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Bouter DC, Ravensbergen SJ, de Neve-Enthoven NGM, Ercan S, Bakker B, de Jong MH, Hoogendijk WJG, Grootendorst-van Mil NH. Combining the Risk: The Poly-Environmental Risk Score and Psychotic Symptoms in Adolescents. Schizophr Bull 2025:sbaf046. [PMID: 40227146 DOI: 10.1093/schbul/sbaf046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2025]
Abstract
BACKGROUND AND HYPOTHESIS Psychotic symptoms are common in adolescents and predictive of psychiatric disorders. Numerous risk factors have been shown to precede psychiatric disorders. However, investigating individual risk factors does not account for the cumulative effect these risk factors may have. Therefore, we combined well-researched environmental risk factors for psychotic disorder in a composite measure: the poly-environmental risk score (PERS). STUDY DESIGN Risk factors were assessed in a cohort of 801 adolescents (aged 15) at risk for psychopathology. Binarized risk factors included winter birth, low gestational age, low birth weight, ethnic minority status, urban living environment, cannabis use, victim of bullying, emotional abuse, physical abuse, sexual abuse, high paternal age, parental severe mental illness, parental divorce, and parental death. The PERS was weighted with the log odds derived from recent meta-analyses. At age 18, self-reported psychotic experiences (PE) and clinician-rated psychotic symptoms (PS) were assessed. This updated PERS was compared to previous PERS models, which included fewer risk factors and different weightings. STUDY RESULTS The PERS was associated with PE and PS. Specifically, a PERS between 3 and 4, and PERS > 4 corresponded with a 2.2- and 5.2-fold increase in the odds of psychotic symptoms in late adolescence. The updated 14-item PERS performed better compared to previous compositions of the PERS. CONCLUSIONS A composite score of childhood and adolescent risk factors measured at age 15 was associated with psychotic symptoms at age 18. Future research should consider the cumulative effect of risk factors when examining the determinants of psychopathology.
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Affiliation(s)
- Diandra C Bouter
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
| | - Susan J Ravensbergen
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
| | - Nita G M de Neve-Enthoven
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
| | - Sibel Ercan
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
| | - Benno Bakker
- Epidemiological and Social Psychiatric Research Institute (ESPRi), Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
- Parnassia Psychiatric Institute, 3009 AM, Rotterdam, The Netherlands
| | - Mark H de Jong
- Epidemiological and Social Psychiatric Research Institute (ESPRi), Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
- Yulius Mental Health, 3300 BA, Dordrecht, The Netherlands
| | - Witte J G Hoogendijk
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
| | - Nina H Grootendorst-van Mil
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
- Epidemiological and Social Psychiatric Research Institute (ESPRi), Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
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2
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Kambeitz J, Meyer-Lindenberg A. Modelling the impact of environmental and social determinants on mental health using generative agents. NPJ Digit Med 2025; 8:36. [PMID: 39820048 PMCID: PMC11739565 DOI: 10.1038/s41746-024-01422-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 12/26/2024] [Indexed: 01/19/2025] Open
Abstract
Mental health is shaped by socio-environmental determinants, yet traditional research approaches struggle to capture their complex interactions. This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environments for mental health research. We outline potential applications including the modelling of adverse life events, urbanicity, climate change, discuss potential challenges and describe how generative agents could transform mental health research.
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Affiliation(s)
- Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany
- German Centre for Mental Health (DZPG), Partner Site Heidelberg/Mannheim/Ulm, Mannheim, Germany
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3
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Wecker H, Svedbom A, Orrego FS, Ziehfreund S, Ståhle M, Zink A. Assessing the Comorbidity Cycle Between Psoriasis and Addiction Based on ICD Coding in the Stockholm Psoriasis Cohort. Acta Derm Venereol 2025; 105:adv41221. [PMID: 39749390 PMCID: PMC11697144 DOI: 10.2340/actadv.v105.41221] [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: 07/22/2024] [Accepted: 11/25/2024] [Indexed: 01/04/2025] Open
Abstract
The comorbidity cycle between psoriasis and addictions remains unclear. The study aimed to investigate the cumulative incidence of addictions in psoriasis patients and controls in the Stockholm Psoriasis Cohort (SPC). The SPC is an observational cohort study that enrolled psoriasis patients between 2001 and 2005 and matched controls using the Swedish Total Population Register. Data were complemented by medical records from 1987-2013, focusing on 11 addiction diagnoses and the date of their assignment. Overall, 4,545 individuals (56.4% female; median age: 40) were included: 722 psoriasis patients and 3,823 controls. Patients showed 1.4 times (95% confidence interval: 0.98-1.98) higher odds of addiction diagnosis than controls. Alcohol dependency was the most common addiction diagnosis (78.2%), which was more frequent in patients than in controls (94.3% vs 73.6%, p = 0.009). Furthermore, patients showed 4.3 times (1.85-11.56) higher odds of receiving an addiction diagnosis after their initial psoriasis diagnosis than before. Results showed a tendency towards a higher risk of addiction in psoriasis patients, suggesting potential psoriasis-triggered addictive behaviour. Nevertheless, both substance abuse triggering psoriasis and chronic psoriasis inflammation triggering addictions have to be considered. In both cases, addictive behaviour needs to be addressed in psoriasis healthcare as a driver for poor disease outcome and comorbidities.
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Affiliation(s)
- Hannah Wecker
- Technical University of Munich, TUM School of Medicine and Health, Department of Dermatology and Allergy, Munich, Germany
| | - Axel Svedbom
- Division of Dermatology and Venereology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Dermatology and Venereology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Fabio Sánchez Orrego
- Department of Clinical Neuroscience, Karolinska Institute and Metadonsektionen, Beroendecentrum Stockholm, Stockholm, Sweden
| | - Stefanie Ziehfreund
- Technical University of Munich, TUM School of Medicine and Health, Department of Dermatology and Allergy, Munich, Germany
| | - Mona Ståhle
- Division of Dermatology and Venereology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Alexander Zink
- Technical University of Munich, TUM School of Medicine and Health, Department of Dermatology and Allergy, Munich, Germany; Division of Dermatology and Venereology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
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4
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Miola A, Ercis M, Pazdernik VK, Fuentes Salgado M, Ortiz-Orendain J, Gardea-Reséndez M, Gruhlke PM, Michel I, Bostwick JM, McKean AJ, Vande Voort JL, Ozerdem A, Frye MA. Association between exposure to antidepressants and stimulants and age at onset of mania or psychosis: A retrospective population-based cohort study. Eur Neuropsychopharmacol 2024; 89:15-23. [PMID: 39226722 DOI: 10.1016/j.euroneuro.2024.07.015] [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: 02/28/2024] [Revised: 07/20/2024] [Accepted: 07/31/2024] [Indexed: 09/05/2024]
Abstract
This study investigated the impact of prior antidepressant and stimulant exposure on the age at onset (AAO) of first episode mania (FEM) or psychosis (FEP). Patients with FEP and FEM born after 1985 in Olmsted County, Minnesota, were identified using the Rochester Epidemiology Project. Duration and peak dose of antidepressant and stimulant exposure were quantified by review of the electronic health record. Peak doses were converted to defined daily dose (DDD), and cumulative exposure was calculated as DDD multiplied by treatment duration. Linear models were used to assess relationships between AAO with any exposures, and cumulative antidepressant and stimulant exposures. A total of 190 FEM/FEP patients (mean AAO=20.8 ± 3.7 years) were included. There was no significant difference in AAO with vs. without exposure to antidepressants or stimulants. Cumulative antidepressant exposure correlated with a later AAO in overall sample (r = 0.28, p < 0.001), and in FEP (r = 0.33, p < 0.001). No significant correlation emerged between cumulative stimulant exposure and AAO. Multivariable modeling confirmed that cumulative antidepressant exposure (Estimate=2.42, 95 %CI=1.66-3.18, p < 0.001), but not cumulative stimulant exposure (Estimate=-0.04, 95 %CI=-1.10-1.02, p = 0.94), was associated with later AAO. Antidepressant and stimulant exposures were not associated with earlier AAO. However, cumulative antidepressant exposure was associated with later AAO. Limitations include retrospective design and relatively small sample size. Our findings may inform adolescent treatment recommendations when assessing risk for psychotropic-related adverse events. Further risk modeling investigations of antidepressants and stimulants with larger sample sizes are needed to explore the role of antidepressant and stimulant exposure in the trajectory leading to FEM/FEP.
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Affiliation(s)
- Alessandro Miola
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Mete Ercis
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Manuel Fuentes Salgado
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Neurology and Psychiatry, Clinica Alemana de Santiago, Chile
| | - Javier Ortiz-Orendain
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA
| | - Manuel Gardea-Reséndez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Peggy M Gruhlke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Ian Michel
- Mayo Clinic Alix School of Medicine, Rochester, MN, USA
| | | | - Alastair J McKean
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
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5
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Forte MF, Oliva V, De Prisco M, Garriga M, Bitanihirwe B, Alameda L, González-Segura À, Vieta E, Baeza I, Parellada E, Penadés R, Ramos-Quiroga JA, Amoretti S, Mezquida G, Garcia-Rizo C. Obstetric complications and psychopathology in schizophrenia: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 167:105913. [PMID: 39362417 DOI: 10.1016/j.neubiorev.2024.105913] [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: 07/10/2024] [Revised: 09/16/2024] [Accepted: 09/29/2024] [Indexed: 10/05/2024]
Abstract
Schizophrenia (SZ) is a severe mental health condition involving gene-environment interactions, with obstetric complications (OCs) conferring an elevated risk for the disease. Current research suggests that OCs may exacerbate SZ symptoms. This study conducted a systematic review and meta-analysis to comprehensively evaluate differences in psychopathology between individuals with and without exposure to OCs in relation to SZ and related disorders. We systematically searched PubMed, PsycINFO, and SCOPUS to identify eligible studies. A total of 4091 records were retrieved through systematic and citation searches. 14 studies were included in the review, and 12 met the criteria for meta-analysis, involving 2992 patients. The analysis revealed that SZ patients who had been exposed to OCs exhibited significantly higher levels of positive symptoms (SMD=0.10, 95 %CI=0.01,0.20; p=0.03), general psychopathology (SMD=0.37, 95 %CI=0.22,0.52; p<0.001), total clinical symptomatology (SMD=0.44, 95 %CI=0.24,0.64; p<0.001) and depressive symptoms (SMD=0.47, 95 %CI=0.09,0.84; p=0.01). No significant differences were found in negative symptomatology and functioning. Our results suggest that OCs are not only associated with an increased risk of developing psychosis but with more severe symptomatology.
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Affiliation(s)
- Maria Florencia Forte
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Spain
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Byron Bitanihirwe
- Department of Psychiatry, University of Nairobi, Kenya; The Science for Africa Foundation, Nairobi, Kenya
| | - Luis Alameda
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Departamento de Psiquiatría, Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Spain
| | - Àlex González-Segura
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Inmaculada Baeza
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic de Barcelona, Spain
| | - Eduard Parellada
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Penadés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - J Antoni Ramos-Quiroga
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Deparment of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Group of Psychiatry, Mental Health and Addictions, Valld'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Group of Psychiatry, Mental Health and Addictions, Valld'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain.
| | - Gisela Mezquida
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Serra-Hunter Lecturer Fellow, Department of Basic Clinal Practice, Pharmacology Unit, Universitat de Barcelona (UB), Spain.
| | - Clemente Garcia-Rizo
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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Mascayano F, Lee J, Yang X, Li Z, Casanueva R, Hernández V, Burgos J, Florence AC, Yang LH, Susser E. Defining Urbanicity in the Context of Psychosis Research: A Qualitative Systematic Literature Review. Schizophr Bull 2024:sbae157. [PMID: 39393024 DOI: 10.1093/schbul/sbae157] [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: 10/13/2024]
Abstract
BACKGROUND AND HYPOTHESIS Numerous studies have found that being born or raised in urban environments increases the odds of developing psychosis in Northern and Western Europe. However, available research from Southern Europe, Latin America, and Asia has reported null results. A limitation in most studies to date is the inadequate characterization of urban and rural life components that may contribute to varying psychosis risk across regions. STUDY DESIGN To deepen our understanding of the different concepts and measures of urbanicity and related factors in psychosis research, we conducted a qualitative systematic literature review extracting information from studies published between 2000 and 2024. STUDY RESULTS Sixty-one articles met the inclusion and exclusion criteria and were used in the thematic analysis. The analysis revealed that urbanicity lacked a single, coherent definition across studies and regions. Three major categories of themes were developed from the analysis: (1) Urbanicity comprises several interconnected constructs, (2) Urbanicity measurements vary between countries from the Global North and the Global South, and (3) Urbanicity operates through key neighborhood-level mechanisms. CONCLUSIONS Future research on urbanicity and psychosis should consider the potential limitations of urbanicity's conceptualization and operationalization and aim to address these limitations by focusing on contextual, historical, and community-level factors, utilizing locally validated measures, and employing mixed-method designs.
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Affiliation(s)
- Franco Mascayano
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Behavioral Health Services and Policy Research, New York State Psychiatric Institute, New York, NY, USA
- Global Mental Health Program, Institute of Public Health, Universidad Nacional Andres Bello, Santiago, Chile
| | - Jiwon Lee
- Center for the Treatment and Study of Anxiety, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xinyu Yang
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Zeyu Li
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rodrigo Casanueva
- Global Mental Health Program, Institute of Public Health, Universidad Nacional Andres Bello, Santiago, Chile
| | - Viviana Hernández
- División de Prevención y Control de Enfermedades, Ministerio de Salud, Santiago, Chile
| | - Javiera Burgos
- División de Prevención y Control de Enfermedades, Ministerio de Salud, Santiago, Chile
| | - Ana Carolina Florence
- Division of Behavioral Health Services and Policy Research, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Lawrence H Yang
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, NY, USA
| | - Ezra Susser
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Behavioral Health Services and Policy Research, New York State Psychiatric Institute, New York, NY, USA
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7
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Lemvigh CK, Ambrosen KS, Ebdrup BH, Glenthøj BY, Osler M, Fagerlund B. Impact of early risk factors on schizophrenia risk and age of diagnosis: A Danish population-based register study. Eur Psychiatry 2024; 67:e64. [PMID: 39344850 PMCID: PMC11536204 DOI: 10.1192/j.eurpsy.2024.1774] [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: 02/26/2024] [Revised: 06/19/2024] [Accepted: 07/10/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND While several risk factors for schizophrenia have been identified, their individual impacts are rather small. The relative independent and cumulative impacts of multiple risk factors on disease risk and age of onset warrant further investigation. STUDY DESIGN We conducted a register-based case-control study including all individuals receiving a schizophrenia spectrum disorder in Denmark from 1973 to 2018 (N = 29,142), and a healthy control sample matched 5:1 on age, sex, and parental socioeconomic status (N = 136,387). Register data included parental history of psychiatric illness, birth weight, gestational age, season of birth, population density of birthplace, immigration, paternal age, and Apgar scores. Data were analysed using logistic regression and machine learning. RESULTS Parental history of psychiatric illness (OR = 2.32 [95%CI 2.21-2.43]), high paternal age (OR = 1.30 [1.16-1.45]), and low birth weight (OR = 1.28 [1.16-1.41]) increased the odds of belonging to the patient group. In contrast, being a second-generation immigrant (OR = 0.65 [0.61-0.69]) and high population density of the birthplace (OR = 0.92 [0.89-0.96]) decreased the odds. The findings were supported by a decision tree analysis where parental history, paternal age, and birth weight contributed most to diagnostic classification (ACCtest = 0.69, AUCtest = 0.59, p < 0.001). Twenty percent of patients were child-onset cases. Here, female sex (OR = 1.82 [1.69-1.97]) and parental psychiatric illness (OR = 1.62 [1.49-1.77]) increased the odds of receiving the diagnosis <18 years. CONCLUSION Multiple early factors contribute independently to a higher psychosis risk, suggesting cumulative effects leading to symptom onset. Routine assessments of the most influential risk factors could be incorporated into clinical practise. Being female increased the risk of diagnosis during childhood, suggesting sex differences in the developmental trajectories of the disorder.
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Affiliation(s)
- Cecilie K. Lemvigh
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Karen S. Ambrosen
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Bjørn H. Ebdrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Birte Y. Glenthøj
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Osler
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Fagerlund
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Social Sciences, Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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8
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Rami FZ, Li L, Le TH, Kang C, Han MA, Chung YC. Risk and protective factors for severe mental disorders in Asia. Neurosci Biobehav Rev 2024; 161:105652. [PMID: 38608827 DOI: 10.1016/j.neubiorev.2024.105652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024]
Abstract
Among 369 diseases and injuries, the years lived with disability (YLDs) and disability-adjusted life-years (DALYs) rates for severe mental illnesses (SMIs) are within the top 20 %. Research on risk and protective factors for SMIs is critically important, as acting on modifiable factors may reduce their incidence or postpone their onset, while early detection of new cases enables prompt treatment and improves prognosis. However, as most of the studies on these factors are from Western countries, the findings are not generalizable across ethnic groups. This led us to conduct a systematic review of the risk and protective factors for SMIs identified in Asian studies. There were common factors in Asian and Western studies and unique factors in Asian studies. In-depth knowledge of these factors could help reduce disability, and the economic and emotional burden of SMIs. We hope that this review will inform future research and policy-making on mental health in Asian countries.
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Affiliation(s)
- Fatima Zahra Rami
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Ling Li
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Thi Hung Le
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Chaeyeong Kang
- Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Mi Ah Han
- Department of Preventive Medicine, College of Medicine, Chosun University, Republic of Korea
| | - Young-Chul Chung
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
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9
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Benrimoh D, Dlugunovych V, Wright AC, Phalen P, Funaro MC, Ferrara M, Powers AR, Woods SW, Guloksuz S, Yung AR, Srihari V, Shah J. On the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis. Mol Psychiatry 2024; 29:1361-1381. [PMID: 38302562 DOI: 10.1038/s41380-024-02415-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Preventing or delaying the onset of psychosis requires identification of those at risk for developing psychosis. For predictive purposes, the prodrome - a constellation of symptoms which may occur before the onset of psychosis - has been increasingly recognized as having utility. However, it is unclear what proportion of patients experience a prodrome or how this varies based on the multiple definitions used. METHODS We conducted a systematic review and meta-analysis of studies of patients with psychosis with the objective of determining the proportion of patients who experienced a prodrome prior to psychosis onset. Inclusion criteria included a consistent prodrome definition and reporting the proportion of patients who experienced a prodrome. We excluded studies of only patients with a prodrome or solely substance-induced psychosis, qualitative studies without prevalence data, conference abstracts, and case reports/case series. We searched Ovid MEDLINE, Embase (Ovid), APA PsycInfo (Ovid), Web of Science Core Collection (Clarivate), Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, APA PsycBooks (Ovid), ProQuest Dissertation & Thesis, on March 3, 2021. Studies were assessed for quality using the Critical Appraisal Checklist for Prevalence Studies. Narrative synthesis and proportion meta-analysis were used to estimate prodrome prevalence. I2 and predictive interval were used to assess heterogeneity. Subgroup analyses were used to probe sources of heterogeneity. (PROSPERO ID: CRD42021239797). RESULTS Seventy-one articles were included, representing 13,774 patients. Studies varied significantly in terms of methodology and prodrome definition used. The random effects proportion meta-analysis estimate for prodrome prevalence was 78.3% (95% CI = 72.8-83.2); heterogeneity was high (I2 97.98% [95% CI = 97.71-98.22]); and the prediction interval was wide (95% PI = 0.411-0.936). There were no meaningful differences in prevalence between grouped prodrome definitions, and subgroup analyses failed to reveal a consistent source of heterogeneity. CONCLUSIONS This is the first meta-analysis on the prevalence of a prodrome prior to the onset of first episode psychosis. The majority of patients (78.3%) were found to have experienced a prodrome prior to psychosis onset. However, findings are highly heterogenous across study and no definitive source of heterogeneity was found despite extensive subgroup analyses. As most studies were retrospective in nature, recall bias likely affects these results. While the large majority of patients with psychosis experience a prodrome in some form, it is unclear if the remainder of patients experience no prodrome, or if ascertainment methods employed in the studies were not sensitive to their experiences. Given widespread investment in indicated prevention of psychosis through prospective identification and intervention during the prodrome, a resolution of this question as well as a consensus definition of the prodrome is much needed in order to effectively direct and organize services, and may be accomplished through novel, densely sampled and phenotyped prospective cohort studies that aim for representative sampling across multiple settings.
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Affiliation(s)
- David Benrimoh
- PEPP-Montréal, Department of Psychiatry and Douglas Research Center, McGill University, Montreal, QC, Canada.
- Department of Psychiatry, Stanford University, Stanford, CA, USA.
| | | | - Abigail C Wright
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Peter Phalen
- Division of Psychiatric Services Research, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa C Funaro
- Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT, USA
| | - Maria Ferrara
- Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
- Specialized Treatment Early in Psychosis Program (STEP), Yale School of Medicine, New Haven, CT, USA
| | - Albert R Powers
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Scott W Woods
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Sinan Guloksuz
- Specialized Treatment Early in Psychosis Program (STEP), Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry and Neuropsychology Maastricht University Medical Center, Maastricht, Netherlands
| | - Alison R Yung
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Melbourne, Australia
| | - Vinod Srihari
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Jai Shah
- PEPP-Montréal, Department of Psychiatry and Douglas Research Center, McGill University, Montreal, QC, Canada
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10
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Cuesta MJ, Papiol S, Ibañez B, García de Jalón E, Sánchez-Torres AM, Gil-Berrozpe GJ, Moreno-Izco L, Zarzuela A, Fañanás L, Peralta V. Effect of polygenic risk score, family load of schizophrenia and exposome risk score, and their interactions, on the long-term outcome of first-episode psychosis. Psychol Med 2023; 53:6838-6847. [PMID: 36876482 DOI: 10.1017/s0033291723000351] [Citation(s) in RCA: 2] [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: 03/07/2023]
Abstract
BACKGROUND Consistent evidence supports the involvement of genetic and environmental factors, and their interactions, in the etiology of psychosis. First-episode psychosis (FEP) comprises a group of disorders that show great clinical and long-term outcome heterogeneity, and the extent to which genetic, familial and environmental factors account for predicting the long-term outcome in FEP patients remains scarcely known. METHODS The SEGPEPs is an inception cohort study of 243 first-admission patients with FEP who were followed-up for a mean of 20.9 years. FEP patients were thoroughly evaluated by standardized instruments, with 164 patients providing DNA. Aggregate scores estimated in large populations for polygenic risk score (PRS-Sz), exposome risk score (ERS-Sz) and familial load score for schizophrenia (FLS-Sz) were ascertained. Long-term functioning was assessed by means of the Social and Occupational Functioning Assessment Scale (SOFAS). The relative excess risk due to interaction (RERI) was used as a standard method to estimate the effect of interaction of risk factors. RESULTS Our results showed that a high FLS-Sz gave greater explanatory capacity for long-term outcome, followed by the ERS-Sz and then the PRS-Sz. The PRS-Sz did not discriminate significantly between recovered and non-recovered FEP patients in the long term. No significant interaction between the PRS-Sz, ERS-Sz or FLS-Sz regarding the long-term functioning of FEP patients was found. CONCLUSIONS Our results support an additive model of familial antecedents of schizophrenia, environmental risk factors and polygenic risk factors as contributors to a poor long-term functional outcome for FEP patients.
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Affiliation(s)
- M J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - S Papiol
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, 80336, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - B Ibañez
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Navarrabiomed - Hospital Universitario de Navarra - UPNA, Pamplona, Spain
- Red de Investigación en Atención Primaria, Servicios Sanitarios y Cronicidad (RICAPPS), Barcelona, Spain
| | - E García de Jalón
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - A M Sánchez-Torres
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - G J Gil-Berrozpe
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - L Moreno-Izco
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - A Zarzuela
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - L Fañanás
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Biomedicine Institute of the University of Barcelona (IBUB), Barcelona, Spain
| | - V Peralta
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
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11
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Murlanova K, Pletnikov MV. Modeling psychotic disorders: Environment x environment interaction. Neurosci Biobehav Rev 2023; 152:105310. [PMID: 37437753 DOI: 10.1016/j.neubiorev.2023.105310] [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: 12/14/2022] [Revised: 06/26/2023] [Accepted: 07/05/2023] [Indexed: 07/14/2023]
Abstract
Schizophrenia is a major psychotic disorder with multifactorial etiology that includes interactions between genetic vulnerability and environmental risk factors. In addition, interplay of multiple environmental adversities affects neurodevelopment and may increase the individual risk of developing schizophrenia. Consistent with the two-hit hypothesis of schizophrenia, we review rodent models that combine maternal immune activation as the first hit with other adverse environmental exposures as the second hit. We discuss the strengths and pitfalls of the current animal models of environment x environment interplay and propose some future directions to advance the field.
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Affiliation(s)
- Kateryna Murlanova
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Mikhail V Pletnikov
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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12
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O'Hare K, Watkeys O, Whitten T, Dean K, Laurens KR, Harris F, Carr VJ, Green MJ. Cumulative environmental risk in early life is associated with mental disorders in childhood. Psychol Med 2023; 53:4762-4771. [PMID: 35866367 DOI: 10.1017/s0033291722001702] [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] [Indexed: 11/05/2022]
Abstract
BACKGROUND No single environmental factor is a necessary or sufficient cause of mental disorder; multifactorial and transdiagnostic approaches are needed to understand the impact of the environment on the development of mental disorders across the life course. METHOD Using linked multi-agency administrative data for 71 932 children from the New South Wales Child Developmental Study, using logistic regression, we examined associations between 16 environmental risk factors in early life (prenatal period to <6 years of age) and later diagnoses of mental disorder recorded in health service data (from age 6 to 13 years), both individually and summed as an environmental risk score (ERS). RESULTS The ERS was associated with all types of mental disorder diagnoses in a dose-response fashion, such that 2.8% of children with no exposure to any of the environmental factors (ERS = 0), compared to 18.3% of children with an ERS of 8 or more indicating exposure to 8 or more environmental factors (ERS ⩾ 8), had been diagnosed with any type of mental disorder up to age 13-14 years. Thirteen of the 16 environmental factors measured (including prenatal factors, neighbourhood characteristics and more proximal experiences of trauma or neglect) were positively associated with at least one category of mental disorder. CONCLUSION Exposure to cumulative environmental risk factors in early life is associated with an increased likelihood of presenting to health services in childhood for any kind of mental disorder. In many instances, these factors are preventable or capable of mitigation by appropriate public policy settings.
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Affiliation(s)
- Kirstie O'Hare
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Oliver Watkeys
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Tyson Whitten
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- School of Social Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Kimberlie Dean
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Justice Health and Forensic Mental Health Network, Sydney, New South Wales, Australia
| | - Kristin R Laurens
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- School of Psychology and Counselling, Queensland University of Technology (QUT), Brisbane, Australia
| | - Felicity Harris
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Vaughan J Carr
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
- Department of Psychiatry, Monash University, Melbourne, Australia
| | - Melissa J Green
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
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13
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Zhan N, Sham PC, So HC, Lui SSY. The genetic basis of onset age in schizophrenia: evidence and models. Front Genet 2023; 14:1163361. [PMID: 37441552 PMCID: PMC10333597 DOI: 10.3389/fgene.2023.1163361] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
Schizophrenia is a heritable neurocognitive disorder affecting about 1% of the population, and usually has an onset age at around 21-25 in males and 25-30 in females. Recent advances in genetics have helped to identify many common and rare variants for the liability to schizophrenia. Earlier evidence appeared to suggest that younger onset age is associated with higher genetic liability to schizophrenia. Clinical longitudinal research also found that early and very-early onset schizophrenia are associated with poor clinical, neurocognitive, and functional profiles. A recent study reported a heritability of 0.33 for schizophrenia onset age, but the genetic basis of this trait in schizophrenia remains elusive. In the pre-Genome-Wide Association Study (GWAS) era, genetic loci found to be associated with onset age were seldom replicated. In the post-Genome-Wide Association Study era, new conceptual frameworks are needed to clarify the role of onset age in genetic research in schizophrenia, and to identify its genetic basis. In this review, we first discussed the potential of onset age as a characterizing/subtyping feature for psychosis, and as an important phenotypic dimension of schizophrenia. Second, we reviewed the methods, samples, findings and limitations of previous genetic research on onset age in schizophrenia. Third, we discussed a potential conceptual framework for studying the genetic basis of onset age, as well as the concepts of susceptibility, modifier, and "mixed" genes. Fourth, we discussed the limitations of this review. Lastly, we discussed the potential clinical implications for genetic research of onset age of schizophrenia, and how future research can unveil the potential mechanisms for this trait.
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Affiliation(s)
- Na Zhan
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Pak C. Sham
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Centre of PanorOmic Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Kunming Institute of Zoology and the Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, Shenzhen, China
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Hong Kong Branch of the Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Simon S. Y. Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
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14
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Bruhn C. Juveniler Cannabis-Gebrauch: Äußerst riskant. MMW Fortschr Med 2023; 165:16-17. [PMID: 37258818 DOI: 10.1007/s15006-023-2734-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Affiliation(s)
- Claudia Bruhn
- Medizin-Journalistin, Apothekerin, Josef-Nawrocki-Str. 36 E, 12587, Berlin, Germany
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15
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Zahra Rami F, Kim WS, Shen J, Tsogt U, Odkhuu S, Cheraghi S, Kang C, Chung YC. Differential effects of parental socioeconomic status on cortical thickness in patients with schizophrenia spectrum disorders and healthy controls. Neurosci Lett 2023; 804:137239. [PMID: 37031942 DOI: 10.1016/j.neulet.2023.137239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 03/06/2023] [Accepted: 04/06/2023] [Indexed: 04/11/2023]
Abstract
OBJECTIVES Widespread changes in cortical thickness (CT) have been repeatedly reported in schizophrenia (SZ). The nature of the pathophysiologic process underlying such changes remains to be elucidated. The aims of the present study were to measure the CT; evaluate parent socioeconomic status (pSES), childhood trauma (ChT) and premorbid adjustment (PA) in patients with schizophrenia spectrum disorders (SSDs); and investigate group differences in CT (i.e., SSD vs. healthy controls (HCs)), pSES, PA, and/or ChT, as well as the interactions among these factors. METHODS 164 patients with SSD and 245 age-, sex- and education-matched healthy controls have participated. The pSES, ChT and PA were evaluated using Korean version of Polyenvironmental Risk Score, Early Trauma Inventory Self Report-Short Form and Premorbid Adjustment Scale, respectively. Vertex-wise measure of CT was estimated using the FreeSurfer. To investigate the main effects and interactions, multilevel regression was employed. RESULTS We found widespread cortical thinning in patients with SSDs compared to HCs. The cortical thinning was associated with ChT, symptom severity and chlorpromazine equivalent dose and duration of illness in patients. In multilevel regression, main effects of group and pSES and interaction between group and pSES were found whereas a significant interaction between ChT and CPZ equivalent was found in patients. CONCLUSION Our findings indicate that compared to HCs, patients with SSDs have cortical structural abnormalities, and that group and pSES interaction determines CT. Further studies are needed to explore the effects of psychosocial factors on brain structural and functional abnormalities in SZ.
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Affiliation(s)
- Fatima Zahra Rami
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Woo-Sung Kim
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Jie Shen
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Uyanga Tsogt
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Soyolsaikhan Odkhuu
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Sahar Cheraghi
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Chaeyeong Kang
- Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Young-Chul Chung
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University and Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
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16
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O’Hare K, Watkeys O, Whitten T, Dean K, Laurens KR, Tzoumakis S, Harris F, Carr VJ, Green MJ. Cumulative Environmental Risk in Early Life: Associations With Schizotypy in Childhood. Schizophr Bull 2023; 49:244-254. [PMID: 36302227 PMCID: PMC10016419 DOI: 10.1093/schbul/sbac160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND AND HYPOTHESIS Psychotic disorders are associated with a growing number of recognized environmental exposures. Cumulative exposure to multiple environmental risk factors in childhood may contribute to the development of different patterns of schizotypy evident in early life. Hypotheses were that distinct profiles of schizotypy would have differential associations with a cumulative score of environmental risk factors. STUDY DESIGN We prospectively examined the relationship between 19 environmental exposures (which had demonstrated replicated associations with psychosis) measured from the prenatal period through to age 11 years, and 3 profiles of schizotypy in children (mean age = 11.9 years, n = 20 599) that have been established in population data from the New South Wales-Child Development Study. Multinomial logistic regression was used to examine associations between membership in each of 3 schizotypy profiles (true schizotypy, introverted schizotypy, and affective schizotypy) and exposure to a range of 19 environmental risk factors for psychosis (both individually and summed as a cumulative environmental risk score [ERS]), relative to children showing no risk. RESULTS Almost all environmental factors were associated with at least 1 schizotypy profile. The cumulative ERS was most strongly associated with the true schizotypy profile (OR = 1.61, 95% CI = 1.52-1.70), followed by the affective (OR = 1.33, 95% CI = 1.28-1.38), and introverted (OR = 1.32, 95% CI = 1.28-1.37) schizotypy profiles. CONCLUSIONS Consistent with the cumulative risk hypothesis, results indicate that an increased number of risk exposures is associated with an increased likelihood of membership in the 3 schizotypy profiles identified in middle childhood, relative to children with no schizotypy profile.
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Affiliation(s)
- Kirstie O’Hare
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Oliver Watkeys
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Tyson Whitten
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- School of Social Sciences, University of Adelaide, South Australia, Australia
| | - Kimberlie Dean
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Justice Health and Forensic Mental Health Network, Sydney, New South Wales, Australia
| | - Kristin R Laurens
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Queensland University of Technology (QUT), School of Psychology and Counselling, Brisbane, Australia
| | - Stacy Tzoumakis
- School of Criminology and Criminal Justice, Griffith University, Southport, Australia
- Griffith Criminology Institute, Griffith University, Southport, Australia
| | - Felicity Harris
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Vaughan J Carr
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
- Department of Psychiatry, Monash University, Melbourne, Australia
| | - Melissa J Green
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
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17
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Lemvigh C, Brouwer R, Hilker R, Anhøj S, Baandrup L, Pantelis C, Glenthøj B, Fagerlund B. The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: a combined register-based and clinical twin study. Psychol Med 2023; 53:1266-1276. [PMID: 35822354 DOI: 10.1017/s0033291721002749] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. METHODS Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. RESULTS The PRS [odds ratio (OR) 1.6 (1.1-2.3)], childhood trauma [OR 4.5 (2.3-8.8)], and regular cannabis use [OR 8.3 (2.1-32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03-0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1-10.4)]. CONCLUSION The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.
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Affiliation(s)
- C Lemvigh
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Brouwer
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - R Hilker
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - S Anhøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
| | - L Baandrup
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Mental Health Center Copenhagen, Copenhagen NV, Denmark
| | - C Pantelis
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - B Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - B Fagerlund
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
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18
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Yu S, Zhang C, Wang Y, Liu T, Chen X, Guo J, Zhang G, Xu W. Parental neglect, anxious attachment, perceived social support, and mental health among Chinese college students with left-behind experience: A longitudinal study. Psych J 2023; 12:150-160. [PMID: 36223893 DOI: 10.1002/pchj.611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
The harm of childhood parental neglect to emerging adults' maladjustment has garnered empirical support. For college students who have left-behind experience (LBE), this relationship is rarely discussed and the psychological process underlying this relationship is not well understood. Using a longitudinal study and guided by the Risky Families model, this study aimed to explore the mediating roles of anxious attachment and perceived social support in the link between parental neglect and maladjustment of LBE college students. We used two-wave longitudinal data, with a time lag of 3 months, collected among Chinese college students with LBE in Chongqing (N = 391). The results revealed that parental neglect in wave one was positively associated with maladjustment (depression, anxiety, and stress) in wave two. Anxious attachment and perceived social support in wave two separately mediated the relationship between parental neglect in wave one and maladjustment in wave two. Anxious attachment and perceived social support in wave two only sequentially mediated the pathway from parental neglect to later depression. These findings emphasize the importance of anxious attachment and social support in resilience and have significant implications for LBE college students' social work practice in China.
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Affiliation(s)
- Si Yu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Chunyang Zhang
- China Academy of Civil Aviation Science and Technology, Beijing, China
| | - Yi Wang
- Department of Linguistics, University of Victoria, Victoria, Canada
| | - Tianyuan Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Xiaoxi Chen
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Jiaxin Guo
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Gaozheng Zhang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Wei Xu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China.,School of Psychology, Nanjing Normal University, Nanjing, China
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19
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Braun A, Kraft J, Ripke S. Study protocol of the Berlin Research Initiative for Diagnostics, Genetics and Environmental Factors in Schizophrenia (BRIDGE-S). BMC Psychiatry 2023; 23:31. [PMID: 36635663 PMCID: PMC9835268 DOI: 10.1186/s12888-022-04447-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 12/05/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Large-scale collaborative efforts in the field of psychiatric genetics have made substantial progress in unraveling the biological architecture of schizophrenia (SCZ). Although both genetic and environmental factors are known to play a role in schizophrenia etiology our mechanistic understanding of how they shape risk, resilience and disease trajectories remains limited. METHODS Here, we present the study protocol of the Berlin Research Initiative for Diagnostics, Genetic and Environmental Factors of Schizophrenia (BRIDGE-S), which aims to collect a densely phenotyped genetic cohort of 1,000 schizophrenia cases and 1,000 controls. The study's main objectives are to build a resource for i) promoting genetic discoveries and ii) genotype-phenotype associations to infer specific disease subtypes, and iii) exploring gene-environment interactions using polyrisk models. All subjects provide a biological sample for genotyping and complete a core questionnaire capturing a variety of environmental exposures, demographic, psychological and health data. Approximately 50% of individuals in the sample will further undergo a comprehensive clinical and neurocognitive assessment. DISCUSSION With BRIDGE-S we created a valuable database to study genomic and environmental contributions to schizophrenia risk, onset, and outcomes. Results of the BRIDGE-S study could yield insights into the etiological mechanisms of schizophrenia that could ultimately inform risk prediction, and early intervention and treatment strategies.
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Affiliation(s)
- Alice Braun
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Julia Kraft
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. .,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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20
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Paquin V, Pries LK, Ten Have M, Bak M, Gunther N, de Graaf R, van Dorsselaer S, Lin BD, van Eijk KR, Kenis G, Richards A, O'Donovan MC, Luykx JJ, Rutten BPF, van Os J, Shah JL, Guloksuz S. Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population. Soc Psychiatry Psychiatr Epidemiol 2023; 58:43-52. [PMID: 35913550 PMCID: PMC9845157 DOI: 10.1007/s00127-022-02346-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/19/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE The health correlates of polygenic risk (PRS-SCZ) and exposome (ES-SCZ) scores for schizophrenia may vary depending on age and sex. We aimed to examine age- and sex-specific associations of PRS-SCZ and ES-SCZ with self-reported health in the general population. METHODS Participants were from the population-based Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2). Mental and physical health were measured with the 36-item Short Form Survey 4 times between 2007 and 2018. The PRS-SCZ and ES-SCZ were respectively calculated from common genetic variants and exposures (cannabis use, winter birth, hearing impairment, and five childhood adversity categories). Moderation by age and sex was examined in linear mixed models. RESULTS For PRS-SCZ and ES-SCZ analyses, we included 3099 and 6264 participants, respectively (age range 18-65 years; 55.7-56.1% female). Age and sex did not interact with PRS-SCZ. Age moderated the association between ES-SCZ and mental (interaction: p = 0.02) and physical health (p = 0.0007): at age 18, + 1.00 of ES-SCZ was associated with - 0.10 of mental health and - 0.08 of physical health, whereas at age 65, it was associated with - 0.21 and - 0.23, respectively (all units in standard deviations). Sex moderated the association between ES-SCZ and physical health (p < .0001): + 1.00 of ES-SCZ was associated with - 0.19 of physical health among female and - 0.11 among male individuals. CONCLUSION There were larger associations between higher ES-SCZ and poorer health among female and older individuals. Accounting for these interactions may increase ES-SCZ precision and help uncover populational determinants of environmental influences on health.
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Affiliation(s)
- Vincent Paquin
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands
| | - Margreet Ten Have
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Maarten Bak
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands.,FACT, Mondriaan Mental Health, Maastricht, The Netherlands
| | - Nicole Gunther
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands.,School of Psychology, Open University, Heerlen, The Netherlands
| | - Ron de Graaf
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Saskia van Dorsselaer
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Bochao D Lin
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands.,Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands.,Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands
| | - Kristel R van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands
| | - Alexander Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Michael C O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Jurjen J Luykx
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands.,Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands.,Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands.,GGNet Mental Health, Warnsveld, The Netherlands
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands.,Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.,Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands.,Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands.,Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - Jai L Shah
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Centre, Vijverdalseweg 1, SN.2.068, P.O.Box 616 6200, Maastricht, MD, The Netherlands. .,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
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21
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Bruhn C. [Not Available]. MMW Fortschr Med 2022; 164:33. [PMID: 36195793 DOI: 10.1007/s15006-022-1950-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- Claudia Bruhn
- Medizin-Journalistin, Apothekerin, Grazer Damm 171, 12157, Berlin, Germany
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22
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Jeon EJ, Kang SH, Piao YH, Kim SW, Kim JJ, Lee BJ, Yu JC, Lee KY, Won SH, Lee SH, Kim SH, Kim ET, Kim CT, Oliver D, Fusar-Poli P, Rami FZ, Chung YC. Development of the Korea-Polyenvironmental Risk Score for Psychosis. Psychiatry Investig 2022; 19:197-206. [PMID: 35196829 PMCID: PMC8958209 DOI: 10.30773/pi.2021.0328] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/26/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Comprehensive understanding of polyenvironmental risk factors for the development of psychosis is important. Based on a review of related evidence, we developed the Korea Polyenvironmental Risk Score (K-PERS) for psychosis. We investigated whether the K-PERS can differentiate patients with schizophrenia spectrum disorders (SSDs) from healthy controls (HCs). METHODS We reviewed existing tools for measuring polyenvironmental risk factors for psychosis, including the Maudsley Environmental Risk Score (ERS), polyenviromic risk score (PERS), and Psychosis Polyrisk Score (PPS). Using odds ratios and relative risks for Western studies and the "population proportion" (PP) of risk factors for Korean data, we developed the K-PERS, and compared the scores thereon between patients with SSDs and HCs. In addition, correlation was performed between the K-PERS and Positive and Negative Syndrome Scale (PANSS). RESULTS We first constructed the "K-PERS-I," comprising five factors based on the PPS, and then the "K-PERS-II" comprising six factors based on the ERS. The instruments accurately predicted participants' status (case vs. control). In addition, the K-PERS-I and -II scores exhibited significant negative correlations with the negative symptom factor score of the PANSS. CONCLUSION The K-PERS is the first comprehensive tool developed based on PP data obtained from Korean studies that measures polyenvironmental risk factors for psychosis. Using pilot data, the K-PERS predicted patient status (SSD vs. HC). Further research is warranted to examine the relationship of K-PERS scores with clinical outcomes of psychosis and schizophrenia.
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Affiliation(s)
- Eun-Jin Jeon
- Department of Psychiatry, Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Shi-Hyun Kang
- Department of Social Psychiatry and Rehabilitation, National Center for Mental Health, Seoul, Republic of Korea
| | - Yan-Hong Piao
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jung-Jin Kim
- Department of Psychiatry, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea
| | - Bong-Ju Lee
- Department of Psychiatry, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Je-Chun Yu
- Department of Psychiatry, Eulji University School of Medicine, Eulji University Hospital, Daejeon, Republic of Korea
| | - Kyu-Young Lee
- Department of Psychiatry, Nowon Eulji Medical Center, Eulji University, Seoul, Republic of Korea
| | - Seung-Hee Won
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Seung-Hwan Lee
- Department of Psychiatry, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Seung-Hyun Kim
- Department of Psychiatry, Korea University College of Medicine, Guro Hospital, Seoul, Republic of Korea
| | - Eui-Tae Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Clara Tammy Kim
- Institute of Life and Death Studies, Hallym University, Chuncheon, Republic of Korea
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and the Maudsley NHS Foundation Trust, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and the Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Fatima Zahra Rami
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Young-Chul Chung
- Department of Psychiatry, Jeonbuk National University Hospital, Jeonju, Republic of Korea.,Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
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23
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Li X, Coid JW, Tang W, Lv Q, Zhang Y, Yu H, Wang Q, Deng W, Zhao L, Ma X, Meng Y, Li M, Wang H, Chen T, Guo W, Li T. Sustained effects of left-behind experience during childhood on mental health in Chinese university undergraduates. Eur Child Adolesc Psychiatry 2021; 30:1949-1957. [PMID: 33113025 DOI: 10.1007/s00787-020-01666-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 10/16/2020] [Indexed: 01/24/2023]
Abstract
Rapid industrialization and urbanization in China have resulted in labor migrants leaving children behind. For left-behind children (LBC), disrupted parental attachment may increase the risk of psychiatric morbidity in adulthood. To investigate psychopathological consequences for university students who were LBC and to estimate the effects of one or both parents being migrants, the duration of left-behind experience, and parental absence during critical periods of growth on psychiatric morbidity. We conducted an annual survey of all freshmen at a Chinese university from 2014 to 2018. The questionnaire collected information on left-behind experiences and psychiatric morbidity using standardized self-report instruments. Regression coefficients derived from logistic regression were used to measure the associations among total time left behind, absence of one parent or both parents, age when left behind and psychopathological consequences. A total of 42,505 students were included. Students who were LBC had more psychopathology, including depression, anxiety, somatoform disorder, obsessive-compulsive disorder, self-reported suicide attempts and deliberate self-harm, than those who were not. Students for whom one or both parents were migrants showed a greater risk of psychiatric morbidity. The risk of psychiatric morbidity increased with the length of parental absence. Left-behind experience during childhood represents sustained impacts for university students into early adulthood. The higher prevalence of psychiatric morbidity in young adults who experienced the absence of one or both of their parents, especially in their early childhood, suggests that other factors besides attachment, such as protection from other risks, are important and that further research is necessary.
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Affiliation(s)
- Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Jeremy W Coid
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wanjie Tang
- Institute of Emergency Management and Post-Disaster Reconstruction, Sichuan University, Chengdu, China.,Centre for Psychological Educational and Consultation, Sichuan University, Chengdu, China
| | - Qiuyue Lv
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Hua Yu
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Huiyao Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Ting Chen
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China
| | - Wanjun Guo
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041, Sichuan, China. .,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .,Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China. .,Centre for Psychological Educational and Consultation, Sichuan University, Chengdu, China. .,Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
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24
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Guerrin CGJ, Doorduin J, Sommer IE, de Vries EFJ. The dual hit hypothesis of schizophrenia: Evidence from animal models. Neurosci Biobehav Rev 2021; 131:1150-1168. [PMID: 34715148 DOI: 10.1016/j.neubiorev.2021.10.025] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/21/2021] [Accepted: 10/24/2021] [Indexed: 12/16/2022]
Abstract
Schizophrenia is a heterogeneous psychiatric disorder, which can severely impact social and professional functioning. Epidemiological and clinical studies show that schizophrenia has a multifactorial aetiology comprising genetic and environmental risk factors. Although several risk factors have been identified, it is still not clear how they result in schizophrenia. This knowledge gap, however, can be investigated in animal studies. In this review, we summarise animal studies regarding molecular and cellular mechanisms through which genetic and environmental factors may affect brain development, ultimately causing schizophrenia. Preclinical studies suggest that early environmental risk factors can affect the immune, GABAergic, glutamatergic, or dopaminergic system and thus increase the susceptibility to another risk factor later in life. A second insult, like social isolation, stress, or drug abuse, can further disrupt these systems and the interactions between them, leading to behavioural abnormalities. Surprisingly, first insults like maternal infection and early maternal separation can also have protective effects. Single gene mutations associated with schizophrenia did not have a major impact on the susceptibility to subsequent environmental hits.
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Affiliation(s)
- Cyprien G J Guerrin
- Department of Nuclear Medicine and Medical Imaging, University of Groningen, University Medical Centre Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Medical Imaging, University of Groningen, University Medical Centre Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Iris E Sommer
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Erik F J de Vries
- Department of Nuclear Medicine and Medical Imaging, University of Groningen, University Medical Centre Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands.
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25
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Stark T, Di Martino S, Drago F, Wotjak CT, Micale V. Phytocannabinoids and schizophrenia: Focus on adolescence as a critical window of enhanced vulnerability and opportunity for treatment. Pharmacol Res 2021; 174:105938. [PMID: 34655773 DOI: 10.1016/j.phrs.2021.105938] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 10/10/2021] [Accepted: 10/11/2021] [Indexed: 12/16/2022]
Abstract
The recent shift in socio-political debates and growing liberalization of Cannabis use across the globe has raised concern regarding its impact on vulnerable populations such as adolescents. Concurrent with declining perception of Cannabis harms, more adolescents are using it daily in several countries and consuming marijuana strains with high content of psychotropic delta (9)-tetrahydrocannabinol (THC). These dual, related trends seem to facilitate the development of compromised social and cognitive performance at adulthood, which are described in preclinical and human studies. Cannabis exerts its effects via altering signalling within the endocannabinoid system (ECS), which modulates the stress circuitry during the neurodevelopment. In this context early interventions appear to circumvent the emergence of adult neurodevelopmental deficits. Accordingly, Cannabis sativa second-most abundant compound, cannabidiol (CBD), emerges as a potential therapeutic agent to treat neuropsychiatric disorders. We first focus on human and preclinical studies on the long-term effects induced by adolescent THC exposure as a "critical window" of enhanced neurophysiological vulnerability, which could be involved in the pathophysiology of schizophrenia and related primary psychotic disorders. Then, we focus on adolescence as a "window of opportunity" for early pharmacological treatment, as novel risk reduction strategy for neurodevelopmental disorders. Thus, we review current preclinical and clinical evidence regarding the efficacy of CBD in terms of positive, negative and cognitive symptoms treatment, safety profile, and molecular targets.
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Affiliation(s)
- Tibor Stark
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; Department of Stress Neurobiology & Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Serena Di Martino
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Carsten T Wotjak
- Department of Stress Neurobiology & Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany; Central Nervous System Diseases Research (CNSDR), Boehringer Ingelheim Pharma GmbH & Co KG, 88397 Biberach an der Riss, Germany
| | - Vincenzo Micale
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
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26
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Li X, Guo W, Tang W, Lv Q, Zhang Y, Yu H, Wang Q, Deng W, Zhao L, Ma X, Meng Y, Li M, Wang H, Chen T, Liu YS, Tang Z, Du XD, Greenshaw AJ, Li T. The interactions between childhood adversities and recent stress were associated with early-adulthood depression among Chinese undergraduate students. Depress Anxiety 2021; 38:961-971. [PMID: 34293226 DOI: 10.1002/da.23201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/14/2021] [Accepted: 07/08/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND It is widely acknowledged that childhood adversities (CAs) and recent stress are potential risk factors for adult depression. However, the mechanism(s) by which interactions of CAs with recent stress affect adult depression remain unclear. AIMS To investigate the predictive association of the interaction among CAs and recent stress with early-adult depression. METHOD We conducted an annual survey of all freshmen for the period of 2016-2018 in a Chinese comprehensive university, with a sample size of 23,206. An online questionnaire including standardized self-report instruments was used to assess sociodemographic factors, childhood experiences of left-behind (CELB), and maltreatments (CEMTs) including beating (CEB), neglect (CEN), sexual abuse (CESA), recent stress, and current depression (measured by the 9-item Patient Health Questionnaire). RESULTS The correlation of Individual CAs and recent stress was significant. In addition to their significant independent/direct incremental effects, all surveyed CAs were associated with increased severity of early-adult depression, and increased frequency of clinically significant depression (CSD), through significant associations with recent stress (mediation effect). History of CEMTs including CEB, CEN, and CESA significantly increased the effects of recent stress on depression (moderation effect). CONCLUSIONS Chinese undergraduate students reported frequent history of exposure to CAs, which increased the likelihood of depression in early adulthood, not only directly but also through the increasing the likelihood (mediation effect) and impact (moderation effect) of recent stress on depression. These novel findings may help to extend our understanding of environmental determinants of depression, and to guide further research, clinical practice, and policy in this context.
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Affiliation(s)
- Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wanjun Guo
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wanjie Tang
- Centre for Psychological Educational and Consultation, Sichuan University, Chengdu, China
| | - Qiuyue Lv
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hua Yu
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Huiyao Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Ting Chen
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Zhen Tang
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiang-Dong Du
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | | | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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27
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Eyles DW. How do established developmental risk-factors for schizophrenia change the way the brain develops? Transl Psychiatry 2021; 11:158. [PMID: 33686066 PMCID: PMC7940420 DOI: 10.1038/s41398-021-01273-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/08/2021] [Accepted: 02/05/2021] [Indexed: 12/21/2022] Open
Abstract
The recognition that schizophrenia is a disorder of neurodevelopment is widely accepted. The original hypothesis was coined more than 30 years ago and the wealth of supportive epidemiologically data continues to grow. A number of proposals have been put forward to suggest how adverse early exposures in utero alter the way the adult brain functions, eventually producing the symptoms of schizophrenia. This of course is extremely difficult to study in developing human brains, so the bulk of what we know comes from animal models of such exposures. In this review, I will summarise the more salient features of how the major epidemiologically validated exposures change the way the brain is formed leading to abnormal function in ways that are informative for schizophrenia symptomology. Surprisingly few studies have examined brain ontogeny from embryo to adult in such models. However, where there is longitudinal data, various convergent mechanisms are beginning to emerge involving stress and immune pathways. There is also a surprisingly consistent alteration in how very early dopamine neurons develop in these models. Understanding how disparate epidemiologically-validated exposures may produce similar developmental brain abnormalities may unlock convergent early disease-related pathways/processes.
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Affiliation(s)
- Darryl W Eyles
- Queensland Brain Institute, University of Queensland, Brisbane, 4072, QLD, Australia.
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, 4076, QLD, Australia.
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28
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Preadult polytoxicomania-strong environmental underpinnings and first genetic hints. Mol Psychiatry 2021; 26:3211-3222. [PMID: 33824432 PMCID: PMC8505259 DOI: 10.1038/s41380-021-01069-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/01/2021] [Accepted: 03/18/2021] [Indexed: 11/09/2022]
Abstract
Considering the immense societal and personal costs and suffering associated with multiple drug use or "polytoxicomania", better understanding of environmental and genetic causes is crucial. While previous studies focused on single risk factors and selected drugs, effects of early-accumulated environmental risks on polytoxicomania were never addressed. Similarly, evidence of genetic susceptibility to particular drugs is abundant, while genetic predisposition to polytoxicomania is unexplored. We exploited the GRAS data collection, comprising information on N~2000 deep-phenotyped schizophrenia patients, to investigate effects of early-life environmental risk accumulation on polytoxicomania and additionally provide first genetic insight. Preadult accumulation of environmental risks (physical or sexual abuse, urbanicity, migration, cannabis, alcohol) was strongly associated with lifetime polytoxicomania (p = 1.5 × 10-45; OR = 31.4), preadult polytoxicomania with OR = 226.6 (p = 1.0 × 10-33) and adult polytoxicomania with OR = 17.5 (p = 3.4 × 10-24). Parallel accessibility of genetic data from GRAS patients and N~2100 controls for genome-wide association (GWAS) and phenotype-based genetic association studies (PGAS) permitted the creation of a novel multiple GWAS-PGAS approach. This approach yielded 41 intuitively interesting SNPs, potentially conferring liability to preadult polytoxicomania, which await replication upon availability of suitable deep-phenotyped cohorts anywhere world-wide. Concisely, juvenile environmental risk accumulation, including cannabis and alcohol as starter/gateway drugs, strongly predicts polytoxicomania during adolescence and adulthood. This pivotal message should launch more effective sociopolitical measures to prevent this deleterious psychiatric condition.
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29
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Peralta V, Moreno-Izco L, García de Jalón E, Sánchez-Torres AM, Janda L, Peralta D, Fañanás L, Cuesta MJ. Prospective Long-Term Cohort Study of Subjects With First-Episode Psychosis Examining Eight Major Outcome Domains and Their Predictors: Study Protocol. Front Psychiatry 2021; 12:643112. [PMID: 33815175 PMCID: PMC8017172 DOI: 10.3389/fpsyt.2021.643112] [Citation(s) in RCA: 6] [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: 12/17/2020] [Accepted: 02/23/2021] [Indexed: 01/21/2023] Open
Abstract
Background: Our current ability to predict the long-term course and outcome of subjects with a first-episode of psychosis (FEP) is limited. To improve our understanding of the long-term outcomes of psychotic disorders and their determinants, we designed a follow-up study using a well-characterized sample of FEP and a multidimensional approach to the outcomes. The main goals were to characterize the long-term outcomes of psychotic disorders from a multidimensional perspective, to address the commonalities and differential characteristics of the outcomes, and to examine the common and specific predictors of each outcome domain. This article describes the rationale, methods, and design of a longitudinal and naturalistic study of subjects with epidemiologically defined first-admission psychosis. Methods: Eligible subjects were recruited from consecutive admissions between January 1990 and December 2009. Between January 2018 and June 2021, we sought to trace, re-contact, and re-interview the subjects to assess the clinical course, trajectories of symptoms and functioning, and the different outcomes of psychotic disorders. Since this is a naturalistic study, the research team will not interfere with the subjects' care and treatment. Predictors include antecedent variables, first-episode characteristics, and illness-related variables over the illness course. We assess eight outcome domains at follow-up: psychopathology, psychosocial functioning, self-rated personal recovery, self-rated quality of life, cognitive performance, neuromotor dysfunction, medical and psychiatric comorbidities, and mortality rate. The range of the follow-up period will be 10-31 years with an estimated mean of 20 years. We estimate that more than 50% of the baseline sample will be assessed at follow-up. Discussion: The study design was driven by the increasing need to refine the ability to predict the different clinical outcomes in FEP, and it aims to close current gaps in knowledge, with a broad approach to both the definition of outcomes and their determinants. To the best of our knowledge, this study is one of the few attempting to characterize the very long-term outcome of FEP and the only study addressing eight major outcome domains. We hope that this study helps to better characterize the long-term outcomes and their determinants, enabling better risk stratification and individually tailored, person-based interventions.
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Affiliation(s)
- Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Lucía Moreno-Izco
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Elena García de Jalón
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Ana M Sánchez-Torres
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Lucía Janda
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - David Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Lourdes Fañanás
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Manuel J Cuesta
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
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30
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Pries LK, Erzin G, Rutten BPF, van Os J, Guloksuz S. Estimating Aggregate Environmental Risk Score in Psychiatry: The Exposome Score for Schizophrenia. Front Psychiatry 2021; 12:671334. [PMID: 34122186 PMCID: PMC8193078 DOI: 10.3389/fpsyt.2021.671334] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 05/04/2021] [Indexed: 11/13/2022] Open
Abstract
To understand the role of environment in the pathoetiology of psychosis spectrum disorders, research has thus far mainly investigated the effects of single exposures in isolation, such as the association between cannabis use and schizophrenia. However, this approach fails to acknowledge the complexity of the exposome, which represents the totality of the environment involving many exposures over an individual's lifetime. Therefore, contemporary research adopting the exposome paradigm has aimed at capturing the combined effect of different environmental exposures by utilizing an aggregate environmental vulnerability score for schizophrenia: the exposome score for schizophrenia. Here, we attempt to provide a comprehensive overview of studies applying the exposome score for schizophrenia. First, we describe several approaches estimating exposomic vulnerability for schizophrenia, which falls into three categories: simple environmental sum scores (sum of dichotomized exposures), meta-analysis-based environmental risk score (sum scores weighted by estimates from meta-analyses), and the exposome score (sum score weighted by estimates from an analysis in an independent training dataset). Studies show that the exposome score for schizophrenia that assumes interdependency of exposures performs better than scores that assume independence of exposures, such as the environmental sum score and the meta-analysis-based environmental risk score. Second, we discuss findings on the pluripotency of the exposome score for schizophrenia and summarize findings from gene-environment studies using the exposome score for schizophrenia. Finally, we discuss possible scientific, clinical, and population-based applications of exposome score for schizophrenia, as well as limitations and future directions for exposome research to understand the etiology of psychosis spectrum disorders.
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Affiliation(s)
- Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands
| | - Gamze Erzin
- Department of Psychiatry, University of Health Sciences Ankara Diskapi Training and Research Hospital, Ankara, Turkey
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands.,Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.,King's Health Partners, Department of Psychosis Studies, King's College London, Institute of Psychiatry, London, United Kingdom
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands.,Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
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31
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Vassos E, Sham P, Kempton M, Trotta A, Stilo SA, Gayer-Anderson C, Di Forti M, Lewis CM, Murray RM, Morgan C. The Maudsley environmental risk score for psychosis. Psychol Med 2020; 50:2213-2220. [PMID: 31535606 PMCID: PMC7557157 DOI: 10.1017/s0033291719002319] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/06/2019] [Accepted: 08/14/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND Risk prediction algorithms have long been used in health research and practice (e.g. prediction of cardiovascular disease and diabetes). However, similar tools have not been developed for mental health. For example, for psychotic disorders, attempts to sum environmental risk are rare, unsystematic and dictated by available data. In light of this, we sought to develop a valid, easy to use measure of the aggregate environmental risk score (ERS) for psychotic disorders. METHODS We reviewed the literature to identify well-replicated and validated environmental risk factors for psychosis that combine a significant effect and large-enough prevalence. Pooled estimates of relative risks were taken from the largest available meta-analyses. We devised a method of scoring the level of exposure to each risk factor to estimate ERS. Relative risks were rounded as, due to the heterogeneity of the original studies, risk effects are imprecisely measured. RESULTS Six risk factors (ethnic minority status, urbanicity, high paternal age, obstetric complications, cannabis use and childhood adversity) were used to generate the ERS. A distribution for different levels of risk based on simulated data showed that most of the population would be at low/moderate risk with a small minority at increased environmental risk for psychosis. CONCLUSIONS This is the first systematic approach to develop an aggregate measure of environmental risk for psychoses in asymptomatic individuals. This can be used as a continuous measure of liability to disease; mostly relevant to areas where the original studies took place. Its predictive ability will improve with the collection of additional, population-specific data.
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Affiliation(s)
- Evangelos Vassos
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Pak Sham
- State Key Laboratory of Brain and Cognitive Sciences, Department of Psychiatry and Centre for Genomic Sciences, University of Hong Kong, Hong Kong, China
| | - Matthew Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Antonella Trotta
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Tony Hillis Unit, South London & Maudsley NHS Foundation Trust, London, UK
| | - Simona A. Stilo
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Charlotte Gayer-Anderson
- Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, Experimental Biomedicine and Clinical Neuroscience (BIONEC), University of Palermo, Palermo, Italy
| | - Cathryn M. Lewis
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, Experimental Biomedicine and Clinical Neuroscience (BIONEC), University of Palermo, Palermo, Italy
| | - Craig Morgan
- Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Novel candidate genes for ECT response prediction-a pilot study analyzing the DNA methylome of depressed patients receiving electroconvulsive therapy. Clin Epigenetics 2020; 12:114. [PMID: 32727556 PMCID: PMC7388224 DOI: 10.1186/s13148-020-00891-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 06/23/2020] [Indexed: 01/07/2023] Open
Abstract
Background Major depressive disorder (MDD) represents a serious global health concern. The urge for efficient MDD treatment strategies is presently hindered by the incomplete knowledge of its underlying pathomechanism. Despite recent progress (highlighting both genetics and the environment, and thus DNA methylation, to be relevant for its development), 30–50% of MDD patients still fail to reach remission with standard treatment approaches. Electroconvulsive therapy (ECT) is one of the most powerful options for the treatment of pharmacoresistant depression; nevertheless, ECT remission rates barely reach 50% in large-scale naturalistic population-based studies. To optimize MDD treatment strategies and enable personalized medicine in the long- term, prospective indicators of ECT response are thus in great need. Because recent target-driven analyses revealed DNA methylation baseline differences between ECT responder groups, we analyzed the DNA methylome of depressed ECT patients using next-generation sequencing. In this pilot study, we did not only aim to find novel targets for ECT response prediction but also to get a deeper insight into its possible mechanism of action. Results Longitudinal DNA methylation analysis of peripheral blood mononuclear cells isolated from a cohort of treatment-resistant MDD patients (n = 12; time points: before and after 1st and last ECT, respectively) using a TruSeq-Methyl Capture EPIC Kit for library preparation, led to the following results: (1) The global DNA methylation differed neither between the four measured time points nor between ECT responders (n = 8) and non-responders (n = 4). (2) Analyzing the DNA methylation variance for every probe (=1476812 single CpG sites) revealed eight novel candidate genes to be implicated in ECT response (protein-coding genes: RNF175, RNF213, TBC1D14, TMC5, WSCD1; genes encoding for putative long non-coding RNA transcripts: AC018685.2, AC098617.1, CLCN3P1). (3) In addition, DNA methylation of two CpG sites (located within AQP10 and TRERF1) was found to change during the treatment course. Conclusions We suggest ten novel candidate genes to be implicated in either ECT response or its possible mechanism. Because of the small sample size of our pilot study, our findings must be regarded as preliminary.
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33
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Alfimova MV, Lezheiko TV, Smirnova SV, Gabaeva MV, Golimbet VV. Effect of the C-reactive protein gene on risk and clinical characteristics of schizophrenia in winter-born individuals. Eur Neuropsychopharmacol 2020; 35:81-88. [PMID: 32402651 DOI: 10.1016/j.euroneuro.2020.03.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 03/16/2020] [Accepted: 03/27/2020] [Indexed: 12/16/2022]
Abstract
C-reactive protein (CRP) levels are elevated in a subset of schizophrenia patients and correlated with more severe symptoms, which makes CRP a potential theranostic biomarker for the disease. However, genotypes associated with higher CRP concentrations have the protective effect against schizophrenia. To resolve this discrepancy, more research on the role of CRP in schizophrenia is needed. The present study aimed to investigate the effects on schizophrenia of the CRP gene in combination with season of birth (SOB), the known risk factor for the disease. We first examined the impact of seasonality on schizophrenia risk in the Russian population, using samples of 2452 patients and 1203 controls, and then assessed the CRP rs2794521 polymorphism × SOB interaction effect on the disease risk, age-of-onset and symptoms severity in 826 patients and 476 controls. An excess of winter births in patients was not significant. At the same time, we found that winter-born patients carrying the CRP GG genotype, which is associated with low transcriptional activity, had an earlier age at onset than the other patients. The findings are in line with the protective role of high active CRP genetic variants in the development of schizophrenia and provide support for the hypothesis that this effect of CRP takes place early in life.
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Affiliation(s)
- Margarita V Alfimova
- Department of Clinical Genetics, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russian Federation.
| | - Tatyana V Lezheiko
- Department of Clinical Genetics, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russian Federation
| | - Svetlana V Smirnova
- Department of Clinical Genetics, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russian Federation
| | - Marina V Gabaeva
- Department of Clinical Genetics, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russian Federation
| | - Vera V Golimbet
- Department of Clinical Genetics, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russian Federation
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Abbott A. How young refugees' traumatic pasts shape their mental health. Nature 2020:10.1038/d41586-020-01408-3. [PMID: 32398817 DOI: 10.1038/d41586-020-01408-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Begemann M, Seidel J, Poustka L, Ehrenreich H. Accumulated environmental risk in young refugees - A prospective evaluation. EClinicalMedicine 2020; 22:100345. [PMID: 32510048 PMCID: PMC7264975 DOI: 10.1016/j.eclinm.2020.100345] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 03/27/2020] [Accepted: 03/30/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Recently, we reported a strong, disease-independent relationship between accumulated preadult environmental risks and violent aggression later in life. Risk factors were interchangeable, and migration was among the explored risks. Alarmed by these data, we assessed collected risk load in young 'healthy' refugees as a specific subgroup of current migration streams and evaluated first signals of behavioral abnormalities. METHODS In 9 German refugee centers, n = 133 young refugees, not previously in contact with the health system, were recruited, many of them unaccompanied minors. Risk factors experienced apart from migration/refuge were carefully assessed: Traumatic experiences before/during/after flight (including war, genocide, human trafficking, torture, murder, slavery, terrorist attacks), urbanicity, physical and sexual abuse, problematic alcohol and cannabis use (lifetime). Evaluation comprised physical exam and psychopathology screening. FINDINGS Refugees arrived in Germany via Eastern Mediterranean/Balkan route (34.6%), from Africa via Central Mediterranean route (39.1%), by plane (17.3%) or other routes, such as Western Mediterranean or Atlantic (9.0%). Flight reasons were war/expulsion (25.6%), persecution/threats to life (51.9%), economical/others (22.5%). On top of migration/refuge, 42.8% of subjects had ≥3 risk factors; only 4.5% of refugees had no additional risks. Global level of functioning and severity of psychopathology were strongly associated with number of accumulated risks (Jonckheere-Terpstra trend-test: p = 7.61 × 10-7 and p = 3.62 × 10-7, respectively). INTERPRETATION Young refugees, arriving in hosting countries with alarming 'risk burden', should be considered as highly vulnerable towards development of global functional deficits, behavioral abnormalities, and neuropsychiatric disorders. Rapid proactive integration or sustainable support of those who will return to rebuild their countries are mandatory. FUNDING The Max Planck Society supported this work.
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Affiliation(s)
- Martin Begemann
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
- Department of Psychiatry & Psychotherapy, University Medical Center, Göttingen, Germany
| | - Jan Seidel
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Luise Poustka
- Department of Child & Adolescent Psychiatry & Psychotherapy, University Medical Center Göttingen, Germany
| | - Hannelore Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
- Corresponding author.
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36
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Moschny N, Jahn K, Bajbouj M, Maier HB, Ballmaier M, Khan AQ, Pollak C, Bleich S, Frieling H, Neyazi A. DNA Methylation of the t-PA Gene Differs Between Various Immune Cell Subtypes Isolated From Depressed Patients Receiving Electroconvulsive Therapy. Front Psychiatry 2020; 11:571. [PMID: 32636772 PMCID: PMC7319092 DOI: 10.3389/fpsyt.2020.00571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 06/03/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) represents a tremendous health threat to the world's population. Electroconvulsive therapy (ECT) is the most effective treatment option for refractory MDD patients. Ample evidence suggests brain-derived neurotrophic factor (BDNF) to play a crucial role in ECT's mode of action. Tissue-type plasminogen activator (t-PA) and plasminogen activator inhibitor-1 (PAI-1) are involved in BDNF production. HYPOTHESIS The DNA methylation of gene regions encoding for t-PA and PAI-1 might be a suitable biomarker for ECT response prediction. METHODS We withdrew blood from two cohorts of treatment-resistant MDD patients receiving ECT. In the first cohort (n = 59), blood was collected at baseline only. To evaluate DNA methylation changes throughout the treatment course, we acquired a second group (n = 28) and took blood samples at multiple time points. DNA isolated from whole blood and defined immune cell subtypes (B cells, monocytes, natural killer cells, and T cells) served for epigenetic analyses. RESULTS Mixed linear models (corrected for multiple testing by Sidak's post-hoc test) revealed (1) no detectable baseline blood DNA methylation differences between ECT remitters (n = 33) and non-remitters (n = 53) in the regions analyzed, but (2) a significant difference in t-PA's DNA methylation between the investigated immune cell subtypes instead (p < 0.00001). This difference remained stable throughout the treatment course, showed no acute changes after ECT, and was independent of clinical remission. CONCLUSION DNA methylation of both proteins seems to play a minor role in ECT's mechanisms. Generally, we recommend using defined immune cell subtypes (instead of whole blood only) for DNA methylation analyses.
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Affiliation(s)
- Nicole Moschny
- Laboratory for Molecular Neurosciences, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.,Center for Systems Neuroscience, Hannover Graduate School for Veterinary Pathobiology, Neuroinfectiology, and Translational Medicine (HGNI), Hannover, Germany
| | - Kirsten Jahn
- Laboratory for Molecular Neurosciences, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Malek Bajbouj
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Hannah Benedictine Maier
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | | | - Abdul Qayyum Khan
- Laboratory for Molecular Neurosciences, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Christoph Pollak
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Stefan Bleich
- Center for Systems Neuroscience, Hannover Graduate School for Veterinary Pathobiology, Neuroinfectiology, and Translational Medicine (HGNI), Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Helge Frieling
- Laboratory for Molecular Neurosciences, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.,Center for Systems Neuroscience, Hannover Graduate School for Veterinary Pathobiology, Neuroinfectiology, and Translational Medicine (HGNI), Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Alexandra Neyazi
- Center for Systems Neuroscience, Hannover Graduate School for Veterinary Pathobiology, Neuroinfectiology, and Translational Medicine (HGNI), Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
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37
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Wu YF, Sytwu HK, Lung FW. Polymorphisms in the Human Aquaporin 4 Gene Are Associated With Schizophrenia in the Southern Chinese Han Population: A Case-Control Study. Front Psychiatry 2020; 11:596. [PMID: 32676041 PMCID: PMC7333661 DOI: 10.3389/fpsyt.2020.00596] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/09/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND In psychiatric illness, pathogenic role of neuroinflammation has been supported by multiple lines of evidence. Astrocytes contribute to the blood-brain barrier (BBB) with formation of the "glymphatic" drainage system of the central nervous system (CNS) through perivascular processes. Found primarily at the end-feet of astrocytes, the aquaporin 4 (AQP4) gene has been suspected to play putative roles in the development of psychiatric disorders as well as the clearance of the glymphatic system. However, there remain many uncertainties because of the limited research on AQP4. The present study is focused on the association between AQP4 gene polymorphisms and schizophrenia (SCZ) in the Southern Chinese Han population. METHODS Two hundred ninety-two patients and 100 healthy controls were enrolled in this study. To study the relationship of AQP4 gene polymorphisms and SCZ, genetic information was drawn from a cohort of 100 healthy controls and 100 matched patients with SCZ of Southern Han Chinese descent. Comparisons of the allele and genotype distributions between control and case groups were made using the χ2 test. Two-group comparisons were made to assess the linkage equilibrium and haplotype. RESULTS Three SNPs were found. In comparison to healthy controls, patients had higher T-allele frequencies at rs1058424 and G-allele frequencies at rs3763043 (p = 0.043 and p = 0.045, respectively). Furthermore, there is an association between the decreased risk of SCZ and the AA genotype at both rs1058424 (p = 0.021, OR = 2.04) and rs3763043 (p = 0.018, OR = 2.25) The TCG haplotype (p = 0.036) was associated with a potential risk of SCZ, while the ACA haplotype (p = 0.0007) was associated with a decreased risk of SCZ and retained statistical significance after Bonferroni correction (p = 0.006). CONCLUSIONS An etiological reference for SCZ is provided by the association between AQP4 gene polymorphisms and SCZ in Southern Han Chinese population.
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Affiliation(s)
- Yung-Fu Wu
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan
| | - Huey-Kang Sytwu
- Department of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan
| | - For-Wey Lung
- Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan.,Department of Psychiatry, Calo Psychiatric Center, Pingtung County, Taiwan
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38
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Abstract
The genetic architecture of schizophrenia is complex and highly polygenic. This article discusses key findings from genetic studies of childhood-onset schizophrenia (COS) and the more common adult-onset schizophrenia (AOS), including studies of familial aggregation and common, rare, and copy number variants. Extant literature suggests that COS is a rare variant of AOS involving greater familial aggregation of schizophrenia spectrum disorders and a potentially higher occurrence of pathogenic copy number variants. The direct utility of genetics to clinical practice for COS is currently limited; however, identifying common pathways through which risk genes affect brain function offers promise for novel interventions.
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Affiliation(s)
- Jennifer K Forsyth
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, USA.
| | - Robert F Asarnow
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, USA; Department of Psychology, University of California, Los Angeles, 502 Portola Plaza Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, 695 Charles E Young Dr S, Los Angeles, CA 90095, USA.
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39
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Polygenic Risk Scores for Psychiatric Disorders Reveal Novel Clues About the Genetics of Disordered Gambling. Twin Res Hum Genet 2019; 22:283-289. [PMID: 31608857 DOI: 10.1017/thg.2019.90] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Disordered gambling (DG) is a rare but serious condition that results in considerable financial and interpersonal harms. Twin studies indicate that DG is heritable but are silent with respect to specific genes or pathways involved. Existing genomewide association studies (GWAS) of DG have been substantially underpowered. Larger GWAS of other psychiatric disorders now permit calculation of polygenic risk scores (PRSs) that reflect the aggregated effects of common genetic variants contributing risk for the target condition. The current study investigated whether gambling and DG are associated with PRSs for four psychiatric conditions found to be comorbid with DG in epidemiologic surveys: major depressive disorder (MDD), attention-deficit hyperactivity disorder (ADHD), bipolar disorder (BD) and schizophrenia (SCZ). Genotype data and survey responses were analyzed from the Wave IV assessment (conducted in 2008) of the National Longitudinal Study of Adolescent to Adult Health, a representative sample of adolescents recruited in 1994-1995 and followed into adulthood. Among participants classified as having European ancestry based on genetic analysis (N = 5215), 78.4% reported ever having gambled, and 1.3% reported lifetime DG. Polygenic risk for BD was associated with decreased odds of lifetime gambling, OR = 0.93 [0.87, 0.99], p = .045, pseudo-R2(%) = .12. The SCZ PRS was associated with increased odds of DG, OR = 1.54 [1.07, 2.21], p = .02, pseudo-R2(%) = .85. Polygenic risk scores for MDD and ADHD were not related to either gambling outcome. Investigating features common to both SCZ and DG might generate valuable clues about the genetically influenced liabilities to DG.
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40
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Karlsson H, Dal H, Gardner RM, Torrey EF, Dalman C. Birth month and later diagnosis of schizophrenia. A population-based cohort study in Sweden. J Psychiatr Res 2019; 116:1-6. [PMID: 31170611 DOI: 10.1016/j.jpsychires.2019.05.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/10/2019] [Accepted: 05/27/2019] [Indexed: 10/26/2022]
Abstract
The objective of the present study was to examine if the monthly variation in births of individuals diagnosed with schizophrenia currently differs from that of unaffected individuals in Sweden. In an extensive linkage of Swedish national and regional population registers we here investigate the birth pattern of the population born 1940-97 (5,995,499 individuals) which included 30,684 individuals diagnosed with schizophrenia in the National Patient Register by December 31, 2016. Among 2,409,862 individuals born since 1973 we investigated potential confounding by co-variates associated with pregnancy and birth. We also compared the monthly birth pattern of 22,570 affected individuals to that of their 41,528 unaffected full siblings. We observe a significant birth excess of individuals with schizophrenia in December, HR 1.07 95%CI (1.01-1.13). Patients born in December received a registered diagnosis of schizophrenia at a slightly younger age than those born during other months. A number of co-variates were associated not only with schizophrenia but also varied across birth months. Inclusion of these in the models however had virtually no influence on the risk for schizophrenia associated with December birth. In comparisons between full siblings, the association between December birth and later diagnosis of schizophrenia remained, albeit slightly attenuated, HR 1.06 (0.99-1.12). Risk for schizophrenia associated with birth in December in Sweden during the study period does not appear to be fully explained by our investigated co-variates or factors shared between family members and may thus represent monthly/seasonal variation in environmental factors involved in the etiology of schizophrenia.
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Affiliation(s)
- Hakan Karlsson
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Henrik Dal
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Renee M Gardner
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Christina Dalman
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
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41
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Belsky DW, Harden KP. Phenotypic Annotation: Using Polygenic Scores to Translate Discoveries From Genome-Wide Association Studies From the Top Down. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 2019; 28:82-90. [PMID: 38736689 PMCID: PMC11086979 DOI: 10.1177/0963721418807729] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Abstract
Genome-wide association studies (GWASs) have identified specific genetic variants associated with complex human traits and behaviors, such as educational attainment, mental disorders, and personality. However, small effect sizes for individual variants, uncertainty regarding the biological function of discovered genotypes, and potential "outside-the-skin" environmental mechanisms leave a translational gulf between GWAS results and scientific understanding that will improve human health and well-being. We propose a set of social, behavioral, and brain-science research activities that map discovered genotypes to neural, developmental, and social mechanisms and call this research program phenotypic annotation. Phenotypic annotation involves (a) elaborating the nomological network surrounding discovered genotypes, (b) shifting focus from individual genes to whole genomes, and (c) testing how discovered genotypes affect life-span development. Phenotypic-annotation research is already advancing the understanding of GWAS discoveries for educational attainment and schizophrenia. We review examples and discuss methodological considerations for psychologists taking up the phenotypic-annotation approach.
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Affiliation(s)
- Daniel W. Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health
- The Robert N. Butler Columbia Aging Center, Columbia University Mailman School of Public Health
| | - K. Paige Harden
- Department of Psychology, The University of Texas at Austin
- Population Research Center, The University of Texas at Austin
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42
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Trilesnik B, Altunoz U, Wesolowski J, Eckhoff L, Ozkan I, Loos K, Penteker G, Graef-Calliess IT. Implementing a Need-Adapted Stepped-Care Model for Mental Health of Refugees: Preliminary Data of the State-Funded Project "RefuKey". Front Psychiatry 2019; 10:688. [PMID: 31611823 PMCID: PMC6777041 DOI: 10.3389/fpsyt.2019.00688] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 08/27/2019] [Indexed: 12/05/2022] Open
Abstract
Introduction: Refugees have been shown to be a rather vulnerable population with increased psychiatric morbidity and lack of access to adequate mental health care. By expanding regional psychosocial and psychiatric-psychotherapeutic care structures and adapting psychiatric routine care to refugees' needs, the state-funded project "refuKey" based in Lower Saxony, Germany, pursues to ease access to mental health care and increase service quality for refugees. A stepped-care treatment model along with intercultural opening of mental health care services is proposed. Methods: The project is subject to a four-part evaluation study. The first part investigates the state of psychiatric routine care for refugees in Lower Saxony by requesting data from all psychiatric clinics, participating and non-participating ones, regarding the numbers of refugee patients, their diagnoses, settings of treatment, etc. The second part explores experiences and work satisfaction of mental health care professionals treating refugees in refuKey cooperation clinics. The third part consists of interviews and focus group discussions with experts regarding challenges in mental health care of refugees and expectations for improvement through refuKey. The fourth part compares mental health parameters like depression, anxiety, traumatization, somatization, psychoticism, quality of life, as well as "pathways-to-care" of refuKey-treated refugees before and after treatment and, in a follow-up, to a non-refuKey-treated refugee control group. Results: RefuKey-treated refugees reported many mental health problems and estimated their mental health burden as high. The symptoms decreased significantly over the course of treatment. Mental health in the refuKey sample was strongly linked to post-migration stressors. Discussion: The state of mental health care for refugees is discussed. Implications for the improvement and the need for adaptation of routine mental health care services are drawn.
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Affiliation(s)
- Beata Trilesnik
- Department of Psychology, Humboldt University of Berlin, Berlin, Germany
| | - Umut Altunoz
- Department of General Psychiatry and Psychotherapy, KRH Psychiatry Wunstorf, Wunstorf, Germany
| | - Janina Wesolowski
- Department of Economic and Social Psychology, Institute of Psychology, Georg-August-University Goettingen, Goettingen, Germany
| | - Leonard Eckhoff
- Faculty of Physics, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ibrahim Ozkan
- Psychiatric Outpatient Clinic, Asklepios Fachklinikum Göttingen, Göttingen, Germany
| | | | | | - Iris Tatjana Graef-Calliess
- Department of General Psychiatry and Psychotherapy, KRH Psychiatry Wunstorf, Wunstorf, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
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43
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Mitjans M, Seidel J, Begemann M, Bockhop F, Moya-Higueras J, Bansal V, Wesolowski J, Seelbach A, Ibáñez MI, Kovacevic F, Duvar O, Fañanás L, Wolf HU, Ortet G, Zwanzger P, Klein V, Lange I, Tänzer A, Dudeck M, Penke L, van Elst LT, Bittner RA, Schmidmeier R, Freese R, Müller-Isberner R, Wiltfang J, Bliesener T, Bonn S, Poustka L, Müller JL, Arias B, Ehrenreich H. Violent aggression predicted by multiple pre-adult environmental hits. Mol Psychiatry 2019; 24:1549-1564. [PMID: 29795411 PMCID: PMC6756097 DOI: 10.1038/s41380-018-0043-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 02/19/2018] [Accepted: 02/21/2018] [Indexed: 01/26/2023]
Abstract
Early exposure to negative environmental impact shapes individual behavior and potentially contributes to any mental disease. We reported previously that accumulated environmental risk markedly decreases age at schizophrenia onset. Follow-up of matched extreme group individuals (≤1 vs. ≥3 risks) unexpectedly revealed that high-risk subjects had >5 times greater probability of forensic hospitalization. In line with longstanding sociological theories, we hypothesized that risk accumulation before adulthood induces violent aggression and criminal conduct, independent of mental illness. We determined in 6 independent cohorts (4 schizophrenia and 2 general population samples) pre-adult risk exposure, comprising urbanicity, migration, physical and sexual abuse as primary, and cannabis or alcohol as secondary hits. All single hits by themselves were marginally associated with higher violent aggression. Most strikingly, however, their accumulation strongly predicted violent aggression (odds ratio 10.5). An epigenome-wide association scan to detect differential methylation of blood-derived DNA of selected extreme group individuals yielded overall negative results. Conversely, determination in peripheral blood mononuclear cells of histone-deacetylase1 mRNA as 'umbrella mediator' of epigenetic processes revealed an increase in the high-risk group, suggesting lasting epigenetic alterations. Together, we provide sound evidence of a disease-independent unfortunate relationship between well-defined pre-adult environmental hits and violent aggression, calling for more efficient prevention.
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Affiliation(s)
- Marina Mitjans
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany ,DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany ,grid.469673.9Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Jan Seidel
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Martin Begemann
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany ,0000 0001 2364 4210grid.7450.6Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Fabian Bockhop
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Jorge Moya-Higueras
- grid.469673.9Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,0000 0001 2163 1432grid.15043.33Department of Psychology, Faculty of Education, Psychology and Social Work, University of Lleida, Lleida, Spain
| | - Vikas Bansal
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany ,0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology, Institute of Medical Systems Biology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Janina Wesolowski
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Anna Seelbach
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Manuel Ignacio Ibáñez
- grid.469673.9Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,0000 0001 1957 9153grid.9612.cDepartment of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló, Spain
| | - Fatka Kovacevic
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Oguzhan Duvar
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Lourdes Fañanás
- grid.469673.9Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,0000 0004 1937 0247grid.5841.8Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia and Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Spain
| | - Hannah-Ulrike Wolf
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Generós Ortet
- grid.469673.9Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,0000 0001 1957 9153grid.9612.cDepartment of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló, Spain
| | - Peter Zwanzger
- KBO-Inn-Salzach-Klinikum, Gabersee, Wasserburg am Inn Germany
| | - Verena Klein
- KBO-Isar-Amper-Klinikum, Taufkirchen (Vils), Germany
| | - Ina Lange
- Competence Center for Forensic Psychiatry, Lower Saxony, MRV Moringen Germany
| | - Andreas Tänzer
- 0000 0000 9597 1037grid.412811.fDepartment of Forensic Psychiatry & Psychotherapy, KRH, Wunstorf, Germany
| | - Manuela Dudeck
- 0000 0004 1936 9748grid.6582.9Forensic Psychiatry and Psychotherapy, University of Ulm, Ulm, Germany
| | - Lars Penke
- 0000 0001 2364 4210grid.7450.6Institute of Psychology, University of Göttingen, Göttingen, Germany
| | - Ludger Tebartz van Elst
- grid.5963.9Department of Psychiatry & Psychotherapy, University of Freiburg, Freiburg, Germany
| | - Robert A. Bittner
- 0000 0004 1936 9721grid.7839.5Department of Psychiatry & Psychotherapy, University of Frankfurt, Frankfurt, Germany
| | | | | | | | - Jens Wiltfang
- 0000 0001 2364 4210grid.7450.6Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Thomas Bliesener
- 0000 0000 8700 8822grid.462495.8Criminological Research Institute of Lower Saxony, Hannover, Germany
| | - Stefan Bonn
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany ,0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology, Institute of Medical Systems Biology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Luise Poustka
- 0000 0001 2364 4210grid.7450.6Department of Child and Adolescent Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Jürgen L. Müller
- 0000 0001 2364 4210grid.7450.6Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany ,Asklepios Hospital for Forensic Psychiatry & Psychotherapy, Göttingen, Germany
| | - Bárbara Arias
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain. .,Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia and Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Spain.
| | - Hannelore Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany. .,DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.
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44
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Pan H, Oliveira B, Saher G, Dere E, Tapken D, Mitjans M, Seidel J, Wesolowski J, Wakhloo D, Klein-Schmidt C, Ronnenberg A, Schwabe K, Trippe R, Mätz-Rensing K, Berghoff S, Al-Krinawe Y, Martens H, Begemann M, Stöcker W, Kaup FJ, Mischke R, Boretius S, Nave KA, Krauss JK, Hollmann M, Lühder F, Ehrenreich H. Uncoupling the widespread occurrence of anti-NMDAR1 autoantibodies from neuropsychiatric disease in a novel autoimmune model. Mol Psychiatry 2019; 24:1489-1501. [PMID: 29426955 PMCID: PMC6756099 DOI: 10.1038/s41380-017-0011-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 10/20/2017] [Accepted: 10/30/2017] [Indexed: 02/07/2023]
Abstract
Autoantibodies of the IgG class against N-methyl-D-aspartate-receptor subunit-NR1 (NMDAR1-AB) were considered pathognomonic for anti-NMDAR encephalitis. This view has been challenged by the age-dependent seroprevalence (up to >20%) of functional NMDAR1-AB of all immunoglobulin classes found in >5000 individuals, healthy or affected by different diseases. These findings question a merely encephalitogenic role of NMDAR1-AB. Here, we show that NMDAR1-AB belong to the normal autoimmune repertoire of dogs, cats, rats, mice, baboons, and rhesus macaques, and are functional in the NMDAR1 internalization assay based on human IPSC-derived cortical neurons. The age dependence of seroprevalence is lost in nonhuman primates in captivity and in human migrants, raising the intriguing possibility that chronic life stress may be related to NMDAR1-AB formation, predominantly of the IgA class. Active immunization of ApoE-/- and ApoE+/+ mice against four peptides of the extracellular NMDAR1 domain or ovalbumin (control) leads to high circulating levels of specific AB. After 4 weeks, the endogenously formed NMDAR1-AB (IgG) induce psychosis-like symptoms upon MK-801 challenge in ApoE-/- mice, characterized by an open blood-brain barrier, but not in their ApoE+/+ littermates, which are indistinguishable from ovalbumin controls. Importantly, NMDAR1-AB do not induce any sign of inflammation in the brain. Immunohistochemical staining for microglial activation markers and T lymphocytes in the hippocampus yields comparable results in ApoE-/- and ApoE+/+ mice, irrespective of immunization against NMDAR1 or ovalbumin. These data suggest that NMDAR1-AB of the IgG class shape behavioral phenotypes upon access to the brain but do not cause brain inflammation on their own.
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Affiliation(s)
- Hong Pan
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Bárbara Oliveira
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Gesine Saher
- 0000 0001 0668 6902grid.419522.9Department of Neurogenetics, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Ekrem Dere
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Daniel Tapken
- 0000 0004 0490 981Xgrid.5570.7Department of Biochemistry I—Receptor Biochemistry, Ruhr University, Bochum, Germany
| | - Marina Mitjans
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Jan Seidel
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Janina Wesolowski
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Debia Wakhloo
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Christina Klein-Schmidt
- 0000 0004 0490 981Xgrid.5570.7Department of Biochemistry I—Receptor Biochemistry, Ruhr University, Bochum, Germany
| | - Anja Ronnenberg
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Kerstin Schwabe
- 0000 0000 9529 9877grid.10423.34Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | - Ralf Trippe
- 0000 0004 0490 981Xgrid.5570.7Department of Biochemistry I—Receptor Biochemistry, Ruhr University, Bochum, Germany
| | - Kerstin Mätz-Rensing
- Department of Pathology, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Stefan Berghoff
- 0000 0001 0668 6902grid.419522.9Department of Neurogenetics, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Yazeed Al-Krinawe
- 0000 0000 9529 9877grid.10423.34Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | | | - Martin Begemann
- 0000 0001 0668 6902grid.419522.9Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Winfried Stöcker
- Institute for Experimental Immunology, affiliated to Euroimmun, Lübeck, Germany
| | - Franz-Josef Kaup
- Department of Pathology, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Reinhard Mischke
- 0000 0001 0126 6191grid.412970.9Small Animal Clinic, University of Veterinary Medicine, Hannover, Germany
| | - Susann Boretius
- Functional Imaging Laboratory, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Klaus-Armin Nave
- 0000 0001 0668 6902grid.419522.9Department of Neurogenetics, Max Planck Institute of Experimental Medicine, Göttingen, Germany ,DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany
| | - Joachim K. Krauss
- 0000 0000 9529 9877grid.10423.34Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | - Michael Hollmann
- 0000 0004 0490 981Xgrid.5570.7Department of Biochemistry I—Receptor Biochemistry, Ruhr University, Bochum, Germany
| | - Fred Lühder
- 0000 0001 0482 5331grid.411984.1Department of Neuroimmunology, Institute for Multiple Sclerosis Research and Hertie Foundation, University Medicine Göttingen, Göttingen, Germany
| | - Hannelore Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany. .,DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.
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45
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Abstract
PURPOSE OF REVIEW We review recent developments on risk factors in schizophrenia. RECENT FINDINGS The way we think about schizophrenia today is profoundly different from the way this illness was seen in the twentieth century. We now know that the etiology of schizophrenia is multifactorial and reflects an interaction between genetic vulnerability and environmental contributors. Environmental risk factors such as pregnancy and birth complications, childhood trauma, migration, social isolation, urbanicity, and substance abuse, alone and in combination, acting at a number of levels over time, influence the individual's likelihood to develop the disorder. Environmental risk factors together with the identification of a polygenic risk score for schizophrenia, research on gene-environment interaction and environment-environment interaction have hugely increased our knowledge of the disorder.
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Affiliation(s)
- Simona A Stilo
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
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46
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Arranz S, Monferrer N, Jose Algora M, Cabezas A, Sole M, Vilella E, Labad J, Sanchez-Gistau V. The relationship between the level of exposure to stress factors and cannabis in recent onset psychosis. Schizophr Res 2018; 201:352-359. [PMID: 29743139 DOI: 10.1016/j.schres.2018.04.040] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 04/27/2018] [Accepted: 04/29/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND There is a lack of studies investigating the dose-response effect of childhood trauma, recent events and cannabis use on recent psychosis. This study aims to determine the relationship between the level of exposure to stress factors and cannabis use with psychosis and to determine the combination effect among these factors in predicting a psychotic disorder. METHODS 146 recent onset psychotic (ROP) patients and 61 healthy controls were included. Childhood trauma was evaluated using the childhood trauma questionnaire (CTQ) and recent events using the Holmes-Rahe social readjustment scale. The pattern of cannabis use was assessed by a detailed interview. A hierarchical multiple regression was run in order to determine both the cumulative and independent contribution of each factor in predicting a psychotic disorder. RESULTS The highest levels of exposure to childhood trauma and cannabis were associated with psychosis while neither low nor high recent event exposure was associated. The combined effect of risk factors yielded a significant association with psychosis (×2 = 86.76, p < .001) explaining the 49% of its variation. ROP were more likely to be exposed to one, two or three environmental factors than HC. Exposed to two or all factors were 7.5-fold and 26.7-fold more likely to have a diagnosis of psychosis, respectively. CONCLUSIONS Our study provides evidence for a cumulative and a dose-response effect of environmental factors on recent psychosis. Considering that cannabis use and stress are highly prevalent in the population with psychosis, investigations of their relationships are needed to implement targeted prevention and treatment strategies.
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Affiliation(s)
- Sara Arranz
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
| | - Nuria Monferrer
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
| | - M Jose Algora
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
| | - Angel Cabezas
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
| | - Montse Sole
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
| | - E Vilella
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain
| | - J Labad
- Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
| | - Vanessa Sanchez-Gistau
- Hospital Universitari Institut Pere Mata of Reus, IISPV, Universitat Rovira Virgili and CIBERSAM, Spain.
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47
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Abstract
Schizophrenia and other types of psychosis incur suffering, high health care costs and loss of human potential, due to the combination of early onset and poor response to treatment. Our ability to prevent or cure psychosis depends on knowledge of causal mechanisms. Molecular genetic studies show that thousands of common and rare variants contribute to the genetic risk for psychosis. Epidemiological studies have identified many environmental factors associated with increased risk of psychosis. However, no single genetic or environmental factor is sufficient to cause psychosis on its own. The risk of developing psychosis increases with the accumulation of many genetic risk variants and exposures to multiple adverse environmental factors. Additionally, the impact of environmental exposures likely depends on genetic factors, through gene-environment interactions. Only a few specific gene-environment combinations that lead to increased risk of psychosis have been identified to date. An example of replicable gene-environment interaction is a common polymorphism in the AKT1 gene that makes its carriers sensitive to developing psychosis with regular cannabis use. A synthesis of results from twin studies, molecular genetics, and epidemiological research outlines the many genetic and environmental factors contributing to psychosis. The interplay between these factors needs to be considered to draw a complete picture of etiology. To reach a more complete explanation of psychosis that can inform preventive strategies, future research should focus on longitudinal assessments of multiple environmental exposures within large, genotyped cohorts beginning early in life.
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Affiliation(s)
- Alyson Zwicker
- Department of Pathology,Dalhousie University,Halifax,NS,Canada
| | | | - Rudolf Uher
- Department of Pathology,Dalhousie University,Halifax,NS,Canada
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48
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Wang H, Xu J, Lazarovici P, Quirion R, Zheng W. cAMP Response Element-Binding Protein (CREB): A Possible Signaling Molecule Link in the Pathophysiology of Schizophrenia. Front Mol Neurosci 2018; 11:255. [PMID: 30214393 PMCID: PMC6125665 DOI: 10.3389/fnmol.2018.00255] [Citation(s) in RCA: 283] [Impact Index Per Article: 40.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 07/06/2018] [Indexed: 12/17/2022] Open
Abstract
Dopamine is a brain neurotransmitter involved in the pathology of schizophrenia. The dopamine hypothesis states that, in schizophrenia, dopaminergic signal transduction is hyperactive. The cAMP-response element binding protein (CREB) is an intracellular protein that regulates the expression of genes that are important in dopaminergic neurons. Dopamine affects the phosphorylation of CREB via G protein-coupled receptors. Neurotrophins, such as brain derived growth factor (BDNF), are critical regulators during neurodevelopment and synaptic plasticity. The CREB is one of the major regulators of neurotrophin responses since phosphorylated CREB binds to a specific sequence in the promoter of BDNF and regulates its transcription. Moreover, susceptibility genes associated with schizophrenia also target and stimulate the activity of CREB. Abnormalities of CREB expression is observed in the brain of individuals suffering from schizophrenia, and two variants (-933T to C and -413G to A) were found only in schizophrenic patients. The CREB was also involved in the therapy of animal models of schizophrenia. Collectively, these findings suggest a link between CREB and the pathophysiology of schizophrenia. This review provides an overview of CREB structure, expression, and biological functions in the brain and its interaction with dopamine signaling, neurotrophins, and susceptibility genes for schizophrenia. Animal models in which CREB function is modulated, by either overexpression of the protein or knocked down through gene deletion/mutation, implicating CREB in schizophrenia and antipsychotic drugs efficacy are also discussed. Targeting research and drug development on CREB could potentially accelerate the development of novel medications against schizophrenia.
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Affiliation(s)
- Haitao Wang
- Department of Neuropharmacology and Drug Discovery, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China
| | - Jiangping Xu
- Department of Neuropharmacology and Drug Discovery, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China
| | - Philip Lazarovici
- School of Pharmacy Institute for Drug Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Remi Quirion
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Wenhua Zheng
- Faculty of Health Sciences, University of Macau, Taipa, China
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49
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Bansal V, Mitjans M, Burik CAP, Linnér RK, Okbay A, Rietveld CA, Begemann M, Bonn S, Ripke S, de Vlaming R, Nivard MG, Ehrenreich H, Koellinger PD. Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia. Nat Commun 2018; 9:3078. [PMID: 30082721 PMCID: PMC6079028 DOI: 10.1038/s41467-018-05510-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 07/09/2018] [Indexed: 01/03/2023] Open
Abstract
Higher educational attainment (EA) is negatively associated with schizophrenia (SZ). However, recent studies found a positive genetic correlation between EA and SZ. We investigate possible causes of this counterintuitive finding using genome-wide association study results for EA and SZ (N = 443,581) and a replication cohort (1169 controls; 1067 cases) with deeply phenotyped SZ patients. We find strong genetic dependence between EA and SZ that cannot be explained by chance, linkage disequilibrium, or assortative mating. Instead, several genes seem to have pleiotropic effects on EA and SZ, but without a clear pattern of sign concordance. Using EA as a proxy phenotype, we isolate FOXO6 and SLITRK1 as novel candidate genes for SZ. Our results reveal that current SZ diagnoses aggregate over at least two disease subtypes: one part resembles high intelligence and bipolar disorder (BIP), while the other part is a cognitive disorder that is independent of BIP.
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Affiliation(s)
- V Bansal
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- Research Group for Computational Systems Biology, German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Straße 3A, 37075, Göttingen, Germany
- Institute of Medical Systems Biology, Center for Molecular Neurobiology, University Clinic Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany
| | - M Mitjans
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Humboldtallee 23, 30703, Göttingen, Germany
| | - C A P Burik
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - R K Linnér
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - A Okbay
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - C A Rietveld
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
| | - M Begemann
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- Department of Psychiatry & Psychotherapy, University of Göttingen, Von-Siebold-Straße 5, 37075, Göttingen, Germany
| | - S Bonn
- Research Group for Computational Systems Biology, German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Straße 3A, 37075, Göttingen, Germany
- Institute of Medical Systems Biology, Center for Molecular Neurobiology, University Clinic Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany
| | - S Ripke
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, 02114 MA, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, 02142 MA, Cambridge, USA
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Mitte, Berlin, 10117, Germany
| | - R de Vlaming
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - M G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
| | - H Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Humboldtallee 23, 30703, Göttingen, Germany
| | - P D Koellinger
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands.
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands.
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands.
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50
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Convergence of placenta biology and genetic risk for schizophrenia. Nat Med 2018; 24:792-801. [DOI: 10.1038/s41591-018-0021-y] [Citation(s) in RCA: 153] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 03/16/2018] [Indexed: 01/16/2023]
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