1
|
Genetic substrates of bipolar disorder risk in Latino families. Mol Psychiatry 2023; 28:154-167. [PMID: 35948660 DOI: 10.1038/s41380-022-01705-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/22/2022] [Accepted: 07/07/2022] [Indexed: 01/07/2023]
Abstract
Genetic studies of bipolar disorder (BP) have been conducted in the Latin American population, to date, in several countries, including Mexico, the United States, Costa Rica, Colombia, and, to a lesser extent, Brazil. These studies focused primarily on linkage-based designs utilizing families with multiplex cases of BP. Significant BP loci were identified on Chromosomes 18, 5 and 8, and fine mapping suggested several genes of interest underlying these linkage peaks. More recently, studies in these same pedigrees yielded significant linkage loci for BP endophenotypes, including measures of activity, sleep cycles, and personality traits. Building from findings in other populations, candidate gene association analyses in Latinos from Mexican and Central American ancestry confirmed the role of several genes (including CACNA1C and ANK3) in conferring BP risk. Although GWAS, methylation, and deep sequencing studies have only begun in these populations, there is evidence that CNVs and rare SNPs both play a role in BP risk of these populations. Large segments of the Latino populations in the Americas remain largely unstudied regarding BP genetics, but evidence to date has shown that this type of research can be successfully conducted in these populations and that the genetic underpinnings of BP in these cohorts share at least some characteristics with risk genes identified in European and other populations.
Collapse
|
2
|
Smigielski L, Jagannath V, Rössler W, Walitza S, Grünblatt E. Epigenetic mechanisms in schizophrenia and other psychotic disorders: a systematic review of empirical human findings. Mol Psychiatry 2020; 25:1718-1748. [PMID: 31907379 DOI: 10.1038/s41380-019-0601-3] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 11/05/2019] [Accepted: 11/07/2019] [Indexed: 12/26/2022]
Abstract
Schizophrenia and other psychotic disorders are highly debilitating psychiatric conditions that lack a clear etiology and exhibit polygenic inheritance underlain by pleiotropic genes. The prevailing explanation points to the interplay between predisposing genes and environmental exposure. Accumulated evidence suggests that epigenetic regulation of the genome may mediate dynamic gene-environment interactions at the molecular level by modulating the expression of psychiatric phenotypes through transcription factors. This systematic review summarizes the current knowledge linking schizophrenia and other psychotic disorders to epigenetics, based on PubMed and Web of Science database searches conducted according to the PRISMA guidelines. Three groups of mechanisms in case-control studies of human tissue (i.e., postmortem brain and bio-fluids) were considered: DNA methylation, histone modifications, and non-coding miRNAs. From the initial pool of 3,204 records, 152 studies met our inclusion criteria (11,815/11,528, 233/219, and 2,091/1,827 cases/controls for each group, respectively). Many of the findings revealed associations with epigenetic modulations of genes regulating neurotransmission, neurodevelopment, and immune function, as well as differential miRNA expression (e.g., upregulated miR-34a, miR-7, and miR-181b). Overall, actual evidence moderately supports an association between epigenetics and schizophrenia and other psychotic disorders. However, heterogeneous results and cross-tissue extrapolations call for future work. Integrating epigenetics into systems biology may critically enhance research on psychosis and thus our understanding of the disorder. This may have implications for psychiatry in risk stratification, early recognition, diagnostics, precision medicine, and other interventional approaches targeting epigenetic fingerprints.
Collapse
Affiliation(s)
- Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland. .,The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Zurich, Switzerland.
| | - Vinita Jagannath
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland.,Merck Sharp & Dohme (MSD) R&D Innovation Centre, London, UK
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Zurich, Switzerland.,Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.,Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany.,Laboratory of Neuroscience, Institute of Psychiatry, Universidade de São Paulo, São Paulo, Brazil
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland.,The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| |
Collapse
|
3
|
Boison D, Rho JM. Epigenetics and epilepsy prevention: The therapeutic potential of adenosine and metabolic therapies. Neuropharmacology 2020; 167:107741. [PMID: 31419398 PMCID: PMC7220211 DOI: 10.1016/j.neuropharm.2019.107741] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 07/08/2019] [Accepted: 08/13/2019] [Indexed: 12/20/2022]
Abstract
Prevention of epilepsy and its progression remains the most urgent need for epilepsy research and therapy development. Novel conceptual advances are required to meaningfully address this fundamental challenge. Maladaptive epigenetic changes, which include methylation of DNA and acetylation of histones - among other mechanisms, are now well recognized to play a functional role in the development of epilepsy and its progression. The methylation hypothesis of epileptogenesis suggests that changes in DNA methylation are implicated in the progression of the disease. In this context, global DNA hypermethylation is particularly associated with chronic epilepsy. Likewise, acetylation changes of histones have been linked to epilepsy development. Clinical as well as experimental evidence demonstrate that epilepsy and its progression can be prevented by metabolic and biochemical manipulations that target previously unrecognized epigenetic functions contributing to epilepsy development and maintenance of the epileptic state. This review will discuss epigenetic mechanisms implicated in epilepsy development as well as metabolic and biochemical interactions thought to drive epileptogenesis. Therefore, metabolic and biochemical mechanisms are identified as novel targets for epilepsy prevention. We will specifically discuss adenosine biochemistry as a novel therapeutic strategy to reconstruct the DNA methylome as antiepileptogenic strategy as well as metabolic mediators, such as beta-hydroxybutyrate, which affect histone acetylation. Finally, metabolic dietary interventions (such as the ketogenic diet) which have the unique potential to prevent epileptogenesis through recently identified epigenetic mechanisms will be reviewed. This article is part of the special issue entitled 'New Epilepsy Therapies for the 21st Century - From Antiseizure Drugs to Prevention, Modification and Cure of Epilepsy'.
Collapse
Affiliation(s)
- Detlev Boison
- Dept. of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, 08854, USA.
| | - Jong M Rho
- Depts. of Neurosciences and Pediatrics, University of California San Diego, Rady Children's Hospital, San Diego, CA, 92117, USA
| |
Collapse
|
4
|
Buck JM, O'Neill HC, Stitzel JA. Developmental nicotine exposure engenders intergenerational downregulation and aberrant posttranslational modification of cardinal epigenetic factors in the frontal cortices, striata, and hippocampi of adolescent mice. Epigenetics Chromatin 2020; 13:13. [PMID: 32138755 PMCID: PMC7059320 DOI: 10.1186/s13072-020-00332-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 02/19/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Maternal smoking of traditional or electronic cigarettes during pregnancy, which constitutes developmental nicotine exposure (DNE), heightens the risk of neurodevelopmental disorders including ADHD, autism, and schizophrenia in children. Modeling the intergenerationally transmissible impacts of smoking during pregnancy, we previously demonstrated that both the first- and second-generation adolescent offspring of nicotine-exposed female mice exhibit enhanced nicotine preference, hyperactivity and risk-taking behaviors, aberrant rhythmicity of home cage activity, nicotinic acetylcholine receptor and dopamine transporter dysfunction, impaired furin-mediated proBDNF proteolysis, hypocorticosteronemia-related glucocorticoid receptor hypoactivity, and global DNA hypomethylation in the frontal cortices and striata. This ensemble of multigenerational DNE-induced behavioral, neuropharmacological, neurotrophic, neuroendocrine, and DNA methylomic anomalies recapitulates the pathosymptomatology of neurodevelopmental disorders such as ADHD, autism, and schizophrenia. Further probing the epigenetic bases of DNE-induced multigenerational phenotypic aberrations, the present study examined the expression and phosphorylation of key epigenetic factors via an array of immunoblot experiments. RESULTS Data indicate that DNE confers intergenerational deficits in corticostriatal DNA methyltransferase 3A (DNMT3A) expression accompanied by downregulation of methyl-CpG-binding protein 2 (MeCP2) and histone deacetylase 2 (HDAC2) in the frontal cortices and hippocampi, while the expression of ten-eleven translocase methylcytosine dioxygenase 2 (TET2) is unaltered. Moreover, DNE evokes multigenerational abnormalities in HDAC2 (Ser394) but not MeCP2 (Ser421) phosphorylation in the frontal cortices, striata, and hippocampi. CONCLUSIONS In light of the extensive gene regulatory roles of DNMT3A, MeCP2, and HDAC2, the findings of this study that DNE elicits downregulation and aberrant posttranslational modification of these factors in both first- and second-generation DNE mice suggest that epigenetic perturbations may constitute a mechanistic hub for the intergenerational transmission of DNE-induced neurodevelopmental disorder-like phenotypes.
Collapse
Affiliation(s)
- Jordan M Buck
- Institute for Behavioral Genetics, University of Colorado, 1480 30th Street, Boulder, CO, 80309-0447, USA.
- Department of Integrative Physiology, University of Colorado, Boulder, USA.
| | - Heidi C O'Neill
- Institute for Behavioral Genetics, University of Colorado, 1480 30th Street, Boulder, CO, 80309-0447, USA
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, USA
| |
Collapse
|
5
|
Comes AL, Czamara D, Adorjan K, Anderson-Schmidt H, Andlauer TFM, Budde M, Gade K, Hake M, Kalman JL, Papiol S, Reich-Erkelenz D, Klöhn-Saghatolislam F, Schaupp SK, Schulte EC, Senner F, Juckel G, Schmauß M, Zimmermann J, Reimer J, Reininghaus E, Anghelescu IG, Konrad C, Thiel A, Figge C, von Hagen M, Koller M, Dietrich DE, Stierl S, Scherk H, Witt SH, Sivalingam S, Degenhardt F, Forstner AJ, Rietschel M, Nöthen MM, Wiltfang J, Falkai P, Schulze TG, Heilbronner U. The role of environmental stress and DNA methylation in the longitudinal course of bipolar disorder. Int J Bipolar Disord 2020; 8:9. [PMID: 32048126 PMCID: PMC7013010 DOI: 10.1186/s40345-019-0176-6] [Citation(s) in RCA: 9] [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: 09/25/2019] [Accepted: 12/18/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Stressful life events influence the course of affective disorders, however, the mechanisms by which they bring about phenotypic change are not entirely known. METHODS We explored the role of DNA methylation in response to recent stressful life events in a cohort of bipolar patients from the longitudinal PsyCourse study (n = 96). Peripheral blood DNA methylomes were profiled at two time points for over 850,000 methylation sites. The association between impact ratings of stressful life events and DNA methylation was assessed, first by interrogating methylation sites in the vicinity of candidate genes previously implicated in the stress response and, second, by conducting an exploratory epigenome-wide association analysis. Third, the association between epigenetic aging and change in stress and symptom measures over time was investigated. RESULTS Investigation of methylation signatures over time revealed just over half of the CpG sites tested had an absolute difference in methylation of at least 1% over a 1-year period. Although not a single CpG site withstood correction for multiple testing, methylation at one site (cg15212455) was suggestively associated with stressful life events (p < 1.0 × 10-5). Epigenetic aging over a 1-year period was not associated with changes in stress or symptom measures. CONCLUSIONS To the best of our knowledge, our study is the first to investigate epigenome-wide methylation across time in bipolar patients and in relation to recent, non-traumatic stressful life events. Limited and inconclusive evidence warrants future longitudinal investigations in larger samples of well-characterized bipolar patients to give a complete picture regarding the role of DNA methylation in the course of bipolar disorder.
Collapse
Affiliation(s)
- Ashley L Comes
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany. .,International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany.
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Heike Anderson-Schmidt
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075, Göttingen, Germany
| | - Till F M Andlauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany.,Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 81675, Munich, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Katrin Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075, Göttingen, Germany
| | - Maria Hake
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Farah Klöhn-Saghatolislam
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, 44791, Bochum, Germany
| | - Max Schmauß
- Department of Psychiatry and Psychotherapy, Bezirkskrankenhaus Augsburg, University of Augsburg, 86156, Augsburg, Germany
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, 26160, Bad Zwischenahn, Germany
| | - Jens Reimer
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, 8036, Graz, Austria
| | | | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, 27356, Rotenburg, Germany
| | - Andreas Thiel
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, 27356, Rotenburg, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, 26160, Oldenburg, Germany
| | - Martin von Hagen
- Clinic for Psychiatry and Psychotherapy, Clinical Center Werra-Meißner, 37269, Eschwege, Germany
| | - Manfred Koller
- Asklepios Specialized Hospital, 37081, Göttingen, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, 31135, Hildesheim, Germany.,Center für Systems Neuroscience (ZSN) Hannover, 30559, Hannover, Germany.,Department of Psychiatry, Medical School of Hannover, 30625, Hannover, Germany
| | | | - Harald Scherk
- AMEOS Clinical Center Osnabrück, 49088, Osnabrück, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany
| | - Sugirthan Sivalingam
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, 53127, Bonn, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, 53127, Bonn, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, 53127, Bonn, Germany.,Center for Human Genetics, University of Marburg, 35033, Marburg, Germany.,Department of Biomedicine, University of Basel, 4031, Basel, Switzerland.,Department of Psychiatry (UPK), University of Basel, 4002, Basel, Switzerland
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, 53127, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075, Göttingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), 37075, Göttingen, Germany.,iBiMED, Medical Sciences Department, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| |
Collapse
|
6
|
Köhler JC, Gröger N, Lesse A, Guara Ciurana S, Rether K, Fegert J, Bock J, Braun K. Early-Life Adversity Induces Epigenetically Regulated Changes in Hippocampal Dopaminergic Molecular Pathways. Mol Neurobiol 2018; 56:3616-3625. [PMID: 30173406 PMCID: PMC6476847 DOI: 10.1007/s12035-018-1199-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/26/2018] [Indexed: 12/17/2022]
Abstract
Early-life adversity (ELA) represents a major risk factor for the development of behavioral dysfunctions and mental disorders later in life. On the other hand, dependent on type, time point, and duration, ELA exposure can also induce adaptations, which result in better stress coping and resilience later in life. Guided by the hypothesis that chronic exposure to ELA results in dysfunctional brain and behavior, whereas short exposure to ELA may result in resilience, the behavioral and neurobiological consequences of long-term separation stress (LTSS) and short-term separation stress (STSS) were compared in a mouse model for ELA. In line with our hypothesis, we found that LTSS induced depressive-like behavior, whereas STSS reduced depressive-like behavioral symptoms. We then tested the hypothesis that the opposite behavioral outcomes of the two stress paradigms may be mediated by functional, epigenetically regulated changes of dopaminergic modulation in the hippocampal formation. We found that STSS exposure elevated dopamine receptor D1 (DRD1) gene expression and decreased gene expression of its downstream modulator DARPP-32 (32-kDa dopamine- and cAMP-regulated phosphoprotein), which was paralleled by decreased H3 acetylation at its gene promoter region. In contrast, LTSS elevated DARPP-32 gene expression, which was not paralleled by changes in histone acetylation and DRD1 gene expression. These findings indicate that short- and long-term neonatal exposure to ELA induces changes in dopaminergic molecular pathways, some of which are epigenetically regulated and which either alleviate or aggravate depressive-like symptoms later in life.
Collapse
Affiliation(s)
- Jana C Köhler
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany.,PG "Epigenetics and Structural Plasticity", Institute of Biology, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - N Gröger
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany
| | - A Lesse
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany
| | - S Guara Ciurana
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany
| | - K Rether
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany
| | - J Fegert
- Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm, Ulm, Germany
| | - J Bock
- PG "Epigenetics and Structural Plasticity", Institute of Biology, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Katharina Braun
- Department of Zoology/Developmental Neurobiology, Institute of Biology, Otto von Guericke University Magdeburg, Leipziger Straße 44, Bldg. 91, 39120, Magdeburg, Germany. .,Center for Behavioral Brain Sciences, Magdeburg, Germany.
| |
Collapse
|
7
|
Lee SA, Huang KC. Epigenetic profiling of human brain differential DNA methylation networks in schizophrenia. BMC Med Genomics 2016; 9:68. [PMID: 28117656 PMCID: PMC5260790 DOI: 10.1186/s12920-016-0229-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Epigenetics of schizophrenia provides important information on how the environmental factors affect the genetic architecture of the disease. DNA methylation plays a pivotal role in etiology for schizophrenia. Previous studies have focused mostly on the discovery of schizophrenia-associated SNPs or genetic variants. As postmortem brain samples became available, more and more recent studies surveyed transcriptomics of the diseases. In this study, we constructed protein-protein interaction (PPI) network using the disease associated SNP (or genetic variants), differentially expressed disease genes and differentially methylated disease genes (or promoters). By combining the different datasets and topological analyses of the PPI network, we established a more comprehensive understanding of the development and genetics of this devastating mental illness. Results We analyzed the previously published DNA methylation profiles of prefrontal cortex from 335 healthy controls and 191 schizophrenic patients. These datasets revealed 2014 CpGs identified as GWAS risk loci with the differential methylation profile in schizophrenia, and 1689 schizophrenic differential methylated genes (SDMGs) identified with predominant hypomethylation. These SDMGs, combined with the PPIs of these genes, were constructed into the schizophrenic differential methylation network (SDMN). On the SDMN, there are 10 hypermethylated SDMGs, including GNA13, CAPNS1, GABPB2, GIT2, LEFTY1, NDUFA10, MIOS, MPHOSPH6, PRDM14 and RFWD2. The hypermethylation to differential expression network (HyDEN) were constructed to determine how the hypermethylated promoters regulate gene expression. The enrichment analyses of biochemical pathways in HyDEN, including TNF alpha, PDGFR-beta signaling, TGF beta Receptor, VEGFR1 and VEGFR2 signaling, regulation of telomerase, hepatocyte growth factor receptor signaling, ErbB1 downstream signaling and mTOR signaling pathway, suggested that the malfunctioning of these pathways contribute to the symptoms of schizophrenia. Conclusions The epigenetic profiles of DNA differential methylation from schizophrenic brain samples were investigated to understand the regulatory roles of SDMGs. The SDMGs interplays with SCZCGs in a coordinated fashion in the disease mechanism of schizophrenia. The protein complexes and pathways involved in SDMN may be responsible for the etiology and potential treatment targets. The SDMG promoters are predominantly hypomethylated. Increasing methylation on these promoters is proposed as a novel therapeutic approach for schizophrenia. Electronic supplementary material The online version of this article (doi:10.1186/s12920-016-0229-y) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Sheng-An Lee
- Department of Information Management, Kainan University, Taoyuan, Taiwan
| | - Kuo-Chuan Huang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. .,Department of Nursing, Ching Kuo Institute of Management and Health, Keelung, Taiwan.
| |
Collapse
|
8
|
Lin X, Barton S, Holbrook JD. How to make DNA methylome wide association studies more powerful. Epigenomics 2016; 8:1117-29. [PMID: 27052998 PMCID: PMC5066141 DOI: 10.2217/epi-2016-0017] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 03/23/2016] [Indexed: 02/06/2023] Open
Abstract
Genome-wide association studies had a troublesome adolescence, while researchers increased statistical power, in part by increasing subject numbers. Interrogating the interaction of genetic and environmental influences raised new challenges of statistical power, which were not easily bested by the addition of subjects. Screening the DNA methylome offers an attractive alternative as methylation can be thought of as a proxy for the combined influences of genetics and environment. There are statistical challenges unique to DNA methylome data and also multiple features, which can be exploited to increase power. We anticipate the development of DNA methylome association study designs and new analytical methods, together with integration of data from other molecular species and other studies, which will boost statistical power and tackle causality. In this way, the molecular trajectories that underlie disease development will be uncovered.
Collapse
Affiliation(s)
- Xinyi Lin
- Singapore Institute for Clinical Sciences (SICS), Agency for Science & Technology Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, 117609, Singapore
| | - Sheila Barton
- MRC Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Joanna D Holbrook
- Singapore Institute for Clinical Sciences (SICS), Agency for Science & Technology Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, 117609, Singapore
| |
Collapse
|
9
|
Fries GR, Li Q, McAlpin B, Rein T, Walss-Bass C, Soares JC, Quevedo J. The role of DNA methylation in the pathophysiology and treatment of bipolar disorder. Neurosci Biobehav Rev 2016; 68:474-488. [PMID: 27328785 DOI: 10.1016/j.neubiorev.2016.06.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 06/03/2016] [Accepted: 06/12/2016] [Indexed: 12/31/2022]
Abstract
Bipolar disorder (BD) is a multifactorial illness thought to result from an interaction between genetic susceptibility and environmental stimuli. Epigenetic mechanisms, including DNA methylation, can modulate gene expression in response to the environment, and therefore might account for part of the heritability reported for BD. This paper aims to review evidence of the potential role of DNA methylation in the pathophysiology and treatment of BD. In summary, several studies suggest that alterations in DNA methylation may play an important role in the dysregulation of gene expression in BD, and some actually suggest their potential use as biomarkers to improve diagnosis, prognosis, and assessment of response to treatment. This is also supported by reports of alterations in the levels of DNA methyltransferases in patients and in the mechanism of action of classical mood stabilizers. In this sense, targeting specific alterations in DNA methylation represents exciting new treatment possibilities for BD, and the 'plastic' characteristic of DNA methylation accounts for a promising possibility of restoring environment-induced modifications in patients.
Collapse
Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA.
| | - Qiongzhen Li
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA
| | - Blake McAlpin
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA
| | - Theo Rein
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA; Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA; Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA; Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| |
Collapse
|
10
|
Lahiri DK, Maloney B, Bayon BL, Chopra N, White FA, Greig NH, Nurnberger JI. Transgenerational latent early-life associated regulation unites environment and genetics across generations. Epigenomics 2016; 8:373-87. [PMID: 26950428 DOI: 10.2217/epi.15.117] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
The origin of idiopathic diseases is still poorly understood. The latent early-life associated regulation (LEARn) model unites environmental exposures and gene expression while providing a mechanistic underpinning for later-occurring disorders. We propose that this process can occur across generations via transgenerational LEARn (tLEARn). In tLEARn, each person is a 'unit' accumulating preclinical or subclinical 'hits' as in the original LEARn model. These changes can then be epigenomically passed along to offspring. Transgenerational accumulation of 'hits' determines a sporadic disease state. Few significant transgenerational hits would accompany conception or gestation of most people, but these may suffice to 'prime' someone to respond to later-life hits. Hits need not produce symptoms or microphenotypes to have a transgenerational effect. Testing tLEARn requires longitudinal approaches. A recently proposed longitudinal epigenome/envirome-wide association study would unite genetic sequence, epigenomic markers, environmental exposures, patient personal history taken at multiple time points and family history.
Collapse
Affiliation(s)
- Debomoy K Lahiri
- Department of Psychiatry, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA.,Department of Medical & Molecular Genetics, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| | - Bryan Maloney
- Department of Psychiatry, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| | - Baindu L Bayon
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| | - Nipun Chopra
- Department of Psychiatry, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| | - Fletcher A White
- Department of Anesthesia, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| | - Nigel H Greig
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - John I Nurnberger
- Department of Psychiatry, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA.,Department of Medical & Molecular Genetics, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA
| |
Collapse
|
11
|
Teroganova N, Girshkin L, Suter CM, Green MJ. DNA methylation in peripheral tissue of schizophrenia and bipolar disorder: a systematic review. BMC Genet 2016; 17:27. [PMID: 26809779 PMCID: PMC4727379 DOI: 10.1186/s12863-016-0332-2] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 01/13/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Increasing evidence suggests the involvement of epigenetic processes in the development of schizophrenia and bipolar disorder, and recent reviews have focused on findings in post-mortem brain tissue. A systematic review was conducted to synthesise and evaluate the quality of available evidence for epigenetic modifications (specifically DNA methylation) in peripheral blood and saliva samples of schizophrenia and bipolar disorder patients in comparison to healthy controls. METHODS Original research articles using humans were identified using electronic databases. There were 33 included studies for which data were extracted and graded in duplicate on 22 items of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement, to assess methodological precision and quality of reporting. RESULTS There were 15 genome-wide and 18 exclusive candidate gene loci investigations for DNA methylation studies. A number of common genes were identified as differentially methylated in schizophrenia/bipolar disorder, which were related to reelin, brain-derived neurotrophic factor, dopamine (including the catechol-O-methyltransferase gene), serotonin and glutamate, despite inconsistent findings of hyper-, hypo-, or lack of methylation at these and other loci. The mean STROBE score of 59% suggested moderate quality of available evidence; however, wide methodological variability contributed to a lack of consistency in the way methylation levels were quantified, such that meta-analysis of the results was not possible. CONCLUSIONS Moderate quality of available evidence shows some convergence of differential methylation at some common genetic loci in schizophrenia and bipolar disorder, despite wide variation in methodology and reporting across studies. Improvement in the clarity of reporting clinical and other potential confounds would be useful in future studies of epigenetic processes in the context of exposure to environmental and other risk factors.
Collapse
Affiliation(s)
- Nina Teroganova
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia.
- Schizophrenia Research Institute, 405 Liverpool St, Darlinghurst, NSW, 2010, Australia.
| | - Leah Girshkin
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia.
- Schizophrenia Research Institute, 405 Liverpool St, Darlinghurst, NSW, 2010, Australia.
| | - Catherine M Suter
- Molecular Structural and Computational Biology Division, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, 2010, Australia.
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia.
- Schizophrenia Research Institute, 405 Liverpool St, Darlinghurst, NSW, 2010, Australia.
- Neuroscience Research Australia, Sydney, NSW, 2031, Australia.
| |
Collapse
|
12
|
Walker RM, Christoforou AN, McCartney DL, Morris SW, Kennedy NA, Morten P, Anderson SM, Torrance HS, Macdonald A, Sussmann JE, Whalley HC, Blackwood DHR, McIntosh AM, Porteous DJ, Evans KL. DNA methylation in a Scottish family multiply affected by bipolar disorder and major depressive disorder. Clin Epigenetics 2016; 8:5. [PMID: 26798408 PMCID: PMC4721115 DOI: 10.1186/s13148-016-0171-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 01/11/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a severe, familial psychiatric condition. Progress in understanding the aetiology of BD has been hampered by substantial phenotypic and genetic heterogeneity. We sought to mitigate these confounders by studying a multi-generational family multiply affected by BD and major depressive disorder (MDD), who carry an illness-linked haplotype on chromosome 4p. Within a family, aetiological heterogeneity is likely to be reduced, thus conferring greater power to detect illness-related changes. As accumulating evidence suggests that altered DNA methylation confers risk for BD and MDD, we compared genome-wide methylation between (i) affected carriers of the linked haplotype (ALH) and married-in controls (MIs), (ii) well unaffected haplotype carriers (ULH) and MI, (iii) ALH and ULH and (iv) all haplotype carriers (LH) and MI. RESULTS Nominally significant differences in DNA methylation were observed in all comparisons, with differences withstanding correction for multiple testing when the ALH or LH group was compared to the MIs. In both comparisons, we observed increased methylation at a locus in FANCI, which was accompanied by increased FANCI expression in the ALH group. FANCI is part of the Fanconi anaemia complementation (FANC) gene family, which are mutated in Fanconi anaemia and participate in DNA repair. Interestingly, several FANC genes have been implicated in psychiatric disorders. Regional analyses of methylation differences identified loci implicated in psychiatric illness by genome-wide association studies, including CACNB2 and the major histocompatibility complex. Gene ontology analysis revealed enrichment for methylation differences in neurologically relevant genes. CONCLUSIONS Our results highlight altered DNA methylation as a potential mechanism by which the linked haplotype might confer risk for mood disorders. Differences in the phenotypic outcome of haplotype carriers might, in part, arise from additional changes in DNA methylation that converge on neurologically important pathways. Further work is required to investigate the underlying mechanisms and functional consequences of the observed differences in methylation.
Collapse
Affiliation(s)
- Rosie May Walker
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Andrea Nikie Christoforou
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Daniel L. McCartney
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Stewart W. Morris
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Nicholas A. Kennedy
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Peter Morten
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Susan Maguire Anderson
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Helen Scott Torrance
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Alix Macdonald
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | | | - Heather Clare Whalley
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Douglas H. R. Blackwood
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Andrew Mark McIntosh
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
| | - David John Porteous
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
| | - Kathryn Louise Evans
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
| |
Collapse
|
13
|
Wang L, Alachkar A, Sanathara N, Belluzzi JD, Wang Z, Civelli O. A Methionine-Induced Animal Model of Schizophrenia: Face and Predictive Validity. Int J Neuropsychopharmacol 2015; 18:pyv054. [PMID: 25991655 PMCID: PMC4675974 DOI: 10.1093/ijnp/pyv054] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 05/11/2015] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Modulating the methylation process induces broad biochemical changes, some of which may be involved in schizophrenia. Methylation is in particular central to epigenesis, which is also recognized as a factor in the etiology of schizophrenia. Because methionine administration to patients with schizophrenia has been reported to exacerbate their psychotic symptoms and because mice treated with methionine exhibited social deficits and prepulse inhibition impairment, we investigated whether methionine administration could lead to behavioral changes that reflect schizophrenic symptoms in mice. METHODS l-Methionine was administered to mice twice a day for 7 days. RESULTS We found that this treatment induces behavioral responses that reflect the 3 types of schizophrenia-like symptoms (positive, negative, or cognitive deficits) as monitored in a battery of behavioral assays (locomotion, stereotypy, social interaction, forced swimming, prepulse inhibition, novel object recognition, and inhibitory avoidance). Moreover, these responses were differentially reversed by typical haloperidol and atypical clozapine antipsychotics in ways that parallel their effects in schizophrenics. CONCLUSION We thus propose the l-methionine treatment as an animal model recapitulating several symptoms of schizophrenia. We have established the face and predictive validity for this model. Our model relies on an essential natural amino acid and on an intervention that is relatively simple and time effective and may offer an additional tool for assessing novel antipsychotics.
Collapse
Affiliation(s)
| | | | | | | | | | - Olivier Civelli
- Departments of Pharmacology (Ms L. Wang, Dr Alachkar, Ms Sanathara, Dr Belluzzi, Dr Z. Wang, and Dr Civelli), Pharmaceutical Sciences (Dr Civelli), and Developmental and Cell Biology (Dr Civelli), School of Medicine, University of California, Irvine.CA.
| |
Collapse
|
14
|
Zhao Z, Li Y, Chen H, Lu J, Thompson PM, Chen J, Wang Z, Xu J, Xu C, Li X. PD_NGSAtlas: a reference database combining next-generation sequencing epigenomic and transcriptomic data for psychiatric disorders. BMC Med Genomics 2014; 7:71. [PMID: 25551368 PMCID: PMC4308070 DOI: 10.1186/s12920-014-0071-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 12/11/2014] [Indexed: 02/06/2023] Open
Abstract
Background Psychiatric disorders such as schizophrenia (SZ) and bipolar disorder (BP) are projected to lead the global disease burden within the next decade. Several lines of evidence suggest that epigenetic- or genetic-mediated dysfunction is frequently present in these disorders. To date, the inheritance patterns have been complicated by the problem of integrating epigenomic and transcriptomic factors that have yet to be elucidated. Therefore, there is a need to build a comprehensive database for storing epigenomic and transcriptomic data relating to psychiatric disorders. Description We have developed the PD_NGSAtlas, which focuses on the efficient storage of epigenomic and transcriptomic data based on next-generation sequencing and on the quantitative analyses of epigenetic and transcriptional alterations involved in psychiatric disorders. The current release of the PD_NGSAtlas contains 43 DNA methylation profiles and 37 transcription profiles detected by MeDIP-Seq and RNA-Seq, respectively, in two distinct brain regions and peripheral blood of SZ, BP and non-psychiatric controls. In addition to these data that were generated in-house, we have included, and will continue to include, published DNA methylation and gene expression data from other research groups, with a focus on psychiatric disorders. A flexible query engine has been developed for the acquisition of methylation profiles and transcription profiles for special genes or genomic regions of interest of the selected samples. Furthermore, the PD_NGSAtlas offers online tools for identifying aberrantly methylated and expressed events involved in psychiatric disorders. A genome browser has been developed to provide integrative and detailed views of multidimensional data in a given genomic context, which can help researchers understand molecular mechanisms from epigenetic and transcriptional perspectives. Moreover, users can download the methylation and transcription data for further analyses. Conclusions The PD_NGSAtlas aims to provide storage of epigenomic and transcriptomic data as well as quantitative analyses of epigenetic and transcriptional alterations involved in psychiatric disorders. The PD_NGSAtlas will be a valuable data resource and will enable researchers to investigate the pathophysiology and aetiology of disease in detail. The database is available at http://bioinfo.hrbmu.edu.cn/pd_ngsatlas/. Electronic supplementary material The online version of this article (doi:10.1186/s12920-014-0071-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Zheng Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Yongsheng Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Hong Chen
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Jianping Lu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Peter M Thompson
- Southwest Brain Bank, Department of Psychiatry, UTHSCSA, San Antonio, TX, USA.
| | - Juan Chen
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Zishan Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Chun Xu
- Department of Pediatrics, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| |
Collapse
|