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Grigoroiu-Serbanescu M, van der Veen T, Bigdeli T, Herms S, Diaconu CC, Neagu AI, Bass N, Thygesen J, Forstner AJ, Nöthen MM, McQuillin A. Schizophrenia polygenic risk scores, clinical variables and genetic pathways as predictors of phenotypic traits of bipolar I disorder. J Affect Disord 2024; 356:507-518. [PMID: 38640977 DOI: 10.1016/j.jad.2024.04.066] [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: 12/17/2023] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
AIM We investigated the predictive value of polygenic risk scores (PRS) derived from the schizophrenia GWAS (Trubetskoy et al., 2022) (SCZ3) for phenotypic traits of bipolar disorder type-I (BP-I) in 1878 BP-I cases and 2751 controls from Romania and UK. METHODS We used PRSice-v2.3.3 and PRS-CS for computing SCZ3-PRS for testing the predictive power of SCZ3-PRS alone and in combination with clinical variables for several BP-I subphenotypes and for pathway analysis. Non-linear predictive models were also used. RESULTS SCZ3-PRS significantly predicted psychosis, incongruent and congruent psychosis, general age-of-onset (AO) of BP-I, AO-depression, AO-Mania, rapid cycling in univariate regressions. A negative correlation between the number of depressive episodes and psychosis, mainly incongruent and an inverse relationship between increased SCZ3-SNP loading and BP-I-rapid cycling were observed. In random forest models comparing the predictive power of SCZ3-PRS alone and in combination with nine clinical variables, the best predictions were provided by combinations of SCZ3-PRS-CS and clinical variables closely followed by models containing only clinical variables. SCZ3-PRS performed worst. Twenty-two significant pathways underlying psychosis were identified. LIMITATIONS The combined RO-UK sample had a certain degree of heterogeneity of the BP-I severity: only the RO sample and partially the UK sample included hospitalized BP-I cases. The hospitalization is an indicator of illness severity. Not all UK subjects had complete subphenotype information. CONCLUSION Our study shows that the SCZ3-PRS have a modest clinical value for predicting phenotypic traits of BP-I. For clinical use their best performance is in combination with clinical variables.
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Affiliation(s)
- Maria Grigoroiu-Serbanescu
- Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
| | - Tracey van der Veen
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Tim Bigdeli
- SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Stefan Herms
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Human Genetics, University of Bonn, School of Medicine, University Hospital Bonn, Germany
| | | | | | - Nicholas Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Johan Thygesen
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK; Institute of Health Informatics, University College London, London, UK
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine, University Hospital Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine, University Hospital Bonn, Germany
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
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Lawn T, Giacomel A, Martins D, Veronese M, Howard M, Turkheimer FE, Dipasquale O. Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients. Commun Biol 2024; 7:689. [PMID: 38839931 PMCID: PMC11153627 DOI: 10.1038/s42003-024-06391-3] [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: 12/01/2023] [Accepted: 05/27/2024] [Indexed: 06/07/2024] Open
Abstract
Advanced methods such as REACT have allowed the integration of fMRI with the brain's receptor landscape, providing novel insights transcending the multiscale organisation of the brain. Similarly, normative modelling has allowed translational neuroscience to move beyond group-average differences and characterise deviations from health at an individual level. Here, we bring these methods together for the first time. We used REACT to create functional networks enriched with the main modulatory, inhibitory, and excitatory neurotransmitter systems and generated normative models of these networks to capture functional connectivity deviations in patients with schizophrenia, bipolar disorder (BPD), and ADHD. Substantial overlap was seen in symptomatology and deviations from normality across groups, but these could be mapped into a common space linking constellations of symptoms through to underlying neurobiology transdiagnostically. This work provides impetus for developing novel biomarkers that characterise molecular- and systems-level dysfunction at the individual level, facilitating the transition towards mechanistically targeted treatments.
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Affiliation(s)
- Timothy Lawn
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Alessio Giacomel
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Information Engineering, University of Padua, Padua, Italy
| | - Matthew Howard
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federico E Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ottavia Dipasquale
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Department of Research & Development Advanced Applications, Olea Medical, La Ciotat, France.
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3
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Paljärvi T, Herttua K, Taipale H, Lähteenvuo M, Tanskanen A, Tiihonen J. Cardiovascular mortality in bipolar disorder: Population-based cohort study. Acta Psychiatr Scand 2024. [PMID: 38826056 DOI: 10.1111/acps.13715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/26/2024] [Accepted: 05/20/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Limited evidence base on cause-specific excess cardiovascular disease (CVD) mortality in bipolar disorder (BD) is a barrier to developing preventive interventions aimed at reducing the persistent mortality gap in BD. OBJECTIVE To investigate cause-specific CVD mortality in BD. METHODS We identified all individuals aged 15+ years during 2004-2018 with a diagnosis of BD using Finnish nationwide routine data. Standardised mortality ratios (SMR) with 95% confidence intervals (CI) were calculated using the mortality rates in the general population as weights. RESULTS 53,273 individuals with BD (57% women; median age at BD diagnosis, 40 years), were followed up for 428,426 person-years (median, 8.2 years). There were 5988 deaths due to any cause, of which 26% were due to CVD. The leading cause of absolute excess CVD mortality was coronary artery disease (CAD). The leading causes of relative excess mortality were cardiomegaly (SMR, 4.51; 95% CI, 3.58-5.43), venous thromboembolism (3.03; 2.26-3.81), cardiomyopathy (2.46; 1.95-2.97), and hypertensive heart disease (2.12; 1.71-2.54). The leading causes of absolute CVD mortality showed markedly lower relative excess, including CAD (1.47; 1.34-1.61), ischaemic stroke (1.31; 1.06-1.54), and acute myocardial infarction (1.12; 0.98-1.25). Due to the higher relative excess mortality, structural and functional heart disorders contributed as much as atherosclerotic and ischaemic disorders to the absolute excess mortality. CONCLUSIONS Cardiomyopathy and hypertensive heart disease as the leading causes of relative excess mortality emphasise the contribution of structural and functional heart disorders to the overall excess mortality alongside coronary artery disease. Interventions targeted at these modifiable causes of death should be priorities in the prevention of premature excess CVD mortality in BD.
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Affiliation(s)
- Tapio Paljärvi
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Kimmo Herttua
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Heidi Taipale
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Antti Tanskanen
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jari Tiihonen
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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4
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Dickerson MR, Reed J. Pharmacogenetic testing may benefit people receiving low-dose lithium in clinical practice. J Am Assoc Nurse Pract 2024; 36:320-328. [PMID: 37882688 DOI: 10.1097/jxx.0000000000000968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 10/03/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Mental illnesses are leading causes of disability in the United States. Some evidence supports that pharmacogenetic testing may be beneficial in select populations and that lithium is beneficial for treating mood disorders and anxiety in some populations. PURPOSE This research aimed to determine whether low-dose lithium effectively decreases depression and anxiety in adults with a risk allele for CACNA1C genotypes. METHODOLOGY The study design was correlational. Fifty patients were treated at a nurse practitioner-owned clinic in Prairie Village, Kansas. Chart review was used. Adults older than 18 years diagnosed with major depressive disorder, bipolar disorder, or generalized anxiety disorder presenting with an abnormality in the CACNA1C gene single-nucleotide polymorphism rs1006737 were included in this research. Assessment tools used were the Patient Health Questionnaire-9 for depression and GAD-7 for anxiety. RESULTS Low-dose lithium significantly decreased depression by 66% ( p < .001) and anxiety by 65% ( p = <.001). There was a significant difference in pretest depression levels based on CACNA1C genotype ( p = .033). The A allele frequency was 60% higher (48%) in this population than found in general population (30%). CONCLUSIONS Low-dose lithium significantly decreased anxiety and depression compared with baseline. People with different versions of the CACNA1C genotype had responses that differed significantly. The A risk allele was 60% more common than in the general population. IMPLICATIONS This study could aid in establishing genetic testing as an effective clinical tool for treating depression and anxiety using lithium, an inexpensive and widely available medication.
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Affiliation(s)
- Michael Ray Dickerson
- University of Missouri-Kansas City, Kansas City, Missouri
- Southwest Baptist University, Springfield, Missouri
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Hino M, Kunii Y, Shishido R, Nagaoka A, Matsumoto J, Akatsu H, Hashizume Y, Hayashi H, Kakita A, Tomita H, Yabe H. Marked alteration of phosphoinositide signaling-associated molecules in postmortem prefrontal cortex with bipolar disorder. Neuropsychopharmacol Rep 2024; 44:121-128. [PMID: 38253804 PMCID: PMC10932789 DOI: 10.1002/npr2.12409] [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: 07/25/2023] [Revised: 11/21/2023] [Accepted: 11/24/2023] [Indexed: 01/24/2024] Open
Abstract
AIM The etiology of bipolar disorder (BD) remains unknown; however, lipid abnormalities in BD have received increasing attention in recent years. In this study, we examined the expression levels of enzyme proteins associated with the metabolic pathway of phosphoinositides (PIs) and their downstream effectors, protein kinase B (Akt1) and glycogen synthase kinase 3β (GSK3β), which have been assumed to be the targets of mood stabilizers such as lithium, in the postmortem brains of patients with BD. METHODS The protein expression levels of phosphatidylinositol 4-phosphate 5-kinase type-1 gamma (PIP5K1C), phosphatidylinositol 4-kinase alpha (PIK4CA), phosphatase and tensin homolog deleted from chromosome 10 (PTEN), Akt1, and GSK3β were measured using enzyme-linked immunosorbent assays and multiplex fluorescent bead-based immunoassays in the prefrontal cortex (PFC). Specifically, PTEN, Akt1, GSK3β, and PIP5K1C were measured in seven BD patients and 48 controls. Additionally, PIK4CA was analyzed in 10 cases and 34 controls. RESULTS PTEN expression levels were markedly decreased in the PFCs of patients with BD, whereas those of Akt and GSK3β were prominently elevated. Moreover, patients medicated with lithium exhibited higher Akt1 expression levels and lower PTEN expression levels in comparison with the untreated group. CONCLUSION Our results suggest that the expression levels of Akt1/GSK3β and its upstream regulator PTEN are considerably altered.
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Affiliation(s)
- Mizuki Hino
- Department of Disaster Psychiatry, International Research Institute of Disaster ScienceTohoku UniversitySendaiJapan
- Department of Neuropsychiatry, School of MedicineFukushima Medical UniversityFukushimaJapan
| | - Yasuto Kunii
- Department of Disaster Psychiatry, International Research Institute of Disaster ScienceTohoku UniversitySendaiJapan
- Department of Neuropsychiatry, School of MedicineFukushima Medical UniversityFukushimaJapan
| | - Risa Shishido
- Department of Neuropsychiatry, School of MedicineFukushima Medical UniversityFukushimaJapan
| | - Atsuko Nagaoka
- Department of Neuropsychiatry, School of MedicineFukushima Medical UniversityFukushimaJapan
| | - Junya Matsumoto
- Department of Neuropsychiatry, School of MedicineFukushima Medical UniversityFukushimaJapan
| | - Hiroyasu Akatsu
- Department of Community‐Based Medical Education/Department of Community‐Based MedicineNagoya City University Graduate School of Medical ScienceNagoyaAichiJapan
- Choju Medical Institute, Fukushimura HospitalToyohashiAichiJapan
| | - Yoshio Hashizume
- Choju Medical Institute, Fukushimura HospitalToyohashiAichiJapan
| | - Hideki Hayashi
- Department of Pathology, Brain Research InstituteNiigata UniversityNiigataJapan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research InstituteNiigata UniversityNiigataJapan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of MedicineTohoku UniversitySendaiMiyagiJapan
| | - Hirooki Yabe
- Department of Disaster Psychiatry, International Research Institute of Disaster ScienceTohoku UniversitySendaiJapan
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Mirza S, Lima CNC, Del Favero-Campbell A, Rubinstein A, Topolski N, Cabrera-Mendoza B, Kovács EHC, Blumberg HP, Richards JG, Williams AJ, Wemmie JA, Magnotta VA, Fiedorowicz JG, Gaine ME, Walss-Bass C, Quevedo J, Soares JC, Fries GR. Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder. Transl Psychiatry 2024; 14:70. [PMID: 38296944 PMCID: PMC10831084 DOI: 10.1038/s41398-024-02760-y] [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: 12/28/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 02/02/2024] Open
Abstract
Suicide attempt (SA) risk is elevated in individuals with bipolar disorder (BD), and DNA methylation patterns may serve as possible biomarkers of SA. We conducted epigenome-wide association studies (EWAS) of blood DNA methylation associated with BD and SA. DNA methylation was measured at >700,000 positions in a discovery cohort of n = 84 adults with BD with a history of SA (BD/SA), n = 79 adults with BD without history of SA (BD/non-SA), and n = 76 non-psychiatric controls (CON). EWAS revealed six differentially methylated positions (DMPs) and seven differentially methylated regions (DMRs) between BD/SA and BD/non-SA, with multiple immune-related genes implicated. There were no epigenome-wide significant differences when BD/SA and BD/non-SA were each compared to CON, and patterns suggested that epigenetics differentiating BD/SA from BD/non-SA do not differentiate BD/non-SA from CON. Weighted gene co-methylation network analysis and trait enrichment analysis of the BD/SA vs. BD/non-SA contrast further corroborated immune system involvement, while gene ontology analysis implicated calcium signalling. In an independent replication cohort of n = 48 BD/SA and n = 47 BD/non-SA, fold changes at the discovery cohort's significant sites showed moderate correlation across cohorts and agreement on direction. In both cohorts, classification accuracy for SA history among individuals with BD was highest when methylation at the significant CpG sites as well as information from clinical interviews were combined, with an AUC of 88.8% (CI = 83.8-93.8%) and 82.1% (CI = 73.6-90.5%) for the combined epigenetic-clinical classifier in the discovery and replication cohorts, respectively. Our results provide novel insight to the role of immune system functioning in SA and BD and also suggest that integrating information from multiple levels of analysis holds promise to improve risk assessment for SA in adults with BD.
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Affiliation(s)
- Salahudeen Mirza
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
- Institute of Child Development, University of Minnesota, 55455, Minneapolis, MN, USA
- Department of Psychiatry, Yale School of Medicine, 06510, New Haven, CT, USA
| | - Camila N C Lima
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
| | - Alexandra Del Favero-Campbell
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
| | - Alexandre Rubinstein
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
| | - Natasha Topolski
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054, Houston, TX, USA
| | | | - Emese H C Kovács
- Department of Neuroscience and Pharmacology, The University of Iowa, 51 Newton Rd, 52242, Iowa City, IA, USA
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, 06510, New Haven, CT, USA
| | - Jenny Gringer Richards
- Department of Radiology, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
| | - Aislinn J Williams
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, 169 Newton Rd, 52242, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, 169 Newton Rd, 52242, Iowa City, IA, USA
- Department of Veterans Affairs Medical Center, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Radiology, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
| | - Jess G Fiedorowicz
- University of Ottawa Brain and Mind Research Institute, Ottawa Hospital Research Institute, 501 Smyth, K1H 8L6, Ottawa, ON, Canada
| | - Marie E Gaine
- Iowa Neuroscience Institute, The University of Iowa, 169 Newton Rd, 52242, Iowa City, IA, USA
- Pharmaceutical Sciences and Experimental Therapeutics, The University of Iowa, 180 South Grand Ave, 52242, Iowa City, IA, USA
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054, Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054, Houston, TX, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
- Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, 1941 East Rd, 77054, Houston, TX, USA
| | - Jair C Soares
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054, Houston, TX, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
| | - Gabriel R Fries
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054, Houston, TX, USA.
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054, Houston, TX, USA.
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA.
- Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, 1941 East Rd, 77054, Houston, TX, USA.
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7
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Perrottelli A, Marzocchi FF, Caporusso E, Giordano GM, Giuliani L, Melillo A, Pezzella P, Bucci P, Mucci A, Galderisi S. Advances in the understanding of the pathophysiology of schizophrenia and bipolar disorder through induced pluripotent stem cell models. J Psychiatry Neurosci 2024; 49:E109-E125. [PMID: 38490647 PMCID: PMC10950363 DOI: 10.1503/jpn.230112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 08/04/2023] [Accepted: 01/08/2024] [Indexed: 03/17/2024] Open
Abstract
The pathophysiology of schizophrenia and bipolar disorder involves a complex interaction between genetic and environmental factors that begins in the early stages of neurodevelopment. Recent advancements in the field of induced pluripotent stem cells (iPSCs) offer a promising tool for understanding the neurobiological alterations involved in these disorders and, potentially, for developing new treatment options. In this review, we summarize the results of iPSC-based research on schizophrenia and bipolar disorder, showing disturbances in neurodevelopmental processes, imbalance in glutamatergic-GABAergic transmission and neuromorphological alterations. The limitations of the reviewed literature are also highlighted, particularly the methodological heterogeneity of the studies, the limited number of studies developing iPSC models of both diseases simultaneously, and the lack of in-depth clinical characterization of the included samples. Further studies are needed to advance knowledge on the common and disease-specific pathophysiological features of schizophrenia and bipolar disorder and to promote the development of new treatment options.
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Affiliation(s)
| | | | | | | | - Luigi Giuliani
- From the University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Antonio Melillo
- From the University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Paola Bucci
- From the University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Armida Mucci
- From the University of Campania "Luigi Vanvitelli", Naples, Italy
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8
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Wang Z, Lin X, Luo X, Xiao J, Zhang Y, Xu J, Wang S, Zhao F, Wang H, Zheng H, Zhang W, Lin C, Tan Z, Cao L, Wang Z, Tan Y, Chen W, Cao Y, Guo X, Pittenger C, Luo X. Pleiotropic Association of CACNA1C Variants With Neuropsychiatric Disorders. Schizophr Bull 2023; 49:1174-1184. [PMID: 37306960 PMCID: PMC10483336 DOI: 10.1093/schbul/sbad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Neuropsychiatric disorders are highly heritable and have overlapping genetic underpinnings. Single nucleotide polymorphisms (SNPs) in the gene CACNA1C have been associated with several neuropsychiatric disorders, across multiple genome-wide association studies. METHOD A total of 70,711 subjects from 37 independent cohorts with 13 different neuropsychiatric disorders were meta-analyzed to identify overlap of disorder-associated SNPs within CACNA1C. The differential expression of CACNA1C mRNA in five independent postmortem brain cohorts was examined. Finally, the associations of disease-sharing risk alleles with total intracranial volume (ICV), gray matter volumes (GMVs) of subcortical structures, cortical surface area (SA), and average cortical thickness (TH) were tested. RESULTS Eighteen SNPs within CACNA1C were nominally associated with more than one neuropsychiatric disorder (P < .05); the associations shared among schizophrenia, bipolar disorder, and alcohol use disorder survived false discovery rate correction (five SNPs with P < 7.3 × 10-4 and q < 0.05). CACNA1C mRNA was differentially expressed in brains from individuals with schizophrenia, bipolar disorder, and Parkinson's disease, relative to controls (three SNPs with P < .01). Risk alleles shared by schizophrenia, bipolar disorder, substance dependence, and Parkinson's disease were significantly associated with ICV, GMVs, SA, or TH (one SNP with P ≤ 7.1 × 10-3 and q < 0.05). CONCLUSION Integrating multiple levels of analyses, we identified CACNA1C variants associated with multiple psychiatric disorders, and schizophrenia and bipolar disorder were most strongly implicated. CACNA1C variants may contribute to shared risk and pathophysiology in these conditions.
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Affiliation(s)
- Zuxing Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, 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
| | - Xiandong Lin
- Laboratory of Radiation Oncology and Radiobiology, Fujian Provincial Cancer Hospital, the Teaching Hospital of Fujian Medical University, Fuzhou, Fujian 350014, China
| | - Xinqun Luo
- Department of Neurosurgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Jun Xiao
- 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
| | - Yong Zhang
- Tianjin Mental Health Center, Tianjin 300180, China
| | - Jianying Xu
- Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong 519000, China
| | - Shibin Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Fen Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Huifen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Hangxiao Zheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Wei Zhang
- Department of Pharmacology, Institute of Chinese Integrative Medicine, Hebei Medical University, Shijiazhuang, 050017, P. R. China
| | - Chen Lin
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Zewen Tan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Zhiren Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Wenzhong Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Yuping Cao
- Department of Psychiatry, Second Xiangya Hospital, Central South University; China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Changsha, Hunan 410011, China
| | - Xiaoyun Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, US
| | - Christopher Pittenger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, US
| | - Xingguang Luo
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
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9
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Grezenko H, Ekhator C, Nwabugwu NU, Ganga H, Affaf M, Abdelaziz AM, Rehman A, Shehryar A, Abbasi FA, Bellegarde SB, Khaliq AS. Epigenetics in Neurological and Psychiatric Disorders: A Comprehensive Review of Current Understanding and Future Perspectives. Cureus 2023; 15:e43960. [PMID: 37622055 PMCID: PMC10446850 DOI: 10.7759/cureus.43960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2023] [Indexed: 08/26/2023] Open
Abstract
The burgeoning field of epigenetics offers transformative insights into the complex landscape of neurological and psychiatric disorders. By unraveling the intricate interplay between genetic, epigenetic, environmental, and lifestyle factors, this comprehensive review highlights the multifaceted nature of mental health. The exploration reveals the potential of epigenetic modifications to revolutionize our understanding, diagnosis, treatment, and prevention of these disorders. Emphasizing the importance of multidisciplinary collaborations, large-scale studies, technological advancements, and ethical considerations, the review asserts the promise of epigenetics as a vital tool for personalized medicine, early intervention, and public health strategies. While acknowledging the challenges in a still-emerging field, the review paints an optimistic picture of epigenetics as a groundbreaking approach that can reshape mental healthcare, offering hope for those affected by neurological and psychiatric conditions. The future trajectory of the field relies on interdisciplinary efforts, ethical diligence, innovative technologies, and translating scientific insights into real-world applications, thereby unlocking the vast potential of epigenetics in mental health.
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Affiliation(s)
- Han Grezenko
- Translational Neuroscience, Barrow Neurological Institute, Phoenix, USA
| | - Chukwuyem Ekhator
- Neuro-Oncology, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, USA
| | - Nkechi U Nwabugwu
- Public Health, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | | | - Maryam Affaf
- Internal Medicine, Women Medical College, Abbottabad, PAK
| | - Ali M Abdelaziz
- Internal Medicine, Alexandria University Faculty of Medicine, Alexandria, EGY
| | | | | | - Fatima A Abbasi
- Cardiology, Shifa International Hospital Islamabad, Islamabad, PAK
| | - Sophia B Bellegarde
- Pathology and Laboratory Medicine, American University of Antigua, St. John's, ATG
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10
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Mirza S, de Carvalho Lima CN, Del Favero-Campbell A, Rubinstein A, Topolski N, Cabrera-Mendoza B, Kovács EH, Blumberg HP, Richards JG, Williams AJ, Wemmie JA, Magnotta VA, Fiedorowicz JG, Gaine ME, Walss-Bass C, Quevedo J, Soares JC, Fries GR. Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.20.23292968. [PMID: 37546994 PMCID: PMC10402220 DOI: 10.1101/2023.07.20.23292968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Suicide attempt (SA) risk is elevated in individuals with bipolar disorder (BD), and DNA methylation patterns may serve as possible biomarkers of SA. We conducted epigenome-wide association studies (EWAS) of blood DNA methylation associated with BD and SA. DNA methylation was measured at > 700,000 positions in a discovery cohort of n = 84 adults with BD with a history of SA (BD/SA), n = 79 adults with BD without history of SA (BD/non-SA), and n = 76 non-psychiatric controls (CON). EWAS revealed six differentially methylated positions (DMPs) and seven differentially methylated regions (DMRs) between BD/SA and BD/non-SA, with multiple immune-related genes implicated. There were no epigenome-wide significant differences when BD/SA and BD/non-SA were each compared to CON, and patterns suggested that epigenetics differentiating BD/SA from BD/non-SA do not differentiate BD/non-SA from CON. Weighted gene co-methylation network analysis and trait enrichment analysis of the BD/SA vs. BD/non-SA contrast further corroborated immune system involvement, while gene ontology analysis implicated calcium signalling. In an independent replication cohort of n = 48 BD/SA and n = 47 BD/non-SA, fold-changes at the discovery cohort's significant sites showed moderate correlation across cohorts and agreement on direction. In both cohorts, classification accuracy for SA history among individuals with BD was highest when methylation at the significant CpG sites as well as information from clinical interviews were combined, with an AUC of 88.8% (CI = 83.8-93.8%) and 82.1% (CI = 73.6-90.5%) for the combined epigenetic-clinical predictor in the discovery and replication cohorts, respectively. Our results provide novel insight to the role of immune system functioning in SA and BD and also suggest that integrating information from multiple levels of analysis holds promise to improve risk assessment for SA in adults with BD.
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Affiliation(s)
- Salahudeen Mirza
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Institute of Child Development, University of Minnesota, 55455 Minneapolis, Minnesota, USA
| | - Camila N. de Carvalho Lima
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
| | - Alexandra Del Favero-Campbell
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
| | - Alexandre Rubinstein
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
| | - Natasha Topolski
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054 Houston, Texas, USA
| | | | - Emese H.C. Kovács
- Department of Neuroscience and Pharmacology, The University of Iowa, 51 Newton Rd, 52242 Iowa City, Iowa, USA
| | - Hilary P. Blumberg
- Department of Psychiatry, Yale School of Medicine, 06510 New Haven, Connecticut, USA
| | - Jenny Gringer Richards
- Department of Radiology, The University of Iowa. 200 Hawkins Dr, 52242 Iowa City, Iowa, USA
| | - Aislinn J. Williams
- Department of Psychiatry, The University of Iowa. 200 Hawkins Dr, 52242 Iowa City, Iowa, USA
- Iowa Neuroscience Institute, The University of Iowa. 169 Newton Rd, 52242 Iowa City, Iowa USA
| | - John A. Wemmie
- Department of Psychiatry, The University of Iowa. 200 Hawkins Dr, 52242 Iowa City, Iowa, USA
- Iowa Neuroscience Institute, The University of Iowa. 169 Newton Rd, 52242 Iowa City, Iowa USA
- Department of Veterans Affairs Medical Center, Iowa City, Iowa, USA
| | - Vincent A. Magnotta
- Department of Radiology, The University of Iowa. 200 Hawkins Dr, 52242 Iowa City, Iowa, USA
- Department of Psychiatry, The University of Iowa. 200 Hawkins Dr, 52242 Iowa City, Iowa, USA
| | - Jess G. Fiedorowicz
- University of Ottawa Brain and Mind Research Institute, Ottawa Hospital Research Institute. 501 Smyth, K1H 8L6, Ottawa, Ontario, Canada
| | - Marie E. Gaine
- Iowa Neuroscience Institute, The University of Iowa. 169 Newton Rd, 52242 Iowa City, Iowa USA
- Pharmaceutical Sciences and Experimental Therapeutics, The University of Iowa, 180 South Grand Ave, 52242, Iowa City, Iowa, USA
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054 Houston, Texas, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054 Houston, Texas, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, Texas, USA
| | - Jair C. Soares
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054 Houston, Texas, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, Texas, USA
| | - Gabriel R. Fries
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), 77054 Houston, Texas, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 77054 Houston, Texas, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, Texas, USA
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Wang M, Ren C, Wang P, Cheng X, Chen Y, Huang Y, Chen J, Sun Z, Wang Q, Zhang Z. Microbiome–Metabolome Reveals the Contribution of the Gut–Testis Axis to Sperm Motility in Sheep (Ovis aries). Animals (Basel) 2023; 13:ani13060996. [PMID: 36978536 PMCID: PMC10044597 DOI: 10.3390/ani13060996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
A close association exists among testicular function, gut microbiota regulation, and organismal metabolism. In this study, serum and seminal plasma metabolomes, and the rumen microbiome of sheep with significant differences in sperm viability, were explored. Serum and seminal plasma metabolomes differed significantly between high-motility (HM) and low-motility (LM) groups of sheep, and 39 differential metabolites closely related to sperm motility in sheep were found in seminal plasma metabolomes, while 35 were found in serum samples. A 16S rRNA sequence analysis showed that the relative abundance of HM and LM rumen microorganisms, such as Ruminococcus and Quinella, was significantly higher in the HM group, whereas genera such as Rikenellaceae_RC9_gut_group and Lactobacillus were enriched in the mid-LM group. Serum hormone assays revealed that serum follicle-stimulating hormone (FSH) and MT levels were significantly lower in the LM group than in the HM group, whereas serum glucocorticoid (GC) levels were higher in the LM group than in the HM group, and they all affected sperm motility in sheep. Ruminococcus and other rumen microorganisms were positively correlated with sperm motility, whereas Lactobacillus was negatively correlated with FSH and GCs levels. Our findings suggest that rumen microbial activity can influence the host metabolism and hormone levels associated with fertility in sheep.
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Affiliation(s)
- Mingming Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Chunhuan Ren
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Penghui Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xiao Cheng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Yale Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Yafeng Huang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Jiahong Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Modern Agricultural Technology Cooperation and Popularization Center of Dingyuan County, Chuzhou 233200, China
| | - Zhipeng Sun
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Qiangjun Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (Q.W.); (Z.Z.)
| | - Zijun Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Modern Agricultural Technology Cooperation and Popularization Center of Dingyuan County, Chuzhou 233200, China
- Correspondence: (Q.W.); (Z.Z.)
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12
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Guillen-Burgos H, Moreno-Lopez S, Acevedo-Vergara K, Pérez-Florez M, Pachón-Garcia C, Gálvez-Flórez JF. Risk of childhood trauma exposure and severity of bipolar disorder in Colombia. Int J Bipolar Disord 2023; 11:7. [PMID: 36763206 PMCID: PMC9918651 DOI: 10.1186/s40345-023-00289-5] [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: 09/21/2022] [Accepted: 02/01/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Bipolar disorder (BD) is higher in developing countries. Childhood trauma exposure is a common environmental risk factor in Colombia and might be associated with a more severe course of bipolar disorder in Low-Middle Income-Countries. We carried out the first case-control study in Colombia using a structural clinical interview and the Childhood Trauma Questionnaire-Short Form (CTQ-SF) to describe the prevalence and association between trauma exposure during childhood with a severe course of illness (early age onset, rapid cycling, ideation or suicide attempt, or ≥ 3 hospitalization) in a sample of BD patients. RESULTS A total of 114 cases and 191 controls evaluated showed the following results. Cases included 61.4% BD type I and 38.6% BD type II. The median age was 31.5 years (IQR, 75-24) for BD patients and 31 years old (IQR, 38-24) for healthy controls. A higher prevalence of childhood trauma was evidenced in cases compared to controls. Emotional abuse, physical abuse, sexual abuse, physical neglect and emotional neglect evidenced a strong association with severe bipolar disorder (OR = 3.42, p < .001; OR = 4.68, p < .001; OR = 4.30, p = .003; OR = 5.10, p < .001; OR = 5.64, p < .001, respectively). CONCLUSIONS This is the first association study between childhood trauma exposure as a higher risk for a severe course of illness in BD patients in Colombian. Our findings highlight the higher prevalence of childhood trauma in bipolar patients and the strong association of childhood trauma with severe bipolar disorder. These findings are relevant for screening and evaluating childhood trauma exposure during the course of BD patients.
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Affiliation(s)
- Hernán Guillen-Burgos
- Center for Clinical and Translational Research, La Misericordia Clinica Internacional, Barranquilla, Colombia. .,School of Health Science, Universidad Simon Bolivar, Carrera 54 No 64-222, Barranquilla, Colombia. .,Instituto Cardiovascular del Cesar, Valledupar, Colombia.
| | - Sergio Moreno-Lopez
- grid.7247.60000000419370714School of Medicine, Universidad de Los Andes, Bogotá, Colombia ,Otolaryngology and Allergology Research Group, Unidad Médico Quirúrgica de Otorrinolaringología (UNIMEQ‐ORL), Bogotá, Colombia
| | - Kaleb Acevedo-Vergara
- Center for Clinical and Translational Research, La Misericordia Clinica Internacional, Barranquilla, Colombia
| | - Manuel Pérez-Florez
- Center for Clinical and Translational Research, La Misericordia Clinica Internacional, Barranquilla, Colombia
| | - Catherine Pachón-Garcia
- Center for Clinical and Translational Research, La Misericordia Clinica Internacional, Barranquilla, Colombia
| | - Juan Francisco Gálvez-Flórez
- Center for Clinical and Translational Research, La Misericordia Clinica Internacional, Barranquilla, Colombia ,Zerenia Clinics, Bogotá, Colombia ,Latin American Society of Liaison Psychiatry (SOLAPSIQUE), Bogotá, Colombia
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13
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The Role of MEF2 Transcription Factor Family in Neuronal Survival and Degeneration. Int J Mol Sci 2023; 24:ijms24043120. [PMID: 36834528 PMCID: PMC9963821 DOI: 10.3390/ijms24043120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/15/2023] [Accepted: 02/01/2023] [Indexed: 02/09/2023] Open
Abstract
The family of myocyte enhancer factor 2 (MEF2) transcription factors comprises four highly conserved members that play an important role in the nervous system. They appear in precisely defined time frames in the developing brain to turn on and turn off genes affecting growth, pruning and survival of neurons. MEF2s are known to dictate neuronal development, synaptic plasticity and restrict the number of synapses in the hippocampus, thus affecting learning and memory formation. In primary neurons, negative regulation of MEF2 activity by external stimuli or stress conditions is known to induce apoptosis, albeit the pro or antiapoptotic action of MEF2 depends on the neuronal maturation stage. By contrast, enhancement of MEF2 transcriptional activity protects neurons from apoptotic death both in vitro and in preclinical models of neurodegenerative diseases. A growing body of evidence places this transcription factor in the center of many neuropathologies associated with age-dependent neuronal dysfunctions or gradual but irreversible neuron loss. In this work, we discuss how the altered function of MEF2s during development and in adulthood affecting neuronal survival may be linked to neuropsychiatric disorders.
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Pålsson E, Melchior L, Lindwall Sundel K, Karanti A, Joas E, Nordenskjöld A, Agestam M, Runeson B, Landén M. Cohort profile: the Swedish National Quality Register for bipolar disorder(BipoläR). BMJ Open 2022; 12:e064385. [PMID: 36600380 PMCID: PMC9743376 DOI: 10.1136/bmjopen-2022-064385] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE The Swedish National Quality Register for bipolar affective disorder, BipoläR, was established in 2004 to provide nationwide indicators for quality assessment and development in the clinical care of individuals with bipolar spectrum disorder. An ancillary aim was to provide data for bipolar disorder research. PARTICIPANTS Inclusion criteria for registration in BipoläR is a diagnosis of bipolar spectrum disorder (ICD codes: F25.0, F30.1-F30.2, F30.8-F31.9, F34.0) and treatment at an outpatient clinic in Sweden. BipoläR collects data from baseline and annual follow-up visits throughout Sweden. Data is collected using questionnaires administered by healthcare staff. The questions cover sociodemographic, diagnostic, treatment, outcomes and patient reported outcome variables. The register currently includes 39 583 individual patients with a total of 75 423 baseline and follow-up records. FINDINGS TO DATE Data from BipoläR has been used in several peer-reviewed publications. Studies have provided knowledge on effectiveness, side effects and use of pharmacological and psychological treatment in bipolar disorder. In addition, findings on the diagnosis of bipolar disorder, risk factors for attempted and completed suicide and health economics have been reported. The Swedish Bipolar Collection project has contributed to a large number of published studies and provides important information on the genetic architecture of bipolar disorder, the impact of genetic variation on disease characteristics and treatment outcome. FUTURE PLANS Data collection is ongoing with no fixed end date. Currently, approximately 5000 new registrations are added each year. Cohort data are available via a formalised request procedure from Centre of Registers Västra Götaland (e-mail: registercentrum@vgregion.se). Data requests for research purposes require an entity responsible for the research and an ethical approval.
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Affiliation(s)
- Erik Pålsson
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Lydia Melchior
- Bipolarmottagning, Sahlgrenska University Hospital, Goteborg, Sweden
| | | | - Alina Karanti
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Erik Joas
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Axel Nordenskjöld
- University Health Care Research Centre, Faculty of Medicine and Health, Orebro Universitet, Orebro, Sweden
| | | | - Bo Runeson
- Psychiatry, Karolinska Institute, Stockholm, Sweden
| | - Mikael Landén
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Ochneva A, Zorkina Y, Abramova O, Pavlova O, Ushakova V, Morozova A, Zubkov E, Pavlov K, Gurina O, Chekhonin V. Protein Misfolding and Aggregation in the Brain: Common Pathogenetic Pathways in Neurodegenerative and Mental Disorders. Int J Mol Sci 2022; 23:ijms232214498. [PMID: 36430976 PMCID: PMC9695177 DOI: 10.3390/ijms232214498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/07/2022] [Accepted: 11/19/2022] [Indexed: 11/23/2022] Open
Abstract
Mental disorders represent common brain diseases characterized by substantial impairments of social and cognitive functions. The neurobiological causes and mechanisms of psychopathologies still have not been definitively determined. Various forms of brain proteinopathies, which include a disruption of protein conformations and the formation of protein aggregates in brain tissues, may be a possible cause behind the development of psychiatric disorders. Proteinopathies are known to be the main cause of neurodegeneration, but much less attention is given to the role of protein impairments in psychiatric disorders' pathogenesis, such as depression and schizophrenia. For this reason, the aim of this review was to discuss the potential contribution of protein illnesses in the development of psychopathologies. The first part of the review describes the possible mechanisms of disruption to protein folding and aggregation in the cell: endoplasmic reticulum stress, dysfunction of chaperone proteins, altered mitochondrial function, and impaired autophagy processes. The second part of the review addresses the known proteins whose aggregation in brain tissue has been observed in psychiatric disorders (amyloid, tau protein, α-synuclein, DISC-1, disbindin-1, CRMP1, SNAP25, TRIOBP, NPAS3, GluA1, FABP, and ankyrin-G).
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Affiliation(s)
- Aleksandra Ochneva
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
- Correspondence: ; Tel.: +7-915-670-39-35
| | - Yana Zorkina
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
| | - Olga Abramova
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
| | - Olga Pavlova
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
| | - Valeriya Ushakova
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
- Department of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Anna Morozova
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
| | - Eugene Zubkov
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
| | - Konstantin Pavlov
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Healthcare Department, Mental-Health Clinic No. 1 Named after N.A. Alexeev of Moscow, 117152 Moscow, Russia
| | - Olga Gurina
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
| | - Vladimir Chekhonin
- Department Basic and Applied Neurobiology, V.P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia
- Department of Medical Nanobiotechnology, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
- National University of Science and Technology “MISiS”, Leninskiy Avenue 4, 119049 Moscow, Russia
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Evidence that the pituitary gland connects type 2 diabetes mellitus and schizophrenia based on large-scale trans-ethnic genetic analyses. J Transl Med 2022; 20:501. [PMID: 36329495 PMCID: PMC9632150 DOI: 10.1186/s12967-022-03704-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/05/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Previous studies on European (EUR) samples have obtained inconsistent results regarding the genetic correlation between type 2 diabetes mellitus (T2DM) and Schizophrenia (SCZ). A large-scale trans-ethnic genetic analysis may provide additional evidence with enhanced power. OBJECTIVE We aimed to explore the genetic basis for both T2DM and SCZ based on large-scale genetic analyses of genome-wide association study (GWAS) data from both East Asian (EAS) and EUR subjects. METHODS A range of complementary approaches were employed to cross-validate the genetic correlation between T2DM and SCZ at the whole genome, autosomes (linkage disequilibrium score regression, LDSC), loci (Heritability Estimation from Summary Statistics, HESS), and causal variants (MiXeR and Mendelian randomization, MR) levels. Then, genome-wide and transcriptome-wide cross-trait/ethnic meta-analyses were performed separately to explore the effective shared organs, cells and molecular pathways. RESULTS A weak genome-wide negative genetic correlation between SCZ and T2DM was found for the EUR (rg = - 0.098, P = 0.009) and EAS (rg =- 0.053 and P = 0.032) populations, which showed no significant difference between the EUR and EAS populations (P = 0.22). After Bonferroni correction, the rg remained significant only in the EUR population. Similar results were obtained from analyses at the levels of autosomes, loci and causal variants. 25 independent variants were firstly identified as being responsible for both SCZ and T2DM. The variants associated with the two disorders were significantly correlated to the gene expression profiles in the brain (P = 1.1E-9) and pituitary gland (P = 1.9E-6). Then, 61 protein-coding and non-coding genes were identified as effective genes in the pituitary gland (P < 9.23E-6) and were enriched in metabolic pathways related to glutathione mediated arsenate detoxification and to D-myo-inositol-trisphosphate. CONCLUSION Here, we show that a negative genetic correlation exists between SCZ and T2DM at the whole genome, autosome, locus and causal variant levels. We identify pituitary gland as a common effective organ for both diseases, in which non-protein-coding effective genes, such as lncRNAs, may be responsible for the negative genetic correlation. This highlights the importance of molecular metabolism and neuroendocrine modulation in the pituitary gland, which may be responsible for the initiation of T2DM in SCZ patients.
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The neuroprotective and neuroplastic potential of glutamatergic therapeutic drugs in bipolar disorder. Neurosci Biobehav Rev 2022; 142:104906. [DOI: 10.1016/j.neubiorev.2022.104906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/30/2022] [Accepted: 10/02/2022] [Indexed: 11/21/2022]
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DHULI KRISTJANA, BONETTI GABRIELE, ANPILOGOV KYRYLO, HERBST KARENL, CONNELLY STEPHENTHADDEUS, BELLINATO FRANCESCO, GISONDI PAOLO, BERTELLI MATTEO. Validating methods for testing natural molecules on molecular pathways of interest in silico and in vitro. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2022; 63:E279-E288. [PMID: 36479497 PMCID: PMC9710400 DOI: 10.15167/2421-4248/jpmh2022.63.2s3.2770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Differentially expressed genes can serve as drug targets and are used to predict drug response and disease progression. In silico drug analysis based on the expression of these genetic biomarkers allows the detection of putative therapeutic agents, which could be used to reverse a pathological gene expression signature. Indeed, a set of bioinformatics tools can increase the accuracy of drug discovery, helping in biomarker identification. Once a drug target is identified, in vitro cell line models of disease are used to evaluate and validate the therapeutic potential of putative drugs and novel natural molecules. This study describes the development of efficacious PCR primers that can be used to identify gene expression of specific genetic pathways, which can lead to the identification of natural molecules as therapeutic agents in specific molecular pathways. For this study, genes involved in health conditions and processes were considered. In particular, the expression of genes involved in obesity, xenobiotics metabolism, endocannabinoid pathway, leukotriene B4 metabolism and signaling, inflammation, endocytosis, hypoxia, lifespan, and neurotrophins were evaluated. Exploiting the expression of specific genes in different cell lines can be useful in in vitro to evaluate the therapeutic effects of small natural molecules.
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Affiliation(s)
- KRISTJANA DHULI
- MAGI’S LAB, Rovereto (TN), Italy
- Correspondence: Kristjana Dhuli, MAGI’S LAB, Rovereto (TN), 38068, Italy. E-mail:
| | | | | | - KAREN L. HERBST
- Total Lipedema Care, Beverly Hills California and Tucson Arizona, USA
| | - STEPHEN THADDEUS CONNELLY
- San Francisco Veterans Affairs Health Care System, Department of Oral & Maxillofacial Surgery, University of California, San Francisco, CA, USA7
| | - FRANCESCO BELLINATO
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - PAOLO GISONDI
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - MATTEO BERTELLI
- MAGI’S LAB, Rovereto (TN), Italy
- MAGI EUREGIO, Bolzano, BZ, Italy
- MAGISNAT, Peachtree Corners (GA), USA
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Liu JW, Li H, Zhang Y. Npas3 regulates stemness maintenance of radial glial cells and neuronal migration in the developing mouse cerebral cortex. Front Cell Neurosci 2022; 16:865681. [PMID: 36313621 PMCID: PMC9608153 DOI: 10.3389/fncel.2022.865681] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
The neuronal PAS domain 3 (NPAS3) is a member of the basic helix-loop-helix (bHLH) PAS family of transcription factors and is implicated in psychiatric and neurodevelopmental disorders. NPAS3 is robustly expressed in the cortical ventricle zone (VZ), a transient proliferative zone containing progenitor cells, mainly radial glial cells, destined to give rise to cortical excitatory neurons. However, the role of NPAS3 in corticogenesis remains largely unknown. In this study, we knocked down Npas3 expression in the neural progenitor cells residing in the cortical VZ to investigate the role of Npas3 in cerebral cortical development in mice. We demonstrated that Npas3 knockdown profoundly impaired neuronal radial migration and changed the laminar cell fate of the cells detained in the deep cortical layers. Furthermore, the downregulation of Npas3 led to the stemness maintenance of radial glial cells and increased the proliferation rate of neural progenitor cells residing in the VZ/subventricular zone (SVZ). These findings underline the function of Npas3 in the development of the cerebral cortex and may shed light on the etiology of NPAS3-related disorders.
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Tielke A, Martins H, Pelzl MA, Maaser-Hecker A, David FS, Reinbold CS, Streit F, Sirignano L, Schwarz M, Vedder H, Kammerer-Ciernioch J, Albus M, Borrmann-Hassenbach M, Hautzinger M, Hünten K, Degenhardt F, Fischer SB, Beins EC, Herms S, Hoffmann P, Schulze TG, Witt SH, Rietschel M, Cichon S, Nöthen MM, Schratt G, Forstner AJ. Genetic and functional analyses implicate microRNA 499A in bipolar disorder development. Transl Psychiatry 2022; 12:437. [PMID: 36207305 PMCID: PMC9547016 DOI: 10.1038/s41398-022-02176-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 08/10/2022] [Accepted: 09/12/2022] [Indexed: 11/09/2022] Open
Abstract
Bipolar disorder (BD) is a complex mood disorder with a strong genetic component. Recent studies suggest that microRNAs contribute to psychiatric disorder development. In BD, specific candidate microRNAs have been implicated, in particular miR-137, miR-499a, miR-708, miR-1908 and miR-2113. The aim of the present study was to determine the contribution of these five microRNAs to BD development. For this purpose, we performed: (i) gene-based tests of the five microRNA coding genes, using data from a large genome-wide association study of BD; (ii) gene-set analyses of predicted, brain-expressed target genes of the five microRNAs; (iii) resequencing of the five microRNA coding genes in 960 BD patients and 960 controls and (iv) in silico and functional studies for selected variants. Gene-based tests revealed a significant association with BD for MIR499A, MIR708, MIR1908 and MIR2113. Gene-set analyses revealed a significant enrichment of BD associations in the brain-expressed target genes of miR-137 and miR-499a-5p. Resequencing identified 32 distinct rare variants (minor allele frequency < 1%), all of which showed a non-significant numerical overrepresentation in BD patients compared to controls (p = 0.214). Seven rare variants were identified in the predicted stem-loop sequences of MIR499A and MIR2113. These included rs142927919 in MIR2113 (pnom = 0.331) and rs140486571 in MIR499A (pnom = 0.297). In silico analyses predicted that rs140486571 might alter the miR-499a secondary structure. Functional analyses showed that rs140486571 significantly affects miR-499a processing and expression. Our results suggest that MIR499A dysregulation might contribute to BD development. Further research is warranted to elucidate the contribution of the MIR499A regulated network to BD susceptibility.
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Affiliation(s)
- Aileen Tielke
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,Salus Clinic Hürth, Hürth, Germany
| | - Helena Martins
- grid.5801.c0000 0001 2156 2780Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH & Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
| | - Michael A. Pelzl
- grid.10253.350000 0004 1936 9756Institute for Physiological Chemistry, Philipps-University Marburg, Marburg, Germany ,grid.10392.390000 0001 2190 1447Present Address: Clinic for Psychiatry and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Anna Maaser-Hecker
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Friederike S. David
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Céline S. Reinbold
- grid.5510.10000 0004 1936 8921Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Fabian Streit
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lea Sirignano
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | - Margot Albus
- grid.419834.30000 0001 0690 3065Isar Amper Klinikum München Ost, kbo, Haar, Germany
| | | | - Martin Hautzinger
- grid.10392.390000 0001 2190 1447Department of Psychology, Clinical Psychology and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Karola Hünten
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Franziska Degenhardt
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.410718.b0000 0001 0262 7331Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Sascha B. Fischer
- grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Eva C. Beins
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Herms
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Thomas G. Schulze
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Stephanie H. Witt
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,grid.7700.00000 0001 2190 4373Center for Innovative Psychiatry and Psychotherapy Research, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marcella Rietschel
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sven Cichon
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Markus M. Nöthen
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Gerhard Schratt
- grid.5801.c0000 0001 2156 2780Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH & Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
| | - Andreas J. Forstner
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany ,grid.10253.350000 0004 1936 9756Centre for Human Genetics, University of Marburg, Marburg, Germany
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Scotti-Muzzi E, Chile T, Vallada H, Otaduy MCG, Soeiro-de-Souza MG. Association between CACNA1C gene rs100737 polymorphism and glutamatergic neurometabolites in bipolar disorder. Eur Neuropsychopharmacol 2022; 59:26-35. [PMID: 35544990 DOI: 10.1016/j.euroneuro.2022.04.001] [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: 10/30/2021] [Revised: 03/30/2022] [Accepted: 04/02/2022] [Indexed: 11/25/2022]
Abstract
Abnormalities in Ca2+ homeostasis in Bipolar Disorders (BD) have been associated with impairments in glutamatergic receptors and voltage-gated calcium channels. Increased anterior cingulate cortex (ACC) glutamatergic neurometabolites have been consistently disclosed in BD by proton magnetic resonance spectroscopy (1H-MRS). A single nucleotide polymorphism (SNP) in the CACNA1C gene (rs1006737), which encodes the alpha 1-C subunit of the L-type calcium channel, has been associated with BD and is reported to modulate intra-cellular Ca2+. Thus, this study aimed to explore the association of the CACNA1C genotype with ACC glutamatergic metabolites measured by 1H-MRS in both BD and HC subjects. A total of 194 subjects (121 euthymic BD type I patients and 73 healthy controls (HC) were genotyped for CACNA1C rs1006737, underwent a 3-Tesla 1H-MRS imaging examination and ACC glutamatergic metabolite were assessed. We found overall increased glutamatergic metabolites in AA carriers in BD. Specifically, higher Glx/Cr was observed in subjects with the AA genotype compared to both AG and GG in the overall sample (BD + HC). Also, female individuals in the BD group with AA genotype were found to have higher Glx/Cr compared to those with other genotypes. CACNA1C AA carriers in use of anticonvulsant medication had higher estimated Glutamine (Glx-Glu) than the other genotypes. Thus, this study suggest an association between calcium channel genetics and increased glutamatergic metabolites in BD, possibly playing a synergic role in intracellular Ca2+ overload and excitotoxicity.
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Affiliation(s)
- Estêvão Scotti-Muzzi
- Department of Psychiatry, University of São Paulo (FMUSP), Institute of Psychiatry, CEAPESQ, PROGRUDA, School of Medicine, Dr. Ovidio Pires de Campos s / n. Clinic Hospital, São Paulo 05403-010, Brazil.
| | - Thais Chile
- Genetics and Pharmacogenetics Unit (PROGENE), Institute of Psychiatry, School of Medicine, University of São Paulo (IPq-FMUSP), Brazil
| | - Homero Vallada
- Genetics and Pharmacogenetics Unit (PROGENE), Institute of Psychiatry, School of Medicine, University of São Paulo (IPq-FMUSP), Brazil
| | - Maria Concepción Garcia Otaduy
- Laboratory of Magnetic Resonance LIM44, Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), Brazil
| | - Márcio Gerhardt Soeiro-de-Souza
- Department of Psychiatry, University of São Paulo (FMUSP), Institute of Psychiatry, CEAPESQ, PROGRUDA, School of Medicine, Dr. Ovidio Pires de Campos s / n. Clinic Hospital, São Paulo 05403-010, Brazil
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Liu H, Pu J, Zhou Q, Yang L, Bai D. Peripheral blood and urine metabolites and biological functions in post-stroke depression. Metab Brain Dis 2022; 37:1557-1568. [PMID: 35438379 DOI: 10.1007/s11011-022-00984-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 04/10/2022] [Indexed: 12/31/2022]
Abstract
Post-stroke depression (PSD) is the most common and severe neuropsychiatric complication after stroke. However, the molecular mechanism of PSD is still unclear. Previous studies have identified peripheral blood and urine metabolites associated with PSD using metabolomics techniques. We searched and systematically summarized metabolites that may be involved in metabolic changes in peripheral blood and urine of patients with PSD from the Metabolite Network of Depression Database (MENDA) and other biomedical databases. MetaboAnalyst5.0 software was used for pathway analysis and enrichment analysis of differential metabolites, and subgroup analyses were performed according to tissue types and metabolomics techniques. We identified 47 metabolites that were differentially expressed between patients with and without PSD. Five differential metabolites were found in both plasma and urine, including L-glutamic acid, pyroglutamic acid, palmitic acid, L-phenylalanine, and L-tyrosine. We integrated these metabolites into metabolic pathways, and six pathways were significantly altered. These pathways could be roughly divided into three modules including amino acid metabolism, nucleotide metabolism, and glucose metabolism. Among them, the most significantly altered pathway was "phenylalanine metabolism" and the pathway containing the most associated metabolites was "aminoacyl-tRNA biosynthesis", which deserve further study to elucidate their role in the molecular mechanism of PSD. In summary, metabolic changes in peripheral blood and urine are associated with PSD, especially the disruption of "phenylalanine metabolism" and "aminoacyl-tRNA biosynthesis" pathways. This study provides clues to the metabolic characteristics of patients with PSD, which may help to elucidate the molecular pathogenesis of PSD.
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Affiliation(s)
- Haiyan Liu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juncai Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qinxiang Zhou
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lining Yang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Dingqun Bai
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Menculini G, Steardo L, Verdolini N, Cirimbilli F, Moretti P, Tortorella A. Substance use disorders in bipolar disorders: Clinical correlates and treatment response to mood stabilizers. J Affect Disord 2022; 300:326-333. [PMID: 34990627 DOI: 10.1016/j.jad.2022.01.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 11/06/2021] [Accepted: 01/01/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Substance use disorders (SUD) in bipolar disorders (BD) present relevant impact on psychopathological features and illness course. The present study was aimed at analyzing the clinical correlates of this comorbidity. METHODS In- and outpatients suffering from BD were recruited. Socio-demographic and clinical characteristics were collected. Subjects underwent a psychopathological assessment evaluating affective temperaments and impulsiveness. The appraisal of treatment response to mood stabilizers was conducted with the Alda Scale. Bivariate analyses were used to compare subjects suffering from BD with (SUD-BD) or without comorbid SUD (nSUD-BD) (p<0.05). A logistic regression model was performed to identify specific correlates of SUD in BD. RESULTS Among the 161 included subjects, 63 (39.1%) were diagnosed with comorbid SUD. SUD-BD subjects showed younger age at onset (p = 0.003) and higher prevalence of BD type I diagnosis (BDI) (p<0.001). Furthermore, lifetime mixed features (p<0.001), psychotic symptoms (p<0.001), suicide attempts (p = 0.002), aggression (p = 0.003), antidepressant-induced manic switch (p = 0.003), and poor treatment response (p<0.001) were more frequent in the SUD-BD subgroup. At the logistic regression, SUD revealed a positive association with BD type I diagnosis (Odds Ratio (OR) 4.77, 95% CI 1.66-13.71, p = 0.004) and mixed features (OR 2.54, 95% CI 1.17-5.53, p = 0.019). LIMITATIONS The cross-sectional study design and the relatively small sample size may limit the generalizability of the findings. The retrospective evaluation of comorbid SUD could have biased the outcome assessment. CONCLUSIONS Subjects with BD and SUD are characterized by higher clinical severity and require careful assessment of treatment response.
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Affiliation(s)
| | - Luca Steardo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Norma Verdolini
- Department of Psychiatry, University of Perugia, Perugia, Italy; Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
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Polygenic risk and causal inference of psychiatric comorbidity in inflammatory bowel disease among patients with European ancestry. J Transl Med 2022; 20:43. [PMID: 35086532 PMCID: PMC8793227 DOI: 10.1186/s12967-022-03242-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Approximately 40% of persons with inflammatory bowel disease (IBD) experience psychiatric comorbidities (PC). Previous studies demonstrated the polygenetic effect on both IBD and PC. In this study, we evaluated the contribution of genetic variants to PC among the IBD population. Additionally, we evaluated whether this effect is mediated by the expression level of the RBPMS gene, which was identified in our previous studies as a potential risk factor of PC in persons with IBD. MATERIALS AND METHODS The polygenic risk score (PRS) was estimated among persons with IBD of European ancestry (n = 240) from the Manitoba IBD Cohort Study by using external genome-wide association studies (GWAS). The association and prediction performance were examined between the estimated PRS and PC status among persons with IBD. Finally, regression-based models were applied to explore whether the imputed expression level of the RBPMS gene is a mediator between estimated PRS and PC status in IBD. RESULTS The estimated PRS had a significantly positive association with PC status (for the highest effect: P-value threshold = 5 × 10-3, odds ratio = 2.0, P-value = 1.5 × 10-5). Around 13% of the causal effect between the PRS and PC status in IBD was mediated by the expression level of the RBPMS gene. The area under the curve of the PRS-based PC prediction model is around 0.7 at the threshold of 5 × 10-4. CONCLUSION PC status in IBD depends on genetic influences among persons with European ancestry. The PRS could potentially be applied to PC risk screening to identify persons with IBD at a high risk of PC. Around 13% of this genetic influence could be explained by the expression level of the RBPMS gene.
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Zhang Z, Zhao Y. Progress on the roles of MEF2C in neuropsychiatric diseases. Mol Brain 2022; 15:8. [PMID: 34991657 PMCID: PMC8740500 DOI: 10.1186/s13041-021-00892-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 12/23/2021] [Indexed: 12/15/2022] Open
Abstract
Myocyte Enhancer Factor 2 C (MEF2C), one of the transcription factors of the MADS-BOX family, is involved in embryonic brain development, neuronal formation and differentiation, as well as in the growth and pruning of axons and dendrites. MEF2C is also involved in the development of various neuropsychiatric disorders, such as autism spectrum disorders (ASD), epilepsy, schizophrenia and Alzheimer’s disease (AD). Here, we review the relationship between MEF2C and neuropsychiatric disorders, and provide further insights into the mechanism of these diseases.
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Affiliation(s)
- Zhikun Zhang
- National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Department of Mental Health, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China
| | - Yongxiang Zhao
- National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Gonçalves MCB, Andrejew R, Gubert C. The Purinergic System as a Target for the Development of Treatments for Bipolar Disorder. CNS Drugs 2022; 36:787-801. [PMID: 35829960 PMCID: PMC9345801 DOI: 10.1007/s40263-022-00934-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/15/2022] [Indexed: 11/27/2022]
Abstract
The neurobiological and neurochemical mechanisms underlying the pathophysiology of bipolar disorder are complex and not yet fully understood. From circadian disruption to neuroinflammation, many pathways and signaling molecules are important contributors to bipolar disorder development, some specific to a disease subtype or a cycling episode. Pharmacological agents for bipolar disorder have shown only partial efficacy, including mood stabilizers and antipsychotics. The purinergic hypothesis for bipolar disorder emerges in this scenario as a promising target for further research and drug development, given its role in neurotransmission and neuroinflammation that results in behavioral and mood regulation. Here, we review the basic concepts of purinergic signaling in the central nervous system and its contribution to bipolar disorder pathophysiology. Allopurinol and novel P2X7 receptor antagonists are promising candidates for treating bipolar disorder. We further explore currently available pharmacotherapies and the emerging new purinergic targets for drug development in bipolar disorder.
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Affiliation(s)
| | - Roberta Andrejew
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil
| | - Carolina Gubert
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, 30 Royal Parade, Parkville, VIC, 3032, Australia.
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Abstract
Bipolar disorder (BD) is a complex group of neuropsychiatric disorders, typically comprising both manic and depressive episodes. The underlying neuropathology of BD is not established, but a consistent feature is progressive thinning of cortical grey matter (GM) and white matter (WM) in specific pathways, due to loss of subpopulations of neurons and astrocytes, with accompanying disturbance of connectivity. Dysregulation of astrocyte homeostatic functions are implicated in BD, notably regulation of glutamate, calcium signalling, circadian rhythms and metabolism. Furthermore, the beneficial therapeutic effects of the frontline treatments for BD are due at least in part to their positive actions on astrocytes, notably lithium, valproic acid (VPA) and carbamazepine (CBZ), as well as antidepressants and antipsychotics that are used in the management of this disorder. Treatments for BD are ineffective in a large proportion of cases, and astrocytes represent new therapeutic targets that can also serve as biomarkers of illness progression and treatment responsiveness in BD.
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Eren-Koçak E, Dalkara T. Ion Channel Dysfunction and Neuroinflammation in Migraine and Depression. Front Pharmacol 2021; 12:777607. [PMID: 34858192 PMCID: PMC8631474 DOI: 10.3389/fphar.2021.777607] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/22/2021] [Indexed: 01/15/2023] Open
Abstract
Migraine and major depression are debilitating disorders with high lifetime prevalence rates. Interestingly these disorders are highly comorbid and show significant heritability, suggesting shared pathophysiological mechanisms. Non-homeostatic function of ion channels and neuroinflammation may be common mechanisms underlying both disorders: The excitation-inhibition balance of microcircuits and their modulation by monoaminergic systems, which depend on the expression and function of membrane located K+, Na+, and Ca+2 channels, have been reported to be disturbed in both depression and migraine. Ion channels and energy supply to synapses not only change excitability of neurons but can also mediate the induction and maintenance of inflammatory signaling implicated in the pathophysiology of both disorders. In this respect, Pannexin-1 and P2X7 large-pore ion channel receptors can induce inflammasome formation that triggers release of pro-inflammatory mediators from the cell. Here, the role of ion channels involved in the regulation of excitation-inhibition balance, synaptic energy homeostasis as well as inflammatory signaling in migraine and depression will be reviewed.
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Affiliation(s)
- Emine Eren-Koçak
- Institute of Neurological Sciences and Psychiatry, Hacettepe University, Ankara, Turkey.,Department of Psychiatry, Medical Faculty, Hacettepe University, Ankara, Turkey
| | - Turgay Dalkara
- Institute of Neurological Sciences and Psychiatry, Hacettepe University, Ankara, Turkey
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29
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Neuronal cells from bipolar individuals are more susceptible to glutamate induced apoptosis than cells from non-bipolar subjects. J Affect Disord 2021; 294:568-573. [PMID: 34330053 DOI: 10.1016/j.jad.2021.07.064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 07/10/2021] [Accepted: 07/13/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with marked parenchymal brain loss in a significant fraction of patients. The lack of necrosis in postmortem examination suggests an apoptotic process. Emerging evidence suggests that mood stabilizers, like lithium, have antiapoptotic actions. Glutamatergic abnormalities have been associated with BD. METHODS Olfactory neuroepithelial progenitors (ONPs) harvested by biopsy from type I bipolar patients (BD-ONPs, n = 3) and non-bipolar controls (non-BD-ONPs, n = 6), were treated with glutamate at concentrations sufficient to mimic the observed doubling of intracellular sodium known to occur in both mania and bipolar depression, to investigate potential differential lithium effect on both BD-ONPs and non-BD-ONPs. RESULTS Apoptosis was detected in BP-ONPs exposed to 0.1 M glutamate for 6 h but in non-BD-ONPs at 24 h. Moreover, after treatment with 0.1 M glutamate treated for 6 h the levels of the pro-apoptotic cleaved-caspase-3 and cleaved-PARP proteins were significantly higher in BD-ONPs compare to non-BD-ONPs. Pretreatment with a therapeutic concentration of 1 mM lithium for 3 days attenuated the glutamate induced apoptosis. Lithium pretreatment 3 days also prevented the DNA fragmentation induced by glutamate, and significantly increased the antiapoptotic phospho-B-Raf and Bcl-2 proteins in BD-ONPs compared to non-BD-ONPs. LIMITATIONS ONPs are obtained from subjects with and without bipolar illness, but outcome of their study may still not reflect the biology of the illness. CONCLUSIONS ONPs derived from BD are more susceptible to glutamate-induced apoptosis. Lithium is associated with a greater increase of anti-apoptotic B-Raf and Bcl-2 expression in BD-ONPs.
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Zhan L, Li J, Jew B, Sul JH. Rare variants in the endocytic pathway are associated with Alzheimer's disease, its related phenotypes, and functional consequences. PLoS Genet 2021; 17:e1009772. [PMID: 34516545 PMCID: PMC8460036 DOI: 10.1371/journal.pgen.1009772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 09/23/2021] [Accepted: 08/10/2021] [Indexed: 11/19/2022] Open
Abstract
Late-onset Alzheimer's disease (LOAD) is the most common type of dementia causing irreversible brain damage to the elderly and presents a major public health challenge. Clinical research and genome-wide association studies have suggested a potential contribution of the endocytic pathway to AD, with an emphasis on common loci. However, the contribution of rare variants in this pathway to AD has not been thoroughly investigated. In this study, we focused on the effect of rare variants on AD by first applying a rare-variant gene-set burden analysis using genes in the endocytic pathway on over 3,000 individuals with European ancestry from three large whole-genome sequencing (WGS) studies. We identified significant associations of rare-variant burden within the endocytic pathway with AD, which were successfully replicated in independent datasets. We further demonstrated that this endocytic rare-variant enrichment is associated with neurofibrillary tangles (NFTs) and age-related phenotypes, increasing the risk of obtaining severer brain damage, earlier age-at-onset, and earlier age-of-death. Next, by aggregating rare variants within each gene, we sought to identify single endocytic genes associated with AD and NFTs. Careful examination using NFTs revealed one significantly associated gene, ANKRD13D. To identify functional associations, we integrated bulk RNA-Seq data from over 600 brain tissues and found two endocytic expression genes (eGenes), HLA-A and SLC26A7, that displayed significant influences on their gene expressions. Differential expressions between AD patients and controls of these three identified genes were further examined by incorporating scRNA-Seq data from 48 post-mortem brain samples and demonstrated distinct expression patterns across cell types. Taken together, our results demonstrated strong rare-variant effect in the endocytic pathway on AD risk and progression and functional effect of gene expression alteration in both bulk and single-cell resolution, which may bring more insight and serve as valuable resources for future AD genetic studies, clinical research, and therapeutic targeting.
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Affiliation(s)
- Lingyu Zhan
- Molecular Biology Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Jiajin Li
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Brandon Jew
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Jae Hoon Sul
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, United States of America
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31
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Yin XY, Chen P, Zhu HW, Yin XL, Ye G, Chi YY, Kang ZP, Sun HY, Hou WL, Guan LY, Zhu ZH, Tang Z, Wang J, Zhang GY, Jia QF, Hui L. The type 2 diabetes mellitus susceptibility gene CDKAL1 polymorphism is associated with depressive symptom in first-episode drug-naive schizophrenic patients. Hum Psychopharmacol 2021; 36:e2790. [PMID: 33856697 DOI: 10.1002/hup.2790] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/26/2021] [Accepted: 03/29/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Patients with schizophrenia have an increased prevalence of type 2 diabetes mellitus that has shown a significant association with the rs7754840 polymorphism in the gene encoding the cyclin-dependent kinase 5 (CDK5) regulatory subunit-associated protein 1-like 1 (CDKAL1). OBJECTIVE To examine whether this polymorphism was involved in the susceptibility in first-episode drug-naive schizophrenic patients (FDSP), and further influenced their clinical symptoms. METHODS This polymorphism was genotyped in 239 FDSP and 368 healthy controls. The clinical symptoms in FDSP were assessed using the Positive and Negative Syndrome Scale (PANSS) five-factor models. RESULTS There was no significant difference in the allelic and genotypic frequencies of this polymorphism between two groups (both p > 0.05) after adjusting for covariates. However, the PANSS depressive score significantly differed by genotype in FDSP after adjusting for covariates (F = 5.25, p = 0.006). This significant difference also persisted after Bonferroni correction (p < 0.05). FDSP with C/C genotype had significantly higher PANSS depressive score than those with C/G genotype (p = 0.007) and those with G/G genotype (p = 0.005). Moreover, further stepwise multivariate regression analysis showed the significant association between the rs7754840 polymorphism and PANSS depressive score in FDSP (β = -1.07, t = -2.75, p = 0.007). CONCLUSIONS Our findings demonstrated that although the CDKAL1 rs7754840 polymorphism did not contribute to the susceptibility to FDSP, it might be implicated in depressive symptoms in this patient group.
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Affiliation(s)
- Xu Yuan Yin
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Peng Chen
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Hai Wen Zhu
- Department of Laboratory Medicine, Suzhou Municipal Hospital North, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, Jiangsu, PR China
| | - Xiao Li Yin
- Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Gang Ye
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Yu Yan Chi
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Zhao Peng Kang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Hong Yan Sun
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Wen Long Hou
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Lu Yang Guan
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Zhen Hua Zhu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Zhen Tang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Jing Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Guang Ya Zhang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Qiu Fang Jia
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
| | - Li Hui
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow Unversity, Suzhou, Jiangsu, PR China
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32
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Nash A, Aumann TD, Pigoni M, Lichtenthaler SF, Takeshima H, Munro KM, Gunnersen JM. Lack of Sez6 Family Proteins Impairs Motor Functions, Short-Term Memory, and Cognitive Flexibility and Alters Dendritic Spine Properties. Cereb Cortex 2021; 30:2167-2184. [PMID: 31711114 DOI: 10.1093/cercor/bhz230] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/22/2019] [Accepted: 09/02/2019] [Indexed: 02/05/2023] Open
Abstract
Seizure-related gene 6 (Sez6), Sez6-Like (Sez6L), and Sez6-Like 2 (Sez6L2) comprise a family of homologous proteins widely expressed throughout the brain that have been linked to neurodevelopmental and psychiatric disorders. Here, we use Sez6 triple knockout (TKO) mice, which lack all three Sez6 family proteins, to demonstrate that Sez6 family proteins regulate dendritic spine structure and cognitive functions, motor learning, and maintenance of motor functions across the lifespan. Compared to WT controls, we found that Sez6 TKO mice had impaired motor learning and their motor coordination was negatively affected from 6 weeks old and declined more rapidly as they aged. Sez6 TKO mice had reduced spine density in the hippocampus and dendritic spines were shifted to more immature morphologies in the somatosensory cortex. Cognitive testing revealed that they had enhanced stress responsiveness, impaired working, and spatial short-term memory but intact spatial long-term memory in the Morris water maze albeit accompanied by a reversal deficit. Our study demonstrates that the lack of Sez6 family proteins results in phenotypes commonly associated with neuropsychiatric disorders making it likely that Sez6 family proteins contribute to the complex etiologies of these disorders.
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Affiliation(s)
- Amelia Nash
- Department of Anatomy and Neuroscience, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Timothy D Aumann
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Martina Pigoni
- German Centre for Neurodegenerative Diseases (DZNE), Munich 81377, Germany
| | - Stefan F Lichtenthaler
- German Centre for Neurodegenerative Diseases (DZNE), Munich 81377, Germany.,Neuroproteomics, School of Medicine, Klinikum rechts der Isar, and Institute for Advanced Study, Technical University of Munich, Munich 81675, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Hiroshi Takeshima
- Division of Pharmaceutical Sciences, Graduate School and Faculty of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Kathryn M Munro
- Department of Anatomy and Neuroscience, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Jenny M Gunnersen
- Department of Anatomy and Neuroscience, University of Melbourne, Melbourne, VIC 3010, Australia.,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC 3010, Australia
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33
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Yoon S, Myczek K, Penzes P. cAMP Signaling-Mediated Phosphorylation of Diacylglycerol Lipase α Regulates Interaction With Ankyrin-G and Dendritic Spine Morphology. Biol Psychiatry 2021; 90:263-274. [PMID: 34099188 PMCID: PMC8384113 DOI: 10.1016/j.biopsych.2021.03.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 03/17/2021] [Accepted: 03/25/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Diacylglycerol lipase α (DAGLα), a major biosynthetic enzyme for endogenous cannabinoid signaling, has emerged as a risk gene in multiple psychiatric disorders. However, its role in the regulation of dendritic spine plasticity is unclear. METHODS DAGLα wild-type or point mutants were overexpressed in primary cortical neurons or human embryonic kidney 293T cells. The effects of mutated variants on interaction, dendritic spine morphology, and dynamics were examined by proximity ligation assay or fluorescence recovery after photobleaching. Behavioral tests and immunohistochemistry were performed with ankyrin-G conditional knockout and wild-type male mice. RESULTS DAGLα modulated dendritic spine size and density, but the effects of changes in its protein level versus enzymatic activity were different, implicating either a 2-arachidonoylglycerol (2-AG)-dependent or -independent mechanism. The 2-AG-independent effects were mediated by the interaction of DAGLα with ankyrin-G, a multifunctional scaffold protein implicated in psychiatric disorders. Using superresolution microscopy, we observed that they colocalized in distinct nanodomains, which correlated with spine size. In situ proximity ligation assay combined with structured illumination microscopy revealed that DAGLα phosphorylation upon forskolin treatment enhanced the interaction with ankyrin-G in spines, leading to increased spine size and decreased DAGLα surface diffusion. Ankyrin-G conditional knockout mice showed significantly decreased DAGLα-positive neurons in the forebrain. In mice, ankyrin-G was required for forskolin-dependent reversal of depression-related behavior. CONCLUSIONS Taken together, ANK3 and DAGLA, both neuropsychiatric disorder genes, interact in a complex to regulate spine morphology. These data reveal novel synaptic signaling mechanisms and potential therapeutic avenues.
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Affiliation(s)
- Sehyoun Yoon
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kristoffer Myczek
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Peter Penzes
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Department of Psychiatry and Behavioral Sciences, and Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Center for Autism and Neurodevelopment, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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34
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Pisanu C, Congiu D, Severino G, Ardau R, Chillotti C, Del Zompo M, Baune BT, Squassina A. Investigation of genetic loci shared between bipolar disorder and risk-taking propensity: potential implications for pharmacological interventions. Neuropsychopharmacology 2021; 46:1680-1692. [PMID: 34035470 PMCID: PMC8280111 DOI: 10.1038/s41386-021-01045-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 11/09/2022]
Abstract
Patients with bipolar disorder (BD) often show increased risk-taking propensity, which may contribute to poor clinical outcome. While these two phenotypes are genetically correlated, there is scarce knowledge on the shared genetic determinants. Using GWAS datasets on BD (41,917 BD cases and 371,549 controls) and risk-taking (n = 466,571), we dissected shared genetic determinants using conjunctional false discovery rate (conjFDR) and local genetic covariance analysis. We investigated specificity of identified targets using GWAS datasets on schizophrenia (SCZ) and attention-deficit hyperactivity disorder (ADHD). The putative functional role of identified targets was evaluated using different tools and GTEx v. 8. Target druggability was evaluated using DGIdb and enrichment for drug targets with genome for REPositioning drugs (GREP). Among 102 loci shared between BD and risk-taking, 87% showed the same direction of effect. Sixty-two were specifically shared between risk-taking propensity and BD, while the others were also shared between risk-taking propensity and either SCZ or ADHD. By leveraging pleiotropic enrichment, we reported 15 novel and specific loci associated with BD and 22 with risk-taking. Among cross-disorder genes, CACNA1C (a known target of calcium channel blockers) was significantly associated with risk-taking propensity and both BD and SCZ using conjFDR (p = 0.001 for both) as well as local genetic covariance analysis, and predicted to be differentially expressed in the cerebellar hemisphere in an eQTL-informed gene-based analysis (BD, Z = 7.48, p = 3.8E-14; risk-taking: Z = 4.66, p = 1.6E-06). We reported for the first time shared genetic determinants between BD and risk-taking propensity. Further investigation into calcium channel blockers or development of innovative ligands of calcium channels might form the basis for innovative pharmacotherapy in patients with BD with increased risk-taking propensity.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Maria Del Zompo
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
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35
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O'Connell KS, Shadrin A, Bahrami S, Smeland OB, Bettella F, Frei O, Krull F, Askeland RB, Walters GB, Davíðsdóttir K, Haraldsdóttir GS, Guðmundsson ÓÓ, Stefánsson H, Fan CC, Steen NE, Reichborn-Kjennerud T, Dale AM, Stefánsson K, Djurovic S, Andreassen OA. Identification of genetic overlap and novel risk loci for attention-deficit/hyperactivity disorder and bipolar disorder. Mol Psychiatry 2021; 26:4055-4065. [PMID: 31792363 DOI: 10.1038/s41380-019-0613-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 11/07/2019] [Accepted: 11/15/2019] [Indexed: 12/13/2022]
Abstract
Differential diagnosis between childhood onset attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) remains a challenge, mainly due to overlapping symptoms and high rates of comorbidity. Despite this, genetic correlation reported for these disorders is low and non-significant. Here we aimed to better characterize the genetic architecture of these disorders utilizing recent large genome-wide association studies (GWAS). We analyzed independent GWAS summary statistics for ADHD (19,099 cases and 34,194 controls) and BD (20,352 cases and 31,358 controls) applying the conditional/conjunctional false discovery rate (condFDR/conjFDR) statistical framework that increases the power to detect novel phenotype-specific and shared loci by leveraging the combined power of two GWAS. We observed cross-trait polygenic enrichment for ADHD conditioned on associations with BD, and vice versa. Leveraging this enrichment, we identified 19 novel ADHD risk loci and 40 novel BD risk loci at condFDR <0.05. Further, we identified five loci jointly associated with ADHD and BD (conjFDR < 0.05). Interestingly, these five loci show concordant directions of effect for ADHD and BD. These results highlight a shared underlying genetic risk for ADHD and BD which may help to explain the high comorbidity rates and difficulties in differentiating between ADHD and BD in the clinic. Improving our understanding of the underlying genetic architecture of these disorders may aid in the development of novel stratification tools to help reduce these diagnostic difficulties.
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Affiliation(s)
- Kevin S O'Connell
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway.
| | - Alexey Shadrin
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Shahram Bahrami
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Olav B Smeland
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Francesco Bettella
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Florian Krull
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Ragna B Askeland
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - G Bragi Walters
- deCODE genetics/Amgen, Reykjavík, Iceland.,Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Katrín Davíðsdóttir
- The Centre for Child Development and Behaviour, Capital Area Primary Health Care, Reykjavik, Iceland
| | - Gyða S Haraldsdóttir
- The Centre for Child Development and Behaviour, Capital Area Primary Health Care, Reykjavik, Iceland
| | - Ólafur Ó Guðmundsson
- deCODE genetics/Amgen, Reykjavík, Iceland.,Faculty of Medicine, University of Iceland, Reykjavík, Iceland.,Department of Child and Adolescent Psychiatry, National University Hospital, Reykjavik, Iceland
| | | | - Chun C Fan
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, USA.,Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Nils Eiel Steen
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, USA.,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, 92093, USA.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Kári Stefánsson
- deCODE genetics/Amgen, Reykjavík, Iceland.,Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway. .,Departments of Neurology and Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
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Das S, Rai SN. Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies. ENTROPY (BASEL, SWITZERLAND) 2021; 23:945. [PMID: 34441085 PMCID: PMC8391627 DOI: 10.3390/e23080945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/19/2021] [Accepted: 07/21/2021] [Indexed: 11/16/2022]
Abstract
Genome-wide expression study is a powerful genomic technology to quantify expression dynamics of genes in a genome. In gene expression study, gene set analysis has become the first choice to gain insights into the underlying biology of diseases or stresses in plants. It also reduces the complexity of statistical analysis and enhances the explanatory power of the obtained results from the primary downstream differential expression analysis. The gene set analysis approaches are well developed in microarrays and RNA-seq gene expression data analysis. These approaches mainly focus on analyzing the gene sets with gene ontology or pathway annotation data. However, in plant biology, such methods may not establish any formal relationship between the genotypes and the phenotypes, as most of the traits are quantitative and controlled by polygenes. The existing Quantitative Trait Loci (QTL)-based gene set analysis approaches only focus on the over-representation analysis of the selected genes while ignoring their associated gene scores. Therefore, we developed an innovative statistical approach, GSQSeq, to analyze the gene sets with trait enriched QTL data. This approach considers the associated differential expression scores of genes while analyzing the gene sets. The performance of the developed method was tested on five different crop gene expression datasets obtained from real crop gene expression studies. Our analytical results indicated that the trait-specific analysis of gene sets was more robust and successful through the proposed approach than existing techniques. Further, the developed method provides a valuable platform for integrating the gene expression data with QTL data.
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Affiliation(s)
- Samarendra Das
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India;
- Biostatistics and Bioinformatics Facility, JG Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA
- School of Interdisciplinary and Graduate Studies, University of Louisville, Louisville, KY 40292, USA
| | - Shesh N. Rai
- Biostatistics and Bioinformatics Facility, JG Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA
- School of Interdisciplinary and Graduate Studies, University of Louisville, Louisville, KY 40292, USA
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY 40202, USA
- Alcohol Research Center, University of Louisville, Louisville, KY 40202, USA
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY 40202, USA
- Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY 40202, USA
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Yang D, Chen J, Cheng X, Cao B, Chang H, Li X, Yang C, Wu Q, Sun J, Manry D, Pan Y, Dong Y, Li J, Xu T, Cao L. SERINC2 increases the risk of bipolar disorder in the Chinese population. Depress Anxiety 2021; 38:985-995. [PMID: 34288243 DOI: 10.1002/da.23186] [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: 02/02/2021] [Revised: 04/28/2021] [Accepted: 05/22/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Although common variants in a large collection of patients are associated with increased risk for bipolar disorder (BD), studies have only been able to predict 25%-45% of risks, suggesting that lots of variants that contribute to the risk for BD haven't been identified. Our study aims to identify novel BD risk genes. METHODS We performed whole-exome sequencing of 27 individuals from 6 BD multi-affected Chinese families to identify candidate variants. Targeted sequencing of one of the novel risk genes, SERINC2, in additional sporadic 717 BD patients and 312 healthy controls (HC) validated the association. Magnetic resonance imaging (MRI) were performed to evaluate the effect of the variant to brain structures from 213 subjects (4 BD subjects from a multi-affected family, 130 sporadic BD subjects and 79 HC control). RESULTS BD pedigrees had an increased burden of uncommon variants in extracellular matrix (ECM) and calcium ion binding. By large-scale sequencing we identified a novel recessive BD risk gene, SERINC2, which plays a role in synthesis of sphingolipid and phosphatidylserine (PS). MRI image results show the homozygous nonsense variant in SERINC2 affects the volume of white matter in cerebellum. CONCLUSIONS Our study identified SERINC2 as a risk gene of BD in the Chinese population.
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Affiliation(s)
- Dong Yang
- Team for Growth Control and Size Innovative Research, Westlake University, Hangzhou, Zhejiang, China.,Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Jianshan Chen
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiongchao Cheng
- Department of Clinical Psychology, Nanning Fifth People's Hospital, Nanning, Guangxi, China
| | - Bo Cao
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Hao Chang
- Howard Hughes Medical Institute, Department of Genetics, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Xuan Li
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Chanjuan Yang
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Qiuxia Wu
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiaqi Sun
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Diane Manry
- Howard Hughes Medical Institute, Department of Genetics, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Yukun Pan
- Howard Hughes Medical Institute, Department of Genetics, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA.,Yeda Research Institute of Gene and Cell Therapy, Taizhou, Zhejiang, China
| | - Yongli Dong
- Howard Hughes Medical Institute, Department of Genetics, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jiaojiao Li
- Team for Growth Control and Size Innovative Research, Westlake University, Hangzhou, Zhejiang, China.,Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Tian Xu
- Team for Growth Control and Size Innovative Research, Westlake University, Hangzhou, Zhejiang, China.,Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Howard Hughes Medical Institute, Department of Genetics, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Liping Cao
- Guangzhou Huiai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
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38
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Franklin C, Dwyer DS. Candidate risk genes for bipolar disorder are highly conserved during evolution and highly interconnected. Bipolar Disord 2021; 23:400-408. [PMID: 32959503 DOI: 10.1111/bdi.12996] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/24/2020] [Accepted: 09/12/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Bipolar disorder (BPD) is a highly heritable psychiatric disorder whose genetic complexity and pathogenetic mechanisms are still being unraveled. The main goal of this work was to characterize BPD risk-gene candidates (identified by Nurnberger et al., JAMA Psychiatry 71:657, 2014, and Stahl et al., Nat. Genet. 51:793, 2019) with respect to their evolutionary conservation, associated phenotypes, and extent of gene-gene interactions. METHODS Database searches and BLAST were used to identify homologous counterparts of human BPD risk genes in C. elegans, zebrafish, and Drosophila. Phenotypes associated with the C. elegans genes were annotated and searched. With GeneMANIA, we characterized and quantified gene-gene interactions among members of the BPD gene set in comparison to randomly chosen gene sets of the same size. RESULTS BPD risk genes are highly conserved across species and are enriched for essential genes and genes associated with lethality and altered life span. They are significantly more interactive with each other in comparison to random genes. We identified syntenic blocks of risk genes, which provided potential insights into molecular pathways and co-morbidities associated with BPD including coronary disease, obesity, and decreased life expectancy. CONCLUSIONS BPD risk genes appear to be special in terms of their degree of conservation, interconnectedness, and pleiotropic effects that extend beyond a role in brain function. Key hub genes or pleiotropic regulatory components may represent attractive targets for future drug discovery.
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Affiliation(s)
- Claire Franklin
- School of Medicine, LSU Health Shreveport, Shreveport, LA, USA.,LSU Health Sciences Center New Orleans, Shreveport, LA, USA
| | - Donard S Dwyer
- Departments of Psychiatry and Behavioral Medicine and Pharmacology, Toxicology and Neuroscience, LSU Health Shreveport, Shreveport, LA, USA
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39
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Mullins N, Forstner AJ, O'Connell KS, Coombes B, Coleman JRI, Qiao Z, Als TD, Bigdeli TB, Børte S, Bryois J, Charney AW, Drange OK, Gandal MJ, Hagenaars SP, Ikeda M, Kamitaki N, Kim M, Krebs K, Panagiotaropoulou G, Schilder BM, Sloofman LG, Steinberg S, Trubetskoy V, Winsvold BS, Won HH, Abramova L, Adorjan K, Agerbo E, Al Eissa M, Albani D, Alliey-Rodriguez N, Anjorin A, Antilla V, Antoniou A, Awasthi S, Baek JH, Bækvad-Hansen M, Bass N, Bauer M, Beins EC, Bergen SE, Birner A, Bøcker Pedersen C, Bøen E, Boks MP, Bosch R, Brum M, Brumpton BM, Brunkhorst-Kanaan N, Budde M, Bybjerg-Grauholm J, Byerley W, Cairns M, Casas M, Cervantes P, Clarke TK, Cruceanu C, Cuellar-Barboza A, Cunningham J, Curtis D, Czerski PM, Dale AM, Dalkner N, David FS, Degenhardt F, Djurovic S, Dobbyn AL, Douzenis A, Elvsåshagen T, Escott-Price V, Ferrier IN, Fiorentino A, Foroud TM, Forty L, Frank J, Frei O, Freimer NB, Frisén L, Gade K, Garnham J, Gelernter J, Giørtz Pedersen M, Gizer IR, Gordon SD, Gordon-Smith K, Greenwood TA, Grove J, Guzman-Parra J, Ha K, Haraldsson M, Hautzinger M, Heilbronner U, Hellgren D, Herms S, Hoffmann P, Holmans PA, Huckins L, Jamain S, Johnson JS, Kalman JL, Kamatani Y, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koromina M, Kranz TM, Kranzler HR, Kubo M, Kupka R, Kushner SA, Lavebratt C, Lawrence J, Leber M, Lee HJ, Lee PH, Levy SE, Lewis C, Liao C, Lucae S, Lundberg M, MacIntyre DJ, Magnusson SH, Maier W, Maihofer A, Malaspina D, Maratou E, Martinsson L, Mattheisen M, McCarroll SA, McGregor NW, McGuffin P, McKay JD, Medeiros H, Medland SE, Millischer V, Montgomery GW, Moran JL, Morris DW, Mühleisen TW, O'Brien N, O'Donovan C, Olde Loohuis LM, Oruc L, Papiol S, Pardiñas AF, Perry A, Pfennig A, Porichi E, Potash JB, Quested D, Raj T, Rapaport MH, DePaulo JR, Regeer EJ, Rice JP, Rivas F, Rivera M, Roth J, Roussos P, Ruderfer DM, Sánchez-Mora C, Schulte EC, Senner F, Sharp S, Shilling PD, Sigurdsson E, Sirignano L, Slaney C, Smeland OB, Smith DJ, Sobell JL, Søholm Hansen C, Soler Artigas M, Spijker AT, Stein DJ, Strauss JS, Świątkowska B, Terao C, Thorgeirsson TE, Toma C, Tooney P, Tsermpini EE, Vawter MP, Vedder H, Walters JTR, Witt SH, Xi S, Xu W, Yang JMK, Young AH, Young H, Zandi PP, Zhou H, Zillich L, Adolfsson R, Agartz I, Alda M, Alfredsson L, Babadjanova G, Backlund L, Baune BT, Bellivier F, Bengesser S, Berrettini WH, Blackwood DHR, Boehnke M, Børglum AD, Breen G, Carr VJ, Catts S, Corvin A, Craddock N, Dannlowski U, Dikeos D, Esko T, Etain B, Ferentinos P, Frye M, Fullerton JM, Gawlik M, Gershon ES, Goes FS, Green MJ, Grigoroiu-Serbanescu M, Hauser J, Henskens F, Hillert J, Hong KS, Hougaard DM, Hultman CM, Hveem K, Iwata N, Jablensky AV, Jones I, Jones LA, Kahn RS, Kelsoe JR, Kirov G, Landén M, Leboyer M, Lewis CM, Li QS, Lissowska J, Lochner C, Loughland C, Martin NG, Mathews CA, Mayoral F, McElroy SL, McIntosh AM, McMahon FJ, Melle I, Michie P, Milani L, Mitchell PB, Morken G, Mors O, Mortensen PB, Mowry B, Müller-Myhsok B, Myers RM, Neale BM, Nievergelt CM, Nordentoft M, Nöthen MM, O'Donovan MC, Oedegaard KJ, Olsson T, Owen MJ, Paciga SA, Pantelis C, Pato C, Pato MT, Patrinos GP, Perlis RH, Posthuma D, Ramos-Quiroga JA, Reif A, Reininghaus EZ, Ribasés M, Rietschel M, Ripke S, Rouleau GA, Saito T, Schall U, Schalling M, Schofield PR, Schulze TG, Scott LJ, Scott RJ, Serretti A, Shannon Weickert C, Smoller JW, Stefansson H, Stefansson K, Stordal E, Streit F, Sullivan PF, Turecki G, Vaaler AE, Vieta E, Vincent JB, Waldman ID, Weickert TW, Werge T, Wray NR, Zwart JA, Biernacka JM, Nurnberger JI, Cichon S, Edenberg HJ, Stahl EA, McQuillin A, Di Florio A, Ophoff RA, Andreassen OA. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nat Genet 2021; 53:817-829. [PMID: 34002096 PMCID: PMC8192451 DOI: 10.1038/s41588-021-00857-4] [Citation(s) in RCA: 531] [Impact Index Per Article: 177.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.
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Affiliation(s)
- Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Kevin S O'Connell
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Brandon Coombes
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Zhen Qiao
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Thomas D Als
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA NY Harbor Healthcare System, Brooklyn, NY, USA
| | - Sigrid Børte
- Research and Communication Unit for Musculoskeletal Health, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ole Kristian Drange
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Østmarka, Division of Mental Health Care, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Michael J Gandal
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Saskia P Hagenaars
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Masashi Ikeda
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Nolan Kamitaki
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Minsoo Kim
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristi Krebs
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Brian M Schilder
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura G Sloofman
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Vassily Trubetskoy
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Bendik S Winsvold
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea
| | - Liliya Abramova
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Esben Agerbo
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Mariam Al Eissa
- Division of Psychiatry, University College London, London, UK
| | - Diego Albani
- Department of Neuroscience, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Ney Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Northwestern University, Chicago, IL, USA
| | - Adebayo Anjorin
- Psychiatry, Berkshire Healthcare NHS Foundation Trust, Bracknell, UK
| | - Verneri Antilla
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Marie Bækvad-Hansen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Nicholas Bass
- Division of Psychiatry, University College London, London, UK
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Eva C Beins
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Carsten Bøcker Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Erlend Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Marco P Boks
- Psychiatry, Brain Center UMC Utrecht, Utrecht, the Netherlands
| | - Rosa Bosch
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Murielle Brum
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ben M Brumpton
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Nathalie Brunkhorst-Kanaan
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Jonas Bybjerg-Grauholm
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - William Byerley
- Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Murray Cairns
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Miquel Casas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pablo Cervantes
- Mood Disorders Program, Department of Psychiatry, McGill University Health Center, Montreal, Quebec, Canada
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Cristiana Cruceanu
- Mood Disorders Program, Department of Psychiatry, McGill University Health Center, Montreal, Quebec, Canada
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alfredo Cuellar-Barboza
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Julie Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - David Curtis
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Piotr M Czerski
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, Departments of Neurosciences, Radiology, and Psychiatry, University of California, San Diego, CA, USA
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amanda L Dobbyn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Athanassios Douzenis
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Torbjørn Elvsåshagen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Valentina Escott-Price
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - I Nicol Ferrier
- Academic Psychiatry, Newcastle University, Newcastle upon Tyne, UK
| | | | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Liz Forty
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Oleksandr Frei
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Louise Frisén
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katrin Gade
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Julie Garnham
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Marianne Giørtz Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Scott D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Tiffany A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jakob Grove
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - José Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Kyooseob Ha
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Martin Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Dennis Hellgren
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Peter A Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Laura Huckins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stéphane Jamain
- Neuropsychiatrie Translationnelle, Inserm U955, Créteil, France
- Faculté de Santé, Université Paris Est, Créteil, France
| | - Jessica S Johnson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - James L Kennedy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - James A Knowles
- Cell Biology, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | | | - Maria Koromina
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Thorsten M Kranz
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ralph Kupka
- Psychiatry, Altrecht, Utrecht, the Netherlands
- Psychiatry, GGZ inGeest, Amsterdam, the Netherlands
- Psychiatry, VU Medisch Centrum, Amsterdam, the Netherlands
| | - Steven A Kushner
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jacob Lawrence
- Psychiatry, North East London NHS Foundation Trust, Ilford, UK
| | - Markus Leber
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea
| | - Phil H Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shawn E Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Catrin Lewis
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Calwing Liao
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
| | - Susanne Lucae
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Martin Lundberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Donald J MacIntyre
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | | | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Adam Maihofer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Dolores Malaspina
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eirini Maratou
- Clinical Biochemistry Laboratory, Attikon General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Lina Martinsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Manuel Mattheisen
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nathaniel W McGregor
- Systems Genetics Working Group, Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Peter McGuffin
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - James D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Helena Medeiros
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Sarah E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Jennifer L Moran
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Derek W Morris
- Centre for Neuroimaging and Cognitive Genomics (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Niamh O'Brien
- Division of Psychiatry, University College London, London, UK
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Loes M Olde Loohuis
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Lilijana Oruc
- Medical Faculty, School of Science and Technology, University Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Antonio F Pardiñas
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Amy Perry
- Psychological Medicine, University of Worcester, Worcester, UK
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Evgenia Porichi
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Digby Quested
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Towfique Raj
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark H Rapaport
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eline J Regeer
- Outpatient Clinic for Bipolar Disorder, Altrecht, Utrecht, the Netherlands
| | - John P Rice
- Department of Psychiatry, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Fabio Rivas
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Margarita Rivera
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Institute of Neurosciences, Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Julian Roth
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Panos Roussos
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Douglas M Ruderfer
- Medicine, Psychiatry, Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cristina Sánchez-Mora
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sally Sharp
- Division of Psychiatry, University College London, London, UK
| | - Paul D Shilling
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Engilbert Sigurdsson
- Landspitali University Hospital, Reykjavik, Iceland
- Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Claire Slaney
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Olav B Smeland
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Janet L Sobell
- Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Christine Søholm Hansen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Maria Soler Artigas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | | | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - John S Strauss
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Claudio Toma
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Centro de Biología Molecular Severo Ochoa, Universidad Autónoma de Madrid and CSIC, Madrid, Spain
| | - Paul Tooney
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Evangelia-Eirini Tsermpini
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Helmut Vedder
- Psychiatry, Psychiatrisches Zentrum Nordbaden, Wiesloch, Germany
| | - James T R Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Simon Xi
- Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, MA, USA
| | - Wei Xu
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jessica Mei Kay Yang
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Beckenham, UK
| | - Hannah Young
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University Medical Faculty, Umeå, Sweden
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine and Diakonhjemmet Hospital, University of Oslo, Oslo, Norway
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gulja Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - Lena Backlund
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Frank Bellivier
- Université de Paris, INSERM, Optimisation Thérapeutique en Neuropsychopharmacologie, UMRS 1144, Paris, France
- APHP Nord, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, GHU Saint Louis-Lariboisière-Fernand Widal, Paris, France
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | | | | | - Michael Boehnke
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, CGPM, Aarhus, Denmark
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Vaughan J Carr
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Stanley Catts
- University of Queensland, Brisbane, Queensland, Australia
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Nicholas Craddock
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dimitris Dikeos
- 1st Department of Psychiatry, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Tõnu Esko
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Endocrinology, Children's Hospital Boston, Boston, MA, USA
| | - Bruno Etain
- Université de Paris, INSERM, Optimisation Thérapeutique en Neuropsychopharmacologie, UMRS 1144, Paris, France
- APHP Nord, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, GHU Saint Louis-Lariboisière-Fernand Widal, Paris, France
| | - Panagiotis Ferentinos
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Micha Gawlik
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Melissa J Green
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Joanna Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Frans Henskens
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kyung Sue Hong
- Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - David M Hougaard
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kristian Hveem
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Nakao Iwata
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Assen V Jablensky
- University of Western Australia, Nedlands, Western Australia, Australia
| | - Ian Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Lisa A Jones
- Psychological Medicine, University of Worcester, Worcester, UK
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Psychiatry, Brain Center UMC Utrecht, Utrecht, the Netherlands
| | - John R Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - George Kirov
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Marion Leboyer
- Neuropsychiatrie Translationnelle, Inserm U955, Créteil, France
- Faculté de Santé, Université Paris Est, Créteil, France
- Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Qingqin S Li
- Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, NJ, USA
| | - Jolanta Lissowska
- Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | | | - Nicholas G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Carol A Mathews
- Department of Psychiatry and Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | | | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Francis J McMahon
- Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Ingrid Melle
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Division of Mental Health and Addiction, University of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Patricia Michie
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Gunnar Morken
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Psychiatry, St Olavs University Hospital, Trondheim, Norway
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Risskov, Denmark
| | - Preben Bo Mortensen
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Bryan Mowry
- University of Queensland, Brisbane, Queensland, Australia
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Benjamin M Neale
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research/Psychiatry, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Merete Nordentoft
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Michael C O'Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Ketil J Oedegaard
- Division of Psychiatry, Haukeland Universitetssjukehus, Bergen, Norway
- Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Tomas Olsson
- Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Sara A Paciga
- Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, CT, USA
| | | | - Carlos Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Michele T Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
- Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Roy H Perlis
- Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Clinical Research, Massachusetts General Hospital, Boston, MA, USA
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Josep Antoni Ramos-Quiroga
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Marta Ribasés
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Takeo Saito
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Ulrich Schall
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Laura J Scott
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Rodney J Scott
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Cynthia Shannon Weickert
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Eystein Stordal
- Department of Psychiatry, Hospital Namsos, Namsos, Norway
- Department of Neuroscience, Norges Teknisk Naturvitenskapelige Universitet Fakultet for Naturvitenskap og Teknologi, Trondheim, Norway
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Arne E Vaaler
- Department of Psychiatry, Sankt Olavs Hospital Universitetssykehuset i Trondheim, Trondheim, Norway
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - John B Vincent
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Thomas W Weickert
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Thomas Werge
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - John-Anker Zwart
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Joanna M Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - John I Nurnberger
- Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
- Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Eli A Stahl
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | | | - Arianna Di Florio
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Roel A Ophoff
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
- NORMENT, University of Oslo, Oslo, Norway.
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40
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Na + leak-current channel (NALCN) at the junction of motor and neuropsychiatric symptoms in Parkinson's disease. J Neural Transm (Vienna) 2021; 128:749-762. [PMID: 33961117 DOI: 10.1007/s00702-021-02348-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 04/30/2021] [Indexed: 12/27/2022]
Abstract
Parkinson's disease (PD) is a debilitating movement disorder often accompanied by neuropsychiatric symptoms that stem from the loss of dopaminergic function in the basal ganglia and altered neurotransmission more generally. Akinesia, postural instability, tremors and frozen gait constitute the major motor disturbances, whereas neuropsychiatric symptoms include altered circadian rhythms, disordered sleep, depression, psychosis and cognitive impairment. Evidence is emerging that the motor and neuropsychiatric symptoms may share etiologic factors. Calcium/ion channels (CACNA1C, NALCN), synaptic proteins (SYNJ1) and neuronal RNA-binding proteins (RBFOX1) are among the risk genes that are common to PD and various psychiatric disorders. The Na+ leak-current channel (NALCN) is the focus of this review because it has been implicated in dystonia, regulation of movement, cognitive impairment, sleep and circadian rhythms. It regulates the resting membrane potential in neurons, mediates pace-making activity, participates in synaptic vesicle recycling and is functionally co-localized to the endoplasmic reticulum (ER)-several of the major processes adversely affected in PD. Here, we summarize the literature on mechanisms and pathways that connect the motor and neuropsychiatric symptoms of PD with a focus on recurring relationships to the NALCN. It is hoped that the various connections outlined here will stimulate further discussion, suggest additional areas for exploration and ultimately inspire novel treatment strategies.
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41
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Li W, Cai X, Li HJ, Song M, Zhang CY, Yang Y, Zhang L, Zhao L, Liu W, Wang L, Shao M, Zhang Y, Zhang C, Cai J, Zhou DS, Li X, Hui L, Jia QF, Qu N, Zhong BL, Zhang SF, Chen J, Xia B, Li Y, Song X, Fan W, Tang W, Tang W, Tang J, Chen X, Yue W, Zhang D, Fang Y, Xiao X, Li M, Lv L, Chang H. Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder. Neuropsychopharmacology 2021; 46:1103-1112. [PMID: 32791513 PMCID: PMC8114920 DOI: 10.1038/s41386-020-00788-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/02/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023]
Abstract
Genetic analyses for bipolar disorder (BD) have achieved prominent success in Europeans in recent years, whereas its genetic basis in other populations remains relatively less understood. We herein report that the leading risk locus for BD in European genome-wide association studies (GWAS), the single-nucleotide polymorphism (SNP) rs9834970 near TRANK1 at 3p22 region, is also genome-wide significantly associated with BD in a meta-analysis of four independent East Asian samples including 5748 cases and 65,361 controls (p = 2.27 × 10-8, odds ratio = 1.136). Expression quantitative trait loci (eQTL) analyses and summary data-based Mendelian randomization (SMR) analyses in multiple human brain samples suggest that lower TRANK1 mRNA expression is a principal BD risk factor explaining its genetic risk signals at 3p22. We also identified another SNP rs4789 in the 3' untranslated region (3'UTR) of TRANK1 showing stronger eQTL associations as well as genome-wide significant association with BD. Despite the relatively unclear neuronal function of TRANK1, our mRNA expression analyses in the human brains and in rat primary cortical neurons reveal that genes highly correlated with TRANK1 are significantly enriched in the biological processes related to dendritic spine, synaptic plasticity, axon guidance and circadian entrainment, and are also more likely to exhibit strong associations in psychiatric GWAS (e.g., the CACNA1C gene). Overall, our results support that TRANK1 is a potential BD risk gene. Further studies elucidating its roles in this illness are needed.
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Affiliation(s)
- Wenqiang Li
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Xin Cai
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Hui-Juan Li
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Meng Song
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Chu-Yi Zhang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Yongfeng Yang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Luwen Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Lijuan Zhao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Weipeng Liu
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Lu Wang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Minglong Shao
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Yan Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 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 China
| | - Chen Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Cai
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Sheng Zhou
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Xingxing Li
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Li Hui
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Qiu-Fang Jia
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Na Qu
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bao-Liang Zhong
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Shu-Fang Zhang
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Jing Chen
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bin Xia
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Yi Li
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Xueqin Song
- grid.412633.1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang China
| | - Wei Tang
- grid.268099.c0000 0001 0348 3990Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang China
| | - Wenxin Tang
- grid.469604.90000 0004 1765 5222Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang China ,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang China
| | - Xiaogang Chen
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,National Clinical Research Center for Mental Disorders, Changsha, Hunan China ,National Technology Institute of Mental Disorders, Changsha, Hunan China ,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan China ,grid.489086.bMental Health Institute of Central South University, Changsha, Hunan China ,Hunan Medical Center for Mental Health, Changsha, Hunan China
| | - Weihua Yue
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Dai Zhang
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yiru Fang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Province People's Hospital, Zhengzhou, Henan, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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42
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Nurnberger JI. New analyses provide supportive evidence for specific genes related to bipolar disorder. Bipolar Disord 2021; 23:295-296. [PMID: 33432681 DOI: 10.1111/bdi.13044] [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: 12/22/2020] [Accepted: 01/08/2021] [Indexed: 11/30/2022]
Affiliation(s)
- John I Nurnberger
- Departments of Psychiatry and Medical and Molecular Genetics, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
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43
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Chaudhary R, Agarwal V, Kaushik AS, Rehman M. Involvement of myocyte enhancer factor 2c in the pathogenesis of autism spectrum disorder. Heliyon 2021; 7:e06854. [PMID: 33981903 PMCID: PMC8082549 DOI: 10.1016/j.heliyon.2021.e06854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/09/2020] [Accepted: 04/15/2021] [Indexed: 12/29/2022] Open
Abstract
Myocyte enhancer factor 2 (MEF2), a family of transcription factor of MADS (minichromosome maintenance 1, agamous, deficiens and serum response factor)-box family needed in the growth and differentiation of a variety of human cells, such as neural, immune, endothelial, and muscles. As per existing literature, MEF2 transcription factors have also been associated with synaptic plasticity, the developmental mechanisms governing memory and learning, and several neurologic conditions, like autism spectrum disorders (ASDs). Recent genomic findings have ascertained a link between MEF2 defects, particularly in the MEF2C isoform and the ASD. In this review, we summarized a concise overview of the general regulation, structure and functional roles of the MEF2C transcription factor. We further outlined the potential role of MEF2C as a risk factor for various neurodevelopmental disorders, such as ASD, MEF2C Haploinsufficiency Syndrome and Fragile X syndrome.
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Affiliation(s)
- Rishabh Chaudhary
- Department of Pharmaceutical Sciences, School of Biosciences and Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
| | - Vipul Agarwal
- Department of Pharmaceutical Sciences, School of Biosciences and Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
| | - Arjun Singh Kaushik
- Department of Pharmaceutical Sciences, School of Biosciences and Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
| | - Mujeeba Rehman
- Department of Pharmaceutical Sciences, School of Biosciences and Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
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44
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Jones GH, Rong C, Shariq AS, Mishra A, Machado-Vieira R. Intracellular Signaling Cascades in Bipolar Disorder. Curr Top Behav Neurosci 2021; 48:101-132. [PMID: 32860212 DOI: 10.1007/7854_2020_157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Bipolar spectrum disorders carry a significant public health burden. Disproportionately high rates of suicide, incarceration, and comorbid medical conditions necessitate an extraordinary focus on understanding the intricacies of this disease. Elucidating granular, intracellular details seems to be a necessary preamble to advancing promising therapeutic opportunities. In this chapter, we review a wide range of intracellular mechanisms including mitochondrial energetics, calcium signaling, neuroinflammation, the microbiome, neurotransmitter metabolism, glycogen synthase kinase 3-beta (GSK3β), protein kinase C (PKC) and diacylglycerol (DAG), and neurotrophins (especially BDNF), as well as the glutamatergic, dopaminergic, purinergic, and neurohormonal systems. Owing to the relative lack of understanding and effective therapeutic options compared to the rest of the spectrum, special attention is paid in the chapter to the latest developments in bipolar depression. Likewise, from a therapeutic standpoint, special attention should be paid to the pervasive mechanistic actions of lithium as a means of amalgamating numerous, disparate cascades into a digestible cognitive topology.
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Affiliation(s)
- Gregory H Jones
- Department of Psychiatry, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Carola Rong
- Department of Psychiatry, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Aisha S Shariq
- Department of Psychiatry, Texas Tech University Health Science Center, El Paso, TX, USA
- Texas Tech University Health Science Center, Paul L. Foster School of Medicine, El Paso, TX, USA
| | - Abhinav Mishra
- Texas Tech University Health Science Center, Paul L. Foster School of Medicine, El Paso, TX, USA
| | - Rodrigo Machado-Vieira
- Department of Psychiatry, University of Texas Health Science Center at Houston, Houston, TX, USA.
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45
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Kermath BA, Vanderplow AM, Cahill ME. Dysregulated Prefrontal Cortical RhoA Signal Transduction in Bipolar Disorder with Psychosis: New Implications for Disease Pathophysiology. Cereb Cortex 2021; 30:59-71. [PMID: 31220216 DOI: 10.1093/cercor/bhz070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
While research has identified alterations in dorsolateral prefrontal cortical function as a key factor to the etiology of bipolar disorder, few studies have uncovered robust changes in protein signal transduction pathways in this disorder. Given the direct relevance of protein-based expressional alterations to cellular functions and because many of the key regulatory mechanisms for the disease pathogenesis likely include alterations in protein activity rather than changes in expression alone, the identification of alterations in discrete signal transduction pathways in bipolar disorder would have broad implications for understanding the disease pathophysiology. As prior microarray data point to a previously unrecognized involvement of the RhoA network in bipolar disorder, here we investigate the protein expression and activity of key components of a RhoA signal transduction pathway in dorsolateral prefrontal cortical homogenates from subjects with bipolar disorder. The results of this investigation implicate overactivation of prefrontal cortical RhoA signaling in specific subtypes of bipolar disorder. The specificity of these findings is demonstrated by a lack of comparable changes in schizophrenia; however, our findings do identify convergence between both disorders at the level of activity-mediated actin cytoskeletal regulation. These findings have implications for understanding the altered cortical synaptic connectivity of bipolar disorder.
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Affiliation(s)
- Bailey A Kermath
- Department of Comparative Biosciences, University of Wisconsin at Madison, Madison, WI, USA
| | - Amanda M Vanderplow
- Department of Comparative Biosciences, University of Wisconsin at Madison, Madison, WI, USA
| | - Michael E Cahill
- Department of Comparative Biosciences, University of Wisconsin at Madison, Madison, WI, USA
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46
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Wollenhaupt-Aguiar B, Kapczinski F, Pfaffenseller B. Biological Pathways Associated with Neuroprogression in Bipolar Disorder. Brain Sci 2021; 11:brainsci11020228. [PMID: 33673277 PMCID: PMC7918818 DOI: 10.3390/brainsci11020228] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 02/06/2021] [Accepted: 02/08/2021] [Indexed: 02/06/2023] Open
Abstract
There is evidence suggesting clinical progression in a subset of patients with bipolar disorder (BD). This progression is associated with worse clinical outcomes and biological changes. Molecular pathways and biological markers of clinical progression have been identified and may explain the progressive changes associated with this disorder. The biological basis for clinical progression in BD is called neuroprogression. We propose that the following intertwined pathways provide the biological basis of neuroprogression: inflammation, oxidative stress, impaired calcium signaling, endoplasmic reticulum and mitochondrial dysfunction, and impaired neuroplasticity and cellular resilience. The nonlinear interaction of these pathways may worsen clinical outcomes, cognition, and functioning. Understanding neuroprogression in BD is crucial for identifying novel therapeutic targets, preventing illness progression, and ultimately promoting better outcomes.
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Affiliation(s)
- Bianca Wollenhaupt-Aguiar
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON L8N 3K7, Canada; (B.W.-A.); (F.K.)
- Mood Disorders Program, St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada
| | - Flavio Kapczinski
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON L8N 3K7, Canada; (B.W.-A.); (F.K.)
- Mood Disorders Program, St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON L8S 4L8, Canada
- Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90035-903, Brazil
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil
| | - Bianca Pfaffenseller
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON L8N 3K7, Canada; (B.W.-A.); (F.K.)
- Mood Disorders Program, St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada
- Correspondence:
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Bruinooge A, Liu Q, Tian Y, Jiang W, Li Y, Xu W, Bernstein CN, Hu P. Genetic predictors of gene expression associated with psychiatric comorbidity in patients with inflammatory bowel disease - A pilot study. Genomics 2021; 113:919-932. [PMID: 33588072 DOI: 10.1016/j.ygeno.2021.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Inflammatory bowel disease (IBD) affects millions of people in North America, and patients with IBD have a high incidence of psychiatric comorbidities (PC). The genetic mechanisms underlying the link are, in general, poorly understood. MATERIALS AND METHODS A transcriptome-wide association study (TWAS) was performed using genetically regulated gene expression profiles imputed from the genetic profiles of 240 IBD patients in the Manitoba IBD Cohort Study. The imputation was performed using the 44 non-diseased human tissue-specific reference models from the GTEx database. Linear modeling and gene set enrichment analysis were performed to identify genes and pathways that are significantly associated with IBD patients with PC compared to IBD alone in each of the 44 non-diseased human tissues. Finally, an enrichment map was generated to investigate networks of the enriched gene sets associated with IBD patients with PC. RESULTS The genes RBPMS in skeletal muscle (adjusted p = 0.05), KCNA5 in the cerebellar hemisphere of the brain (adjusted p = 0.09), GSR, SMIM34A, and LIPT2 in the frontal cortex of the brain (adjusted p = 0.09 for each) were the top genetically regulated genes with a suggestive association with IBD patients with PC. We identified three gene set networks, which include gene sets and pathways with a suggestive association with IBD patients with PC: one with 7 gene sets overlapping in apolipoprotein B mRNA editing subunit genes, one with 3 gene sets including pigmentation gene sets, and the other one with 3 gene sets including peptidyl tyrosine phosphorylation regulation related gene sets. CONCLUSIONS Our TWAS analysis has identified genes and pathways with a suggestive association with IBD patients with PC. These findings can be potentially used for illustrating the mechanism of developing PC in the patients with IBD and developing diagnosis tool or drug targets for IBD patients with PC.
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Affiliation(s)
- Allan Bruinooge
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Qian Liu
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Ye Tian
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Wenxin Jiang
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Yao Li
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Wei Xu
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Charles N Bernstein
- Department of Internal Medicine and The University of Manitoba IBD Clinical and Research Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Pingzhao Hu
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada; Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
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48
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Rathje M, Waxman H, Benoit M, Tammineni P, Leu C, Loebrich S, Nedivi E. Genetic variants in the bipolar disorder risk locus SYNE1 that affect CPG2 expression and protein function. Mol Psychiatry 2021; 26:508-523. [PMID: 30610203 PMCID: PMC6609516 DOI: 10.1038/s41380-018-0314-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 11/14/2018] [Accepted: 11/15/2018] [Indexed: 12/28/2022]
Abstract
Bipolar disorder (BD) is a common mood disorder characterized by recurrent episodes of mania and depression. Both genetic and environmental factors have been implicated in BD etiology, but the biological underpinnings remain elusive. Recently, genome-wide association studies (GWAS) of neuropsychiatric disorders have identified a risk locus for BD containing the SYNE1 gene, a large gene encoding multiple proteins. The BD association signal spans, almost exclusively, the part of SYNE1 encoding CPG2, a brain-specific protein localized to excitatory postsynaptic sites, where it regulates glutamate receptor internalization. Here we show that CPG2 protein levels are significantly decreased in postmortem brain tissue from BD patients, as compared to control subjects, as well as schizophrenia and depression patients. We identify genetic variants within the postmortem brains that map to the CPG2 promoter region, and show that they negatively affect gene expression. We also identify missense single nucleotide polymorphisms (SNPs) in CPG2 coding regions that affect CPG2 expression, localization, and synaptic function. Our findings link genetic variation in the CPG2 region of SYNE1 with a mechanism for glutamatergic synapse dysfunction that could underlie susceptibility to BD in some individuals. Few GWAS hits in human genetics for neuropsychiatric disorders to date have afforded such mechanistic clues. Further, the potential for genetic distinction of susceptibility to BD from other neuropsychiatric disorders with overlapping clinical traits holds promise for improved diagnostics and treatment of this devastating illness.
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Affiliation(s)
- Mette Rathje
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hannah Waxman
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marc Benoit
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Prasad Tammineni
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA,Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, USA,Institute of Neurology, University College London, London, United Kingdom
| | - Sven Loebrich
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Elly Nedivi
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
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49
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Liu D, Nguyen TTL, Gao H, Huang H, Kim DC, Sharp B, Ye Z, Lee JH, Coombes BJ, Ordog T, Wang L, Biernacka JM, Frye MA, Weinshilboum RM. TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signaling. Mol Psychiatry 2021; 26:7454-7464. [PMID: 34535768 PMCID: PMC8872993 DOI: 10.1038/s41380-021-01274-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/21/2021] [Accepted: 08/19/2021] [Indexed: 02/08/2023]
Abstract
Bipolar disorder (BD) and obesity are highly comorbid. We previously performed a genome-wide association study (GWAS) for BD risk accounting for the effect of body mass index (BMI), which identified a genome-wide significant single-nucleotide polymorphism (SNP) in the gene encoding the transcription factor 7 like 2 (TCF7L2). However, the molecular function of TCF7L2 in the central nervous system (CNS) and its possible role in the BD and BMI interaction remained unclear. In the present study, we demonstrated by studying human induced pluripotent stem cell (hiPSC)-derived astrocytes, cells that highly express TCF7L2 in the CNS, that the BD-BMI GWAS risk SNP is associated with glucocorticoid-dependent repression of the expression of a previously uncharacterized TCF7L2 transcript variant. That transcript is a long non-coding RNA (lncRNA-TCF7L2) that is highly expressed in the CNS but not in peripheral tissues such as the liver and pancreas that are involved in metabolism. In astrocytes, knockdown of the lncRNA-TCF7L2 resulted in decreased expression of the parent gene, TCF7L2, as well as alterations in the expression of a series of genes involved in insulin signaling and diabetes. We also studied the function of TCF7L2 in hiPSC-derived astrocytes by integrating RNA sequencing data after TCF7L2 knockdown with TCF7L2 chromatin-immunoprecipitation sequencing (ChIP-seq) data. Those studies showed that TCF7L2 directly regulated a series of BD risk genes. In summary, these results support the existence of a CNS-based mechanism underlying BD-BMI genetic risk, a mechanism based on a glucocorticoid-dependent expression quantitative trait locus that regulates the expression of a novel TCF7L2 non-coding transcript.
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Affiliation(s)
- Duan Liu
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Thanh Thanh Le Nguyen
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XGraduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN USA
| | - Huanyao Gao
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Huaizhi Huang
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XGraduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN USA
| | - Daniel C. Kim
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Brenna Sharp
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Zhenqing Ye
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Jeong-Heon Lee
- grid.66875.3a0000 0004 0459 167XDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Brandon J. Coombes
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Tamas Ordog
- grid.66875.3a0000 0004 0459 167XDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN USA
| | - Liewei Wang
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Joanna M. Biernacka
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Mark A. Frye
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Richard M. Weinshilboum
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
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Maia da Silva MN, Porto FHDG, Lopes PMG, Sodré de Castro Prado C, Frota NAF, Alves CHL, Alves GS. Frontotemporal Dementia and Late-Onset Bipolar Disorder: The Many Directions of a Busy Road. Front Psychiatry 2021; 12:768722. [PMID: 34925096 PMCID: PMC8674641 DOI: 10.3389/fpsyt.2021.768722] [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: 09/01/2021] [Accepted: 10/13/2021] [Indexed: 12/18/2022] Open
Abstract
It is a common pathway for patients with the behavioral variant of frontotemporal dementia (bvFTD) to be first misdiagnosed with a primary psychiatric disorder, a considerable proportion of them being diagnosed with bipolar disorder (BD). Conversely, not rarely patients presenting in late life with a first episode of mania or atypically severe depression are initially considered to have dementia before the diagnosis of late-onset BD is reached. Beyond some shared features that make these conditions particularly prone to confusion, especially in the elderly, the relationship between bvFTD and BD is far from simple. Patients with BD often have cognitive complaints as part of their psychiatric disorder but are at an increased risk of developing dementia, including FTD. Likewise, apathy and disinhibition, common features of depression and mania, respectively, are among the core features of the bvFTD syndrome, not to mention that depression may coexist with dementia. In this article, we take advantage of the current knowledge on the neurobiology of these two nosologic entities to review their historical and conceptual interplay, highlighting the clinical, genetic and neuroimaging features that may be shared by both disorders or unique to each of them.
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Affiliation(s)
- Mari N Maia da Silva
- Geriatric Neuropsychiatry Outpatient Service, Nina Rodrigues Hospital, São Luís, Brazil
| | - Fábio Henrique de Gobbi Porto
- Laboratory of Psychiatric Neuroimaging (LIM-21) and Old Age Research Group (PROTER), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | | | | | - Norberto Anízio Ferreira Frota
- University of Fortaleza (UNIFOR) School of Medicine, Cognitive and Behavioral Neurology Service, Hospital Geral de Fortaleza, Fortaleza, Brazil
| | | | - Gilberto Sousa Alves
- Geriatric Neuropsychiatry Outpatient Service, Nina Rodrigues Hospital, São Luís, Brazil.,Post Graduation in Psychiatry and Mental Health, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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