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Devine DP. The neuropathology of Self-Injurious Behavior: Studies using animal models. Brain Res 2024; 1844:149172. [PMID: 39163896 DOI: 10.1016/j.brainres.2024.149172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 07/27/2024] [Accepted: 08/17/2024] [Indexed: 08/22/2024]
Abstract
Self-injurious behavior is a debilitating characteristic that is highly prevalent in autism and other neurodevelopmental disorders. In these populations, self-injury has typically been interpreted in relation to behavioral reinforcement and/or sensory stimulation. However, self-injury is also commonly exhibited by people with a variety of neuropsychiatric disorders, where it is typically described in relation to emotional regulation and the presence or absence of suicidal ideation. Interestingly, self-injury has also been documented in many non-human animal species, especially when exposed to early environmental deprivation, isolation, and distress. Despite the propensity of animals to self-injure under adverse conditions, animal models of self-injury have not been the focus of much research, and translation of the data from these models has largely been limited to autism and neurodevelopmental disorders. This review summarizes evidence that common biological and environmental mechanisms may contribute to vulnerability for self-injury in neurodevelopmental disorders, psychiatric disorders, and distressed animals, and that investigations using animal models may be highly beneficial when considering self-injury as a behavioral phenotype that exists across diagnostic categories. Investigations using animal models have revealed that individual differences in stress responses and anxiety-related behavior contribute to vulnerability for self-injury. Animal models have implicated dysregulation of monoaminergic, glutamatergic, and other neurotransmitter systems in expression of self-injury, and these models have suggested neural targets for pharmacotherapy that have potential relevance for diverse clinical populations.
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Affiliation(s)
- Darragh P Devine
- University of Florida, Department of Psychology, Behavioral and Cognitive Neuroscience Program, Gainesville, FL 32611-2250, USA.
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2
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Azcona-Granada N, Willemsen G, Boomsma DI, Sauce B. Overlapping genetic influences between creativity and borderline personality symptoms in a large Dutch sample. Sci Rep 2024; 14:17589. [PMID: 39080443 PMCID: PMC11289366 DOI: 10.1038/s41598-024-68146-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/19/2024] [Indexed: 08/02/2024] Open
Abstract
Creativity and mental disorders are sometimes seen as intertwined, but research is still unclear on whether, how much, and why. Here we explore the potential role of shared genetic factors behind creativity and symptoms of borderline personality disorder (BPD, characterized by mood swings and randomness of thoughts). Data were collected from 6745 twins (2378 complete pairs) by the Netherlands Twin Register on BPD scores (PAI-BOR questionnaire) and working in a creative profession (proxy for creativity). First, we tested whether there is an association between BPD symptoms and creative professions. Results confirmed that individuals scoring higher on the BPD spectrum are more likely to have a creative profession (Cohen's d = 0.16). Next, we modeled how much of this association reflects underlying genetic and/or environmental correlations-by using a bivariate classical twin design. We found that creativity and BPD were each influenced by genetic factors (heritability = 0.45 for BPD and 0.67 for creativity) and that these traits are genetically correlated rG = 0.17. Environmental influences were not correlated. This is evidence for a common genetic mechanism between borderline personality scores and creativity which may reflect causal effects and shed light on mechanisms.
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Affiliation(s)
- Natalia Azcona-Granada
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van Der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Amsterdam, The Netherlands.
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van Der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Faculty of Health, Sports and Wellbeing, Inholland University of Applied Sciences, Haarlem, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van Der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Bruno Sauce
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van Der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
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3
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Babajide O, Kjaergaard AD, Deng W, Kuś A, Sterenborg RBTM, Åsvold BO, Burgess S, Teumer A, Medici M, Ellervik C, Nick B, Deloukas P, Marouli E. The role of thyroid function in borderline personality disorder and schizophrenia: a Mendelian Randomisation study. Borderline Personal Disord Emot Dysregul 2024; 11:2. [PMID: 38355654 PMCID: PMC10868101 DOI: 10.1186/s40479-024-00246-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/20/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Genome-wide association studies have reported a genetic overlap between borderline personality disorder (BPD) and schizophrenia (SCZ). Epidemiologically, the direction and causality of the association between thyroid function and risk of BPD and SCZ are unclear. We aim to test whether genetically predicted variations in TSH and FT4 levels or hypothyroidism are associated with the risk of BPD and SCZ. METHODS We employed Mendelian Randomisation (MR) analyses using genetic instruments associated with TSH and FT4 levels as well as hypothyroidism to examine the effects of genetically predicted thyroid function on BPD and SCZ risk. Bidirectional MR analyses were employed to investigate a potential reverse causal association. RESULTS Genetically predicted higher FT4 was not associated with the risk of BPD (OR: 1.18; P = 0.60, IVW) or the risk of SCZ (OR: 0.93; P = 0.19, IVW). Genetically predicted higher TSH was not associated with the risk of BPD (OR: 1.11; P = 0.51, IVW) or SCZ (OR: 0.98, P = 0.55, IVW). Genetically predicted hypothyroidism was not associated with BPD or SCZ. We found no evidence for a reverse causal effect between BPD or SCZ on thyroid function. CONCLUSIONS We report evidence for a null association between genetically predicted FT4, TSH or hypothyroidism with BPD or SCZ risk. There was no evidence for reverse causality.
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Affiliation(s)
- Oladapo Babajide
- Queen Mary University of London, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK
| | - Alisa D Kjaergaard
- Aarhus University Hospital, Steno Diabetes Center, Hedeager Aarhus, Denmark
| | - Weichen Deng
- Queen Mary University of London, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK
| | - Aleksander Kuś
- Department of Internal Medicine and Endocrinology, Medical University of Warsaw, Warsaw, Poland
| | - Rosalie B T M Sterenborg
- Erasmus Medical Center, Academic Center for Thyroid Diseases, Department of Internal Medicine, Rotterdam, Netherlands
- Erasmus Medical Center, Department of Epidemiology, Rotterdam, Netherlands
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Bjørn Olav Åsvold
- Department of Public Health and Nursing, Department of Endocrinology, Clinic of Medicine, NTNU, Norwegian University of Science and Technology &, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Stephen Burgess
- University of Cambridge, MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alexander Teumer
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK German Center for Cardiovascular Research, Berlin, Germany
| | - Marco Medici
- Erasmus Medical Center, Academic Center for Thyroid Diseases, Department of Internal Medicine, Rotterdam, Netherlands
| | - Christina Ellervik
- Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Bass Nick
- Division of Psychiatry, University College London, Mental Health Neuroscience, London, UK
| | - Panos Deloukas
- Queen Mary University of London, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK
| | - Eirini Marouli
- Queen Mary University of London, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK.
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4
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Francis B, Ganasan VA, Sulaiman ARB. Brexpiprazole Attenuates Aggression, Suicidality and Substance Use in Borderline Personality Disorder: A Case Series. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:283. [PMID: 38399570 PMCID: PMC10890360 DOI: 10.3390/medicina60020283] [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: 12/06/2023] [Revised: 01/30/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024]
Abstract
Background: Borderline personality disorder (BPD) is a heterogeneous and highly comorbid disorder. Suicidality, aggression and substance abuse are common presentations of BPD. Our case series is the first to highlight the role of brexpiprazole in improving these symptoms in patients with BPD. Case presentation: We describe three cases demonstrating the role of brexpiprazole in improving BPD's prominent features and comorbidities. All cases improved when brexpiprazole was added to their treatment regime. Case 1: A 26-year-old woman who was diagnosed with BPD and cyclothymia, presented to the psychiatric emergency unit with impulsive suicidal behaviour. Case 2: A 43-year-old woman suffering from BPD sought help due to her violent behaviour and emotional dysregulation. Case 3: A 22-year-old woman with underlying attention deficit and hyperactivity disorder, polysubstance use disorder and BPD presented with dysregulated emotions. Conclusions: Our case series provides anecdotal evidence of the potential role of brexpiprazole in attenuating suicidality, aggression and substance abuse in patients with BPD. We postulate that brexpiprazole's high affinity for the 5HT1A/5HT2A receptors, coupled with its low intrinsic effect on the D2/D3 receptor system, is fundamental in its actions to stabilise the aberrant dopaminergic and serotonergic signalling in BPD. Future research should focus on well-designed clinical trials investigating the efficacy of brexpiprazole in patients with BPD.
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Affiliation(s)
- Benedict Francis
- Department of Psychiatry, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Vijay A/L Ganasan
- Department of Psychiatry and Mental Health, Hospital Tuanku Ja’afar, Seremban 70300, Malaysia;
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5
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Leichsenring F, Fonagy P, Heim N, Kernberg OF, Leweke F, Luyten P, Salzer S, Spitzer C, Steinert C. Borderline personality disorder: a comprehensive review of diagnosis and clinical presentation, etiology, treatment, and current controversies. World Psychiatry 2024; 23:4-25. [PMID: 38214629 PMCID: PMC10786009 DOI: 10.1002/wps.21156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
Abstract
Borderline personality disorder (BPD) was introduced in the DSM-III in 1980. From the DSM-III to the DSM-5, no major changes have occurred in its defining criteria. The disorder is characterized by instability of self-image, interpersonal relationships and affects. Further symptoms include impulsivity, intense anger, feelings of emptiness, strong abandonment fears, suicidal or self-mutilation behavior, and transient stress-related paranoid ideation or severe dissociative symptoms. There is evidence that BPD can be reliably diagnosed and differentiated from other mental disorders by semi-structured interviews. The disorder is associated with considerable functional impairment, intensive treatment utilization, and high societal costs. The risk of self-mutilation and suicide is high. In the general adult population, the lifetime prevalence of BPD has been reported to be from 0.7 to 2.7%, while its prevalence is about 12% in outpatient and 22% in inpatient psychiatric services. BPD is significantly associated with other mental disorders, including depressive disorders, substance use disorders, post-traumatic stress disorder, attention-deficit/hyperactivity disorder, bipolar disorder, bulimia nervosa, and other personality disorders. There is convincing evidence to suggest that the interaction between genetic factors and adverse childhood experiences plays a central role in the etiology of BPD. In spite of considerable research, the neurobiological underpinnings of the disorder remain to be clarified. Psychotherapy is the treatment of choice for BPD. Various approaches have been empirically supported in randomized controlled trials, including dialectical behavior therapy, mentalization-based therapy, transference-focused therapy, and schema therapy. No approach has proved to be superior to others. Compared to treatment as usual, psychotherapy has proved to be more efficacious, with effect sizes between 0.50 and 0.65 with regard to core BPD symptom severity. However, almost half of the patients do not respond sufficiently to psychotherapy, and further research in this area is warranted. It is not clear whether some patients may benefit more from one psychotherapeutic approach than from others. No evidence is available consistently showing that any psychoactive medication is efficacious for the core features of BPD. For discrete and severe comorbid anxiety or depressive symptoms or psychotic-like features, pharmacotherapy may be useful. Early diagnosis and treatment of BPD can reduce individual suffering and societal costs. However, more high-quality studies are required, in both adolescents and adults. This review provides a comprehensive update of the BPD diagnosis and clinical characterization, risk factors, neurobiology, cognition, and management. It also discusses the current controversies concerning the disorder, and highlights the areas in which further research is needed.
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Affiliation(s)
- Falk Leichsenring
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
- Department of Psychosomatics and Psychotherapy, University of Rostock, Rostock, Germany
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Nikolas Heim
- International Psychoanalytic University, Berlin, Germany
| | - Otto F Kernberg
- Personality Disorders Institute, Weill Cornell Medical College, New York, NY, USA
| | - Frank Leweke
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
| | - Patrick Luyten
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium
| | - Simone Salzer
- International Psychoanalytic University, Berlin, Germany
| | - Carsten Spitzer
- Department of Psychosomatics and Psychotherapy, University of Rostock, Rostock, Germany
| | - Christiane Steinert
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
- International Psychoanalytic University, Berlin, Germany
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6
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Hübel C, Abdulkadir M, Herle M, Palmos AB, Loos RJF, Breen G, Micali N, Bulik CM. Persistent thinness and anorexia nervosa differ on a genomic level. Eur J Hum Genet 2024; 32:117-124. [PMID: 37474786 PMCID: PMC10772076 DOI: 10.1038/s41431-023-01431-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 06/15/2023] [Accepted: 07/04/2023] [Indexed: 07/22/2023] Open
Abstract
Thinness and anorexia nervosa are both characterised by persistent low weight. Individuals with anorexia nervosa concurrently report distorted perceptions of their body and engage in weight-loss behaviours, whereas individuals with thinness often wish to gain weight. Both conditions are heritable and share genomics with BMI, but are not genetically correlated with each other. Based on their pattern of genetic associations with other traits, we explored differences between thinness and anorexia nervosa on a genomic level. In Part 1, using publicly available data, we compared genetic correlations of persistent thinness/anorexia nervosa with eleven psychiatric disorders. In Part 2, we identified individuals with adolescent persistent thinness in the Avon Longitudinal Study of Parents and Children (ALSPAC) by latent class growth analysis of measured BMI from 10 to 24 years (n = 6594) and evaluated associations with psychiatric and anthropometric polygenic scores. In Part 1, in contrast to the positive genetic correlations of anorexia nervosa with various psychiatric disorders, persistent thinness showed negative genetic correlations with attention deficit hyperactivity disorder (rgAN = 0.08 vs. rgPT = -0.30), alcohol dependence (rgAN = 0.07 vs. rgPT = -0.44), major depressive disorder (rgAN = 0.27 vs. rgPT = -0.18) and post-traumatic stress disorder (rgAN = 0.26 vs. rgPT = -0.20). In Part 2, individuals with adolescent persistent thinness in the ALSPAC had lower borderline personality disorder polygenic scores (OR = 0.77; Q = 0.01). Overall, results suggest that genetic variants associated with thinness are negatively associated with psychiatric disorders and therefore thinness may be differentiable from anorexia nervosa on a genomic level.
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Affiliation(s)
- Christopher Hübel
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK.
- National Centre for Register-based Research, Aarhus Business and Social Sciences, Aarhus University, Aarhus, Denmark.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
- Department of Pediatric Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | - Mohamed Abdulkadir
- National Centre for Register-based Research, Aarhus Business and Social Sciences, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Moritz Herle
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Alish B Palmos
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Gerome Breen
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Nadia Micali
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Mental Health Services in the Capital Region of Denmark, Eating Disorders Research Unit, Psychiatric Centre Ballerup, Ballerup, Denmark
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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7
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Schulze A, Streit F, Zillich L, Awasthi S, Hall ASM, Jungkunz M, Kleindienst N, Frank J, Schwarze CE, Dahmen N, Schott BH, Nöthen M, Mobascher A, Rujescu D, Lieb K, Roepke S, Herpertz SC, Schmahl C, Bohus M, Ripke S, Rietschel M, Lis S, Witt S. Evidence for a shared genetic contribution to loneliness and borderline personality disorder. Transl Psychiatry 2023; 13:398. [PMID: 38105248 PMCID: PMC10725864 DOI: 10.1038/s41398-023-02705-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 11/30/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023] Open
Abstract
Loneliness, influenced by genetic and environmental factors such as childhood maltreatment, is one aspect of interpersonal dysfunction in Borderline Personality Disorder (BPD). Numerous studies link loneliness and BPD and twin studies indicate a genetic contribution to this association. The aim of our study was to investigate whether genetic predisposition for loneliness and BPD risk overlap and whether genetic risk for loneliness contributes to higher loneliness reported by BPD patients, using genome-wide genotype data. We assessed the genetic correlation of genome-wide association studies (GWAS) of loneliness and BPD using linkage disequilibrium score regression and tested whether a polygenic score for loneliness (loneliness-PGS) was associated with case-control status in two independent genotyped samples of BPD patients and healthy controls (HC; Witt2017-sample: 998 BPD, 1545 HC; KFO-sample: 187 BPD, 261 HC). In the KFO-sample, we examined associations of loneliness-PGS with reported loneliness, and whether the loneliness-PGS influenced the association between childhood maltreatment and loneliness. We found a genetic correlation between the GWAS of loneliness and BPD in the Witt2017-sample (rg = 0.23, p = 0.015), a positive association of loneliness-PGS with BPD case-control status (Witt2017-sample: NkR² = 2.3%, p = 2.7*10-12; KFO-sample: NkR² = 6.6%, p = 4.4*10-6), and a positive association between loneliness-PGS and loneliness across patient and control groups in the KFO-sample (β = 0.186, p = 0.002). The loneliness-PGS did not moderate the association between childhood maltreatment and loneliness in BPD. Our study is the first to use genome-wide genotype data to show that the genetic factors underlying variation in loneliness in the general population and the risk for BPD overlap. The loneliness-PGS was associated with reported loneliness. Further research is needed to investigate which genetic mechanisms and pathways are involved in this association and whether a genetic predisposition for loneliness contributes to BPD risk.
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Affiliation(s)
- Anna Schulze
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Swapnil Awasthi
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Alisha S M Hall
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark
| | - Martin Jungkunz
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg University, Medical Faculty Heidelberg, Department of Medical Oncology, Section Translational Medical Ethics, Heidelberg, Germany
| | - Nikolaus Kleindienst
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cornelia E Schwarze
- Department of Psychology, Developmental and Biological Psychology Unit, Heidelberg University, Heidelberg, Germany
| | - Norbert Dahmen
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Björn H Schott
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Markus Nöthen
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany
| | - Arian Mobascher
- Department of Psychiatry and Psychotherapy, St. Elisabeth Krankenhaus Lahnstein, Lahnstein, Germany
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Stefan Roepke
- Department of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sabine C Herpertz
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Martin Bohus
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Clinical Psychology, Ruhr University Bochum, Bochum, Germany
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefanie Lis
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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8
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Paris J. Complex Posttraumatic Stress Disorder and a Biopsychosocial Model of Borderline Personality Disorder. J Nerv Ment Dis 2023; 211:805-810. [PMID: 37890024 DOI: 10.1097/nmd.0000000000001722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
ABSTRACT This review offers a critique of recent attempts to reconceptualize some cases of borderline personality disorder (BPD) within the newer diagnosis of complex posttraumatic stress disorder (CPTSD). The CPTSD construct focuses on the role of childhood trauma in shaping relational problems in adulthood, difficulties that have been previously seen as features of a personality disorder. The CPTSD model fails to consider the role of heritable personality traits, as well as a broader range of psychosocial risk factors. This review proposes that a biopsychosocial model of BPD is more comprehensive, taking into account a wider range of risk factors, while viewing BPD as rooted in gene-environment interactions. In this model, heritable traits are amplified by an adverse psychosocial environment. One can acknowledge the role of trauma as a risk factor without assuming that it fully accounts for the development of personality pathology.
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Affiliation(s)
- Joel Paris
- SMBD-Jewish General Hospital, McGill University, Montreal, Quebec, Canada
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9
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Guo MG, Reynolds DL, Ang CE, Liu Y, Zhao Y, Donohue LKH, Siprashvili Z, Yang X, Yoo Y, Mondal S, Hong A, Kain J, Meservey L, Fabo T, Elfaki I, Kellman LN, Abell NS, Pershad Y, Bayat V, Etminani P, Holodniy M, Geschwind DH, Montgomery SB, Duncan LE, Urban AE, Altman RB, Wernig M, Khavari PA. Integrative analyses highlight functional regulatory variants associated with neuropsychiatric diseases. Nat Genet 2023; 55:1876-1891. [PMID: 37857935 PMCID: PMC10859123 DOI: 10.1038/s41588-023-01533-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/15/2023] [Indexed: 10/21/2023]
Abstract
Noncoding variants of presumed regulatory function contribute to the heritability of neuropsychiatric disease. A total of 2,221 noncoding variants connected to risk for ten neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder and schizophrenia, were studied in developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified differentially-active single-nucleotide variants (daSNVs) in specific neural cell types. Expression-gene mapping, network analyses and chromatin looping nominated candidate disease-relevant target genes modulated by these daSNVs. Follow-up integration of daSNV gene editing with clinical cohort analyses suggested that magnesium transport dysfunction may increase neuropsychiatric disease risk and indicated that common genetic pathomechanisms may mediate specific symptoms that are shared across multiple neuropsychiatric diseases.
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Affiliation(s)
- Margaret G Guo
- Stanford Program in Biomedical Informatics, Stanford University, Stanford, CA, USA
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - David L Reynolds
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - Cheen E Ang
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Yingfei Liu
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA, USA
- Institute of Neurobiology, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Yang Zhao
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - Laura K H Donohue
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Zurab Siprashvili
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - Xue Yang
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
- Stanford Program in Cancer Biology, Stanford University, Stanford, CA, USA
| | - Yongjin Yoo
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Smarajit Mondal
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - Audrey Hong
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
| | - Jessica Kain
- Department of Genetics, Stanford University, Stanford, CA, USA
| | | | - Tania Fabo
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Ibtihal Elfaki
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Laura N Kellman
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA
- Stanford Program in Cancer Biology, Stanford University, Stanford, CA, USA
| | - Nathan S Abell
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Yash Pershad
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | | | | | - Mark Holodniy
- Public Health Surveillance and Research, Department of Veterans Affairs, Washington, DC, USA
- Division of Infectious Disease & Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel H Geschwind
- Program in Neurobehavioral Genetics, Semel Institute, UCLA, Los Angeles, CA, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Laramie E Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Alexander E Urban
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Russ B Altman
- Stanford Program in Biomedical Informatics, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Marius Wernig
- Department of Pathology, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Paul A Khavari
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA.
- Stanford Program in Cancer Biology, Stanford University, Stanford, CA, USA.
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
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10
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de Witte LD, Munk Laursen T, Corcoran CM, Kahn RS, Birnbaum R, Munk-Olsen T, Bergink V. A Sex-Dependent Association Between Doxycycline Use and Development of Schizophrenia. Schizophr Bull 2023; 49:953-961. [PMID: 36869773 PMCID: PMC10318877 DOI: 10.1093/schbul/sbad008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
BACKGROUND Doxycycline and minocycline are brain-penetrant tetracycline antibiotics, which recently gained interest because of their immunomodulatory and neuroprotective properties. Observational studies have suggested that exposure to these drugs may decrease the risk to develop schizophrenia, but results are inconsistent. The aim of this study was to investigate the potential association between doxycycline use and later onset of schizophrenia. DESIGN We used data from 1 647 298 individuals born between 1980 and 2006 available through Danish population registers. 79 078 of those individuals were exposed to doxycycline, defined as redemption of at least 1 prescription. Survival analysis models stratified for sex with time-varying covariates were constructed to assess incidence rate ratios (IRRs) for schizophrenia (ICD-10 code F20.xx), with adjustment for age, calendar year, parental psychiatric status, and educational level. RESULTS In the non-stratified analysis, there was no association between doxycycline exposure and schizophrenia risk. However, men who redeemed doxycycline had a significantly lower incidence rate for schizophrenia onset compared to men that did not (IRR 0.70; 95% CI 0.57-0.86). By contrast, women had a significantly higher incidence rate for schizophrenia onset, compared to women that did not redeem doxycycline prescriptions (IRR 1.23; 95% CI 1.08, 1.40). The effects were not found for other tetracycline antibiotics (IRR 1.00; 95% CI 0.91, 1.09). CONCLUSIONS Doxycycline exposure is associated with a sex-dependent effect on schizophrenia risk. The next steps are replication of the results in independent well-characterized population cohorts, as well as preclinical studies to investigate sex-specific effects of doxycycline on biological mechanisms implicated in schizophrenia.
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Affiliation(s)
- Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), James J Peters VA Medical Center, Bronx, NY, USA
| | - Thomas Munk Laursen
- The National Center for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), James J Peters VA Medical Center, Bronx, NY, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), James J Peters VA Medical Center, Bronx, NY, USA
| | - Rebecca Birnbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Trine Munk-Olsen
- The National Center for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Veerle Bergink
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
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11
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Abstract
IMPORTANCE Borderline personality disorder (BPD) affects approximately 0.7% to 2.7% of adults in the US. The disorder is associated with considerable social and vocational impairments and greater use of medical services. OBSERVATIONS Borderline personality disorder is characterized by sudden shifts in identity, interpersonal relationships, and affect, as well as by impulsive behavior, periodic intense anger, feelings of emptiness, suicidal behavior, self-mutilation, transient, stress-related paranoid ideation, and severe dissociative symptoms (eg, experience of unreality of one's self or surroundings). Borderline personality disorder is typically diagnosed by a mental health specialist using semistructured interviews. Most people with BPD have coexisting mental disorders such as mood disorders (ie, major depression or bipolar disorder) (83%), anxiety disorders (85%), or substance use disorders (78%). The etiology of BPD is related to both genetic factors and adverse childhood experiences, such as sexual and physical abuse. Psychotherapy is the treatment of choice for BPD. Psychotherapy such as dialectical behavior therapy and psychodynamic therapy reduce symptom severity more than usual care, with medium effect sizes (standardized mean difference) between -0.60 and -0.65. There is no evidence that any psychoactive medication consistently improves core symptoms of BPD. For discrete and severe comorbid mental disorders, eg, major depression, pharmacotherapy such as the selective serotonin reuptake inhibitors escitalopram, sertraline, or fluoxetine may be prescribed. For short-term treatment of acute crisis in BPD, consisting of suicidal behavior or ideation, extreme anxiety, psychotic episodes, or other extreme behavior likely to endanger a patient or others, crisis management is required, which may include prescription of low-potency antipsychotics (eg, quetiapine) or off-label use of sedative antihistamines (eg, promethazine). These drugs are preferred over benzodiazepines such as diazepam or lorazepam. CONCLUSIONS AND RELEVANCE Borderline personality disorder affects approximately 0.7% to 2.7% of adults and is associated with functional impairment and greater use of medical services. Psychotherapy with dialectical behavior therapy and psychodynamic therapy are first-line therapies for BPD, while psychoactive medications do not improve the primary symptoms of BPD.
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Affiliation(s)
- Falk Leichsenring
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
- Department of Psychosomatics and Psychotherapy, University of Rostock, Rostock, Germany
| | - Nikolas Heim
- International Psychoanalytic University, Berlin, Germany
| | - Frank Leweke
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
| | - Carsten Spitzer
- Department of Psychosomatics and Psychotherapy, University of Rostock, Rostock, Germany
| | - Christiane Steinert
- Department of Psychosomatics and Psychotherapy, University of Giessen, Giessen, Germany
- International Psychoanalytic University, Berlin, Germany
| | - Otto F Kernberg
- Weill Cornell Medical College, Personality Disorders Institute, New York, New York
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12
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Skorobogatov K, Autier V, Foiselle M, Richard JR, Boukouaci W, Wu CL, Raynal S, Carbonne C, Laukens K, Meysman P, Coppens V, le Corvoisier P, Barau C, De Picker L, Morrens M, Tamouza R, Leboyer M. Kynurenine pathway abnormalities are state-specific but not diagnosis-specific in schizophrenia and bipolar disorder. Brain Behav Immun Health 2023; 27:100584. [PMID: 36685639 PMCID: PMC9852293 DOI: 10.1016/j.bbih.2022.100584] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023] Open
Abstract
Schizophrenia (SCZ) and bipolar disorder (BD) are associated with immunological dysfunctions that have been hypothesized to lead to clinical symptomatology in particular through kynurenine pathway abnormalities. The aim of this study was thus to investigate the impact of serum kynurenine metabolite levels on diagnosis, clinical state, symptom severity and clinical course in a large French transdiagnostic cohort of SCZ and BD patients. Four patient groups (total n = 507) were included in a cross-sectional observational study: 1) hospitalized acute bipolar patients (n = 205); 2) stable bipolar outpatients (n = 116); 3) hospitalized acute schizophrenia patients (n = 111) and 4) stable schizophrenia outpatients (n = 75), in addition to healthy controls (HC) (n = 185). The quantitative determination of serum kynurenine metabolites was performed using liquid chromatography-tandem mass spectrometry. Kynurenine levels were lower in all patients combined compared to HC while ANCOVA analyses did not reveal inter-diagnostic difference between SCZ and BD. Interestingly, hospitalized patients of both diagnostic groups combined displayed significantly lower kynurenine levels than stabilized outpatients. Psychotic symptoms were associated with lower quinaldic acid (F = 9.18, p=<.001), which is KAT-driven, whereas a longer duration of illness contributed to abnormalities in tryptophan (F = 5.41, p = .023), kynurenine (F = 16.93, p=<.001), xanthurenic acid (F = 9.34, p = .002), quinolinic acid (F = 9.18, p = .003) and picolinic acid (F = 4.15, p = .043), metabolized through the KMO-branch. These data confirm illness state rather than diagnosis to drive KP alterations in SCZ and BD. Lower levels of KP metabolites can thus be viewed as a transdiagnostic feature of SCZ and BD, independently associated with acute symptomatology and a longer duration of illness. Quinaldic acid has seldomly been investigated by previous studies and appears an important state marker in SCZ and BD. As serum samples are used in this study, it is not possible to extrapolate these findings to the brain.
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Affiliation(s)
- Katrien Skorobogatov
- Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Duffel, Belgium
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | | | - Marianne Foiselle
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
| | - Jean-Romain Richard
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
| | - Wahid Boukouaci
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
| | - Ching-Lien Wu
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
| | | | | | - Kris Laukens
- Biomedical Informatics Research Center Antwerp (BIOMINA), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium
- Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- Biomedical Informatics Research Center Antwerp (BIOMINA), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium
- Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
| | - Violette Coppens
- Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Duffel, Belgium
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Philippe le Corvoisier
- Inserm, Centre d'Investigation Clinique 1430, AP-HP, Hôpital Henri Mondor, Université Paris Est Créteil, Créteil, France
| | - Caroline Barau
- Plateforme de Ressources Biologiques, HU Henri Mondor, F94010, France
| | - Livia De Picker
- Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Duffel, Belgium
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Manuel Morrens
- Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Duffel, Belgium
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Ryad Tamouza
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
| | - Marion Leboyer
- Université Paris Est Creteil, Inserm U955, IMRB Translational Neuropsychiatry Laboratory, Creteil, France
- AP-HP, Hôpitaux Universitaires H Mondor, DMU IMPACT, FHU ADAPT, Créteil, France
- Fondation FondaMental, Creteil, France
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13
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Andreassen OA, Hindley GFL, Frei O, Smeland OB. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 2023; 22:4-24. [PMID: 36640404 PMCID: PMC9840515 DOI: 10.1002/wps.21034] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 01/15/2023] Open
Abstract
Psychiatric genetics has made substantial progress in the last decade, providing new insights into the genetic etiology of psychiatric disorders, and paving the way for precision psychiatry, in which individual genetic profiles may be used to personalize risk assessment and inform clinical decision-making. Long recognized to be heritable, recent evidence shows that psychiatric disorders are influenced by thousands of genetic variants acting together. Most of these variants are commonly occurring, meaning that every individual has a genetic risk to each psychiatric disorder, from low to high. A series of large-scale genetic studies have discovered an increasing number of common and rare genetic variants robustly associated with major psychiatric disorders. The most convincing biological interpretation of the genetic findings implicates altered synaptic function in autism spectrum disorder and schizophrenia. However, the mechanistic understanding is still incomplete. In line with their extensive clinical and epidemiological overlap, psychiatric disorders appear to exist on genetic continua and share a large degree of genetic risk with one another. This provides further support to the notion that current psychiatric diagnoses do not represent distinct pathogenic entities, which may inform ongoing attempts to reconceptualize psychiatric nosology. Psychiatric disorders also share genetic influences with a range of behavioral and somatic traits and diseases, including brain structures, cognitive function, immunological phenotypes and cardiovascular disease, suggesting shared genetic etiology of potential clinical importance. Current polygenic risk score tools, which predict individual genetic susceptibility to illness, do not yet provide clinically actionable information. However, their precision is likely to improve in the coming years, and they may eventually become part of clinical practice, stressing the need to educate clinicians and patients about their potential use and misuse. This review discusses key recent insights from psychiatric genetics and their possible clinical applications, and suggests future directions.
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Affiliation(s)
- Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Guy F L Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Olav B Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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14
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El Karkafi R, Gebara T, Salem M, Kamel J, El Khoury G, Zalal M, Fakhoury M. Ketogenic Diet and Inflammation: Implications for Mood and Anxiety Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1411:537-554. [PMID: 36949325 DOI: 10.1007/978-981-19-7376-5_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
The ketogenic diet, known as a low-carbohydrate, high-protein, and high-fat diet, drastically restrains the major source of energy for the body, forcing it to burn all excess fat through a process called ketosis-the breaking down of fat into ketone bodies. First suggested as a medical treatment for children suffering from epilepsy, this diet has gained increased popularity as a rapid weight loss strategy. Over the past few years, there have been numerous studies suggesting that the ketogenic diet may provide therapeutic effects for several psychiatric conditions such as mood- and anxiety-related disorders. However, despite significant progress in research, the mechanisms underlying its therapeutic effects remain largely unexplored and are yet to be fully elucidated. This chapter provides an in-depth overview of preclinical and clinical evidence supporting the use of a ketogenic diet in the management of mood and anxiety disorders and discusses its relationship with inflammatory processes and potential mechanisms of actions for its therapeutic effects.
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Affiliation(s)
- Roy El Karkafi
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Tammy Gebara
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Michael Salem
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Jessica Kamel
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Ghinwa El Khoury
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Marilynn Zalal
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon
| | - Marc Fakhoury
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon.
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15
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Johnston KJ, Huckins LM. Chronic Pain and Psychiatric Conditions. Complex Psychiatry 2023; 9:24-43. [PMID: 37034825 PMCID: PMC10080192 DOI: 10.1159/000527041] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/01/2022] [Indexed: 11/19/2022] Open
Abstract
Introduction Chronic pain is a common condition with high socioeconomic and public health burden. A wide range of psychiatric conditions are often comorbid with chronic pain and chronic pain conditions, negatively impacting successful treatment of either condition. The psychiatric condition receiving most attention in the past with regard to chronic pain comorbidity has been major depressive disorder, despite the fact that many other psychiatric conditions also demonstrate epidemiological and genetic overlap with chronic pain. Further understanding potential mechanisms involved in psychiatric and chronic pain comorbidity could lead to new treatment strategies both for each type of disorder in isolation and in scenarios of comorbidity. Methods This article provides an overview of relationships between DSM-5 psychiatric diagnoses and chronic pain, with particular focus on PTSD, ADHD, and BPD, disorders which are less commonly studied in conjunction with chronic pain. We also discuss potential mechanisms that may drive comorbidity, and present new findings on the genetic overlap of chronic pain and ADHD, and chronic pain and BPD using linkage disequilibrium score regression analyses. Results Almost all psychiatric conditions listed in the DSM-5 are associated with increased rates of chronic pain. ADHD and BPD are significantly genetically correlated with chronic pain. Psychiatric conditions aside from major depression are often under-researched with respect to their relationship with chronic pain. Conclusion Further understanding relationships between psychiatric conditions other than major depression (such as ADHD, BPD, and PTSD as exemplified here) and chronic pain can positively impact understanding of these disorders, and treatment of both psychiatric conditions and chronic pain.
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Affiliation(s)
- Keira J.A. Johnston
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
| | - Laura M. Huckins
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
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16
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Pålsson E, Melchior L, Lindwall Sundel K, Karanti A, Joas E, Nordenskjöld A, Agestam M, Runeson B, Landén M. Cohort profile: the Swedish National Quality Register for bipolar disorder(BipoläR). BMJ Open 2022; 12:e064385. [PMID: 36600380 PMCID: PMC9743376 DOI: 10.1136/bmjopen-2022-064385] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE The Swedish National Quality Register for bipolar affective disorder, BipoläR, was established in 2004 to provide nationwide indicators for quality assessment and development in the clinical care of individuals with bipolar spectrum disorder. An ancillary aim was to provide data for bipolar disorder research. PARTICIPANTS Inclusion criteria for registration in BipoläR is a diagnosis of bipolar spectrum disorder (ICD codes: F25.0, F30.1-F30.2, F30.8-F31.9, F34.0) and treatment at an outpatient clinic in Sweden. BipoläR collects data from baseline and annual follow-up visits throughout Sweden. Data is collected using questionnaires administered by healthcare staff. The questions cover sociodemographic, diagnostic, treatment, outcomes and patient reported outcome variables. The register currently includes 39 583 individual patients with a total of 75 423 baseline and follow-up records. FINDINGS TO DATE Data from BipoläR has been used in several peer-reviewed publications. Studies have provided knowledge on effectiveness, side effects and use of pharmacological and psychological treatment in bipolar disorder. In addition, findings on the diagnosis of bipolar disorder, risk factors for attempted and completed suicide and health economics have been reported. The Swedish Bipolar Collection project has contributed to a large number of published studies and provides important information on the genetic architecture of bipolar disorder, the impact of genetic variation on disease characteristics and treatment outcome. FUTURE PLANS Data collection is ongoing with no fixed end date. Currently, approximately 5000 new registrations are added each year. Cohort data are available via a formalised request procedure from Centre of Registers Västra Götaland (e-mail: registercentrum@vgregion.se). Data requests for research purposes require an entity responsible for the research and an ethical approval.
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Affiliation(s)
- Erik Pålsson
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Lydia Melchior
- Bipolarmottagning, Sahlgrenska University Hospital, Goteborg, Sweden
| | | | - Alina Karanti
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Erik Joas
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
| | - Axel Nordenskjöld
- University Health Care Research Centre, Faculty of Medicine and Health, Orebro Universitet, Orebro, Sweden
| | | | - Bo Runeson
- Psychiatry, Karolinska Institute, Stockholm, Sweden
| | - Mikael Landén
- Psychiatry and Neurochemistry, University of Gothenburg, Goteborg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Pennazio F, Brasso C, Villari V, Rocca P. Current Status of Therapeutic Drug Monitoring in Mental Health Treatment: A Review. Pharmaceutics 2022; 14:pharmaceutics14122674. [PMID: 36559168 PMCID: PMC9783500 DOI: 10.3390/pharmaceutics14122674] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022] Open
Abstract
Therapeutic drug monitoring (TDM) receives growing interest in different psychiatric clinical settings (emergency, inpatient, and outpatient services). Despite its usefulness, TDM remains underemployed in mental health. This is partly due to the need for evidence about the relationship between drug serum concentration and efficacy and tolerability, both in the general population and even more in subpopulations with atypical pharmacokinetics. This work aims at reviewing the scientific literature published after 2017, when the most recent guidelines about the use of TDM in mental health were written. We found 164 pertinent records that we included in the review. Some promising studies highlighted the possibility of correlating early drug serum concentration and clinical efficacy and safety, especially for antipsychotics, potentially enabling clinicians to make decisions on early laboratory findings and not proceeding by trial and error. About populations with pharmacokinetic peculiarities, the latest studies confirmed very common alterations in drug blood levels in pregnant women, generally with a progressive decrease over pregnancy and a very relevant dose-adjusted concentration increase in the elderly. For adolescents also, several drugs result in having different dose-related concentration values compared to adults. These findings stress the recommendation to use TDM in these populations to ensure a safe and effective treatment. Moreover, the integration of TDM with pharmacogenetic analyses may allow clinicians to adopt precise treatments, addressing therapy on an individual pharmacometabolic basis. Mini-invasive TDM procedures that may be easily performed at home or in a point-of-care are very promising and may represent a turning point toward an extensive real-world TDM application. Although the highlighted recent evidence, research efforts have to be carried on: further studies, especially prospective and fixed-dose, are needed to replicate present findings and provide clearer knowledge on relationships between dose, serum concentration, and efficacy/safety.
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Affiliation(s)
- Filippo Pennazio
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
| | - Claudio Brasso
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Correspondence:
| | - Vincenzo Villari
- Psychiatric Emergency Service, Department of Neuroscience and Mental Health, A.O.U. “Città della Salute e della Scienza di Torino”, 10126 Turin, Italy
| | - Paola Rocca
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
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Cannabis-Based Medicinal Products in the Management of Emotionally Unstable Personality Disorder (EUPD): A Narrative Review and Case Series. Brain Sci 2022; 12:brainsci12111467. [DOI: 10.3390/brainsci12111467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022] Open
Abstract
Emotionally unstable personality disorder (EUPD) is a common mental health disorder, manifesting with a range of chronic and debilitating symptoms, including impaired social functioning, unstable mood, and risky impulsive or self-injurious behaviour. Whilst the exact aetiology has not been fully elucidated, implicated factors seem to include genetic factors, environmental causes such as trauma, and neurotransmitter deficits. The literature suggests that impaired functioning of the endocannabinoid system in key brain regions responsible for emotional processing and stress response may underlie the manifestation of EUPD symptoms. The National Institute for Health and Care Excellence (NICE) 2009 guidelines state that “no drugs have established efficacy in treating or managing EUPD”, and yet, patients are commonly prescribed medication which includes antipsychotics, antidepressants, and mood stabilisers. Here we present a case series of seven participants diagnosed with EUPD and treated with cannabis-based medicinal products (CBMPs). Participants were given an initial assessment and followed up one month after CBMPs prescription. Improvement in symptoms was assessed by the completion of ratified rating scales by the participant and psychiatrist. Our results indicate that CBMPs were effective and well tolerated, as six participants reported a noticeable improvement in their symptoms and functioning. Although promising, further research is needed to ascertain the long-term tolerability, efficacy, and dosing strategy for CBMPs in EUPD.
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Hogg B, Gardoki-Souto I, Valiente-Gómez A, Rosa AR, Fortea L, Radua J, Amann BL, Moreno-Alcázar A. Psychological trauma as a transdiagnostic risk factor for mental disorder: an umbrella meta-analysis. Eur Arch Psychiatry Clin Neurosci 2022; 273:397-410. [PMID: 36208317 DOI: 10.1007/s00406-022-01495-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 09/27/2022] [Indexed: 01/08/2023]
Abstract
This umbrella review is the first to systematically examine psychological trauma as a transdiagnostic risk factor across psychiatric conditions. We searched Pubmed, Scopus, and PsycNET databases from inception until 01/05/2021 for systematic reviews/meta-analyses evaluating the association between psychological trauma and at least one diagnosed mental disorder. We re-calculated the odds ratio (OR), then classified the association as convincing, highly suggestive, suggestive, or weak, based on the number of cases and controls with and without psychological trauma, random-effects p value, the 95% confidence interval of the largest study, heterogeneity between studies, 95% prediction interval, small-study effect, and excess significance bias. Additional outcomes were the association between specific trauma types and specific mental disorders, and a sensitivity analysis for childhood trauma. Transdiagnosticity was assessed using TRANSD criteria. The review was pre-registered in Prospero CRD42020157308 and followed PRISMA/MOOSE guidelines. Fourteen reviews met inclusion criteria, comprising 16,277 cases and 77,586 controls. Psychological trauma met TRANSD criteria as a transdiagnostic factor across different diagnostic criteria and spectra. There was highly suggestive evidence of an association between psychological trauma at any time-point and any mental disorder (OR = 2.92) and between childhood trauma and any mental disorder (OR = 2.90). Regarding specific trauma types, convincing evidence linked physical abuse (OR = 2.36) and highly suggestive evidence linked sexual abuse (OR = 3.47) with a range of mental disorders, and convincing evidence linked emotional abuse to anxiety disorders (OR = 3.05); there were no data for emotional abuse with other disorders. These findings highlight the importance of preventing early traumatic events and providing trauma-informed care in early intervention and psychiatric services.
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Affiliation(s)
- Bridget Hogg
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction (INAD), Parc de Salut Mar, C/Llull 410, 08019, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,PhD Programme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain
| | - Itxaso Gardoki-Souto
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction (INAD), Parc de Salut Mar, C/Llull 410, 08019, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,PhD Programme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alicia Valiente-Gómez
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction (INAD), Parc de Salut Mar, C/Llull 410, 08019, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain
| | - Adriane Ribeiro Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Department of Pharmacology, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil.,Postgraduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Lydia Fortea
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain.,Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain.,Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK.,Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Benedikt L Amann
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction (INAD), Parc de Salut Mar, C/Llull 410, 08019, Barcelona, Spain. .,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain. .,Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain. .,Department of Psychiatry and Psychotherapy, Klinikum Der Universität München, Munich, Germany.
| | - Ana Moreno-Alcázar
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction (INAD), Parc de Salut Mar, C/Llull 410, 08019, Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain
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20
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Larsen NY, Vihrs N, Møller J, Sporring J, Tan X, Li X, Ji G, Rajkowska G, Sun F, Nyengaard JR. Layer III pyramidal cells in the prefrontal cortex reveal morphological changes in subjects with depression, schizophrenia, and suicide. Transl Psychiatry 2022; 12:363. [PMID: 36064829 PMCID: PMC9445178 DOI: 10.1038/s41398-022-02128-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 08/15/2022] [Accepted: 08/18/2022] [Indexed: 11/09/2022] Open
Abstract
Brodmann Area 46 (BA46) has long been regarded as a hotspot of disease pathology in individuals with schizophrenia (SCH) and major depressive disorder (MDD). Pyramidal neurons in layer III of the Brodmann Area 46 (BA46) project to other cortical regions and play a fundamental role in corticocortical and thalamocortical circuits. The AutoCUTS-LM pipeline was used to study the 3-dimensional structural morphology and spatial organization of pyramidal cells. Using quantitative light microscopy, we used stereology to calculate the entire volume of layer III in BA46 and the total number and density of pyramidal cells. Volume tensors estimated by the planar rotator quantified the volume, shape, and nucleus displacement of pyramidal cells. All of these assessments were carried out in four groups of subjects: controls (C, n = 10), SCH (n = 10), MDD (n = 8), and suicide subjects with a history of depression (SU, n = 11). SCH subjects had a significantly lower somal volume, total number, and density of pyramidal neurons when compared to C and tended to show a volume reduction in layer III of BA46. When comparing MDD subjects with C, the measured parameters were inclined to follow SCH, although there was only a significant reduction in pyramidal total cell number. While no morphometric differences were observed between SU and MDD, SU had a significantly higher total number of pyramidal cells and nucleus displacement than SCH. Finally, no differences in the spatial organization of pyramidal cells were found among groups. These results suggest that despite significant morphological alterations in layer III of BA46, which may impair prefrontal connections in people with SCH and MDD, the spatial organization of pyramidal cells remains the same across the four groups and suggests no defects in neuronal migration. The increased understanding of pyramidal cell biology may provide the cellular basis for symptoms and neuroimaging observations in SCH and MDD patients.
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Affiliation(s)
- Nick Y. Larsen
- grid.7048.b0000 0001 1956 2722Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark ,grid.7048.b0000 0001 1956 2722Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark ,Sino-Danish Center for Education and Research, Aarhus, Denmark ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China ,grid.5117.20000 0001 0742 471XCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of Copenhagen, Aarhus, Denmark
| | - Ninna Vihrs
- grid.5117.20000 0001 0742 471XDepartment of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Jesper Møller
- grid.5117.20000 0001 0742 471XCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of Copenhagen, Aarhus, Denmark ,grid.5117.20000 0001 0742 471XDepartment of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Jon Sporring
- grid.5117.20000 0001 0742 471XCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of Copenhagen, Aarhus, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Xueke Tan
- grid.418856.60000 0004 1792 5640National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China ,grid.418856.60000 0004 1792 5640Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xixia Li
- grid.5254.60000 0001 0674 042XDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark ,grid.418856.60000 0004 1792 5640National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Gang Ji
- grid.5254.60000 0001 0674 042XDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark ,grid.418856.60000 0004 1792 5640National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Grazyna Rajkowska
- grid.410721.10000 0004 1937 0407Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS USA
| | - Fei Sun
- Sino-Danish Center for Education and Research, Aarhus, Denmark ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China ,grid.418856.60000 0004 1792 5640National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China ,grid.418856.60000 0004 1792 5640Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Jens R. Nyengaard
- grid.7048.b0000 0001 1956 2722Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark ,Sino-Danish Center for Education and Research, Aarhus, Denmark ,grid.5117.20000 0001 0742 471XCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of Copenhagen, Aarhus, Denmark ,grid.154185.c0000 0004 0512 597XDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark
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21
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Elliott M, Ragsdale JM. Stress exposure and well-being: correlates of meeting criteria for bipolar disorder, borderline personality disorder, or both. Soc Psychiatry Psychiatr Epidemiol 2022; 57:1885-1896. [PMID: 34524518 DOI: 10.1007/s00127-021-02172-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 09/06/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Bipolar and borderline personality disorders share similar features, are challenging to differentiate and sometimes co-occur in the same individual. This paper compares people with bipolar, borderline, both or neither, analyzing sociodemographic characteristics, lifetime exposure to stressors, and emotional, social, and physical wellbeing to illuminate differences in life experiences associated with expressing symptoms consistent with bipolar, borderline, or both. METHODS Data were analyzed from the 2012-13 National Epidemiological Survey on Alcohol and Related Conditions (NESARC-III), N = 36,309. Survey participants were classified as bipolar (N = 488, 1.3%), borderline (N = 1758, 4.8%), both (N = 388, 1.1%), or neither (N = 33,675, 92.8%). Differences between these groups regarding demographics, adverse childhood experiences, recent stressors, lifetime trauma, psychiatric co-morbidities, and emotional, social, and physical wellbeing were assessed with the adjusted Wald F test. RESULTS People with bipolar were more likely to also have borderline (44.3%) than the reverse (18.1%). People with both disorders were least advantaged socioeconomically, most exposed to stressors and traumas across the life course, and had the worst wellbeing emotionally, socially, and physically. Differences between people with both disorders vs. borderline only were smaller than between people with borderline vs. bipolar, although bipolar disorder was associated with considerable hardship relative to having neither disorder. CONCLUSION Borderline personality disorder alone or in combination with bipolar is associated with worse economic, social, and health outcomes than bipolar alone. Borderline can resolve with evidence-based treatment, and it is critical to correctly differentiate between the two conditions, so people with borderline and/or bipolar have the optimum chance for recovery.
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Affiliation(s)
- Marta Elliott
- Department of Sociology, University of Nevada, Reno, NV, USA.
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22
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Gillespie NA, Gentry AE, Kirkpatrick RM, Reynolds CA, Mathur R, Kendler KS, Maes HH, Webb BT, Peterson RE. Determining the stability of genome-wide factors in BMI between ages 40 to 69 years. PLoS Genet 2022; 18:e1010303. [PMID: 35951648 PMCID: PMC9398001 DOI: 10.1371/journal.pgen.1010303] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 08/23/2022] [Accepted: 06/21/2022] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have successfully identified common variants associated with BMI. However, the stability of aggregate genetic variation influencing BMI from midlife and beyond is unknown. By analysing 165,717 men and 193,073 women from the UKBiobank, we performed BMI GWAS on six independent five-year age intervals between 40 and 72 years. We then applied genomic structural equation modeling to test competing hypotheses regarding the stability of genetic effects for BMI. LDSR genetic correlations between BMI assessed between ages 40 to 73 were all very high and ranged 0.89 to 1.00. Genomic structural equation modeling revealed that molecular genetic variance in BMI at each age interval could not be explained by the accumulation of any age-specific genetic influences or autoregressive processes. Instead, a common set of stable genetic influences appears to underpin genome-wide variation in BMI from middle to early old age in men and women alike.
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Affiliation(s)
- Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- QIMR Berghofer Medical Research Institute, Herston, Australia
| | - Amanda Elswick Gentry
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Robert M. Kirkpatrick
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Chandra A. Reynolds
- Department of Psychology, University of California, Riverside, California, United States of America
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Hermine H. Maes
- Virginia Institute for Psychiatric and Behavior Genetics, Departments of Human and Molecular Genetics, Psychiatry, & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Bradley T. Webb
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Roseann E. Peterson
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
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23
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Oliva V, De Prisco M, Pons-Cabrera MT, Guzmán P, Anmella G, Hidalgo-Mazzei D, Grande I, Fanelli G, Fabbri C, Serretti A, Fornaro M, Iasevoli F, de Bartolomeis A, Murru A, Vieta E, Fico G. Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder. J Clin Med 2022; 11:3935. [PMID: 35887699 PMCID: PMC9315469 DOI: 10.3390/jcm11143935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/02/2022] [Accepted: 07/04/2022] [Indexed: 02/05/2023] Open
Abstract
Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42-13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48-6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.
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Affiliation(s)
- Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Maria Teresa Pons-Cabrera
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Pablo Guzmán
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Diego Hidalgo-Mazzei
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Iria Grande
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, 6525 GD Nijmegen, The Netherlands
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 9NU, UK
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Felice Iasevoli
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea de Bartolomeis
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
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Viinikainen J, Böckerman P, Hakulinen C, Kari JT, Lehtimäki T, Raitakari OT, Pehkonen J. Schizophrenia polygenic risk score and long-term success in the labour market: A cohort study. J Psychiatr Res 2022; 151:638-641. [PMID: 35661520 DOI: 10.1016/j.jpsychires.2022.05.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/21/2022] [Accepted: 05/20/2022] [Indexed: 11/27/2022]
Abstract
Employment is rare among people with a schizophrenia diagnosis. Meanwhile, a genetic liability for schizophrenia may hinder labour market performance. We studied how the polygenic risk score (PGS) for schizophrenia related to education and labour market outcomes. We found that a higher PGS was linked to lower educational levels and weaker labour market outcomes as well as a higher likelihood of receiving social income transfers, particularly among men. Assuming that the link is causal, our results indicate that individuals with schizophrenia or schizophrenia-related traits have a weakened ability to fully participate in the labour market, potentially reinforcing social exclusion.
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Affiliation(s)
- Jutta Viinikainen
- University of Jyväskylä, Jyväskylä University School of Business and Economics, P.O. Box 35, FI-40014 University of Jyväskylä, Finland.
| | - Petri Böckerman
- University of Jyväskylä, Jyväskylä University School of Business and Economics, P.O. Box 35, FI-40014 University of Jyväskylä, Finland; Labour Institute for Economic Research, Arkadiankatu 7, FI-00100, Helsinki, Finland; IZA Institute of Labor Economics, Schaumburg-Lippe-Straße 5-9, 53113, Bonn, Germany.
| | - Christian Hakulinen
- University of Helsinki, Department of Psychology and Logopedics, P.O. Box 21, 00014 University of Helsinki, Finland.
| | - Jaana T Kari
- University of Jyväskylä, Jyväskylä University School of Business and Economics, P.O. Box 35, FI-40014 University of Jyväskylä, Finland.
| | - Terho Lehtimäki
- Tampere University, Department of Clinical Chemistry, Kalevantie 4, 33100, Tampere, Finland; Fimlab Laboratories, Arvo Ylpön katu 4, 33520, Tampere, Finland; Tampere University, Faculty of Medicine and Health Technology, Kalevantie 4, 33100, Tampere, Finland; Tampere University, Finnish Cardiovascular Research Center, Kalevantie 4, 33100, Tampere, Finland.
| | - Olli T Raitakari
- University of Turku and Turku University Hospital, Centre for Population Health Research, FI-20014 University of Turku, Finland; University of Turku, Research Centre of Applied and Preventive Cardiovascular Medicine, FI-20014 University of Turku, Finland; Turku University Hospital, Department of Clinical Physiology and Nuclear Medicine, FI-20014 University of Turku, Finland.
| | - Jaakko Pehkonen
- University of Jyväskylä, Jyväskylä University School of Business and Economics, P.O. Box 35, FI-40014 University of Jyväskylä, Finland.
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Parker G, Bayes A, Spoelma MJ. Why might bipolar disorder and borderline personality disorder be bonded? J Psychiatr Res 2022; 150:214-218. [PMID: 35397334 DOI: 10.1016/j.jpsychires.2022.03.051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 03/25/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
Abstract
The prevalence of comorbid bipolar disorder (BD) and borderline personality disorder (BPD) is distinctly higher in community samples than would be expected if the two conditions are independent. While there have been multiple explanations suggested for their interdependence, no clear model has been established. This paper reviews a broader set of explanations than considered previously, where relevant prevalence studies of the conditions are reported, previous explanations overviewed, and additional potential linkage causes are considered. It was found that there is unlikely to be any single determinant of the comorbid presence of BD and BPD. The most likely candidates are the artefactual impact of transdiagnostic features, with true comorbid status reflecting both pleiotropic genetic influences and environmental factors. Measurement errors in diagnostic assignment emerging from transdiagnostic features are likely to have clouded previous studies and therefore the interpretations. Comorbid BD/BPD is likely to be distinctly more common than estimated by clinicians, and clarification of the reasons why this is may well assist clinical management.
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Affiliation(s)
- Gordon Parker
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.
| | - Adam Bayes
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Michael J Spoelma
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
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26
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Streit F, Witt SH, Awasthi S, Foo JC, Jungkunz M, Frank J, Colodro-Conde L, Hindley G, Smeland OB, Maslahati T, Schwarze CE, Dahmen N, Schott BH, Kleindienst N, Hartmann A, Giegling I, Zillich L, Sirignano L, Poisel E, Chen CH, Nöthen MM, Mobascher A, Rujescu D, Lieb K, Roepke S, Schmahl C, Bohus M, Ripke S, Rietschel M, Andreassen OA. Borderline personality disorder and the big five: molecular genetic analyses indicate shared genetic architecture with neuroticism and openness. Transl Psychiatry 2022; 12:153. [PMID: 35411043 PMCID: PMC9001677 DOI: 10.1038/s41398-022-01912-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/18/2022] [Accepted: 03/22/2022] [Indexed: 02/06/2023] Open
Abstract
Both environmental (e.g. interpersonal traumatization during childhood and adolescence) and genetic factors may contribute to the development of Borderline Personality Disorder (BPD). Twin studies assessing borderline personality symptoms/features in the general population indicate that genetic factors underlying these symptoms/features are shared in part with the personality traits of the Five Factor Model (FFM) of personality-the "Big Five". In the present study, the genetic overlap of BPD with the Big Five -Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism- was assessed. Linkage disequilibrium score regression was used to calculate genetic correlations between a genome-wide association study (GWAS) in central European populations on BPD (N = 2543) and GWAS on the Big Five (N = 76,551-122,886, Neuroticism N = 390,278). Polygenic scores (PGS) were calculated to test the association of the genetic disposition for the personality traits with BPD case-control status. Significant positive genetic correlations of BPD were found with Neuroticism (rg = 0.34, p = 6.3*10-5) and Openness (rg = 0.24, p = 0.036), but not with the other personality traits (all | rg | <0.14, all p > 0.30). A cluster and item-level analysis showed positive genetic correlations of BPD with the Neuroticism clusters "Depressed Affect" and "Worry", and with a broad range of Neuroticism items (N = 348,219-376,352). PGS analyses confirmed the genetic correlations, and found an independent contribution of the personality traits to BPD risk. The observed associations indicate a partially shared genetic background of BPD and the personality traits Neuroticism and Openness. Larger GWAS of BPD and the "Big Five" are needed to further explore the role of personality traits in the etiology of BPD.
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Affiliation(s)
- Fabian Streit
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Stephanie H Witt
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Center for Innovative Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Jerome C Foo
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Martin Jungkunz
- Central Institute of Mental Health, Department of Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Section for Translational Medical Ethics, National Center for Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Josef Frank
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lucía Colodro-Conde
- QIMR Berghofer Medical Research Institute Brisbane, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Guy Hindley
- NORMENT, Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom
| | - Olav B Smeland
- NORMENT, Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tolou Maslahati
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Campus Benjamin Franklin, Charité - Medical Faculty Berlin, Berlin, Germany
| | - Cornelia E Schwarze
- Department of Developmental and Biological Psychology, Heidelberg University, Heidelberg, Germany
| | - Norbert Dahmen
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany
| | - Björn H Schott
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Nikolaus Kleindienst
- Central Institute of Mental Health, Department of Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Annette Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Ina Giegling
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Lea Zillich
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Sirignano
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Eric Poisel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Chi-Hua Chen
- Department of Radiology, University of California, San Diego, CA, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany
| | - Arian Mobascher
- Department of Psychiatry and Psychotherapy, St. Elisabeth Krankenhaus Lahnstein, Lahnstein, Germany
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany
| | - Stefan Roepke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Campus Benjamin Franklin, Charité - Medical Faculty Berlin, Berlin, Germany
| | - Christian Schmahl
- Central Institute of Mental Health, Department of Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Martin Bohus
- Central Institute of Mental Health, Department of Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Clinical Psychology and Psychotherapy, Ruhr University Bochum, Bochum, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Cambridge, MA, USA
- Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Marcella Rietschel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ole A Andreassen
- NORMENT Centre and KG Jebsen Centre for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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27
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Nenadić I, Meller T, Schmitt S, Stein F, Brosch K, Mosebach J, Ettinger U, Grant P, Meinert S, Opel N, Lemke H, Fingas S, Förster K, Hahn T, Jansen A, Andlauer TFM, Forstner AJ, Heilmann-Heimbach S, Hall ASM, Awasthi S, Ripke S, Witt SH, Rietschel M, Müller-Myhsok B, Nöthen MM, Dannlowski U, Krug A, Streit F, Kircher T. Polygenic risk for schizophrenia and schizotypal traits in non-clinical subjects. Psychol Med 2022; 52:1069-1079. [PMID: 32758327 DOI: 10.1017/s0033291720002822] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Schizotypy is a putative risk phenotype for psychosis liability, but the overlap of its genetic architecture with schizophrenia is poorly understood. METHODS We tested the hypothesis that dimensions of schizotypy (assessed with the SPQ-B) are associated with a polygenic risk score (PRS) for schizophrenia in a sample of 623 psychiatrically healthy, non-clinical subjects from the FOR2107 multi-centre study and a second sample of 1133 blood donors. RESULTS We did not find correlations of schizophrenia PRS with either overall SPQ or specific dimension scores, nor with adjusted schizotypy scores derived from the SPQ (addressing inter-scale variance). Also, PRS for affective disorders (bipolar disorder and major depression) were not significantly associated with schizotypy. CONCLUSIONS This important negative finding demonstrates that despite the hypothesised continuum of schizotypy and schizophrenia, schizotypy might share less genetic risk with schizophrenia than previously assumed (and possibly less compared to psychotic-like experiences).
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Affiliation(s)
- Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Johannes Mosebach
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Ulrich Ettinger
- Department of Psychology, Rheinische Friedrich-Wilhelms-Universität Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany
| | - Phillip Grant
- Psychology School, Fresenius University of Applied Sciences, Marienburgstr. 6, 60528 Frankfurt, Germany
- Faculty of Life Science Engineering, Technische Hochschule Mittelhessen University of Applied Sciences, Giessen, Germany
| | - Susanne Meinert
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Stella Fingas
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Till F M Andlauer
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
- Centre for Human Genetics, Philipps-Universität Marburg, Baldingerstraße, 35033 Marburg, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alisha S M Hall
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge MA 02142, USA
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Bertram Müller-Myhsok
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Crown St., Liverpool L69 3BX, UK
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
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28
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Abdulkadir M, Hübel C, Herle M, Loos RJF, Breen G, Bulik CM, Micali N. Eating disorder symptoms and their associations with anthropometric and psychiatric polygenic scores. EUROPEAN EATING DISORDERS REVIEW 2022; 30:221-236. [PMID: 35178801 PMCID: PMC9149768 DOI: 10.1002/erv.2889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 12/17/2021] [Accepted: 01/21/2022] [Indexed: 11/21/2022]
Abstract
Background Eating disorder (ED) symptoms are prevalent in the general population, but their shared genetic underpinnings with psychiatric, metabolic, and anthropometric traits are not known. Here, we examined if polygenic scores (PGSs) of traits associated with anorexia nervosa are also associated with adolescent ED symptoms in the Avon Longitudinal Study of Parents and Children (ALSPAC). Methods A total of 8654 participants with genotype data and at least one phenotypic measure were included from the ALSPAC study. We associated PGS from 25 traits (16 psychiatric, 4 metabolic, and 5 anthropometric) with eight ED symptoms, including behaviours such as fasting for weight loss and cognitions such as body dissatisfaction. Results Higher attention deficit hyperactivity disorder PGS and lower educational attainment PGS were associated with fasting for weight loss. Higher insomnia PGS was associated with increased body dissatisfaction. We found no evidence of an association between metabolic trait PGS and any ED symptom. Fat‐free mass, fat mass, and body fat percentage PGSs, were positively associated with binge eating, excessive exercise, fasting for weight loss, body dissatisfaction, and weight and shape concern. Conclusions ED symptoms are genetically associated with psychiatric and anthropometric, but not with metabolic traits. Our findings provide insights for future genetic research investigating on why some individuals with ED symptoms progress to develop threshold EDs while others do not. Several eating disorder symptoms (i.e., binge eating, fasting for weight loss, and body dissatisfaction) in this study were significantly associated with both psychiatric and anthropometric polygenic scores emphasising the genetic complexity of these traits. Eating disorder symptoms as present in the general population and threshold eating disorders may be partially etiologically related (i.e., psychiatric and anthropometric origins), but metabolic genetic factors may differentiate between symptoms and threshold eating disorders. Metabolic disturbances could therefore be the catalyst that puts some individuals on a developmental trajectory leading to threshold eating disorders.
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Affiliation(s)
- Mohamed Abdulkadir
- Department of Pediatrics Gynaecology and Obstetrics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Christopher Hübel
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,UK National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley Hospital, London, UK.,National Centre for Register-based Research, Aarhus Business and Social Sciences, Aarhus University, Aarhus, Denmark.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Moritz Herle
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, Charles Bronfman Institute for Personalized Medicine, New York, New York, USA
| | - Gerome Breen
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,UK National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley Hospital, London, UK
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nadia Micali
- Department of Pediatrics Gynaecology and Obstetrics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Great Ormond Street Institute of Child Health, University College London, London, UK
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29
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Umeda R, Teranishi H, Hada K, Shimizu N, Shiraishi H, Urushibata H, Shaohong L, Shide M, Apolinario MEC, Higa R, Shikano K, Shin T, Mimata H, Hikida T, Hanada T, Hanada R. Vrk2 deficiency elicits aggressive behavior in female zebrafish. Genes Cells 2022; 27:254-265. [DOI: 10.1111/gtc.12924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/25/2022] [Accepted: 01/25/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Ryohei Umeda
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
| | - Hitoshi Teranishi
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
| | - Kazumasa Hada
- Department of Cell Biology Faculty of Medicine Oita University Oita Japan
| | - Nobuyuki Shimizu
- Department of Cell Biology Faculty of Medicine Oita University Oita Japan
| | - Hiroshi Shiraishi
- Department of Cell Biology Faculty of Medicine Oita University Oita Japan
| | | | - Lai Shaohong
- Department of Cell Biology Faculty of Medicine Oita University Oita Japan
| | - Masahito Shide
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
| | | | - Ryoko Higa
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
| | - Kenshiro Shikano
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
| | - Toshitaka Shin
- Department of Urology Faculty of Medicine Oita University Oita Japan
| | - Hiromitsu Mimata
- Department of Urology Faculty of Medicine Oita University Oita Japan
| | - Takatoshi Hikida
- Laboratory for Advanced Brain Functions Institute for Protein Research Osaka University Osaka Japan
| | - Toshikatsu Hanada
- Department of Cell Biology Faculty of Medicine Oita University Oita Japan
| | - Reiko Hanada
- Department of Neurophysiology Faculty of Medicine Oita University Oita Japan
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30
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Couttas TA, Jieu B, Rohleder C, Leweke FM. Current State of Fluid Lipid Biomarkers for Personalized Diagnostics and Therapeutics in Schizophrenia Spectrum Disorders and Related Psychoses: A Narrative Review. Front Psychiatry 2022; 13:885904. [PMID: 35711577 PMCID: PMC9197191 DOI: 10.3389/fpsyt.2022.885904] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/27/2022] [Indexed: 11/22/2022] Open
Abstract
Schizophrenia spectrum disorders (SSD) are traditionally diagnosed and categorized through clinical assessment, owing to their complex heterogeneity and an insufficient understanding of their underlying pathology. However, disease progression and accurate clinical diagnosis become problematic when differentiating shared aspects amongst mental health conditions. Hence, there is a need for widely accessible biomarkers to identify and track the neurobiological and pathophysiological development of mental health conditions, including SSD. High-throughput omics applications involving the use of liquid chromatography-mass spectrometry (LC-MS) are driving a surge in biological data generation, providing systems-level insight into physiological and pathogenic conditions. Lipidomics is an emerging subset of metabolomics, largely underexplored amongst the omics systems. Lipid profiles in the brain are highly enriched with well-established functions, including maintenance, support, and signal transduction of neuronal signaling pathways, making them a prospective and exciting source of biological material for neuropsychiatric research. Importantly, changes in the lipid composition of the brain appear to extend into the periphery, as there is evidence that circulating lipid alterations correlate with alterations of psychiatric condition(s). The relative accessibility of fluid lipids offers a unique source to acquire a lipidomic "footprint" of molecular changes, which may support reliable diagnostics even at early disease stages, prediction of treatment response and monitoring of treatment success (theranostics). Here, we summarize the latest fluid lipidomics discoveries in SSD-related research, examining the latest strategies to integrate information into multi-systems overviews that generate new perspectives of SSD-related psychosis identification, development, and treatment.
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Affiliation(s)
- Timothy A Couttas
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Beverly Jieu
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Markus Leweke
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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31
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Borderline Personality Disorder: Risk Factors and Early Detection. Diagnostics (Basel) 2021; 11:diagnostics11112142. [PMID: 34829488 PMCID: PMC8620075 DOI: 10.3390/diagnostics11112142] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 12/13/2022] Open
Abstract
Personality disorders (PDs) exert a great toll on health resources, and this is especially true for borderline personality disorder (BPD). As all PDs, BPD arises during adolescence or young adulthood. It is therefore important to detect the presence of this PD in its earlier stages in order to initiate appropriate treatment, thus ameliorating the prognosis of this condition. This review aims to highlight the issues associated with BPD diagnosis in order to promote its early detection and treatment. To do so, we conducted a search on PubMed database of current evidence regarding BPD early diagnosis, focusing on risk factors, which represent important conditions to assess during young patient evaluation, and on diagnostic tools that can help the clinician in the assessment process. Our findings show how several risk factors, both environmental and genetic/neurobiological, can contribute to the onset of BPD and help identify at-risk patients who need careful monitoring. They also highlight the importance of a careful clinical evaluation aided by psychometric tests. Overall, the evidence gathered confirms the complexity of BDP early detection and its crucial importance for the outcome of this condition.
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32
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Vukojević J, Mulc D, Kinder I, Jovičić E, Friganović K, Savić A, Cifrek M, Vidović D. Borderline and Depression: A Thin EEG Line. Clin EEG Neurosci 2021; 54:224-227. [PMID: 34779273 DOI: 10.1177/15500594211060830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In everyday clinical practice, there is an ongoing debate about the nature of major depressive disorder (MDD) in patients with borderline personality disorder (BPD). The underlying research does not give us a clear distinction between those 2 entities, although depression is among the most frequent comorbid diagnosis in borderline personality patients. The notion that depression can be a distinct disorder but also a symptom in other psychopathologies led our team to try and delineate those 2 entities using 146 EEG recordings and machine learning. The utilized algorithms, developed solely for this purpose, could not differentiate those 2 entities, meaning that patients suffering from MDD did not have significantly different EEG in terms of patients diagnosed with MDD and BPD respecting the given data and methods used. By increasing the data set and the spatiotemporal specificity, one could have a more sensitive diagnostic approach when using EEG recordings. To our knowledge, this is the first study that used EEG recordings and advanced machine learning techniques and further confirmed the close interrelationship between those 2 entities.
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Affiliation(s)
- Jakša Vukojević
- 87137University Psychiatric Hospital Vrapče, University of Zagreb, Zagreb, Croatia
| | - Damir Mulc
- 87137University Psychiatric Hospital Vrapče, University of Zagreb, Zagreb, Croatia
| | - Ivana Kinder
- 112586University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
| | - Eda Jovičić
- 112586University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
| | - Krešimir Friganović
- 112586University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
| | - Aleksandar Savić
- 87137University Psychiatric Hospital Vrapče, University of Zagreb, Zagreb, Croatia
| | - Mario Cifrek
- 112586University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
| | - Domagoj Vidović
- 87137University Psychiatric Hospital Vrapče, University of Zagreb, Zagreb, Croatia
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Bohus M, Stoffers-Winterling J, Sharp C, Krause-Utz A, Schmahl C, Lieb K. Borderline personality disorder. Lancet 2021; 398:1528-1540. [PMID: 34688371 DOI: 10.1016/s0140-6736(21)00476-1] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/18/2021] [Accepted: 02/18/2021] [Indexed: 12/15/2022]
Abstract
Borderline personality disorder (BPD) is a mental disorder with a high burden on patients, family members, and health-care systems. The condition was previously regarded as untreatable, but progress in understanding and management has resulted in earlier diagnosis and better treatment outcomes. A coherent syndrome of BPD typically onsets during adolescence (after age 12 years). BPD is often preceded by or co-develops with symptoms of internalising disorders (depression and anxiety), externalising disorders (conduct problems, hyperactivity, and substance use), or both. BPD is associated with various poor outcomes, including low occupational and educational attainment, lack of long-term relationships, increased partner conflict, sexual risk-taking, low levels of social support, low life satisfaction, and increased service use. Psychotherapy is the main treatment for BPD; drug treatment is only indicated for comorbid conditions that require medication, or during a crisis if psychosocial interventions are insufficient. Awareness of BPD by non-specialists, as well as specialists, is key to appropriate early intervention.
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Affiliation(s)
- Martin Bohus
- Institute for Psychiatric and Psychosomatic Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Harvard Medical School, Boston, MA, USA
| | - Jutta Stoffers-Winterling
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany; Leibniz Institute for Resilience Research, Mainz, Germany
| | - Carla Sharp
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Annegret Krause-Utz
- Department of Clinical Psychology, Leiden University, Leiden Institute of Brain and Cognition, Leiden, Netherlands
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany; Leibniz Institute for Resilience Research, Mainz, Germany.
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Fronto-limbic neural variability as a transdiagnostic correlate of emotion dysregulation. Transl Psychiatry 2021; 11:545. [PMID: 34675186 PMCID: PMC8530999 DOI: 10.1038/s41398-021-01666-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 09/08/2021] [Accepted: 10/01/2021] [Indexed: 12/15/2022] Open
Abstract
Emotion dysregulation is central to the development and maintenance of psychopathology, and is common across many psychiatric disorders. Neurobiological models of emotion dysregulation involve the fronto-limbic brain network, including in particular the amygdala and prefrontal cortex (PFC). Neural variability has recently been suggested as an index of cognitive flexibility. We hypothesized that within-subject neural variability in the fronto-limbic network would be related to inter-individual variation in emotion dysregulation in the context of low affective control. In a multi-site cohort (N = 166, 93 females) of healthy individuals and individuals with emotional dysregulation (attention deficit/hyperactivity disorder (ADHD), bipolar disorder (BD), and borderline personality disorder (BPD)), we applied partial least squares (PLS), a multivariate data-driven technique, to derive latent components yielding maximal covariance between blood-oxygen level-dependent (BOLD) signal variability at rest and emotion dysregulation, as expressed by affective lability, depression and mania scores. PLS revealed one significant latent component (r = 0.62, p = 0.044), whereby greater emotion dysregulation was associated with increased neural variability in the amygdala, hippocampus, ventromedial, dorsomedial and dorsolateral PFC, insula and motor cortex, and decreased neural variability in occipital regions. This spatial pattern bears a striking resemblance to the fronto-limbic network, which is thought to subserve emotion regulation, and is impaired in individuals with ADHD, BD, and BPD. Our work supports emotion dysregulation as a transdiagnostic dimension with neurobiological underpinnings that transcend diagnostic boundaries, and adds evidence to neural variability being a relevant proxy of neural efficiency.
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Keenan BT, Galante RJ, Lian J, Zhang L, Guo X, Veatch OJ, Chesler EJ, O'Brien WT, Svenson KL, Churchill GA, Pack AI. The dihydropyrimidine dehydrogenase gene contributes to heritable differences in sleep in mice. Curr Biol 2021; 31:5238-5248.e7. [PMID: 34653361 DOI: 10.1016/j.cub.2021.09.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/25/2021] [Accepted: 09/17/2021] [Indexed: 12/27/2022]
Abstract
Many aspects of sleep are heritable, but only a few sleep-regulating genes have been reported. Here, we leverage mouse models to identify and confirm a previously unreported gene affecting sleep duration-dihydropyrimidine dehydrogenase (Dpyd). Using activity patterns to quantify sleep in 325 Diversity Outbred (DO) mice-a population with high genetic and phenotypic heterogeneity-a linkage peak for total sleep in the active lights off period was identified on chromosome 3 (LOD score = 7.14). Mice with the PWK/PhJ ancestral haplotype at this location demonstrated markedly reduced sleep. Among the genes within the linkage region, available RNA sequencing data in an independent sample of DO mice supported a highly significant expression quantitative trait locus for Dpyd, wherein reduced expression was associated with the PWK/PhJ allele. Validation studies were performed using activity monitoring and EEG/EMG recording in Collaborative Cross mouse strains with and without the PWK/PhJ haplotype at this location, as well as EEG and EMG recording of sleep and wake in Dpyd knockout mice and wild-type littermate controls. Mice lacking Dpyd had 78.4 min less sleep during the lights-off period than wild-type mice (p = 0.007; Cohen's d = -0.94). There was no difference in other measured behaviors in knockout mice, including assays evaluating cognitive-, social-, and affective-disorder-related behaviors. Dpyd encodes the rate-limiting enzyme in the metabolic pathway that catabolizes uracil and thymidine to β-alanine, an inhibitory neurotransmitter. Thus, data support β-alanine as a neurotransmitter that promotes sleep in mice.
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Affiliation(s)
- Brendan T Keenan
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Raymond J Galante
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jie Lian
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lin Zhang
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Xiaofeng Guo
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Olivia J Veatch
- Department of Psychiatry & Behavioral Sciences, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - W Timothy O'Brien
- Neurobehavior Testing Core, Institute for Translational and Therapeutic Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Cadman T, Kwong ASF, Moran P, O’Mahen H, Culpin I, Lawlor DA, Pearson RM. Joint associations of parental personality traits and socio-economic position with trajectories of offspring depression: Findings from up to 6925 families in a UK birth cohort. JCPP ADVANCES 2021; 1:e12028. [PMID: 37431442 PMCID: PMC10242948 DOI: 10.1002/jcv2.12028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/28/2021] [Indexed: 11/08/2022] Open
Abstract
Background Parental personality may influence the course of offspring depression but epidemiological evidence for associations is lacking. It is also unknown whether associations between parental personality and offspring depression differ by socio-economic position (SEP). Our aims were to describe the trajectories of depressive symptoms across adolescence of offspring of parents with and without maladaptive personality traits and to test for effect modification by SEP. Methods A longitudinal study in the Avon Longitudinal Study of Parents and Children birth cohort (ns = 3054-7046). Exposures were binary measures of maladaptive maternal and paternal personality traits. The outcome was depressive symptoms measured over nine occasions (ages 11-24) using the short mood and feelings questionnaire (SMFQ; range: 0-26). Effect modifiers were parental education and self-reported material hardship. Multilevel growth curve models were used to estimate trajectories. Results offspring of mothers with high (vs. low) maladaptive traits showed higher levels of depressive symptoms at multiple ages of adolescence, the greatest of which was observed at age 22 (predicted SMFQ difference age 10 = 0.66, 95% confidence intervals [CIs]: 0.25 to 1.28; age 22 = 1.00, CI: 0.51 to 1.50). There was weaker and inconsistent evidence of an association between paternal maladaptive personality and offspring depressive symptoms (SMFQ difference age 10 = 0.21, CI: -0.58 to 0.99; age 22 = 0.02, CI: -0.94 to 0.90). Lower SEP was also associated with higher offspring depressive symptoms (SMFQ difference material hardship vs. no hardship age 10 = 0.79, 95% CI: 0.46 to 1.13; age 22 = 0.96, CI: 0.56 to 1.36). There was minimal statistical evidence for effect modification. Conclusions The offspring of mothers with high levels of maladaptive personality traits show evidence of greater depressive symptoms throughout adolescence although the absolute increase in symptoms is small. Evidence for the associations with fathers' personality was weaker. Socio-economic position and maladaptive personality traits appear to be independent risk factors for offspring depressive symptoms.
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Affiliation(s)
- Tim Cadman
- Integrative Epidemiology Unit (IEU)University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Alex S. F. Kwong
- Integrative Epidemiology Unit (IEU)University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
- Division of PsychiatryUniversity of EdinburghEdinburghUK
- Centre for Multilevel ModellingSchool of EducationUniversity of BristolBristolUK
| | - Paul Moran
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
- Population Health ScienceCentre for Academic Mental HealthBristol Medical SchoolUniversity of BristolBristolUK
- Bristol NIHR Biomedical Research CentreBristolUK
| | - Heather O’Mahen
- Department of PsychologyCollege of Life and Environmental SciencesUniversity of ExeterExeterUK
| | - Iryna Culpin
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
- Population Health ScienceCentre for Academic Mental HealthBristol Medical SchoolUniversity of BristolBristolUK
| | - Deborah A. Lawlor
- Integrative Epidemiology Unit (IEU)University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
- Bristol NIHR Biomedical Research CentreBristolUK
| | - Rebecca M. Pearson
- Integrative Epidemiology Unit (IEU)University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
- Population Health ScienceCentre for Academic Mental HealthBristol Medical SchoolUniversity of BristolBristolUK
- Bristol NIHR Biomedical Research CentreBristolUK
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Genome-wide association study of panic disorder reveals genetic overlap with neuroticism and depression. Mol Psychiatry 2021; 26:4179-4190. [PMID: 31712720 DOI: 10.1038/s41380-019-0590-2] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 01/04/2023]
Abstract
Panic disorder (PD) has a lifetime prevalence of 2-4% and heritability estimates of 40%. The contributory genetic variants remain largely unknown, with few and inconsistent loci having been reported. The present report describes the largest genome-wide association study (GWAS) of PD to date comprising genome-wide genotype data of 2248 clinically well-characterized PD patients and 7992 ethnically matched controls. The samples originated from four European countries (Denmark, Estonia, Germany, and Sweden). Standard GWAS quality control procedures were conducted on each individual dataset, and imputation was performed using the 1000 Genomes Project reference panel. A meta-analysis was then performed using the Ricopili pipeline. No genome-wide significant locus was identified. Leave-one-out analyses generated highly significant polygenic risk scores (PRS) (explained variance of up to 2.6%). Linkage disequilibrium (LD) score regression analysis of the GWAS data showed that the estimated heritability for PD was 28.0-34.2%. After correction for multiple testing, a significant genetic correlation was found between PD and major depressive disorder, depressive symptoms, and neuroticism. A total of 255 single-nucleotide polymorphisms (SNPs) with p < 1 × 10-4 were followed up in an independent sample of 2408 PD patients and 228,470 controls from Denmark, Iceland and the Netherlands. In the combined analysis, SNP rs144783209 showed the strongest association with PD (pcomb = 3.10 × 10-7). Sign tests revealed a significant enrichment of SNPs with a discovery p-value of <0.0001 in the combined follow up cohort (p = 0.048). The present integrative analysis represents a major step towards the elucidation of the genetic susceptibility to PD.
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38
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Ditrich I, Philipsen A, Matthies S. Borderline personality disorder (BPD) and attention deficit hyperactivity disorder (ADHD) revisited - a review-update on common grounds and subtle distinctions. Borderline Personal Disord Emot Dysregul 2021; 8:22. [PMID: 34229766 PMCID: PMC8261991 DOI: 10.1186/s40479-021-00162-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Overlap in symptom domains particularly in the field of impulsivity and emotional dysregulation in attention deficit hyperactivity disorder (ADHD) and borderline personality disorder (BPD) have stimulated further research activities since our last review from 2014. MAIN BODY Disentangling features of impulsivity in ADHD and BPD revealed that impulsivity is a feature of both disorders with patients suffering from both ADHD and BPD having highest impulsivity ratings. BPD individuals have more problems using context cues for inhibiting responses and their impulsivity is stress-dependent, whereas ADHD patients have more motor impulsivity and therefore difficulties interrupting ongoing responses. For emotion regulation difficulties the ranking order ranges from ADHD to BPD to the comorbid condition, again with the patients suffering from both, ADHD and BPD, having the most pronounced emotion regulation problems. Environmental influences namely adverse childhood events were shown to be linked to both ADHD and BPD. Traumatic experiences seem independently linked to impulsivity features. Thus, some authors point to the risk of misdiagnosis during childhood and the necessity to screen for traumatic experiences in both patient groups. Genetic research confirmed genetic overlap of BPD with bipolar disorder (BD) and schizophrenic disorders, as well as genetic overlap of BD and ADHD. A population-based study confirmed the high co-occurrence and familial co-aggregation of ADHD and BPD. Interesting questions in the field of gene-environment-interactions are currently dealt with by genetic and epigenetic research. Few studies have investigated treatment strategies for the comorbid condition, though the issue is highly important for the management of patients suffering from both disorders and presenting with the highest symptom scores. CONCLUSION Research on the different impulsivity features might point to a necessity of disorder-specific treatment strategies in the field of impulse control. Future research is needed to base treatment decisions for the comorbid condition on an evidence basis.
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Affiliation(s)
- Ismene Ditrich
- Department of Psychiatry and Psychotherapy, Medical Center -Faculty of Medicine, University of Freiburg, Hauptstr. 5, D-79104, Freiburg, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, Medical Center, University of Bonn, Bonn, Germany
| | - Swantje Matthies
- Department of Psychiatry and Psychotherapy, Medical Center -Faculty of Medicine, University of Freiburg, Hauptstr. 5, D-79104, Freiburg, Germany.
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Palmer BA, Pahwa M, Geske JR, Kung S, Nassan M, Schak KM, Alarcon RD, Frye MA, Singh B. Self-report screening instruments differentiate bipolar disorder and borderline personality disorder. Brain Behav 2021; 11:e02201. [PMID: 34056864 PMCID: PMC8323027 DOI: 10.1002/brb3.2201] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 11/24/2020] [Accepted: 05/10/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Bipolar disorder (BD) and borderline personality disorder (BPD) share overlapping phenomenology and are frequently misdiagnosed. This study investigated the diagnostic accuracy of the Mood Disorder Questionnaire (MDQ) and McLean Screening Instrument for Borderline Personality Disorder (MSI) in a clinical inpatient setting and whether individual screening items could differentiate BD from BPD. METHODS 757 sequential inpatients admitted to a Mood Disorder Unit completed both the MDQ and MSI. Screen positive for the MDQ was defined as ≥7/13 symptoms endorsed with concurrence and at least moderate impact. Screen positive for the MSI was defined as a score of ≥7. The clinical discharge summary diagnosis completed by a board-certified psychiatrist was used as the reference standard to identify concordance rates of a positive screen with clinical diagnosis. Individual items predicting one disorder and simultaneously predicting absence of other disorder by odds ratio (OR>and <1) were identified. RESULTS Both screening instruments were more specific than sensitive (MDQ 83.7%/ 67.8%, MSI 73.2% / 63.3%). MDQ individual items (elevated mood, grandiosity, increased energy, pressured speech, decreased need for sleep, hyperactivity) were significant predictors of BD diagnosis and non-predictors of BPD diagnosis. Whereas MSI subitem, self-harm behaviors/suicidal attempts predicted BPD in the absence of BD; distrust and irritability were additional predictors of BPD. CONCLUSION While this study is limited by the lack of structured diagnostic interview, these data provide differential symptoms to discriminate BD and BPD. Further work with larger datasets and more rigorous bioinformatics machine learning methodology is encouraged to continue to identify distinguishing features of these two disorders to guide diagnostic precision and subsequent treatment recommendations.
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Affiliation(s)
- Brian A Palmer
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.,Mental Health and Addiction Clinical Service Line, Allina Health, Minneapolis, MN, USA
| | - Mehak Pahwa
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Jennifer R Geske
- Department of Quantitative Health Services, Mayo Clinic, Rochester, MN, USA
| | - Simon Kung
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Malik Nassan
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Kathryn M Schak
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Renato D Alarcon
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.,School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Balwinder Singh
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
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Hashworth T, Reis S, Grenyer BFS. Personal Agency in Borderline Personality Disorder: The Impact of Adult Attachment Style. Front Psychol 2021; 12:669512. [PMID: 34248763 PMCID: PMC8264284 DOI: 10.3389/fpsyg.2021.669512] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/17/2021] [Indexed: 12/02/2022] Open
Abstract
Background Personal agency- the degree to which one believes they have control over their life- is thought to influence how people understand their interpersonal relationships. Links between adult attachment and personal agency are theoretically relevant to the experience of borderline personality disorder (BPD) but this has yet to be empirically examined. The present research examines the impact of personal agency and adult attachment styles for individuals meeting criteria for BPD. Methods Participants consented to an online community study examining measures of locus of control (as an index of personal agency), BPD, and adult attachment. Participants meeting criteria for BPD (N = 96; mean age = 30.63; 70.5% female) were compared to age-matched healthy controls (N = 96; mean age = M = 31.99; 89.0% female). Results Individuals who met criteria for BPD displayed lower personal agency and higher fearful and preoccupied attachment styles in their close relationships, compared to Controls. Controls reported greater personal agency and were more securely attached in their relationships. Using multiple mediation modeling, the indirect effect of personal agency on BPD was significant for preoccupied, fearful, and secure attachment, but was non-significant for dismissive attachment. Lower personal agency was associated with insecure adult attachment styles. Conclusions Findings highlight the previously unexplored relationship between BPD and personal agency and indicate that adult attachment style plays a significant role. Low personal agency may increase challenges for individuals with symptoms of BPD by exacerbating relationship difficulties. People in treatment for BPD may benefit from focusing on both relationship insecurity and its impact on their perceived personal control.
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Affiliation(s)
- Talia Hashworth
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Samantha Reis
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Brin F S Grenyer
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
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Stoffers-Winterling J, Krause-Utz A, Lieb K, Bohus M. [What do we know about borderline personality disorder? Current aspects of etiology, diagnostics and treatment]. DER NERVENARZT 2021; 92:643-652. [PMID: 34104974 DOI: 10.1007/s00115-021-01140-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Accepted: 04/18/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Borderline personality disorder (BPS) is considered as a severe mental disorder with a high burden for patients, family members and the healthcare system. Recent years have brought significant advances in understanding and treating BP, leading to an earlier diagnosis and better treatment outcomes. OBJECTIVE This article outlines the current state of knowledge on the epidemiology, diagnostics, psychopathology and treatment of BPD and identifies open questions. MATERIAL AND METHODS Based on a literature search in the PubMed, PsycINFO and EMBASE databases, the latest developments in the topic of BPD for the areas of diagnostics, epidemiology, etiology and treatment are illuminated in a narrative review. Where possible systematic review articles, meta-analyses and evidence-based practice guidelines were also considered. STATE OF THE SCIENCE At the core of BPS are disorders of emotion regulation, self-image, and interpersonal interaction. The suicide rates range from 2% to 5% and life expectancy is significantly shortened compared with the general population. The effectiveness of differentiated, disorder-specific psychotherapy (especially dialectic behavioral therapy, DBT) is well established. Psychotherapeutic care in the outpatient sector, especially in the field of pediatric and adolescent psychiatry, is still insufficient. PERSPECTIVES Questions about the etiopathology, especially genetic and postulated neurobiological parameters that determine affective hypersensitivity, are largely open. Nosologically, the differentiation from comorbid complex posttraumatic stress disorder (cPTSD) is certainly an important issue, which also has therapeutic consequences.
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Affiliation(s)
| | - Annegret Krause-Utz
- Abteilung für Klinische Psychologie, Leiden Institute of Brain and Cognitio, AK Leiden, Universität Leiden, Leiden, Niederlande
| | - Klaus Lieb
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Mainz, Mainz, Deutschland
| | - Martin Bohus
- Institut für Psychiatrische und Psychosomatische Psychotherapie, Lehrstuhl für Psychosomatische Medizin und Psychotherapie, Medizinische Fakultät Mannheim, Universität Heidelberg, Zentralinstitut für Seelische Gesundheit Mannheim, J 5, 68159, Mannheim, Deutschland.
- Harvard Medical School, Boston, USA.
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Krueger RF, Hobbs KA, Conway CC, Dick DM, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Keyes KM, Latzman RD, Michelini G, Patrick CJ, Sellbom M, Slade T, South S, Sunderland M, Tackett J, Waldman I, Waszczuk MA, Wright AG, Zald DH, Watson D, Kotov R. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. World Psychiatry 2021; 20:171-193. [PMID: 34002506 PMCID: PMC8129870 DOI: 10.1002/wps.20844] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations of traditional mental disorder diagnoses. These include arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, heterogeneity of presentation within dis-orders, and instability of diagnosis within patients. This paper reviews the evidence on the validity and utility of the disinhibited externalizing and antagonistic externalizing spectra of HiTOP, which together constitute a broad externalizing superspectrum. These spectra are composed of elements subsumed within a variety of mental disorders described in recent DSM nosologies, including most notably substance use disorders and "Cluster B" personality disorders. The externalizing superspectrum ranges from normative levels of impulse control and self-assertion, to maladaptive disinhibition and antagonism, to extensive polysubstance involvement and personality psychopathology. A rich literature supports the validity of the externalizing superspectrum, and the disinhibited and antagonistic spectra. This evidence encompasses common genetic influences, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, and treatment response. The structure of these validators mirrors the structure of the phenotypic externalizing superspectrum, with some correlates more specific to disinhibited or antagonistic spectra, and others relevant to the entire externalizing superspectrum, underlining the hierarchical structure of the domain. Compared with traditional diagnostic categories, the externalizing superspectrum conceptualization shows improved utility, reliability, explanatory capacity, and clinical applicability. The externalizing superspectrum is one aspect of the general approach to psychopathology offered by HiTOP and can make diagnostic classification more useful in both research and the clinic.
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Affiliation(s)
| | - Kelsey A. Hobbs
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | | | - Danielle M. Dick
- Department of PsychologyVirginia Commonwealth UniversityRichmondVAUSA
| | - Michael N. Dretsch
- US Army Medical Research Directorate ‐ WestWalter Reed Army Institute of Research, Joint Base Lewis‐McChordWAUSA
| | | | - Miriam K. Forbes
- Centre for Emotional Health, Department of PsychologyMacquarie UniversitySydneyNSWAustralia
| | | | | | | | - Giorgia Michelini
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCAUSA
| | | | - Martin Sellbom
- Department of PsychologyUniversity of OtagoDunedinNew Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | - Susan C. South
- Department of Psychological SciencesPurdue UniversityWest LafayetteINUSA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | | | - Irwin Waldman
- Department of PsychologyEmory UniversityAtlantaGAUSA
| | | | | | - David H. Zald
- Department of PsychologyVanderbilt UniversityNashvilleTNUSA
| | - David Watson
- Department of PsychologyUniversity of Notre DameNotre DameINUSA
| | - Roman Kotov
- Department of PsychiatryStony Brook UniversityStony BrookNYUSA
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Bayes A, Spoelma MJ, Hadzi-Pavlovic D, Parker G. Differentiation of bipolar disorder versus borderline personality disorder: A machine learning approach. J Affect Disord 2021; 288:68-73. [PMID: 33845326 DOI: 10.1016/j.jad.2021.03.082] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/19/2021] [Accepted: 03/23/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Differentiation of bipolar disorder (BP) from borderline personality disorder (BPD) is a common diagnostic dilemma. We undertook a machine learning (ML) approach to distinguish the conditions. METHODS Participants meeting DSM criteria for BP or BPD were compared on measures examining cognitive and behavioral BPD constructs, emotion regulation strategies, and parental behaviors during childhood. Two analyses used continuous and dichotomised data, with ML-allocated diagnoses compared to DSM. RESULTS 82 participants met DSM criteria for BP and 52 for BPD. Accuracy of ML classification was 84.1% - 87.8% for BP, 50% - 57.7% for BPD, with overall accuracy of 73.1% - 73.9%. Importance of items differed between the analyses with the overall most important items including identity difficulties, relationship problems, female gender, feeling suicidal after a relationship breakdown and age. LIMITATIONS Participants were volunteers, preponderance of bipolar II (BP II) participants, comorbidity of BP and BPD not examined, and small BPD sample contributed to the relatively low classification accuracies for this group CONCLUSIONS: Study findings may assist distinguishing BP and BPD based on differences in cognitive and behavioral domains, emotion regulation strategies and parental behaviors. Future studies using larger datasets could further improve predictive accuracy and assist in differential diagnosis.
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Affiliation(s)
- Adam Bayes
- Black Dog Institute, Hospital Rd, Randwick, NSW 2031, Australia.
| | | | | | - Gordon Parker
- School of Psychiatry, University of New South Wales, NSW, Australia
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Nature and nurture? A review of the literature on childhood maltreatment and genetic factors in the pathogenesis of borderline personality disorder. J Psychiatr Res 2021; 137:131-146. [PMID: 33677217 DOI: 10.1016/j.jpsychires.2020.12.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 11/22/2020] [Accepted: 12/09/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Borderline Personality Disorder (BPD) is a psychiatric disorder associated with significant morbidity and mortality. However, the neurobiological alterations underlying the condition remain poorly understood. As a result, existing treatments remain inadequate. One of the main risk factors for the development of BPD is a history of childhood maltreatment. However, it is considered neither causative nor specific to the condition. Current theory is therefore increasingly moving toward a 'Gene x Environment' (GxE) model of the condition. The purpose of the current work was to conduct a systematic literature review, which comprehensively identifies all published molecular level GxE studies that have explored the role of specific genetic loci, in influencing the risk of BPD following exposure to childhood abuse or neglect. METHODS Four electronic databases were used to systematically search for molecular level GxE studies of any design, which focused on the development of BPD following exposure to childhood abuse or neglect, without language or date restrictions. Articles were screened independently by two reviewers and results were synthesized narratively. RESULTS A total of 473 articles were screened of which sixteen were selected for inclusion in our review. Implicated genes were categorised according to their influence on; Neurotransmitter Systems, Neurodevelopment and Neuroendocrine Systems. CONCLUSIONS The identified studies have produced several relevant and statistically significant results. Of particular note, is the repeated finding that genes involved in HPA axis regulation, may be altered by exposure to childhood maltreatment, influencing subsequent susceptibility to BPD. This is both biologically plausible and of potential clinical significance.
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Haltigan JD, Del Giudice M, Khorsand S. Growing points in attachment disorganization: looking back to advance forward. Attach Hum Dev 2021; 23:438-454. [PMID: 33890555 DOI: 10.1080/14616734.2021.1918454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
In this special issue paper we reflect on the next generation of attachment research with a focus on disorganization, a central but still poorly understood topic in this area. We suggest that progress will be facilitated by a return to attachment theory's evolutionary roots, and to the emphasis on biological function that inspired Bowlby's original thinking. Increased interdisciplinary cross-fertilization and collaborations would enable novel and generative research on some of the long-standing questions surrounding attachment disorganization. Accordingly, we present an agenda for future research that encompasses contributions of modern ethology and neurobiology, novel hypotheses based on the concept of adaptive decanalization, connections with neurodevelopmental vulnerability and risk for mental disorders such as schizophrenia, and the possibility of sex differences in the behavioral manifestations of attachment disorganization. We believe that these avenues of theory and research offer exciting potential for innovative work in attachment disorganization in the years ahead.
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Affiliation(s)
- John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Marco Del Giudice
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Soha Khorsand
- Faculty of Science, Western University, London, Canada
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46
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Husain SF, Tang TB, Tam WW, Tran BX, Ho CS, Ho RC. Cortical haemodynamic response during the verbal fluency task in patients with bipolar disorder and borderline personality disorder: a preliminary functional near-infrared spectroscopy study. BMC Psychiatry 2021; 21:201. [PMID: 33879125 PMCID: PMC8056702 DOI: 10.1186/s12888-021-03195-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 04/02/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging modality that provides a direct and quantitative assessment of cortical haemodynamic response during a cognitive task. It may be used to identify neurophysiological differences between psychiatric disorders with overlapping symptoms, such as bipolar disorder (BD) and borderline personality disorder (BPD). Hence, this preliminary study aimed to compare the cerebral haemodynamic function of healthy controls (HC), patients with BD and patients with BPD. METHODS Twenty-seven participants (9 HCs, 9 patients with BD and 9 patients with BPD) matched for age, gender, ethnicity and education were recruited. Relative oxy-haemoglobin and deoxy-haemoglobin changes in the frontotemporal cortex was monitored with a 52-channel fNIRS system during a verbal fluency task (VFT). VFT performance, clinical history and symptom severity were also noted. RESULTS Compared to HCs, both patient groups had lower mean oxy-haemoglobin in the frontotemporal cortex during the VFT. Moreover, mean oxy-haemoglobin in the left inferior frontal region is markedly lower in patients with BPD compared to patients with BD. Task performance, clinical history and symptom severity were not associated with mean oxy-haemoglobin levels. CONCLUSIONS Prefrontal cortex activity is disrupted in patients with BD and BPD, but it is more extensive in BPD. These results provide further neurophysiological evidence for the separation of BPD from the bipolar spectrum. fNIRS could be a potential tool for assessing the frontal lobe function of patients who present with symptoms that are common to BD and BPD.
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Affiliation(s)
- Syeda Fabeha Husain
- grid.4280.e0000 0001 2180 6431Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, 117599 Singapore ,grid.4280.e0000 0001 2180 6431Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore
| | - Tong-Boon Tang
- grid.444487.f0000 0004 0634 0540Centre for Intelligent Signal and Imaging Research (CISIR), University Teknologi PETRONAS, Darul Ridzuan, 32610 Seri Iskandar, Perak Malaysia
| | - Wilson W. Tam
- grid.4280.e0000 0001 2180 6431Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597 Singapore
| | - Bach X. Tran
- grid.21107.350000 0001 2171 9311Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205 USA ,grid.56046.310000 0004 0642 8489Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, 116001 Vietnam ,grid.473736.20000 0004 4659 3737Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, 70000 Vietnam
| | - Cyrus S. Ho
- grid.4280.e0000 0001 2180 6431Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore
| | - Roger C. Ho
- grid.4280.e0000 0001 2180 6431Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, 117599 Singapore ,grid.4280.e0000 0001 2180 6431Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore
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Sinnaeve R, Vaessen T, van Diest I, Myin-Germeys I, van den Bosch LMC, Vrieze E, Kamphuis JH, Claes S. Investigating the stress-related fluctuations of level of personality functioning: A critical review and agenda for future research. Clin Psychol Psychother 2021; 28:1181-1193. [PMID: 33590556 DOI: 10.1002/cpp.2566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 01/28/2021] [Indexed: 12/14/2022]
Abstract
The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the International Classification of Diseases (ICD-11) proposed a dimensional approach to the assessment of personality disorders (PDs). Both models dictate that the clinician first determines PD severity before assessing maladaptive traits, invoking the level of personality functioning (LPF) construct. We consider LPF a promising dimensional construct for translational research because of its clinical importance and conceptual overlap with the Research Domain Criteria (RDoC) Social Processes. We aim to identify biomarkers that co-vary with fluctuations in LPF in adulthood, ultimately to predict persistent decrease in LPF, associated with suicidality and morbidity. However, a theoretical framework to investigate stress-related oscillations in LPF is currently missing. In this article, we aim to fill this hiatus with a critical review about stress and LPF. First, we discuss acute stress and LPF. We briefly present the basics of the neurophysiological stress response and review the literature on momentary and daily fluctuations in LPF, both at a subjective and physiological level. Second, we review the effects of chronic stress on brain function and social behaviour and recapitulate the main findings from prospective cohort studies. This review underlies our suggestions for multimethod assessment of stress-related oscillations in LPF and our theoretical framework for future longitudinal studies, in particular studies using the experience sampling method (ESM).
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Affiliation(s)
- Roland Sinnaeve
- University Psychiatric Center KU Leuven, Kortenberg, Belgium.,Department of Neurosciences, Mind Body Research, KU Leuven, Leuven, Belgium
| | - Thomas Vaessen
- Department of Neurosciences, Mind Body Research, KU Leuven, Leuven, Belgium.,Department of Neurosciences, Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Ilse van Diest
- Faculty of Psychology and Educational Sciences, Health Psychology Research Group, KU Leuven, Leuven, Belgium
| | - Inez Myin-Germeys
- Department of Neurosciences, Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | | | - Elske Vrieze
- University Psychiatric Center KU Leuven, Kortenberg, Belgium.,Department of Neurosciences, Mind Body Research, KU Leuven, Leuven, Belgium
| | - Jan Henk Kamphuis
- Faculty of Social and Behavioural Sciences, Programme group Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Stephan Claes
- University Psychiatric Center KU Leuven, Kortenberg, Belgium.,Department of Neurosciences, Mind Body Research, KU Leuven, Leuven, Belgium
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48
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Daedelow LS, Banaschewski T, Berning M, Bokde ALW, Brühl R, Burke Quinlan E, Curran HV, Desrivières S, Flor H, Grigis A, Garavan H, Hardon A, Kaminski J, Martinot JL, Paillère Martinot ML, Artiges E, Murray H, Nees F, Oei NYL, Papadopoulos Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Rosenthal A, Fröhner JH, Smolka MN, Walter H, Whelan R, Wiers RW, Schumann G, Heinz A. Are psychotic-like experiences related to a discontinuation of cannabis consumption in young adults? Schizophr Res 2021; 228:271-279. [PMID: 33493775 DOI: 10.1016/j.schres.2021.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 01/01/2021] [Accepted: 01/03/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVE To assess changes in cannabis use in young adults as a function of psychotic-like experiences. METHOD Participants were initially recruited at age 14 in high schools for the longitudinal IMAGEN study. All measures presented here were assessed at follow-ups at age 19 and at age 22, respectively. Perceived stress was only assessed once at age 22. Ever users of cannabis (N = 552) gave qualitative and quantitative information on cannabis use and psychotic-like experiences using the Community Assessment of Psychic Experiences (CAPE). Of those, nearly all n = 549 reported to have experienced at least one psychotic experience of any form at age 19. RESULTS Mean cannabis use increased from age 19 to 22 and age of first use of cannabis was positively associated with a change in cannabis use between the two time points. Change in cannabis use was not significantly associated with psychotic-like experiences at age 19 or 22. In exploratory analysis, we observed a positive association between perceived stress and the experience of psychotic experiences at age 22. CONCLUSION Age of first use of cannabis influenced trajectories of young cannabis users with later onset leading to higher increase, whereas the frequency of psychotic-like experiences was not associated with a change in cannabis use. The observed association between perceived stress and psychotic-like experiences at age 22 emphasizes the importance of stress experiences in developing psychosis independent of cannabis use.
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Affiliation(s)
- Laura S Daedelow
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Moritz Berning
- Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, the Netherlands
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, United Kingdom
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, London, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany; Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Anita Hardon
- Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, the Netherlands
| | - Jakob Kaminski
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; and Psychiatry Department 91G16, Orsay Hospital, France
| | - Hayley Murray
- Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, the Netherlands
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Nicole Y L Oei
- Research Priority Area (RPA) Yield, University of Amsterdam, Amsterdam, the Netherlands; Developmental Psychology (Addiction Development and Psychopathology ADAPT-lab), University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Brain and Cognition (ABC), University of Amsterdam, Amsterdam, the Netherlands
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario M6A 2E1, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Annika Rosenthal
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology, Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Reinout W Wiers
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS Amsterdam, the Netherlands
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, United Kingdom; PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Magdeburg, Germany, and Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, PR China
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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Arranz MJ, Gallego-Fabrega C, Martín-Blanco A, Soler J, Elices M, Dominguez-Clavé E, Salazar J, Vega D, Briones-Buixassa L, Pascual JC. A genome-wide methylation study reveals X chromosome and childhood trauma methylation alterations associated with borderline personality disorder. Transl Psychiatry 2021; 11:5. [PMID: 33414392 PMCID: PMC7791113 DOI: 10.1038/s41398-020-01139-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 12/02/2020] [Accepted: 12/07/2020] [Indexed: 02/06/2023] Open
Abstract
Borderline personality disorder (BPD) is a severe and highly prevalent psychiatric disorder, more common in females than in males and with notable differences in presentation between genders. Recent studies have shown that epigenetic modifications such as DNA methylation may modulate gene × environment interactions and impact on neurodevelopment. We conducted an epigenome wide study (Illumina Infinium HumanMethylation450k beadchip) in a group of BPD patients with (N = 49) and without (N = 47) childhood traumas and in a control group (N = 44). Results were confirmed in a replication cohort (N = 293 BPD patients and N = 114 controls) using EpiTYPER assays. Differentially methylated CpG sites were observed in several genes and intragenic regions in the X chromosome (PQBP1, ZNF41, RPL10, cg07810091 and cg24395855) and in chromosome 6 (TAP2). BPD patients showed significantly lower methylation levels in these CpG sites than healthy controls. These differences seemed to be increased by the existence of childhood trauma. Comparisons between BPD patients with childhood trauma and patients and controls without revealed significant differences in four genes (POU5F1, GGT6, TNFRSF13C and FAM113B), none of them in the X chromosome. Gene set enrichment analyses revealed that epigenetic alterations were more frequently found in genes controlling oestrogen regulation, neurogenesis and cell differentiation. These results suggest that epigenetic alterations in the X chromosome and oestrogen-regulation genes may contribute to the development of BPD and explain the differences in presentation between genders. Furthermore, childhood trauma events may modulate the magnitude of the epigenetic alterations contributing to BPD.
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Affiliation(s)
- María J. Arranz
- grid.414875.b0000 0004 1794 4956Fundació Docència i Recerca Mutua Terrassa, Terrassa, Spain ,grid.7722.00000 0001 1811 6966Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Cristina Gallego-Fabrega
- grid.414875.b0000 0004 1794 4956Fundació Docència i Recerca Mutua Terrassa, Terrassa, Spain ,grid.7722.00000 0001 1811 6966Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Ana Martín-Blanco
- grid.7722.00000 0001 1811 6966Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain ,grid.413396.a0000 0004 1768 8905Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain ,grid.7080.fDepartment of Psychiatry and Forensic Medicine & Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Joaquim Soler
- grid.7722.00000 0001 1811 6966Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain ,grid.413396.a0000 0004 1768 8905Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain ,grid.7080.fDepartment of Psychiatry and Forensic Medicine & Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Matilde Elices
- grid.7722.00000 0001 1811 6966Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain ,grid.413396.a0000 0004 1768 8905Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain ,grid.7080.fDepartment of Psychiatry and Forensic Medicine & Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Elisabet Dominguez-Clavé
- grid.413396.a0000 0004 1768 8905Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Juliana Salazar
- grid.7722.00000 0001 1811 6966Translational Medical Oncology Laboratory, Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Bellaterra, Spain
| | - Daniel Vega
- grid.7080.fDepartment of Psychiatry and Forensic Medicine & Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Spain ,Psychiatry and Mental Health Department, Hospital of Igualada, Consorci Sanitari de l’Anoia & Fundació Sanitària d’Igualada, Igualada, Spain
| | - Laia Briones-Buixassa
- Psychiatry and Mental Health Department, Hospital of Igualada, Consorci Sanitari de l’Anoia & Fundació Sanitària d’Igualada, Igualada, Spain
| | - Juan Carlos Pascual
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain. .,Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain. .,Department of Psychiatry and Forensic Medicine & Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Spain.
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50
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Yager J. Can Trans-Syndromal Prototypes ("Types") Improve Depiction of Complex Psychiatric Cases?: An Alternative Way to Consider Concordant Comorbid Psychiatric Disorders and Their Contexts as Coherent Units for Research, Assessment, and Treatment Planning. J Nerv Ment Dis 2021; 209:1-8. [PMID: 33141784 DOI: 10.1097/nmd.0000000000001261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND AIMS In many psychiatric settings, patients with complex cases are the rule rather than the exception. These cases are characterized by multidiagnostic conditions, often complicated with distressed social contexts, for which few if any evidence-based practice guidelines exist. The aim of this hypothesis-generating article is to consider whether and how these cases might comprise trans-syndromal prototypes ("types"), coherent units that could serve as the basis for further study, assessment, and treatment planning. METHODS For context, psychiatric and medical visit diagnoses and problem lists noted among principle visit diagnoses and "snapshot" portions of electronic medical records were tabulated for 293 psychiatric outpatients seen consecutively during a 1-week period at a university psychiatric clinic. By considering resulting comorbidity patterns in these records from the perspectives of clinicians caring for these patients, several commonly encountered diagnostic-problem sets emerged as candidate types. RESULTS Of 293 patients, only 18% had a single diagnosis, 43% had two, 29% had three, and 7% had four or more noted. Occurring in assorted combinations, specific diagnostic areas noted included depressive disorders (68%, the large majority major depressive disorder recurrent), anxiety disorders (60%, the large majority generalized anxiety disorder, with or without panic disorder and/or social anxiety disorder), posttraumatic stress disorder (22%), attention deficit hyperactivity disorder (ADHD) (17%), alcohol and substance abuse disorders (16%), personality disorders (11%), and bipolar disorders (18%). Several illustrative candidate types emerging from this population are described including major anxious depressive disorder, anxiety disorder secondary to ADHD, complex emotional instability disorder, multi-impulsive eating disorder, substance-dependent impoverished personality disorder, painful mood disorder, and complex personal and cultural trauma disorder. Other potential types are identified as well. CONCLUSIONS AND IMPLICATIONS The types described here are but a small selection, because other settings including community mental health centers, private practices, public and private hospitals, and forensic facilities see a variety of other types as well. The study of types might provide important findings about pathogenesis, course, outcome, and treatment to augment information obtained from examination of individual diagnostic components.
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Affiliation(s)
- Joel Yager
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, Colorado
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