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Torii K, Ohi K, Fujikane D, Takai K, Kuramitsu A, Muto Y, Sugiyama S, Shioiri T. Tissue-specific gene expression of genome-wide significant loci associated with major depressive disorder subtypes. Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111019. [PMID: 38663672 DOI: 10.1016/j.pnpbp.2024.111019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
Major depressive disorder (MDD) is a clinically and genetically heterogeneous disorder. To reduce heterogeneity, large-scale genome-wide association studies have recently identified genome-wide significant loci associated with seven MDD subtypes. However, it was unclear in which tissues the genes near those loci are specifically expressed. We investigated whether genes related to specific MDD subtypes would be preferably expressed in a specific tissue. At 14 novel subtype-specific loci related to seven MDD subtypes-(1) non-atypical-like features MDD, (2) early-onset MDD, (3) recurrent MDD, (4) MDD with suicidal thoughts, (5) MDD without suicidal thoughts, (6) MDD with moderate impairment, and (7) postpartum depression, we investigated whether 22 genome-wide significant genetic variant-mapped genes were tissue-specifically expressed in brain, female reproductive, male specific, cardiovascular, gastrointestinal, or urinary tissues in the Genotype-Tissue Expression (GTEx) subjects (n ≤ 948). To confirm the tissue-specific expression in the GTEx, we used independent Human Protein Atlas (HPA) RNA-seq subjects (n ≤ 95). Of 22 genes, nine and five genes were tissue-specifically expressed in brain and female reproductive tissues, respectively (p < 2.27 × 10-3). RTN1, ERBB4, and AMIGO1 related to early-onset MDD, recurrent MDD, or MDD with suicidal thoughts were highly expressed in brain tissues (d = 1.19-2.71), while OAS1, LRRC9, DHRS7, PSMA5, SYPL2, and GULP1 related to non-atypical-like features MDD, early-onset MDD, MDD with suicidal thoughts, or postpartum depression were expressed at low levels in brain tissues (d = -0.17--1.48). DFNA5, CTBP2, PCNX4, SDCCAG8, and GULP1, which are related to early-onset MDD, MDD with moderate impairment, or postpartum depression, were highly expressed in female reproductive tissues (d = 0.80-2.08). Brain and female reproductive tissue-specific expression was confirmed in the HPA RNA-seq subjects. Our findings suggest that brain and female reproductive tissue-specific expression might contribute to the pathogenesis of MDD subtypes.
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Affiliation(s)
- Kaai Torii
- School of Medicine, Gifu University, Gifu, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan; Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.
| | - Daisuke Fujikane
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kentaro Takai
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Ayumi Kuramitsu
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Toshiki Shioiri
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
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Saleki K, Alijanizadeh P, Javanmehr N, Rezaei N. The role of Toll-like receptors in neuropsychiatric disorders: Immunopathology, treatment, and management. Med Res Rev 2024; 44:1267-1325. [PMID: 38226452 DOI: 10.1002/med.22012] [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: 04/08/2022] [Revised: 10/20/2023] [Accepted: 12/20/2023] [Indexed: 01/17/2024]
Abstract
Neuropsychiatric disorders denote a broad range of illnesses involving neurology and psychiatry. These disorders include depressive disorders, anxiety, schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorders, headaches, and epilepsy. In addition to their main neuropathology that lies in the central nervous system (CNS), lately, studies have highlighted the role of immunity and neuroinflammation in neuropsychiatric disorders. Toll-like receptors (TLRs) are innate receptors that act as a bridge between the innate and adaptive immune systems via adaptor proteins (e.g., MYD88) and downstream elements; TLRs are classified into 13 families that are involved in normal function and illnesses of the CNS. TLRs expression affects the course of neuropsychiatric disorders, and is influenced during their pharmacotherapy; For example, the expression of multiple TLRs is normalized during the major depressive disorder pharmacotherapy. Here, the role of TLRs in neuroimmunology, treatment, and management of neuropsychiatric disorders is discussed. We recommend longitudinal studies to comparatively assess the cell-type-specific expression of TLRs during treatment, illness progression, and remission. Also, further research should explore molecular insights into TLRs regulation and related pathways.
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Affiliation(s)
- Kiarash Saleki
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
- USERN Office, Babol University of Medical Sciences, Babol, Iran
- Department of e-Learning, Virtual School of Medical Education and Management, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran
| | - Parsa Alijanizadeh
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
- USERN Office, Babol University of Medical Sciences, Babol, Iran
| | - Nima Javanmehr
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
- USERN Office, Babol University of Medical Sciences, Babol, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
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Jameei H, Rakesh D, Zalesky A, Cairns MJ, Reay WR, Wray NR, Di Biase MA. Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review. Schizophr Bull 2024; 50:32-46. [PMID: 37354489 PMCID: PMC10754175 DOI: 10.1093/schbul/sbad087] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia is highly heritable, with a polygenic effect of many genes conferring risk. Evidence on whether cumulative risk also predicts alterations in brain morphology and function is inconsistent. This systematic review examined evidence for schizophrenia polygenic risk score (sczPRS) associations with commonly used magnetic resonance imaging (MRI) measures. We expected consistent evidence to emerge for significant sczPRS associations with variation in structure and function, specifically in frontal, temporal, and insula cortices that are commonly implicated in schizophrenia pathophysiology. STUDY DESIGN In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched MEDLINE, Embase, and PsycINFO for peer-reviewed studies published between January 2013 and March 2022. Studies were screened against predetermined criteria and National Institutes of Health (NIH) quality assessment tools. STUDY RESULTS In total, 57 studies of T1-weighted structural, diffusion, and functional MRI were included (age range = 9-80 years, Nrange = 64-76 644). We observed moderate, albeit preliminary, evidence for higher sczPRS predicting global reductions in cortical thickness and widespread variation in functional connectivity, and to a lesser extent, region-specific reductions in frontal and temporal volume and thickness. Conversely, sczPRS does not predict whole-brain surface area or gray/white matter volume. Limited evidence emerged for sczPRS associations with diffusion tensor measures of white matter microstructure in a large community sample and smaller cohorts of children and young adults. These findings were broadly consistent across community and clinical populations. CONCLUSIONS Our review supports the hypothesis that schizophrenia is a disorder of disrupted within and between-region brain connectivity, and points to specific whole-brain and regional MRI metrics that may provide useful intermediate phenotypes.
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Affiliation(s)
- Hadis Jameei
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia
- Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - William R Reay
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia
- Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Maria A Di Biase
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, VIC, Australia
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Kotsakis Ruehlmann A, Sammallahti S, Cortés Hidalgo AP, Bakulski KM, Binder EB, Campbell ML, Caramaschi D, Cecil CAM, Colicino E, Cruceanu C, Czamara D, Dieckmann L, Dou J, Felix JF, Frank J, Håberg SE, Herberth G, Hoang TT, Houtepen LC, Hüls A, Koen N, London SJ, Magnus MC, Mancano G, Mulder RH, Page CM, Räikkönen K, Röder S, Schmidt RJ, Send TS, Sharp G, Stein DJ, Streit F, Tuhkanen J, Witt SH, Zar HJ, Zenclussen AC, Zhang Y, Zillich L, Wright R, Lahti J, Brunst KJ. Epigenome-wide meta-analysis of prenatal maternal stressful life events and newborn DNA methylation. Mol Psychiatry 2023; 28:5090-5100. [PMID: 36899042 DOI: 10.1038/s41380-023-02010-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 02/08/2023] [Accepted: 02/21/2023] [Indexed: 03/12/2023]
Abstract
Prenatal maternal stressful life events are associated with adverse neurodevelopmental outcomes in offspring. Biological mechanisms underlying these associations are largely unknown, but DNA methylation likely plays a role. This meta-analysis included twelve non-overlapping cohorts from ten independent longitudinal studies (N = 5,496) within the international Pregnancy and Childhood Epigenetics consortium to examine maternal stressful life events during pregnancy and DNA methylation in cord blood. Children whose mothers reported higher levels of cumulative maternal stressful life events during pregnancy exhibited differential methylation of cg26579032 in ALKBH3. Stressor-specific domains of conflict with family/friends, abuse (physical, sexual, and emotional), and death of a close friend/relative were also associated with differential methylation of CpGs in APTX, MyD88, and both UHRF1 and SDCCAG8, respectively; these genes are implicated in neurodegeneration, immune and cellular functions, regulation of global methylation levels, metabolism, and schizophrenia risk. Thus, differences in DNA methylation at these loci may provide novel insights into potential mechanisms of neurodevelopment in offspring.
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Affiliation(s)
- Anna Kotsakis Ruehlmann
- University of Cincinnati College of Medicine, Department of Environmental and Public Health Sciences, Cincinnati, OH, USA
| | - Sara Sammallahti
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Andrea P Cortés Hidalgo
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Kelly M Bakulski
- University of Michigan, School of Public Health, Department of Epidemiology, Ann Arbor, MI, USA
| | - Elisabeth B Binder
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Megan Loraine Campbell
- University of Cape Town, Department of Psychiatry and Mental Health, Cape Town, South Africa
| | - Doretta Caramaschi
- School of Psychology, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Charlotte A M Cecil
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cristiana Cruceanu
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Darina Czamara
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Linda Dieckmann
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - John Dou
- University of Michigan, School of Public Health, Department of Epidemiology, Ann Arbor, MI, USA
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gunda Herberth
- Helmholtz Centre for Environmental Research - UFZ, Department of Environmental Immunology, Leipzig, Germany
| | - Thanh T Hoang
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, 27709, NC, USA
| | - Lotte C Houtepen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; and UCT Neuroscience Institute, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, 27709, NC, USA
| | - Maria C Magnus
- Norwegian Institute of Public Health, Centre for Fertility and Health, Oslo, Norway
| | - Giulia Mancano
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Rosa H Mulder
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Katri Räikkönen
- University of Helsinki, Faculty of Medicine, Department of Psychology and Logopedics, Helsinki, Finland
| | - Stefan Röder
- Helmholtz Centre for Environmental Research - UFZ, Department of Environmental Immunology, Leipzig, Germany
| | - Rebecca J Schmidt
- University of California-Davis, School of Medicine, Department of Public Health Sciences, Davis, CA, USA
| | - Tabea S Send
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gemma Sharp
- School of Psychology, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; and UCT Neuroscience Institute, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johanna Tuhkanen
- University of Helsinki, Faculty of Medicine, Department of Psychology and Logopedics, Helsinki, Finland
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Heather J Zar
- Department of Paediatrics & Child Health & SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Ana C Zenclussen
- Helmholtz Centre for Environmental Research - UFZ, Department of Environmental Immunology, Leipzig, Germany
| | - Yining Zhang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rosalind Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jari Lahti
- University of Helsinki, Faculty of Medicine, Department of Psychology and Logopedics, Helsinki, Finland
| | - Kelly J Brunst
- University of Cincinnati College of Medicine, Department of Environmental and Public Health Sciences, Cincinnati, OH, USA.
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Maury EA, Sherman MA, Genovese G, Gilgenast TG, Kamath T, Burris S, Rajarajan P, Flaherty E, Akbarian S, Chess A, McCarroll SA, Loh PR, Phillips-Cremins JE, Brennand KJ, Macosko EZ, Walters JT, O’Donovan M, Sullivan P, Sebat J, Lee EA, Walsh CA. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions. CELL GENOMICS 2023; 3:100356. [PMID: 37601975 PMCID: PMC10435376 DOI: 10.1016/j.xgen.2023.100356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/21/2022] [Accepted: 06/09/2023] [Indexed: 08/22/2023]
Abstract
While germline copy-number variants (CNVs) contribute to schizophrenia (SCZ) risk, the contribution of somatic CNVs (sCNVs)-present in some but not all cells-remains unknown. We identified sCNVs using blood-derived genotype arrays from 12,834 SCZ cases and 11,648 controls, filtering sCNVs at loci recurrently mutated in clonal blood disorders. Likely early-developmental sCNVs were more common in cases (0.91%) than controls (0.51%, p = 2.68e-4), with recurrent somatic deletions of exons 1-5 of the NRXN1 gene in five SCZ cases. Hi-C maps revealed ectopic, allele-specific loops forming between a potential cryptic promoter and non-coding cis-regulatory elements upon 5' deletions in NRXN1. We also observed recurrent intragenic deletions of ABCB11, encoding a transporter implicated in anti-psychotic response, in five treatment-resistant SCZ cases and showed that ABCB11 is specifically enriched in neurons forming mesocortical and mesolimbic dopaminergic projections. Our results indicate potential roles of sCNVs in SCZ risk.
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Affiliation(s)
- Eduardo A. Maury
- Division of Genetics and Genomics, Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Bioinformatics & Integrative Genomics Program and Harvard/MIT MD-PHD Program, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maxwell A. Sherman
- Brigham and Women’s Hospital, Division of Genetics & Center for Data Sciences, Boston, MA, USA
| | - Giulio Genovese
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Thomas G. Gilgenast
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Tushar Kamath
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA
| | - S.J. Burris
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Prashanth Rajarajan
- Nash Family Department of Neuroscience, Friedman Brain Institute, Department of Genetics & Genomics, Icahn Institute of Genomics and Multiscale Biology, Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine of Mount Sinai, New York, NY, USA
| | - Erin Flaherty
- Nash Family Department of Neuroscience, Friedman Brain Institute, Department of Genetics & Genomics, Icahn Institute of Genomics and Multiscale Biology, Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine of Mount Sinai, New York, NY, USA
| | - Schahram Akbarian
- Nash Family Department of Neuroscience, Friedman Brain Institute, Department of Genetics & Genomics, Icahn Institute of Genomics and Multiscale Biology, Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine of Mount Sinai, New York, NY, USA
| | - Andrew Chess
- Nash Family Department of Neuroscience, Friedman Brain Institute, Department of Genetics & Genomics, Icahn Institute of Genomics and Multiscale Biology, Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine of Mount Sinai, New York, NY, USA
| | - Steven A. McCarroll
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Brigham and Women’s Hospital, Division of Genetics & Center for Data Sciences, Boston, MA, USA
| | | | - Kristen J. Brennand
- Nash Family Department of Neuroscience, Friedman Brain Institute, Department of Genetics & Genomics, Icahn Institute of Genomics and Multiscale Biology, Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine of Mount Sinai, New York, NY, USA
- Departments of Psychiatry and Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Evan Z. Macosko
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA
| | - James T.R. Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, Cardiff University, Cardiff, Wales
| | - Michael O’Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, Cardiff University, Cardiff, Wales
| | - Patrick Sullivan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jonathan Sebat
- University of California San Diego, Department of Psychiatry, Department of Cellular & Molecular Medicine, Beyster Center of Psychiatric Genomics, San Diego, CA, USA
| | - Eunjung A. Lee
- Division of Genetics and Genomics, Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, USA
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6
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Abdolmaleky HM, Martin M, Zhou JR, Thiagalingam S. Epigenetic Alterations of Brain Non-Neuronal Cells in Major Mental Diseases. Genes (Basel) 2023; 14:896. [PMID: 37107654 PMCID: PMC10137903 DOI: 10.3390/genes14040896] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/22/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The tissue-specific expression and epigenetic dysregulation of many genes in cells derived from the postmortem brains of patients have been reported to provide a fundamental biological framework for major mental diseases such as autism, schizophrenia, bipolar disorder, and major depression. However, until recently, the impact of non-neuronal brain cells, which arises due to cell-type-specific alterations, has not been adequately scrutinized; this is because of the absence of techniques that directly evaluate their functionality. With the emergence of single-cell technologies, such as RNA sequencing (RNA-seq) and other novel techniques, various studies have now started to uncover the cell-type-specific expression and DNA methylation regulation of many genes (e.g., TREM2, MECP2, SLC1A2, TGFB2, NTRK2, S100B, KCNJ10, and HMGB1, and several complement genes such as C1q, C3, C3R, and C4) in the non-neuronal brain cells involved in the pathogenesis of mental diseases. Additionally, several lines of experimental evidence indicate that inflammation and inflammation-induced oxidative stress, as well as many insidious/latent infectious elements including the gut microbiome, alter the expression status and the epigenetic landscapes of brain non-neuronal cells. Here, we present supporting evidence highlighting the importance of the contribution of the brain's non-neuronal cells (in particular, microglia and different types of astrocytes) in the pathogenesis of mental diseases. Furthermore, we also address the potential impacts of the gut microbiome in the dysfunction of enteric and brain glia, as well as astrocytes, which, in turn, may affect neuronal functions in mental disorders. Finally, we present evidence that supports that microbiota transplantations from the affected individuals or mice provoke the corresponding disease-like behavior in the recipient mice, while specific bacterial species may have beneficial effects.
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Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Marian Martin
- Department of Neurology, Albert Einstein College of Medicine, New York, NY 10461, USA
| | - Jin-Rong Zhou
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
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7
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Chen M, Li S, Zhu Z, Dai C, Hao X. Investigating the shared genetic architecture and causal relationship between pain and neuropsychiatric disorders. Hum Genet 2023; 142:431-443. [PMID: 36445456 DOI: 10.1007/s00439-022-02507-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/14/2022] [Indexed: 11/30/2022]
Abstract
Pain often occurs in parallel with neuropsychiatric disorders. However, the underlying mechanisms and potential causality have not been well studied. We collected the genome-wide association study (GWAS) summary statistics of 26 common pain and neuropsychiatric disorders with sample size ranging from 17,310 to 482,730 in European population. The genetic correlation between pair of pain and neuropsychiatric disorders, as well as the relevant cell types were investigated by linkage disequilibrium (LD) score regression analyses. Then, transcriptome-wide association study (TWAS) was applied to identify the potential shared genes by integrating the gene expression information and GWAS. In addition, Mendelian randomization (MR) analyses were conducted to infer the potential causality between pain and neuropsychiatric disorders. Among the 169 pairwise pain and neuropsychiatric disorders, 55 pairs showed positive correlations (median rg = 0.43) and 9 pairs showed negative correlations (median rg = -0.31). Using MR analyses, 26 likely causal associations were identified, including that neuroticism and insomnia were risk factors for most of short-term pain, and multisite chronic pain was risk factor for neuroticism, insomnia, major depressive disorder and attention deficit/hyperactivity disorder, and vice versa. The signals of pain and neuropsychiatric disorders tended to be enriched in the functional regions of cell types from central nervous system (CNS). A total of 19 genes shared in at least one pain and neuropsychiatric disorder pair were identified by TWAS, including AMT, NCOA6, and UNC45A, which involved in glycine degradation, insulin secretion, and cell proliferation, respectively. Our findings provided the evidence of shared genetic structure, causality and potential shared pathogenic mechanisms between pain and neuropsychiatric disorders, and enhanced our understanding of the comorbidities of pain and neuropsychiatric disorders.
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Affiliation(s)
- Mengya Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Si Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Ziwei Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Chengguqiu Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xingjie Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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8
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Lynham AJ, Knott S, Underwood JFG, Hubbard L, Agha SS, Bisson JI, van den Bree MBM, Chawner SJRA, Craddock N, O'Donovan M, Jones IR, Kirov G, Langley K, Martin J, Rice F, Roberts NP, Thapar A, Anney R, Owen MJ, Hall J, Pardiñas AF, Walters JTR. DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychiatric cohorts. BJPsych Open 2023; 9:e32. [PMID: 36752340 PMCID: PMC9970169 DOI: 10.1192/bjo.2022.636] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/02/2022] [Accepted: 12/16/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Current psychiatric diagnoses, although heritable, have not been clearly mapped onto distinct underlying pathogenic processes. The same symptoms often occur in multiple disorders, and a substantial proportion of both genetic and environmental risk factors are shared across disorders. However, the relationship between shared symptoms and shared genetic liability is still poorly understood. AIMS Well-characterised, cross-disorder samples are needed to investigate this matter, but few currently exist. Our aim is to develop procedures to purposely curate and aggregate genotypic and phenotypic data in psychiatric research. METHOD As part of the Cardiff MRC Mental Health Data Pathfinder initiative, we have curated and harmonised phenotypic and genetic information from 15 studies to create a new data repository, DRAGON-Data. To date, DRAGON-Data includes over 45 000 individuals: adults and children with neurodevelopmental or psychiatric diagnoses, affected probands within collected families and individuals who carry a known neurodevelopmental risk copy number variant. RESULTS We have processed the available phenotype information to derive core variables that can be reliably analysed across groups. In addition, all data-sets with genotype information have undergone rigorous quality control, imputation, copy number variant calling and polygenic score generation. CONCLUSIONS DRAGON-Data combines genetic and non-genetic information, and is available as a resource for research across traditional psychiatric diagnostic categories. Algorithms and pipelines used for data harmonisation are currently publicly available for the scientific community, and an appropriate data-sharing protocol will be developed as part of ongoing projects (DATAMIND) in partnership with Health Data Research UK.
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Affiliation(s)
- Amy J. Lynham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Sarah Knott
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Jack F. G. Underwood
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Leon Hubbard
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Sharifah S. Agha
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Jonathan I. Bisson
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Marianne B. M. van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Samuel J. R. A. Chawner
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Nicholas Craddock
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Ian R. Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - George Kirov
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Kate Langley
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK; and School of Psychology, Cardiff University, UK
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Frances Rice
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Neil P. Roberts
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK; and Directorate of Psychology and Psychological Therapies, Cardiff & Vale University Health Board, UK
| | - Anita Thapar
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Richard Anney
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Michael J. Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Antonio F. Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - James T. R. Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
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9
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Levy RJ, Timothy KW, Underwood JFG, Hall J, Bernstein JA, Pașca SP. A Cross-Sectional Study of the Neuropsychiatric Phenotype of CACNA1C-Related Disorder. Pediatr Neurol 2023; 138:101-106. [PMID: 36436328 DOI: 10.1016/j.pediatrneurol.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/26/2022] [Accepted: 10/29/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND CACNA1C encodes the voltage-gated L-type calcium channel CaV1.2. A specific gain-of-function pathogenic variant in CACNA1C causes Timothy syndrome type 1 (TS1) with cardiac long QT syndrome, syndactyly, and neuropsychiatric symptoms. Our previous work found that the TS1 mutation alters neuronal activity-dependent signaling and interneuron migration. Recent case series highlighted a broader spectrum of CACNA1C-related disorder (CRD) that includes isolated cardiac disease, isolated neurologic deficits, and TS, but it is unknown how the clinical presentation of other CRD variants relates to neural defects. We surveyed individuals with CRD to define the neuropsychiatric and developmental phenotype in an effort to guide future research into the role of calcium channels in neural development. METHODS Caregivers of and individuals with CRD completed an online survey of pre- and perinatal events, cardiac events, developmental milestones, neuropsychiatric symptoms, and neuropsychiatric diagnoses. Multiple Mann-Whitney tests were used for comparison of categorical values and Fisher exact test for comparison of categorical variables between participants with and without cardiac arrhythmia. RESULTS Twenty-four participants with germline CACNA1C variants including TS1 completed the survey. The most common neuropsychiatric symptoms and/or diagnoses were developmental delay in 92%, incoordination in 71%, hypotonia in 67%, autism spectrum disorder in 50% (autistic features in 92%), seizures in 37.5%, and attention-deficit/hyperactivity disorder in 21% of participants. There were no significant differences in symptoms between participants with and without arrhythmia. CONCLUSIONS In our CRD cohort, there was an increased prevalence of multiple neuropsychiatric symptoms compared with the general population. These findings indicate the key role of CaV1.2 in brain development and the clinical importance of screening and therapeutically addressing neuropsychiatric symptoms in all individuals with CRD. Future directions include deep phenotyping of neuropsychiatric symptoms and efforts to relate these symptoms to cellular defects.
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Affiliation(s)
- Rebecca J Levy
- Division of Medical Genetics in the Department of Pediatrics, Stanford University, Stanford, California; Division of Child Neurology in the Department of Neurology, Stanford University, Stanford, California
| | | | - Jack F G Underwood
- Neuroscience & Mental Health Innovation Institute, Cardiff University, Cardiff, Wales, UK
| | - Jeremy Hall
- Neuroscience & Mental Health Innovation Institute, Cardiff University, Cardiff, Wales, UK
| | - Jonathan A Bernstein
- Division of Medical Genetics in the Department of Pediatrics, Stanford University, Stanford, California.
| | - Sergiu P Pașca
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Stanford Brain Organogenesis, Wu Tsai Neurosciences Institute and Bio-X, Stanford University, Stanford, California.
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10
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Gadd DA, Hillary RF, McCartney DL, Shi L, Stolicyn A, Robertson NA, Walker RM, McGeachan RI, Campbell A, Xueyi S, Barbu MC, Green C, Morris SW, Harris MA, Backhouse EV, Wardlaw JM, Steele JD, Oyarzún DA, Muniz-Terrera G, Ritchie C, Nevado-Holgado A, Chandra T, Hayward C, Evans KL, Porteous DJ, Cox SR, Whalley HC, McIntosh AM, Marioni RE. Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health. Nat Commun 2022; 13:4670. [PMID: 35945220 PMCID: PMC9363452 DOI: 10.1038/s41467-022-32319-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 07/25/2022] [Indexed: 12/04/2022] Open
Abstract
Characterising associations between the methylome, proteome and phenome may provide insight into biological pathways governing brain health. Here, we report an integrated DNA methylation and phenotypic study of the circulating proteome in relation to brain health. Methylome-wide association studies of 4058 plasma proteins are performed (N = 774), identifying 2928 CpG-protein associations after adjustment for multiple testing. These are independent of known genetic protein quantitative trait loci (pQTLs) and common lifestyle effects. Phenome-wide association studies of each protein are then performed in relation to 15 neurological traits (N = 1,065), identifying 405 associations between the levels of 191 proteins and cognitive scores, brain imaging measures or APOE e4 status. We uncover 35 previously unreported DNA methylation signatures for 17 protein markers of brain health. The epigenetic and proteomic markers we identify are pertinent to understanding and stratifying brain health.
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Affiliation(s)
- Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Liu Shi
- Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK
| | - Aleks Stolicyn
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Neil A Robertson
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Rosie M Walker
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, Edinburgh BioQuarter, Edinburgh, EH16 4SB, UK
| | - Robert I McGeachan
- Centre for Discovery Brain Sciences, University of Edinburgh, 1 George Square, Edinburgh, EH8 9JZ, UK
- The Hospital for Small Animals, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Shen Xueyi
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Miruna C Barbu
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Claire Green
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Stewart W Morris
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Mathew A Harris
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Ellen V Backhouse
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, Edinburgh BioQuarter, Edinburgh, EH16 4SB, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, Edinburgh BioQuarter, Edinburgh, EH16 4SB, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - J Douglas Steele
- Division of Imaging Science and Technology, Medical School, University of Dundee, Dundee, DD1 9SY, UK
| | - Diego A Oyarzún
- School of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK
- School of Biological Sciences, University of Edinburgh, Edinburgh, EH3 3JF, UK
- The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK
| | - Graciela Muniz-Terrera
- Centre for Clinical Brain Sciences, Edinburgh Dementia Prevention, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Department of Social Medicine, Ohio University, Athens, OH, 45701, USA
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, Edinburgh Dementia Prevention, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | | | - Tamir Chandra
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Caroline Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Simon R Cox
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Heather C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
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11
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Percival CJ, Devine J, Hassan CR, Vidal‐Garcia M, O'Connor‐Coates CJ, Zaffarini E, Roseman C, Katz D, Hallgrimsson B. The genetic basis of neurocranial size and shape across varied lab mouse populations. J Anat 2022; 241:211-229. [PMID: 35357006 PMCID: PMC9296060 DOI: 10.1111/joa.13657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 02/11/2022] [Accepted: 03/08/2022] [Indexed: 11/26/2022] Open
Abstract
Brain and skull tissues interact through molecular signalling and mechanical forces during head development, leading to a strong correlation between the neurocranium and the external brain surface. Therefore, when brain tissue is unavailable, neurocranial endocasts are often used to approximate brain size and shape. Evolutionary changes in brain morphology may have resulted in secondary changes to neurocranial morphology, but the developmental and genetic processes underlying this relationship are not well understood. Using automated phenotyping methods, we quantified the genetic basis of endocast variation across large genetically varied populations of laboratory mice in two ways: (1) to determine the contributions of various genetic factors to neurocranial form and (2) to help clarify whether a neurocranial variation is based on genetic variation that primarily impacts bone development or on genetic variation that primarily impacts brain development, leading to secondary changes in bone morphology. Our results indicate that endocast size is highly heritable and is primarily determined by additive genetic factors. In addition, a non-additive inbreeding effect led to founder strains with lower neurocranial size, but relatively large brains compared to skull size; suggesting stronger canalization of brain size and/or a general allometric effect. Within an outbred sample of mice, we identified a locus on mouse chromosome 1 that is significantly associated with variation in several positively correlated endocast size measures. Because the protein-coding genes at this locus have been previously associated with brain development and not with bone development, we propose that genetic variation at this locus leads primarily to variation in brain volume that secondarily leads to changes in neurocranial globularity. We identify a strain-specific missense mutation within Akt3 that is a strong causal candidate for this genetic effect. Whilst it is not appropriate to generalize our hypothesis for this single locus to all other loci that also contribute to the complex trait of neurocranial skull morphology, our results further reveal the genetic basis of neurocranial variation and highlight the importance of the mechanical influence of brain growth in determining skull morphology.
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Affiliation(s)
| | - Jay Devine
- Cell Biology and AnatomyUniversity of Calgary Cumming School of MedicineCalgaryCanada
| | | | - Marta Vidal‐Garcia
- Cell Biology and AnatomyUniversity of Calgary Cumming School of MedicineCalgaryCanada
| | | | - Eva Zaffarini
- Cell Biology and AnatomyUniversity of Calgary Cumming School of MedicineCalgaryCanada
| | - Charles Roseman
- Department of Evolution, Ecology, and BehaviorUniversity of IllinoisUrbanaIllinoisUSA
| | - David Katz
- Cell Biology and AnatomyUniversity of Calgary Cumming School of MedicineCalgaryCanada
| | - Benedikt Hallgrimsson
- Cell Biology and Anatomy, Alberta Children's Hospital Research Institute, Cumming School of MedicineUniversity of CalgaryCalgaryCanada
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12
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Ren ZL, Zhang HB, Li L, Yang ZL, Jiang L. Characterization of two novel knock-in mouse models of syndromic retinal ciliopathy carrying hypomorphic Sdccag8 mutations. Zool Res 2022; 43:442-456. [PMID: 35503560 PMCID: PMC9113982 DOI: 10.24272/j.issn.2095-8137.2021.387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/21/2022] [Indexed: 11/07/2022] Open
Abstract
Mutations in serologically defined colon cancer autoantigen protein 8 ( SDCCAG8) were first identified in retinal ciliopathy families a decade ago with unknown function. To investigate the pathogenesis of SDCCAG8-associated retinal ciliopathies in vivo, we employed CRISPR/Cas9-mediated homology-directed recombination (HDR) to generate two knock-in mouse models, Sdccag8Y236X/Y236X and Sdccag8E451GfsX467/E451GfsX467 , which carry truncating mutations of the mouse Sdccag8, corresponding to mutations that cause Bardet-Biedl syndrome (BBS) and Senior-Løken syndrome (SLS) (c.696T>G p.Y232X and c.1339-1340insG p.E447GfsX463) in humans, respectively. The two mutant Sdccag8 knock-in mice faithfully recapitulated human SDCCAG8-associated BBS phenotypes such as rod-cone dystrophy, cystic renal disorder, polydactyly, infertility, and growth retardation, with varied age of onset and severity depending on the hypomorphic strength of the Sdccag8 mutations. To the best of our knowledge, these knock-in mouse lines are the first BBS mouse models to present with the polydactyly phenotype. Major phototransduction protein mislocalization was also observed outside the outer segment after initiation of photoreceptor degeneration. Impaired cilia were observed in the mutant photoreceptors, renal epithelial cells, and mouse embryonic fibroblasts derived from the knock-in mouse embryos, suggesting that SDCCAG8 plays an essential role in ciliogenesis, and cilium defects are a primary driving force of SDCCAG8-associated retinal ciliopathies.
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Affiliation(s)
- Zhi-Lin Ren
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
| | - Hou-Bin Zhang
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan 610072, China
| | - Lin Li
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan 610072, China
| | - Zheng-Lin Yang
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan 610072, China. E-mail:
| | - Li Jiang
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan 610072, China . E-mail:
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13
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Powerful and robust inference of complex phenotypes' causal genes with dependent expression quantitative loci by a median-based Mendelian randomization. Am J Hum Genet 2022; 109:838-856. [PMID: 35460606 DOI: 10.1016/j.ajhg.2022.04.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/04/2022] [Indexed: 11/22/2022] Open
Abstract
Isolating the causal genes from numerous genetic association signals in genome-wide association studies (GWASs) of complex phenotypes remains an open and challenging question. In the present study, we proposed a statistical approach, the effective-median-based Mendelian randomization (MR) framework, for inferring the causal genes of complex phenotypes with the GWAS summary statistics (named EMIC). The effective-median method solved the high false-positive issue in the existing MR methods due to either correlation among instrumental variables or noises in approximated linkage disequilibrium (LD). EMIC can further perform a pleiotropy fine-mapping analysis to remove possible false-positive estimates. With the usage of multiple cis-expression quantitative trait loci (eQTLs), EMIC was also more powerful than the alternative methods for the causal gene inference in the simulated datasets. Furthermore, EMIC rediscovered many known causal genes of complex phenotypes (schizophrenia, bipolar disorder, and total cholesterol) and reported many new and promising candidate causal genes. In sum, this study provided an efficient solution to discriminate the candidate causal genes from vast amounts of GWAS signals with eQTLs. EMIC has been implemented in our integrative software platform KGGSEE.
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14
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Wang Z, Fu Y, Jiang F, Chen L, Chen W, Guo X, Luo X. Further evidence and meta-analysis support association of a single nucleotide polymorphism rs4765905 in CACNA1C with schizophrenia. Schizophr Res 2022; 243:454-455. [PMID: 35221147 DOI: 10.1016/j.schres.2022.01.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 01/05/2022] [Accepted: 01/24/2022] [Indexed: 10/19/2022]
Affiliation(s)
- Zuxing Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University school of medicine, Shanghai, China; Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yingmei Fu
- Shanghai Mental Health Center, Shanghai Jiao Tong University school of medicine, Shanghai, China
| | - Fugui Jiang
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Lili Chen
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Wenzhong Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University school of medicine, Shanghai, China.
| | - Xiaoyun Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University school of medicine, Shanghai, China.
| | - Xingguang Luo
- Biological Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing, China.
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15
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Hu L, Zhang L. Adult neural stem cells and schizophrenia. World J Stem Cells 2022; 14:219-230. [PMID: 35432739 PMCID: PMC8968214 DOI: 10.4252/wjsc.v14.i3.219] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/18/2021] [Accepted: 03/07/2022] [Indexed: 02/06/2023] Open
Abstract
Schizophrenia (SCZ) is a devastating and complicated mental disorder accompanied by variable positive and negative symptoms and cognitive deficits. Although many genetic risk factors have been identified, SCZ is also considered as a neurodevelopmental disorder. Elucidation of the pathogenesis and the development of treatment is challenging because complex interactions occur between these genetic risk factors and environment in essential neurodevelopmental processes. Adult neural stem cells share a lot of similarities with embryonic neural stem cells and provide a promising model for studying neuronal development in adulthood. These adult neural stem cells also play an important role in cognitive functions including temporal and spatial memory encoding and context discrimination, which have been shown to be closely linked with many psychiatric disorders, such as SCZ. Here in this review, we focus on the SCZ risk genes and the key components in related signaling pathways in adult hippocampal neural stem cells and summarize their roles in adult neurogenesis and animal behaviors. We hope that this would be helpful for the understanding of the contribution of dysregulated adult neural stem cells in the pathogenesis of SCZ and for the identification of potential therapeutic targets, which could facilitate the development of novel medication and treatment.
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Affiliation(s)
- Ling Hu
- Department of Laboratory Animal Science and Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center) and Department of Anatomy and Neurobiology, Tongji University School of Medicine, Shanghai 200092, China
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16
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Monroy-Jaramillo N, Martínez-Magaña JJ, Pérez-Aldana BE, Ortega-Vázquez A, Montalvo-Ortiz J, López-López M. The role of alcohol intake in the pharmacogenetics of treatment with clozapine. Pharmacogenomics 2022; 23:371-392. [PMID: 35311547 DOI: 10.2217/pgs-2022-0006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Clozapine (CLZ) is an atypical antipsychotic reserved for patients with refractory psychosis, but it is associated with a significant risk of severe adverse reactions (ADRs) that are potentiated with the concomitant use of alcohol. Additionally, pharmacogenetic studies have explored the influence of several genetic variants in CYP450, receptors and transporters involved in the interindividual response to CLZ. Herein, we systematically review the current multiomics knowledge behind the interaction between CLZ and alcohol intake, and how its concomitant use might modulate the pharmacogenetics. CYP1A2*1F, *1C and other alleles not yet discovered could support a precision medicine approach for better therapeutic effects and fewer CLZ ADRs. CLZ monitoring systems should be amended and include alcohol intake to protect patients from severe CLZ ADRs.
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Affiliation(s)
- Nancy Monroy-Jaramillo
- Department of Genetics, National Institute of Neurology & Neurosurgery, Manuel Velasco Suárez, La Fama, Tlalpan, Mexico City, 14269, Mexico
| | - José Jaime Martínez-Magaña
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, Orange, West Haven, CT 06477, USA
| | - Blanca Estela Pérez-Aldana
- Doctorado en Ciencias Biológicas y de la Salud, Metropolitan Autonomous University, Campus Xochimilco, Villa Quietud, Coyoacán, Mexico City, 04960, Mexico
| | - Alberto Ortega-Vázquez
- Metropolitan Autonomous University, Campus Xochimilco, Villa Quietud, Coyoacán, Mexico City, 04960, Mexico
| | - Janitza Montalvo-Ortiz
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, Orange, West Haven, CT 06477, USA
| | - Marisol López-López
- Metropolitan Autonomous University, Campus Xochimilco, Villa Quietud, Coyoacán, Mexico City, 04960, Mexico
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17
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Pardiñas AF, Smart SE, Willcocks IR, Holmans PA, Dennison CA, Lynham AJ, Legge SE, Baune BT, Bigdeli TB, Cairns MJ, Corvin A, Fanous AH, Frank J, Kelly B, McQuillin A, Melle I, Mortensen PB, Mowry BJ, Pato CN, Periyasamy S, Rietschel M, Rujescu D, Simonsen C, St Clair D, Tooney P, Wu JQ, Andreassen OA, Kowalec K, Sullivan PF, Murray RM, Owen MJ, MacCabe JH, O’Donovan MC, Walters JTR, Ajnakina O, Alameda L, Barnes TRE, Berardi D, Bonora E, Camporesi S, Cleusix M, Conus P, Crespo-Facorro B, D'Andrea G, Demjaha A, Do KQ, Doody GA, Eap CB, Ferchiou A, Di Forti M, Guidi L, Homman L, Jenni R, Joyce EM, Kassoumeri L, Khadimallah I, Lastrina O, Muratori R, Noyan H, O'Neill FA, Pignon B, Restellini R, Richard JR, Schürhoff F, Španiel F, Szöke A, Tarricone I, Tortelli A, Üçok A, Vázquez-Bourgon J. Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia. JAMA Psychiatry 2022; 79:260-269. [PMID: 35019943 PMCID: PMC8756361 DOI: 10.1001/jamapsychiatry.2021.3799] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
IMPORTANCE About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts. OBJECTIVE To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples. DESIGN, SETTING, AND PARTICIPANTS Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS: a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G]). MAIN OUTCOMES AND MEASURES GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition. RESULTS The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04). CONCLUSIONS AND RELEVANCE In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance.
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Affiliation(s)
- Antonio F. Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Sophie E. Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Isabella R. Willcocks
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Peter A. Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Charlotte A. Dennison
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Amy J. Lynham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Sophie E. Legge
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Bernhard T. Baune
- Department of Psychiatry, University of Münster, Münster, Germany,Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
| | - Tim B. Bigdeli
- Department of Psychiatry and the Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn,Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn,Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, Brooklyn
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia,Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia,Hunter Medical Research Institute, Newcastle, Australia
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Ayman H. Fanous
- Department of Psychiatry and the Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn,Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Mannheim, Germany
| | - Brian Kelly
- School of Medicine & Public Health, The University of Newcastle, Newcastle, Australia
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, United Kingdom
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway
| | - Preben B. Mortensen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Bryan J. Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia,Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Australia
| | - Carlos N. Pato
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn,Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine, University of Southern California, Los Angeles,Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn
| | - Sathish Periyasamy
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia,Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Australia
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Mannheim, Germany
| | - Dan Rujescu
- University Clinic and Outpatient Clinic for Psychiatry, Psychotherapy and Psychosomatics, Martin Luther University of Halle-Wittenberg, Halle, Germany,Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Carmen Simonsen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - David St Clair
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Paul Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia,Hunter Medical Research Institute, Newcastle, Australia
| | - Jing Qin Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway
| | - Kaarina Kowalec
- College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patrick F. Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Department of Psychiatry, Icahn School of Medicine, Mount Sinai Hospital, New York, New York,Department of Genetics, University of North Carolina, Chapel Hill
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Michael J. Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - James H. MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Michael C. O’Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - James T. R. Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | | | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, University of London, London, United Kingdom.,Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Centro de Investigacion Biomedica en Red de Salud Mental, Spanish Network for Research in Mental Health, Sevilla, Spain.,Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain.,Treatment and Early Intervention in Psychosis Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Thomas R E Barnes
- Division of Psychiatry, Imperial College London, London, United Kingdom
| | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Elena Bonora
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Sara Camporesi
- Treatment and Early Intervention in Psychosis Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.,Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Martine Cleusix
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Philippe Conus
- Treatment and Early Intervention in Psychosis Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Benedicto Crespo-Facorro
- Centro de Investigacion Biomedica en Red de Salud Mental, Spanish Network for Research in Mental Health, Sevilla, Spain.,Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain
| | - Giuseppe D'Andrea
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Kim Q Do
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Gillian A Doody
- Department of Medical Education, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, United Kingdom
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.,School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.,Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Aziz Ferchiou
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France
| | - Marta Di Forti
- Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,South London and Maudsley National Health Service Mental Health Foundation Trust, London, United Kingdom
| | - Lorenzo Guidi
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Lina Homman
- Department of Social and Welfare Studies, Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden.,Centre For Public Health, Institute Of Clinical Sciences, Queens University Belfast, Belfast, United Kingdom
| | - Raoul Jenni
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Eileen M Joyce
- UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Inès Khadimallah
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Ornella Lastrina
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Roberto Muratori
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Handan Noyan
- Faculty of Social Sciences, Department of Psychology, Beykoz University, Istanbul, Turkey
| | - Francis A O'Neill
- Centre For Public Health, Institute Of Clinical Sciences, Queens University Belfast, Belfast, United Kingdom
| | - Baptiste Pignon
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires HMondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision, Créteil, France
| | - Romeo Restellini
- Treatment and Early Intervention in Psychosis Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.,Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Jean-Romain Richard
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France
| | - Franck Schürhoff
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires HMondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision, Créteil, France
| | - Filip Španiel
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia.,Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Andrei Szöke
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires HMondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision, Créteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Andrea Tortelli
- University Paris-Est Créteil, Institut national de la santé et de la recherche médicale, Mondor Institute for Biomedical Research, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris, Pôle Psychiatrie Précarité, Paris, France
| | - Alp Üçok
- Department of Psychiatry, Istanbul University, Istanbul, Turkey
| | - Javier Vázquez-Bourgon
- Department of Psychiatry, University Hospital Marques de Valdecilla-Instituto de Investigación Marques de Valdecilla, Santander, Spain.,Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain.,Centro de Investigacion Biomedica en Red de Salud Mental, Spanish Network for Research in Mental Health, Santander, Spain
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18
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Lin P, Sun J, Lou X, Li D, Shi Y, Li Z, Ma P, Li P, Chen S, Jin W, Liu S, Chen Q, Gao Q, Zhu L, Xu J, Zhu M, Wang M, Liang K, Zhao L, Xu H, Dong K, Li Q, Cheng X, Chen J, Guo X. Consensus on potential biomarkers developed for use in clinical tests for schizophrenia. Gen Psychiatr 2022; 35:e100685. [PMID: 35309241 PMCID: PMC8867318 DOI: 10.1136/gpsych-2021-100685] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/07/2022] [Indexed: 12/12/2022] Open
Abstract
BackgroundSchizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice.AimsWe aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research.MethodsWe searched publications within the last 10 years with the following keywords: ‘schizophrenia’, ‘gene’, ‘inflammation’, ‘neurotransmitter’, ‘protein marker’, ‘gut microbiota’, ‘pharmacogenomics’ and ‘biomarker’. A draft of the consensus was discussed and agreed on by all authors at a round table session.ResultsWe summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper.ConclusionsFurther efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease.
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Affiliation(s)
- Ping Lin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Junyu Sun
- Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Xiaoyan Lou
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Shi
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenhua Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peijun Ma
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuzi Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weifeng Jin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuai Liu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiong Gao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Xu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengyuan Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengxia Wang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kangyi Liang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Zhao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huabin Xu
- Clinical Laboratory, Affiliated Hospital of West Anhui Health Vocational College, Lu’an, Anhui, China
| | - Ke Dong
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingtian Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xunjia Cheng
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Jinghong Chen
- Editorial Office of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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19
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Li Y, Ma C, Li S, Wang J, Li W, Yang Y, Li X, Liu J, Yang J, Liu Y, Li K, Li J, Huang D, Chen R, Lv L, Xiao X, Li M, Luo X. Regulatory Variant rs2535629 in ITIH3 Intron Confers Schizophrenia Risk By Regulating CTCF Binding and SFMBT1 Expression. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104786. [PMID: 34978167 PMCID: PMC8867204 DOI: 10.1002/advs.202104786] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Genome-wide association studies have identified 3p21.1 as a robust risk locus for schizophrenia. However, the underlying molecular mechanisms remain elusive. Here a functional regulatory variant (rs2535629) is identified that disrupts CTCF binding at 3p21.1. It is confirmed that rs2535629 is also significantly associated with schizophrenia in Chinese population and the regulatory effect of rs2535629 is validated. Expression quantitative trait loci analysis indicates that rs2535629 is associated with the expression of three distal genes (GLT8D1, SFMBT1, and NEK4) in the human brain, and CRISPR-Cas9-mediated genome editing confirmed the regulatory effect of rs2535629 on GLT8D1, SFMBT1, and NEK4. Interestingly, differential expression analysis of GLT8D1, SFMBT1, and NEK4 suggested that rs2535629 may confer schizophrenia risk by regulating SFMBT1 expression. It is further demonstrated that Sfmbt1 regulates neurodevelopment and dendritic spine density, two key pathological characteristics of schizophrenia. Transcriptome analysis also support the potential role of Sfmbt1 in schizophrenia pathogenesis. The study identifies rs2535629 as a plausibly causal regulatory variant at the 3p21.1 risk locus and demonstrates the regulatory mechanism and biological effect of this functional variant, indicating that this functional variant confers schizophrenia risk by altering CTCF binding and regulating expression of SFMBT1, a distal gene which plays important roles in neurodevelopment and synaptic morphogenesis.
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Affiliation(s)
- Yifan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Changguo Ma
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Yunnan Key Laboratory for Basic Research on Bone and Joint Diseases & Yunnan Stem Cell Translational Research CenterKunming UniversityKunmingYunnan650214China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Junyang Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Wenqiang Li
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Yongfeng Yang
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Xiaoyan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of EducationInstitutes of Physical Science and Information TechnologyAnhui UniversityHefeiAnhui230601China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Jinfeng Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Yixing Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Kaiqin Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Jiao Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Di Huang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Rui Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Luxian Lv
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Xiong‐Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
- Center for Excellence in Animal Evolution and GeneticsChinese Academy of SciencesKunmingYunnan650204China
- KIZ‐CUHK Joint Laboratory of Bioresources and Molecular Research in Common DiseasesKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
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20
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Navakkode S, Zhai J, Wong YP, Li G, Soong TW. Enhanced long-term potentiation and impaired learning in mice lacking alternative exon 33 of Ca V1.2 calcium channel. Transl Psychiatry 2022; 12:1. [PMID: 35013113 PMCID: PMC8748671 DOI: 10.1038/s41398-021-01683-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/25/2021] [Accepted: 09/13/2021] [Indexed: 12/14/2022] Open
Abstract
The CACNA1C (calcium voltage-gated channel subunit alpha 1 C) gene that encodes the CaV1.2 channel is a prominent risk gene for neuropsychiatric and neurodegenerative disorders with cognitive and social impairments like schizophrenia, bipolar disorders, depression and autistic spectrum disorders (ASD). We have shown previously that mice with exon 33 deleted from CaV1.2 channel (CaV1.2-exon 33-/-) displayed increased CaV1.2 current density and single channel open probability in cardiomyocytes, and were prone to develop arrhythmia. As Ca2+ entry through CaV1.2 channels activates gene transcription in response to synaptic activity, we were intrigued to explore the possible role of Cav1.2Δ33 channels in synaptic plasticity and behaviour. Homozygous deletion of alternative exon 33 resulted in enhanced long-term potentiation (LTP), and lack of long- term depression (LTD), which did not correlate with enhanced learning. Exon 33 deletion also led to a decrease in social dominance, sociability and social novelty. Our findings shed light on the effect of gain-of-function of CaV1.2Δ33 signalling on synaptic plasticity and behaviour and provides evidence for a link between CaV1.2 and distinct cognitive and social behaviours associated with phenotypic features of psychiatric disorders like schizophrenia, bipolar disorder and ASD.
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Affiliation(s)
- Sheeja Navakkode
- grid.4280.e0000 0001 2180 6431Department of Physiology, National University of Singapore, Singapore, Singapore ,grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Jing Zhai
- grid.4280.e0000 0001 2180 6431Department of Physiology, National University of Singapore, Singapore, Singapore
| | - Yuk Peng Wong
- grid.4280.e0000 0001 2180 6431Department of Physiology, National University of Singapore, Singapore, Singapore
| | - Guang Li
- grid.4280.e0000 0001 2180 6431Department of Physiology, National University of Singapore, Singapore, Singapore ,grid.410578.f0000 0001 1114 4286Present Address: Key Laboratory of Medical Electrophysiology, Ministry of Education, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan China
| | - Tuck Wah Soong
- Department of Physiology, National University of Singapore, Singapore, Singapore. .,Healthy Longevity Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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21
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Liu J, Li S, Li X, Li W, Yang Y, Guo S, Lv L, Xiao X, Yao YG, Guan F, Li M, Luo XJ. Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia. BMC Med 2021; 19:177. [PMID: 34380480 PMCID: PMC8359304 DOI: 10.1186/s12916-021-02039-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/17/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Over 200 schizophrenia risk loci have been identified by genome-wide association studies (GWASs). However, the majority of risk loci were identified in populations of European ancestry (EUR), potentially missing important biological insights. It is important to perform 5 GWASs in non-European populations. METHODS To identify novel schizophrenia risk loci, we conducted a GWAS in Han Chinese population (3493 cases and 4709 controls). We then performed a large-scale meta-analysis (a total of 143,438 subjects) through combining our results with previous GWASs conducted in EAS and EUR. In addition, we also carried out comprehensive post-GWAS analysis, including heritability partitioning, enrichment of schizophrenia associations in tissues and cell types, trancscriptome-wide association study (TWAS), expression quantitative trait loci (eQTL) and differential expression analysis. RESULTS We identified two new schizophrenia risk loci, including associations in SHISA9 (rs7192086, P = 4.92 × 10-08) and PES1 (rs57016637, P = 2.33 × 10-11) in Han Chinese population. A fixed-effect meta-analysis (a total of 143,438 subjects) with summary statistics from EAS and EUR identifies 15 novel genome-wide significant risk loci. Heritability partitioning with linkage disequilibrium score regression (LDSC) reveals a significant enrichment of schizophrenia heritability in conserved genomic regions, promoters, and enhancers. Tissue and cell-type enrichment analyses show that schizophrenia associations are significantly enriched in human brain tissues and several types of neurons, including cerebellum neurons, telencephalon inhibitory, and excitatory neurons. Polygenic risk score profiling reveals that GWAS summary statistics from trans-ancestry meta-analysis (EAS + EUR) improves prediction performance in predicting the case/control status of our sample. Finally, transcriptome-wide association study (TWAS) identifies risk genes whose cis-regulated expression change may have a role in schizophrenia. CONCLUSIONS Our study identifies 17 novel schizophrenia risk loci and highlights the importance and necessity of conducting genetic study in different populations. These findings not only provide new insights into genetic etiology of schizophrenia, but also facilitate to delineate the pathophysiology of schizophrenia and develop new therapeutic targets.
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Affiliation(s)
- Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China
| | - Xiaoyan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, Henan, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, 453002, Henan, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, Henan, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, 453002, Henan, China
| | - Suqin Guo
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, Henan, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, 453002, Henan, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, Henan, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, 453002, Henan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Fanglin Guan
- Department of Forensic Psychiatry, School of Medicine & Forensics, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China.
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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22
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Abdolmaleky HM, Zhou JR, Thiagalingam S. Cataloging recent advances in epigenetic alterations in major mental disorders and autism. Epigenomics 2021; 13:1231-1245. [PMID: 34318684 PMCID: PMC8738978 DOI: 10.2217/epi-2021-0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/12/2021] [Indexed: 11/21/2022] Open
Abstract
During the last two decades, diverse epigenetic modifications including DNA methylation, histone modifications, RNA editing and miRNA dysregulation have been associated with psychiatric disorders. A few years ago, in a review we outlined the most common epigenetic alterations in major psychiatric disorders (e.g., aberrant DNA methylation of DTNBP1, HTR2A, RELN, MB-COMT and PPP3CC, and increased expression of miR-34a and miR-181b). Recent follow-up studies have uncovered other DNA methylation aberrations affecting several genes in mental disorders, in addition to dysregulation of many miRNAs. Here, we provide an update on new epigenetic findings and highlight potential origin of the diversity and inconsistencies, focusing on drug effects, tissue/cell specificity of epigenetic landscape and discuss shortcomings of the current diagnostic criteria in mental disorders.
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Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, 02118 MA, USA
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02215 MA, USA
| | - Jin-Rong Zhou
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02215 MA, USA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, 02118 MA, USA
- Genetics & Genomics Graduate Program, Boston University School of Medicine, Boston, 02118 MA, USA
- Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, 02218 MA, USA
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23
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Ghafouri-Fard S, Eghtedarian R, Taheri M, Beatrix Brühl A, Sadeghi-Bahmani D, Brand S. A Review on the Expression Pattern of Non-coding RNAs in Patients With Schizophrenia: With a Special Focus on Peripheral Blood as a Source of Expression Analysis. Front Psychiatry 2021; 12:640463. [PMID: 34220567 PMCID: PMC8249727 DOI: 10.3389/fpsyt.2021.640463] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/06/2021] [Indexed: 12/14/2022] Open
Abstract
Schizophrenia is a destructive neuropsychiatric disease with a median prevalence of 4.0 per 1,000 during the whole life. Genome-wide association studies have shown the role of copy number variants (generally deletions) and certain alleles of common single nucleotide polymorphisms in the pathogenesis of schizophrenia. This disorder predominantly follows the polygenic inheritance model. Schizophrenia has also been linked with various alterations in the transcript and protein content of the brain tissue. Recent studies indicate that alterations in non-coding RNAs (ncRNAs) signature underlie a proportion of this dysregulation. High throughput microarray investigations have demonstrated momentous alterations in the expression of long non-coding RNAs (lncRNA) and microRNAs (miRNAs) in the circulation or post-mortem brain tissues of patients with schizophrenia compared with control samples. While Gomafu, PINT, GAS5, TCONS_l2_00021339, IFNG-AS1, FAS-AS1, PVT1, and TUG1 are among down-regulated lncRNAs in schizophrenia, MEG3, THRIL, HOXA-AS2, Linc-ROR, SPRY4-IT1, UCA1, and MALAT1 have been up-regulated in these patients. Moreover, several miRNAs, such as miR-30e, miR-130b, hsa-miR-130b, miR-193a-3p, hsa-miR-193a-3p, hsa-miR-181b, hsa-miR-34a, hsa-miR-346, and hsa-miR-7 have been shown to be dysregulated in blood or brain samples of patients with schizophrenia. Dysregulation of these transcripts in schizophrenia not only provides insight into the pathogenic processes of this disorder, it also suggests these transcripts could serve as diagnostic markers for schizophrenia. In the present paper, we explore the changes in the expression of miRNAs and lncRNAs in patients with schizophrenia.
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Affiliation(s)
- Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reyhane Eghtedarian
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Annette Beatrix Brühl
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
| | - Dena Sadeghi-Bahmani
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
- Exercise Neuroscience Research Laboratory, The University of Alabama at Birmingham, Birmingham, AL, United States
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Serge Brand
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Division of Sport Science and Psychosocial Health, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- Department of Psychiatry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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24
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Flynn M, Whitton L, Donohoe G, Morrison CG, Morris DW. Altered gene regulation as a candidate mechanism by which ciliopathy gene SDCCAG8 contributes to schizophrenia and cognitive function. Hum Mol Genet 2021; 29:407-417. [PMID: 31868218 DOI: 10.1093/hmg/ddz292] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/29/2019] [Accepted: 12/02/2019] [Indexed: 12/14/2022] Open
Abstract
Mutations in genes that encode centrosomal/ciliary proteins cause severe cognitive deficits, while common single-nucleotide polymorphisms in these genes are associated with schizophrenia (SZ) and cognition in genome-wide association studies. The role of these genes in neuropsychiatric disorders is unknown. The ciliopathy gene SDCCAG8 is associated with SZ and educational attainment (EA). Genome editing of SDCCAG8 caused defects in primary ciliogenesis and cilium-dependent cell signalling. Transcriptomic analysis of SDCCAG8-deficient cells identified differentially expressed genes that are enriched in neurodevelopmental processes such as generation of neurons and synapse organization. These processes are enriched for genes associated with SZ, human intelligence (IQ) and EA. Phenotypic analysis of SDCCAG8-deficent neuronal cells revealed impaired migration and neuronal differentiation. These data implicate ciliary signalling in the aetiology of SZ and cognitive dysfunction. We found that centrosomal/ciliary genes are enriched for association with IQ, suggesting altered gene regulation as a general model for neurodevelopmental impacts of centrosomal/ciliary genes.
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Affiliation(s)
- Mairéad Flynn
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland.,Centre for Chromosome Biology, School of Natural Sciences, National University of Ireland Galway, Ireland
| | - Laura Whitton
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | - Ciaran G Morrison
- Centre for Chromosome Biology, School of Natural Sciences, National University of Ireland Galway, Ireland
| | - Derek W Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
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25
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Guo S, Liu J, Li W, Yang Y, Lv L, Xiao X, Li M, Guan F, Luo XJ. Genome wide association study identifies four loci for early onset schizophrenia. Transl Psychiatry 2021; 11:248. [PMID: 33907183 PMCID: PMC8079394 DOI: 10.1038/s41398-021-01360-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/26/2021] [Accepted: 04/09/2021] [Indexed: 12/14/2022] Open
Abstract
Early onset schizophrenia (EOS, defined as first onset of schizophrenia before age 18) is a rare form of schizophrenia (SCZ). Though genome-wide association studies (GWASs) have identified multiple risk variants for SCZ, most of the cases included in these GWASs were not stratified according to their first age at onset. To date, the genetic architecture of EOS remains largely unknown. To identify the risk variants and to uncover the genetic basis of EOS, we conducted a two-stage GWAS of EOS in populations of Han Chinese ancestry in this study. We first performed a GWAS using 1,256 EOS cases and 2,661 healthy controls (referred as discovery stage). The genetic variants with a P < 1.0 × 10-04 in discovery stage were replicated in an independent sample (903 EOS cases and 3,900 controls). We identified four genome-wide significant risk loci for EOS in the combined samples (2,159 EOS cases and 6,561 controls), including 1p36.22 (rs1801133, Pmeta = 4.03 × 10-15), 1p31.1 (rs1281571, Pmeta = 4.14 × 10-08), 3p21.31 (rs7626288, Pmeta = 1.57 × 10-09), and 9q33.3 (rs592927, Pmeta = 4.01 × 10-11). Polygenic risk scoring (PRS) analysis revealed substantial genetic overlap between EOS and SCZ. These discoveries shed light on the genetic basis of EOS. Further functional characterization of the identified risk variants and genes will help provide potential targets for therapeutics and diagnostics.
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Affiliation(s)
- Suqin Guo
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002 China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
| | - Wenqiang Li
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002 China
| | - Yongfeng Yang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002 China
| | - Luxian Lv
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002 China
| | - Xiao Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223 China
| | - Ming Li
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223 China
| | - Fanglin Guan
- Department of Forensic Psychiatry, School of Medicine & Forensics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
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26
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Lambert JT, Su-Feher L, Cichewicz K, Warren TL, Zdilar I, Wang Y, Lim KJ, Haigh JL, Morse SJ, Canales CP, Stradleigh TW, Castillo Palacios E, Haghani V, Moss SD, Parolini H, Quintero D, Shrestha D, Vogt D, Byrne LC, Nord AS. Parallel functional testing identifies enhancers active in early postnatal mouse brain. eLife 2021; 10:69479. [PMID: 34605404 PMCID: PMC8577842 DOI: 10.7554/elife.69479] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/02/2021] [Indexed: 01/07/2023] Open
Abstract
Enhancers are cis-regulatory elements that play critical regulatory roles in modulating developmental transcription programs and driving cell-type-specific and context-dependent gene expression in the brain. The development of massively parallel reporter assays (MPRAs) has enabled high-throughput functional screening of candidate DNA sequences for enhancer activity. Tissue-specific screening of in vivo enhancer function at scale has the potential to greatly expand our understanding of the role of non-coding sequences in development, evolution, and disease. Here, we adapted a self-transcribing regulatory element MPRA strategy for delivery to early postnatal mouse brain via recombinant adeno-associated virus (rAAV). We identified and validated putative enhancers capable of driving reporter gene expression in mouse forebrain, including regulatory elements within an intronic CACNA1C linkage disequilibrium block associated with risk in neuropsychiatric disorder genetic studies. Paired screening and single enhancer in vivo functional testing, as we show here, represents a powerful approach towards characterizing regulatory activity of enhancers and understanding how enhancer sequences organize gene expression in the brain.
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Affiliation(s)
- Jason T Lambert
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Linda Su-Feher
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Karol Cichewicz
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Tracy L Warren
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Iva Zdilar
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Yurong Wang
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Kenneth J Lim
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Jessica L Haigh
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Sarah J Morse
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Cesar P Canales
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Tyler W Stradleigh
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Erika Castillo Palacios
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Viktoria Haghani
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Spencer D Moss
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Hannah Parolini
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Diana Quintero
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Diwash Shrestha
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
| | - Daniel Vogt
- Department of Pediatrics and Human Development, Grand Rapids Research Center, Michigan State UniversityGrand RapidsUnited States
| | - Leah C Byrne
- Helen Wills Neuroscience Institute, University of California, BerkeleyBerkeleyUnited States,Departments of Ophthalmology and Neurobiology, University of PittsburghPittsburghUnited States
| | - Alex S Nord
- Department of Psychiatry and Behavioral Sciences, University of California, DavisDavisUnited States,Department of Neurobiology, Physiology and Behavior, University of California, DavisDavisUnited States
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27
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Yeow SQZ, Loh KWZ, Soong TW. Calcium Channel Splice Variants and Their Effects in Brain and Cardiovascular Function. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1349:67-86. [DOI: 10.1007/978-981-16-4254-8_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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28
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Monroe TO, Garrett ME, Kousi M, Rodriguiz RM, Moon S, Bai Y, Brodar SC, Soldano KL, Savage J, Hansen TF, Muzny DM, Gibbs RA, Barak L, Sullivan PF, Ashley-Koch AE, Sawa A, Wetsel WC, Werge T, Katsanis N. PCM1 is necessary for focal ciliary integrity and is a candidate for severe schizophrenia. Nat Commun 2020; 11:5903. [PMID: 33214552 PMCID: PMC7677393 DOI: 10.1038/s41467-020-19637-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 10/13/2020] [Indexed: 12/30/2022] Open
Abstract
The neuronal primary cilium and centriolar satellites have functions in neurogenesis, but little is known about their roles in the postnatal brain. We show that ablation of pericentriolar material 1 in the mouse leads to progressive ciliary, anatomical, psychomotor, and cognitive abnormalities. RNAseq reveals changes in amine- and G-protein coupled receptor pathways. The physiological relevance of this phenotype is supported by decreased available dopamine D2 receptor (D2R) levels and the failure of antipsychotic drugs to rescue adult behavioral defects. Immunoprecipitations show an association with Pcm1 and D2Rs. Finally, we sequence PCM1 in two human cohorts with severe schizophrenia. Systematic modeling of all discovered rare alleles by zebrafish in vivo complementation reveals an enrichment for pathogenic alleles. Our data emphasize a role for the pericentriolar material in the postnatal brain, with progressive degenerative ciliary and behavioral phenotypes; and they support a contributory role for PCM1 in some individuals diagnosed with schizophrenia. The role of ciliary/centriolar components in the postnatal brain is unclear. Here, the authors show via ablation of Pcm1 in mice that degenerative ciliary/centriolar phenotypes induce neuroanatomical and behavioral changes. Sequencing of PCM1 in human cohorts and zebrafish in vivo complementation suggests PCM1 mutations can contribute to schizophrenia.
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Affiliation(s)
- Tanner O Monroe
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.,Advanced Center for Translational and Genetic Medicine (ACT-GeM), Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA
| | - Melanie E Garrett
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA
| | - Maria Kousi
- MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Broad Institute of MIT and Harvard, Cambridge, MA, 02139, USA
| | - Ramona M Rodriguiz
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27710, USA.,Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Sungjin Moon
- Department of Biological Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Yushi Bai
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Steven C Brodar
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Karen L Soldano
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA
| | - Jeremiah Savage
- Center for Translational Data Science, The University of Chicago, Chicago, IL, 60615, USA
| | - Thomas F Hansen
- Department of Clinical Sciences, University of Copenhagen, Copenhagen, Denmark.,Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services, Copenhagen, Denmark
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, 77030, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, 77030, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Lawrence Barak
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Patrick F Sullivan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SE-171 77, Sweden
| | - Allison E Ashley-Koch
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.,Department of Mental Health, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - William C Wetsel
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27710, USA.,Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University School of Medicine, Durham, NC, 27710, USA.,Department of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA.,Department of Neurobiology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Thomas Werge
- Department of Clinical Sciences, University of Copenhagen, Copenhagen, Denmark.,Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services, Copenhagen, Denmark.,iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark.,Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Nicholas Katsanis
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. .,Advanced Center for Translational and Genetic Medicine (ACT-GeM), Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA.
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29
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Bigdeli TB, Fanous AH, Li Y, Rajeevan N, Sayward F, Genovese G, Gupta R, Radhakrishnan K, Malhotra AK, Sun N, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Cheung KH, Gur RE, Greenwood TA, Braff DL, Achtyes ED, Buckley PF, Escamilla MA, Lehrer D, Malaspina DP, McCarroll SA, Rapaport MH, Vawter MP, Pato MT, Pato CN, Zhao H, Kosten TR, Brophy M, Pyarajan S, Shi Y, O’Leary TJ, Gleason T, Przygodzki R, Muralidhar S, Gaziano JM, Huang GD, Concato J, Siever LJ, Aslan M, Harvey PD. Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Schizophr Bull 2020; 47:517-529. [PMID: 33169155 PMCID: PMC7965063 DOI: 10.1093/schbul/sbaa133] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BIP) are debilitating neuropsychiatric disorders, collectively affecting 2% of the world's population. Recognizing the major impact of these psychiatric disorders on the psychosocial function of more than 200 000 US Veterans, the Department of Veterans Affairs (VA) recently completed genotyping of more than 8000 veterans with SCZ and BIP in the Cooperative Studies Program (CSP) #572. METHODS We performed genome-wide association studies (GWAS) in CSP #572 and benchmarked the predictive value of polygenic risk scores (PRS) constructed from published findings. We combined our results with available summary statistics from several recent GWAS, realizing the largest and most diverse studies of these disorders to date. RESULTS Our primary GWAS uncovered new associations between CHD7 variants and SCZ, and novel BIP associations with variants in Sortilin Related VPS10 Domain Containing Receptor 3 (SORCS3) and downstream of PCDH11X. Combining our results with published summary statistics for SCZ yielded 39 novel susceptibility loci including CRHR1, and we identified 10 additional findings for BIP (28 326 cases and 90 570 controls). PRS trained on published GWAS were significantly associated with case-control status among European American (P < 10-30) and African American (P < .0005) participants in CSP #572. CONCLUSIONS We have demonstrated that published findings for SCZ and BIP are robustly generalizable to a diverse cohort of US veterans. Leveraging available summary statistics from GWAS of global populations, we report 52 new susceptibility loci and improved fine-mapping resolution for dozens of previously reported associations.
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Affiliation(s)
- Tim B Bigdeli
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Ayman H Fanous
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Yuli Li
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Nallakkandi Rajeevan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Frederick Sayward
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Rishab Gupta
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Krishnan Radhakrishnan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,College of Medicine, University of Kentucky, Lexington, KY
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY,Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY
| | - Ning Sun
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Qiongshi Lu
- Department of Medicine, Yale School of Medicine, New Haven, CT,Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI
| | - Yiming Hu
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Boyang Li
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Quan Chen
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Shrikant Mane
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Perry Miller
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Kei-Hoi Cheung
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Raquel E Gur
- Departments of Psychiatry and Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA
| | | | - David L Braff
- Department of Psychiatry, University of California, La Jolla, San Diego, CA,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | | | - Eric D Achtyes
- Cherry Health and Michigan State University College of Human Medicine, Grand Rapids, MI
| | - Peter F Buckley
- School of Medicine, Virginia Commonwealth University, Richmond, VA
| | - Michael A Escamilla
- Department of Psychiatry, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX
| | - Douglas Lehrer
- Department of Psychiatry, Wright State University, Dayton, OH
| | - Dolores P Malaspina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Mark H Rapaport
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Michele T Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Carlos N Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | | | - Hongyu Zhao
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Thomas R Kosten
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Mary Brophy
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Yunling Shi
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Timothy J O’Leary
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Theresa Gleason
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Ronald Przygodzki
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - J Michael Gaziano
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | | | - Grant D Huang
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - John Concato
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Larry J Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY,University of Miami Miller School of Medicine, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Mihaela Aslan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Philip D Harvey
- Research Service Bruce W. Carter VA Medical Center, Miami, FL,Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL,To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Suite 1450 Miami, FL 33136, USA; tel: (305)-243-4094, fax: (305)-243-1619, e-mail:
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30
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Fedorenko OY, Ivanova SA. [A new look at the genetics of neurocognitive deficits in schizophrenia]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:183-192. [PMID: 32929943 DOI: 10.17116/jnevro2020120081183] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The article presents current literature data on genetic studies of neurocognitive deficit in schizophrenia, including the genes of neurotransmitter systems (dopaminergic, glutamatergic, and serotonergic); genes analyzed in genome-wide association studies (GWAS), as well as other genetic factors related to the pathophysiological mechanisms underlying schizophrenia and neurocognitive disorders.
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Affiliation(s)
- O Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,National Research Tomsk Polytechnic University, Tomsk, Russia
| | - S A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,National Research Tomsk Polytechnic University, Tomsk, Russia
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31
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Comparative eye and liver differentially expressed genes reveal monochromatic vision and cancer resistance in the shortfin mako shark (Isurus oxyrinchus). Genomics 2020; 112:4817-4826. [PMID: 32890699 DOI: 10.1016/j.ygeno.2020.08.037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 08/05/2020] [Accepted: 08/30/2020] [Indexed: 11/22/2022]
Abstract
The shortfin mako, Isurus oxyrinchus is an oceanic pelagic shark found worldwide in tropical and subtropical waters. However, the understanding of its biology at molecular level is still incipient. We sequenced the messenger RNA isolated from eye and liver tissues. De novo transcriptome yielded a total of 705,940 transcripts. A total of 3774 genes were differentially expressed (DEGs), with 1612 in the eye and 2162 in the liver. Most DEGs in the eye were related to structural and signaling functions, including nonocular and ocular opsin genes, whereas nine out of ten most overexpressed genes in the liver were related to tumor suppression, wound healing, and human diseases. Furthermore, DEGs findings provide insights on the monochromatic shark vision and a repertory of cancer-related genes, which may be insightful to elucidate shark resistance to cancer. Therefore, our results provide valuable sequence resources for future functional and population studies.
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32
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Burdick KE, Perez-Rodriguez M, Birnbaum R, Shanahan M, Larsen E, Harper C, Poskus J, Sklar P. A molecular approach to treating cognition in schizophrenia by calcium channel blockade: An open-label pilot study of the calcium-channel antagonist isradipine. Schizophr Res Cogn 2020; 21:100180. [PMID: 32455122 PMCID: PMC7235642 DOI: 10.1016/j.scog.2020.100180] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/28/2020] [Accepted: 05/02/2020] [Indexed: 11/13/2022]
Abstract
Cognitive impairment is a prominent and difficult to treat symptom in schizophrenia (SZ), which is directly related to functional disability. A variant in the gene coding for the alpha 1C subunit of L-type voltage gated calcium channel (CACNA1C) has been shown to negatively affect several neurocognitive domains. We conducted a 4-week, open label, pilot study of isradipine, a calcium channel blocker, to determine its feasibility, safety, and efficacy in improving cognition in SZ patients. Ten adults with stable SZ were started on a flexible dose of isradipine 5 mg/day (up to 10 mg/day) for 4 weeks. Weekly in-person visits tracked side effects and symptoms while neurocognition and functional capacity were assessed at baseline and week 4. There were no serious adverse events reported. Newly emergent side effects were dizziness (1 new incidence at week 4); difficulty sleeping (2 new incidences at week 4); and decreased energy (3 new incidences at week 4). 1 patient discontinued medication and was withdrawn. Treatment did not exacerbate clinical symptoms. Although power is limited, results indicate no clear benefit on neurocognition but a positive effect (baseline mean = 6.8 ± 1.3 to week 4 mean = 7.9 ± 1.1; t = 2.91, p = 0.017) on functional capacity was noted. This open label, pilot study provides preliminary evidence that isradipine is a relatively safe medication when used adjunctively in SZ patients. This study suggests that isradipine offers no clear cognitive and only minimal functional benefit; however, additional studies may be warranted in symptomatic patients, or those with specific CACNA1C genotypes.
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Affiliation(s)
| | | | | | - Megan Shanahan
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Emmett Larsen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cierra Harper
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica Poskus
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pamela Sklar
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
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33
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Wang T, Liu Z, Wang X, Bai P, Sun A, Shao Z, Luo R, Wu Z, Zhang K, Li W, Xiao W, Duan B, Wang Y, Chen B, Xing J. Identification of potential therapeutic targets in urothelial bladder carcinoma of Chinese population by targeted next-generation sequencing. Cancer Biol Ther 2020; 21:709-716. [PMID: 32449441 DOI: 10.1080/15384047.2020.1763148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Patients with urothelial carcinoma (UC) of the bladder have a high risk of death in China. However, a lack of comprehensive molecular profiling in Chinese Han population hinders the development of targeted therapies for bladder cancer. In our present study, we collected fresh bladder tumors from low-grade (T1, N0, M0, G1) non-muscle invasive bladder cancer (NMIBC) patients (n = 16) and high-grade (T2-4, N0, M0, Gx) muscle-invasive bladder cancer (MIBC) patients (n = 16) with their paired normal bladder tissues, and subjected the total genomic DNAs to targeted next-generation sequencing (NGS) for 94 cancer-associated genes. NGS results showed that 30.9% of detected genes (29/94) was mutated in 32 urothelial carcinoma bladder tissues. Furthermore, our results and ICGC database showed that FGFR3, KMT2D, TP53, KDM6A, and ARID1A were the most frequently mutated genes in UC patients. Of note, NMIBC and MIBC displayed distinguishable genomic alterations. FGFR3, KMT2D, AKT1, ARID1A, and STAG2 were the most frequently mutated genes in NMIBC patients, whereas mutations of TP53, CREBBP, FGFR3, KDM6A, KMT2D, and ARID1A were frequently detected in MIBC. Intriguingly, gene ontology and clustering analysis revealed that these frequently mutated genes were highly enriched in signaling pathways responsible for cancer development. Taken together, the mutation frequency of genes associated with UC development in NMIBC and MIBC was screened out in Chinese Han population and elucidation of the related mechanisms provides theoretical basis and technical support for the development of early diagnosis and therapeutic strategies in UC.
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Affiliation(s)
- Tao Wang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Zhengsheng Liu
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Xuegang Wang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Peide Bai
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Anran Sun
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Zhiqiang Shao
- Xiamen University Laboratory Animal Center, Xiamen University , Xiamen, China
| | - Rongtuan Luo
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Zhun Wu
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Kaiyan Zhang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Wei Li
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Wen Xiao
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Bo Duan
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Yongfeng Wang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Bin Chen
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
| | - Jinchun Xing
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University , Xiamen, China
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Dhuriya YK, Sharma D. Neuronal Plasticity: Neuronal Organization is Associated with Neurological Disorders. J Mol Neurosci 2020; 70:1684-1701. [PMID: 32504405 DOI: 10.1007/s12031-020-01555-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/13/2020] [Indexed: 12/18/2022]
Abstract
Stimuli from stressful events, attention in the classroom, and many other experiences affect the functionality of the brain by changing the structure or reorganizing the connections between neurons and their communication. Modification of the synaptic transmission is a vital mechanism for generating neural activity via internal or external stimuli. Neuronal plasticity is an important driving force in neuroscience research, as it is the basic process underlying learning and memory and is involved in many other functions including brain development and homeostasis, sensorial training, and recovery from brain injury. Indeed, neuronal plasticity has been explored in numerous studies, but it is still not clear how neuronal plasticity affects the physiology and morphology of the brain. Thus, unraveling the molecular mechanisms of neuronal plasticity is essential for understanding the operation of brain functions. In this timeline review, we discuss the molecular mechanisms underlying different forms of synaptic plasticity and their association with neurodegenerative/neurological disorders as a consequence of alterations in neuronal plasticity.
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Affiliation(s)
- Yogesh Kumar Dhuriya
- Developmental Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR) Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, 226 001, India
| | - Divakar Sharma
- Department of Biochemistry, National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Tajganj, Agra, India. .,CRF, Mass Spectrometry Laboratory, Kusuma School of Biological Sciences (KSBS), Indian Institute of Technology-Delhi (IIT-D), Delhi, 110016, India.
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Liu H, Barnes J, Pedrosa E, Herman NS, Salas F, Wang P, Zheng D, Lachman HM. Transcriptome analysis of neural progenitor cells derived from Lowe syndrome induced pluripotent stem cells: identification of candidate genes for the neurodevelopmental and eye manifestations. J Neurodev Disord 2020; 12:14. [PMID: 32393163 PMCID: PMC7212686 DOI: 10.1186/s11689-020-09317-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 04/28/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Lowe syndrome (LS) is caused by loss-of-function mutations in the X-linked gene OCRL, which codes for an inositol polyphosphate 5-phosphatase that plays a key role in endosome recycling, clathrin-coated pit formation, and actin polymerization. It is characterized by congenital cataracts, intellectual and developmental disability, and renal proximal tubular dysfunction. Patients are also at high risk for developing glaucoma and seizures. We recently developed induced pluripotent stem cell (iPSC) lines from three patients with LS who have hypomorphic variants affecting the 3' end of the gene, and their neurotypical brothers to serve as controls. METHODS In this study, we used RNA sequencing (RNA-seq) to obtain transcriptome profiles in LS and control neural progenitor cells (NPCs). RESULTS In a comparison of the patient and control NPCs (n = 3), we found 16 differentially expressed genes (DEGs) at the multiple test adjusted p value (padj) < 0.1, with nine at padj < 0.05. Using nominal p value < 0.05, 319 DEGs were detected. The relatively small number of DEGs could be due to the fact that OCRL is not a transcription factor per se, although it could have secondary effects on gene expression through several different mechanisms. Although the number of DEGs passing multiple test correction was small, those that were found are quite consistent with some of the known molecular effects of OCRL protein, and the clinical manifestations of LS. Furthermore, using gene set enrichment analysis (GSEA), we found that genes increased expression in the patient NPCs showed enrichments of several gene ontology (GO) terms (false discovery rate < 0.25): telencephalon development, pallium development, NPC proliferation, and cortex development, which are consistent with a condition characterized by intellectual disabilities and psychiatric manifestations. In addition, a significant enrichment among the nominal DEGs for genes implicated in autism spectrum disorder (ASD) was found (e.g., AFF2, DNER, DPP6, DPP10, RELN, CACNA1C), as well as several that are strong candidate genes for the development of eye problems found in LS, including glaucoma. The most notable example is EFEMP1, a well-known candidate gene for glaucoma and other eye pathologies. CONCLUSION Overall, the RNA-seq findings present several candidate genes that could help explain the underlying basis for the neurodevelopmental and eye problems seen in boys with LS.
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Affiliation(s)
- Hequn Liu
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jesse Barnes
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Erika Pedrosa
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Nathaniel S. Herman
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Franklin Salas
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Ping Wang
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Deyou Zheng
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
- Dominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Herbert M. Lachman
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, USA
- Dominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
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Foley C, Heron EA, Harold D, Walters J, Owen M, O'Donovan M, Sebat J, Kelleher E, Mooney C, Durand A, Pinto C, Cormican P, Morris D, Donohoe G, Gill M, Gallagher L, Corvin A. Identifying schizophrenia patients who carry pathogenic genetic copy number variants using standard clinical assessment: retrospective cohort study. Br J Psychiatry 2020; 216:275-279. [PMID: 31964429 DOI: 10.1192/bjp.2019.262] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Copy number variants (CNVs) play a significant role in disease pathogenesis in a small subset of individuals with schizophrenia (~2.5%). Chromosomal microarray testing is a first-tier genetic test for many neurodevelopmental disorders. Similar testing could be useful in schizophrenia. AIMS To determine whether clinically identifiable phenotypic features could be used to successfully model schizophrenia-associated (SCZ-associated) CNV carrier status in a large schizophrenia cohort. METHOD Logistic regression and receiver operating characteristic (ROC) curves tested the accuracy of readily identifiable phenotypic features in modelling SCZ-associated CNV status in a discovery data-set of 1215 individuals with psychosis. A replication analysis was undertaken in a second psychosis data-set (n = 479). RESULTS In the discovery cohort, specific learning disorder (OR = 8.12; 95% CI 1.16-34.88, P = 0.012), developmental delay (OR = 5.19; 95% CI 1.58-14.76, P = 0.003) and comorbid neurodevelopmental disorder (OR = 5.87; 95% CI 1.28-19.69, P = 0.009) were significant independent variables in modelling positive carrier status for a SCZ-associated CNV, with an area under the ROC (AUROC) of 74.2% (95% CI 61.9-86.4%). A model constructed from the discovery cohort including developmental delay and comorbid neurodevelopmental disorder variables resulted in an AUROC of 83% (95% CI 52.0-100.0%) for the replication cohort. CONCLUSIONS These findings suggest that careful clinical history taking to document specific neurodevelopmental features may be informative in screening for individuals with schizophrenia who are at higher risk of carrying known SCZ-associated CNVs. Identification of genomic disorders in these individuals is likely to have clinical benefits similar to those demonstrated for other neurodevelopmental disorders.
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Affiliation(s)
- Claire Foley
- Clinical Research Fellow, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Elizabeth A Heron
- Assistant Professor, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Denise Harold
- Assistant Professor, School of Biotechnology, Dublin City University, Ireland
| | - James Walters
- Professor, MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Michael Owen
- Director, MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Michael O'Donovan
- Professor, MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, UK
| | - Jonathan Sebat
- Chief, Beyster Center for Genomics of Psychiatric Diseases, Departments of Psychiatry, Cellular and Molecular Medicine and Pediatrics, University of California, San Diego; and Professor, Institute for Genomic Medicine, University of California, San Diego; and Department of Pediatrics, University of California, San Diego, USA
| | - Eric Kelleher
- Honorary Clinical Senior Lecturer, Department of Psychiatry and Neurobehavioural Science, University College Cork; and Visiting Research Fellow, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Christina Mooney
- HDip in Mental Health Nursing, Clinical Research Nurse, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Amy Durand
- Medical Student, University of Texas Health Science Center at Houston, McGovern Medical School, Texas, USA; and Research Assistant, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Carlos Pinto
- Research Fellow, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Paul Cormican
- Lecturer, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Derek Morris
- Lecturer, Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition and Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | - Gary Donohoe
- Professor, Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition and Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | - Michael Gill
- Professor, Head of School of Medicine, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Louise Gallagher
- Director of Research, School of Medicine, Trinity College Dublin; and Professor, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Aiden Corvin
- Professor, Head of Discipline, Neuropsychiatric Genetics Research Group, Department of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
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Rusconi F, Battaglioli E, Venturin M. Psychiatric Disorders and lncRNAs: A Synaptic Match. Int J Mol Sci 2020; 21:ijms21093030. [PMID: 32344798 PMCID: PMC7246907 DOI: 10.3390/ijms21093030] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 04/15/2020] [Accepted: 04/21/2020] [Indexed: 12/15/2022] Open
Abstract
Psychiatric disorders represent a heterogeneous class of multifactorial mental diseases whose origin entails a pathogenic integration of genetic and environmental influences. Incidence of these pathologies is dangerously high, as more than 20% of the Western population is affected. Despite the diverse origins of specific molecular dysfunctions, these pathologies entail disruption of fine synaptic regulation, which is fundamental to behavioral adaptation to the environment. The synapses, as functional units of cognition, represent major evolutionary targets. Consistently, fine synaptic tuning occurs at several levels, involving a novel class of molecular regulators known as long non-coding RNAs (lncRNAs). Non-coding RNAs operate mainly in mammals as epigenetic modifiers and enhancers of proteome diversity. The prominent evolutionary expansion of the gene number of lncRNAs in mammals, particularly in primates and humans, and their preferential neuronal expression does represent a driving force that enhanced the layering of synaptic control mechanisms. In the last few years, remarkable alterations of the expression of lncRNAs have been reported in psychiatric conditions such as schizophrenia, autism, and depression, suggesting unprecedented mechanistic insights into disruption of fine synaptic tuning underlying severe behavioral manifestations of psychosis. In this review, we integrate literature data from rodent pathological models and human evidence that proposes the biology of lncRNAs as a promising field of neuropsychiatric investigation.
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Affiliation(s)
- Francesco Rusconi
- Correspondence: (F.R.); (M.V.); Tel.: +39-02-503-30445 (F.R.); +39-02-503-30443 (M.V.)
| | | | - Marco Venturin
- Correspondence: (F.R.); (M.V.); Tel.: +39-02-503-30445 (F.R.); +39-02-503-30443 (M.V.)
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Manchia M, Pisanu C, Squassina A, Carpiniello B. Challenges and Future Prospects of Precision Medicine in Psychiatry. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2020; 13:127-140. [PMID: 32425581 PMCID: PMC7186890 DOI: 10.2147/pgpm.s198225] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 04/14/2020] [Indexed: 12/21/2022]
Abstract
Precision medicine is increasingly recognized as a promising approach to improve disease treatment, taking into consideration the individual clinical and biological characteristics shared by specific subgroups of patients. In specific fields such as oncology and hematology, precision medicine has already started to be implemented in the clinical setting and molecular testing is routinely used to select treatments with higher efficacy and reduced adverse effects. The application of precision medicine in psychiatry is still in its early phases. However, there are already examples of predictive models based on clinical data or combinations of clinical, neuroimaging and biological data. While the power of single clinical predictors would remain inadequate if analyzed only with traditional statistical approaches, these predictors are now increasingly used to impute machine learning models that can have adequate accuracy even in the presence of relatively small sample size. These models have started to be applied to disentangle relevant clinical questions that could lead to a more effective management of psychiatric disorders, such as prediction of response to the mood stabilizer lithium, resistance to antidepressants in major depressive disorder or stratification of the risk and outcome prediction in schizophrenia. In this narrative review, we summarized the most important findings in precision medicine in psychiatry based on studies that constructed machine learning models using clinical, neuroimaging and/or biological data. Limitations and barriers to the implementation of precision psychiatry in the clinical setting, as well as possible solutions and future perspectives, will be presented.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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Sardaar S, Qi B, Dionne-Laporte A, Rouleau GA, Rabbany R, Trakadis YJ. Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia. BMC Psychiatry 2020; 20:92. [PMID: 32111185 PMCID: PMC7049199 DOI: 10.1186/s12888-020-02503-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 02/17/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Machine learning (ML) algorithms and methods offer great tools to analyze large complex genomic datasets. Our goal was to compare the genomic architecture of schizophrenia (SCZ) and autism spectrum disorder (ASD) using ML. METHODS In this paper, we used regularized gradient boosted machines to analyze whole-exome sequencing (WES) data from individuals SCZ and ASD in order to identify important distinguishing genetic features. We further demonstrated a method of gene clustering to highlight which subsets of genes identified by the ML algorithm are mutated concurrently in affected individuals and are central to each disease (i.e., ASD vs. SCZ "hub" genes). RESULTS In summary, after correcting for population structure, we found that SCZ and ASD cases could be successfully separated based on genetic information, with 86-88% accuracy on the testing dataset. Through bioinformatic analysis, we explored if combinations of genes concurrently mutated in patients with the same condition ("hub" genes) belong to specific pathways. Several themes were found to be associated with ASD, including calcium ion transmembrane transport, immune system/inflammation, synapse organization, and retinoid metabolic process. Moreover, ion transmembrane transport, neurotransmitter transport, and microtubule/cytoskeleton processes were highlighted for SCZ. CONCLUSIONS Our manuscript introduces a novel comparative approach for studying the genetic architecture of genetically related diseases with complex inheritance and highlights genetic similarities and differences between ASD and SCZ.
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Affiliation(s)
- Sameer Sardaar
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Bill Qi
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Alexandre Dionne-Laporte
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Guy A Rouleau
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Reihaneh Rabbany
- School of Computer Science, McGill University, Montreal, QC, Canada
- Montreal Institute for Learning Algorithms, Université de Montréal, Montreal, QC, Canada
| | - Yannis J Trakadis
- Department of Human Genetics, McGill University, Montreal, QC, Canada.
- Department of Medical Genetics, McGill University Health Center Room A04.3140, Montreal Children's Hospital,1001 Boul. Décarie, H4A 3J1, Montreal, Quebec, Canada.
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Calabrò M, Porcelli S, Crisafulli C, Albani D, Kasper S, Zohar J, Souery D, Montgomery S, Mantovani V, Mendlewicz J, Bonassi S, Vieta E, Frustaci A, Ducci G, Landi S, Boccia S, Bellomo A, Di Nicola M, Janiri L, Colombo R, Benedetti F, Mandelli L, Fabbri C, Serretti A. Genetic variants associated with psychotic symptoms across psychiatric disorders. Neurosci Lett 2020; 720:134754. [PMID: 31945448 DOI: 10.1016/j.neulet.2020.134754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/06/2019] [Accepted: 01/11/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Recent evidence suggests that psychiatric symptoms share a common genetic liability across diagnostic categories. The present study investigated the effects of variants within previously identified relevant genes on specific symptom clusters, independently from the diagnosis. METHODS 1550 subjects affected by Schizophrenia (SCZ), Major Depressive Disorder or Bipolar Disorder were included. Symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Hamilton Depression Rating Scale (HDRS). Principal component analysis and a further clinical refinement were used to define symptom clusters. Clusters scores were tested for association with 46 genetic variants within nine genes previously linked to one or more major psychiatric disorders by large genome wide association studies (ANK3, CACNA1C, CACNB2, FKBP5, FZD3, GRM7, ITIH3, SYNE1, TCF4). Exploratory analyses were performed in each disorder separately to further elucidate the SNPs effects. RESULTS five PANSS clusters (Negative; Impulsiveness; Cognitive; Psychotic; Depressive) and four HDRS clusters (Core Depressive; Somatic; Psychotic-like; Insomnia) were identified. CACNA1C rs11615998 was associated with HDRS Psychotic cluster in the whole sample. In the SCZ sample, CACNA1C rs11062296 was associated with PANSS Impulsiveness cluster and CACNA1C rs2238062 was associated with PANSS negative cluster. DISCUSSION CACNA1C rs11615998 was associated with psychotic symptoms (C-allele carriers have decreased psychotic-risk) independently from the diagnosis, in line with the evidence of a cross disorder effect of many risk variants. This gene was previously associated with SCZ and cross-disorder liability to psychiatric disorders. Our findings confirmed that deep phenotyping is pivotal to clarify the role of genetic variants on symptoms patterns.
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Affiliation(s)
- Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | - Vilma Mantovani
- Center for Applied Biomedical Research (CRBA), St. Orsola University Hospital, Bologna, Italy
| | | | - Stefano Bonassi
- Unit of Clinical and Molecular Epidemiology, IRCCS San Raffaele Pisana, Rome, Italy; Department of Human Sciences and Quality of Life Promotion, San Raffaele University, Rome, Italy
| | - Eduard Vieta
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Alessandra Frustaci
- Barnet, Enfield and Haringey Mental Health NHS Trust, St.Ann's Hospital, St.Ann's Road, N15 3 TH, London, UK
| | | | - Stefano Landi
- Dipartimento di Biologia, Università di Pisa, Pisa, Italy
| | - Stefania Boccia
- Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italy; Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - Antonello Bellomo
- Dipartimento di Medicina Clinica e Sperimentale, Foggia University, Italy
| | - Marco Di Nicola
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luigi Janiri
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Roberto Colombo
- Division of Neuroscience, IRCCS Ospedale San Raffaele, Università Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
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Kim B, De La Monte S, Hovanesian V, Patra A, Chen X, Chen RH, Miller MC, Pinar MH, Lim YP, Stopa EG, Stonestreet BS. Ontogeny of inter-alpha inhibitor protein (IAIP) expression in human brain. J Neurosci Res 2019; 98:869-887. [PMID: 31797408 DOI: 10.1002/jnr.24565] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/11/2019] [Accepted: 11/11/2019] [Indexed: 12/19/2022]
Abstract
Inter-alpha inhibitor proteins (IAIPs) are naturally occurring immunomodulatory molecules found in most tissues. We have reported ontogenic changes in the expression of IAIPs in brain during development in sheep and abundant expression of IAIPs in fetal and neonatal rodent brain in a variety of cellular types and brain regions. Although a few studies identified bikunin, light chain of IAIPs, in adult human brain, the presence of the complete endogenous IAIP protein complex has not been reported in human brain. In this study, we examined the immunohistochemical expression of endogenous IAIPs in human cerebral cortex from early in development through the neonatal period and in adults using well-preserved postmortem brains. We examined total, nuclear, and cytoplasmic staining of endogenous IAIPs and their expression in neurofilament light polypeptide-positive neurons and glial fibrillary acidic protein (GFAP)-positive astrocytes. IAIPs were ubiquitously detected for the first time in cerebral cortical cells at 24-26, 27-28, 29-36, and 37-40 weeks of gestation and in adults. Quantitative analyses revealed that IAIPs were predominately localized in the nucleus in all age groups, but cytoplasmic IAIP expression was more abundant in adult than in the younger ages. Immunoreactivity of IAIPs was expressed in neurons and astrocytes in all age groups. In addition, IAIP co-localization with GFAP-positive astrocytes was more abundant in adults than in the developing brain. We conclude that IAIPs exhibit ubiquitous expression, and co-localize with neurons and astrocytes in the developing and adult human brain suggesting a potential role for IAIPs in development and endogenous neuroprotection.
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Affiliation(s)
- Boram Kim
- Department of Pediatrics, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Suzanne De La Monte
- Department of Neurology and Neurosurgery, Rhode Island Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Aparna Patra
- Department of Pediatrics, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Xiaodi Chen
- Department of Pediatrics, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Ray H Chen
- Department of Pediatrics, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Miles C Miller
- Department of Pathology and Neurosurgery, Rhode Island Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | - Mehmet Halit Pinar
- Department of Pathology & Laboratory Medicine, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Yow-Pin Lim
- Department of Pathology & Laboratory Medicine, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA.,ProThera Biologics, Inc., Providence, RI, USA
| | - Edward G Stopa
- Department of Pathology and Neurosurgery, Rhode Island Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | - Barbara S Stonestreet
- Department of Pediatrics, Alpert Medical School of Brown University, Women & Infants Hospital of Rhode Island, Providence, RI, USA
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42
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Kumar A, Kumar P, Pareek V, Faiq MA, Narayan RK, Raza K, Prasoon P, Sharma VK. Neurotrophin mediated HPA axis dysregulation in stress induced genesis of psychiatric disorders: Orchestration by epigenetic modifications. J Chem Neuroanat 2019; 102:101688. [DOI: 10.1016/j.jchemneu.2019.101688] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/22/2019] [Accepted: 09/26/2019] [Indexed: 12/11/2022]
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43
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Nucifora FC, Woznica E, Lee BJ, Cascella N, Sawa A. Treatment resistant schizophrenia: Clinical, biological, and therapeutic perspectives. Neurobiol Dis 2019; 131:104257. [PMID: 30170114 PMCID: PMC6395548 DOI: 10.1016/j.nbd.2018.08.016] [Citation(s) in RCA: 122] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 08/07/2018] [Accepted: 08/26/2018] [Indexed: 12/16/2022] Open
Abstract
Treatment resistant schizophrenia (TRS) refers to the significant proportion of schizophrenia patients who continue to have symptoms and poor outcomes despite treatment. While many definitions of TRS include failure of two different antipsychotics as a minimum criterion, the wide variability in inclusion criteria has challenged the consistency and reproducibility of results from studies of TRS. We begin by reviewing the clinical, neuroimaging, and neurobiological characteristics of TRS. We further review the current treatment strategies available, addressing clozapine, the first-line pharmacological agent for TRS, as well as pharmacological and non-pharmacological augmentation of clozapine including medication combinations, electroconvulsive therapy, repetitive transcranial magnetic stimulation, deep brain stimulation, and psychotherapies. We conclude by highlighting the most recent consensus for defining TRS proposed by the Treatment Response and Resistance in Psychosis Working Group, and provide our overview of future perspectives and directions that could help advance the field of TRS research, including the concept of TRS as a potential subtype of schizophrenia.
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Affiliation(s)
- Frederick C Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.
| | - Edgar Woznica
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Brian J Lee
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Nicola Cascella
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
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44
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Rammos A, Gonzalez LAN, Weinberger DR, Mitchell KJ, Nicodemus KK. The role of polygenic risk score gene-set analysis in the context of the omnigenic model of schizophrenia. Neuropsychopharmacology 2019; 44:1562-1569. [PMID: 31078131 PMCID: PMC6785707 DOI: 10.1038/s41386-019-0410-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 03/18/2019] [Accepted: 03/21/2019] [Indexed: 12/17/2022]
Abstract
A recent development in the genetic architecture of schizophrenia suggested that an omnigenic model may underlie the risk for this disorder. The aim of our study was to use polygenic profile scoring to quantitatively assess whether a number of experimentally derived sets would contribute to the disorder above and beyond the omnigenic effect. Using the PGC2 secondary analysis schizophrenia case-control cohort (N = 29,125 cases and 34,836 controls), a robust polygenic signal was observed from gene sets based on TCF4, FMR1, upregulation from MIR137 and downregulation from CHD8. Additional analyses revealed a constant floor effect in the amount of variance explained, consistent with the omnigenic model. Thus, we report that putative core gene sets showed a significant effect above and beyond the floor effect that might be linked with the underlying omnigenic background. In addition, we demonstrate a method to quantify the contribution of specific gene sets within the omnigenic context.
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Affiliation(s)
- Alexandros Rammos
- Smurfit Institute of Genetics and Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Lara A Neira Gonzalez
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Kevin J Mitchell
- Smurfit Institute of Genetics and Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
| | - Kristin K Nicodemus
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
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45
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Nanou E, Catterall WA. Calcium Channels, Synaptic Plasticity, and Neuropsychiatric Disease. Neuron 2019; 98:466-481. [PMID: 29723500 DOI: 10.1016/j.neuron.2018.03.017] [Citation(s) in RCA: 276] [Impact Index Per Article: 55.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 03/06/2018] [Accepted: 03/09/2018] [Indexed: 12/14/2022]
Abstract
Voltage-gated calcium channels couple depolarization of the cell-surface membrane to entry of calcium, which triggers secretion, contraction, neurotransmission, gene expression, and other physiological responses. They are encoded by ten genes, which generate three voltage-gated calcium channel subfamilies: CaV1; CaV2; and CaV3. At synapses, CaV2 channels form large signaling complexes in the presynaptic nerve terminal, which are responsible for the calcium entry that triggers neurotransmitter release and short-term presynaptic plasticity. CaV1 channels form signaling complexes in postsynaptic dendrites and dendritic spines, where their calcium entry induces long-term potentiation. These calcium channels are the targets of mutations and polymorphisms that alter their function and/or regulation and cause neuropsychiatric diseases, including migraine headache, cerebellar ataxia, autism, schizophrenia, bipolar disorder, and depression. This article reviews the molecular properties of calcium channels, considers their multiple roles in synaptic plasticity, and discusses their potential involvement in this wide range of neuropsychiatric diseases.
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Affiliation(s)
- Evanthia Nanou
- Department of Pharmacology, University of Washington, Seattle, WA 98195-7280, USA
| | - William A Catterall
- Department of Pharmacology, University of Washington, Seattle, WA 98195-7280, USA.
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46
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Pisanu C, Squassina A. Treatment-Resistant Schizophrenia: Insights From Genetic Studies and Machine Learning Approaches. Front Pharmacol 2019; 10:617. [PMID: 31191325 PMCID: PMC6548883 DOI: 10.3389/fphar.2019.00617] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 05/15/2019] [Indexed: 01/07/2023] Open
Abstract
Schizophrenia (SCZ) is a severe psychiatric disorder affecting approximately 23 million people worldwide. It is considered the eighth leading cause of disability according to the World Health Organization and is associated with a significant reduction in life expectancy. Antipsychotics represent the first-choice treatment in SCZ, but approximately 30% of patients fail to respond to acute treatment. These patients are generally defined as treatment-resistant and are eligible for clozapine treatment. Treatment-resistant patients show a more severe course of the disease, but it has been suggested that treatment-resistant schizophrenia (TRS) may constitute a distinct phenotype that is more than just a more severe form of SCZ. TRS is heritable, and genetics has been shown to play an important role in modulating response to antipsychotics. Important efforts have been put into place in order to better understand the genetic architecture of TRS, with the main goal of identifying reliable predictive markers that might improve the management and quality of life of TRS patients. However, the number of candidate gene and genome-wide association studies specifically focused on TRS is limited, and to date, findings do not allow the disentanglement of its polygenic nature. More recent studies implemented polygenic risk score, gene-based and machine learning methods to explore the genetics of TRS, reporting promising findings. In this review, we present an overview on the genetics of TRS, particularly focusing our discussion on studies implementing polygenic approaches.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.,Department of Neuroscience, Unit of Functional Pharmacology, Uppsala University, Uppsala, Sweden
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
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47
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Kuehner JN, Bruggeman EC, Wen Z, Yao B. Epigenetic Regulations in Neuropsychiatric Disorders. Front Genet 2019; 10:268. [PMID: 31019524 PMCID: PMC6458251 DOI: 10.3389/fgene.2019.00268] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 03/11/2019] [Indexed: 12/14/2022] Open
Abstract
Precise genetic and epigenetic spatiotemporal regulation of gene expression is critical for proper brain development, function and circuitry formation in the mammalian central nervous system. Neuronal differentiation processes are tightly regulated by epigenetic mechanisms including DNA methylation, histone modifications, chromatin remodelers and non-coding RNAs. Dysregulation of any of these pathways is detrimental to normal neuronal development and functions, which can result in devastating neuropsychiatric disorders, such as depression, schizophrenia and autism spectrum disorders. In this review, we focus on the current understanding of epigenetic regulations in brain development and functions, as well as their implications in neuropsychiatric disorders.
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Affiliation(s)
- Janise N Kuehner
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, United States
| | - Emily C Bruggeman
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, United States
| | - Zhexing Wen
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States.,Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, United States.,Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States
| | - Bing Yao
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, United States
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48
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Sayad A, Ghafouri-Fard S, Noroozi R, Omrani MD, Ganji M, Dastmalchi R, Glassy M, Taheri M. Association Study of Sequence Variants in Voltage-gated Ca2+ Channel Subunit Alpha-1C and Autism Spectrum Disorders. Rep Biochem Mol Biol 2019; 8:56-62. [PMID: 31334289 PMCID: PMC6590947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 09/25/2018] [Indexed: 06/10/2023]
Abstract
BACKGROUND Autism spectrum disorders (ASDs) (MIM 209850) are a group of distinct neurodevelopmental disorders characterized by impaired social interactions and communication abilities and abnormal repetitive activities. Many genetic variants have been shown to be associated with ASD. Channelopathies are among putative culprits in the pathogenesis of many neurodevelopmental disorders, including autism. The calcium channel, voltage-dependent, L type, alpha 1C subunit gene (CACNA1C) encodes an alpha-1 subunit of a voltage-dependent calcium channel. Genetic variants within this gene have been associated with psychiatric disorders including Autism Spectrum Disorders (ASD). Our aim was to determine whether the SNPs rs1006737, rs4765905, and rs4765913 were associated with ASD in an Iranian population. METHODS In the present case-control study we investigated the associations of rs1006737, rs4765905, and rs4765913 polymorphisms within CACNA1C and the risk of ASD in a population of 529 Iranian ASD patients and 480 age, gender, and ethnicity-matched healthy subjects. RESULTS None of these SNPs were associated with ASD risk in the assessed population. Although previous studies have shown an association between these polymorphisms and psychiatric disorders and an association between rs4765905 and ASD, we did not replicate those results in our study. CONCLUSION Our data indicate that these CACNA1C variants are not involved in the pathogenesis of ASD in the Iranian population.
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Affiliation(s)
- Arezou Sayad
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Rezvan Noroozi
- Phytochemistry Research Center, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Mir Davood Omrani
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
- Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Maziar Ganji
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Romina Dastmalchi
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
| | - Mark Glassy
- Hagiwara Institute of Health Integrated Medical Sciences Association Foundation, Oceanside, CA, United States.
| | - Mohammad Taheri
- Department of Medical Genetics, Shahid Beheshti University of Medical sciences, Tehran, Iran.
- Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical sciences, Tehran, Iran.
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Abdolmaleky HM, Gower AC, Wong CK, Cox JW, Zhang X, Thiagalingam A, Shafa R, Sivaraman V, Zhou JR, Thiagalingam S. Aberrant transcriptomes and DNA methylomes define pathways that drive pathogenesis and loss of brain laterality/asymmetry in schizophrenia and bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2019; 180:138-149. [PMID: 30468562 PMCID: PMC6386618 DOI: 10.1002/ajmg.b.32691] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 07/23/2018] [Accepted: 09/18/2018] [Indexed: 12/15/2022]
Abstract
Although the loss of brain laterality is one of the most consistent modalities in schizophrenia (SCZ) and bipolar disorder (BD), its molecular basis remains elusive. Our limited previous studies indicated that epigenetic modifications are key to the asymmetric transcriptomes of brain hemispheres. We used whole-genome expression microarrays to profile postmortem brain samples from subjects with SCZ, psychotic BD [BD[+]] or non-psychotic BD [BD(-)], or matched controls (10/group) and performed whole-genome DNA methylation (DNAM) profiling of the same samples (3-4/group) to identify pathways associated with SCZ or BD[+] and genes/sites susceptible to epigenetic regulation. qRT-PCR and quantitative DNAM analysis were employed to validate findings in larger sample sets (35/group). Gene Set Enrichment Analysis (GSEA) demonstrated that BMP signaling and astrocyte and cerebral cortex development are significantly (FDR q < 0.25) coordinately upregulated in both SCZ and BD[+], and glutamate signaling and TGFβ signaling are significantly coordinately upregulated in SCZ. GSEA also indicated that collagens are downregulated in right versus left brain of controls, but not in SCZ or BD[+] patients. Ingenuity Pathway Analysis predicted that TGFB2 is an upstream regulator of these genes (p = .0012). While lateralized expression of TGFB2 in controls (p = .017) is associated with a corresponding change in DNAM (p ≤ .023), lateralized expression and DNAM of TGFB2 are absent in SCZ or BD. Loss of brain laterality in SCZ and BD corresponds to aberrant epigenetic regulation of TGFB2 and changes in TGFβ signaling, indicating potential avenues for disease prevention/treatment.
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Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA,Nutrition/Metabolism Laboratory, BIDMC, Harvard Medical School, Boston, MA,Corresponding Authors: Hamid Mostafavi Abdolmaleky () and Sam Thiagalingam ()
| | - Adam Chapin Gower
- Clinical and Translational Science Institute, Boston University School of Medicine, Boston, MA
| | - Chen Khuan Wong
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA,Genetics & Genomics Graduate Program, Boston University School of Medicine, Boston, MA
| | - Jiayi Wu Cox
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA,Bioinformatics Graduate Program, Boston University, Boston, MA
| | - Xiaoling Zhang
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
| | - Arunthathi Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
| | | | - Vadivelu Sivaraman
- Critical Care Medicine, Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD
| | - Jin-Rong Zhou
- Nutrition/Metabolism Laboratory, BIDMC, Harvard Medical School, Boston, MA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA,Genetics & Genomics Graduate Program, Boston University School of Medicine, Boston, MA,Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, MA,Corresponding Authors: Hamid Mostafavi Abdolmaleky () and Sam Thiagalingam ()
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50
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The genetic underpinnings of callous-unemotional traits: A systematic research review. Neurosci Biobehav Rev 2019; 100:85-97. [PMID: 30817934 DOI: 10.1016/j.neubiorev.2019.02.018] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 02/22/2019] [Accepted: 02/23/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Callous-unemotional (CU) traits represent the affective features of psychopathy used to delineate youth at high risk for externalizing pathology. The genetic etiology CU traits is not currently well-understood. METHODS The current review surveyed the literature for studies on the genetic underpinnings of CU traits and integrated information from 39 genetic studies. RESULTS The results from 24 studies with quantitative data suggest that the heritability for CU traits is likely between 36-67%. A majority of the 16 molecular genetic studies focused on candidate genes in the serotonin and oxytocin systems with results that have not been well replicated. Although two genome-wide association studies have been conducted, no genome-wide significant loci have been discovered. DISCUSSION There is some evidence to suggest that the serotonin and oxytocin systems may play a role in CU traits; however, there is currently not enough evidence to implicate specific genetic mechanisms. The authors encourage researchers to continue to apply the most up-to-date and relevant methodology, specifically collaborations and consortiums using genome-wide and polygenic methods.
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