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Kong L, Chen Y, Shen Y, Zhang D, Wei C, Lai J, Hu S. Progress and Implications from Genetic Studies of Bipolar Disorder. Neurosci Bull 2024; 40:1160-1172. [PMID: 38206551 PMCID: PMC11306703 DOI: 10.1007/s12264-023-01169-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 10/05/2023] [Indexed: 01/12/2024] Open
Abstract
With the advancements in gene sequencing technologies, including genome-wide association studies, polygenetic risk scores, and high-throughput sequencing, there has been a tremendous advantage in mapping a detailed blueprint for the genetic model of bipolar disorder (BD). To date, intriguing genetic clues have been identified to explain the development of BD, as well as the genetic association that might be applied for the development of susceptibility prediction and pharmacogenetic intervention. Risk genes of BD, such as CACNA1C, ANK3, TRANK1, and CLOCK, have been found to be involved in various pathophysiological processes correlated with BD. Although the specific roles of these genes have yet to be determined, genetic research on BD will help improve the prevention, therapeutics, and prognosis in clinical practice. The latest preclinical and clinical studies, and reviews of the genetics of BD, are analyzed in this review, aiming to summarize the progress in this intriguing field and to provide perspectives for individualized, precise, and effective clinical practice.
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Affiliation(s)
- Lingzhuo Kong
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yiqing Chen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yuting Shen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Danhua Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Chen Wei
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jianbo Lai
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
- The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, 310003, China.
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China.
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China.
- Department of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brian Medicine, and MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou, 310003, China.
| | - Shaohua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
- The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, 310003, China.
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China.
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China.
- Department of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brian Medicine, and MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou, 310003, China.
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2
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D'Antoni C, Mautone L, Sanchini C, Tondo L, Grassmann G, Cidonio G, Bezzi P, Cordella F, Di Angelantonio S. Unlocking Neural Function with 3D In Vitro Models: A Technical Review of Self-Assembled, Guided, and Bioprinted Brain Organoids and Their Applications in the Study of Neurodevelopmental and Neurodegenerative Disorders. Int J Mol Sci 2023; 24:10762. [PMID: 37445940 DOI: 10.3390/ijms241310762] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Understanding the complexities of the human brain and its associated disorders poses a significant challenge in neuroscience. Traditional research methods have limitations in replicating its intricacies, necessitating the development of in vitro models that can simulate its structure and function. Three-dimensional in vitro models, including organoids, cerebral organoids, bioprinted brain models, and functionalized brain organoids, offer promising platforms for studying human brain development, physiology, and disease. These models accurately replicate key aspects of human brain anatomy, gene expression, and cellular behavior, enabling drug discovery and toxicology studies while providing insights into human-specific phenomena not easily studied in animal models. The use of human-induced pluripotent stem cells has revolutionized the generation of 3D brain structures, with various techniques developed to generate specific brain regions. These advancements facilitate the study of brain structure development and function, overcoming previous limitations due to the scarcity of human brain samples. This technical review provides an overview of current 3D in vitro models of the human cortex, their development, characterization, and limitations, and explores the state of the art and future directions in the field, with a specific focus on their applications in studying neurodevelopmental and neurodegenerative disorders.
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Affiliation(s)
- Chiara D'Antoni
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Lorenza Mautone
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Caterina Sanchini
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Lucrezia Tondo
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Greta Grassmann
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
- Department of Biochemical Sciences "Alessandro Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy
| | - Gianluca Cidonio
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Paola Bezzi
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Department of Fundamental Neurosciences, University of Lausanne, 1011 Lausanne, Switzerland
| | - Federica Cordella
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
| | - Silvia Di Angelantonio
- Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
- Center for Life Nano- and Neuro-Science of Istituto Italiano di Tecnologia (IIT), 00161 Rome, Italy
- D-Tails s.r.l., 00165 Rome, Italy
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3
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Rivi V, Benatti C, Blom JMC, Pani L, Brunello N, Drago F, Papaleo F, Caraci F, Geraci F, Torrisi SA, Leggio GM, Tascedda F. The Role of Dopamine D3 Receptors, Dysbindin, and Their Functional Interaction in the Expression of Key Genes for Neuroplasticity and Neuroinflammation in the Mouse Brain. Int J Mol Sci 2023; 24:8699. [PMID: 37240042 PMCID: PMC10218262 DOI: 10.3390/ijms24108699] [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: 03/15/2023] [Revised: 05/04/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Cognitive impairment in schizophrenia remains a clinically and pharmacologically unsolved challenge. Clinical and preclinical studies have revealed that the concomitant reduction in dysbindin (DYS) and dopamine receptor D3 functionality improves cognitive functions. However, the molecular machinery underlying this epistatic interaction has not yet been fully elucidated. The glutamate NMDA receptors and the neurotrophin BDNF, with their established role in promoting neuroplasticity, may be involved in the complex network regulated by the D3/DYS interaction. Furthermore, as inflammation is involved in the etiopathogenesis of several psychiatric diseases, including schizophrenia, the D3/DYS interaction may affect the expression levels of pro-inflammatory cytokines. Thus, by employing mutant mice bearing selective heterozygosis for D3 and/or DYS, we provide new insights into the functional interactions (single and synergic) between these schizophrenia susceptibility genes and the expression levels of key genes for neuroplasticity and neuroinflammation in three key brain areas for schizophrenia: the prefrontal cortex, striatum, and hippocampus. In the hippocampus, the epistatic interaction between D3 and DYS reversed to the wild-type level the downregulated mRNA levels of GRIN1 and GRIN2A were observed in DYS +/- and D3 +/- mice. In all the areas investigated, double mutant mice had higher BDNF levels compared to their single heterozygote counterparts, whereas D3 hypofunction resulted in higher pro-inflammatory cytokines. These results may help to clarify the genetic mechanisms and functional interactions involved in the etiology and development of schizophrenia.
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Affiliation(s)
- Veronica Rivi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (V.R.); (C.B.); (J.M.C.B.); (L.P.)
| | - Cristina Benatti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (V.R.); (C.B.); (J.M.C.B.); (L.P.)
- Centre of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Joan M. C. Blom
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (V.R.); (C.B.); (J.M.C.B.); (L.P.)
- Centre of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Luca Pani
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (V.R.); (C.B.); (J.M.C.B.); (L.P.)
- Centre of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Department of Psychiatry and Behavioral Sciences, University of Miami, Miami, FL 33136, USA
| | - Nicoletta Brunello
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy;
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (F.D.); (F.C.); (F.G.); (S.A.T.)
| | - Francesco Papaleo
- Department of Neuroscience and Brain Technologies, Italian Institute of Technology, 16132 Genova, Italy;
| | - Filippo Caraci
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (F.D.); (F.C.); (F.G.); (S.A.T.)
| | - Federica Geraci
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (F.D.); (F.C.); (F.G.); (S.A.T.)
| | - Sebastiano Alfio Torrisi
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (F.D.); (F.C.); (F.G.); (S.A.T.)
| | - Gian Marco Leggio
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (F.D.); (F.C.); (F.G.); (S.A.T.)
| | - Fabio Tascedda
- Centre of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy;
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4
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Raio A, Pergola G, Rampino A, Russo M, D’Ambrosio E, Selvaggi P, De Chiara V, Altamura M, Brudaglio F, Saponaro A, Semisa D, Bertolino A, Antonucci LA, Blasi G, Carofiglio A, Barrasso G, Bellomo A, Leccisotti I, Di Fino M, Andriola I, Pennacchio TC. Similarities and differences between multivariate patterns of cognitive and socio-cognitive deficits in schizophrenia, bipolar disorder and related risk. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:11. [PMID: 36801866 PMCID: PMC9938280 DOI: 10.1038/s41537-023-00337-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 02/02/2023] [Indexed: 02/19/2023]
Abstract
Cognition and social cognition anomalies in patients with bipolar disorder (BD) and schizophrenia (SCZ) have been largely documented, but the degree of overlap between the two disorders remains unclear in this regard. We used machine learning to generate and combine two classifiers based on cognitive and socio-cognitive variables, thus delivering unimodal and multimodal signatures aimed at discriminating BD and SCZ from two independent groups of Healthy Controls (HC1 and HC2 respectively). Multimodal signatures discriminated well between patients and controls in both the HC1-BD and HC2-SCZ cohorts. Although specific disease-related deficits were characterized, the HC1 vs. BD signature successfully discriminated HC2 from SCZ, and vice-versa. Such combined signatures allowed to identify also individuals at First Episode of Psychosis (FEP), but not subjects at Clinical High Risk (CHR), which were classified neither as patients nor as HC. These findings suggest that both trans-diagnostic and disease-specific cognitive and socio-cognitive deficits characterize SCZ and BD. Anomalous patterns in these domains are also relevant to early stages of disease and offer novel insights for personalized rehabilitative programs.
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Affiliation(s)
- Alessandra Raio
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy
| | - Giulio Pergola
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy
| | - Antonio Rampino
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy ,Psychiatry Unit - University Hospital, Bari, Italy
| | - Marianna Russo
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy
| | - Enrico D’Ambrosio
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy ,grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF UK
| | - Pierluigi Selvaggi
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy ,Psychiatry Unit - University Hospital, Bari, Italy
| | - Valerie De Chiara
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy
| | - Mario Altamura
- grid.10796.390000000121049995Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Foggia, Foggia, Italy
| | | | | | | | - Alessandro Bertolino
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy ,Psychiatry Unit - University Hospital, Bari, Italy
| | - Linda A. Antonucci
- grid.7644.10000 0001 0120 3326Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience - University of Bari Aldo Moro, Bari, Italy. .,Psychiatry Unit - University Hospital, Bari, Italy.
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5
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Levy RJ, Timothy KW, Underwood JFG, Hall J, Bernstein JA, Pașca SP. A Cross-Sectional Study of the Neuropsychiatric Phenotype of CACNA1C-Related Disorder. Pediatr Neurol 2023; 138:101-106. [PMID: 36436328 DOI: 10.1016/j.pediatrneurol.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/26/2022] [Accepted: 10/29/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND CACNA1C encodes the voltage-gated L-type calcium channel CaV1.2. A specific gain-of-function pathogenic variant in CACNA1C causes Timothy syndrome type 1 (TS1) with cardiac long QT syndrome, syndactyly, and neuropsychiatric symptoms. Our previous work found that the TS1 mutation alters neuronal activity-dependent signaling and interneuron migration. Recent case series highlighted a broader spectrum of CACNA1C-related disorder (CRD) that includes isolated cardiac disease, isolated neurologic deficits, and TS, but it is unknown how the clinical presentation of other CRD variants relates to neural defects. We surveyed individuals with CRD to define the neuropsychiatric and developmental phenotype in an effort to guide future research into the role of calcium channels in neural development. METHODS Caregivers of and individuals with CRD completed an online survey of pre- and perinatal events, cardiac events, developmental milestones, neuropsychiatric symptoms, and neuropsychiatric diagnoses. Multiple Mann-Whitney tests were used for comparison of categorical values and Fisher exact test for comparison of categorical variables between participants with and without cardiac arrhythmia. RESULTS Twenty-four participants with germline CACNA1C variants including TS1 completed the survey. The most common neuropsychiatric symptoms and/or diagnoses were developmental delay in 92%, incoordination in 71%, hypotonia in 67%, autism spectrum disorder in 50% (autistic features in 92%), seizures in 37.5%, and attention-deficit/hyperactivity disorder in 21% of participants. There were no significant differences in symptoms between participants with and without arrhythmia. CONCLUSIONS In our CRD cohort, there was an increased prevalence of multiple neuropsychiatric symptoms compared with the general population. These findings indicate the key role of CaV1.2 in brain development and the clinical importance of screening and therapeutically addressing neuropsychiatric symptoms in all individuals with CRD. Future directions include deep phenotyping of neuropsychiatric symptoms and efforts to relate these symptoms to cellular defects.
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Affiliation(s)
- Rebecca J Levy
- Division of Medical Genetics in the Department of Pediatrics, Stanford University, Stanford, California; Division of Child Neurology in the Department of Neurology, Stanford University, Stanford, California
| | | | - Jack F G Underwood
- Neuroscience & Mental Health Innovation Institute, Cardiff University, Cardiff, Wales, UK
| | - Jeremy Hall
- Neuroscience & Mental Health Innovation Institute, Cardiff University, Cardiff, Wales, UK
| | - Jonathan A Bernstein
- Division of Medical Genetics in the Department of Pediatrics, Stanford University, Stanford, California.
| | - Sergiu P Pașca
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Stanford Brain Organogenesis, Wu Tsai Neurosciences Institute and Bio-X, Stanford University, Stanford, California.
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6
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Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM, Addison C, Akiyama M, Albert CM, Aliev F, Alonso A, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Barr RG, Bartz TM, Becker DM, Bielak LF, Benjamin EJ, Bis JC, Bjornsdottir G, Blangero J, Bleecker ER, Boardman JD, Boerwinkle E, Boomsma DI, Boorgula MP, Bowden DW, Brody JA, Cade BE, Chasman DI, Chavan S, Chen YDI, Chen Z, Cheng I, Cho MH, Choquet H, Cole JW, Cornelis MC, Cucca F, Curran JE, de Andrade M, Dick DM, Docherty AR, Duggirala R, Eaton CB, Ehringer MA, Esko T, Faul JD, Fernandes Silva L, Fiorillo E, Fornage M, Freedman BI, Gabrielsen ME, Garrett ME, Gharib SA, Gieger C, Gillespie N, Glahn DC, Gordon SD, Gu CC, Gu D, Gudbjartsson DF, Guo X, Haessler J, Hall ME, Haller T, Harris KM, He J, Herd P, Hewitt JK, Hickie I, Hidalgo B, Hokanson JE, Hopfer C, Hottenga J, Hou L, Huang H, Hung YJ, Hunter DJ, Hveem K, Hwang SJ, Hwu CM, Iacono W, Irvin MR, Jee YH, Johnson EO, Joo YY, Jorgenson E, Justice AE, Kamatani Y, Kaplan RC, Kaprio J, Kardia SLR, Keller MC, Kelly TN, Kooperberg C, Korhonen T, Kraft P, Krauter K, Kuusisto J, Laakso M, Lasky-Su J, Lee WJ, Lee JJ, Levy D, Li L, Li K, Li Y, Lin K, Lind PA, Liu C, Lloyd-Jones DM, Lutz SM, Ma J, Mägi R, Manichaikul A, Martin NG, Mathur R, Matoba N, McArdle PF, McGue M, McQueen MB, Medland SE, Metspalu A, Meyers DA, Millwood IY, Mitchell BD, Mohlke KL, Moll M, Montasser ME, Morrison AC, Mulas A, Nielsen JB, North KE, Oelsner EC, Okada Y, Orrù V, Palmer ND, Palviainen T, Pandit A, Park SL, Peters U, Peters A, Peyser PA, Polderman TJC, Rafaels N, Redline S, Reed RM, Reiner AP, Rice JP, Rich SS, Richmond NE, Roan C, Rotter JI, Rueschman MN, Runarsdottir V, Saccone NL, Schwartz DA, Shadyab AH, Shi J, Shringarpure SS, Sicinski K, Skogholt AH, Smith JA, Smith NL, Sotoodehnia N, Stallings MC, Stefansson H, Stefansson K, Stitzel JA, Sun X, Syed M, Tal-Singer R, Taylor AE, Taylor KD, Telen MJ, Thai KK, Tiwari H, Turman C, Tyrfingsson T, Wall TL, Walters RG, Weir DR, Weiss ST, White WB, Whitfield JB, Wiggins KL, Willemsen G, Willer CJ, Winsvold BS, Xu H, Yanek LR, Yin J, Young KL, Young KA, Yu B, Zhao W, Zhou W, Zöllner S, Zuccolo L, Batini C, Bergen AW, Bierut LJ, David SP, Gagliano Taliun SA, Hancock DB, Jiang B, Munafò MR, Thorgeirsson TE, Liu DJ, Vrieze S. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature 2022; 612:720-724. [PMID: 36477530 PMCID: PMC9771818 DOI: 10.1038/s41586-022-05477-4] [Citation(s) in RCA: 132] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/25/2022] [Indexed: 12/12/2022]
Abstract
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.
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Affiliation(s)
| | - Xingyan Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fang Chen
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Chen Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Shuang Gao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Yu Jiang
- Department of Epidemiology & Population Health at Stanford University, Stanford, CA, USA
| | | | - Jacqueline M Otto
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Clifton Addison
- Jackson Heart Study (JHS) Graduate Training and Education Center (GTEC), Department of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, MS, USA
| | - Masato Akiyama
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Ocular Pathology and Imaging Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Christine M Albert
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donna K Arnett
- Dean's Office and Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Allison E Ashley-Koch
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Aneel A Ashrani
- Division of Hematology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Tempus, Chicago, IL, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Emelia J Benjamin
- Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Jason D Boardman
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dorret I Boomsma
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sameer Chavan
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Cheng
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hélène Choquet
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - John W Cole
- Department of Neurology, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA
- Division of Vascular Neurology, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Mariza de Andrade
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Danielle M Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
- Huntsman Mental Health Institute, Salt Lake City, UT, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Charles B Eaton
- Department of Family Medicine, Brown University, Providence, RI, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Tõnu Esko
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Lilian Fernandes Silva
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine-Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Melanie E Garrett
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
- Center for Lung Biology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
| | - David C Glahn
- Department of Psychiatry & Behavioral Sciences, Boston Children's Hospital & Harvard Medical School, Boston, MA, USA
| | - Scott D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Charles C Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Department of Epidemiology and Key Laboratory of Cardiovascular Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael E Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Toomas Haller
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kathleen Mullan Harris
- Department of Sociology and the Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Pamela Herd
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Ian Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christian Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Center, Denver, CO, USA
| | - JoukeJan Hottenga
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hongyan Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, 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 (NTNU), Trondheim, Norway
- Department of Research, Innovation and Education, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
- Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Yoonjung Y Joo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Institute of Data Science, Korea University, Seoul, South Korea
| | | | - Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Robert C Kaplan
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Charles Kooperberg
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kenneth Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
- Center for Medicine and Clinical Research, Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jessica Lasky-Su
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - James J Lee
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Kevin Li
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Yuqing Li
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Donald M Lloyd-Jones
- Departments of Preventive Medicine, Medicine, and Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sharon M Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Biostatics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiantao Ma
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Reedik Mägi
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Nana Matoba
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genetics, UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Patrick F McArdle
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matthew B McQueen
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | | | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Jonas B Nielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Yukinori Okada
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Anita Pandit
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - S Lani Park
- Population Sciences of the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tinca J C Polderman
- Department of Clinical Developmental Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nicholas Rafaels
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - John P Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicole E Richmond
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carol Roan
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael N Rueschman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Nancy L Saccone
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Schwartz
- Division of Pulmonary Sciences and Critical Care Medicine; Department of Medicine and Immunology, University of Colorado, Aurora, CO, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Kamil Sicinski
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Xiao Sun
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Moin Syed
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Amy E Taylor
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marilyn J Telen
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
| | - Khanh K Thai
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Hemant Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Tamara L Wall
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Scott T Weiss
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wendy B White
- Jackson Heart Study Undergraduate Training and Education Center, Tougaloo College, Tougaloo, MS, USA
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Kerri L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gonneke Willemsen
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Bendik S Winsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jie Yin
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Health Data Science Centre, Fondazione Human Technopole, Milan, Italy
| | - Chiara Batini
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Andrew W Bergen
- Oregon Research Institute, Springfield, OR, USA
- BioRealm, LLC, Walnut, CA, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sean P David
- Outcomes Research Network & Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah A Gagliano Taliun
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Neurosciences, Université de Montréal, Montréal, Québec, Canada
- Research Centre, Montréal Heart Institute, Montréal, Québec, Canada
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Bibo Jiang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | | | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
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7
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Martins HC, Gilardi C, Sungur AÖ, Winterer J, Pelzl MA, Bicker S, Gross F, Kisko TM, Malikowska‐Racia N, Braun MD, Brosch K, Nenadic I, Stein F, Meinert S, Schwarting RKW, Dannlowski U, Kircher T, Wöhr M, Schratt G. Bipolar‐associated
miR
‐499‐5p controls neuroplasticity by downregulating the Cav1.2 subunit
CACNB2. EMBO Rep 2022; 23:e54420. [PMID: 35969184 PMCID: PMC9535808 DOI: 10.15252/embr.202154420] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 12/02/2022] Open
Abstract
Bipolar disorder (BD) is a chronic mood disorder characterized by manic and depressive episodes. Dysregulation of neuroplasticity and calcium homeostasis are frequently observed in BD patients, but the underlying molecular mechanisms are largely unknown. Here, we show that miR‐499‐5p regulates dendritogenesis and cognitive function by downregulating the BD risk gene CACNB2. miR‐499‐5p expression is increased in peripheral blood of BD patients, as well as in the hippocampus of rats which underwent juvenile social isolation. In rat hippocampal neurons, miR‐499‐5p impairs dendritogenesis and reduces surface expression and activity of the L‐type calcium channel Cav1.2. We further identified CACNB2, which encodes a regulatory β‐subunit of Cav1.2, as a direct functional target of miR‐499‐5p in neurons. miR‐499‐5p overexpression in the hippocampus in vivo induces short‐term memory impairments selectively in rats haploinsufficient for the Cav1.2 pore forming subunit Cacna1c. In humans, miR‐499‐5p expression is negatively associated with gray matter volumes of the left superior temporal gyrus, a region implicated in auditory and emotional processing. We propose that stress‐induced miR‐499‐5p overexpression contributes to dendritic impairments, deregulated calcium homeostasis, and neurocognitive dysfunction in BD.
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Affiliation(s)
- Helena C Martins
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - Carlotta Gilardi
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - A Özge Sungur
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
- Center for Mind, Brain, and Behavior Philipps‐University of Marburg Marburg Germany
| | - Jochen Winterer
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - Michael A Pelzl
- Institute for Physiological Chemistry, Biochemical‐Pharmacological Center Marburg Philipps‐University of Marburg Marburg Germany
- Psychiatry and Psychotherapy University of Tübingen Tübingen Germany
| | - Silvia Bicker
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - Fridolin Gross
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - Theresa M Kisko
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
| | - Natalia Malikowska‐Racia
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
- Department of Behavioral Neuroscience and Drug Development, Maj Institute of Pharmacology Polish Academy of Sciences Krakow Poland
| | - Moria D Braun
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy University of Marburg Marburg Germany
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy University of Marburg Marburg Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy University of Marburg Marburg Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry University of Münster Münster Germany
| | - Rainer K W Schwarting
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
- Center for Mind, Brain, and Behavior Philipps‐University of Marburg Marburg Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry University of Münster Münster Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy University of Marburg Marburg Germany
| | - Markus Wöhr
- Behavioural Neuroscience, Experimental and Biological Psychology Faculty of Psychology, Philipps‐University of Marburg Marburg Germany
- Center for Mind, Brain, and Behavior Philipps‐University of Marburg Marburg Germany
- Social and Affective Neuroscience Research Group, Laboratory of Biological Psychology, Research Unit Brain and Cognition, Faculty of Psychology and Educational Sciences KU Leuven Leuven Belgium
- Leuven Brain Institute KU Leuven Leuven Belgium
| | - Gerhard Schratt
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience Swiss Federal Institute of Technology ETH Zurich Switzerland
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8
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de Marco A, Scozia G, Manfredi L, Conversi D. A Systematic Review of Genetic Polymorphisms Associated with Bipolar Disorder Comorbid to Substance Abuse. Genes (Basel) 2022; 13:genes13081303. [PMID: 35893041 PMCID: PMC9330731 DOI: 10.3390/genes13081303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 01/09/2023] Open
Abstract
It is currently unknown which genetic polymorphisms are involved in substance use disorder (SUD) comorbid with bipolar disorder (BD). The research on polymorphisms in BD comorbid with SUD (BD + SUD) is summarized in this systematic review. We looked for case-control studies that genetically compared adults and adolescents with BD and SUD, healthy controls, and BD without SUD. PRISMA was used to create our protocol, which is PROSPERO-registered (identification: CRD4221270818). The following bibliographic databases were searched indefinitely until December 2021 to identify potentially relevant articles: PubMed, PsycINFO, Scopus, and Web of Science. This systematic review, after the qualitative analysis of the study selection, included 17 eligible articles. In the selected studies, 66 polymorphisms in 29 genes were investigated. The present work delivers a group of potentially valuable genetic polymorphisms associated with BD + SUD: rs11600996 (ARNTL), rs228642/rs228682/rs2640909 (PER3), PONQ192R (PON1), rs945032 (BDKRB2), rs1131339 (NR4A3), and rs6971 (TSPO). It is important to note that none of those findings have been confirmed by two or more studies; thus, we believe that all the polymorphisms identified in this review require additional evidence to be confirmed.
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Affiliation(s)
- Adriano de Marco
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - Gabriele Scozia
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- PhD Program in Behavioral Neuroscience, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy
| | - Lucia Manfredi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - David Conversi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- Correspondence:
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9
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Roles and mechanisms of ankyrin-G in neuropsychiatric disorders. Exp Mol Med 2022; 54:867-877. [PMID: 35794211 PMCID: PMC9356056 DOI: 10.1038/s12276-022-00798-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/17/2022] [Accepted: 03/23/2022] [Indexed: 12/20/2022] Open
Abstract
Ankyrin proteins act as molecular scaffolds and play an essential role in regulating cellular functions. Recent evidence has implicated the ANK3 gene, encoding ankyrin-G, in bipolar disorder (BD), schizophrenia (SZ), and autism spectrum disorder (ASD). Within neurons, ankyrin-G plays an important role in localizing proteins to the axon initial segment and nodes of Ranvier or to the dendritic shaft and spines. In this review, we describe the expression patterns of ankyrin-G isoforms, which vary according to the stage of brain development, and consider their functional differences. Furthermore, we discuss how posttranslational modifications of ankyrin-G affect its protein expression, interactions, and subcellular localization. Understanding these mechanisms leads us to elucidate potential pathways of pathogenesis in neurodevelopmental and psychiatric disorders, including BD, SZ, and ASD, which are caused by rare pathogenic mutations or changes in the expression levels of ankyrin-G in the brain. Mutations affecting the production, distribution, or function of the ankyrin-G protein may contribute to a variety of different neuropsychiatric disorders. Ankyrin-G is typically observed at the synapses between neurons, and contributes to intercellular adhesion and signaling along with other important functions. Peter Penzes and colleagues at Northwestern University, Chicago, USA, review the biology of this protein and identify potential mechanisms by which ankyrin-G mutations might impair healthy brain development. Mutations in the gene encoding this protein are strongly linked with bipolar disorder, but have also been tentatively connected to autism spectrum disorders and schizophrenia. The authors highlight physiologically important interactions with a diverse array of other brain proteins, which can in turn be modulated by various chemical modifications to ankyrin-G, and conclude that drugs that influence these modifications could have potential therapeutic value.
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10
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de Oliveira Figueiredo EC, Calì C, Petrelli F, Bezzi P. Emerging evidence for astrocyte dysfunction in schizophrenia. Glia 2022; 70:1585-1604. [PMID: 35634946 PMCID: PMC9544982 DOI: 10.1002/glia.24221] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 05/09/2022] [Accepted: 05/13/2022] [Indexed: 12/30/2022]
Abstract
Schizophrenia is a complex, chronic mental health disorder whose heterogeneous genetic and neurobiological background influences early brain development, and whose precise etiology is still poorly understood. Schizophrenia is not characterized by gross brain pathology, but involves subtle pathological changes in neuronal populations and glial cells. Among the latter, astrocytes critically contribute to the regulation of early neurodevelopmental processes, and any dysfunctions in their morphological and functional maturation may lead to aberrant neurodevelopmental processes involved in the pathogenesis of schizophrenia, such as mitochondrial biogenesis, synaptogenesis, and glutamatergic and dopaminergic transmission. Studies of the mechanisms regulating astrocyte maturation may therefore improve our understanding of the cellular and molecular mechanisms underlying the pathogenesis of schizophrenia.
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Affiliation(s)
| | - Corrado Calì
- Department of Neuroscience, University of Torino, Torino, Italy.,Neuroscience Institute Cavalieri Ottolenghi, Orbassano, Italy
| | - Francesco Petrelli
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Paola Bezzi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Pharmacology and Physiology, University of Rome Sapienza, Rome, Italy
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11
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Wu Y, Zhong Y, Liao X, Miao X, Yu J, Lai X, Zhang Y, Ma C, Pan H, Wang S. Transmembrane protein 108 inhibits the proliferation and myelination of oligodendrocyte lineage cells in the corpus callosum. Mol Brain 2022; 15:33. [PMID: 35410424 PMCID: PMC8996597 DOI: 10.1186/s13041-022-00918-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 03/31/2022] [Indexed: 11/22/2022] Open
Abstract
Background Abnormal white matter is a common neurobiological change in bipolar disorder, and dysregulation of myelination in oligodendrocytes (OLs) is the cause. Transmembrane protein 108 (Tmem108), as a susceptible gene of bipolar disorder, is expressed higher in OL lineage cells than any other lineage cells in the central nervous system. Moreover, Tmem108 mutant mice exhibit mania-like behaviors, belonging to one of the signs of bipolar disorder. However, it is unknown whether Tmem108 regulates the myelination of the OLs. Results Tmem108 expression in the corpus callosum decreased with the development, and OL progenitor cell proliferation and OL myelination were enhanced in the mutant mice. Moreover, the mutant mice exhibited mania-like behavior after acute restraint stress and were susceptible to drug-induced epilepsy. Conclusions Tmem108 inhibited OL progenitor cell proliferation and mitigated OL maturation in the corpus callosum, which may also provide a new role of Tmem108 involving bipolar disorder pathogenesis. Supplementary Information The online version contains supplementary material available at 10.1186/s13041-022-00918-7.
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12
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Mutations in DISC1 alter IP 3R and voltage-gated Ca 2+ channel functioning, implications for major mental illness. Neuronal Signal 2021; 5:NS20180122. [PMID: 34956649 PMCID: PMC8663806 DOI: 10.1042/ns20180122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 10/26/2021] [Accepted: 11/08/2021] [Indexed: 12/16/2022] Open
Abstract
Disrupted in Schizophrenia 1 (DISC1) participates in a wide variety of
developmental processes of central neurons. It also serves critical roles that
underlie cognitive functioning in adult central neurons. Here we summarize
DISC1’s general properties and discuss its use as a model system for
understanding major mental illnesses (MMIs). We then discuss the cellular
actions of DISC1 that involve or regulate Ca2+ signaling in adult
central neurons. In particular, we focus on the tethering role DISC1 plays in
transporting RNA particles containing Ca2+ channel subunit RNAs,
including IP3R1, CACNA1C and CACNA2D1, and in transporting mitochondria into
dendritic and axonal processes. We also review DISC1’s role in modulating
IP3R1 activity within mitochondria-associated ER membrane (MAM).
Finally, we discuss DISC1-glycogen synthase kinase 3β (GSK3β)
signaling that regulates functional expression of voltage-gated Ca2+
channels (VGCCs) at central synapses. In each case, DISC1 regulates the movement
of molecules that impact Ca2+ signaling in neurons.
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13
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Briley PM, Liddle EB, Simmonite M, Jansen M, White TP, Balain V, Palaniyappan L, Bowtell R, Mullinger KJ, Liddle PF. Regional Brain Correlates of Beta Bursts in Health and Psychosis: A Concurrent Electroencephalography and Functional Magnetic Resonance Imaging Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:1145-1156. [PMID: 33495122 PMCID: PMC8648891 DOI: 10.1016/j.bpsc.2020.10.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/12/2020] [Accepted: 10/22/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND There is emerging evidence for abnormal beta oscillations in psychosis. Beta oscillations are likely to play a key role in the coordination of sensorimotor information that is crucial to healthy mental function. Growing evidence suggests that beta oscillations typically manifest as transient beta bursts that increase in probability following a motor response, observable as post-movement beta rebound. Evidence indicates that post-movement beta rebound is attenuated in psychosis, with greater attenuation associated with greater symptom severity and impairment. Delineating the functional role of beta bursts therefore may be key to understanding the mechanisms underlying persistent psychotic illness. METHODS We used concurrent electroencephalography and functional magnetic resonance imaging to identify blood oxygen level-dependent correlates of beta bursts during the n-back working memory task and intervening rest periods in healthy control participants (n = 30) and patients with psychosis (n = 48). RESULTS During both task blocks and intervening rest periods, beta bursts phasically activated regions implicated in task-relevant content while suppressing currently tonically active regions. Patients showed attenuated post-movement beta rebound that was associated with persisting disorganization symptoms as well as impairments in cognition and role function. Patients also showed greater task-related reductions in overall beta burst rate and showed greater, more extensive, beta burst-related blood oxygen level-dependent activation. CONCLUSIONS Our evidence supports a model in which beta bursts reactivate latently maintained sensorimotor information and are dysregulated and inefficient in psychosis. We propose that abnormalities in the mechanisms by which beta bursts coordinate reactivation of contextually appropriate content can manifest as disorganization, working memory deficits, and inaccurate forward models and may underlie a core deficit associated with persisting symptoms and impairment.
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Affiliation(s)
- Paul M Briley
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Nottinghamshire Healthcare NHS Foundation Trust, Mapperley, Nottingham, United Kingdom
| | - Elizabeth B Liddle
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Molly Simmonite
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Marije Jansen
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Thomas P White
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Vijender Balain
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Burnaby Centre for Mental Health and Addictions, Burnaby, British Columbia, Canada
| | - Lena Palaniyappan
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Department of Psychiatry, University of Western Ontario, London, Ontario, Canada; Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada
| | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Karen J Mullinger
- Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom; School of Psychology, University of Birmingham, Edgbaston, Birmingham, United Kingdom
| | - Peter F Liddle
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom.
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14
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A human iPSC-astroglia neurodevelopmental model reveals divergent transcriptomic patterns in schizophrenia. Transl Psychiatry 2021; 11:554. [PMID: 34716291 PMCID: PMC8556332 DOI: 10.1038/s41398-021-01681-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 09/20/2021] [Accepted: 10/01/2021] [Indexed: 12/17/2022] Open
Abstract
While neurodevelopmental abnormalities have been associated with schizophrenia (SCZ), the role of astroglia in disease pathophysiology remains poorly understood. In the present study, we used a human induced pluripotent stem cell (iPSC)-derived astrocyte model to investigate the temporal patterns of astroglia differentiation during developmental stages critical for SCZ using RNA sequencing. The model generated astrocyte-specific gene expression patterns during differentiation that corresponded well to astroglia-specific expression signatures of in vivo cortical fetal development. Using this model we identified SCZ-specific expression dynamics, and found that SCZ-associated differentially expressed genes were significantly enriched in the medial prefrontal cortex, striatum, and temporal lobe, targeting VWA5A and ADAMTS19. In addition, SCZ astrocytes displayed alterations in calcium signaling, and significantly decreased glutamate uptake and metalloproteinase activity relative to controls. These results implicate novel transcriptional dynamics in astrocyte differentiation in SCZ together with functional changes that are potentially important biological components of SCZ pathology.
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15
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Yue Q, Yang J, Shu Q, Bai M, Shu K. Convolutional Neural Network Visualization for Identification of Risk Genes in Bipolar Disorder. Curr Mol Med 2021; 20:429-441. [PMID: 31782363 DOI: 10.2174/1566524019666191129111753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/16/2019] [Accepted: 10/30/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a type of chronic emotional disorder with a complex genetic structure. However, its genetic molecular mechanism is still unclear, which makes it insufficient to be diagnosed and treated. METHODS AND RESULTS In this paper, we proposed a model for predicting BD based on single nucleotide polymorphisms (SNPs) screening by genome-wide association study (GWAS), which was constructed by a convolutional neural network (CNN) that predicted the probability of the disease. According to the difference of GWAS threshold, two sets of data were named: group P001 and group P005. And different convolutional neural networks are set for the two sets of data. The training accuracy of the model trained with group P001 data is 96%, and the test accuracy is 91%. The training accuracy of the model trained with group P005 data is 94.5%, and the test accuracy is 92%. At the same time, we used gradient weighted class activation mapping (Grad-CAM) to interpret the prediction model, indirectly to identify high-risk SNPs of BD. In the end, we compared these high-risk SNPs with human gene annotation information. CONCLUSION The model prediction results of the group P001 yielded 137 risk genes, of which 22 were reported to be associated with the occurrence of BD. The model prediction results of the group P005 yielded 407 risk genes, of which 51 were reported to be associated with the occurrence of BD.
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Affiliation(s)
- Qixuan Yue
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Jie Yang
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Qian Shu
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Mingze Bai
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Kunxian Shu
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
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16
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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: 8] [Impact Index Per Article: 2.7] [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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17
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Hidalgo S, Campusano JM, Hodge JJL. The Drosophila ortholog of the schizophrenia-associated CACNA1A and CACNA1B voltage-gated calcium channels regulate memory, sleep and circadian rhythms. Neurobiol Dis 2021; 155:105394. [PMID: 34015490 DOI: 10.1016/j.nbd.2021.105394] [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] [Received: 01/26/2021] [Revised: 05/10/2021] [Accepted: 05/14/2021] [Indexed: 01/04/2023] Open
Abstract
Schizophrenia exhibits up to 80% heritability. A number of genome wide association studies (GWAS) have repeatedly shown common variants in voltage-gated calcium (Cav) channel genes CACNA1C, CACNA1I and CACNA1G have a major contribution to the risk of the disease. More recently, studies using whole exome sequencing have also found that CACNA1B (Cav2.2 N-type) deletions and rare disruptive variants in CACNA1A (Cav2.1 P/Q-type) are associated with schizophrenia. The negative symptoms of schizophrenia include behavioural defects such as impaired memory, sleep and circadian rhythms. It is not known how variants in schizophrenia-associated genes contribute to cognitive and behavioural symptoms, thus hampering the development of treatment for schizophrenia symptoms. In order to address this knowledge gap, we studied behavioural phenotypes in a number of loss of function mutants for the Drosophila ortholog of the Cav2 gene family called cacophony (cac). cac mutants showed several behavioural features including decreased night-time sleep and hyperactivity similar to those reported in human patients. The change in timing of sleep-wake cycles suggested disrupted circadian rhythms, with the loss of night-time sleep being caused by loss of cac just in the circadian clock neurons. These animals also showed a reduction in rhythmic circadian behaviour a phenotype that also could be mapped to the central clock. Furthermore, reduction of cac just in the clock resulted in a lengthening of the 24 h period. In order to understand how loss of Cav2 function may lead to cognitive deficits and underlying cellular pathophysiology we targeted loss of function of cac to the memory centre of the fly, called the mushroom bodies (MB). This manipulation was sufficient to cause reduction in both short- and intermediate-term associative memory. Memory impairment was accompanied by a decrease in Ca2+ transients in response to a depolarizing stimulus, imaged in the MB presynaptic terminals. This work shows loss of cac Cav2 channel function alone causes a number of cognitive and behavioural deficits and underlying reduced neuronal Ca2+ transients, establishing Drosophila as a high-throughput in vivo genetic model to study the Cav channel pathophysiology related to schizophrenia.
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Affiliation(s)
- Sergio Hidalgo
- School of Physiology, Pharmacology and Neuroscience, Faculty of Life Science, University of Bristol, UK; Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Chile
| | - Jorge M Campusano
- Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Chile
| | - James J L Hodge
- School of Physiology, Pharmacology and Neuroscience, Faculty of Life Science, University of Bristol, UK.
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18
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Gao W, Cui D, Jiao Q, Su L, Yang R, Lu G. Brain structural alterations in pediatric bipolar disorder patients with and without psychotic symptoms. J Affect Disord 2021; 286:87-93. [PMID: 33714175 DOI: 10.1016/j.jad.2021.02.077] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/02/2021] [Accepted: 02/28/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Bipolar disorder (BD) with psychotic symptoms is a specific phenotype that presents greater risk of relapse and worse outcomes than nonpsychotic BD, however, the underlying mechanisms remain unknown and are less revealed in youth. Thus, the aims of the present study were to investigate brain structural alterations in pediatric bipolar disorder (PBD) patients with and without psychotic symptoms, and specifically to evaluate the impact of psychotic features on gray matter volume (GMV) in PBD patients. METHOD A total of 73 individuals were recruited into three groups, n = 28, psychotic PBD, P-PBD; n = 26, nonpsychotic PBD, NP-PBD; and n = 19, healthy controls, HC. All participants underwent high-resolution structural magnetic resonance scans. Voxel-based morphometry was used to investigate GMV alterations. Analyses of variance (ANOVA) were performed to obtain brain regions with significant differences among three groups and then post hoc tests were calculated for inter-group comparisons. RESULTS The ANOVA revealed significant GMV differences among three groups in the bilateral amygdala-hippocampus-parahippocampal complex (AMY-HIS-ParaHIS complex), left superior temporal gyrus (STG), left inferior frontal gyrus (IFG), bilateral putamen (PUT), left precentral gyrus (PG), left supramarginal gyrus (SMG), and right inferior parietal lobule (IPL). Compared with HCs, P-PBD patients showed decreased GMV in the bilateral AMY-HIS-ParaHIS complex, left STG, left IFG, bilateral PUT, and left PG; while NP-PBD patients exhibited decreased GMV in the left IFG, left PG, left SMG, and right IPL. Furthermore, P-PBD patients showed increased GMV in the right IPL when comparing to NP-PBD patients. LIMITATION The present findings require replication in larger samples and verification in medication free subjects. CONCLUSION The present findings suggested that psychotic features in PBD were associated with extensive brain structural lesions mainly located in the prefrontal-limbic-striatum circuit, which might represent the pathological basis of more sever symptoms in patients with psychotic PBD.
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Affiliation(s)
- Weijia Gao
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China
| | - Dong Cui
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China
| | - Qing Jiao
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.
| | - Linyan Su
- Mental Health Institute, The Second Xiangya Hospital of Central South University, Key Laboratory of Psychiatry and Mental Health of Hunan Province, National Technology Institute of Psychiatry, Changsha, Hunan, China.
| | - Rongwang Yang
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China.
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu, China
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19
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Hwang HC, Kim SM, Han DH. Different facial recognition patterns in schizophrenia and bipolar disorder assessed using a computerized emotional perception test and fMRI. J Affect Disord 2021; 279:83-88. [PMID: 33039778 DOI: 10.1016/j.jad.2020.09.125] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/07/2020] [Accepted: 09/28/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND The emotional perception test is considered an effective tool in differentiating between schizophrenia and bipolar disorder. We hypothesized that schizophrenic patients would show decreased emotional perception ability compared with bipolar patients and that the disrupted emotional perception ability would be associated with the disrupted functional connectivity within the fronto-temporal-occipital circuit. METHODS In total, 55 schizophrenic patients, 54 bipolar patients, and 50 healthy participants were evaluated using a computerized assessment tool for facial emotion recognition, resting-state magnetic resonance imaging, and Korean versions of the Positive and Negative Syndrome Scale (PANSS) and Young Mania Rating Scale (YMRS). RESULTS The emotional perception index (EPI) was higher in the schizophrenia group than in the bipolar and healthy control (lowest) groups. The PANSS total and YMRS scores positively correlated with the EPI in schizophrenia and bipolar patients. In healthy controls, EPI positively correlated with regional homogeneity (ReHo) within the left fusiform gyrus, left superior frontal gyrus, left inferior frontal gyrus, and right inferior temporal gyrus. In schizophrenic patients, EPI negatively correlated with ReHo within the frontal lobe and left fusiform gyrus. In bipolar patients, EPI positively correlated with ReHo within the left parietal lobe and negatively correlated with ReHo within both frontal lobes. LIMITATIONS More specific definition of EPI should be suggested. Due to lack of cognitive function tests, cognitive functions might be biased throughout the analyses. CONCLUSIONS Schizophrenic patients showed decreased emotion recognition abilities compared with bipolar patients. Further, schizophrenic patients showed less frontal cortex usage, while bipolar patients used the parietal lobe to compensate for facial emotion recognition.
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Affiliation(s)
- Hyun Chan Hwang
- Department of Psychiatry, Chung Ang University Hospital, Seoul, South Korea
| | - Sun Mi Kim
- Department of Psychiatry, Chung Ang University Hospital, Seoul, South Korea
| | - Doug Hyun Han
- Department of Psychiatry, Chung Ang University Hospital, Seoul, South Korea.
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20
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Bipolar disorder: An evolutionary psychoneuroimmunological approach. Neurosci Biobehav Rev 2021; 122:28-37. [PMID: 33421542 DOI: 10.1016/j.neubiorev.2020.12.031] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/19/2020] [Accepted: 12/27/2020] [Indexed: 12/19/2022]
Abstract
Bipolar disorder is a mental health disorder characterized by extreme shifts in mood, high suicide rate, sleep problems, and dysfunction of psychological traits like self-esteem (feeling inferior when depressed and superior when manic). Bipolar disorder is rare among populations that have not adopted contemporary Western lifestyles, which supports the hypothesis that bipolar disorder results from a mismatch between Homo sapiens's evolutionary and current environments. Recent studies have connected bipolar disorder with low-grade inflammation, the malfunctioning of the internal clock, and the resulting sleep disturbances. Stress is often a triggering factor for mania and sleep problems, but stress also causes low-grade inflammation. Since inflammation desynchronizes the internal clock, chronic stress and inflammation are the primary biological mechanisms behind bipolar disorder. Chronic stress and inflammation are driven by contemporary Western lifestyles, including stressful social environments, unhealthy dietary patterns, limited physical activity, and obesity. The treatment of bipolar disorder should focus on reducing stress, stress sensitivity, and inflammation by lifestyle changes rather than just temporarily alleviating symptoms with psychopharmacological interventions.
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21
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Yu J, Liao X, Zhong Y, Wu Y, Lai X, Jiao H, Yan M, Zhang Y, Ma C, Wang S. The Candidate Schizophrenia Risk Gene Tmem108 Regulates Glucose Metabolism Homeostasis. Front Endocrinol (Lausanne) 2021; 12:770145. [PMID: 34690937 PMCID: PMC8531597 DOI: 10.3389/fendo.2021.770145] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 09/23/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe psychiatric disease affected by genetic factors and environmental contributors, and premorbid abnormality of glucose metabolism is one of the SCZ characteristics supposed to contribute to the disease's pathological process. Transmembrane protein 108 (Tmem108) is a susceptible gene associated with multiple psychiatric diseases, including SCZ. Moreover, Tmem108 mutant mice exhibit SCZ-like behaviors in the measurement of sensorimotor gating. However, it is unknown whether Tmem108 regulates glucose metabolism homeostasis while it involves SCZ pathophysiological process. RESULTS In this research, we found that Tmem108 mutant mice exhibited glucose intolerance, insulin resistance, and disturbed metabolic homeostasis. Food and oxygen consumption decreased, and urine production increased, accompanied by weak fatigue resistance in the mutant mice. Simultaneously, the glucose metabolic pathway was enhanced, and lipid metabolism decreased in the mutant mice, consistent with the elevated respiratory exchange ratio (RER). Furthermore, metformin attenuated plasma glucose levels and improved sensorimotor gating in Tmem108 mutant mice. CONCLUSIONS Hyperglycemia occurs more often in SCZ patients than in control, implying that these two diseases share common biological mechanisms, here we demonstrate that the Tmem108 mutant may represent such a comorbid mechanism.
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Affiliation(s)
- Jianbo Yu
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Xufeng Liao
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Yanzi Zhong
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- Department of Biology, Senior Middle School of Yongfeng, Ji’an, China
| | - Yongqiang Wu
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Xinsheng Lai
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Huifeng Jiao
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Min Yan
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Yu Zhang
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Chaolin Ma
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
- *Correspondence: Chaolin Ma, ; Shunqi Wang,
| | - Shunqi Wang
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
- *Correspondence: Chaolin Ma, ; Shunqi Wang,
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22
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Yeow SQZ, Loh KWZ, Soong TW. Calcium Channel Splice Variants and Their Effects in Brain and Cardiovascular Function. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1349:67-86. [DOI: 10.1007/978-981-16-4254-8_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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23
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Khan TA, Revah O, Gordon A, Yoon SJ, Krawisz AK, Goold C, Sun Y, Kim CH, Tian Y, Li MY, Schaepe JM, Ikeda K, Amin ND, Sakai N, Yazawa M, Kushan L, Nishino S, Porteus MH, Rapoport JL, Bernstein JA, O'Hara R, Bearden CE, Hallmayer JF, Huguenard JR, Geschwind DH, Dolmetsch RE, Paşca SP. Neuronal defects in a human cellular model of 22q11.2 deletion syndrome. Nat Med 2020; 26:1888-1898. [PMID: 32989314 PMCID: PMC8525897 DOI: 10.1038/s41591-020-1043-9] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 07/30/2020] [Indexed: 11/09/2022]
Abstract
22q11.2 deletion syndrome (22q11DS) is a highly penetrant and common genetic cause of neuropsychiatric disease. Here we generated induced pluripotent stem cells from 15 individuals with 22q11DS and 15 control individuals and differentiated them into three-dimensional (3D) cerebral cortical organoids. Transcriptional profiling across 100 days showed high reliability of differentiation and revealed changes in neuronal excitability-related genes. Using electrophysiology and live imaging, we identified defects in spontaneous neuronal activity and calcium signaling in both organoid- and 2D-derived cortical neurons. The calcium deficit was related to resting membrane potential changes that led to abnormal inactivation of voltage-gated calcium channels. Heterozygous loss of DGCR8 recapitulated the excitability and calcium phenotypes and its overexpression rescued these defects. Moreover, the 22q11DS calcium abnormality could also be restored by application of antipsychotics. Taken together, our study illustrates how stem cell derived models can be used to uncover and rescue cellular phenotypes associated with genetic forms of neuropsychiatric disease.
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Affiliation(s)
- Themasap A Khan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Program in Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Omer Revah
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Aaron Gordon
- Program in Neurogenetics, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Se-Jin Yoon
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Anna K Krawisz
- Department of Neurobiology, Stanford University, Stanford, CA, USA
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Carleton Goold
- Department of Neurobiology, Stanford University, Stanford, CA, USA
| | - Yishan Sun
- Department of Neurobiology, Stanford University, Stanford, CA, USA
| | - Chul Hoon Kim
- Department of Neurobiology, Stanford University, Stanford, CA, USA
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yuan Tian
- Program in Neurogenetics, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
- Interdepartmental PhD Program in Bioinformatics, University of California Los Angeles, Los Angeles, CA, USA
| | - Min-Yin Li
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Julia M Schaepe
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Kazuya Ikeda
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Neal D Amin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Noriaki Sakai
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Masayuki Yazawa
- Department of Neurobiology, Stanford University, Stanford, CA, USA
- Columbia Stem Cell Initiative, Department of Rehabilitation and Regenerative Medicine, Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Leila Kushan
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Seiji Nishino
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | | | - Judith L Rapoport
- National Institute of Mental Health, Child Psychiatry Branch, Bethesda, MD, USA
| | | | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Joachim F Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - John R Huguenard
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Daniel H Geschwind
- Program in Neurogenetics, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, University of California Los Angeles, Los Angeles, CA, USA
- Institute of Precision Health, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Sergiu P Paşca
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
- Stanford Brain Organogenesis Program, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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Dhuriya YK, Sharma D. Neuronal Plasticity: Neuronal Organization is Associated with Neurological Disorders. J Mol Neurosci 2020; 70:1684-1701. [PMID: 32504405 DOI: 10.1007/s12031-020-01555-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/13/2020] [Indexed: 12/18/2022]
Abstract
Stimuli from stressful events, attention in the classroom, and many other experiences affect the functionality of the brain by changing the structure or reorganizing the connections between neurons and their communication. Modification of the synaptic transmission is a vital mechanism for generating neural activity via internal or external stimuli. Neuronal plasticity is an important driving force in neuroscience research, as it is the basic process underlying learning and memory and is involved in many other functions including brain development and homeostasis, sensorial training, and recovery from brain injury. Indeed, neuronal plasticity has been explored in numerous studies, but it is still not clear how neuronal plasticity affects the physiology and morphology of the brain. Thus, unraveling the molecular mechanisms of neuronal plasticity is essential for understanding the operation of brain functions. In this timeline review, we discuss the molecular mechanisms underlying different forms of synaptic plasticity and their association with neurodegenerative/neurological disorders as a consequence of alterations in neuronal plasticity.
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Affiliation(s)
- Yogesh Kumar Dhuriya
- Developmental Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR) Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, 226 001, India
| | - Divakar Sharma
- Department of Biochemistry, National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Tajganj, Agra, India. .,CRF, Mass Spectrometry Laboratory, Kusuma School of Biological Sciences (KSBS), Indian Institute of Technology-Delhi (IIT-D), Delhi, 110016, India.
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25
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Integration analysis of methylation quantitative trait loci and GWAS identify three schizophrenia risk variants. Neuropsychopharmacology 2020; 45:1179-1187. [PMID: 31910432 PMCID: PMC7235211 DOI: 10.1038/s41386-020-0605-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/31/2019] [Indexed: 12/20/2022]
Abstract
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with schizophrenia (SCZ). However, prioritizing risk variants and regulatory elements for follow-up functional studies remains a major challenge. Therefore, we performed an integrated analysis to identify variants who affect methylation levels of nearby genes and contribute to the risk of SCZ, and to explore the potential role of these variants in SCZ pathogenesis. First, we used the Summary data-based Mendelian Randomization (SMR) method to integrate GWAS and methylation quantitative trait loci data. Then, the SNP-methylation combinations as associated with SCZ were replicated across multiple samples. Totally, we identified and replicated 14 and one SNP-methylation combinations in blood and brain tissues, respectively, that significantly associated with SCZ. Furthermore, our expression quantitative trait loci analysis, differential methylation analysis, neuroimaging genetics, and cognitive genetics analysis consistently supported the potential roles of these 15 SNPs in the pathogenesis of SCZ. Finally, using the convergent functional genomics method, we prioritized three risk SNPs, including rs3765971 (RERE, PSMR = 3.87 × 10-8), rs55742290 (ARL6IP4, PSMR = 1.50 × 10-7), and rs7293091 (CENPM, PSMR = 5.09 × 10-7), may represent promising risk variants in SCZ. These convergent lines of evidence suggest that three risk variants may be involved in the pathogenesis of SCZ. Further investigation of the roles of these variants in the pathogenesis of SCZ is warranted.
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26
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Brown AC, Peters JL, Parsons C, Crewther DP, Crewther SG. Efficiency in Magnocellular Processing: A Common Deficit in Neurodevelopmental Disorders. Front Hum Neurosci 2020; 14:49. [PMID: 32174819 PMCID: PMC7057243 DOI: 10.3389/fnhum.2020.00049] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 02/04/2020] [Indexed: 12/30/2022] Open
Abstract
Several neurodevelopmental disorders (NDDs) including Developmental Dyslexia (DD), Autism Spectrum Disorder (ASD), but not Attention Deficit Hyperactive Disorder (ADHD), are reported to show deficits in global motion processing. Such behavioral deficits have been linked to a temporal processing deficiency. However, to date, there have been few studies assessing the temporal processing efficiency of the Magnocellular M pathways through temporal modulation. Hence, we measured achromatic flicker fusion thresholds at high and low contrast in nonselective samples of NDDs and neurotypicals (mean age 10, range 7-12 years, n = 71) individually, and group matched, for both chronological age and nonverbal intelligence. Autistic tendencies were also measured using the Autism-Spectrum Quotient questionnaire as high AQ scores have previously been associated with the greater physiological amplitude of M-generated nonlinearities. The NDD participants presented with singular or comorbid combinations of DD, ASD, and ADHD. The results showed that ASD and DD, including those with comorbid ADHD, demonstrated significantly lower flicker fusion thresholds (FFTs) than their matched controls. Participants with a singular diagnosis of ADHD did not differ from controls in the FFTs. Overall, the entire NDD plus control populations showed a significant negative correlation between FFT and AQ scores (r = -0.269, p < 0.02 n = 71). In conclusion, this study presents evidence showing that a temporally inefficient M pathway could be the unifying network at fault across the NDDs and particularly in ASD and DD diagnoses, but not in singular diagnosis of ADHD.
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Affiliation(s)
- Alyse Christine Brown
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia.,Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Jessica Lee Peters
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - Carl Parsons
- Port Philip Specialist School, Port Melbourne, VIC, Australia
| | - David Philip Crewther
- Centre for Human Psychopharmacology, Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, VIC, Australia
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27
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Gordovez FJA, McMahon FJ. The genetics of bipolar disorder. Mol Psychiatry 2020; 25:544-559. [PMID: 31907381 DOI: 10.1038/s41380-019-0634-7] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 11/22/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BD) is one of the most heritable mental illnesses, but the elucidation of its genetic basis has proven to be a very challenging endeavor. Genome-Wide Association Studies (GWAS) have transformed our understanding of BD, providing the first reproducible evidence of specific genetic markers and a highly polygenic architecture that overlaps with that of schizophrenia, major depression, and other disorders. Individual GWAS markers appear to confer little risk, but common variants together account for about 25% of the heritability of BD. A few higher-risk associations have also been identified, such as a rare copy number variant on chromosome 16p11.2. Large scale next-generation sequencing studies are actively searching for other alleles that confer substantial risk. As our understanding of the genetics of BD improves, there is growing optimism that some clear biological pathways will emerge, providing a basis for future studies aimed at molecular diagnosis and novel therapeutics.
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Affiliation(s)
- Francis James A Gordovez
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.,College of Medicine, University of the Philippines Manila, 1000, Ermita, Manila, Philippines
| | - Francis J McMahon
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.
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28
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Bartsch VB, Lord JS, Diering GH, Zylka MJ. Mania- and anxiety-like behavior and impaired maternal care in female diacylglycerol kinase eta and iota double knockout mice. GENES, BRAIN, AND BEHAVIOR 2020; 19:e12570. [PMID: 30985063 PMCID: PMC6800745 DOI: 10.1111/gbb.12570] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 02/18/2019] [Accepted: 03/24/2019] [Indexed: 01/28/2023]
Abstract
Genome-wide association studies linked diacylglycerol kinase eta and iota to mood disorders, including bipolar disorder and schizophrenia, and both genes are expressed throughout the brain. Here, we generated and behaviorally characterized female mice lacking Dgkh alone, Dgki alone, and double Dgkh/Dgki-knockout (dKO) mice. We found that fewer than 30% of newborn pups raised by dKO females survived to weaning, while over 85% of pups survived to weaning when raised by wild-type (WT) females. Poor survival under the care of dKO mothers was unrelated to pup genotype. Moreover, pups from dKO dams survived when fostered by WT dams, suggesting the poor survival rate of dKO-raised litters was related to impaired maternal care by dKO dams. Nest building was similar between WT and dKO dams; however, some dKO females failed to retrieve any pups in a retrieval assay. Pups raised by dKO dams had smaller or absent milk spots and reduced weight, indicative of impaired nursing. Unlike WT females, postpartum dKO females showed erratic, panicked responses to cage disturbances. Virgin dKO females showed behavioral signs of anxiety and mania, which were not seen in mice lacking either Dgkh or Dgki alone. Our research indicates that combined deletion of Dgkh and Dgki impairs maternal behavior in the early postpartum period, and suggests female dKO mice model symptoms of mania and anxiety.
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Affiliation(s)
- Victoria B. Bartsch
- Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Julia S. Lord
- Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Graham H. Diering
- Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark J. Zylka
- Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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29
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Genetic Factors of Nitric Oxide's System in Psychoneurologic Disorders. Int J Mol Sci 2020; 21:ijms21051604. [PMID: 32111088 PMCID: PMC7084194 DOI: 10.3390/ijms21051604] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 02/21/2020] [Accepted: 02/23/2020] [Indexed: 12/11/2022] Open
Abstract
According to the recent data, nitric oxide (NO) is a chemical messenger that mediates functions such as vasodilation and neurotransmission, as well as displaying antimicrobial and antitumoral activities. NO has been implicated in the neurotoxicity associated with stroke and neurodegenerative diseases; neural regulation of smooth muscle, including peristalsis; and penile erections. We searched for full-text English publications from the past 15 years in Pubmed and SNPedia databases using keywords and combined word searches (nitric oxide, single nucleotide variants, single nucleotide polymorphisms, genes). In addition, earlier publications of historical interest were included in the review. In our review, we have summarized information regarding all NOS1, NOS2, NOS3, and NOS1AP single nucleotide variants (SNVs) involved in the development of mental disorders and neurological diseases/conditions. The results of the studies we have discussed in this review are contradictory, which might be due to different designs of the studies, small sample sizes in some of them, and different social and geographical characteristics. However, the contribution of genetic and environmental factors has been understudied, which makes this issue increasingly important for researchers as the understanding of these mechanisms can support a search for new approaches to pathogenetic and disease-modifying treatment.
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30
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Santarelli DM, Carroll AP, Cairns HM, Tooney PA, Cairns MJ. Schizophrenia-associated MicroRNA-Gene Interactions in the Dorsolateral Prefrontal Cortex. GENOMICS PROTEOMICS & BIOINFORMATICS 2020; 17:623-634. [PMID: 32006661 PMCID: PMC7212302 DOI: 10.1016/j.gpb.2019.10.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 10/01/2019] [Accepted: 10/23/2019] [Indexed: 12/14/2022]
Abstract
Schizophrenia-associated anomalies in gene expression in postmortem brain can be attributed to a combination of genetic and environmental influences. Given the small effect size of common variants, it is likely that we may only see the combined impact of some of these at the pathway level in small postmortem studies. At the gene level, however, there may be more impact from common environmental exposures mediated by influential epigenomic modifiers, such as microRNA (miRNA). We hypothesise that dysregulation of miRNAs and their alteration of gene expression have significant implications in the pathophysiology of schizophrenia. In this study, we integrate changes in cortical gene and miRNA expression to identify regulatory interactions and networks associated with the disorder. Gene expression analysis in post-mortem prefrontal dorsolateral cortex (BA 46) (n = 74 matched pairs of schizophrenia, schizoaffective, and control samples) was integrated with miRNA expression in the same cohort to identify gene-miRNA regulatory networks. A significant gene-miRNA interaction network was identified, including miR-92a, miR-495, and miR-134, which converged with differentially expressed genes in pathways involved in neurodevelopment and oligodendrocyte function. The capacity for miRNA to directly regulate gene expression through respective binding sites in BCL11A, PLP1, and SYT11 was also confirmed to support the biological relevance of this integrated network model. The observations in this study support the hypothesis that miRNA dysregulation is an important factor in the complex pathophysiology of schizophrenia.
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Affiliation(s)
- Danielle M Santarelli
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW 2308, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Adam P Carroll
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW 2308, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Heath M Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW 2308, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW 2308, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW 2308, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia.
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31
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A study combining whole-exome sequencing and structural neuroimaging analysis for major depressive disorder. J Affect Disord 2020; 262:31-39. [PMID: 31706157 DOI: 10.1016/j.jad.2019.10.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 10/01/2019] [Accepted: 10/27/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Genetic variations associated with major depressive disorder (MDD) may affect the structural aspects of neural networks mediated by the molecular pathways involved in neuronal survival and synaptic plasticity. However, few studies have applied a novel approach such as whole-exome sequencing (WES) analysis to investigate the genetic contribution to the neurostructural changes in MDD. METHODS In the first part of the study, we investigated rare variants of selected genes from previous WES studies using a WES analysis in 184 patients with MDD and 82 healthy controls. In the second part of the study, we explored the association between the common genetic variants from the WES analysis and cortical thickness in 91 patients with MDD and 75 healthy controls. The gray-matter thickness of each cortical region was measured using FreeSurfer. RESULTS We identified recurrent non-silent variants in 24 MDD-related genes including FASN, MYH13, UNC13D, LILRA1, CACNA1B, TRIO, HOMER3, and BCAR3, and observed eleven recurrently altered copy number alternations where a gain on 15q11.2 and losses on 7q34 and 15q11.1-q11.2 in MDD genomes. We also found that rs11592462 in CDH23, a calcium-dependent cell-adhesion molecule encoding gene, was significantly associated with thinning in the right anterior cingulate cortex. LIMITATION The small sample size may lead our findings to be underpowered regarding rare variants. CONCLUSION The present study identified that non-synonymous rare variants were significantly associated with risk of MDD and found that genetic contributions to the development of MDD may be mediated by alterations in cortical thickness of emotion-processing neural circuits.
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Abstract
PURPOSE OF REVIEW To better understand the shared basis of language and mental health, this review examines the behavioral and neurobiological features of aberrant language in five major neuropsychiatric conditions. Special attention is paid to genes implicated in both language and neuropsychiatric disorders, as they reveal biological domains likely to underpin the processes controlling both. RECENT FINDINGS Abnormal language and communication are common manifestations of neuropsychiatric conditions, and children with impaired language are more likely to develop psychiatric disorders than their peers. Major themes in the genetics of both language and psychiatry include master transcriptional regulators, like FOXP2; key developmental regulators, like AUTS2; and mediators of neurotransmission, like GRIN2A and CACNA1C.
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Rastogi A, Viani-Walsh D, Akbari S, Gall N, Gaughran F, Lally J. Pathogenesis and management of Brugada syndrome in schizophrenia: A scoping review. Gen Hosp Psychiatry 2020; 67:83-91. [PMID: 33065406 PMCID: PMC7537626 DOI: 10.1016/j.genhosppsych.2020.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 08/28/2020] [Accepted: 09/28/2020] [Indexed: 12/13/2022]
Abstract
CONTEXT Excess cardiovascular morbidity and an increased prevalence of sudden cardiac death (SCD) contributes to premature mortality in schizophrenia. Brugada syndrome (BrS) is an important but underrecognized cause of SCD. It is more commonly seen in schizophrenia than in general population controls. METHODS We conducted a scoping review to describe the pathogenesis of BrS in schizophrenia and to identify the psychotropic medications that increase the risk of unmasking BrS and associated ventricular arrhythmias resulting in SCD. FINDINGS Schizophrenia and BrS share similar calcium channel abnormalities, which may result in aberrant myocardial conductivity. It remains uncertain if there is a genetic pre-disposition for BrS in a subset of patients with schizophrenia. However, the unmasking of Brugada ECG patterns with the use of certain antipsychotics and antidepressants increases the risk of precipitating SCD, independent of QT prolongation. CONCLUSIONS AND FUTURE DIRECTIONS Specific cardiology assessment and interventions may be required for the congenital or unmasked Brugada ECG pattern in schizophrenia. The current long-term standard of care for BrS is an implantable cardioverter defibrillator (ICD), but post-implantation psychological effects must be considered. Careful use of antipsychotic and other psychotropic medications is necessary to minimize proarrhythmic effects due to impact on cardiac sodium and calcium ion channels. When prescribing such drugs to patients with schizophrenia, clinicians should be mindful of the potentially fatal unmasking of Brugada ECG patterns and how to manage it. We present recommendations for psychiatrists managing this patient population.
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Affiliation(s)
- Anuj Rastogi
- Royal College of Surgeons in Ireland, School of Medicine, Dublin, Ireland.
| | - Dylan Viani-Walsh
- Royal College of Surgeons in Ireland, School of Medicine, Dublin, Ireland.
| | - Shareef Akbari
- Royal College of Surgeons in Ireland, School of Medicine, Dublin, Ireland.
| | - Nicholas Gall
- Department of Cardiology, King's College Hospital NHS Foundation Trust, United Kingdom.
| | - Fiona Gaughran
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience King's College London, United Kingdom.
| | - John Lally
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience King's College London, United Kingdom; Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland; St Vincent's Hospital Fairview, Dublin, Ireland; Department of Psychiatry, Mater Misericordiae University Hospital, Dublin, Ireland.
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Nanou E, Catterall WA. Calcium Channels, Synaptic Plasticity, and Neuropsychiatric Disease. Neuron 2019; 98:466-481. [PMID: 29723500 DOI: 10.1016/j.neuron.2018.03.017] [Citation(s) in RCA: 276] [Impact Index Per Article: 55.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 03/06/2018] [Accepted: 03/09/2018] [Indexed: 12/14/2022]
Abstract
Voltage-gated calcium channels couple depolarization of the cell-surface membrane to entry of calcium, which triggers secretion, contraction, neurotransmission, gene expression, and other physiological responses. They are encoded by ten genes, which generate three voltage-gated calcium channel subfamilies: CaV1; CaV2; and CaV3. At synapses, CaV2 channels form large signaling complexes in the presynaptic nerve terminal, which are responsible for the calcium entry that triggers neurotransmitter release and short-term presynaptic plasticity. CaV1 channels form signaling complexes in postsynaptic dendrites and dendritic spines, where their calcium entry induces long-term potentiation. These calcium channels are the targets of mutations and polymorphisms that alter their function and/or regulation and cause neuropsychiatric diseases, including migraine headache, cerebellar ataxia, autism, schizophrenia, bipolar disorder, and depression. This article reviews the molecular properties of calcium channels, considers their multiple roles in synaptic plasticity, and discusses their potential involvement in this wide range of neuropsychiatric diseases.
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Affiliation(s)
- Evanthia Nanou
- Department of Pharmacology, University of Washington, Seattle, WA 98195-7280, USA
| | - William A Catterall
- Department of Pharmacology, University of Washington, Seattle, WA 98195-7280, USA.
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Prata DP, Costa-Neves B, Cosme G, Vassos E. Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review. J Psychiatr Res 2019; 114:178-207. [PMID: 31096178 DOI: 10.1016/j.jpsychires.2019.04.007] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To systematically review findings of GWAS in schizophrenia (SZ) and in bipolar disorder (BD); and to interpret findings, with a focus on identifying independent replications. METHOD PubMed search, selection and review of all independent GWAS in SZ or BD, published since March 2011, i.e. studies using non-overlapping samples within each article, between articles, and with those of the previous review (Li et al., 2012). RESULTS From the 22 GWAS included in this review, the genetic associations surviving standard GWAS-significance were for genetic markers in the regions of ACSL3/KCNE4, ADCY2, AMBRA1, ANK3, BRP44, DTL, FBLN1, HHAT, INTS7, LOC392301, LOC645434/NMBR, LOC729457, LRRFIP1, LSM1, MDM1, MHC, MIR2113/POU3F2, NDST3, NKAPL, ODZ4, PGBD1, RENBP, TRANK1, TSPAN18, TWIST2, UGT1A1/HJURP, WHSC1L1/FGFR1 and ZKSCAN4. All genes implicated across both reviews are discussed in terms of their function and implication in neuropsychiatry. CONCLUSION Taking all GWAS to date into account, AMBRA1, ANK3, ARNTL, CDH13, EFHD1 (albeit with different alleles), MHC, PLXNA2 and UGT1A1 have been implicated in either disorder in at least two reportedly non-overlapping samples. Additionally, evidence for a SZ/BD common genetic basis is most strongly supported by the implication of ANK3, NDST3, and PLXNA2.
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Affiliation(s)
- Diana P Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, UK; Instituto Universitário de Lisboa (ISCTE-IUL), Centro de Investigação e Intervenção Social, Lisboa, Portugal.
| | - Bernardo Costa-Neves
- Lisbon Medical School, University of Lisbon, Av. Professor Egas Moniz, 1649-028, Lisbon, Portugal; Centro Hospitalar Psiquiátrico de Lisboa, Av. do Brasil, 53 1749-002, Lisbon, Portugal
| | - Gonçalo Cosme
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, 16 De Crespigny Park, SE5 8AF, UK
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Gorman KM, Meyer E, Grozeva D, Spinelli E, McTague A, Sanchis-Juan A, Carss KJ, Bryant E, Reich A, Schneider AL, Pressler RM, Simpson MA, Debelle GD, Wassmer E, Morton J, Sieciechowicz D, Jan-Kamsteeg E, Paciorkowski AR, King MD, Cross JH, Poduri A, Mefford HC, Scheffer IE, Haack TB, McCullagh G, Millichap JJ, Carvill GL, Clayton-Smith J, Maher ER, Raymond FL, Kurian MA, McRae JF, Clayton S, Fitzgerald TW, Kaplanis J, Prigmore E, Rajan D, Sifrim A, Aitken S, Akawi N, Alvi M, Ambridge K, Barrett DM, Bayzetinova T, Jones P, Jones WD, King D, Krishnappa N, Mason LE, Singh T, Tivey AR, Ahmed M, Anjum U, Archer H, Armstrong R, Awada J, Balasubramanian M, Banka S, Baralle D, Barnicoat A, Batstone P, Baty D, Bennett C, Berg J, Bernhard B, Bevan AP, Bitner-Glindzicz M, Blair E, Blyth M, Bohanna D, Bourdon L, Bourn D, Bradley L, Brady A, Brent S, Brewer C, Brunstrom K, Bunyan DJ, Burn J, Canham N, Castle B, Chandler K, Chatzimichali E, Cilliers D, Clarke A, Clasper S, Clayton-Smith J, Clowes V, Coates A, Cole T, Colgiu I, Collins A, Collinson MN, Connell F, Cooper N, Cox H, Cresswell L, Cross G, Crow Y, D’Alessandro M, Dabir T, Davidson R, Davies S, de Vries D, Dean J, Deshpande C, Devlin G, Dixit A, Dobbie A, Donaldson A, Donnai D, Donnelly D, Donnelly C, Douglas A, Douzgou S, Duncan A, Eason J, Ellard S, Ellis I, Elmslie F, Evans K, Everest S, Fendick T, Fisher R, Flinter F, Foulds N, Fry A, Fryer A, Gardiner C, Gaunt L, Ghali N, Gibbons R, Gill H, Goodship J, Goudie D, Gray E, Green A, Greene P, Greenhalgh L, Gribble S, Harrison R, Harrison L, Harrison V, Hawkins R, He L, Hellens S, Henderson A, Hewitt S, Hildyard L, Hobson E, Holden S, Holder M, Holder S, Hollingsworth G, Homfray T, Humphreys M, Hurst J, Hutton B, Ingram S, Irving M, Islam L, Jackson A, Jarvis J, Jenkins L, Johnson D, Jones E, Josifova D, Joss S, Kaemba B, Kazembe S, Kelsell R, Kerr B, Kingston H, Kini U, Kinning E, Kirby G, Kirk C, Kivuva E, Kraus A, Kumar D, Kumar VKA, Lachlan K, Lam W, Lampe A, Langman C, Lees M, Lim D, Longman C, Lowther G, Lynch SA, Magee A, Maher E, Male A, Mansour S, Marks K, Martin K, Maye U, McCann E, McConnell V, McEntagart M, McGowan R, McKay K, McKee S, McMullan DJ, McNerlan S, McWilliam C, Mehta S, Metcalfe K, Middleton A, Miedzybrodzka Z, Miles E, Mohammed S, Montgomery T, Moore D, Morgan S, Morton J, Mugalaasi H, Murday V, Murphy H, Naik S, Nemeth A, Nevitt L, Newbury-Ecob R, Norman A, O’Shea R, Ogilvie C, Ong KR, Park SM, Parker MJ, Patel C, Paterson J, Payne S, Perrett D, Phipps J, Pilz DT, Pollard M, Pottinger C, Poulton J, Pratt N, Prescott K, Price S, Pridham A, Procter A, Purnell H, Quarrell O, Ragge N, Rahbari R, Randall J, Rankin J, Raymond L, Rice D, Robert L, Roberts E, Roberts J, Roberts P, Roberts G, Ross A, Rosser E, Saggar A, Samant S, Sampson J, Sandford R, Sarkar A, Schweiger S, Scott R, Scurr I, Selby A, Seller A, Sequeira C, Shannon N, Sharif S, Shaw-Smith C, Shearing E, Shears D, Sheridan E, Simonic I, Singzon R, Skitt Z, Smith A, Smith K, Smithson S, Sneddon L, Splitt M, Squires M, Stewart F, Stewart H, Straub V, Suri M, Sutton V, Swaminathan GJ, Sweeney E, Tatton-Brown K, Taylor C, Taylor R, Tein M, Temple IK, Thomson J, Tischkowitz M, Tomkins S, Torokwa A, Treacy B, Turner C, Turnpenny P, Tysoe C, Vandersteen A, Varghese V, Vasudevan P, Vijayarangakannan P, Vogt J, Wakeling E, Wallwark S, Waters J, Weber A, Wellesley D, Whiteford M, Widaa S, Wilcox S, Wilkinson E, Williams D, Williams N, Wilson L, Woods G, Wragg C, Wright M, Yates L, Yau M, Nellåker C, Parker M, Firth HV, Wright CF, FitzPatrick DR, Barrett JC, Hurles ME, Al Turki S, Anderson C, Anney R, Antony D, Artigas MS, Ayub M, Balasubramaniam S, Barrett JC, Barroso I, Beales P, Bentham J, Bhattacharya S, Birney E, Blackwood D, Bobrow M, Bochukova E, Bolton P, Bounds R, Boustred C, Breen G, Calissano M, Carss K, Chatterjee K, Chen L, Ciampi A, Cirak S, Clapham P, Clement G, Coates G, Collier D, Cosgrove C, Cox T, Craddock N, Crooks L, Curran S, Curtis D, Daly A, Day-Williams A, Day IN, Down T, Du Y, Dunham I, Edkins S, Ellis P, Evans D, Faroogi S, Fatemifar G, Fitzpatrick DR, Flicek P, Flyod J, Foley AR, Franklin CS, Futema M, Gallagher L, Geihs M, Geschwind D, Griffin H, Grozeva D, Guo X, Guo X, Gurling H, Hart D, Hendricks A, Holmans P, Howie B, Huang L, Hubbard T, Humphries SE, Hurles ME, Hysi P, Jackson DK, Jamshidi Y, Jing T, Joyce C, Kaye J, Keane T, Keogh J, Kemp J, Kennedy K, Kolb-Kokocinski A, Lachance G, Langford C, Lawson D, Lee I, Lek M, Liang J, Lin H, Li R, Li Y, Liu R, Lönnqvist J, Lopes M, Iotchkova V, MacArthur D, Marchini J, Maslen J, Massimo M, Mathieson I, Marenne G, McGuffin P, McIntosh A, McKechanie AG, McQuillin A, Metrustry S, Mitchison H, Moayyeri A, Morris J, Muntoni F, Northstone K, O'Donnovan M, Onoufriadis A, O'Rahilly S, Oualkacha K, Owen MJ, Palotie A, Panoutsopoulou K, Parker V, Parr JR, Paternoster L, Paunio T, Payne F, Pietilainen O, Plagnol V, Quaye L, Quail MA, Raymond L, Rehnström K, Ring S, Ritchie GR, Roberts N, Savage DB, Scambler P, Schiffels S, Schmidts M, Schoenmakers N, Semple RK, Serra E, Sharp SI, Shin SY, Skuse D, Small K, Southam L, Spasic-Boskovic O, St Clair D, Stalker J, Stevens E, St Pourcian B, Sun J, Suvisaari J, Tachmazidou I, Tobin MD, Valdes A, Van Kogelenberg M, Vijayarangakannan P, Visscher PM, Wain LV, Walters JT, Wang G, Wang J, Wang Y, Ward K, Wheeler E, Whyte T, Williams H, Williamson KA, Wilson C, Wong K, Xu C, Yang J, Zhang F, Zhang P, Aitman T, Alachkar H, Ali S, Allen L, Allsup D, Ambegaonkar G, Anderson J, Antrobus R, Armstrong R, Arno G, Arumugakani G, Ashford S, Astle W, Attwood A, Austin S, Bacchelli C, Bakchoul T, Bariana TK, Baxendale H, Bennett D, Bethune C, Bibi S, Bitner-Glindzicz M, Bleda M, Boggard H, Bolton-Maggs P, Booth C, Bradley JR, Brady A, Brown M, Browning M, Bryson C, Burns S, Calleja P, Canham N, Carmichael J, Carss K, Caulfield M, Chalmers E, Chandra A, Chinnery P, Chitre M, Church C, Clement E, Clements-Brod N, Clowes V, Coghlan G, Collins P, Cooper N, Creaser-Myers A, DaCosta R, Daugherty L, Davies S, Davis J, De Vries M, Deegan P, Deevi SV, Deshpande C, Devlin L, Dewhurst E, Doffinger R, Dormand N, Drewe E, Edgar D, Egner W, Erber WN, Erwood M, Everington T, Favier R, Firth H, Fletcher D, Flinter F, Fox JC, Frary A, Freson K, Furie B, Furnell A, Gale D, Gardham A, Gattens M, Ghali N, Ghataorhe PK, Ghurye R, Gibbs S, Gilmour K, Gissen P, Goddard S, Gomez K, Gordins P, Gräf S, Greene D, Greenhalgh A, Greinacher A, Grigoriadou S, Grozeva D, Hackett S, Hadinnapola C, Hague R, Haimel M, Halmagyi C, Hammerton T, Hart D, Hayman G, Heemskerk JW, Henderson R, Hensiek A, Henskens Y, Herwadkar A, Holden S, Holder M, Holder S, Hu F, Huissoon A, Humbert M, Hurst J, James R, Jolles S, Josifova D, Kazmi R, Keeling D, Kelleher P, Kelly AM, Kennedy F, Kiely D, Kingston N, Koziell A, Krishnakumar D, Kuijpers TW, Kumararatne D, Kurian M, Laffan MA, Lambert MP, Allen HL, Lawrie A, Lear S, Lees M, Lentaigne C, Liesner R, Linger R, Longhurst H, Lorenzo L, Machado R, Mackenzie R, MacLaren R, Maher E, Maimaris J, Mangles S, Manson A, Mapeta R, Markus HS, Martin J, Masati L, Mathias M, Matser V, Maw A, McDermott E, McJannet C, Meacham S, Meehan S, Megy K, Mehta S, Michaelides M, Millar CM, Moledina S, Moore A, Morrell N, Mumford A, Murng S, Murphy E, Nejentsev S, Noorani S, Nurden P, Oksenhendler E, Ouwehand WH, Papadia S, Park SM, Parker A, Pasi J, Patch C, Paterson J, Payne J, Peacock A, Peerlinck K, Penkett CJ, Pepke-Zaba J, Perry DJ, Pollock V, Polwarth G, Ponsford M, Qasim W, Quinti I, Rankin S, Rankin J, Raymond FL, Rehnstrom K, Reid E, Rhodes CJ, Richards M, Richardson S, Richter A, Roberts I, Rondina M, Rosser E, Roughley C, Rue-Albrecht K, Samarghitean C, Sanchis-Juan A, Sandford R, Santra S, Sargur R, Savic S, Schulman S, Schulze H, Scott R, Scully M, Seneviratne S, Sewell C, Shamardina O, Shipley D, Simeoni I, Sivapalaratnam S, Smith K, Sohal A, Southgate L, Staines S, Staples E, Stauss H, Stein P, Stephens J, Stirrups K, Stock S, Suntharalingam J, Tait RC, Talks K, Tan Y, Thachil J, Thaventhiran J, Thomas E, Thomas M, Thompson D, Thrasher A, Tischkowitz M, Titterton C, Toh CH, Toshner M, Treacy C, Trembath R, Tuna S, Turek W, Turro E, Van Geet C, Veltman M, Vogt J, von Ziegenweldt J, Vonk Noordegraaf A, Wakeling E, Wanjiku I, Warner TQ, Wassmer E, Watkins H, Webster A, Welch S, Westbury S, Wharton J, Whitehorn D, Wilkins M, Willcocks L, Williamson C, Woods G, Wort J, Yeatman N, Yong P, Young T, Yu P. Bi-allelic Loss-of-Function CACNA1B Mutations in Progressive Epilepsy-Dyskinesia. Am J Hum Genet 2019; 104:948-956. [PMID: 30982612 DOI: 10.1016/j.ajhg.2019.03.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 03/04/2019] [Indexed: 12/11/2022] Open
Abstract
The occurrence of non-epileptic hyperkinetic movements in the context of developmental epileptic encephalopathies is an increasingly recognized phenomenon. Identification of causative mutations provides an important insight into common pathogenic mechanisms that cause both seizures and abnormal motor control. We report bi-allelic loss-of-function CACNA1B variants in six children from three unrelated families whose affected members present with a complex and progressive neurological syndrome. All affected individuals presented with epileptic encephalopathy, severe neurodevelopmental delay (often with regression), and a hyperkinetic movement disorder. Additional neurological features included postnatal microcephaly and hypotonia. Five children died in childhood or adolescence (mean age of death: 9 years), mainly as a result of secondary respiratory complications. CACNA1B encodes the pore-forming subunit of the pre-synaptic neuronal voltage-gated calcium channel Cav2.2/N-type, crucial for SNARE-mediated neurotransmission, particularly in the early postnatal period. Bi-allelic loss-of-function variants in CACNA1B are predicted to cause disruption of Ca2+ influx, leading to impaired synaptic neurotransmission. The resultant effect on neuronal function is likely to be important in the development of involuntary movements and epilepsy. Overall, our findings provide further evidence for the key role of Cav2.2 in normal human neurodevelopment.
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Kisko TM, Braun MD, Michels S, Witt SH, Rietschel M, Culmsee C, Schwarting RKW, Wöhr M. Sex‐dependent effects of
Cacna1c
haploinsufficiency on juvenile social play behavior and pro‐social 50‐kHz ultrasonic communication in rats. GENES BRAIN AND BEHAVIOR 2019; 19:e12552. [DOI: 10.1111/gbb.12552] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 12/22/2018] [Accepted: 12/26/2018] [Indexed: 12/20/2022]
Affiliation(s)
- Theresa M. Kisko
- Behavioral Neuroscience, Experimental and Biological Psychology, Department of PsychologyPhilipps‐Universität Marburg Marburg Germany
| | - Moria D. Braun
- Behavioral Neuroscience, Experimental and Biological Psychology, Department of PsychologyPhilipps‐Universität Marburg Marburg Germany
| | - Susanne Michels
- Institute of Pharmacology and Clinical PharmacyPhilipps‐Universität Marburg Marburg Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine MannheimRuprecht‐Karls‐Universität Heidelberg Mannheim Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine MannheimRuprecht‐Karls‐Universität Heidelberg Mannheim Germany
| | - Carsten Culmsee
- Institute of Pharmacology and Clinical PharmacyPhilipps‐Universität Marburg Marburg Germany
- Center for Mind, Brain, and Behavior (CMBB)Philipps‐Universität Marburg Marburg Germany
| | - Rainer K. W. Schwarting
- Behavioral Neuroscience, Experimental and Biological Psychology, Department of PsychologyPhilipps‐Universität Marburg Marburg Germany
- Center for Mind, Brain, and Behavior (CMBB)Philipps‐Universität Marburg Marburg Germany
| | - Markus Wöhr
- Behavioral Neuroscience, Experimental and Biological Psychology, Department of PsychologyPhilipps‐Universität Marburg Marburg Germany
- Center for Mind, Brain, and Behavior (CMBB)Philipps‐Universität Marburg Marburg Germany
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Hartmann JA, Nelson B, Ratheesh A, Treen D, McGorry PD. At-risk studies and clinical antecedents of psychosis, bipolar disorder and depression: a scoping review in the context of clinical staging. Psychol Med 2019; 49:177-189. [PMID: 29860956 DOI: 10.1017/s0033291718001435] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Identifying young people at risk of developing serious mental illness and identifying predictors of onset of illness has been a focus of psychiatric prediction research, particularly in the field of psychosis. Work in this area has facilitated the adoption of the clinical staging model of early clinical phenotypes, ranging from at-risk mental states to chronic and severe mental illness. It has been a topic of debate if these staging models should be conceptualised as disorder-specific or transdiagnostic. In order to inform this debate and facilitate cross-diagnostic discourse, the present scoping review provides a broad overview of the body of literature of (a) longitudinal at-risk approaches and (b) identified antecedents of (homotypic) illness progression across three major mental disorders [psychosis, bipolar disorder (BD) and depression], and places these in the context of clinical staging. Stage 0 at-risk conceptualisations (i.e. familial high-risk approaches) were identified in all three disorders. However, formalised stage 1b conceptualisations (i.e. ultra-high-risk approaches) were only present in psychosis and marginally in BD. The presence of non-specific and overlapping antecedents in the three disorders may support a general staging model, at least in the early stages of severe psychotic or mood disorders.
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Affiliation(s)
- Jessica A Hartmann
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Barnaby Nelson
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Aswin Ratheesh
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Devi Treen
- Department of Child and Adolescent Psychiatry and Psychology,Hospital Sant Joan de Déu,Barcelona
| | - Patrick D McGorry
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
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Perry A, Roberts G, Mitchell PB, Breakspear M. Connectomics of bipolar disorder: a critical review, and evidence for dynamic instabilities within interoceptive networks. Mol Psychiatry 2019; 24:1296-1318. [PMID: 30279458 PMCID: PMC6756092 DOI: 10.1038/s41380-018-0267-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 08/14/2018] [Accepted: 09/07/2018] [Indexed: 12/31/2022]
Abstract
The notion that specific cognitive and emotional processes arise from functionally distinct brain regions has lately shifted toward a connectivity-based approach that emphasizes the role of network-mediated integration across regions. The clinical neurosciences have likewise shifted from a predominantly lesion-based approach to a connectomic paradigm-framing disorders as diverse as stroke, schizophrenia (SCZ), and dementia as "dysconnection syndromes". Here we position bipolar disorder (BD) within this paradigm. We first summarise the disruptions in structural, functional and effective connectivity that have been documented in BD. Not surprisingly, these disturbances show a preferential impact on circuits that support emotional processes, cognitive control and executive functions. Those at high risk (HR) for BD also show patterns of connectivity that differ from both matched control populations and those with BD, and which may thus speak to neurobiological markers of both risk and resilience. We highlight research fields that aim to link brain network disturbances to the phenotype of BD, including the study of large-scale brain dynamics, the principles of network stability and control, and the study of interoception (the perception of physiological states). Together, these findings suggest that the affective dysregulation of BD arises from dynamic instabilities in interoceptive circuits which subsequently impact on fear circuitry and cognitive control systems. We describe the resulting disturbance as a "psychosis of interoception".
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Affiliation(s)
- Alistair Perry
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London, Germany. .,Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
| | - Gloria Roberts
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Philip B. Mitchell
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Metro North Mental Health Service, Brisbane, QLD, Australia.
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40
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de Matos LO, Reis ALDAL, Guerra LTL, Guarnieri LDO, Moraes MA, Aquino NSS, Szawka RE, Pereira GS, Souza BR. l-Dopa treatment during perinatal development leads to different behavioral alterations in female vs. male juvenile Swiss mice. Pharmacol Biochem Behav 2018; 173:1-14. [DOI: 10.1016/j.pbb.2018.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/25/2018] [Accepted: 08/06/2018] [Indexed: 12/26/2022]
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41
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Xiao X, Zhang C, Grigoroiu-Serbanescu M, Wang L, Li L, Zhou D, Yuan TF, Wang C, Chang H, Wu Y, Li Y, Wu DD, Yao YG, Li M. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders. Mol Psychiatry 2018; 23:1957-1967. [PMID: 29158582 DOI: 10.1038/mp.2017.243] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/25/2017] [Accepted: 09/14/2017] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BPD), schizophrenia (SCZ) and unipolar major depressive disorder (MDD) are primary psychiatric disorders sharing substantial genetic risk factors. We previously reported that two single-nucleotide polymorphisms (SNPs) rs2709370 and rs6785 in the cAMP responsive element-binding (CREB)-1 gene (CREB1) were associated with the risk of BPD and abnormal hippocampal function in populations of European ancestry. In the present study, we further expanded our analyses of rs2709370 and rs6785 in multiple BPD, SCZ and MDD data sets, including the published Psychiatric Genomics Consortium (PGC) genome-wide association study, the samples used in our previous CREB1 study, and six additional cohorts (three new BPD samples, two new SCZ samples and one new MDD sample). Although the associations of both CREB1 SNPs with each illness were not replicated in the new cohorts (BPD analysis in 871 cases and 1089 controls (rs2709370, P=0.0611; rs6785, P=0.0544); SCZ analysis in 1273 cases and 1072 controls (rs2709370, P=0.230; rs6785, P=0.661); and MDD analysis in 129 cases and 100 controls (rs2709370, P=0.114; rs6785, P=0.188)), an overall meta-analysis of all included samples suggested that both SNPs were significantly associated with increased risk of BPD (11 105 cases and 51 331 controls; rs2709370, P=2.33 × 10-4; rs6785, P=6.33 × 10-5), SCZ (34 913 cases and 44 528 controls; rs2709370, P=3.96 × 10-5; rs6785, P=2.44 × 10-5) and MDD (9369 cases and 9619 controls; rs2709370, P=0.0144; rs6785, P=0.0314), with the same direction of allelic effects across diagnostic categories. We then examined the impact of diagnostic status on CREB1 mRNA expression using data obtained from independent brain tissue samples, and observed that the mRNA expression of CREB1 was significantly downregulated in psychiatric patients compared with healthy controls. The protein-protein interaction analyses showed that the protein encoded by CREB1 directly interacted with several risk genes of psychiatric disorders identified by GWAS. In conclusion, the current study suggests that CREB1 might be a common risk gene for major psychiatric disorders, and further investigations are necessary.
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Affiliation(s)
- X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - C Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
| | - L Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - L Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - D Zhou
- Ningbo Kangning Hospital, Ningbo, China
| | - T-F Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, China
| | - H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Li
- Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China
| | - D-D Wu
- State Key Laboratory of Genetic Resources and Evolution, Chinese Academy of Sciences, Kunming, China
| | - Y-G Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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Nakamura T, Jimbo K, Nakajima K, Tsuboi T, Kato T. De novo UNC13B mutation identified in a bipolar disorder patient increases a rare exon-skipping variant. Neuropsychopharmacol Rep 2018; 38:210-213. [PMID: 30117296 PMCID: PMC7292303 DOI: 10.1002/npr2.12027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 07/10/2018] [Accepted: 07/15/2018] [Indexed: 12/13/2022] Open
Abstract
AIM We previously performed the first trio-based exome study for bipolar disorder and identified 71 de novo mutations. Among these mutations, the only mutation located at the splice donor site was in UNC13B. We focused on and analyzed the functions of the mutation. METHODS In order to analyze the functional alterations, due to the mutation, we performed a minigene splicing assay. KEY RESULTS We found that the mutation caused the loss of a wild-type splicing variant, which was consistent with the computational splice prediction, and that an exon-skipping variant increased significantly. The exon-skipping variant also existed in the wild-type minigene, although it was rare. Hence, we validated the expression of the exon-skipping variant using total RNAs derived from the human cerebral cortex. We showed the possibility that the exon-skipping variant was rare, but expressed even in those that do not carry the mutation. CONCLUSIONS Based on our results, we suggest that an abnormal splicing pattern of UNC13B occurred in the patient, which could be related to the pathophysiology of bipolar disorder.
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Affiliation(s)
- Takumi Nakamura
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.,Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Wako, Japan
| | - Kotori Jimbo
- Faculty of Medicine, Nara Medical University, Kashihara, Japan
| | - Kazuo Nakajima
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Wako, Japan
| | - Takashi Tsuboi
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Wako, Japan
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43
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Godwin D, Alpert KI, Wang L, Mamah D. Regional cortical thinning in young adults with schizophrenia but not psychotic or non-psychotic bipolar I disorder. Int J Bipolar Disord 2018; 6:16. [PMID: 29992455 PMCID: PMC6161965 DOI: 10.1186/s40345-018-0124-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 06/06/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Schizophrenia shares some genetic risk and clinical symptoms with bipolar disorder. Clinical heterogeneity across subjects is thought to contribute to variable structural imaging findings across studies. The current study investigates cortical thickness in young adults diagnosed with schizophrenia or bipolar I disorder with a history of hyperthymic mania. We hypothesize that cortical thickness will be most similar between SCZ and the psychotic bipolar 1 disorder subtype. METHODS Patients with schizophrenia (n = 52), psychotic bipolar I disorder (PBD; n = 49) and non-psychotic bipolar I disorder (NPBD; n = 24) and healthy controls (n = 40) were scanned in a 3T Trio MRI. The thickness of 34 cortical regions was estimated with FreeSurfer, and analyzed using univariate analyses of variance. Relationships to psychotic (SAPS) and negative (SANS) symptoms were investigated using linear regression. RESULTS Cortical thickness showed significant group effects, after covarying for sex, age, and intracranial volume (p = 0.001). SCZ subjects had thinner paracentral, inferior parietal, supramarginal and fusiform cortices compared to CON. Caudal anterior cingulate cortical thickness was increased in SCZ, PBD and NPBD. Cortical thickness in PBD and NPBD were not significantly different from controls. Significant partial correlations were observed for SAPS severity with middle temporal (r = - 0.26; p = 0.001) and fusiform (- 0.26; p = 0.001) cortical thickness. CONCLUSIONS Individuals with SCZ displayed significantly reduced cortical thickness in several cortical regions compared to both CON and bipolar. We found that SCZ participants had significant cortical thinning relative to CON and bipolar disorder most significantly in the frontal (i.e. paracentral), parietal (i.e. inferior parietal, supramarginal), and temporal (i.e. middle temporal, fusiform) cortices.
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Affiliation(s)
- Douglass Godwin
- Department of Psychiatry, Washington University Medical School, St. Louis, USA
| | - Kathryn I. Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, USA
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Koulentaki M, Kouroumalis E. GABA A receptor polymorphisms in alcohol use disorder in the GWAS era. Psychopharmacology (Berl) 2018; 235:1845-1865. [PMID: 29721579 DOI: 10.1007/s00213-018-4918-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 04/18/2018] [Indexed: 12/11/2022]
Abstract
Alcohol use disorder (AUD) is a chronic, relapsing, neuro-psychiatric illness of high prevalence and with a serious public health impact worldwide. It is complex and polygenic, with a heritability of about 50%, and influenced by environmental causal heterogeneity. Risk factors associated with its etiology have a genetic component. GABA (γ-aminobutyric acid) is a major inhibitory neurotransmitter in mammalian brain. GABAA receptors are believed to mediate some of the physiological and behavioral actions of alcohol. In this critical review, relevant genetic terms and type and methodology of the genetic studies are briefly explained. Postulated candidate genes that encode subunits of GABAA receptors, with all the reported SNPs, are presented. Genetic studies and meta-analyses examining polymorphisms of the GABAA receptor and their association with AUD predisposition are presented. The data are critically examined with reference to recent GWAS studies that failed to show relations between GABAA receptors and AUD. Restrictions and perspectives of the different findings are discussed.
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Affiliation(s)
- Mairi Koulentaki
- Alcohology Research Laboratory, Medical School, University of Crete, 71500, Heraklion, Crete, Greece.,Department of Gastroenterology, University Hospital Heraklion, 71500, Heraklion, Crete, Greece
| | - Elias Kouroumalis
- Department of Gastroenterology, University Hospital Heraklion, 71500, Heraklion, Crete, Greece.
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45
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Baker E, Schmidt KM, Sims R, O'Donovan MC, Williams J, Holmans P, Escott‐Price V, Consortium WTGERAD. POLARIS: Polygenic LD-adjusted risk score approach for set-based analysis of GWAS data. Genet Epidemiol 2018; 42:366-377. [PMID: 29532500 PMCID: PMC6001515 DOI: 10.1002/gepi.22117] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 01/19/2018] [Accepted: 01/30/2018] [Indexed: 11/11/2022]
Abstract
Polygenic risk scores (PRSs) are a method to summarize the additive trait variance captured by a set of SNPs, and can increase the power of set-based analyses by leveraging public genome-wide association study (GWAS) datasets. PRS aims to assess the genetic liability to some phenotype on the basis of polygenic risk for the same or different phenotype estimated from independent data. We propose the application of PRSs as a set-based method with an additional component of adjustment for linkage disequilibrium (LD), with potential extension of the PRS approach to analyze biologically meaningful SNP sets. We call this method POLARIS: POlygenic Ld-Adjusted RIsk Score. POLARIS identifies the LD structure of SNPs using spectral decomposition of the SNP correlation matrix and replaces the individuals' SNP allele counts with LD-adjusted dosages. Using a raw genotype dataset together with SNP effect sizes from a second independent dataset, POLARIS can be used for set-based analysis. MAGMA is an alternative set-based approach employing principal component analysis to account for LD between markers in a raw genotype dataset. We used simulations, both with simple constructed and real LD-structure, to compare the power of these methods. POLARIS shows more power than MAGMA applied to the raw genotype dataset only, but less or comparable power to combined analysis of both datasets. POLARIS has the advantages that it produces a risk score per person per set using all available SNPs, and aims to increase power by leveraging the effect sizes from the discovery set in a self-contained test of association in the test dataset.
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Affiliation(s)
- Emily Baker
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | | | - Rebecca Sims
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | - Michael C. O'Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | - Julie Williams
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | - Peter Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | - Valentina Escott‐Price
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
| | - with the GERAD Consortium
- Medical Research Council Centre for Neuropsychiatric Genetics and GenomicsInstitute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityUnited Kingdom
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46
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Cosgrove D, Mothersill DO, Whitton L, Harold D, Kelly S, Holleran L, Holland J, Anney R, Richards A, Mantripragada K, Owen M, O'Donovan MC, Gill M, Corvin A, Morris DW, Donohoe G. Effects of MiR-137 genetic risk score on brain volume and cortical measures in patients with schizophrenia and controls. Am J Med Genet B Neuropsychiatr Genet 2018; 177:369-376. [PMID: 29418072 DOI: 10.1002/ajmg.b.32620] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 01/08/2018] [Indexed: 11/10/2022]
Abstract
Multiple genome-wide association studies of schizophrenia have implicated genetic variants within the gene encoding microRNA-137. As risk variants within or regulated by MIR137 have been implicated in memory performance, we investigated the additive effects of schizophrenia-associated risk variants in genes empirically regulated by MIR137 on brain regions associated with memory function. A polygenic risk score (PRS) was calculated (at a p = 0.05 threshold), using this empirically regulated MIR137 gene set, to investigate associations between this PRS and structural brain measures. These measures included total brain volume, cortical thickness, cortical surface area, and hippocampal volume, in a sample of 216 individuals consisting of healthy participants (n = 171) and patients with psychosis (n = 45). We did not observe a significant association between MIR137 PRS and these cortical thickness, surface area or hippocampal volume measures linked to memory function; a significant association between increasing PRS and decreasing total brain volume, independent of diagnosis status (R2 = 0.008, Beta = -0.09, p = 0.029), was observed. This did not survive correction for multiple testing. In conclusion, our study yielded only suggestive evidence that risk variants interacting with MIR137 impacts on cortical structure.
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Affiliation(s)
- Donna Cosgrove
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - David O Mothersill
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Laura Whitton
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Denise Harold
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Sinead Kelly
- Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Laurena Holleran
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Jessica Holland
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Richard Anney
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland.,Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | | | - Alex Richards
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Kiran Mantripragada
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael Owen
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael C O'Donovan
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - Derek W Morris
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Gary Donohoe
- The Cognitive Genetics & Cognitive Therapy Group, The School of Psychology and Discipline of Biochemistry, The Centre for Neuroimaging & Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
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47
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Kamens SR, Cosgrove L, Peters SM, Jones N, Flanagan E, Longden E, Schulz S, Robbins BD, Olsen S, Miller R, Lichtenberg P. Standards and Guidelines for the Development of Diagnostic Nomenclatures and Alternatives in Mental Health Research and Practice. JOURNAL OF HUMANISTIC PSYCHOLOGY 2018. [DOI: 10.1177/0022167818763862] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Diagnostic nomenclatures have been central to mental health research and practice since the turn of the 20th century. In recent years, an increasing number of mental health professionals have proposed that a paradigm shift in diagnosis is inevitable. The Standards and Guidelines for the Development of Diagnostic Nomenclatures and Alternatives in Mental Health Research and Practice are intended to serve as a reference for the development of scientifically sound and ethically principled diagnostic nomenclatures and descriptive alternatives. The Standards and Guidelines are divided into four sections that address the purposes; development; type, content, and structure; and scientific grounding of nomenclatures and alternative systems. They are intended to represent best practice in the classification and description of emotional distress for multidisciplinary mental health professionals.
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Affiliation(s)
- Sarah R. Kamens
- Fordham University, Bronx, NY, USA
- Yale University, School of Medicine, New Haven, CT, USA
| | | | | | - Nev Jones
- University of South Florida, Tampa, FL, USA
| | | | - Eleanor Longden
- Greater Manchester West Mental Health NHS Foundation Trust, Manchester, UK
| | | | | | - Steven Olsen
- Yale University, School of Medicine, New Haven, CT, USA
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48
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Dedic N, Pöhlmann ML, Richter JS, Mehta D, Czamara D, Metzger MW, Dine J, Bedenk BT, Hartmann J, Wagner KV, Jurik A, Almli LM, Lori A, Moosmang S, Hofmann F, Wotjak CT, Rammes G, Eder M, Chen A, Ressler KJ, Wurst W, Schmidt MV, Binder EB, Deussing JM. Cross-disorder risk gene CACNA1C differentially modulates susceptibility to psychiatric disorders during development and adulthood. Mol Psychiatry 2018; 23:533-543. [PMID: 28696432 PMCID: PMC5822460 DOI: 10.1038/mp.2017.133] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 04/25/2017] [Accepted: 05/04/2017] [Indexed: 12/17/2022]
Abstract
Single-nucleotide polymorphisms (SNPs) in CACNA1C, the α1C subunit of the voltage-gated L-type calcium channel Cav1.2, rank among the most consistent and replicable genetics findings in psychiatry and have been associated with schizophrenia, bipolar disorder and major depression. However, genetic variants of complex diseases often only confer a marginal increase in disease risk, which is additionally influenced by the environment. Here we show that embryonic deletion of Cacna1c in forebrain glutamatergic neurons promotes the manifestation of endophenotypes related to psychiatric disorders including cognitive decline, impaired synaptic plasticity, reduced sociability, hyperactivity and increased anxiety. Additional analyses revealed that depletion of Cacna1c during embryonic development also increases the susceptibility to chronic stress, which suggest that Cav1.2 interacts with the environment to shape disease vulnerability. Remarkably, this was not observed when Cacna1c was deleted in glutamatergic neurons during adulthood, where the later deletion even improved cognitive flexibility, strengthened synaptic plasticity and induced stress resilience. In a parallel gene × environment design in humans, we additionally demonstrate that SNPs in CACNA1C significantly interact with adverse life events to alter the risk to develop symptoms of psychiatric disorders. Overall, our results further validate Cacna1c as a cross-disorder risk gene in mice and humans, and additionally suggest a differential role for Cav1.2 during development and adulthood in shaping cognition, sociability, emotional behavior and stress susceptibility. This may prompt the consideration for pharmacological manipulation of Cav1.2 in neuropsychiatric disorders with developmental and/or stress-related origins.
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Affiliation(s)
- N Dedic
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - M L Pöhlmann
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - J S Richter
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - D Mehta
- Queensland Brain Institute, University of Queensland, St. Lucia, QLD, Australia
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - D Czamara
- Queensland Brain Institute, University of Queensland, St. Lucia, QLD, Australia
| | - M W Metzger
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - J Dine
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - B T Bedenk
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - J Hartmann
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - K V Wagner
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - A Jurik
- Institute of Pharmacology and Toxicology, Technische Universität München, Munich, Germany
| | - L M Almli
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - A Lori
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - S Moosmang
- Institute of Pharmacology and Toxicology, Technische Universität München, Munich, Germany
| | - F Hofmann
- Institute of Pharmacology and Toxicology, Technische Universität München, Munich, Germany
| | - C T Wotjak
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - G Rammes
- Clinic of Anaesthesiology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - M Eder
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - A Chen
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- The Ruhman Family Laboratory for Research on the Neurobiology of Stress, Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | - K J Ressler
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - W Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - M V Schmidt
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - E B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - J M Deussing
- Molecular Neurogenetics, Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
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49
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Roberts G, Perry A, Lord A, Frankland A, Leung V, Holmes-Preston E, Levy F, Lenroot RK, Mitchell PB, Breakspear M. Structural dysconnectivity of key cognitive and emotional hubs in young people at high genetic risk for bipolar disorder. Mol Psychiatry 2018; 23:413-421. [PMID: 27994220 PMCID: PMC5794888 DOI: 10.1038/mp.2016.216] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/30/2016] [Accepted: 10/04/2016] [Indexed: 01/01/2023]
Abstract
Emerging evidence suggests that psychiatric disorders are associated with disturbances in structural brain networks. Little is known, however, about brain networks in those at high risk (HR) of bipolar disorder (BD), with such disturbances carrying substantial predictive and etiological value. Whole-brain tractography was performed on diffusion-weighted images acquired from 84 unaffected HR individuals with at least one first-degree relative with BD, 38 young patients with BD and 96 matched controls (CNs) with no family history of mental illness. We studied structural connectivity differences between these groups, with a focus on highly connected hubs and networks involving emotional centres. HR participants showed lower structural connectivity in two lateralised sub-networks centred on bilateral inferior frontal gyri and left insular cortex, as well as increased connectivity in a right lateralised limbic sub-network compared with CN subjects. BD was associated with weaker connectivity in a small right-sided sub-network involving connections between fronto-temporal and temporal areas. Although these sub-networks preferentially involved structural hubs, the integrity of the highly connected structural backbone was preserved in both groups. Weaker structural brain networks involving key emotional centres occur in young people at genetic risk of BD and those with established BD. In contrast to other psychiatric disorders such as schizophrenia, the structural core of the brain remains intact, despite the local involvement of network hubs. These results add to our understanding of the neurobiological correlates of BD and provide predictions for outcomes in young people at high genetic risk for BD.
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Affiliation(s)
- G Roberts
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - A Perry
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Metro North Mental Health Service, Brisbane, QLD, Australia,Centre for Healthy Brain Ageing, Randwick, NSW, Australia
| | - A Lord
- Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A Frankland
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - V Leung
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - E Holmes-Preston
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - F Levy
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Prince of Wales Hospital, Randwick, NSW, Australia
| | - R K Lenroot
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Neuroscience Research Australia, Randwick, NSW, Australia
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia,Prince of Wales Hospital, Randwick, NSW, Australia
| | - M Breakspear
- Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Metro North Mental Health Service, Brisbane, QLD, Australia,Systems Neuroscience Group, QIMR Berghofer Institute of Medical Research, 300 Herston Road, Herston, QLD, Australia. E-mail:
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50
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Ranlund S, Calafato S, Thygesen JH, Lin K, Cahn W, Crespo‐Facorro B, de Zwarte SM, Díez Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall M, Kahn R, Kalaydjieva L, Kravariti E, McDonald C, McIntosh AM, McQuillin A, Picchioni M, Prata DP, Rujescu D, Schulze K, Shaikh M, Toulopoulou T, van Haren N, van Os J, Vassos E, Walshe M, Lewis C, Murray RM, Powell J, Bramon E. A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains. Am J Med Genet B Neuropsychiatr Genet 2018; 177:21-34. [PMID: 28851104 PMCID: PMC5763362 DOI: 10.1002/ajmg.b.32581] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 07/24/2017] [Indexed: 12/26/2022]
Abstract
This large multi-center study investigates the relationships between genetic risk for schizophrenia and bipolar disorder, and multi-modal endophenotypes for psychosis. The sample included 4,242 individuals; 1,087 patients with psychosis, 822 unaffected first-degree relatives of patients, and 2,333 controls. Endophenotypes included the P300 event-related potential (N = 515), lateral ventricular volume (N = 798), and the cognitive measures block design (N = 3,089), digit span (N = 1,437), and the Ray Auditory Verbal Learning Task (N = 2,406). Data were collected across 11 sites in Europe and Australia; all genotyping and genetic analyses were done at the same laboratory in the United Kingdom. We calculated polygenic risk scores for schizophrenia and bipolar disorder separately, and used linear regression to test whether polygenic scores influenced the endophenotypes. Results showed that higher polygenic scores for schizophrenia were associated with poorer performance on the block design task and explained 0.2% (p = 0.009) of the variance. Associations in the same direction were found for bipolar disorder scores, but this was not statistically significant at the 1% level (p = 0.02). The schizophrenia score explained 0.4% of variance in lateral ventricular volumes, the largest across all phenotypes examined, although this was not significant (p = 0.063). None of the remaining associations reached significance after correction for multiple testing (with alpha at 1%). These results indicate that common genetic variants associated with schizophrenia predict performance in spatial visualization, providing additional evidence that this measure is an endophenotype for the disorder with shared genetic risk variants. The use of endophenotypes such as this will help to characterize the effects of common genetic variation in psychosis.
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Affiliation(s)
- Siri Ranlund
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | | | - Kuang Lin
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Wiepke Cahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Benedicto Crespo‐Facorro
- CIBERSAMCentro Investigación Biomédica en Red Salud MentalMadridSpain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of MedicineUniversity of Cantabria–IDIVALSantanderSpain
| | - Sonja M.C. de Zwarte
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Álvaro Díez
- Division of PsychiatryUniversity College LondonLondonUK
- Laboratory of Cognitive and Computational Neuroscience—Centre for Biomedical Technology (CTB)Complutense University and Technical University of MadridMadridSpain
| | - Marta Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Conrad Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Assen Jablensky
- Centre for Clinical Research in NeuropsychiatryThe University of Western AustraliaPerth, Western AustraliaAustralia
| | - Rebecca Jones
- Division of PsychiatryUniversity College LondonLondonUK
| | - Mei‐Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical SchoolMcLean HospitalBelmontMassachusetts
| | - Rene Kahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Luba Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical ResearchThe University of Western AustraliaPerthAustralia
| | - Eugenia Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Colm McDonald
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience CentreNational University of Ireland GalwayGalwayIreland
| | - Andrew M. McIntosh
- Division of Psychiatry, University of EdinburghRoyal Edinburgh HospitalEdinburghUK
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
| | | | | | - Marco Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Diana P. Prata
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Faculdade de Medicina, Instituto de Medicina MolecularUniversidade de LisboaPortugal
| | - Dan Rujescu
- Department of PsychiatryLudwig‐Maximilians University of MunichMunichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity of Halle WittenbergHalleGermany
| | - Katja Schulze
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Madiha Shaikh
- North East London Foundation TrustLondonUK
- Research Department of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Timothea Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychology, Bilkent UniversityMain CampusBilkent, AnkaraTurkey
- Department of PsychologyThe University of Hong Kong, Pokfulam RdHong Kong SARChina
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong KongThe Hong Kong Jockey Club Building for Interdisciplinary ResearchHong Kong SARChina
| | - Neeltje van Haren
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Jim van Os
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychiatry and Psychology, Maastricht University Medical CentreEURONMaastrichtThe Netherlands
| | - Evangelos Vassos
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Muriel Walshe
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Cathryn Lewis
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Robin M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - John Powell
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Elvira Bramon
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Institute of Cognitive NeuroscienceUniversity College LondonLondonUK
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