronal connectivity in the mPFC-dSTR pathway via suppression of Piccolo in the mPFC may induce behavioral impairments observed in schizophrenia.
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Affiliation(s)
- Atsumi Nitta
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
- Correspondence: ; Tel.: +81-76-415-8822 (ext. 8823); Fax: +81-76-415-8826
| | - Naotaka Izuo
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
| | - Kohei Hamatani
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
| | - Ryo Inagaki
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
| | - Yuka Kusui
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
| | - Kequan Fu
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou 221004, China
| | - Takashi Asano
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
| | - Youta Torii
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; (Y.T.); (C.H.); (H.S.); (S.I.); (N.O.)
| | - Chikako Habuchi
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; (Y.T.); (C.H.); (H.S.); (S.I.); (N.O.)
| | - Hirotaka Sekiguchi
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; (Y.T.); (C.H.); (H.S.); (S.I.); (N.O.)
| | - Shuji Iritani
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; (Y.T.); (C.H.); (H.S.); (S.I.); (N.O.)
| | - Shin-ichi Muramatsu
- Open Innovation Center, Division of Neurological Gene Therapy, Jichi Medical University, Shimotsuke 329-0498, Japan;
- Center for Gene and Cell Therapy, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Norio Ozaki
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; (Y.T.); (C.H.); (H.S.); (S.I.); (N.O.)
| | - Yoshiaki Miyamoto
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (N.I.); (K.H.); (R.I.); (Y.K.); (K.F.); (T.A.); (Y.M.)
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Krebs CE, Ori APS, Vreeker A, Wu T, Cantor RM, Boks MPM, Kahn RS, Olde Loohuis LM, Ophoff RA. Whole blood transcriptome analysis in bipolar disorder reveals strong lithium effect. Psychol Med 2020; 50:2575-2586. [PMID: 31589133 DOI: 10.1017/s0033291719002745] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a highly heritable mood disorder with complex genetic architecture and poorly understood etiology. Previous transcriptomic BD studies have had inconsistent findings due to issues such as small sample sizes and difficulty in adequately accounting for confounders like medication use. METHODS We performed a differential expression analysis in a well-characterized BD case-control sample (Nsubjects = 480) by RNA sequencing of whole blood. We further performed co-expression network analysis, functional enrichment, and cell type decomposition, and integrated differentially expressed genes with genetic risk. RESULTS While we observed widespread differential gene expression patterns between affected and unaffected individuals, these effects were largely linked to lithium treatment at the time of blood draw (FDR < 0.05, Ngenes = 976) rather than BD diagnosis itself (FDR < 0.05, Ngenes = 6). These lithium-associated genes were enriched for cell signaling and immune response functional annotations, among others, and were associated with neutrophil cell-type proportions, which were elevated in lithium users. Neither genes with altered expression in cases nor in lithium users were enriched for BD, schizophrenia, and depression genetic risk based on information from genome-wide association studies, nor was gene expression associated with polygenic risk scores for BD. CONCLUSIONS These findings suggest that BD is associated with minimal changes in whole blood gene expression independent of medication use but emphasize the importance of accounting for medication use and cell type heterogeneity in psychiatric transcriptomic studies. The results of this study add to mounting evidence of lithium's cell signaling and immune-related mechanisms.
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Affiliation(s)
- Catharine E Krebs
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
| | - Anil P S Ori
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Annabel Vreeker
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Timothy Wu
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Rita M Cantor
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
| | - Marco P M Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rene S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Ackermann F, Schink KO, Bruns C, Izsvák Z, Hamra FK, Rosenmund C, Garner CC. Critical role for Piccolo in synaptic vesicle retrieval. eLife 2019; 8:46629. [PMID: 31074746 PMCID: PMC6541439 DOI: 10.7554/elife.46629] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 05/09/2019] [Indexed: 12/30/2022] Open
Abstract
Loss of function of the active zone protein Piccolo has recently been linked to a disease, Pontocerebellar Hypoplasia type 3, which causes brain atrophy. Here, we address how Piccolo inactivation in rat neurons adversely affects synaptic function and thus may contribute to neuronal loss. Our analysis shows that Piccolo is critical for the recycling and maintenance of synaptic vesicles. We find that boutons lacking Piccolo have deficits in the Rab5/EEA1 dependent formation of early endosomes and thus the recycling of SVs. Mechanistically, impaired Rab5 function was caused by reduced synaptic recruitment of Pra1, known to interact selectively with the zinc finger domains of Piccolo. Importantly, over-expression of GTPase deficient Rab5 or the Znf1 domain of Piccolo restores the size and recycling of SV pools. These data provide a molecular link between the active zone and endosome sorting at synapses providing hints to how Piccolo contributes to developmental and psychiatric disorders.
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Affiliation(s)
- Frauke Ackermann
- German Center for Neurodegenerative Diseases e.V. (DZNE), Charité Medical University, Berlin, Germany
| | - Kay Oliver Schink
- Center for Cancer Biomedicine, University of Oslo, Norwegian Radium Hospital, Oslo, Norway
| | - Christine Bruns
- German Center for Neurodegenerative Diseases e.V. (DZNE), Charité Medical University, Berlin, Germany
| | - Zsuzsanna Izsvák
- Max-Delbrück Center for Molecular Medicine in the Helmholtz Society, Berlin, Germany
| | - F Kent Hamra
- Department of Obstetrics and Gynecology, University of Texas Southwestern, Dallas, United States
| | - Christian Rosenmund
- NeuroCure Cluster of Excellence, Neuroscience Research Center, Charité Medical University, Berlin, Germany
| | - Craig Curtis Garner
- German Center for Neurodegenerative Diseases e.V. (DZNE), Charité Medical University, Berlin, Germany
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11
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Vornholt E, Luo D, Qiu W, McMichael GO, Liu Y, Gillespie N, Ma C, Vladimirov VI. Postmortem brain tissue as an underutilized resource to study the molecular pathology of neuropsychiatric disorders across different ethnic populations. Neurosci Biobehav Rev 2019; 102:195-207. [PMID: 31028758 DOI: 10.1016/j.neubiorev.2019.04.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 03/27/2019] [Accepted: 04/23/2019] [Indexed: 12/14/2022]
Abstract
In recent years, large scale meta-analysis of genome-wide association studies (GWAS) have reliably identified genetic polymorphisms associated with neuropsychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). However, the majority of disease-associated single nucleotide polymorphisms (SNPs) appear within functionally ambiguous non-coding genomic regions. Recently, increased emphasis has been placed on identifying the functional relevance of disease-associated variants via correlating risk polymorphisms with gene expression levels in etiologically relevant tissues. For neuropsychiatric disorders, the etiologically relevant tissue is brain, which requires robust postmortem sample sizes from varying genetic backgrounds. While small sample sizes are of decreasing concern, postmortem brain databases are composed almost exclusively of Caucasian samples, which significantly limits study design and result interpretation. In this review, we highlight the importance of gene expression and expression quantitative loci (eQTL) studies in clinically relevant postmortem tissue while addressing the current limitations of existing postmortem brain databases. Finally, we introduce future collaborations to develop postmortem brain databases for neuropsychiatric disorders from Chinese and Asian subpopulations.
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Affiliation(s)
- Eric Vornholt
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA.
| | - Dan Luo
- National Key Laboratory of Medical Molecular Biology & Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Wenying Qiu
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China
| | - Gowon O McMichael
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA
| | - Yangyang Liu
- School of Education, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA
| | - Chao Ma
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China; Joint Laboratory of Anesthesia and Pain, Peking Union Medical College. Beijing, 100730, China.
| | - Vladimir I Vladimirov
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA; Center for Biomarker Research, Virginia Commonwealth University, Richmond, 410 North 12th Street, Richmond, VA 23298, USA; Department of Physiology & Biophysics, Virginia Commonwealth University, 1101 East Marshall Street, Richmond, VA 23298, USA; Lieber Institute for Brain Development, Johns Hopkins University, 855 North Wolfe Street, Suite 300, 3rd Floor, Baltimore, MD 21205, USA.
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12
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Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine. Neurocomputing 2019. [DOI: 10.1016/j.neucom.2018.02.096] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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13
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Xiao X, Zhang C, Grigoroiu-Serbanescu M, Wang L, Li L, Zhou D, Yuan TF, Wang C, Chang H, Wu Y, Li Y, Wu DD, Yao YG, Li M. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders. Mol Psychiatry 2018; 23:1957-1967. [PMID: 29158582 DOI: 10.1038/mp.2017.243] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/25/2017] [Accepted: 09/14/2017] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BPD), schizophrenia (SCZ) and unipolar major depressive disorder (MDD) are primary psychiatric disorders sharing substantial genetic risk factors. We previously reported that two single-nucleotide polymorphisms (SNPs) rs2709370 and rs6785 in the cAMP responsive element-binding (CREB)-1 gene (CREB1) were associated with the risk of BPD and abnormal hippocampal function in populations of European ancestry. In the present study, we further expanded our analyses of rs2709370 and rs6785 in multiple BPD, SCZ and MDD data sets, including the published Psychiatric Genomics Consortium (PGC) genome-wide association study, the samples used in our previous CREB1 study, and six additional cohorts (three new BPD samples, two new SCZ samples and one new MDD sample). Although the associations of both CREB1 SNPs with each illness were not replicated in the new cohorts (BPD analysis in 871 cases and 1089 controls (rs2709370, P=0.0611; rs6785, P=0.0544); SCZ analysis in 1273 cases and 1072 controls (rs2709370, P=0.230; rs6785, P=0.661); and MDD analysis in 129 cases and 100 controls (rs2709370, P=0.114; rs6785, P=0.188)), an overall meta-analysis of all included samples suggested that both SNPs were significantly associated with increased risk of BPD (11 105 cases and 51 331 controls; rs2709370, P=2.33 × 10-4; rs6785, P=6.33 × 10-5), SCZ (34 913 cases and 44 528 controls; rs2709370, P=3.96 × 10-5; rs6785, P=2.44 × 10-5) and MDD (9369 cases and 9619 controls; rs2709370, P=0.0144; rs6785, P=0.0314), with the same direction of allelic effects across diagnostic categories. We then examined the impact of diagnostic status on CREB1 mRNA expression using data obtained from independent brain tissue samples, and observed that the mRNA expression of CREB1 was significantly downregulated in psychiatric patients compared with healthy controls. The protein-protein interaction analyses showed that the protein encoded by CREB1 directly interacted with several risk genes of psychiatric disorders identified by GWAS. In conclusion, the current study suggests that CREB1 might be a common risk gene for major psychiatric disorders, and further investigations are necessary.
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Affiliation(s)
- X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - C Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
| | - L Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - L Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - D Zhou
- Ningbo Kangning Hospital, Ningbo, China
| | - T-F Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, China
| | - H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Li
- Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China
| | - D-D Wu
- State Key Laboratory of Genetic Resources and Evolution, Chinese Academy of Sciences, Kunming, China
| | - Y-G Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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14
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Inference of cell type content from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis. PLoS One 2018; 13:e0200003. [PMID: 30016334 PMCID: PMC6049916 DOI: 10.1371/journal.pone.0200003] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 06/18/2018] [Indexed: 01/01/2023] Open
Abstract
Psychiatric illness is unlikely to arise from pathology occurring uniformly across all cell types in affected brain regions. Despite this, transcriptomic analyses of the human brain have typically been conducted using macro-dissected tissue due to the difficulty of performing single-cell type analyses with donated post-mortem brains. To address this issue statistically, we compiled a database of several thousand transcripts that were specifically-enriched in one of 10 primary cortical cell types in previous publications. Using this database, we predicted the relative cell type content for 833 human cortical samples using microarray or RNA-Seq data from the Pritzker Consortium (GSE92538) or publicly-available databases (GSE53987, GSE21935, GSE21138, CommonMind Consortium). These predictions were generated by averaging normalized expression levels across transcripts specific to each cell type using our R-package BrainInABlender (validated and publicly-released on github). Using this method, we found that the principal components of variation in the datasets strongly correlated with the predicted neuronal/glial content of the samples. This variability was not simply due to dissection–the relative balance of brain cell types appeared to be influenced by a variety of demographic, pre- and post-mortem variables. Prolonged hypoxia around the time of death predicted increased astrocytic and endothelial gene expression, illustrating vascular upregulation. Aging was associated with decreased neuronal gene expression. Red blood cell gene expression was reduced in individuals who died following systemic blood loss. Subjects with Major Depressive Disorder had decreased astrocytic gene expression, mirroring previous morphometric observations. Subjects with Schizophrenia had reduced red blood cell gene expression, resembling the hypofrontality detected in fMRI experiments. Finally, in datasets containing samples with especially variable cell content, we found that controlling for predicted sample cell content while evaluating differential expression improved the detection of previously-identified psychiatric effects. We conclude that accounting for cell type can greatly improve the interpretability of transcriptomic data.
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15
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Matsuda H, Hiramatsu K, Akazawa Y, Nosaka T, Saito Y, Ozaki Y, Hayama R, Takahashi K, Naito T, Ofuji K, Ohtani M, Nemoto T, Hida Y, Kimura H, Soya Y, Nakamoto Y. Genetic polymorphism and decreased expression of HLA class II DP genes are associated with HBV reactivation in patients treated with immunomodulatory agents. J Med Virol 2018; 90:712-720. [PMID: 29283185 DOI: 10.1002/jmv.25011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 11/14/2017] [Indexed: 12/16/2022]
Abstract
Hepatitis B virus (HBV) reactivation can be triggered by immunosuppressive chemotherapy. HLA class II molecules may play a role in HBV reactivation. Genetic polymorphism and mRNA expression of HLA class II were examined in patients with latent HBV infection treated with immunosuppressive therapies. Subjects with resolved HBV infection who had undergone treatment with immunosuppressive chemotherapies were retrospectively enrolled (n = 42) and divided into reactivated (n = 9) and non-reactivated groups (n = 33). Patients were genotyped for 17 single nucleotide polymorphisms (SNPs) within HLA class II DPA1, and DPB1, and mRNA expression levels of HLA class II genes were assessed. The frequency of the AA genotype of rs872956, a SNP in HLA-DPB1, was significantly higher in the reactivated group than in the non-reactivated group (55.6% vs 12.1%, P < 0.05). The frequencies of the T allele and non-AA genotypes (AT/TT) of rs3116996 (located in DPB1) were significantly higher in the reactivated group (T allele frequency: 16.7% vs 0.0% [P < 0.01], non-AA genotype frequency: 22.2% vs 0.0% [P < 0.05]). Multivariate logistic regression identified the AA genotype of rs872956 as an independent protective factor against HBV reactivation (odds ratio [OR] = 18.1, 95% confidence interval [CI] = 2.6-126.7, P < 0.01). mRNA expression of HLA-DPB1 was lower in the HBV reactivated group than in the non-reactivated group (median 276.1 ± 165.6/β-actin vs 371.4 ± 407.5/β-actin [P < 0.05]). These results suggest the involvement of HLA class II molecules in HBV reactivation after treatment with immunomodulatory agents.
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Affiliation(s)
- Hidetaka Matsuda
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Katsushi Hiramatsu
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yu Akazawa
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Takuto Nosaka
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yasushi Saito
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yoshihiko Ozaki
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Ryoko Hayama
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Kazuto Takahashi
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tatsushi Naito
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Kazuya Ofuji
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Masahiro Ohtani
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tomoyuki Nemoto
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yukio Hida
- Department of Clinical Laboratories, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hideki Kimura
- Department of Clinical Laboratories, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yoshihiro Soya
- Tsuruga Institute of Biotechnology, Toyobo Co., Ltd., Osaka, Japan
| | - Yasunari Nakamoto
- Second Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
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16
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Ou J, Li M, Xiao X. The schizophrenia susceptibility gene ZNF804A confers risk of major mood disorders. World J Biol Psychiatry 2017; 18:557-562. [PMID: 27784192 DOI: 10.1080/15622975.2016.1252466] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Genome-wide association studies (GWAS) followed by independent replications suggest that ZNF804A is a risk gene for schizophrenia (SCZ), considering the substantial genetic overlap between SCZ and major mood disorders (e.g., bipolar disorder (BPD) and major depressive disorder (MDD)). METHODS We collected the data of two ZNF804A single-nucleotide polymorphisms (SNPs rs1344706 and rs7597593) from European and Asian populations to perform systematic meta-analyses with major mood disorders in a total of 65,240 subjects. RESULTS Meta-analysis showed that rs1344706 and rs7597593 were both associated with major mood disorders as well as diagnosis of either BPD or MDD, although neither of the analyses achieved a genome-wide level of statistical significance. CONCLUSIONS Our data provide evidence for the genetic involvement of ZNF804A SNPs in the susceptibility of major mood disorders, but further replication analyses in larger samples are necessary.
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Affiliation(s)
- Jianjun Ou
- a Mental Health Institute of the Second Xiangya Hospital, Central South University , Changsha , Hunan , China
| | - Ming Li
- b Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province , Kunming Institute of Zoology , Kunming , Yunnan , China
| | - Xiao Xiao
- b Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province , Kunming Institute of Zoology , Kunming , Yunnan , China
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17
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Hiramatsu K, Matsuda H, Nemoto T, Nosaka T, Saito Y, Naito T, Takahashi K, Ofuji K, Ohtani M, Suto H, Yasuda T, Hida Y, Kimura H, Soya Y, Nakamoto Y. Identification of novel variants in HLA class II region related to HLA DPB1 expression and disease progression in patients with chronic hepatitis C. J Med Virol 2017; 89:1574-1583. [PMID: 28332201 DOI: 10.1002/jmv.24814] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 03/01/2017] [Indexed: 02/06/2023]
Abstract
Recent genome-wide studies have demonstrated that HLA class II gene may play an important role in viral hepatitis. We studied genetic polymorphism and RNA expression of HLA class II genes in HCV-related liver diseases. The study was performed in groups consisting of 24 patients with HCV-related liver disease (12 of persistent normal ALT: PNALT group and 12 of advanced liver disease: ALD group) and 26 patients without HCV infection (control group). In PBMC samples, RNA expression of HLA class II genes (HLA-DPA1, DPB1, DQA1, DQB1, and DRB1) was analyzed by real-time RT-PCR. Furthermore, 22 single nucleotide polymorphisms (SNPs) in HLA class II gene and two SNPs in IL28B gene were genotyped by genetic analyzer (GENECUBE®). In expression analysis, only DPB1 level was significantly different. Mean expression level of DPB1gene in control group was 160.0, PNALT group 233.8, and ALD group 465.0 (P < 0.01). Of 24 SNPs, allele frequencies were statistically different in two SNPs (rs2071025 and rs3116996) between PNALT groups and ALD group (P < 0.01). In rs2071025, TT genotype was frequently detected in ALD group and expression level was significantly higher than the other genotypes (449.2 vs 312.9, P < 0.01). In rs3116996, TA or TT (non AA) genotype was frequently detected in ALD group and expression level was significantly higher than genotype AA (457.1 vs 220.9, P < 0.01). Genotyping and expression analysis in HLA class II gene revealed that two SNPs of HLA-DPB1 (rs2071025 and rs3116996) were significantly correlated to RNA expression and progression of HCV-related liver diseases.
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Affiliation(s)
- Katsushi Hiramatsu
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Hidetaka Matsuda
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Tomoyuki Nemoto
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Takuto Nosaka
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Yasushi Saito
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Tatsushi Naito
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Kazuto Takahashi
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Kazuya Ofuji
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Masahiro Ohtani
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Hiroyuki Suto
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Toshihiro Yasuda
- Faculty of Medical Sciences, Division of Medical Genetics and Biochemistry, University of Fukui, Fukui, Japan
| | - Yukio Hida
- Faculty of Medical Sciences, Department of Clinical Laboratories, University of Fukui, Fukui, Japan
| | - Hideki Kimura
- Faculty of Medical Sciences, Department of Clinical Laboratories, University of Fukui, Fukui, Japan
| | - Yoshihiro Soya
- Tsuruga Institute of Biotechnology, Toyobo Co., Ltd., Osaka, Japan
| | - Yasunari Nakamoto
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
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18
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Xiao X, Chang H, Li M. Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies. Mol Psychiatry 2017; 22:497-511. [PMID: 28044063 PMCID: PMC5378805 DOI: 10.1038/mp.2016.241] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 11/08/2016] [Accepted: 11/14/2016] [Indexed: 12/18/2022]
Abstract
Recent large-scale genetic approaches such as genome-wide association studies have allowed the identification of common genetic variations that contribute to risk architectures of psychiatric disorders. However, most of these susceptibility variants are located in noncoding genomic regions that usually span multiple genes. As a result, pinpointing the precise variant(s) and biological mechanisms accounting for the risk remains challenging. By reviewing recent progresses in genetics, functional genomics and neurobiology of psychiatric disorders, as well as gene expression analyses of brain tissues, here we propose a roadmap to characterize the roles of noncoding risk loci in the pathogenesis of psychiatric illnesses (that is, identifying the underlying molecular mechanisms explaining the genetic risk conferred by those genomic loci, and recognizing putative functional causative variants). This roadmap involves integration of transcriptomic data, epidemiological and bioinformatic methods, as well as in vitro and in vivo experimental approaches. These tools will promote the translation of genetic discoveries to physiological mechanisms, and ultimately guide the development of preventive, therapeutic and prognostic measures for psychiatric disorders.
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Affiliation(s)
- X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
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19
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Functional analysis of rare variants found in schizophrenia implicates a critical role for GIT1-PAK3 signaling in neuroplasticity. Mol Psychiatry 2017; 22:417-429. [PMID: 27457813 PMCID: PMC6186433 DOI: 10.1038/mp.2016.98] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 03/21/2016] [Accepted: 05/02/2016] [Indexed: 01/21/2023]
Abstract
Although the pathogenesis of schizophrenia (SCZ) is proposed to involve alterations of neural circuits via synaptic dysfunction, the underlying molecular mechanisms remain poorly understood. Recent exome sequencing studies of SCZ have uncovered numerous single-nucleotide variants (SNVs); however, the majority of these SNVs have unknown functional consequences, leaving their disease relevance uncertain. Filling this knowledge gap requires systematic application of quantitative and scalable assays to assess known and novel biological functions of genes. Here we demonstrate loss-of-function effects of multiple rare coding SNVs found in SCZ subjects in the GIT1 (G protein-coupled receptor kinase interacting ArfGAP 1) gene using functional cell-based assays involving coexpression of GIT1 and PAK3 (p21 protein (Cdc42/Rac)-activated kinase 3). Most notably, a GIT1-R283W variant reported in four independent SCZ cases was defective in activating PAK3 as well as MAPK (mitogen-activated protein kinase). Similar functional deficits were found for a de novo SCZ variant GIT1-S601N. Additional assays revealed deficits in the capacity of GIT1-R283W to stimulate PAK phosphorylation in cultured hippocampal neurons. In addition, GIT1-R283W showed deficits in the induction of GAD1 (glutamate decarboxylase 1) protein expression. Extending these functional assays to 10 additional rare GIT1 variants revealed the existence of an allelic series with the majority of the SCZ case variants exhibiting loss of function toward MAPK activation in a manner correlated with loss of PAK3 activation. Taken together, we propose that rare variants in GIT1, along with other genetic and environmental factors, cause dysregulation of PAK3 leading to synaptic deficits in SCZ.
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20
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Emerging Synaptic Molecules as Candidates in the Etiology of Neurological Disorders. Neural Plast 2017; 2017:8081758. [PMID: 28331639 PMCID: PMC5346360 DOI: 10.1155/2017/8081758] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 02/06/2017] [Indexed: 01/06/2023] Open
Abstract
Synapses are complex structures that allow communication between neurons in the central nervous system. Studies conducted in vertebrate and invertebrate models have contributed to the knowledge of the function of synaptic proteins. The functional synapse requires numerous protein complexes with specialized functions that are regulated in space and time to allow synaptic plasticity. However, their interplay during neuronal development, learning, and memory is poorly understood. Accumulating evidence links synapse proteins to neurodevelopmental, neuropsychiatric, and neurodegenerative diseases. In this review, we describe the way in which several proteins that participate in cell adhesion, scaffolding, exocytosis, and neurotransmitter reception from presynaptic and postsynaptic compartments, mainly from excitatory synapses, have been associated with several synaptopathies, and we relate their functions to the disease phenotype.
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21
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Chang H, Li L, Peng T, Grigoroiu-Serbanescu M, Bergen SE, Landén M, Hultman CM, Forstner AJ, Strohmaier J, Hecker J, Schulze TG, Müller-Myhsok B, Reif A, Mitchell PB, Martin NG, Cichon S, Nöthen MM, Jamain S, Leboyer M, Bellivier F, Etain B, Kahn JP, Henry C, Rietschel M, Xiao X, Li M. Identification of a Bipolar Disorder Vulnerable Gene CHDH at 3p21.1. Mol Neurobiol 2016; 54:5166-5176. [DOI: 10.1007/s12035-016-0041-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 08/05/2016] [Indexed: 10/21/2022]
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22
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Douglas LN, McGuire AB, Manzardo AM, Butler MG. High-resolution chromosome ideogram representation of recognized genes for bipolar disorder. Gene 2016; 586:136-47. [PMID: 27063557 PMCID: PMC6675571 DOI: 10.1016/j.gene.2016.04.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 03/21/2016] [Accepted: 04/04/2016] [Indexed: 12/28/2022]
Abstract
Bipolar disorder (BPD) is genetically heterogeneous with a growing list of BPD associated genes reported in recent years resulting from increased genetic testing using advanced genetic technology, expanded genomic databases, and better awareness of the disorder. We compiled a master list of recognized susceptibility and genes associated with BPD identified from peer-reviewed medical literature sources using PubMed and by searching online databases, such as OMIM. Searched keywords were related to bipolar disorder and genetics. Our compiled list consisted of 290 genes with gene names arranged in alphabetical order in tabular form with source documents and their chromosome location and gene symbols plotted on high-resolution human chromosome ideograms. The identified genes impacted a broad range of biological pathways and processes including cellular signaling pathways particularly cAMP and calcium (e.g., CACNA1C, CAMK2A, CAMK2D, ADCY1, ADCY2); glutamatergic (e.g., GRIK1, GRM3, GRM7), dopaminergic (e.g., DRD2, DRD4, COMT, MAOA) and serotonergic (e.g., HTR1A, HTR2A, HTR3B) neurotransmission; molecular transporters (e.g., SLC39A3, SLC6A3, SLC8A1); and neuronal growth (e.g., BDNF, IGFBP1, NRG1, NRG3). The increasing prevalence of BPD calls for better understanding of the genetic etiology of this disorder and associations between the observed BPD phenotype and genes. Visual representation of genes for bipolar disorder becomes a tool enabling clinical and laboratory geneticists, genetic counselors, and other health care providers and researchers easy access to the location and distribution of currently recognized BPD associated genes. Our study may also help inform diagnosis and advance treatment developments for those affected with this disorder and improve genetic counseling for families.
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Affiliation(s)
- Lindsay N Douglas
- Department of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Austen B McGuire
- Department of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Ann M Manzardo
- Department of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Merlin G Butler
- Department of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
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23
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Piccolo paralogs and orthologs display conserved patterns of alternative splicing within the C2A and C2B domains. Genes Genomics 2016. [DOI: 10.1007/s13258-015-0383-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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24
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Akula N, Wendland JR, Choi KH, McMahon FJ. An Integrative Genomic Study Implicates the Postsynaptic Density in the Pathogenesis of Bipolar Disorder. Neuropsychopharmacology 2016; 41. [PMID: 26211730 PMCID: PMC4707835 DOI: 10.1038/npp.2015.218] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Genome-wide association studies (GWAS) have identified several common variants associated with bipolar disorder (BD), but the biological meaning of these findings remains unclear. Integrative genomics-the integration of GWAS signals with gene expression data-may illuminate genes and gene networks that have key roles in the pathogenesis of BD. We applied weighted gene co-expression network analysis (WGCNA), which exploits patterns of co-expression among genes, to brain transcriptome data obtained by sequencing of poly-A RNA derived from postmortem dorsolateral prefrontal cortex from people with BD, along with age- and sex-matched controls. WGCNA identified 33 gene modules. Many of the modules corresponded closely to those previously reported in human cortex. Three modules were associated with BD, enriched for genes differentially expressed in BD, and also enriched for signals in prior GWAS of BD. Functional analysis of genes within these modules revealed significant enrichment of several functionally related sets of genes, especially those involved in the postsynaptic density (PSD). These results provide convergent support for the hypothesis that dysregulation of genes involved in the PSD is a key factor in the pathogenesis of BD. If replicated in larger samples, these findings could point toward new therapeutic targets for BD.
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Affiliation(s)
- Nirmala Akula
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program (NIMH-IRP), National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA,Human Genetics Branch, National Institute of Mental Health Intramural Research Program (NIMH-IRP), National Institutes of Health, US Department of Health and Human Services, Building 35, Room 1A-100, 35 Convent Drive, Bethesda, MD 20892, USA, Tel: +1 301 451 4258, Fax: +1 301 402 7094, E-mail:
| | - Jens R Wendland
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program (NIMH-IRP), National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Kwang H Choi
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Francis J McMahon
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program (NIMH-IRP), National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
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25
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Smoller JW. The Genetics of Stress-Related Disorders: PTSD, Depression, and Anxiety Disorders. Neuropsychopharmacology 2016; 41:297-319. [PMID: 26321314 PMCID: PMC4677147 DOI: 10.1038/npp.2015.266] [Citation(s) in RCA: 256] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Revised: 08/05/2015] [Accepted: 08/26/2015] [Indexed: 02/06/2023]
Abstract
Research into the causes of psychopathology has largely focused on two broad etiologic factors: genetic vulnerability and environmental stressors. An important role for familial/heritable factors in the etiology of a broad range of psychiatric disorders was established well before the modern era of genomic research. This review focuses on the genetic basis of three disorder categories-posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and the anxiety disorders-for which environmental stressors and stress responses are understood to be central to pathogenesis. Each of these disorders aggregates in families and is moderately heritable. More recently, molecular genetic approaches, including genome-wide studies of genetic variation, have been applied to identify specific risk variants. In this review, I summarize evidence for genetic contributions to PTSD, MDD, and the anxiety disorders including genetic epidemiology, the role of common genetic variation, the role of rare and structural variation, and the role of gene-environment interaction. Available data suggest that stress-related disorders are highly complex and polygenic and, despite substantial progress in other areas of psychiatric genetics, few risk loci have been identified for these disorders. Progress in this area will likely require analysis of much larger sample sizes than have been reported to date. The phenotypic complexity and genetic overlap among these disorders present further challenges. The review concludes with a discussion of prospects for clinical translation of genetic findings and future directions for research.
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Affiliation(s)
- Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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26
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O'Shea KS, McInnis MG. Neurodevelopmental origins of bipolar disorder: iPSC models. Mol Cell Neurosci 2015; 73:63-83. [PMID: 26608002 DOI: 10.1016/j.mcn.2015.11.006] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Revised: 10/14/2015] [Accepted: 11/18/2015] [Indexed: 12/22/2022] Open
Abstract
Bipolar disorder (BP) is a chronic neuropsychiatric condition characterized by pathological fluctuations in mood from mania to depression. Adoption, twin and family studies have consistently identified a significant hereditary component to BP, yet there is no clear genetic event or consistent neuropathology. BP has been suggested to have a developmental origin, although this hypothesis has been difficult to test since there are no viable neurons or glial cells to analyze, and research has relied largely on postmortem brain, behavioral and imaging studies, or has examined proxy tissues including saliva, olfactory epithelium and blood cells. Neurodevelopmental factors, particularly pathways related to nervous system development, cell migration, extracellular matrix, H3K4 methylation, and calcium signaling have been identified in large gene expression and GWAS studies as altered in BP. Recent advances in stem cell biology, particularly the ability to reprogram adult somatic tissues to a pluripotent state, now make it possible to interrogate these pathways in viable cell models. A number of induced pluripotent stem cell (iPSC) lines from BP patient and healthy control (C) individuals have been derived in several laboratories, and their ability to form cortical neurons examined. Early studies suggest differences in activity, calcium signaling, blocks to neuronal differentiation, and changes in neuronal, and possibly glial, lineage specification. Initial observations suggest that differentiation of BP patient-derived neurons to dorsal telencephalic derivatives may be impaired, possibly due to alterations in WNT, Hedgehog or Nodal pathway signaling. These investigations strongly support a developmental contribution to BP and identify novel pathways, mechanisms and opportunities for improved treatments.
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Affiliation(s)
- K Sue O'Shea
- Department of Cell and Developmental Biology, University of Michigan, 3051 BSRB, 109 Zina Pitcher PL, Ann Arbor, MI 48109-2200, United States; Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109-5765, United States.
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109-5765, United States
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Bruckner JJ, Zhan H, O'Connor-Giles KM. Advances in imaging ultrastructure yield new insights into presynaptic biology. Front Cell Neurosci 2015; 9:196. [PMID: 26052269 PMCID: PMC4440913 DOI: 10.3389/fncel.2015.00196] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 05/05/2015] [Indexed: 11/13/2022] Open
Abstract
Synapses are the fundamental functional units of neural circuits, and their dysregulation has been implicated in diverse neurological disorders. At presynaptic terminals, neurotransmitter-filled synaptic vesicles are released in response to calcium influx through voltage-gated calcium channels activated by the arrival of an action potential. Decades of electrophysiological, biochemical, and genetic studies have contributed to a growing understanding of presynaptic biology. Imaging studies are yielding new insights into how synapses are organized to carry out their critical functions. The development of techniques for rapid immobilization and preservation of neuronal tissues for electron microscopy (EM) has led to a new renaissance in ultrastructural imaging that is rapidly advancing our understanding of synapse structure and function.
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Affiliation(s)
- Joseph J Bruckner
- Cell and Molecular Biology Training Program, University of Wisconsin-Madison Madison, WI, USA
| | - Hong Zhan
- Laboratory of Cell and Molecular Biology, University of Wisconsin-Madison Madison, WI, USA
| | - Kate M O'Connor-Giles
- Cell and Molecular Biology Training Program, University of Wisconsin-Madison Madison, WI, USA ; Laboratory of Cell and Molecular Biology, University of Wisconsin-Madison Madison, WI, USA ; Laboratory of Genetics, University of Wisconsin-Madison Madison, WI, USA
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28
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Li M, Luo XJ, Rietschel M, Lewis CM, Mattheisen M, Müller-Myhsok B, Jamain S, Leboyer M, Landén M, Thompson PM, Cichon S, Nöthen MM, Schulze TG, Sullivan PF, Bergen SE, Donohoe G, Morris DW, Hargreaves A, Gill M, Corvin A, Hultman C, Toga AW, Shi L, Lin Q, Shi H, Gan L, Meyer-Lindenberg A, Czamara D, Henry C, Etain B, Bis JC, Ikram MA, Fornage M, Debette S, Launer LJ, Seshadri S, Erk S, Walter H, Heinz A, Bellivier F, Stein JL, Medland SE, Arias Vasquez A, Hibar DP, Franke B, Martin NG, Wright MJ, Su B. Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility. Mol Psychiatry 2014; 19:452-61. [PMID: 23568192 PMCID: PMC3937299 DOI: 10.1038/mp.2013.37] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Revised: 01/28/2013] [Accepted: 03/06/2013] [Indexed: 02/07/2023]
Abstract
Bipolar disorder (BD) is a polygenic disorder that shares substantial genetic risk factors with major depressive disorder (MDD). Genetic analyses have reported numerous BD susceptibility genes, while some variants, such as single-nucleotide polymorphisms (SNPs) in CACNA1C have been successfully replicated, many others have not and subsequently their effects on the intermediate phenotypes cannot be verified. Here, we studied the MDD-related gene CREB1 in a set of independent BD sample groups of European ancestry (a total of 64,888 subjects) and identified multiple SNPs significantly associated with BD (the most significant being SNP rs6785[A], P=6.32 × 10(-5), odds ratio (OR)=1.090). Risk SNPs were then subjected to further analyses in healthy Europeans for intermediate phenotypes of BD, including hippocampal volume, hippocampal function and cognitive performance. Our results showed that the risk SNPs were significantly associated with hippocampal volume and hippocampal function, with the risk alleles showing a decreased hippocampal volume and diminished activation of the left hippocampus, adding further evidence for their involvement in BD susceptibility. We also found the risk SNPs were strongly associated with CREB1 expression in lymphoblastoid cells (P<0.005) and the prefrontal cortex (P<1.0 × 10(-6)). Remarkably, population genetic analysis indicated that CREB1 displayed striking differences in allele frequencies between continental populations, and the risk alleles were completely absent in East Asian populations. We demonstrated that the regional prevalence of the CREB1 risk alleles in Europeans is likely caused by genetic hitchhiking due to natural selection acting on a nearby gene. Our results suggest that differential population histories due to natural selection on regional populations may lead to genetic heterogeneity of susceptibility to complex diseases, such as BD, and explain inconsistencies in detecting the genetic markers of these diseases among different ethnic populations.
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Affiliation(s)
- M Li
- 1] State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China [2] University of Chinese Academy of Sciences, Beijing, China
| | - X-J Luo
- University of Rochester Flaum Eye Institute, University of Rochester, Rochester, NY, USA
| | - M Rietschel
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C M Lewis
- MRC SGDP Centre, Institute of Psychiatry, King's College London, London, UK
| | - M Mattheisen
- Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - S Jamain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France
| | - M Leboyer
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - M Landén
- 1] Section of Psychiatry and Neurochemistry, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden [2] Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - P M Thompson
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S Cichon
- 1] Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany [2] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M M Nöthen
- 1] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany [2] German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - T G Schulze
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Section on Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Göttingen, Germany
| | - P F Sullivan
- Departments of Genetics, Psychiatry and Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S E Bergen
- 1] Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA [2] Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - G Donohoe
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - D W Morris
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Hargreaves
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - M Gill
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Corvin
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - C Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - A W Toga
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - L Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Q Lin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - H Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - L Gan
- University of Chinese Academy of Sciences, Beijing, China
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - D Czamara
- Max Planck Institute of Psychiatry, Munich, Germany
| | - C Henry
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - B Etain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - M A Ikram
- 1] Department of Radiology and Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands [2] The Netherlands Consortium of Healthy Aging, Leiden, The Netherlands
| | - M Fornage
- Brown Foundation Institute of Molecular Medicine and Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - S Debette
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] Institut National de la Santé et de la Recherche Médicale (INSERM), U708, Neuroepidemiology, Paris, France [3] Department of Epidemiology, University of Versailles Saint-Quentin-en-Yvelines, Paris, France
| | - L J Launer
- Laboratory of Neurogenetics, Intramural Research Program, National Institute of Aging, NIH, Bethesda, MD, USA
| | - S Seshadri
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] The National, Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - S Erk
- 1] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [2] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- 1] Department of Psychiatry, University of Bonn, Bonn, Germany [2] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [3] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - A Heinz
- Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - F Bellivier
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] AP-HP, Hôpital St-Louis-Lariboisière-F Widal, Service Universitaire de Psychiatrie, Paris, France [4] Faculté de Médecine, Université Denis Diderot, Paris, France
| | - J L Stein
- 1] Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA [2] Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S E Medland
- 1] Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [2] Quantitative Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [3] Broad Institute of Harvard and MIT, Boston, MA, USA
| | - A Arias Vasquez
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - B Franke
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - N G Martin
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M J Wright
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - B Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
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Weng X, Zhou D, Liu F, Zhang H, Ye J, Zhang Z, Zhang D, Wang Y, Tao L, Cao L, Kan M, Wang T, Feng G, Qin X, Sun J, He L, Liu Y. DNA methylation profiling in the thalamus and hippocampus of postnatal malnourished mice, including effects related to long-term potentiation. BMC Neurosci 2014; 15:31. [PMID: 24555847 PMCID: PMC3941971 DOI: 10.1186/1471-2202-15-31] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2013] [Accepted: 02/11/2014] [Indexed: 02/06/2023] Open
Abstract
Background DNA methylation has been viewed as the most highly characterized epigenetic mark for genome regulation and development. Postnatal brains appear to exhibit stimulus-induced methylation changes because of factors such as environment, lifestyle, and diet (nutrition). The purpose of this study was to examine how extensively the brain DNA methylome is regulated by nutrition in early life. Results By quantifying the total amount of 5-methylcytosine (5mC) in the thalamus and the hippocampus of postnatal malnourished mice and normal mice, we found the two regions showed differences in global DNA methylation status. The methylation level in the thalamus was much higher than that in the hippocampus. Then, we used a next-generation sequencing (NGS)-based method (MSCC) to detect the whole genome methylation of the two regions in malnourished mice and normal mice. Notably, we found that in the thalamus, 500 discriminable variations existed and that approximately 60% were related to neuronal development or psychiatric diseases. Pathway analyses of the corresponding genes highlighted changes for 9 genes related to long-term potentiation (5.3-fold enrichment, P = 0.033). Conclusions Our findings may help to indicate the genome-wide DNA methylation status of different brain regions and the effects of malnutrition on brain DNA methylation. The results also indicate that postnatal malnutrition may increase the risk of psychiatric disorders.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lin He
- Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China.
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Seo S, Takayama K, Uno K, Ohi K, Hashimoto R, Nishizawa D, Ikeda K, Ozaki N, Nabeshima T, Miyamoto Y, Nitta A. Functional analysis of deep intronic SNP rs13438494 in intron 24 of PCLO gene. PLoS One 2013; 8:e76960. [PMID: 24167553 PMCID: PMC3805565 DOI: 10.1371/journal.pone.0076960] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2013] [Accepted: 08/29/2013] [Indexed: 11/28/2022] Open
Abstract
The single nucleotide polymorphism (SNP) rs13438494 in intron 24 of PCLO was significantly associated with bipolar disorder in a meta-analysis of genome-wide association studies. In this study, we performed functional minigene analysis and bioinformatics prediction of splicing regulatory sequences to characterize the deep intronic SNP rs13438494. We constructed minigenes with A and C alleles containing exon 24, intron 24, and exon 25 of PCLO to assess the genetic effect of rs13438494 on splicing. We found that the C allele of rs13438494 reduces the splicing efficiency of the PCLO minigene. In addition, prediction analysis of enhancer/silencer motifs using the Human Splice Finder web tool indicated that rs13438494 induces the abrogation or creation of such binding sites. Our results indicate that rs13438494 alters splicing efficiency by creating or disrupting a splicing motif, which functions by binding of splicing regulatory proteins, and may ultimately result in bipolar disorder in affected people.
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Affiliation(s)
- Seunghee Seo
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- Department of Pharmaceutical Education, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Kanako Takayama
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Kyosuke Uno
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Daisuke Nishizawa
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kazutaka Ikeda
- Addictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Norio Ozaki
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Toshitaka Nabeshima
- Department of Regional Pharmaceutical Care and Science, Meijo University, Nagoya, Japan
| | - Yoshiaki Miyamoto
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Atsumi Nitta
- Department of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
- * E-mail:
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Mazzaschi RL, Ashton F, Aftimos S, George AM, Love DR. Implications of a Chr7q21.11 Microdeletion and the Role of the PCLO Gene in Developmental Delay. Sultan Qaboos Univ Med J 2013; 13:306-10. [PMID: 23862039 DOI: 10.12816/0003239] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2012] [Revised: 07/06/2012] [Accepted: 09/25/2012] [Indexed: 11/27/2022] Open
Abstract
We report here a 4-year-old boy with global developmental delay who was referred for karyotyping and fragile X studies. A small interstitial deletion on chromosome 7 at band 7q21 was detected in all cells examined. Subsequent molecular karyotype analysis gave the more detailed result of a 6.3 Mb heterozygous deletion involving the interstitial chromosome region 7q21.11. In this relatively gene-poor region, the presynaptic cytomatrix protein, Piccolo (PCLO) gene appears to be the most likely candidate for copy number loss leading to a clinical phenotype. G-banded chromosome analysis of the parents showed this deletion was inherited from the father. Molecular karyotype analysis of the father's genome confirmed that it was the same deletion as that seen in the son; however, the father did not share the severity of his son's phenotype. This cytogenetically-visible deletion may represent another example of a chromosomal rearrangement conferring a variable phenotype on different family members.
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Abstract
Genome-wide association studies (GWAS) have identified a number of loci that have strong support for their association with bipolar disorder (BD). The Psychiatric Genome-Wide Association Study (GWAS) Consortium Bipolar Disorder Working Group (PGC-BD) meta-analysis of BD GWAS data sets and replication samples identified evidence (P=6.7 × 10⁻⁷, odds ratio (OR)=1.147) of association with the risk of BD at the polymorphism rs9371601 within SYNE1, a gene which encodes nesprin-1. Here we have tested this polymorphism in an independent BD case (n=1527) and control (n=1579) samples, and find evidence for association (P=0.0095) with similar effect sizes to those previously observed in BD (allelic OR=1.148). In a combined (meta) analysis of PGC-BD data (both primary and replication data) and our independent BD samples, we found genome-wide significant evidence for association (P=2.9 × 10⁻⁸, OR=1.104). We have also examined the polymorphism in our recurrent unipolar depression cases (n=1159) and control (n=2592) sample, and found that the risk allele was associated with risk for recurrent major depression (P=0.032, OR=1.118). Our findings add to the evidence that association at this locus influences susceptibility to bipolar and unipolar mood disorders.
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Modulatory effects of the piccolo genotype on emotional memory in health and depression. PLoS One 2013; 8:e61494. [PMID: 23620758 PMCID: PMC3631241 DOI: 10.1371/journal.pone.0061494] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Accepted: 03/10/2013] [Indexed: 12/04/2022] Open
Abstract
Major depressive disorder (MDD) has been associated with biased memory formation for mood-congruent information, which may be related to altered monoamine levels. The piccolo (PCLO) gene, involved in monoaminergic neurotransmission, has previously been linked to depression in a genome-wide association study. Here, we investigated the role of the PCLO risk allele on functional magnetic resonance imaging (MRI) correlates of emotional memory in a sample of 89 MDD patients (64 PCLO risk allele carriers) and 29 healthy controls (18 PCLO risk allele carriers). During negative word encoding, risk allele carriers showed significant lower activity relative to non-risk allele carriers in the insula, and trend-wise in the anterior cingulate cortex and inferior frontal gyrus. Moreover, depressed risk allele carriers showed significant lower activity relative to non-risk allele carriers in the striatum, an effect which was absent in healthy controls. Finally, amygdalar response during processing new positive words vs. known words was blunted in healthy PCLO+ carriers and in MDD patients irrespective of genotype, which may indicate that signalling of salient novel information does not occur to the same extent in PCLO+ carriers and MDD patients. The PCLO risk allele may increase vulnerability for MDD by modulating local brain function with regard to responsiveness to salient stimuli (i.e. insula) and processing novel negative information. Also, depression-specific effects of PCLO on dorsal striatal activation during negative word encoding and the absence of amygdalar salience signalling for novel positive information further suggest a role of PCLO in symptom maintenance in MDD.
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Chen H, Wang N, Zhao X, Ross CA, O’Shea KS, McInnis MG. Gene expression alterations in bipolar disorder postmortem brains. Bipolar Disord 2013; 15:177-87. [PMID: 23360497 PMCID: PMC3582727 DOI: 10.1111/bdi.12039] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is a mental illness of unknown neuropathology and has several genetic associations. Antipsychotics are effective for the treatment of acute mania, psychosis, or mixed states in individuals with BD. We aimed to identify gene transcripts differentially expressed in postmortem brains from antipsychotics-exposed individuals with BD (hereafter the 'exposed' group), non-exposed individuals with BD (hereafter the 'non-exposed' group), and controls. METHODS We quantified the abundance of gene transcripts in postmortem brains from seven exposed individuals, seven non-exposed individuals, and 12 controls with the Affymetrix U133P2 GeneChip microarrays and technologies. We applied a q-value of ≤0.005 to identify statistically significant transcripts with mean abundance differences between the exposed, non-exposed and control groups. RESULTS We identified 2191 unique genes with significantly altered expression levels in non-exposed brains compared to those in the control and exposed groups. The expression levels of these genes were not significantly different between exposed brains and controls, suggesting a normalization effect of antipsychotics on the expression of these genes. Gene ontology (GO) enrichment analysis showed significant (Bonferroni p ≤ 0.05) clustering of subgroups of the 2191 genes under many GO terms; notably, the protein products of genes enriched are critical to the function of synapses, affecting, for example, intracellular trafficking and synaptic vesicle biogenesis, transport, release and recycling, as well as organization and stabilization of the node of Ranvier. CONCLUSIONS These results support a hypothesis of synaptic and intercellular communication impairment in BD. The apparent normalization of expression patterns with exposure to antipsychotic medication may represent a physiological process that relates both to etiology and improvement patterns of the disorder.
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Affiliation(s)
- Haiming Chen
- Department of Psychiatry and Comprehensive Depression Center, University of Michigan Medical School, Ann Arbor, MI
| | - Nulang Wang
- Molecular and Behavioral Neuroscience Institute, University of Michigan Medical School, Ann Arbor, MI
| | - Xin Zhao
- Molecular and Behavioral Neuroscience Institute, University of Michigan Medical School, Ann Arbor, MI
| | - Christopher A Ross
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD
| | - K Sue O’Shea
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, USA
| | - Melvin G McInnis
- Department of Psychiatry and Comprehensive Depression Center, University of Michigan Medical School, Ann Arbor, MI
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Abstract
Numerous studies have examined gene expression profiles in post-mortem human brain samples from individuals with schizophrenia compared with healthy controls, to gain insight into the molecular mechanisms of the disease. Although some findings have been replicated across studies, there is a general lack of consensus on which genes or pathways are affected. It has been unclear if these differences are due to the underlying cohorts or methodological considerations. Here, we present the most comprehensive analysis to date of expression patterns in the prefrontal cortex of schizophrenic, compared with unaffected controls. Using data from seven independent studies, we assembled a data set of 153 affected and 153 control individuals. Remarkably, we identified expression differences in the brains of schizophrenics that are validated by up to seven laboratories using independent cohorts. Our combined analysis revealed a signature of 39 probes that are upregulated in schizophrenia and 86 that are downregulated. Some of these genes were previously identified in studies that were not included in our analysis, while others are novel to our analysis. In particular, we observe gene expression changes associated with various aspects of neuronal communication and alterations of processes affected as a consequence of changes in synaptic functioning. A gene network analysis predicted previously unidentified functional relationships among the signature genes. Our results provide evidence for a common underlying expression signature in this heterogeneous disorder.
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Affiliation(s)
- Meeta Mistry
- Graduate Program in Bioinformatics, University of British Columbia, British Columbia, Canada
| | - Jesse Gillis
- Department of Psychiatry, University of British Columbia, British Columbia, Canada
| | - Paul Pavlidis
- Department of Psychiatry, University of British Columbia, British Columbia, Canada,Centre for High-throughput Biology, University of British Columbia, British Columbia, Canada
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Scola G, Kim HK, Young LT, Andreazza AC. A fresh look at complex I in microarray data: clues to understanding disease-specific mitochondrial alterations in bipolar disorder. Biol Psychiatry 2013; 73:e4-5. [PMID: 22846438 DOI: 10.1016/j.biopsych.2012.06.028] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2012] [Accepted: 06/26/2012] [Indexed: 12/28/2022]
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Choi KH, Le T, McGuire J, Coyner J, Higgs BW, Diglisic S, Johnson LR, Benedek DM, Ursano RJ. Expression profiles of mitochondrial genes in the frontal cortex and the caudate nucleus of developing humans and mice selectively bred for high and low fear. PLoS One 2012; 7:e49183. [PMID: 23152871 PMCID: PMC3496717 DOI: 10.1371/journal.pone.0049183] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2012] [Accepted: 10/04/2012] [Indexed: 12/22/2022] Open
Abstract
A growing body of evidence suggests that mitochondrial function may be important in brain development and psychiatric disorders. However, detailed expression profiles of those genes in human brain development and fear-related behavior remain unclear. Using microarray data available from the public domain and the Gene Ontology analysis, we identified the genes and the functional categories associated with chronological age in the prefrontal cortex (PFC) and the caudate nucleus (CN) of psychiatrically normal humans ranging in age from birth to 50 years. Among those, we found that a substantial number of genes in the PFC (115) and the CN (117) are associated with the GO term: mitochondrion (FDR qv <0.05). A greater number of the genes in the PFC (91%) than the genes in the CN (62%) showed a linear increase in expression during postnatal development. Using quantitative PCR, we validated the developmental expression pattern of four genes including monoamine oxidase B (MAOB), NADH dehydrogenase flavoprotein (NDUFV1), mitochondrial uncoupling protein 5 (SLC25A14) and tubulin beta-3 chain (TUBB3). In mice, overall developmental expression pattern of MAOB, SLC25A14 and TUBB3 in the PFC were comparable to the pattern observed in humans (p<0.05). However, mice selectively bred for high fear did not exhibit normal developmental changes of MAOB and TUBB3. These findings suggest that the genes associated with mitochondrial function in the PFC play a significant role in brain development and fear-related behavior.
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Affiliation(s)
- Kwang H Choi
- Department of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
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Minelli A, Scassellati C, Cloninger CR, Tessari E, Bortolomasi M, Bonvicini C, Giacopuzzi M, Frisoni GB, Gennarelli M. PCLO gene: its role in vulnerability to major depressive disorder. J Affect Disord 2012; 139:250-5. [PMID: 22386049 DOI: 10.1016/j.jad.2012.01.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2011] [Revised: 01/24/2012] [Accepted: 01/24/2012] [Indexed: 01/20/2023]
Abstract
BACKGROUND A recent genome-wide association study on Major Depressive Disorder (MDD) identified a specific association with a non-synonymous polymorphism (rs2522833) of a gene encoding the presynaptic protein piccolo (PCLO). A high percentage of patients who develop MDD have particular temperamental traits, such as passivity, pessimism, indecisiveness, and low self-esteem, which are related to the subsequent development of depression. The aims of this study were to perform a replicate case-control study and to conduct the first association study between the rs2522833 polymorphism and depression-related personality traits using the Temperament and Character Inventory (TCI) in a healthy subject sample. METHODS A total of 522 MDD patients and 375 healthy volunteers were enrolled in the study. Two hundred and forty-six controls agreed to fill out the TCI. RESULTS The results showed that rs2522833 CC homozygotes were more frequent among the depressed patients than in the controls (p<0.01). The C allele distribution showed a trend in the same direction (p=0.08). Among controls, we found that the C allele carriers were associated with personality traits increasing vulnerability to depression, including higher Harm Avoidance (HA) and lower in Novelty Seeking (NS). In particular, C allele carriers were more fearful (HA2) and fatigable (HA4), and less impulsive/more deliberate (NS2) and less extravagant/more frugal (NS3). LIMITATIONS The absence of possible epistatic interaction effect. CONCLUSIONS These results provide further support for the involvement of the PCLO gene in MDD and show that this effect may be mediated by influencing personality traits that increase the risk of major depression.
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Affiliation(s)
- Alessandra Minelli
- Department of Biomedical Sciences and Biotechnologies, Biology and Genetic Division, Brescia University School of Medicine, Brescia, Italy.
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Choi K, Le T, McGuire J, Xing G, Zhang L, Li H, Parker CC, Johnson LR, Ursano RJ. Expression pattern of the cannabinoid receptor genes in the frontal cortex of mood disorder patients and mice selectively bred for high and low fear. J Psychiatr Res 2012; 46:882-9. [PMID: 22534181 DOI: 10.1016/j.jpsychires.2012.03.021] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2012] [Revised: 03/30/2012] [Accepted: 03/30/2012] [Indexed: 12/14/2022]
Abstract
Although the endocannabinoid system (ECS) has been implicated in brain development and various psychiatric disorders, precise mechanisms of the ECS on mood and anxiety disorders remain unclear. Here, we have investigated developmental and disease-related expression pattern of the cannabinoid receptor 1 (CB1) and the cannabinoid receptor 2 (CB2) genes in the dorsolateral prefrontal cortex (PFC) of humans. Using mice selectively bred for high and low fear, we further investigated potential association between fear memory and the cannabinoid receptor expression in the brain. The CB1, not the CB2, mRNA levels in the PFC gradually decrease during postnatal development ranging in age from birth to 50 years (r2 > 0.6 & adj. p < 0.05). The CB1 levels in the PFC of major depression patients were higher when compared to the age-matched controls (adj. p < 0.05). In mice, the CB1, not the CB2, levels in the PFC were positively correlated with freezing behavior in classical fear conditioning (p < 0.05). These results suggest that the CB1 in the PFC may play a significant role in regulating mood and anxiety symptoms. Our study demonstrates the advantage of utilizing data from postmortem brain tissue and a mouse model of fear to enhance our understanding of the role of the cannabinoid receptors in mood and anxiety disorders.
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Affiliation(s)
- Kwang Choi
- Center for the Study of Traumatic Stress, Dept. of Psychiatry, Uniformed Services University of Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA.
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de Souza MBR, de Oliveira JRM. Searching for new genetic variations in expression databases for the GABAergic and glutamatergic systems. J Mol Neurosci 2012; 48:257-64. [PMID: 22528461 DOI: 10.1007/s12031-012-9771-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2011] [Accepted: 04/08/2012] [Indexed: 11/25/2022]
Abstract
Changes in gene expression and genetic variations in coding regions have likely functional impact, potentially associated with complex diseases, such as neuropsychiatric conditions. A current need for high throughput analysis of genomic data is leading to the development and improvement of sophisticated bioinformatics approaches, which allows the processing of large amounts of sequence and gene expression data. In this study, we identified new potential genetic variations prioritizing genes related to glutamatergic and GABAergic systems, using different bioinformatics resources. The CLCbio Workbench Combined platform was initially used to build expressed sequence tags and mRNA files retrieved, respectively, from the Goldenpath and National Center for Biotechnology Information databases and latter to perform multiple batches of Smith-Waterman alignments. The PMUT software was used to increase an accurate association between potential variations and pathogenic predictions. The annotation revealed various classes of variations and most of them are deletions ranging from 1 to 7 bp. Bioinformatic pipelines seem to be useful approaches to help screening for genetic variations with potential impact in gene expression. Further analysis will foster this aim to provide celerity at the massive analysis of data currently generated in large scale high throughput experiments.
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Abstract
As shown by clinical genetic studies, affective and anxiety disorders are complex genetic disorders with genetic and environmental factors interactively determining their respective pathomechanism. Advances in molecular genetic techniques including linkage studies, association studies, and genome-wide association studies allow for the detailed dissection of the genetic influence on the development of these disorders. Besides the molecular genetic investigation of categorical entities according to standardized diagnostic criteria, intermediate phenotypes comprising neurobiological or neuropsychological traits (e.g., neuronal correlates of emotional processing) that are linked to the disease of interest and that are heritable, have been proposed to be closer to the underlying genotype than the overall disease phenotype. These intermediate phenotypes are dimensional and more precisely defined than the categorical disease phenotype, and therefore have attracted much interest in the genetic investigation of affective and anxiety disorders. Given the complex genetic nature of affective and anxiety disorders with an interaction of multiple risk genes and environmental influences, the interplay of genetic factors with environmental factors is investigated by means of gene-environment interaction (GxE) studies. Pharmacogenetic studies aid in the dissection of the genetically influenced heterogeneity of psychotropic drug response and may contribute to the development of a more individualized treatment of affective and anxiety disorders. Finally, there is some evidence for genetic factors potentially shared between affective and anxiety disorders pointing to a possible overlapping phenotype between anxiety disorders and depression.
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Affiliation(s)
- Katharina Domschke
- Department of Psychiatry, University of Würzburg, Füchsleinstrasse 15, D-97080, Würzburg, Germany,
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Figueiredo TC, de Oliveira JRM. Reconsidering the association between the major histocompatibility complex and bipolar disorder. J Mol Neurosci 2011; 47:26-30. [PMID: 21987052 DOI: 10.1007/s12031-011-9656-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2011] [Accepted: 09/20/2011] [Indexed: 12/18/2022]
Abstract
Bipolar disorder (BD) is a cyclical and chronic affective disorder, globally recognized as an important public health problem and characterized by mood changes with recurring phases such as mania and depression. It is considered a complex disease, depending on the interaction of genetic and environmental triggers (stressors factors), but with a poorly known pathogenesis. Recent studies have implicated immune factors in the pathogenesis of BD and more particularly associated with different human major histocompatibility complex (MHC) regions. A major consortium study have recently linked BD to hundreds of variations with stronger associations in the MHC region, such as the rs3130297 SNP, located in the NOTCH4 gene, with an additional overlapping association with schizophrenia. This short review focuses on studies that investigated the association between bipolar disorder and the MHC, and the involvement of the immune system in the pathogenesis of the disease, in order to provide further information for additional diagnostic and therapeutic strategies. Fully understanding the etiology and pathophysiology of BD is extremely important to define new approaches for intervention and prevention, maybe through the modulation of the immune system.
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Abstract
Recent genetic studies showed evidence for a role of the single-nucleotide polymorphism rs2522833 within the PCLO gene in the etiology of major depression, and rs2522833 has been shown to modulate hypothalamic pituitary adrenal (HPA) axis activity during antidepressant treatment. Monoaminergic modulation of the HPA system may be one possible pathomechanism by which PCLO exerts its effect on depression. In the present study, we investigated the effect of rs2522833 on the cortisol awakening response (CAR) in healthy young adults. A total of 66 healthy volunteers from the community (36 men and 30 women) aged 18-25 years without individual or family history of affective disorders and schizophrenia collected saliva cortisol samples at 0, 30, 45 and 60 min after awakening on two consecutive working days. We identified a blunted CAR (AUCinc) in rs2522833 risk-allele (C) carriers, possibly indicating exhausted regulatory mechanisms underlying the HPA system. We also identified higher neuroticism scores in rs2522833 risk-allele carriers but no phenotypic correlation between the CAR (AUCinc) and neuroticism. These findings suggest that the rs2522833 risk variant might increase vulnerability to depression both by physiological and behavioral pathways, which appear, however, not to be substantially overlapped. Replication with larger samples is warranted.
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Genetic determinants of plasma von Willebrand factor antigen levels: a target gene SNP and haplotype analysis of ARIC cohort. Blood 2011; 117:5224-30. [PMID: 21343614 DOI: 10.1182/blood-2010-08-300152] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
von Willebrand factor (VWF) is an essential component of hemostasis and has been implicated in thrombosis. Multimer size and the amount of circulating VWF are known to impact hemostatic function. We associated 78 VWF single nucleotide polymorphisms (SNPs) and haplotypes constructed from those SNPs with VWF antigen level in 7856 subjects of European descent. Among the nongenomic factors, age and body mass index contributed 4.8% and 1.6% of VWF variation, respectively. The SNP rs514659 (tags O blood type) contributed 15.4% of the variance. Among the VWF SNPs, we identified 18 SNPs that are associated with levels of VWF. The correlative SNPs are either intronic (89%) or silent exonic (11%). Although SNPs examined are distributed throughout the entire VWF gene without apparent cluster, all the positive SNPs are located in a 50-kb region. Exons in this region encode for VWF D2, D', and D3 domains that are known to regulate VWF multimerization and storage. Mutations in the D3 domain are also associated with von Willebrand disease. Fifteen of these 18 correlative SNPs are in 2 distinct haplotype blocks. In summary, we identified a cluster of intronic VWF SNPs that associate with plasma levels of VWF, individually or additively, in a large cohort of healthy subjects.
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Kleinman JE. Genetic variation in PCLO is associated with prefrontal cortex expression and bipolar disorder. Biol Psychiatry 2011; 69:298. [PMID: 21272735 DOI: 10.1016/j.biopsych.2010.12.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2010] [Accepted: 12/11/2010] [Indexed: 01/15/2023]
Affiliation(s)
- Joel E Kleinman
- Section on Neuropathology, Clinical Brain Disorders Branch, Genes, Cognition and Psychosis Program, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA.
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