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Butto T, Chongtham MC, Mungikar K, Hartwich D, Linke M, Ruffini N, Radyushkin K, Schweiger S, Winter J, Gerber S. Characterization of transcriptional profiles associated with stress-induced neuronal activation in Arc-GFP mice. Mol Psychiatry 2024:10.1038/s41380-024-02555-z. [PMID: 38649752 DOI: 10.1038/s41380-024-02555-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 03/21/2024] [Accepted: 04/05/2024] [Indexed: 04/25/2024]
Abstract
Chronic stress has become a predominant factor associated with a variety of psychiatric disorders, such as depression and anxiety, in both human and animal models. Although multiple studies have looked at transcriptional changes after social defeat stress, these studies primarily focus on bulk tissues, which might dilute important molecular signatures of social interaction in activated cells. In this study, we employed the Arc-GFP mouse model in conjunction with chronic social defeat (CSD) to selectively isolate activated nuclei (AN) populations in the ventral hippocampus (vHIP) and prefrontal cortex (PFC) of resilient and susceptible animals. Nuclear RNA-seq of susceptible vs. resilient populations revealed distinct transcriptional profiles linked predominantly with neuronal and synaptic regulation mechanisms. In the vHIP, susceptible AN exhibited increased expression of genes related to the cytoskeleton and synaptic organization. At the same time, resilient AN showed upregulation of cell adhesion genes and differential expression of major glutamatergic subunits. In the PFC, susceptible mice exhibited upregulation of synaptotagmins and immediate early genes (IEGs), suggesting a potentially over-amplified neuronal activity state. Our findings provide a novel view of stress-exposed neuronal activation and the molecular response mechanisms in stress-susceptible vs. resilient animals, which may have important implications for understanding mental resilience.
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Affiliation(s)
- Tamer Butto
- Institute for Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University, 55128, Mainz, Germany
| | | | - Kanak Mungikar
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Dewi Hartwich
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Matthias Linke
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Nicolas Ruffini
- Leibniz Institute for Resilience Research, Wallstr 7, 55122, Mainz, Germany
| | | | - Susann Schweiger
- Leibniz Institute for Resilience Research, Wallstr 7, 55122, Mainz, Germany
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Jennifer Winter
- Leibniz Institute for Resilience Research, Wallstr 7, 55122, Mainz, Germany.
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
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Restrepo-Mejía SF, Valencia-Echeverry J, Zapata-Ospina JP, Aguirre-Acevedo DC, Lopez-Jaramillo C, Palacio-Ortiz JD. Comparison of the neurocognitive profile of the children of parents with bipolar disorder and controls: A transnational cross-sectional study. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2023; 52:320-327. [PMID: 37981470 DOI: 10.1016/j.rcpeng.2021.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 07/13/2021] [Indexed: 11/21/2023]
Abstract
INTRODUCTION Studies that have compared the cognitive alterations of the children of parents with bipolar disorder (CPBD) versus the children of control parents (CCP), present heterogeneous results due to the studies' methodological differences, the age of the population studied, and the lack of standardisation of the measures used for the different neurocognitive domains. The objective was to compare the neurocognitive profile of CPBD versus CCP to observe if there are differences that could be proposed as possible endophenotypes of BD. RESULTS A total of 107 individuals (51 CPBD, and 56 CCP) with ages between 6 and 16 (mean, 12.2±2.80) years of age were evaluated. Seventy-four point five percent of the CPBD group had some disorder compared to 67.9% of the CCP group. Tests such as letter-F phonemic verbal fluency, letter-S phonemic verbal fluency, overall F-A-S phonemic verbal fluency, story recall and retrieval, and Wisconsin perseverative errors showed a difference with a small effect size, but with a high degree of uncertainty. CONCLUSIONS The CPBD did not have differences in their neurocognitive profile in comparison with CCP. Both groups have a high prevalence of psychopathology, which is a factor that could explain the lack of differences in neurocognitive performance.
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Affiliation(s)
- Sara Fernanda Restrepo-Mejía
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Johanna Valencia-Echeverry
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | | | - Carlos Lopez-Jaramillo
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
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3
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Genetic substrates of bipolar disorder risk in Latino families. Mol Psychiatry 2023; 28:154-167. [PMID: 35948660 DOI: 10.1038/s41380-022-01705-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/22/2022] [Accepted: 07/07/2022] [Indexed: 01/07/2023]
Abstract
Genetic studies of bipolar disorder (BP) have been conducted in the Latin American population, to date, in several countries, including Mexico, the United States, Costa Rica, Colombia, and, to a lesser extent, Brazil. These studies focused primarily on linkage-based designs utilizing families with multiplex cases of BP. Significant BP loci were identified on Chromosomes 18, 5 and 8, and fine mapping suggested several genes of interest underlying these linkage peaks. More recently, studies in these same pedigrees yielded significant linkage loci for BP endophenotypes, including measures of activity, sleep cycles, and personality traits. Building from findings in other populations, candidate gene association analyses in Latinos from Mexican and Central American ancestry confirmed the role of several genes (including CACNA1C and ANK3) in conferring BP risk. Although GWAS, methylation, and deep sequencing studies have only begun in these populations, there is evidence that CNVs and rare SNPs both play a role in BP risk of these populations. Large segments of the Latino populations in the Americas remain largely unstudied regarding BP genetics, but evidence to date has shown that this type of research can be successfully conducted in these populations and that the genetic underpinnings of BP in these cohorts share at least some characteristics with risk genes identified in European and other populations.
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Eraso-Osorio JJ, Palacio-Ortiz JD, Quintero-Cadavid CP, Estrada-Jaramillo S, Andrade-Carrillo R, Gómez-Cano S, Garcia-Valencia J, Aguirre-Acevedo DC, Duque-Rios PA, Valencia-Echeverry J, López-Jaramillo C. High risk for psychiatric disorders in bipolar offspring. A four years prospective study. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2021; 50:273-284. [PMID: 34815013 DOI: 10.1016/j.rcpeng.2020.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 01/30/2020] [Indexed: 06/13/2023]
Abstract
UNLABELLED Bipolar disorder (BD) has a large hereditary component. It is a disorder that begins in early adulthood, but about which it has been described a premorbid period preceding the onset of BD. During this herald expression psychiatric disorders and symptoms, such as depressive, manic, psychotic, anxious and others, may appear. OBJECTIVE To determine the psychopathological profile of a Bipolar Offspring (BO) group compared with the Community Control Offspring (CCO) group, and its evolution over time, including subthreshold symptoms and mental disorders. METHODS We conducted an observational mixed cohort study, with a prospective design. We included subjects from six to 30 years of age, from the region of Antioquia, Colombia. A total of 131 subjects from the risk group BO and 150 subjects from the CCO group were evaluated through validated psychiatric diagnostic interviews (K-SADS-PL and DIGS) at baseline and at 4 years follow up. All interviews were carried out by a staff blind to parent diagnoses. Follow-up assessment were complete in 72% of the offspring. Forty-two subjects were excluded as they surpassed the age of 30 years, and only 46 subjects were not followed (change of address or did not consent to participate). RESULTS Compared with the CCO group, the BO group had a higher frequency of affective disorder, psychotic disorder, externalizing disorders and use of the psychoactive substances during both assessments at time 1 and 2. The magnitude of the differences between the groups increased when they reach time 2. The BO group had a greater risk for presenting subthreshold symptoms and definitive psychiatric disorders, such as affective disorders, psychotic disorders and externalizing disorders. In addition, the BO group had a younger age of onset for psychoactive substances consumption. CONCLUSION During the follow-up period, the BO group had a higher risk of presenting mental disorders compared with the CCO group. The most relevant symptoms and disorders that could precede the onset of BD were depressive, bipolar not otherwise specified, psychotic and substance use.
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Affiliation(s)
- Juan Jose Eraso-Osorio
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia.
| | - Claudia Patricia Quintero-Cadavid
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Santiago Estrada-Jaramillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Rommel Andrade-Carrillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Sujey Gómez-Cano
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | | | - Daniel Camilo Aguirre-Acevedo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Institute of Medical Research, University of Antioquia, Medellín, Colombia
| | - Paula Andrea Duque-Rios
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Johanna Valencia-Echeverry
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia
| | - Carlos López-Jaramillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
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Restrepo-Mejía SF, Valencia-Echeverry J, Zapata-Ospina JP, Aguirre-Acevedo DC, Lopez-Jaramillo C, Palacio-Ortiz JD. Comparison of the Neurocognitive Profile of the Children of Parents with Bipolar Disorder and Controls: a Transnational Cross-Sectional Study. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2021; 52:S0034-7450(21)00139-6. [PMID: 34561104 DOI: 10.1016/j.rcp.2021.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION Studies that have compared the cognitive alterations of the children of parents with bipolar disorder (CPBD) versus the children of control parents (CCP), present heterogeneous results due to the studies' methodological differences, the age of the population studied, and the lack of standardisation of the measures used for the different neurocognitive domains. The objective was to compare the neurocognitive profile of CPBD versus CCP to observe if there are differences that could be proposed as possible endophenotypes of BD. RESULTS A total of 107 individuals (51 CPBD, and 56 CCP) with ages between 6 and 16 (mean, 12.2±2.80) years of age were evaluated. Seventy-four point five percent of the CPBD group had some disorder compared to 67.9% of the CCP group. Tests such as letter-F phonemic verbal fluency, letter-S phonemic verbal fluency, overall F-A-S phonemic verbal fluency, story recall and retrieval, and Wisconsin perseverative errors showed a difference with a small effect size, but with a high degree of uncertainty. CONCLUSIONS The CPBD did not have differences in their neurocognitive profile in comparison with CCP. Both groups have a high prevalence of psychopathology, which is a factor that could explain the lack of differences in neurocognitive performance.
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Affiliation(s)
- Sara Fernanda Restrepo-Mejía
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Johanna Valencia-Echeverry
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | | | - Carlos Lopez-Jaramillo
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
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Vreeker A, Fears SC, Service SK, Pagani L, Takahashi JS, Araya C, Araya X, Bejarano J, Lopez MC, Montoya G, Montoya CP, Teshiba TM, Escobar J, Cantor RM, López-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Ophoff RA, Freimer NB, Bearden CE. Genetic analysis of activity, brain and behavioral associations in extended families with heavy genetic loading for bipolar disorder. Psychol Med 2021; 51:494-502. [PMID: 31813409 DOI: 10.1017/s0033291719003416] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Disturbed sleep and activity are prominent features of bipolar disorder type I (BP-I). However, the relationship of sleep and activity characteristics to brain structure and behavior in euthymic BP-I patients and their non-BP-I relatives is unknown. Additionally, underlying genetic relationships between these traits have not been investigated. METHODS Relationships between sleep and activity phenotypes, assessed using actigraphy, with structural neuroimaging (brain) and cognitive and temperament (behavior) phenotypes were investigated in 558 euthymic individuals from multi-generational pedigrees including at least one member with BP-I. Genetic correlations between actigraphy-brain and actigraphy-behavior associations were assessed, and bivariate linkage analysis was conducted for trait pairs with evidence of shared genetic influences. RESULTS More physical activity and longer awake time were significantly associated with increased brain volumes and cortical thickness, better performance on neurocognitive measures of long-term memory and executive function, and less extreme scores on measures of temperament (impulsivity, cyclothymia). These associations did not differ between BP-I patients and their non-BP-I relatives. For nine activity-brain or activity-behavior pairs there was evidence for shared genetic influence (genetic correlations); of these pairs, a suggestive bivariate quantitative trait locus on chromosome 7 for wake duration and verbal working memory was identified. CONCLUSIONS Our findings indicate that increased physical activity and more adequate sleep are associated with increased brain size, better cognitive function and more stable temperament in BP-I patients and their non-BP-I relatives. Additionally, we found evidence for pleiotropy of several actigraphy-behavior and actigraphy-brain phenotypes, suggesting a shared genetic basis for these traits.
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Affiliation(s)
- Annabel Vreeker
- Department of Genetics, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Scott C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Susan K Service
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Lucia Pagani
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Dobeco Spa a Socia Unico, Milano, Italy
| | - Joseph S Takahashi
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Carmen Araya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San José, Costa Rica
| | - Xinia Araya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San José, Costa Rica
| | - Julio Bejarano
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San José, Costa Rica
| | - Maria C Lopez
- Departamento de Psiquiatría Facultad de Medicina, Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Montoya
- Departamento de Psiquiatría Facultad de Medicina, Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Universidad de Antioquia, Medellín, Colombia
| | - Claudia Patricia Montoya
- Departamento de Psiquiatría Facultad de Medicina, Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Universidad de Antioquia, Medellín, Colombia
| | - Terri M Teshiba
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Javier Escobar
- Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Rita M Cantor
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Carlos López-Jaramillo
- Departamento de Psiquiatría Facultad de Medicina, Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Universidad de Antioquia, Medellín, Colombia
- Mood Disorders Program, Hospital Universitario San Vicente Fundacion, Medellín, Colombia
| | - Gabriel Macaya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San José, Costa Rica
| | | | - Victor I Reus
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Chiara Sabatti
- Department of Health Research and Policy, Division of Biostatistics, Stanford University, Stanford, CA, USA
| | - Roel A Ophoff
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University California Los Angeles, Los Angeles, CA, USA
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Jia Z, Wu Q. Clustered Protocadherins Emerge as Novel Susceptibility Loci for Mental Disorders. Front Neurosci 2020; 14:587819. [PMID: 33262685 PMCID: PMC7688460 DOI: 10.3389/fnins.2020.587819] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/26/2020] [Indexed: 12/24/2022] Open
Abstract
The clustered protocadherins (cPcdhs) are a subfamily of type I single-pass transmembrane cell adhesion molecules predominantly expressed in the brain. Their stochastic and combinatorial expression patterns encode highly diverse neural identity codes which are central for neuronal self-avoidance and non-self discrimination in brain circuit formation. In this review, we first briefly outline mechanisms for generating a tremendous diversity of cPcdh cell-surface assemblies. We then summarize the biological functions of cPcdhs in a wide variety of neurodevelopmental processes, such as neuronal migration and survival, dendritic arborization and self-avoidance, axonal tiling and even spacing, and synaptogenesis. We focus on genetic, epigenetic, and 3D genomic dysregulations of cPcdhs that are associated with various neuropsychiatric and neurodevelopmental diseases. A deeper understanding of regulatory mechanisms and physiological functions of cPcdhs should provide significant insights into the pathogenesis of mental disorders and facilitate development of novel diagnostic and therapeutic strategies.
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Affiliation(s)
| | - Qiang Wu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, State Key Laboratory of Oncogenes and Related Genes, School of Life Sciences and Biotechnology, Institute of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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8
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Eraso-Osorio JJ, Palacio-Ortiz JD, Quintero-Cadavid CP, Estrada-Jaramillo S, Andrade-Carrillo R, Gómez-Cano S, Garcia-Valencia J, Aguirre-Acevedo DC, Duque-Rios PA, Valencia-Echeverry J, López-Jaramillo C. High Risk for Psychiatric Disorders in Bipolar Offspring. A Four Years Prospective Study. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2020; 50:S0034-7450(20)30048-2. [PMID: 33735023 DOI: 10.1016/j.rcp.2020.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/16/2019] [Accepted: 01/30/2020] [Indexed: 10/24/2022]
Abstract
Bipolar disorder (BD) has a large hereditary component. It is a disorder that begins in early adulthood, but about which it has been described a premorbid period preceding the onset of BD. During this herald expression psychiatric disorders and symptoms, such as depressive, manic, psychotic, anxious and others, may appear. OBJECTIVE To determine the psychopathological profile of a Bipolar Offspring (BO) group compared with the Community Control Offspring (CCO) group, and its evolution over time, including subthreshold symptoms and mental disorders. METHODS We conducted an observational mixed cohort study, with a prospective design. We included subjects from six to 30 years of age, from the region of Antioquia, Colombia. A total of 131 subjects from the risk group BO and 150 subjects from the CCO group were evaluated through validated psychiatric diagnostic interviews (K-SADS-PL and DIGS) at baseline and at 4 years follow up. All interviews were carried out by a staff blind to parent diagnoses. Follow-up assessment were complete in 72% of the offspring. Forty-two subjects were excluded as they surpassed the age of 30 years, and only 46 subjects were not followed (change of address or did not consent to participate). RESULTS Compared with the CCO group, the BO group had a higher frequency of affective disorder, psychotic disorder, externalizing disorders and use of the psychoactive substances during both assessments at time 1 and 2. The magnitude of the differences between the groups increased when they reach time 2. The BO group had a greater risk for presenting subthreshold symptoms and definitive psychiatric disorders, such as affective disorders, psychotic disorders and externalizing disorders. In addition, the BO group had a younger age of onset for psychoactive substances consumption. CONCLUSION During the follow-up period, the BO group had a higher risk of presenting mental disorders compared with the CCO group. The most relevant symptoms and disorders that could precede the onset of BD were depressive, bipolar not otherwise specified, psychotic and substance use.
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Affiliation(s)
- Juan Jose Eraso-Osorio
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia.
| | - Claudia Patricia Quintero-Cadavid
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Santiago Estrada-Jaramillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Rommel Andrade-Carrillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Sujey Gómez-Cano
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | | | - Daniel Camilo Aguirre-Acevedo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Institute of Medical Research, University of Antioquia, Medellín, Colombia
| | - Paula Andrea Duque-Rios
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
| | - Johanna Valencia-Echeverry
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia
| | - Carlos López-Jaramillo
- Member of the Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorder Program, Hospital San Vicente Foundation, Medellín, Colombia
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Predicted Cellular and Molecular Actions of Lithium in the Treatment of Bipolar Disorder: An In Silico Study. CNS Drugs 2020; 34:521-533. [PMID: 32306228 DOI: 10.1007/s40263-020-00723-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND Lithium remains the first-line treatment for bipolar disorder (BD), but patients respond to it variably. While a myriad of studies have attributed many genes and signaling pathways to lithium responsiveness, a comprehensive study with an integrated conclusion is still lacking. OBJECTIVE We aim to present an integrated mechanism for the therapeutic actions of lithium in BD. METHODS First, a list of lithium responsiveness-associated genes (LRAGs) was collected by searching in the literature. Thereafter, gene set enrichment analysis together with gene-gene interaction network analysis was performed, in order to find the cellular and molecular events related to the LRAGs. RESULTS Gene set enrichment analyses showed that the chromosomal regions 3p26, 4p21, 5q34 and 7p13 could be novel associated loci for lithium responsiveness in BD. Also, expression pattern analysis of the LRAGs showed their enrichment in adulthood stages and different cell lineages of brain, blood and immune system. Most of the LRAGs exhibited enriched expression in central parts of human brain, suggesting major contribution of these parts in lithium responsiveness. Beside the prediction of several biological processes and signaling pathways related to lithium responsiveness, an interaction network between these processes was constructed that was found to be regulated by a set of microRNAs. Proteins of the network were mainly classified as transcription factors and kinases, which also highlighted the crucial role of glycogen synthase kinase 3β (GSK3β) in lithium responsiveness. CONCLUSIONS The predicted cellular and molecular events in this study could be considered as mechanisms and also determinants of lithium responsiveness in BD.
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Sul JH, Service SK, Huang AY, Ramensky V, Hwang SG, Teshiba TM, Park Y, Ori APS, Zhang Z, Mullins N, Olde Loohuis LM, Fears SC, Araya C, Araya X, Spesny M, Bejarano J, Ramirez M, Castrillón G, Gomez-Makhinson J, Lopez MC, Montoya G, Montoya CP, Aldana I, Escobar JI, Ospina-Duque J, Kremeyer B, Bedoya G, Ruiz-Linares A, Cantor RM, Molina J, Coppola G, Ophoff RA, Macaya G, Lopez-Jaramillo C, Reus V, Bearden CE, Sabatti C, Freimer NB. Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates. Transl Psychiatry 2020; 10:74. [PMID: 32094344 PMCID: PMC7039961 DOI: 10.1038/s41398-020-0758-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 09/24/2019] [Accepted: 11/04/2019] [Indexed: 12/13/2022] Open
Abstract
Current evidence from case/control studies indicates that genetic risk for psychiatric disorders derives primarily from numerous common variants, each with a small phenotypic impact. The literature describing apparent segregation of bipolar disorder (BP) in numerous multigenerational pedigrees suggests that, in such families, large-effect inherited variants might play a greater role. To identify roles of rare and common variants on BP, we conducted genetic analyses in 26 Colombia and Costa Rica pedigrees ascertained for bipolar disorder 1 (BP1), the most severe and heritable form of BP. In these pedigrees, we performed microarray SNP genotyping of 838 individuals and high-coverage whole-genome sequencing of 449 individuals. We compared polygenic risk scores (PRS), estimated using the latest BP1 genome-wide association study (GWAS) summary statistics, between BP1 individuals and related controls. We also evaluated whether BP1 individuals had a higher burden of rare deleterious single-nucleotide variants (SNVs) and rare copy number variants (CNVs) in a set of genes related to BP1. We found that compared with unaffected relatives, BP1 individuals had higher PRS estimated from BP1 GWAS statistics (P = 0.001 ~ 0.007) and displayed modest increase in burdens of rare deleterious SNVs (P = 0.047) and rare CNVs (P = 0.002 ~ 0.033) in genes related to BP1. We did not observe rare variants segregating in the pedigrees. These results suggest that small-to-moderate effect rare and common variants are more likely to contribute to BP1 risk in these extended pedigrees than a few large-effect rare variants.
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Affiliation(s)
- Jae Hoon Sul
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Susan K. Service
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Alden Y. Huang
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Vasily Ramensky
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,Federal State Institution “National Medical Research Center for Preventive Medicine” of the Ministry of Healthcare of the Russian Federation. Petroverigskiy lane 10, Moscow, 101990 Russia
| | - Sun-Goo Hwang
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Terri M. Teshiba
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - YoungJun Park
- grid.19006.3e0000 0000 9632 6718Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Anil P. S. Ori
- grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Zhongyang Zhang
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Niamh Mullins
- grid.13097.3c0000 0001 2322 6764King’s College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, Denmark Hill, London, SE5 8AF UK ,grid.59734.3c0000 0001 0670 2351Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Loes M. Olde Loohuis
- grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Scott C. Fears
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Carmen Araya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Xinia Araya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Mitzi Spesny
- Division of Pediatric Pulmonology, Hospital Nacional de Nin ~os, San Jose, Costa Rica
| | - Julio Bejarano
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Margarita Ramirez
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Gabriel Castrillón
- Instituto de Alta Tecnologia Medica, Medellín, Antioquia, Colombia ,grid.15474.330000 0004 0477 2438Department of Neuroradiology, Klinikum rechts der Isar, TUM, Munich, Germany
| | - Juliana Gomez-Makhinson
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Maria C. Lopez
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Gabriel Montoya
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Claudia P. Montoya
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Ileana Aldana
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Javier I. Escobar
- grid.430387.b0000 0004 1936 8796Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901 USA
| | - Jorge Ospina-Duque
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Barbara Kremeyer
- grid.83440.3b0000000121901201Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT UK
| | - Gabriel Bedoya
- grid.412881.60000 0000 8882 5269Laboratory of Molecular Genetics, Institute of Biology, University of Antioquia, Medellín, 050010 Colombia
| | - Andres Ruiz-Linares
- grid.8547.e0000 0001 0125 2443Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200438 China ,grid.5399.60000 0001 2176 4817Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Rita M. Cantor
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA
| | | | - Giovanni Coppola
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Roel A. Ophoff
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA ,grid.7692.a0000000090126352Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Gabriel Macaya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Carlos Lopez-Jaramillo
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia ,Mood Disorders Program, Hospital San Vicente Fundacion, Medellín, 050011 Colombia
| | - Victor Reus
- grid.266102.10000 0001 2297 6811Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94143 USA
| | - Carrie E. Bearden
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Chiara Sabatti
- grid.168010.e0000000419368956Department of Health Research and Policy, Division of Biostatistics, Stanford University, Stanford, CA 94305 USA
| | - Nelson B. Freimer
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA
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11
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Uemura T, Waguri S. Emerging roles of Golgi/endosome-localizing monomeric clathrin adaptors GGAs. Anat Sci Int 2019; 95:12-21. [DOI: 10.1007/s12565-019-00505-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 10/10/2019] [Indexed: 01/13/2023]
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12
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Peek SL, Mah KM, Weiner JA. Regulation of neural circuit formation by protocadherins. Cell Mol Life Sci 2017; 74:4133-4157. [PMID: 28631008 PMCID: PMC5643215 DOI: 10.1007/s00018-017-2572-3] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 06/01/2017] [Accepted: 06/13/2017] [Indexed: 12/20/2022]
Abstract
The protocadherins (Pcdhs), which make up the most diverse group within the cadherin superfamily, were first discovered in the early 1990s. Data implicating the Pcdhs, including ~60 proteins encoded by the tandem Pcdha, Pcdhb, and Pcdhg gene clusters and another ~10 non-clustered Pcdhs, in the regulation of neural development have continually accumulated, with a significant expansion of the field over the past decade. Here, we review the many roles played by clustered and non-clustered Pcdhs in multiple steps important for the formation and function of neural circuits, including dendrite arborization, axon outgrowth and targeting, synaptogenesis, and synapse elimination. We further discuss studies implicating mutation or epigenetic dysregulation of Pcdh genes in a variety of human neurodevelopmental and neurological disorders. With recent structural modeling of Pcdh proteins, the prospects for uncovering molecular mechanisms of Pcdh extracellular and intracellular interactions, and their role in normal and disrupted neural circuit formation, are bright.
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Affiliation(s)
- Stacey L Peek
- Interdisciplinary Graduate Program in Neuroscience, The University of Iowa, Iowa City, IA, USA
- Department of Biology, The University of Iowa, Iowa City, IA, USA
| | - Kar Men Mah
- Department of Biology, The University of Iowa, Iowa City, IA, USA
| | - Joshua A Weiner
- Department of Biology, The University of Iowa, Iowa City, IA, USA.
- Department of Psychiatry, The University of Iowa, 143 Biology Building, Iowa City, IA, 52242, USA.
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13
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Expanding the phenotype half of the genotype-phenotype space. Proc Natl Acad Sci U S A 2016; 113:1477-9. [PMID: 26825113 DOI: 10.1073/pnas.1525363113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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14
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Fears SC, Schür R, Sjouwerman R, Service SK, Araya C, Araya X, Bejarano J, Knowles E, Gomez-Makhinson J, Lopez MC, Aldana I, Teshiba TM, Abaryan Z, Al-Sharif NB, Navarro L, Tishler TA, Altshuler L, Bartzokis G, Escobar JI, Glahn DC, Thompson PM, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Cantor RM, Freimer NB, Bearden CE. Brain structure-function associations in multi-generational families genetically enriched for bipolar disorder. Brain 2015; 138:2087-102. [PMID: 25943422 DOI: 10.1093/brain/awv106] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 02/14/2015] [Indexed: 01/10/2023] Open
Abstract
Recent theories regarding the pathophysiology of bipolar disorder suggest contributions of both neurodevelopmental and neurodegenerative processes. While structural neuroimaging studies indicate disease-associated neuroanatomical alterations, the behavioural correlates of these alterations have not been well characterized. Here, we investigated multi-generational families genetically enriched for bipolar disorder to: (i) characterize neurobehavioural correlates of neuroanatomical measures implicated in the pathophysiology of bipolar disorder; (ii) identify brain-behaviour associations that differ between diagnostic groups; (iii) identify neurocognitive traits that show evidence of accelerated ageing specifically in subjects with bipolar disorder; and (iv) identify brain-behaviour correlations that differ across the age span. Structural neuroimages and multi-dimensional assessments of temperament and neurocognition were acquired from 527 (153 bipolar disorder and 374 non-bipolar disorder) adults aged 18-87 years in 26 families with heavy genetic loading for bipolar disorder. We used linear regression models to identify significant brain-behaviour associations and test whether brain-behaviour relationships differed: (i) between diagnostic groups; and (ii) as a function of age. We found that total cortical and ventricular volume had the greatest number of significant behavioural associations, and included correlations with measures from multiple cognitive domains, particularly declarative and working memory and executive function. Cortical thickness measures, in contrast, showed more specific associations with declarative memory, letter fluency and processing speed tasks. While the majority of brain-behaviour relationships were similar across diagnostic groups, increased cortical thickness in ventrolateral prefrontal and parietal cortical regions was associated with better declarative memory only in bipolar disorder subjects, and not in non-bipolar disorder family members. Additionally, while age had a relatively strong impact on all neurocognitive traits, the effects of age on cognition did not differ between diagnostic groups. Most brain-behaviour associations were also similar across the age range, with the exception of cortical and ventricular volume and lingual gyrus thickness, which showed weak correlations with verbal fluency and inhibitory control at younger ages that increased in magnitude in older subjects, regardless of diagnosis. Findings indicate that neuroanatomical traits potentially impacted by bipolar disorder are significantly associated with multiple neurobehavioural domains. Structure-function relationships are generally preserved across diagnostic groups, with the notable exception of ventrolateral prefrontal and parietal association cortex, volumetric increases in which may be associated with cognitive resilience specifically in individuals with bipolar disorder. Although age impacted all neurobehavioural traits, we did not find any evidence of accelerated cognitive decline specific to bipolar disorder subjects. Regardless of diagnosis, greater global brain volume may represent a protective factor for the effects of ageing on executive functioning.
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Affiliation(s)
- Scott C Fears
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Remmelt Schür
- 2 Academisch Medisch Centrum, Department of Paediatric Neurology/Emma Children's Hospital, Amsterdam, The Netherlands
| | - Rachel Sjouwerman
- 3 University Medical Centre Utrecht, Neuroscience, Utrecht, The Netherlands
| | - Susan K Service
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carmen Araya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Xinia Araya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Bejarano
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Emma Knowles
- 5 Department of Psychiatry, Yale University and Olin Neuropsychiatric Research Centre, Institute of Living, Hartford Hospital, Hartford, Connecticut, USA
| | - Juliana Gomez-Makhinson
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Maria C Lopez
- 6 Grupo de Investigación en Psiquiatría [Research Group in Psychiatry (GIPSI)], Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia. Medellín, Colombia
| | - Ileana Aldana
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Terri M Teshiba
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Zvart Abaryan
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Noor B Al-Sharif
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Linda Navarro
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Todd A Tishler
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Lori Altshuler
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - George Bartzokis
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Javier I Escobar
- 7 Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
| | - David C Glahn
- 5 Department of Psychiatry, Yale University and Olin Neuropsychiatric Research Centre, Institute of Living, Hartford Hospital, Hartford, Connecticut, USA
| | - Paul M Thompson
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carlos Lopez-Jaramillo
- 6 Grupo de Investigación en Psiquiatría [Research Group in Psychiatry (GIPSI)], Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia. Medellín, Colombia
| | - Gabriel Macaya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Molina
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA 8 BioCiencias Laboratory, Guatemala, Guatemala
| | - Victor I Reus
- 9 Department of Psychiatry, University of California, San Francisco, California, USA
| | - Chiara Sabatti
- 10 Department of Health Research and Policy, Stanford University, Stanford, California, USA
| | - Rita M Cantor
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA 11 Department of Human Genetics, University of California, Los Angeles, California, USA
| | - Nelson B Freimer
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carrie E Bearden
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
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15
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Gonzalez S, Camarillo C, Rodriguez M, Ramirez M, Zavala J, Armas R, Contreras SA, Contreras J, Dassori A, Almasy L, Flores D, Jerez A, Raventós H, Ontiveros A, Nicolini H, Escamilla M. A genome-wide linkage scan of bipolar disorder in Latino families identifies susceptibility loci at 8q24 and 14q32. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:479-91. [PMID: 25044503 DOI: 10.1002/ajmg.b.32251] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 05/27/2014] [Indexed: 12/14/2022]
Abstract
A genome-wide nonparametric linkage screen was performed to localize Bipolar Disorder (BP) susceptibility loci in a sample of 3757 individuals of Latino ancestry. The sample included 963 individuals with BP phenotype (704 relative pairs) from 686 families recruited from the US, Mexico, Costa Rica, and Guatemala. Non-parametric analyses were performed over a 5 cM grid with an average genetic coverage of 0.67 cM. Multipoint analyses were conducted across the genome using non-parametric Kong & Cox LOD scores along with Sall statistics for all relative pairs. Suggestive and significant genome-wide thresholds were calculated based on 1000 simulations. Single-marker association tests in the presence of linkage were performed assuming a multiplicative model with a population prevalence of 2%. We identified two genome-wide significant susceptibly loci for BP at 8q24 and 14q32, and a third suggestive locus at 2q13-q14. Within these three linkage regions, the top associated single marker (rs1847694, P = 2.40 × 10(-5)) is located 195 Kb upstream of DPP10 in Chromosome 2. DPP10 is prominently expressed in brain neuronal populations, where it has been shown to bind and regulate Kv4-mediated A-type potassium channels. Taken together, these results provide additional evidence that 8q24, 14q32, and 2q13-q14 are susceptibly loci for BP and these regions may be involved in the pathogenesis of BP in the Latino population.
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Affiliation(s)
- Suzanne Gonzalez
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas; Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
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16
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Gragnoli C. Hypothesis of the neuroendocrine cortisol pathway gene role in the comorbidity of depression, type 2 diabetes, and metabolic syndrome. APPLICATION OF CLINICAL GENETICS 2014; 7:43-53. [PMID: 24817815 PMCID: PMC4012344 DOI: 10.2147/tacg.s39993] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Depression, type 2 diabetes (T2D), and metabolic syndrome (MetS) are often comorbid. Depression per se increases the risk for T2D by 60%. This risk is not accounted for by the use of antidepressant therapy. Stress causes hyperactivation of the hypothalamic–pituitary–adrenal (HPA) axis, by triggering the hypothalamic corticotropin-releasing hormone (CRH) secretion, which stimulates the anterior pituitary to release the adrenocorticotropin hormone (ACTH), which causes the adrenal secretion of cortisol. Depression is associated with an increased level of cortisol, and CRH and ACTH at inappropriately “normal” levels, that is too high compared to their expected lower levels due to cortisol negative feedback. T2D and MetS are also associated with hypercortisolism. High levels of cortisol can impair mood as well as cause hyperglycemia and insulin resistance and other traits typical of T2D and MetS. We hypothesize that HPA axis hyperactivation may be due to variants in the genes of the CRH receptors (CRHR1, CRHR2), corticotropin receptors (or melanocortin receptors, MC1R-MC5R), glucocorticoid receptor (NR3C1), mineralocorticoid receptor (NR3C2), and of the FK506 binding protein 51 (FKBP5), and that these variants may be partially responsible for the clinical association of depression, T2D and MetS. In this review, we will focus on the correlation of stress, HPA axis hyperactivation, and the possible genetic role of the CRHR1, CRHR2, MCR1–5, NR3C1, and NR3C2 receptors and FKBP5 in the susceptibility to the comorbidity of depression, T2D, and MetS. New studies are needed to confirm the hypothesized role of these genes in the clinical association of depression, T2D, and MetS.
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Affiliation(s)
- Claudia Gragnoli
- Center for Biotechnology and Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA, USA ; Molecular Biology Laboratory, Bios Biotech Multi-Diagnostic Health Center, Rome, Italy
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17
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Fears SC, Service SK, Kremeyer B, Araya C, Araya X, Bejarano J, Ramirez M, Castrillón G, Gomez-Franco J, Lopez MC, Montoya G, Montoya P, Aldana I, Teshiba TM, Abaryan Z, Al-Sharif NB, Ericson M, Jalbrzikowski M, Luykx JJ, Navarro L, Tishler TA, Altshuler L, Bartzokis G, Escobar J, Glahn DC, Ospina-Duque J, Risch N, Ruiz-Linares A, Thompson PM, Cantor RM, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Freimer NB, Bearden CE. Multisystem component phenotypes of bipolar disorder for genetic investigations of extended pedigrees. JAMA Psychiatry 2014; 71:375-87. [PMID: 24522887 PMCID: PMC4045237 DOI: 10.1001/jamapsychiatry.2013.4100] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE Genetic factors contribute to risk for bipolar disorder (BP), but its pathogenesis remains poorly understood. A focus on measuring multisystem quantitative traits that may be components of BP psychopathology may enable genetic dissection of this complex disorder, and investigation of extended pedigrees from genetically isolated populations may facilitate the detection of specific genetic variants that affect BP as well as its component phenotypes. OBJECTIVE To identify quantitative neurocognitive, temperament-related, and neuroanatomical phenotypes that appear heritable and associated with severe BP (bipolar I disorder [BP-I]) and therefore suitable for genetic linkage and association studies aimed at identifying variants contributing to BP-I risk. DESIGN, SETTING, AND PARTICIPANTS Multigenerational pedigree study in 2 closely related, genetically isolated populations: the Central Valley of Costa Rica and Antioquia, Colombia. A total of 738 individuals, all from Central Valley of Costa Rica and Antioquia pedigrees, participated; among them, 181 have BP-I. MAIN OUTCOMES AND MEASURES Familial aggregation (heritability) and association with BP-I of 169 quantitative neurocognitive, temperament, magnetic resonance imaging, and diffusion tensor imaging phenotypes. RESULTS Of 169 phenotypes investigated, 126 (75%) were significantly heritable and 53 (31%) were associated with BP-I. About one-quarter of the phenotypes, including measures from each phenotype domain, were both heritable and associated with BP-I. Neuroimaging phenotypes, particularly cortical thickness in prefrontal and temporal regions as well as volume and microstructural integrity of the corpus callosum, represented the most promising candidate traits for genetic mapping related to BP based on strong heritability and association with disease. Analyses of phenotypic and genetic covariation identified substantial correlations among the traits, at least some of which share a common underlying genetic architecture. CONCLUSIONS AND RELEVANCE To our knowledge, this is the most extensive investigation of BP-relevant component phenotypes to date. Our results identify brain and behavioral quantitative traits that appear to be genetically influenced and show a pattern of BP-I association within families that is consistent with expectations from case-control studies. Together, these phenotypes provide a basis for identifying loci contributing to BP-I risk and for genetic dissection of the disorder.
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Affiliation(s)
- Scott C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Susan K Service
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | | | - Carmen Araya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Xinia Araya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Bejarano
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Margarita Ramirez
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | | | - Juliana Gomez-Franco
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Maria C Lopez
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Montoya
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Patricia Montoya
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Ileana Aldana
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Terri M Teshiba
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Zvart Abaryan
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Noor B Al-Sharif
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Marissa Ericson
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Maria Jalbrzikowski
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Jurjen J Luykx
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles6Department of Psychiatry, ZNA Stuivenberg, Antwerp, Belgium
| | - Linda Navarro
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Todd A Tishler
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Lori Altshuler
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - George Bartzokis
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Javier Escobar
- Department of Psychiatry and Family Medicine, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, New Brunswick
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, Connecticut9Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut
| | - Jorge Ospina-Duque
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Neil Risch
- Institute for Human Genetics, University of California, San Francisco
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution, and Environment, University College London, London, England
| | - Paul M Thompson
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Rita M Cantor
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Carlos Lopez-Jaramillo
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia12Mood Disorders Program, Hospital San Vicente Fundacion, Medellín, Colombia
| | - Gabriel Macaya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Molina
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles13BioCiencias Lab, Guatemala, Guatemala
| | - Victor I Reus
- Department of Psychiatry, University of California, San Francisco
| | - Chiara Sabatti
- Department of Health Research and Policy, Stanford University, Stanford, California
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
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Funa K, Sasahara M. The roles of PDGF in development and during neurogenesis in the normal and diseased nervous system. J Neuroimmune Pharmacol 2013; 9:168-81. [PMID: 23771592 PMCID: PMC3955130 DOI: 10.1007/s11481-013-9479-z] [Citation(s) in RCA: 116] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2013] [Accepted: 05/23/2013] [Indexed: 12/13/2022]
Abstract
The four platelet-derived growth factor (PDGF) ligands and PDGF receptors (PDGFRs), α and β (PDGFRA, PDGFRB), are essential proteins that are expressed during embryonic and mature nervous systems, i.e., in neural progenitors, neurons, astrocytes, oligodendrocytes, and vascular cells. PDGF exerts essential roles from the gastrulation period to adult neuronal maintenance by contributing to the regulation of development of preplacodal progenitors, placodal ectoderm, and neural crest cells to adult neural progenitors, in coordinating with other factors. In adulthood, PDGF plays critical roles for maintenance of many specific cell types in the nervous system together with vascular cells through controlling the blood brain barrier homeostasis. At injury or various stresses, PDGF modulates neuronal excitability through adjusting various ion channels, and affecting synaptic plasticity and function. Furthermore, PDGF stimulates survival signals, majorly PI3-K/Akt pathway but also other ways, rescuing cells from apoptosis. Studies imply an involvement of PDGF in dendrite spine morphology, being critical for memory in the developing brain. Recent studies suggest association of PDGF genes with neuropsychiatric disorders. In this review, we will describe the roles of PDGF in the nervous system, from the discovery to recent findings, in order to understand the broad spectrum of PDGF in the nervous system. Recent development of pharmacological and replacement therapies targeting the PDGF system is discussed.
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Affiliation(s)
- Keiko Funa
- Sahlgrenska Cancer Center, University of Gothenburg, Box 425, SE 405 30, Gothenburg, Sweden,
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19
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Nag A, Bochukova EG, Kremeyer B, Campbell DD, Muller H, Valencia-Duarte AV, Cardona J, Rivas IC, Mesa SC, Cuartas M, Garcia J, Bedoya G, Cornejo W, Herrera LD, Romero R, Fournier E, Reus VI, Lowe TL, Farooqi IS, Mathews CA, McGrath LM, Yu D, Cook E, Wang K, Scharf JM, Pauls DL, Freimer NB, Plagnol V, Ruiz-Linares A. CNV analysis in Tourette syndrome implicates large genomic rearrangements in COL8A1 and NRXN1. PLoS One 2013; 8:e59061. [PMID: 23533600 PMCID: PMC3606459 DOI: 10.1371/journal.pone.0059061] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Accepted: 02/11/2013] [Indexed: 12/22/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder with a strong genetic component. However, the genetic architecture of TS remains uncertain. Copy number variation (CNV) has been shown to contribute to the genetic make-up of several neurodevelopmental conditions, including schizophrenia and autism. Here we describe CNV calls using SNP chip genotype data from an initial sample of 210 TS cases and 285 controls ascertained in two Latin American populations. After extensive quality control, we found that cases (N = 179) have a significant excess (P = 0.006) of large CNV (>500 kb) calls compared to controls (N = 234). Amongst 24 large CNVs seen only in the cases, we observed four duplications of the COL8A1 gene region. We also found two cases with ∼400 kb deletions involving NRXN1, a gene previously implicated in neurodevelopmental disorders, including TS. Follow-up using multiplex ligation-dependent probe amplification (and including 53 more TS cases) validated the CNV calls and identified additional patients with rearrangements in COL8A1 and NRXN1, but none in controls. Examination of available parents indicates that two out of three NRXN1 deletions detected in the TS cases are de-novo mutations. Our results are consistent with the proposal that rare CNVs play a role in TS aetiology and suggest a possible role for rearrangements in the COL8A1 and NRXN1 gene regions.
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Affiliation(s)
- Abhishek Nag
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Elena G. Bochukova
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Barbara Kremeyer
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Desmond D. Campbell
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Heike Muller
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Ana V. Valencia-Duarte
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
- Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Julio Cardona
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Isabel C. Rivas
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Sandra C. Mesa
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Mauricio Cuartas
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - Jharley Garcia
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Bedoya
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - William Cornejo
- Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | | | | | - Victor I. Reus
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - Thomas L. Lowe
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | | | - Carol A. Mathews
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - Lauren M. McGrath
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Dongmei Yu
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Ed Cook
- University of Illinois, Chicago, Illinois, United States of America
| | - Kai Wang
- University of Southern California, Los Angeles, California, United States of America
| | - Jeremiah M. Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - David L. Pauls
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, California, United States of America
| | - Vincent Plagnol
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Andrés Ruiz-Linares
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
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20
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Regenold WT, Pratt M, Nekkalapu S, Shapiro PS, Kristian T, Fiskum G. Mitochondrial detachment of hexokinase 1 in mood and psychotic disorders: implications for brain energy metabolism and neurotrophic signaling. J Psychiatr Res 2012; 46:95-104. [PMID: 22018957 DOI: 10.1016/j.jpsychires.2011.09.018] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Revised: 09/12/2011] [Accepted: 09/29/2011] [Indexed: 01/08/2023]
Abstract
The pathophysiology of mood and psychotic disorders, including unipolar depression (UPD), bipolar disorder (BPD) and schizophrenia (SCHZ), is largely unknown. Numerous studies, from molecular to neuroimaging, indicate that some individuals with these disorders have impaired brain energy metabolism evidenced by abnormal glucose metabolism and mitochondrial dysfunction. However, underlying mechanisms are unclear. A critical feature of brain energy metabolism is attachment to the outer mitochondrial membrane (OMM) of hexokinase 1 (HK1), an initial and rate-limiting enzyme of glycolysis. HK1 attachment to the OMM greatly enhances HK1 enzyme activity and couples cytosolic glycolysis to mitochondrial oxidative phosphorylation, through which the cell produces most of its adenosine triphosphate (ATP). HK1 mitochondrial attachment is also important to the survival of neurons and other cells through prevention of apoptosis and oxidative damage. Here we show, for the first time, a decrease in HK1 attachment to the OMM in postmortem parietal cortex brain tissue of individuals with UPD, BPD and SCHZ compared to tissue from controls without psychiatric illness. Furthermore, we show that HK1 mitochondrial detachment is associated with increased activity of the polyol pathway, an alternative, anaerobic pathway of glucose metabolism. These findings were observed in samples from both medicated and medication-free individuals. We propose that HK1 mitochondrial detachment could be linked to these disorders through impaired energy metabolism, increased vulnerability to oxidative stress, and impaired brain growth and development.
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Affiliation(s)
- W T Regenold
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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21
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Tang B, Thornton-Wells T, Askland KD. Comparative linkage meta-analysis reveals regionally-distinct, disparate genetic architectures: application to bipolar disorder and schizophrenia. PLoS One 2011; 6:e19073. [PMID: 21559500 PMCID: PMC3084739 DOI: 10.1371/journal.pone.0019073] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2010] [Accepted: 03/25/2011] [Indexed: 11/18/2022] Open
Abstract
New high-throughput, population-based methods and next-generation sequencing capabilities hold great promise in the quest for common and rare variant discovery and in the search for ”missing heritability.” However, the optimal analytic strategies for approaching such data are still actively debated, representing the latest rate-limiting step in genetic progress. Since it is likely a majority of common variants of modest effect have been identified through the application of tagSNP-based microarray platforms (i.e., GWAS), alternative approaches robust to detection of low-frequency (1–5% MAF) and rare (<1%) variants are of great importance. Of direct relevance, we have available an accumulated wealth of linkage data collected through traditional genetic methods over several decades, the full value of which has not been exhausted. To that end, we compare results from two different linkage meta-analysis methods—GSMA and MSP—applied to the same set of 13 bipolar disorder and 16 schizophrenia GWLS datasets. Interestingly, we find that the two methods implicate distinct, largely non-overlapping, genomic regions. Furthermore, based on the statistical methods themselves and our contextualization of these results within the larger genetic literatures, our findings suggest, for each disorder, distinct genetic architectures may reside within disparate genomic regions. Thus, comparative linkage meta-analysis (CLMA) may be used to optimize low-frequency and rare variant discovery in the modern genomic era.
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Affiliation(s)
- Brady Tang
- Biostatistics Graduate Program, Brown University, Providence, Rhode Island, United States of America
| | - Tricia Thornton-Wells
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Kathleen D. Askland
- Department of Psychiatry and Human Behavior, Butler Hospital, The Warren Alpert School of Medicine of Brown University, Providence, Rhode Island, United States of America
- * E-mail:
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22
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Cognitive and socio-emotional deficits in platelet-derived growth factor receptor-β gene knockout mice. PLoS One 2011; 6:e18004. [PMID: 21437241 PMCID: PMC3060876 DOI: 10.1371/journal.pone.0018004] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2011] [Accepted: 02/17/2011] [Indexed: 12/18/2022] Open
Abstract
Platelet-derived growth factor (PDGF) is a potent mitogen. Extensive in vivo studies of PDGF and its receptor (PDGFR) genes have reported that PDGF plays an important role in embryogenesis and development of the central nervous system (CNS). Furthermore, PDGF and the β subunit of the PDGF receptor (PDGFR-β) have been reported to be associated with schizophrenia and autism. However, no study has reported on the effects of PDGF deletion on mice behavior. Here we generated novel mutant mice (PDGFR-β KO) in which PDGFR-β was conditionally deleted in CNS neurons using the Cre/loxP system. Mice without the Cre transgene but with floxed PDGFR-β were used as controls. Both groups of mice reached adulthood without any apparent anatomical defects. These mice were further examined by conducting several behavioral tests for spatial memory, social interaction, conditioning, prepulse inhibition, and forced swimming. The test results indicated that the PDGFR-β KO mice show deficits in all of these areas. Furthermore, an immunohistochemical study of the PDGFR-β KO mice brain indicated that the number of parvalbumin (calcium-binding protein)-positive (i.e., putatively γ-aminobutyric acid-ergic) neurons was low in the amygdala, hippocampus, and medial prefrontal cortex. Neurophysiological studies indicated that sensory-evoked gamma oscillation was low in the PDGFR-β KO mice, consistent with the observed reduction in the number of parvalbumin-positive neurons. These results suggest that PDGFR-β plays an important role in cognitive and socioemotional functions, and that deficits in this receptor may partly underlie the cognitive and socioemotional deficits observed in schizophrenic and autistic patients.
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Zai G, Zai C, Tiwari A, King N, Braithwaite J, van Tol H, Kennedy JL. Weak association of the platelet-derived growth factor beta (PDGFB) and PDGF receptor beta (PDGFRB) genes with schizophrenia and schizoaffective disorder. World J Biol Psychiatry 2011; 12:127-33. [PMID: 20950212 DOI: 10.3109/15622975.2010.520333] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
UNLABELLED Schizophrenia is a severe neuropsychiatric disorder with diverse characterization of symptoms. Extensive research has been performed to elucidate the etiology of schizophrenia. One of the most convincing hypotheses comes from the dopaminergic system although none of the core genes has been consistently positive in association studies. OBJECTIVE In this investigation, we explored the possibility that the genes for platelet-derived growth factor beta (PDGFB) and its receptor (PDGFRB) might play an important role in the development of schizophrenia based on previous reports pointing to their ability to interact with the dopamine D(2)/D(4) and NMDA receptors as well as their role in neurite outgrowth. METHODS We investigated the association of variants around these genes with schizophrenia and schizoaffective disorder in 104 small nuclear families using the Sib-Transmission Disequilibrium Test (TDT-STDT). Furthermore, quantitative trait analysis using family-based association test was applied to determine possible association of age at onset (AAO). RESULTS Allele G in PDGFRB(rs758588) was associated with AAO (P=0.019). An over-transmission of allele T in PDGFB(rs130650) polymorphism (P=0.043) and an over-transmission of allele A in PDGFRB(rs6865659) polymorphism (P=0.046) were observed. Furthermore, the combined TDT-STDT yielded consistent results. CONCLUSION Overall, PDGFB and PDGFRB genes might play a role in the etiology of schizophrenia.
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Affiliation(s)
- Gwyneth Zai
- Neurogenetics Section, Centre for Addiction and Mental Health, Clarke Division, Toronto, Canada
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24
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Mathieu F, Dizier MH, Etain B, Jamain S, Rietschel M, Maier W, Albus M, McKeon P, Roche S, Blackwood D, Muir WJ, Henry C, Malafosse A, Preisig M, Ferrero F, Cichon S, Schumacher J, Ohlraun S, Propping P, Abou Jamra R, Schulze TG, Zelenica D, Charon C, Marusic A, Dernovsek MC, Gurling H, Nöthen M, Lathrop M, Leboyer M, Bellivier F. European collaborative study of early-onset bipolar disorder: Evidence for genetic heterogeneity on 2q14 according to age at onset. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:1425-33. [PMID: 20886542 DOI: 10.1002/ajmg.b.31121] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2009] [Accepted: 08/03/2010] [Indexed: 02/04/2023]
Abstract
Bipolar disorder has a genetic component, but the mode of inheritance remains unclear. A previous genome scan conducted in 70 European families led to detect eight regions linked to bipolar disease. Here, we present an investigation of whether the phenotypic heterogeneity of the disorder corresponds to genetic heterogeneity in these regions using additional markers and an extended sample of families. The MLS statistic was used for linkage analyses. The predivided sample test and the maximum likelihood binomial methods were used to test genetic homogeneity between early-onset bipolar type I (cut-off of 22 years) and other types of the disorder (later onset of bipolar type I and early-onset bipolar type II), using a total of 138 independent bipolar-affected sib-pairs. Analysis of the extended sample of families supports linkage in four regions (2q14, 3p14, 16p23, and 20p12) of the eight regions of linkage suggested by our previous genome scan. Heterogeneity testing revealed genetic heterogeneity between early and late-onset bipolar type I in the 2q14 region (P = 0.0001). Only the early form of the bipolar disorder but not the late form appeared to be linked to this region. This region may therefore include a genetic factor either specifically involved in the early-onset bipolar type I or only influencing the age at onset (AAO). Our findings illustrate that stratification according to AAO may be valuable for the identification of genetic vulnerability polymorphisms. © 2010 Wiley-Liss, Inc.
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Affiliation(s)
- Flavie Mathieu
- INSERM, U 955, IMRB, Department of Medical Genetics, Psychiatry Genetics, Creteil, France.
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25
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Kremeyer B, García J, Müller H, Burley MW, Herzberg I, Parra MV, Duque C, Vega J, Montoya P, López MC, Bedoya G, Reus V, Palacio C, López C, Ospina-Duque J, Freimer NB, Ruiz-Linares A. Genome-wide linkage scan of bipolar disorder in a Colombian population isolate replicates Loci on chromosomes 7p21-22, 1p31, 16p12 and 21q21-22 and identifies a novel locus on chromosome 12q. Hum Hered 2010; 70:255-68. [PMID: 21071953 PMCID: PMC3068751 DOI: 10.1159/000320914] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2010] [Accepted: 09/03/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Bipolar disorder (BP) is a severe psychiatric illness, characterised by alternating episodes of depression and mania, which ranks among the top ten causes of morbidity and life-long disability world-wide. We have previously performed a whole-genome linkage scan on 6 pedigrees segregating severe BP from the well-characterised population isolate of Antioquia, Colombia. We recently collected genotypes for the same set of 382 autosomal microsatellite markers in 9 additional Antioquian BP pedigrees. Here, we report the analysis of the combined pedigree set. METHODS Linkage analysis using both parametric and nonparametric approaches was conducted for 3 different diagnostic models: severe BP only (BPI); mood disorders (BPI, BPII and major depression); and psychosis (operationally defined by the occurrence of at least 1 episode of hallucinations and/or delusions). RESULTS AND CONCLUSION For BPI only, the most interesting result was obtained for chromosome 7p21.1-p22.2 under a recessive model of inheritance (heterogeneity LOD score = 2.80), a region that had previously been linked to BP in a study on Portuguese Island families. For both BPI and mood disorders, nonparametric analyses identified a locus on chromosome 12ct-q14 (nonparametric linkage = 2.55 and 2.35, respectively). This locus has not previously been reported as a candidate region for BP. Additional candidate regions were found on chromosomes 1p22-31 (mood disorders) and 21q21-22 (BPI), 2 loci that have repeatedly been implicated in BP susceptibility. Linkage analysis of psychosis as a phenotype identified candidate regions on chromosomes 2q24-31 and 16p12-q12. The finding on chromosome 16p is noteworthy because the same locus has been implicated by genome-wide association analyses of BP.
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Affiliation(s)
- B Kremeyer
- Department of Genetics, Evolution and Environment, University College London, London, UK.
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Jasinska A, Service S, Jawaheer D, DeYoung J, Levinson M, Zhang Z, Kremeyer B, Muller H, Aldana I, Garcia J, Restrepo G, Lopez C, Palacio C, Duque C, Parra M, Vega J, Ortiz D, Bedoya G, Mathews C, Davanzo P, Fournier E, Bejarano J, Ramirez M, Ortiz CA, Araya X, Molina J, Sabatti C, Reus V, Ospina J, Macaya G, Ruiz-Linares A, Freimer N. A narrow and highly significant linkage signal for severe bipolar disorder in the chromosome 5q33 region in Latin American pedigrees. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:998-1006. [PMID: 19319892 PMCID: PMC4815924 DOI: 10.1002/ajmg.b.30956] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We previously reported linkage of bipolar disorder to 5q33-q34 in families from two closely related population isolates, the Central Valley of Costa Rica (CVCR) and Antioquia, Colombia (CO). Here we present follow up results from fine-scale mapping in large CVCR and CO families segregating severe bipolar disorder, BP-I, and in 343 population trios/duos from CVCR and CO. Employing densely spaced SNPs to fine map the prior linkage peak region increases linkage evidence and clarifies the position of the putative BP-I locus. We performed two-point linkage analysis with 1134 SNPs in an approximately 9 Mb region between markers D5S410 and D5S422. Combining pedigrees from CVCR and CO yields a LOD score of 4.9 at SNP rs10035961. Two other SNPs (rs7721142 and rs1422795) within the same 94 kb region also displayed LOD scores greater than 4. This linkage peak coincides with our prior microsatellite results and suggests a narrowed BP-I susceptibility regions in these families. To investigate if the locus implicated in the familial form of BP-I also contributes to disease risk in the population, we followed up the family results with association analysis in duo and trio samples, obtaining signals within 2 Mb of the peak linkage signal in the pedigrees; rs12523547 and rs267015 (P = 0.00004 and 0.00016, respectively) in the CO sample and rs244960 in the CVCR sample and the combined sample, with P = 0.00032 and 0.00016, respectively. It remains unclear whether these association results reflect the same locus contributing to BP susceptibility within the extended pedigrees.
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Affiliation(s)
- A.J. Jasinska
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - S. Service
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - D. Jawaheer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - J. DeYoung
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - M. Levinson
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - Z. Zhang
- Department of Statistics, University of California, Los Angeles, California
| | - B. Kremeyer
- Galton Laboratory, Department of Biology, University College London, London, United Kingdom
| | - H. Muller
- Galton Laboratory, Department of Biology, University College London, London, United Kingdom
| | - I. Aldana
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - J. Garcia
- Departamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - G. Restrepo
- Departamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - C. Lopez
- Departamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - C. Palacio
- Departamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - C. Duque
- Laboratorio de Genetica Molecular, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - M. Parra
- Laboratorio de Genetica Molecular, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - J. Vega
- Laboratorio de Genetica Molecular, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - D. Ortiz
- Laboratorio de Genetica Molecular, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - G. Bedoya
- Laboratorio de Genetica Molecular, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - C. Mathews
- Department of Psychiatry, University of California, San Francisco, California
| | - P. Davanzo
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Los Angeles, California
| | - E. Fournier
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - J. Bejarano
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - M. Ramirez
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - C. Araya Ortiz
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - X. Araya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - J. Molina
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
| | - C. Sabatti
- Department of Statistics, University of California, Los Angeles, California
- Department of Statistics and Department of Human Genetics, University of California, Los Angeles, California
| | - V. Reus
- Department of Psychiatry, University of California, San Francisco, California
| | - J. Ospina
- Departamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia, South Carolina
| | - G. Macaya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - A. Ruiz-Linares
- Galton Laboratory, Department of Biology, University College London, London, United Kingdom
| | - N.B. Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California
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Protocadherin-alpha family is required for serotonergic projections to appropriately innervate target brain areas. J Neurosci 2009; 29:9137-47. [PMID: 19625505 DOI: 10.1523/jneurosci.5478-08.2009] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Serotonergic axons from the raphe nuclei in the brainstem project to every region of the brain, where they make connections through their extensive terminal arborizations. This serotonergic innervation contributes to various normal behaviors and psychiatric disorders. The protocadherin-alpha (Pcdha) family of clustered protocadherins consists of 14 cadherin-related molecules generated from a single gene cluster. We found that the Pcdhas were strongly expressed in the serotonergic neurons. To elucidate their roles, we examined serotonergic fibers in a mouse mutant (Pcdha(Delta CR/Delta CR)) lacking the Pcdha cytoplasmic region-encoding exons, which are common to the gene cluster. In the first week after birth, the distribution pattern of serotonergic fibers in Pcdha(Delta CR/Delta CR) mice was similar to wild-type, but by 3 weeks of age, when the serotonergic axonal termini complete their arborizations, the distribution of the projections was abnormal. In some target regions, notably the globus pallidus and substantia nigra, the normally even distribution of serotonin axonal terminals was, in the mutants, dense at the periphery of each region, but sparse in the center. In the stratum lacunosum-molecular of the hippocampus, the mutants showed denser serotonergic innervation than in wild-type, and in the dentate gyrus of the hippocampus and the caudate-putamen, the innervation was sparser. Together, the abnormalities suggested that Pcdha proteins are important in the late-stage maturation of serotonergic projections. Further examination of alternatively spliced exons encoding the cytoplasmic tail showed that the A-type (but not the B-type) cytoplasmic tail was essential for the normal development of serotonergic projections.
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Kishi S, Slack BE, Uchiyama J, Zhdanova IV. Zebrafish as a genetic model in biological and behavioral gerontology: where development meets aging in vertebrates--a mini-review. Gerontology 2009; 55:430-41. [PMID: 19654474 DOI: 10.1159/000228892] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2008] [Accepted: 03/12/2009] [Indexed: 01/10/2023] Open
Abstract
Understanding the molecular mechanisms of aging in vertebrates is a major challenge of modern biology and biomedical science. This is due, in part, to the complexity of the aging process and its multifactorial nature, the paucity of animal models that lend themselves to unbiased high-throughput screening for aging phenotypes, and the difficulty of predicting such phenotypes at an early age. We suggest that the zebrafish genetic model offers a unique opportunity to fill in this gap and contributes to advances in biological and behavioral gerontology. Our recent studies demonstrated that this diurnal vertebrate with gradual senescence is an excellent model in which to study age-dependent changes in musculoskeletal and eye morphology, endocrine factors, gene expression, circadian clock, sleep and cognitive functions. Importantly, we have also found that the presence of a senescence-associated biomarker ('senescence-associated beta-galactosidase') can be documented during early zebrafish development and is predictive of premature aging phenotypes later in adult life. The availability of mutant 'genotypes' with identified aging 'phenotypes' in zebrafish, in combination with a wealth of information about zebrafish development and genetics, and the existence of multiple mutant and transgenic lines, should significantly facilitate the use of this outstanding vertebrate model in deciphering the mechanisms of aging, and in developing preventive and therapeutic strategies to prolong the productive life span ('health span') in humans.
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Affiliation(s)
- Shuji Kishi
- Department of Metabolism and Aging, The Scripps Research Institute, Jupiter, FL 33458, USA.
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Kaneva R, Milanova V, Angelicheva D, MacGregor S, Kostov C, Vladimirova R, Aleksiev S, Angelova M, Stoyanova V, Loh A, Hallmayer J, Kalaydjieva L, Jablensky A. Bipolar disorder in the Bulgarian Gypsies: genetic heterogeneity in a young founder population. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:191-201. [PMID: 18444255 DOI: 10.1002/ajmg.b.30775] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
We report the results of follow-up analyses of 12 genomic regions showing evidence of linkage in a genome-wide scan (GWS) of Gypsy families with bipolar affective disorder (BPAD). The Gypsies are a young founder population comprising multiple genetically differentiated sub-isolates with strong founder effect and limited genetic diversity. The BPAD families belong to a single sub-isolate and are connected by numerous inter-marriages, resulting in a super-pedigree with 181 members. We aimed to re-assess the positive GWS findings and search for evidence of a founder susceptibility allele after the addition of newly recruited subjects, some changes in diagnostic assignment, and the use of denser genetic maps. Linkage analysis was conducted with SimWalk2, accommodating the full complexity of pedigree structure and using a conservative narrow phenotype definition (BPAD only). Six regions were rejected, while 1p36, 13q31, 17p11, 17q21, 6q24, and 4q31 produced nominally significant results in both the individual families and the super-pedigree. Haplotypes were reconstructed and joint tests for linkage and association were done for the most promising regions. No common ancestral haplotype was identified by sequencing a strong positional and functional candidate gene (GRM1) and additional STR genotyping in the top GWS region, 6q24. The best supported region was a 12 cM interval on 4q31, also implicated in previous studies, where we obtained significant results in the super-pedigree using both SimWalk2 (P = 0.004) and joint Pseudomarker analysis of linkage and linkage disequilibrium (P = 0.000056). The size of the region and the characteristics of the Gypsy population make it suitable for LD mapping.
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Kerner B, Jasinska AJ, DeYoung J, Almonte M, Choi OW, Freimer NB. Polymorphisms in the GRIA1 gene region in psychotic bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:24-32. [PMID: 18484081 PMCID: PMC4130207 DOI: 10.1002/ajmg.b.30780] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We reported previously a significant linkage signal between psychotic bipolar disorder (BP) and microsatellite markers on chromosome 5q31-34 in the National Institute of Mental Health Bipolar Genetics Initiative (NIMH-BPGI) data set, Wave 1. In an attempt to fine-map this linkage signal we genotyped 1,134 single nucleotide polymorphisms (SNPs) under the linkage peak in 23 informative families (131 individuals) with evidence of linkage. We tested family based association in the presence of linkage with the computer software package FBAT. The most significant association in these families was with a SNP in the second intron of GRIA1 (alpha-amino-3-hydroxy-5-methyl-4-isoxazole proprionic acid (AMPA) subunit 1 receptor gene) (rs490922, Z-score = 3.3, P = 0.001). The analysis of 37 additional families with psychotic BP from NIMH-BPGI data sets, Waves 2, 3, and 4 revealed a signal at a SNP in intron 5 of the GRIA1 gene (rs4385264, Z-score = 3.2, P-value = 0.002). A combined analysis of all 60 families continued to support evidence for association of GRIA1 with psychotic BP; however, individual SNPs could not be replicated across datasets. The AMPA1 receptor has been shown to influence cognitive function, such as working memory and reward learning. Our findings suggest that variations in this receptor may contribute to the pathophysiology of BP with psychotic features in some families.
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Affiliation(s)
- Berit Kerner
- Center for Neurobehavioral Genetics, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, 90095-1761, USA.
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31
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Abstract
Bipolar disorder, especially the most severe type (type I), has a strong genetic component. Family studies suggest that a small number of genes of modest effect are involved in this disorder. Family-based studies have identified a number of chromosomal regions linked to bipolar disorder, and progress is currently being made in identifying positional candidate genes within those regions, À number of candidate genes have also shown evidence of association with bipolar disorder, and genome-wide association studies are now under way, using dense genetic maps. Replication studies in larger or combined datasets are needed to definitively assign a role for specific genes in this disorder. This review covers our current knowledge of the genetics of bipolar disorder, and provides a commentary on current approaches used to identify the genes involved in this complex behavioral disorder.
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Affiliation(s)
- Michael A Escamilla
- University of Texas Health Science Center at San Antonio, South Texas Medical Genetics Research Center, 1214 Schunior St, Edinburg, TX 78539, USA.
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Kristiansson K, Naukkarinen J, Peltonen L. Isolated populations and complex disease gene identification. Genome Biol 2008; 9:109. [PMID: 18771588 PMCID: PMC2575505 DOI: 10.1186/gb-2008-9-8-109] [Citation(s) in RCA: 114] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Isolated populations can be useful for the identification of genes underlying common complex diseases. The utility of genetically isolated populations (population isolates) in the mapping and identification of genes is not only limited to the study of rare diseases; isolated populations also provide a useful resource for studies aimed at improved understanding of the biology underlying common diseases and their component traits. Well characterized human populations provide excellent study samples for many different genetic investigations, ranging from genome-wide association studies to the characterization of interactions between genes and the environment.
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Affiliation(s)
- Kati Kristiansson
- National Public Health Institute and FIMM, Institute for Molecular Medicine Finland, Helsinki 00300, Finland
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33
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Pedrosa E, Stefanescu R, Margolis B, Petruolo O, Lo Y, Nolan K, Novak T, Stopkova P, Lachman HM. Analysis of protocadherin alpha gene enhancer polymorphism in bipolar disorder and schizophrenia. Schizophr Res 2008; 102:210-9. [PMID: 18508241 PMCID: PMC2862380 DOI: 10.1016/j.schres.2008.04.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2008] [Revised: 04/07/2008] [Accepted: 04/10/2008] [Indexed: 02/06/2023]
Abstract
Cadherins and protocadherins are cell adhesion proteins that play an important role in neuronal migration, differentiation and synaptogenesis, properties that make them targets to consider in schizophrenia (SZ) and bipolar disorder (BD) pathogenesis. Consequently, allelic variation occurring in protocadherin and cadherin encoding genes that map to regions of the genome targeted in SZ and BD linkage studies are particularly strong candidates to consider. One such set of candidate genes is the 5q31-linked PCDH family, which consists of more than 50 exons encoding three related, though distinct family members--alpha, beta, and gamma--which can generate thousands of different protocadherin proteins through alternative promoter usage and cis-alternative splicing. In this study, we focused on a SNP, rs31745, which is located in a putative PCDHalpha enhancer mapped by ChIP-chip using antibodies to covalently modified histone H3. A striking increase in homozygotes for the minor allele at this locus was detected in patients with BD. Molecular analysis revealed that the SNP causes allele-specific changes in binding to a brain protein. The findings suggest that the 5q31-linked PCDH locus should be more thoroughly considered as a disease-susceptibility locus in psychiatric disorders.
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Affiliation(s)
- Erika Pedrosa
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Radu Stefanescu
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Benjamin Margolis
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Oriana Petruolo
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Yungtai Lo
- Department of Epidemiology and Population Health Montefiore Medical Center, Albert Einstein College of Medicine
| | - Karen Nolan
- Department of Psychiatry, Nathan Kline Institute, Orangeburg, New York
| | - Tomas Novak
- Prague Psychiatric Center, Prague, Czech Republic
| | | | - Herbert M. Lachman
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
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34
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Analysis of protocadherin alpha gene deletion variant in bipolar disorder and schizophrenia. Psychiatr Genet 2008; 18:110-5. [DOI: 10.1097/ypg.0b013e3282fa1838] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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35
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Venken T, Del-Favero J. Chasing genes for mood disorders and schizophrenia in genetically isolated populations. Hum Mutat 2007; 28:1156-70. [PMID: 17659644 DOI: 10.1002/humu.20582] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Major affective disorders and schizophrenia are among the most common brain diseases worldwide and their predisposition is influenced by a complex interaction of genetic and environmental factors. So far, traditional linkage mapping studies for these complex disorders have not achieved the same success as the positional cloning of genes for Mendelian diseases. The struggle to identify susceptibility genes for complex disorders has stimulated the development of alternative approaches, including studies in genetically isolated populations. Since isolated populations are likely to have both a reduced number of genetic vulnerability factors and environmental background and are therefore considered to be more homogeneous compared to outbred populations, the use of isolated populations in genetic studies is expected to improve the chance of finding susceptibility loci and genes. Here we review the role of isolated populations, based on linkage and association studies, in the identification of susceptibility genes for bipolar disorder and schizophrenia.
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Affiliation(s)
- Tine Venken
- Applied Molecular Genomics Group, Department of Molecular Genetics, VIB, Antwerpen, Belgium
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