1
|
Janiri D, Moccia L, Montanari S, Simonetti A, Conte E, Chieffo D, Monti L, Kotzalidis GD, Janiri L, Sani G. Primary emotional systems, childhood trauma, and suicidal ideation in youths with bipolar disorders. CHILD ABUSE & NEGLECT 2023; 146:106521. [PMID: 37931544 DOI: 10.1016/j.chiabu.2023.106521] [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: 04/11/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Bipolar disorders (BD) in youths are strongly associated with suicidal ideation. Childhood trauma is a prominent environmental stressor associated with both BD diagnosis and suicide. Primary emotional systems are altered in adult BD and may contribute to suicide risk in youths. OBJECTIVE The aim of this study was to investigate primary emotional systems distribution patterns and childhood trauma in youths' BD with and without suicidal ideation (BD-IS, BD-NIS). PARTICIPANTS AND SETTING We assessed 289 participants, 103 youths with DSM-5 BD and 186 healthy controls (HCs). METHODS Primary emotional systems were obtained with Panksepp's Affective Neuroscience Personality Scale (ANPS), and history of childhood trauma using the Childhood Trauma Questionnaire (CTQ). Suicidal ideation was assessed through the Columbia Suicide Scale for the Rating of Suicide Severity (C-SSRS). The associations with suicidal ideation were tested using two different multivariate models. RESULTS Over 48 % of participants reported lifetime suicidal ideation and differed on clinical variables from BD-NIS. According to the first model (Wilk's Lambda = 0.72, p < 0.0001), BD-IS scored higher on Panksepp's ANGER and lower on PLAY and CARE than BD-NIS. Both BD-SI and BD-NSI scored higher on ANGER and SEEK and lower on PLAY and CARE than HCs. BD-IS reported more emotional abuse than BD-NIS. They also reported more emotional, sexual, and physical abuse, and emotional neglect than HCs. Only ANGER (OR = 1.13, 95 % CI = 1.01-1.26, Wald = 5.72) and CTQ-Emotional abuse (OR = 1.26, 95 % C.I. = 1.04-1.52, Wald = 5.72) independently predicted suicidal ideation. CONCLUSIONS Findings support the importance of assessing primary emotional systems and childhood trauma, in particular emotional abuse, in youths with BD at risk for suicide.
Collapse
Affiliation(s)
- Delfina Janiri
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Lorenzo Moccia
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Silvia Montanari
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alessio Simonetti
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Eliana Conte
- Early Intervention Unit, ASL Roma 3, 00152 Rome, Italy; Department of Psychology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Daniela Chieffo
- Department of Psychology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Laura Monti
- Department of Psychology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Georgios D Kotzalidis
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luigi Janiri
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gabriele Sani
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| |
Collapse
|
2
|
Abstract
Bipolar disorder is a lifelong mood disorder characterized by extreme mood swings between mania and depression. Despite fitness costs associated with increased mortality and significant impairment, bipolar disorder has persisted in the population with a high heritability and a stable prevalence. Creativity and other positive traits have repeatedly been associated with the bipolar spectrum, particularly among unaffected first-degree relatives and those with milder expressions of bipolar traits. This suggests a model in which large doses of risk variants cause illness, but mild to moderate doses confer advantages, which serve to maintain bipolar disorder in the population. Bipolar disorder may thus be better conceptualized as a dimensional trait existing at the extreme of normal population variation in positive temperament, personality, and cognitive traits, aspects of which may reflect a shared vulnerability with creativity. Investigations of this shared vulnerability may provide insight into the genetic mechanisms underlying illness and suggest novel treatments.
Collapse
Affiliation(s)
- Tiffany A Greenwood
- Department of Psychiatry, University of California, San Diego, La Jolla, California 92093, USA;
| |
Collapse
|
3
|
Reinforcement sensitivity, depression and anxiety: A meta-analysis and meta-analytic structural equation model. Clin Psychol Rev 2020; 77:101842. [PMID: 32179341 DOI: 10.1016/j.cpr.2020.101842] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 02/06/2020] [Accepted: 03/04/2020] [Indexed: 12/21/2022]
Abstract
Reinforcement Sensitivity Theory (RST) posits that individual differences in reward and punishment processing predict differences in cognition, behavior, and psychopathology. We performed a quantitative review of the relationships between reinforcement sensitivity, depression and anxiety, in two separate sets of analyses. First, we reviewed 204 studies that reported either correlations between reinforcement sensitivity and self-reported symptom severity or differences in reinforcement sensitivity between diagnosed and healthy participants, yielding 483 effect sizes. Both depression (Hedges' g = .99) and anxiety (g = 1.21) were found to be high on punishment sensitivity. Reward sensitivity negatively predicted only depressive disorders (g = -.21). More severe clinical states (e.g., acute vs remission) predicted larger effect sizes for depression but not anxiety. Next, we reviewed an additional 39 studies that reported correlations between reinforcement sensitivity and both depression and anxiety, yielding 156 effect sizes. We then performed meta-analytic structural equation modeling to simultaneously estimate all covariances and control for comorbidity. Again we found punishment sensitivity to predict depression (β = .37) and anxiety (β = .35), with reward sensitivity only predicting depression (β = -.07). The transdiagnostic role of punishment sensitivity and the discriminatory role of reward sensitivity support a hierarchical approach to RST and psychopathology.
Collapse
|
4
|
Bruce HA, Kochunov P, Mitchell B, Strauss KA, Ament SA, Rowland LM, Du X, Fisseha F, Kavita T, Chiappelli J, Wisner K, Sampath H, Chen S, Kvarta MD, Seneviratne C, Postolache TT, Bellon A, McMahon FJ, Shuldiner A, Elliot Hong L. Clinical and genetic validity of quantitative bipolarity. Transl Psychiatry 2019; 9:228. [PMID: 31527585 PMCID: PMC6746871 DOI: 10.1038/s41398-019-0561-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 03/04/2019] [Accepted: 04/10/2019] [Indexed: 12/19/2022] Open
Abstract
Research has yet to provide a comprehensive understanding of the genetic basis of bipolar disorder (BP). In genetic studies, defining the phenotype by diagnosis may miss risk-allele carriers without BP. The authors aimed to test whether quantitatively detected subclinical symptoms of bipolarity identifies a heritable trait that infers risk for BP. The Quantitative Bipolarity Scale (QBS) was administered to 310 Old Order Amish or Mennonite individuals from multigenerational pedigrees; 110 individuals had psychiatric diagnoses (20 BP, 61 major depressive disorders (MDD), 3 psychotic disorders, 26 other psychiatric disorders). Familial aggregation of QBS was calculated using the variance components method to derive heritability and shared household effects. The QBS score was significantly higher in BP subjects (31.5 ± 3.6) compared to MDD (16.7 ± 2.0), other psychiatric diagnoses (7.0 ± 1.9), and no psychiatric diagnosis (6.0 ± 0.65) (all p < 0.001). QBS in the whole sample was significantly heritable (h2 = 0.46 ± 0.15, p < 0.001) while the variance attributed to the shared household effect was not significant (p = 0.073). When subjects with psychiatric illness were removed, the QBS heritability was similar (h2 = 0.59 ± 0.18, p < 0.001). These findings suggest that quantitative bipolarity as measured by QBS can separate BP from other psychiatric illnesses yet is significantly heritable with and without BP included in the pedigrees suggesting that the quantitative bipolarity describes a continuous heritable trait that is not driven by a discrete psychiatric diagnosis. Bipolarity trait assessment may be used to supplement the diagnosis of BP in future genetic studies and could be especially useful for capturing subclinical genetic contributions to a BP phenotype.
Collapse
Affiliation(s)
- Heather A. Bruce
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Peter Kochunov
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Braxton Mitchell
- 0000 0001 2175 4264grid.411024.2Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Kevin A. Strauss
- grid.418640.fClinic for Special Children, Strasburg, PA 17579 USA
| | - Seth A. Ament
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Laura M. Rowland
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Xiaoming Du
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Feven Fisseha
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Thangavelu Kavita
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Joshua Chiappelli
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Krista Wisner
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Hemalatha Sampath
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Shuo Chen
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Mark D. Kvarta
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Chamindi Seneviratne
- 0000 0001 2175 4264grid.411024.2Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Teodor T. Postolache
- 0000 0001 2175 4264grid.411024.2Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Alfredo Bellon
- 0000 0001 2097 4281grid.29857.31Hershey Medical Center, Department of Psychiatry, Penn State University School of Medicine, Hershey, PA 17033 USA
| | - Francis J. McMahon
- 0000 0004 0464 0574grid.416868.5Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892 USA
| | - Alan Shuldiner
- 0000 0001 2175 4264grid.411024.2Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - L. Elliot Hong
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| |
Collapse
|
5
|
Allen JD, Bishop JR. A systematic review of genome-wide association studies of antipsychotic response. Pharmacogenomics 2019; 20:291-306. [PMID: 30883267 PMCID: PMC6563266 DOI: 10.2217/pgs-2018-0163] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 01/07/2019] [Indexed: 12/18/2022] Open
Abstract
Clinical symptom response to antipsychotic medications is highly variable. Genome-wide association studies (GWAS) provide a 'hypothesis-free' method of interrogating the genome for biomarkers of antipsychotic response. We performed a systematic review of GWAS findings for antipsychotic efficacy or effectiveness. 14 studies met our inclusion criteria, ten of which examined antipsychotic response using quantitative rating scales to measure symptom improvement. 15 genome-wide significant loci were identified, seven of which were replicated in other antipsychotic GWAS publications: CNTNAP5, GRID2, GRM7, 8q24 (KCNK9), PCDH7, SLC1A1 and TNIK. Notably, four replicated loci are involved in glutamatergic pathways. Additional validation and evaluation of the biological significance of these markers is warranted. These markers should also be evaluated for clinical utility, especially in the context of other validated pharmacogenomic variants (e.g., CYP450 genes). These findings may generate new avenues for development of novel antipsychotic treatments.
Collapse
Affiliation(s)
- Josiah D Allen
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
- Medigenics Consulting LLC, Minneapolis, MN 55407, USA
| | - Jeffrey R Bishop
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| |
Collapse
|
6
|
Marinho V, Oliveira T, Bandeira J, Pinto GR, Gomes A, Lima V, Magalhães F, Rocha K, Ayres C, Carvalho V, Velasques B, Ribeiro P, Orsini M, Bastos VH, Gupta D, Teixeira S. Genetic influence alters the brain synchronism in perception and timing. J Biomed Sci 2018; 25:61. [PMID: 30086746 PMCID: PMC6080374 DOI: 10.1186/s12929-018-0463-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 07/31/2018] [Indexed: 12/19/2022] Open
Abstract
Background Studies at the molecular level aim to integrate genetic and neurobiological data to provide an increasingly detailed understanding of phenotypes related to the ability in time perception. Main Text This study suggests that the polymorphisms genetic SLC6A4 5-HTTLPR, 5HTR2A T102C, DRD2/ANKK1-Taq1A, SLC6A3 3’-UTR VNTR, COMT Val158Met, CLOCK genes and GABRB2 A/C as modification factor at neurochemical levels associated with several neurofunctional aspects, modifying the circadian rhythm and built-in cognitive functions in the timing. We conducted a literature review with 102 studies that met inclusion criteria to synthesize findings on genetic polymorphisms and their influence on the timing. Conclusion The findings suggest an association of genetic polymorphisms on behavioral aspects related in timing. However, order to confirm the paradigm of association in the timing as a function of the molecular level, still need to be addressed future research.
Collapse
Affiliation(s)
- Victor Marinho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil. .,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Thomaz Oliveira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Juliete Bandeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Giovanny R Pinto
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Anderson Gomes
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Valéria Lima
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Francisco Magalhães
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Kaline Rocha
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Carla Ayres
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Valécia Carvalho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marco Orsini
- Master's Program in Local Development Program, University Center Augusto Motta - UNISUAM, Rio de Janeiro, Brazil and Health Sciences Applied - Vassouras University, Rio de Janeiro, Brazil
| | - Victor Hugo Bastos
- Brain Mapping and Functionality Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Silmar Teixeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| |
Collapse
|
7
|
Marinho V, Oliveira T, Rocha K, Ribeiro J, Magalhães F, Bento T, Pinto GR, Velasques B, Ribeiro P, Di Giorgio L, Orsini M, Gupta DS, Bittencourt J, Bastos VH, Teixeira S. The dopaminergic system dynamic in the time perception: a review of the evidence. Int J Neurosci 2017; 128:262-282. [PMID: 28950734 DOI: 10.1080/00207454.2017.1385614] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Dopaminergic system plays a key role in perception, which is an important executive function of the brain. Modulation in dopaminergic system forms an important biochemical underpinning of neural mechanisms of time perception in a very wide range, from milliseconds to seconds to longer daily rhythms. Distinct types of temporal experience are poorly understood, and the relationship between processing of different intervals by the brain has received little attention. A comprehensive understanding of interval timing functions should be sought within a wider context of temporal processing, involving genetic aspects, pharmacological models, cognitive aspects, motor control and the neurological diseases with impaired dopaminergic system. Particularly, an unexplored question is whether the role of dopamine in interval timing can be integrated with the role of dopamine in non-interval timing temporal components. In this review, we explore a wider perspective of dopaminergic system, involving genetic polymorphisms, pharmacological models, executive functions and neurological diseases on the time perception. We conclude that the dopaminergic system has great participation in impact on time perception and neurobiological basis of the executive functions and neurological diseases.
Collapse
Affiliation(s)
- Victor Marinho
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Thomaz Oliveira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Kaline Rocha
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Jéssica Ribeiro
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Francisco Magalhães
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Thalys Bento
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Giovanny R Pinto
- b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Bruna Velasques
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Pedro Ribeiro
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Luiza Di Giorgio
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Marco Orsini
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil.,d Rehabilitation Science Program, Analysis of Human Movement Laboratory, Augusto Motta University Center (UNISUAM) , Rio de Janeiro , Brazil
| | - Daya S Gupta
- e Department of Biology , Camden County College , Blackwood , NJ , USA
| | - Juliana Bittencourt
- f Biomedical Engineering Program (COPPE), Federal University of Rio de Janeiro (UFRJ) , Rio de Janeiro , Brazil
| | - Victor Hugo Bastos
- g Brain Mapping and Functionality Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Silmar Teixeira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| |
Collapse
|
8
|
Lee BD, Gonzalez S, Villa E, Camarillo C, Rodriguez M, Yao Y, Guo W, Flores D, Jerez A, Raventos H, Ontiveros A, Nicolini H, Escamilla M. A genome-wide quantitative trait locus (QTL) linkage scan of NEO personality factors in Latino families segregating bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2017; 174:683-690. [PMID: 28556497 PMCID: PMC5597458 DOI: 10.1002/ajmg.b.32551] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 03/20/2017] [Accepted: 04/25/2017] [Indexed: 12/24/2022]
Abstract
Personality traits have been suggested as potential endophenotypes for Bipolar Disorder (BP), as they can be quantitatively measured and show correlations with BP. The present study utilized data from 2,745 individuals from 686 extended pedigrees originally ascertained for having multiplex cases of BP (963 cases of BPI or schizoaffective BP). Subjects were assessed with the NEO Personality Inventory, Revised (NEO PI-R) and genotyped using the Illumina HumanLinkage-24 Bead Chip, with an average genetic coverage of 0.67 cM. Two point linkage scores were calculated for each trait as a quantitative variable using SOLAR (Sequential Oligogenic Linkage Analysis Routines). Suggestive evidence for linkage was found for neuroticism at 1q32.1 (LOD = 2.52), 6q23.3 (2.32), 16p12 (2.79), extraversion at 4p15.3 (2.33), agreeableness at 4q31.1 (2.37), 5q34 (2.80), 7q31.1 (2.56), 16q22 (2.52), and conscientiousness at 4q31.1 (2.50). Each of the above traits have been shown to be correlated with the broad BP phenotype in this same sample. In addition, for the trait of openness, we found significant evidence of linkage to chromosome 3p24.3 (rs336610, LOD = 4.75) and suggestive evidence at 1q43 (2.74), 5q35.1 (3.03), 11q14.3 (2.61), 11q21 (2.30), and 19q13.1 (2.52). These findings support previous linkage findings of the openness trait to chromosome 19q13 and the agreeableness trait to 4q31 and identify a number of new loci for personality endophenotypes related to bipolar disorder.
Collapse
Affiliation(s)
- Byung Dae Lee
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas,Department of Psychiatry, School of Medicine, Pusan National University, Busan, South Korea
| | - Suzanne Gonzalez
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Erika Villa
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Cynthia Camarillo
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Marco Rodriguez
- Center of Excellence for Neurosciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Yin Yao
- Unit on Statistical Genomics, National Institute of Mental Health, Bethesda, Maryland
| | - Wei Guo
- Unit on Statistical Genomics, National Institute of Mental Health, Bethesda, Maryland
| | - Deborah Flores
- Los Angeles Biomedical Research Center at Harbor, University of California Los Angeles Medical Center, Torrance, California
| | - Alvaro Jerez
- Centro Internacional de Trastornos Afectivos y de la Conducta Adictiva, Guatemala, Guatemala
| | - Henriette Raventos
- Centro de Investigacion en Biologia Celular y Molecular y Escuela de Biologia, Universidad de Costa Rica, San Jose, Costa Rica
| | - Alfonso Ontiveros
- Instituto de Informacion e InvestigaciónenSalud Mental AC, Monterrey, Nuevo Leon, Mexico
| | - Humberto Nicolini
- Grupo de Estudios Medicos y Familiares Carracci, S.C., Mexico, D.F., Mexico,Instituto Nacional de Medicina Genomica, Mexico, D.F., Mexico
| | - Michael Escamilla
- 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,Correspondence to: Michael Escamilla, MD, Department of Psychiatry Paul L. Foster School of Medicine Texas Tech University Health Science Center 4800 Alberta El Paso, TX 79905, USA,
| |
Collapse
|
9
|
Abstract
UNLABELLED Introduction The influence of personality traits on suicidal behaviour risk has been well documented. Personality traits and suicidal behaviour are partially genetically determined and personality has been described as an endophenotype of suicidal behaviour. The aim of this study was to investigate a possible association between personality traits with suicidal behaviour and selected serotonergic gene polymorphisms. METHODS In the study we included 156 patients meeting DSM-IV criteria for bipolar disorder (BP) and 93 healthy controls. The personality dimensions were assessed using the Temperament and Character Inventory (TCI). We genotyped two selected polymorphisms of the tryptophan hydroxylase 1 (TPH1) gene (rs1800532 218A>C and rs1799913 779A>C) and polymorphism in the promoter region of serotonin transporter gene (5-HTTLPR, rs25531) related to serotoninergic neurotransmission. Multiple poisson regression, logistic regression and Kruskal-Wallis tests were applied. RESULTS We found numerous differences between the BP patients and the control group in terms of their TCI dimensions/subdimensions. Significant differences were found between patients with, and without, suicidal attempts in fatigability and asthenia (Ha4), as well as in harm avoidance (Ha). We also found that the interactions between TCI subdimensions (the interaction of disordiness (Ns4) and spiritual acceptance (St3), disordiness (Ns4) and integrated conscience (C5), extravagance (Ns3) and resourcefulness (Sd3)) were significantly contributing for suicidal behaviour risk. We found association between all studied genetic polymorphisms and several TCI dimensions and subdimensions. CONCLUSION Our results confirm that personality traits are partially determined by genes. Both personality traits and the interactions between temperament and character traits, may be helpful in predicting suicidal behaviour.
Collapse
|
10
|
Qiu F, Akiskal HS, Kelsoe JR, Greenwood TA. Factor analysis of temperament and personality traits in bipolar patients: Correlates with comorbidity and disorder severity. J Affect Disord 2017; 207:282-290. [PMID: 27741464 PMCID: PMC5107122 DOI: 10.1016/j.jad.2016.08.031] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 07/07/2016] [Accepted: 08/24/2016] [Indexed: 12/16/2022]
Abstract
BACKGROUND Temperament and personality traits have been suggested as endophenotypes for bipolar disorder based on several lines of evidence, including heritability. Previous work suggested an anxious-reactive factor identified across temperament and personality inventories that produced significant group discrimination and could potentially be useful in genetic analyses. We have attempted to further characterize this factor structure in a sample of bipolar patients. METHODS A sample of 1195 subjects with bipolar I disorder was evaluated, all with complete data available. Dimension reduction across two inventories identified 18 factors explaining 39% of the variance. RESULTS The two largest factors reflected affective instability and general anxiety/worry, respectively. Subsequent analyses of the clinical features associated with bipolar disorder revealed specificity for the factors in a predictable pattern. Cluster analysis of the factors identified a subgroup defined by a strong lack of general anxiety and low affective instability represented by the first two factors. The remaining subjects could be distinguished into two clusters by the presence of either more positive characteristics, including persistence/drive, spirituality, expressivity, and humor, or more negative characteristics of depression and anxiety. LIMITATIONS These analyses involved bipolar I subjects only and must be extended to other bipolar spectrum diagnoses, unaffected relatives, and individuals at risk. CONCLUSIONS These results suggest that temperament and personality measures access latent traits associated with important clinical features of bipolar disorder. By translating clinical variables into quantitative traits, we may identify subgroups of bipolar patients with distinct clinical profiles, thereby facilitating both individual treatment strategies and genetic analyses.
Collapse
Affiliation(s)
- Frank Qiu
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | | | - Hagop S. Akiskal
- Department of Psychiatry, University of California San Diego, La Jolla, CA,San Diego Veterans Affairs Healthcare System, San Diego, CA,International Mood Center, La Jolla, CA
| | - John R. Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, CA,San Diego Veterans Affairs Healthcare System, San Diego, CA,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
| | - Tiffany A. Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA,Address correspondence to: Tiffany A. Greenwood, Ph.D. Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, MC 0689, La Jolla, CA 92093, Phone: 858-246-1897,
| |
Collapse
|
11
|
Joyce E, Tai S, Gebbia P, Mansell W. What are People's Experiences of a Novel Cognitive Behavioural Therapy for Bipolar Disorders? A Qualitative Investigation with Participants on the TEAMS Trial. Clin Psychol Psychother 2016; 24:712-726. [PMID: 27654637 DOI: 10.1002/cpp.2040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Revised: 08/12/2016] [Accepted: 08/18/2016] [Indexed: 01/04/2023]
Affiliation(s)
- Emmeline Joyce
- Greater Manchester West Mental Health NHS Foundation Trust; Manchester United Kingdom
- The University of Manchester; Manchester United Kingdom
| | - Sara Tai
- The University of Manchester; Manchester United Kingdom
| | | | | |
Collapse
|
12
|
Wingo T, Nesil T, Choi JS, Li MD. Novelty Seeking and Drug Addiction in Humans and Animals: From Behavior to Molecules. J Neuroimmune Pharmacol 2016; 11:456-70. [PMID: 26481371 PMCID: PMC4837094 DOI: 10.1007/s11481-015-9636-7] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2015] [Accepted: 10/13/2015] [Indexed: 12/21/2022]
Abstract
Global treatment of drug addiction costs society billions of dollars annually, but current psychopharmacological therapies have not been successful at desired rates. The increasing number of individuals suffering from substance abuse has turned attention to what makes some people more vulnerable to drug addiction than others. One personality trait that stands out as a contributing factor is novelty seeking. Novelty seeking, affected by both genetic and environmental factors, is defined as the tendency to desire novel stimuli and environments. It can be measured in humans through questionnaires and in rodents using behavioral tasks. On the behavioral level, both human and rodent studies demonstrate that high novelty seeking can predict the initiation of drug use and a transition to compulsive drug use and create a propensity to relapse. These predictions are valid for several drugs of abuse, such as alcohol, nicotine, cocaine, amphetamine, and opiates. On the molecular level, both novelty seeking and addiction are modulated by the central reward system in the brain. Dopamine is the primary neurotransmitter involved in the overlapping neural substrates of both parameters. In sum, the novelty-seeking trait can be valuable for predicting individual vulnerability to drug addiction and for generating successful treatment for patients with substance abuse disorders.
Collapse
Affiliation(s)
- Taylor Wingo
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, 450 Ray C Hunt Drive, Suite G-170, Charlottesville, VA, 22903, USA
| | - Tanseli Nesil
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, 450 Ray C Hunt Drive, Suite G-170, Charlottesville, VA, 22903, USA
| | - Jung-Seok Choi
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, 450 Ray C Hunt Drive, Suite G-170, Charlottesville, VA, 22903, USA
- Department of Psychiatry, SMG-SNU Boramae Medical Center and Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ming D Li
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, 450 Ray C Hunt Drive, Suite G-170, Charlottesville, VA, 22903, USA.
| |
Collapse
|
13
|
Chavez SB, Alvarado LA, Gonzalez R. Relationship Between Temperament and Character Traits, Mood, and Medications in Bipolar I Disorder. Prim Care Companion CNS Disord 2016; 18:15br01908. [PMID: 27733949 DOI: 10.4088/pcc.15br01908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 02/15/2016] [Indexed: 10/21/2022] Open
Abstract
INTRODUCTION Bipolar I disorder is an illness causing mood shifts that can result in personality and character trait alterations. The relationship between mood and personality and character traits in bipolar I disorder is unclear at this time. METHODS We conducted a study from February 2009 to March 2010 that included 42 subjects with bipolar I disorder, which was confirmed using the Structured Clinical Interview for DSM-IV Axis I Disorders. Mood was assessed via the Young Mania Rating Scale (YMRS) and the 30-item Clinician-rated Inventory of Depressive Symptomatology (IDS-C). Temperament and character traits were assessed via the Temperament and Character Inventory (TCI). Multivariate analysis was used to test relationships between mood and temperament and character traits with the effects of possible cofactors taken into account (eg, age, gender, medications). RESULTS We noted a positive correlation between YMRS scores and persistence (P = .046) and a trend toward positive correlation with novelty seeking (P = .054). There was a positive correlation between higher IDS-C scores and harm avoidance (P < .001) and a negative correlation with self-directedness scores (P < .001). Antipsychotic use was positively correlated with the character trait self-directedness (P = .008), with a trend toward a positive correlation with reward dependence (P = .056). Lithium was negatively correlated with reward dependence (P = .047) and self-transcendence (P = .028), with a trend toward a negative correlation with novelty seeking (P = .053). CONCLUSIONS The findings of our study suggest that some personality and character traits may vary according to mood state and medications in patients with bipolar I disorder. Prospective and longitudinal studies are required to fully characterize the relationships between personality and character traits and mood state in bipolar I disorder.
Collapse
Affiliation(s)
- Sergio B Chavez
- Department of Health Services, Arizona State Hospital, Phoenix
| | | | - Robert Gonzalez
- Department of Psychiatry and Center for Excellence in Neuroscience , Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso
| |
Collapse
|
14
|
Giakoumaki SG, Karagiannopoulou L, Rózsa S, Zouraraki C, Karamaouna P, Cloninger CR. Psychometric properties of the Greek TCI-R and its clinical correlates: schizotypy and the self-regulation of affective and cognitive functioning. PeerJ 2016; 4:e1830. [PMID: 27019787 PMCID: PMC4806636 DOI: 10.7717/peerj.1830] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 02/29/2016] [Indexed: 11/20/2022] Open
Abstract
Background. The revised Temperament and Character Inventory (TCI-R) measures Cloninger’s psychobiological model of personality. The average effects of individual temperament and character traits have been associated with schizotypy and with impaired regulation of affect and cognition. We extended prior research by testing predictions about the association of specific multidimensional configurations of temperament and character traits on schizotypy, affect balance, and self-perceived cognitive functioning. Method. A well-educated sample of native Greeks (N = 483), completed a new Greek translation of the TCI-R, as well as the Schizotypal Personality Questionnaire (SPQ), the Positive/Negative Affect Schedule (PANAS) and the Cognitive Failures Questionnaire (CFQ). The factor structure of the TCI-R was examined with exploratory and confirmatory tests. Associations between reported measures were examined with correlational and regression analyses. Results. The TCI-R had good psychometric properties as expected from studies in other countries. As predicted, specific configurations of temperament and character were associated with schizotypy, negative affect balance, and cognitive lapses. The “Borderline/Explosive temperament” (high Novelty Seeking, high Harm Avoidance, low Reward Dependence), “Schizotypal/Disorganized character” (low Self-directedness, low Cooperativeness, high Self-transcendence), and “Low Ego Strength/Fragile” profile (high Harm Avoidance, low Persistence, low Self-Directedness) were each strongly associated with higher stereotypy, negative affect balance (low positive affect and high negative affect), and subjective cognitive lapses compared to their contrast groups. Discussion. Multidimensional TCI profiles are strongly related to individual differences in schizotypy and self-reported regulation of affect and cognition. The Greek translation of the TCI-R is psychometrically sound and useful for clinical assessment and research.
Collapse
Affiliation(s)
| | | | - Sándor Rózsa
- Department of Psychiatry, Washington University School of Medicine , St. Louis, Missouri , USA
| | | | - Penny Karamaouna
- Department of Psychology, University of Crete , Rethymno , Greece
| | - C Robert Cloninger
- Department of Psychiatry, Washington University School of Medicine , St. Louis, Missouri , USA
| |
Collapse
|
15
|
Hess JL, Kawaguchi DM, Wagner KE, Faraone SV, Glatt SJ. The influence of genes on "positive valence systems" constructs: A systematic review. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:92-110. [PMID: 26365619 DOI: 10.1002/ajmg.b.32382] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 08/31/2015] [Indexed: 11/08/2022]
Abstract
In 2009, the U.S. National Institute of Mental Health (NIMH) proposed an approach toward the deconstruction of psychiatric nosology under the research domain criteria (RDoC) framework. The overarching goal of RDoC is to identify robust, objective measures of behavior, emotion, cognition, and other domains that are more closely related to neurobiology than are diagnoses. A preliminary framework has been constructed, which has connected molecules, genes, brain circuits, behaviors, and other elements to dimensional psychiatric constructs. Although the RDoC framework has salience in emerging studies, foundational literature that pre-dated this framework requires synthesis and translation to the evolving objectives and nomenclature of RDoC. Toward this end, we review the candidate-gene association, linkage, and genome-wide studies that have implicated a variety of loci and genetic polymorphisms in selected Positive Valence Systems (PVS) constructs. Our goal is to review supporting evidence to currently listed genes implicated in this domain and novel candidates. We systematically searched and reviewed literature based on keywords listed under the June, 2011, edition of the PVS matrix on the RDoC website (http://www.nimh.nih.gov/research-priorities/rdoc/positive-valence-systems-workshop-proceedings.shtml), which were supplemented with de novo keywords pertinent to the scope of our review. Several candidate genes linked to the PVS framework were identified from candidate-gene association studies. We also identified novel candidates with loose association to PVS traits from genome-wide studies. There is strong evidence suggesting that PVS constructs, as currently conceptualized under the RDoC initiative, index genetically influenced traits; however, future research, including genetic epidemiological, and psychometric analyses, must be performed.
Collapse
Affiliation(s)
- Jonathan L Hess
- Departmentof Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Daniel M Kawaguchi
- Departmentof Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Kayla E Wagner
- Departmentof Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Psychology, Syracuse University, Syracuse, New York
| | - Stephen V Faraone
- Departmentof Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Stephen J Glatt
- Departmentof Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| |
Collapse
|
16
|
Greenwood TA, Lazzeroni LC, Calkins ME, Freedman R, Green MF, Gur RE, Gur RC, Light GA, Nuechterlein KH, Olincy A, Radant AD, Seidman LJ, Siever LJ, Silverman JM, Stone WS, Sugar CA, Swerdlow NR, Tsuang DW, Tsuang MT, Turetsky BI, Braff DL. Genetic assessment of additional endophenotypes from the Consortium on the Genetics of Schizophrenia Family Study. Schizophr Res 2016; 170:30-40. [PMID: 26597662 PMCID: PMC4707095 DOI: 10.1016/j.schres.2015.11.008] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 11/06/2015] [Accepted: 11/10/2015] [Indexed: 01/15/2023]
Abstract
The Consortium on the Genetics of Schizophrenia Family Study (COGS-1) has previously reported our efforts to characterize the genetic architecture of 12 primary endophenotypes for schizophrenia. We now report the characterization of 13 additional measures derived from the same endophenotype test paradigms in the COGS-1 families. Nine of the measures were found to discriminate between schizophrenia patients and controls, were significantly heritable (31 to 62%), and were sufficiently independent of previously assessed endophenotypes, demonstrating utility as additional endophenotypes. Genotyping via a custom array of 1536 SNPs from 94 candidate genes identified associations for CTNNA2, ERBB4, GRID1, GRID2, GRIK3, GRIK4, GRIN2B, NOS1AP, NRG1, and RELN across multiple endophenotypes. An experiment-wide p value of 0.003 suggested that the associations across all SNPs and endophenotypes collectively exceeded chance. Linkage analyses performed using a genome-wide SNP array further identified significant or suggestive linkage for six of the candidate endophenotypes, with several genes of interest located beneath the linkage peaks (e.g., CSMD1, DISC1, DLGAP2, GRIK2, GRIN3A, and SLC6A3). While the partial convergence of the association and linkage likely reflects differences in density of gene coverage provided by the distinct genotyping platforms, it is also likely an indication of the differential contribution of rare and common variants for some genes and methodological differences in detection ability. Still, many of the genes implicated by COGS through endophenotypes have been identified by independent studies of common, rare, and de novo variation in schizophrenia, all converging on a functional genetic network related to glutamatergic neurotransmission that warrants further investigation.
Collapse
Affiliation(s)
- Tiffany A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.
| | - Laura C Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO, United States
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States; VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Gregory A Light
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States; VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, United States
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Ann Olincy
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO, United States
| | - Allen D Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States; VA Puget Sound Health Care System, Seattle, WA, United States
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States; Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Larry J Siever
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, NY, United States; James J. Peters VA Medical Center, New York, NY, United States
| | - Jeremy M Silverman
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, NY, United States; James J. Peters VA Medical Center, New York, NY, United States
| | - William S Stone
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States; Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Catherine A Sugar
- Department of Biostatistics, University of California Los Angeles School of Public Health, Los Angeles, CA, United States
| | - Neal R Swerdlow
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Debby W Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States; VA Puget Sound Health Care System, Seattle, WA, United States
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States; Center for Behavioral Genomics, Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, United States; Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA, United States
| | - Bruce I Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - David L Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States; VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, United States
| |
Collapse
|
17
|
Naderer A, Keller F, Plener P, Unseld M, Lesch OM, Walter H, Erfurth A, Kapusta ND. The brief TEMPS-M temperament questionnaire: A psychometric evaluation in an Austrian sample. J Affect Disord 2015; 188:43-6. [PMID: 26342887 DOI: 10.1016/j.jad.2015.08.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Revised: 07/20/2015] [Accepted: 08/04/2015] [Indexed: 01/14/2023]
Affiliation(s)
- A Naderer
- Medical University of Vienna, Department of Psychoanalysis and Psychotherapy, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - F Keller
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, Steinhövelstraße 5, 89075 Ulm, Germany
| | - P Plener
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, Steinhövelstraße 5, 89075 Ulm, Germany
| | - M Unseld
- Medical University of Vienna, Department of Internal Medicine I, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - O M Lesch
- Medical University of Vienna, Department of Psychiatry and Psychotherapy, Clinical Division for Social Psychiatry, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - H Walter
- Medical University of Vienna, Department of Psychiatry and Psychotherapy, Clinical Division for Social Psychiatry, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - A Erfurth
- Social Medical Center Baumgartner Höhe, Otto-Wagner Hospital, 6th Psychiatric Ward, Baumgartner Höhe 1, 1140 Vienna, Austria
| | - N D Kapusta
- Medical University of Vienna, Department of Psychoanalysis and Psychotherapy, Waehringer Guertel 18-20, 1090 Vienna, Austria.
| |
Collapse
|
18
|
Tavares NDO, Neves FDS, Malloy-Diniz LF. Model endophenotype for bipolar disorder: Qualitative Analysis, etiological factors, and research areas. Rev Esc Enferm USP 2015; 48 Spec No. 2:204-12. [PMID: 25830757 DOI: 10.1590/s0080-623420140000800030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 07/16/2014] [Indexed: 11/21/2022] Open
Abstract
The aim of this study is to present an updated view of the writings on the endophenotype model for bipolar disorder using analytical methodologies. A review and analysis of networks was performed through descriptors and keywords that characterize the composition of the endophenotype model as a model of health. Information was collected from between 1992 and 2014, and the main thematic areas covered in the articles were identified. We discuss the results and question their cohesion, emphasizing the need to strengthen and identify the points of connection between etiological factors and characteristics that make up the model of endophenotypes for bipolar disorder.
Collapse
Affiliation(s)
| | - Fernando da Silva Neves
- Mental Health Department and Psychiatry, Federal University of Minas Gerais, Minas Gerais, Brazil
| | | |
Collapse
|
19
|
Childhood trauma, temperament, and character in subjects with major depressive disorder and bipolar disorder. J Nerv Ment Dis 2014; 202:695-8. [PMID: 25167131 DOI: 10.1097/nmd.0000000000000186] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In nonclinical samples, childhood trauma (CT) has been found to negatively affect temperament/character traits. In major depressive disorder (MDD) and bipolar disorder (BD), abnormal personality traits have been found to impair clinical course/treatment outcome. Although a link between CT and MDD/BD is firmly established, no previous studies explored the relationship between CT and temperament/character in these populations. We investigated this issue in a preliminary sample of inpatients with MDD (n = 29) or BD (n = 50). We assessed CT (sexual/physical/emotional abuse, physical/emotional neglect) (Childhood Trauma Questionnaire), personality traits (Temperament and Character Inventory-Revised version), and illness severity (Brief Psychiatric Rating Scale). We found significant (p < 0.01) associations between emotional neglect, emotional abuse, physical neglect, and low self-directedness (SD). Potential underlying mechanisms are discussed. Because low SD has been previously associated with illness severity and poor outcome, the relationship between CT and low SD might partly explain the well-known negative impact of CT on course and outcome of MDD/BD.
Collapse
|