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Moyses-Oliveira M, Zamariolli M, Tempaku PF, Fernandes Galduroz JC, Andersen ML, Tufik S. Shared genetic mechanisms underlying association between sleep disturbances and depressive symptoms. Sleep Med 2024; 119:44-52. [PMID: 38640740 DOI: 10.1016/j.sleep.2024.03.030] [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: 12/07/2023] [Revised: 02/28/2024] [Accepted: 03/16/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVES Polygenic scores (PGS) for sleep disturbances and depressive symptoms in an epidemiological cohort were contrasted. The overlap between genes assigned to variants that compose the PGS predictions was tested to explore the shared genetic bases of sleep problems and depressive symptoms. METHODS PGS analysis was performed on the São Paulo Epidemiologic Sleep Study (EPISONO, N = 1042), an adult epidemiological sample. A genome wide association study (GWAS) for depression grounded the PGS calculations for Beck Depression Index (BDI), while insomnia GWAS based the PGS for Insomnia Severity Index (ISI) and Pittsburg Sleep Quality Index (PSQI). Pearson's correlation was applied to contrast PGS and clinical scores. Fisher's Exact and Benjamin-Hochberg tests were used to verify the overlaps between PGS-associated genes and the pathways enriched among their intersections. RESULTS All PGS models were significant when individuals were divided as cases or controls according to BDI (R2 = 1.2%, p = 0.00026), PSQI (R2 = 3.3%, p = 0.007) and ISI (R2 = 3.4%, p = 0.021) scales. When clinical scales were used as continuous variables, the PGS models for BDI (R2 = 1.5%, p = 0.0004) and PSQI scores (R2 = 3.3%, p = 0.0057) reached statistical significance. PSQI and BDI scores were correlated, and the same observation was applied to their PGS. Genes assigned to variants that compose the best-fit PGS predictions for sleep quality and depressive symptoms were significantly overlapped. Pathways enriched among the intersect genes are related to synapse function. CONCLUSIONS The genetic bases of sleep quality and depressive symptoms are correlated; their implicated genes are significantly overlapped and converge on neural pathways. This data suggests that sleep complaints accompanying depressive symptoms are not secondary issues, but part of the core mental illness.
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Affiliation(s)
| | - Malu Zamariolli
- Sleep Institute, Associacao Fundo de Incentivo a Pesquisa, Sao Paulo, Brazil
| | - Priscila F Tempaku
- Sleep Institute, Associacao Fundo de Incentivo a Pesquisa, Sao Paulo, Brazil
| | | | - Monica L Andersen
- Sleep Institute, Associacao Fundo de Incentivo a Pesquisa, Sao Paulo, Brazil; Departamento de Psicobiologia, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Sergio Tufik
- Sleep Institute, Associacao Fundo de Incentivo a Pesquisa, Sao Paulo, Brazil; Departamento de Psicobiologia, Universidade Federal de Sao Paulo, Sao Paulo, Brazil.
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Guimbaud JB, Siskos AP, Sakhi AK, Heude B, Sabidó E, Borràs E, Keun H, Wright J, Julvez J, Urquiza J, Gützkow KB, Chatzi L, Casas M, Bustamante M, Nieuwenhuijsen M, Vrijheid M, López-Vicente M, de Castro Pascual M, Stratakis N, Robinson O, Grazuleviciene R, Slama R, Alemany S, Basagaña X, Plantevit M, Cazabet R, Maitre L. Machine learning-based health environmental-clinical risk scores in European children. COMMUNICATIONS MEDICINE 2024; 4:98. [PMID: 38783062 PMCID: PMC11116423 DOI: 10.1038/s43856-024-00513-y] [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: 03/31/2023] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Early life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used environmental risk scores (ERS) to assess the cumulative impact of environmental exposures on health are limited by the diversity of exposures included, especially for early life determinants. We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data. METHODS In this study, we analyzed data from 1622 mother-child pairs from the HELIX European birth cohorts, using over 300 environmental, 100 child peripheral, and 18 mother-child clinical markers to compute environmental-clinical risk scores (ECRS) for child behavioral difficulties, metabolic syndrome, and lung function. ECRS were computed using LASSO, Random Forest and XGBoost. XGBoost ECRS were selected to extract local feature contributions using Shapley values and derive feature importance and interactions. RESULTS ECRS captured 13%, 50% and 4% of the variance in mental, cardiometabolic, and respiratory health, respectively. We observed no significant differences in predictive performances between the above-mentioned methods.The most important predictive features were maternal stress, noise, and lifestyle exposures for mental health; proteome (mainly IL1B) and metabolome features for cardiometabolic health; child BMI and urine metabolites for respiratory health. CONCLUSIONS Besides their usefulness for epidemiological research, our risk scores show great potential to capture holistic individual level non-hereditary risk associations that can inform practitioners about actionable factors of high-risk children. As in the post-genetic era personalized prevention medicine will focus more and more on modifiable factors, we believe that such integrative approaches will be instrumental in shaping future healthcare paradigms.
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Affiliation(s)
- Jean-Baptiste Guimbaud
- ISGlobal, Barcelona, Spain
- Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205, F-69622, Villeurbanne, France
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Meersens, Lyon, France
| | - Alexandros P Siskos
- Imperial College London, Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer, London, UK
| | | | - Barbara Heude
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre de Regulació Genòmica, Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre de Regulació Genòmica, Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Hector Keun
- Imperial College London, Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer, London, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford, UK
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Jordi Julvez
- ISGlobal, Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Leda Chatzi
- Department of Preventive Medicine, University of Southern Los Angeles, Los Angeles, CA, USA
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Mónica López-Vicente
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro Pascual
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Nikos Stratakis
- Department of Preventive Medicine, University of Southern Los Angeles, Los Angeles, CA, USA
| | - Oliver Robinson
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Mohn Centre for Children's Health and Well-being, School of Public Health, Imperial College London, London, UK
| | | | - Remy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Silvia Alemany
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Marc Plantevit
- EPITA Research Laboratory (LRE), Kremlin-Bicêtre, France
| | - Rémy Cazabet
- Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205, F-69622, Villeurbanne, France
| | - Léa Maitre
- ISGlobal, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain.
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Xenaki LA, Dimitrakopoulos S, Selakovic M, Stefanis N. Stress, Environment and Early Psychosis. Curr Neuropharmacol 2024; 22:437-460. [PMID: 37592817 PMCID: PMC10845077 DOI: 10.2174/1570159x21666230817153631] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 08/19/2023] Open
Abstract
Existing literature provides extended evidence of the close relationship between stress dysregulation, environmental insults, and psychosis onset. Early stress can sensitize genetically vulnerable individuals to future stress, modifying their risk for developing psychotic phenomena. Neurobiological substrate of the aberrant stress response to hypothalamic-pituitary-adrenal axis dysregulation, disrupted inflammation processes, oxidative stress increase, gut dysbiosis, and altered brain signaling, provides mechanistic links between environmental risk factors and the development of psychotic symptoms. Early-life and later-life exposures may act directly, accumulatively, and repeatedly during critical neurodevelopmental time windows. Environmental hazards, such as pre- and perinatal complications, traumatic experiences, psychosocial stressors, and cannabis use might negatively intervene with brain developmental trajectories and disturb the balance of important stress systems, which act together with recent life events to push the individual over the threshold for the manifestation of psychosis. The current review presents the dynamic and complex relationship between stress, environment, and psychosis onset, attempting to provide an insight into potentially modifiable factors, enhancing resilience and possibly influencing individual psychosis liability.
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Affiliation(s)
- Lida-Alkisti Xenaki
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Mirjana Selakovic
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Nikos Stefanis
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
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4
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Rejek M, Misiak B. Modelling the effects of the exposome score within the extended psychosis phenotype. J Psychiatr Res 2024; 169:22-30. [PMID: 37995498 DOI: 10.1016/j.jpsychires.2023.11.022] [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: 07/27/2023] [Revised: 10/26/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
It has been reported that cumulative measures of risk factors for psychosis might help to predict its development. However, it remains unknown as to whether these measures are also associated with the extended psychosis phenotype that refers to a continuum of features bridging subclinical symptoms with clinically relevant outcomes. In this study, we aimed to investigate the association of the exposome score (ES) with psychosis risk in a non-clinical population. A total of 1100 non-clinical adults (aged 18-35 years, 51.4% females) with a negative history of psychiatric treatment were recruited. The Prodromal Questionnaire-16 (PQ-16) was used to screen for psychosis risk. Self-reports were used to record environmental exposures. The ES was significantly higher in participants with the positive PQ-16 screening. Specifically, the prevalence of obstetric complications, non-right handedness, all categories of childhood trauma, and problematic cannabis use was significantly higher in this group of participants. A network analysis demonstrated that the ES was directly connected not only to items representing psychotic experiences ("paranoid thoughts", "a lack of control over own ideas or thoughts", "thought echo", and "being distracted by distant sounds") but also those covering depressive or anxiety symptoms ("uninterested in things used to enjoy" and "feeling anxious when meeting people for the first time"). In conclusion, the ES is associated with the extended psychosis phenotype, suggesting its potential to identify individuals who may benefit from further psychosis risk assessment. The ES appears to contribute to non-specific psychopathology, which may, in some cases, progress to psychosis.
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Affiliation(s)
- Maksymilian Rejek
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
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Korann V, Thonse U, Garani R, Jacob A, Ramkiran S, Praharaj SK, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao NP. Association between urban upbringing and functional brain connectivity in schizophrenia. Indian J Psychiatry 2024; 66:71-81. [PMID: 38419936 PMCID: PMC10898520 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_560_23] [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: 07/27/2023] [Revised: 11/26/2023] [Accepted: 12/25/2023] [Indexed: 03/02/2024] Open
Abstract
Background Environmental factors considerably influence the development of the human cortex during the perinatal period, early childhood, and adolescence. Urban upbringing in the first 15 years of life is a known risk factor for schizophrenia (SCZ). Though the risk of urban birth and upbringing is well-examined from an epidemiological perspective, the biological mechanisms underlying urban upbringing remain unknown. The effect of urban birth and upbringing on functional brain connectivity in SCZ patients is not yet examined. Methods This is a secondary data analysis of three studies that included 87 patients with SCZ and 70 healthy volunteers (HV) aged 18 to 50 years. We calculated the developmental urbanicity index using a validated method in earlier studies. Following standard pre-processing of resting functional magnetic resonance imaging (fMRI) scans, seed-return on investment (ROI) functional connectivity analysis was performed. Results The results showed a significant association between urban birth and upbringing on functional connectivity in SCZ patients and HV (P < 0.05). In SCZ patients, connections from the right caudate, anterior cingulate cortex, left and right intracalcarine cortices, left and right lingual gyri, left posterior parahippocampal cortex to the cerebellum, fusiform gyri, lateral occipital cortex, and amygdala were significantly associated with the urbanicity index (P < 0.05). Conclusions These study findings suggest a significant association between urban birth and upbringing on functional brain connectivity in regions involved in reward processing and social cognition in SCZ. Assessment of social cognition could have implications in developing an in-depth understanding of this impairment in persons with SCZ.
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Affiliation(s)
- Vittal Korann
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Umesh Thonse
- Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Ranjini Garani
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
- Douglas Research Centre, Montreal, Quebec, Canada
| | - Arpitha Jacob
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Shukti Ramkiran
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Samir K. Praharaj
- Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Rose D. Bharath
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Vijay Kumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Shivarama Varambally
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Naren P. Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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Merritt K, Luque Laguna P, Sethi A, Drakesmith M, Ashley SA, Bloomfield M, Fonville L, Perry G, Lancaster T, Dimitriadis SI, Zammit S, Evans CJ, Lewis G, Kempton MJ, Linden DEJ, Reichenberg A, Jones DK, David AS. The impact of cumulative obstetric complications and childhood trauma on brain volume in young people with psychotic experiences. Mol Psychiatry 2023; 28:3688-3697. [PMID: 37903876 PMCID: PMC10730393 DOI: 10.1038/s41380-023-02295-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 09/28/2023] [Accepted: 10/06/2023] [Indexed: 11/01/2023]
Abstract
Psychotic experiences (PEs) occur in 5-10% of the general population and are associated with exposure to childhood trauma and obstetric complications. However, the neurobiological mechanisms underlying these associations are unclear. Using the Avon Longitudinal Study of Parents and Children (ALSPAC), we studied 138 young people aged 20 with PEs (n = 49 suspected, n = 53 definite, n = 36 psychotic disorder) and 275 controls. Voxel-based morphometry assessed whether MRI measures of grey matter volume were associated with (i) PEs, (ii) cumulative childhood psychological trauma (weighted summary score of 6 trauma types), (iii) cumulative pre/peri-natal risk factors for psychosis (weighted summary score of 16 risk factors), and (iv) the interaction between PEs and cumulative trauma or pre/peri-natal risk. PEs were associated with smaller left posterior cingulate (pFWE < 0.001, Z = 4.19) and thalamus volumes (pFWE = 0.006, Z = 3.91). Cumulative pre/perinatal risk was associated with smaller left subgenual cingulate volume (pFWE < 0.001, Z = 4.54). A significant interaction between PEs and cumulative pre/perinatal risk found larger striatum (pFWE = 0.04, Z = 3.89) and smaller right insula volume extending into the supramarginal gyrus and superior temporal gyrus (pFWE = 0.002, Z = 4.79), specifically in those with definite PEs and psychotic disorder. Cumulative childhood trauma was associated with larger left dorsal striatum (pFWE = 0.002, Z = 3.65), right prefrontal cortex (pFWE < 0.001, Z = 4.63) and smaller left insula volume in all participants (pFWE = 0.03, Z = 3.60), and there was no interaction with PEs group. In summary, pre/peri-natal risk factors and childhood psychological trauma impact similar brain pathways, namely smaller insula and larger striatum volumes. The effect of pre/perinatal risk was greatest in those with more severe PEs, whereas effects of trauma were seen in all participants. In conclusion, environmental risk factors affect brain networks implicated in schizophrenia, which may increase an individual's propensity to develop later psychotic disorders.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK.
| | - Pedro Luque Laguna
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Arjun Sethi
- Department of Forensic & Neurodevelopmental Sciences, IOPPN, King's College London, London, UK
| | - Mark Drakesmith
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Sarah A Ashley
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Michael Bloomfield
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | | | - Gavin Perry
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Tom Lancaster
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
- Department of Psychology, Bath University, Bath, UK
| | - Stavros I Dimitriadis
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
- Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Spain
| | - Stanley Zammit
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
- Bristol Medical School (PHS), University of Bristol, Bristol, UK
| | - C John Evans
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Glyn Lewis
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Matthew J Kempton
- Psychosis Studies Department, IOPPN, King's College London, London, UK
| | - David E J Linden
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Derek K Jones
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Anthony S David
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK
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7
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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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8
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Di Prinzio P, Björk J, Valuri G, Ambrosi T, Croft M, Morgan VA. Development and initial validation of a multivariable predictive Early Adversity Scale for Schizophrenia (EAS-Sz) using register data to quantify environmental risk for adult schizophrenia diagnosis after childhood exposure to adversity. Psychol Med 2023; 53:4990-5000. [PMID: 35817425 PMCID: PMC10476059 DOI: 10.1017/s0033291722001945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data from cross-linked electronic health and social services registers. METHOD A cohort of N = 428 970 Western Australian children born 1980-2001 was partitioned into three samples: scale development sample (N = 171 588), and two scale validation samples (each N = 128 691). Measures of adversity were defined before a child's 10th birthday from five domains: discontinuity in parenting, family functioning, family structure, area-level socioeconomic/demographic environment and family-level sociodemographic status. Using Cox proportional hazards modelling of follow-up time from 10th birthday to schizophrenia diagnosis or censorship, weighted combinations of measures were firstly developed into scales for each domain, then combined into a final global scale. Discrimination and calibration performance were validated using Harrell's C and graphical assessment respectively. RESULTS A weighted combination of 42 measures of childhood adversity was derived from the development sample. Independent application to identical measures in validation samples produced Harrell's Concordance statistics of 0.656 and 0.624. Average predicted time to diagnosis curves corresponded with 95% CI limits of observed Kaplan-Meier curves in five prognostic categories. CONCLUSIONS Our Early Adversity Scale for Schizophrenia (EAS-Sz), the first using routinely collected register data, predicts schizophrenia diagnosis above chance, and has potential to help untangle contributions of genetic and environmental liability to schizophrenia risk.
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Affiliation(s)
- Patsy Di Prinzio
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Jonas Björk
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Giulietta Valuri
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Taryn Ambrosi
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Maxine Croft
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Vera A. Morgan
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, Australia
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9
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Misiak B, Samochowiec J, Kowalski K, Gaebel W, Bassetti CLA, Chan A, Gorwood P, Papiol S, Dom G, Volpe U, Szulc A, Kurimay T, Kärkkäinen H, Decraene A, Wisse J, Fiorillo A, Falkai P. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia. Eur Psychiatry 2023; 66:e58. [PMID: 37476977 PMCID: PMC10486256 DOI: 10.1192/j.eurpsy.2023.2432] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/12/2023] [Accepted: 06/14/2023] [Indexed: 07/22/2023] Open
Abstract
The ongoing developments of psychiatric classification systems have largely improved reliability of diagnosis, including that of schizophrenia. However, with an unknown pathophysiology and lacking biomarkers, its validity still remains low, requiring further advancements. Research has helped establish multiple sclerosis (MS) as the central nervous system (CNS) disorder with an established pathophysiology, defined biomarkers and therefore good validity and significantly improved treatment options. Before proposing next steps in research that aim to improve the diagnostic process of schizophrenia, it is imperative to recognize its clinical heterogeneity. Indeed, individuals with schizophrenia show high interindividual variability in terms of symptomatic manifestation, response to treatment, course of illness and functional outcomes. There is also a multiplicity of risk factors that contribute to the development of schizophrenia. Moreover, accumulating evidence indicates that several dimensions of psychopathology and risk factors cross current diagnostic categorizations. Schizophrenia shares a number of similarities with MS, which is a demyelinating disease of the CNS. These similarities appear in the context of age of onset, geographical distribution, involvement of immune-inflammatory processes, neurocognitive impairment and various trajectories of illness course. This article provides a critical appraisal of diagnostic process in schizophrenia, taking into consideration advancements that have been made in the diagnosis and management of MS. Based on the comparison between the two disorders, key directions for studies that aim to improve diagnostic process in schizophrenia are formulated. All of them converge on the necessity to deconstruct the psychosis spectrum and adopt dimensional approaches with deep phenotyping to refine current diagnostic boundaries.
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Affiliation(s)
- Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | | | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Düsseldorf, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- WHO Collaborating Centre on Quality Assurance and Empowerment in Mental Health, DEU-131, Düsseldorf, Germany
| | - Claudio L. A. Bassetti
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy-Center, Inselspital, Bern University Hospital, University Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
| | - Philip Gorwood
- Université Paris Cité, INSERM, U1266 (Institute of Psychiatry and Neuroscience of Paris), Paris, France
- CMME, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Sergi Papiol
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Geert Dom
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, B-2610Antwerp, Belgium
- Multiversum Psychiatric Hospital, B-2530Boechout, Belgium
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, 60126Ancona, Italy
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Tamas Kurimay
- Department of Psychiatry, St. Janos Hospital, Budapest, Hungary
| | | | - Andre Decraene
- European Federation of Associations of Families of People with Mental Illness (EUFAMI), Leuven, Belgium
| | - Jan Wisse
- Century House, Wargrave Road, Henley-on-Thames, OxfordshireRG9 2LT, UK
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336Munich, Germany
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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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11
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Cáceres A, Carreras-Gallo N, Andrusaityte S, Bustamante M, Carracedo Á, Chatzi L, Dwaraka VB, Grazuleviciene R, Gutzkow KB, Lepeule J, Maitre L, Mendez TL, Nieuwenhuijsen M, Slama R, Smith R, Stratakis N, Thomsen C, Urquiza J, Went H, Wright J, Yang T, Casas M, Vrijheid M, González JR. Prenatal environmental exposures associated with sex differences in childhood obesity and neurodevelopment. BMC Med 2023; 21:142. [PMID: 37046291 PMCID: PMC10099694 DOI: 10.1186/s12916-023-02815-9] [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] [Received: 11/02/2022] [Accepted: 03/06/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Obesity and neurodevelopmental delay are complex traits that often co-occur and differ between boys and girls. Prenatal exposures are believed to influence children's obesity, but it is unknown whether exposures of pregnant mothers can confer a different risk of obesity between sexes, and whether they can affect neurodevelopment. METHODS We analyzed data from 1044 children from the HELIX project, comprising 93 exposures during pregnancy, and clinical, neuropsychological, and methylation data during childhood (5-11 years). Using exposome-wide interaction analyses, we identified prenatal exposures with the highest sexual dimorphism in obesity risk, which were used to create a multiexposure profile. We applied causal random forest to classify individuals into two environments: E1 and E0. E1 consists of a combination of exposure levels where girls have significantly less risk of obesity than boys, as compared to E0, which consists of the remaining combination of exposure levels. We investigated whether the association between sex and neurodevelopmental delay also differed between E0 and E1. We used methylation data to perform an epigenome-wide association study between the environments to see the effect of belonging to E1 or E0 at the molecular level. RESULTS We observed that E1 was defined by the combination of low dairy consumption, non-smokers' cotinine levels in blood, low facility richness, and the presence of green spaces during pregnancy (ORinteraction = 0.070, P = 2.59 × 10-5). E1 was also associated with a lower risk of neurodevelopmental delay in girls, based on neuropsychological tests of non-verbal intelligence (ORinteraction = 0.42, P = 0.047) and working memory (ORinteraction = 0.31, P = 0.02). In line with this, several neurodevelopmental functions were enriched in significant differentially methylated probes between E1 and E0. CONCLUSIONS The risk of obesity can be different for boys and girls in certain prenatal environments. We identified an environment combining four exposure levels that protect girls from obesity and neurodevelopment delay. The combination of single exposures into multiexposure profiles using causal inference can help determine populations at risk.
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Affiliation(s)
- Alejandro Cáceres
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain.
- Department of Mathematics, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya, 08019, Barcelona, Spain.
| | | | - Sandra Andrusaityte
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Mariona Bustamante
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona, Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ángel Carracedo
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), CIMUS, University of Santiago de Compostela, Santiago de Compostela, Spain
- Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Servicio Gallego de Salud (SERGAS), Galicia, Santiago de Compostela, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | | | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Kristine Bjerve Gutzkow
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway
| | - Johanna Lepeule
- Institut National de La Santé Et de La Recherche Médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Léa Maitre
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | | | - Mark Nieuwenhuijsen
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Remy Slama
- Institut National de La Santé Et de La Recherche Médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | | | - Nikos Stratakis
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
| | - Cathrine Thomsen
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway
| | - Jose Urquiza
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | | | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Maribel Casas
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Martine Vrijheid
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Juan R González
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain.
- Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona , Spain.
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12
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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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13
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Erzin G, Pries LK, Dimitrakopoulos S, Ralli I, Xenaki LA, Soldatos R–F, Vlachos I, Selakovic M, Foteli S, Kosteletos I, Nianiakas N, Mantonakis L, Rizos E, Kollias K, Van Os J, Guloksuz S, Stefanis N. Association between exposome score for schizophrenia and functioning in first-episode psychosis: results from the Athens first-episode psychosis research study. Psychol Med 2023; 53:2609-2618. [PMID: 34789350 PMCID: PMC10123830 DOI: 10.1017/s0033291721004542] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Evidence suggests that environmental factors not only increase psychosis liability but also influence the prognosis and outcomes of psychotic disorders. We investigated temporal and cross-sectional associations of a weighted score of cumulative environmental liability for schizophrenia - the exposome score for schizophrenia (ES-SCZ) - with functioning in first-episode psychosis (FEP). METHODS Data were derived from the baseline and 1-month assessments of the Athens FEP Research Study that enrolled 225 individuals with FEP. The Global Assessment of Functioning (GAF) and the Personal and Social Performance Scale (PSP) were used to measure social, occupational, and psychological functioning. The ES-SCZ was calculated based on the previously validated method. RESULTS ES-SCZ was associated with the total scores of GAF and PSP at baseline and 1-month assessments. These findings remained significant when accounting for several associated alternative explanatory variables, including other environmental factors (obstetric complications, migration, ethnic minority), clinical characteristics (duration of untreated psychosis, symptom severity, previous antipsychotic use), and family history of psychosis, demonstrating that the association between ES-SCZ and functioning is over and above other risk factors and cannot be explained by symptom severity alone. Functioning improved from baseline to 1-month assessment, but no significant ES-SCZ-by-time interaction was found on functioning, indicating that functioning changes were not contingent on ES-SCZ. CONCLUSIONS Our findings suggest that rather than a predictor of functional improvement, ES-SCZ represents a stable severity indicator that captures poor functioning in early psychosis. Environmental risk loading for schizophrenia (ES-SCZ) can be beneficial for clinical characterization and incorporated into transdiagnostic staging models.
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Affiliation(s)
- Gamze Erzin
- Department of Psychiatry, University of Health Sciences Ankara Diskapi Training and Research Hospital, Ankara, Turkey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
- Psychiatric Clinic, 414 Military Hospital of Athens, Penteli, Greece
| | - Irene Ralli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Lida-Alkisti Xenaki
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Rigas – Filippos Soldatos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Ilias Vlachos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Mirjana Selakovic
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Stefania Foteli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Ioannis Kosteletos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Nikos Nianiakas
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Leonidas Mantonakis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Emmanouil Rizos
- Second Department of Psychiatry, National and Kapodistrian University of Athens Medical School, ‘ATTIKON’ University Hospital, Athens, Greece
| | - Konstantinos Kollias
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Jim Van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nikos Stefanis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
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14
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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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15
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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; 53:1-10. [PMID: 36876482 DOI: 10.1017/s0033291723000351] [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: 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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16
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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: 6] [Impact Index Per Article: 6.0] [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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17
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Silveira PP, Meaney MJ. Examining the biological mechanisms of human mental disorders resulting from gene-environment interdependence using novel functional genomic approaches. Neurobiol Dis 2023; 178:106008. [PMID: 36690304 DOI: 10.1016/j.nbd.2023.106008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/30/2022] [Accepted: 01/18/2023] [Indexed: 01/21/2023] Open
Abstract
We explore how functional genomics approaches that integrate datasets from human and non-human model systems can improve our understanding of the effect of gene-environment interplay on the risk for mental disorders. We start by briefly defining the G-E paradigm and its challenges and then discuss the different levels of regulation of gene expression and the corresponding data existing in humans (genome wide genotyping, transcriptomics, DNA methylation, chromatin modifications, chromosome conformational changes, non-coding RNAs, proteomics and metabolomics), discussing novel approaches to the application of these data in the study of the origins of mental health. Finally, we discuss the multilevel integration of diverse types of data. Advance in the use of functional genomics in the context of a G-E perspective improves the detection of vulnerabilities, informing the development of preventive and therapeutic interventions.
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Affiliation(s)
- Patrícia Pelufo Silveira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore; Brain - Body Initiative, Agency for Science, Technology and Research (ASTAR), Singapore.
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18
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Yu XH, Cao HW, Bo L, Lei SF, Deng FY. Air pollution, genetic factors and the risk of osteoporosis: A prospective study in the UK biobank. Front Public Health 2023; 11:1119774. [PMID: 37026121 PMCID: PMC10071034 DOI: 10.3389/fpubh.2023.1119774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/02/2023] [Indexed: 04/08/2023] Open
Abstract
Purpose To reveal relationship between air pollution exposure and osteoporosis (OP) risk. Methods Based on large-scale data from the UK Biobank, we evaluated the relationship between OP risk and several air pollutants. Then air pollution scores (APS) were constructed to assess the combined effects of multiple air pollutants on OP risk. Finally, we constructed a genetic risk score (GRS) based on a large genome-wide association study of femoral neck bone mineral density and assessed whether single or combined exposure to air pollutants modifies the effect of genetic risk on OP and fracture risk. Results PM2.5, NO2, NOx, and APS were significantly associated with an increased risk of OP/fracture. OP and fracture risk raised with increasing concentrations of air pollutants: compared to the lowest APS quintile group, subjects in the highest quintile group had a hazard ratio (HR) (95% CI) estimated at 1.140 (1.072-1.213) for OP and 1.080 (1.026-1.136) for fracture. Moreover, participants with low GRS and the highest air pollutant concentration had the highest risk of OP, the HRs (95% CI) of OP were 1.706 (1.483-1.964), 1.658 (1.434-1.916), 1.696 (1.478-1.947), 1.740 (1.506-2.001) and 1.659 (1.442-1.908), respectively, for PM2.5, PM10, PM2.5-10, NO2, and NOx. Similar results were also observed for fractures. Finally, we assessed the joint effect of APS and GRS on the risk of OP. Participants with higher APS and lower GRS had a higher risk of developing OP. Similar results were observed in the joint effect of GRS and APS on fracture. Conclusions We found that exposure to air pollution, individually or jointly, could improve the risk of developing OP and fractures, and increased the risk by interacting with genetic factors.
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Affiliation(s)
- Xing-Hao Yu
- School of Public Health, Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, China
| | - Han-Wen Cao
- School of Public Health, Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, China
| | - Lin Bo
- Department of Rheumatology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Shu-Feng Lei
- School of Public Health, Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, China
- Collaborative Innovation Center of Bone and Immunity Between Sihong Hospital and Soochow University, Jiangsu, China
- Shu-Feng Lei
| | - Fei-Yan Deng
- School of Public Health, Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, China
- *Correspondence: Fei-Yan Deng
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19
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Hosak L, Hosakova K, Malekirad M, Kamaradova Koncelikova D, Zapletalova J, Latalova K. Environmental Factors in the Etiology of Mental Disorders in the Czech Republic. Neuropsychiatr Dis Treat 2023; 19:349-359. [PMID: 36785848 PMCID: PMC9922064 DOI: 10.2147/ndt.s379811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 12/24/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Both genetic and environmental factors are important in etiology of mental disorders. Calculating polyenviromic risk/protective scores provides an updated perspective in research on the environmental causes of psychiatric disorders. We aimed to compare environmental risk and protective factors in patients with psychosis or a mood disorder (PSYCH+MOOD) and those with an anxiety disorder (ANX). METHODS We administered the internationally accepted questionnaire from the EUropean Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study, enriched with mood and anxiety disorder-relevant measures, to patients at two large university hospitals in the Czech Republic. RESULTS Ninety-four PSYCH+MOOD patients (average age 42.5 years; 46 males) and 52 ANX patients (average age 47.2 years; 17 males) participated. Neither polyenviromic risk score nor polyenviromic protective score differed significantly between PSYCH+MOOD and ANX groups (p = 0.149; p = 0.466, respectively). CONCLUSION Scientific validity of the polyenviromic risk/protective score construct must still be demonstrated in large psychiatric samples, ideally in prospective studies. Nevertheless, researchers have already started to investigate environmental factors in the etiology of mental disorders in their complexity, similarly to polygenic risk scores.
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Affiliation(s)
- Ladislav Hosak
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital, Hradec Kralove, Czech Republic
| | - Kristyna Hosakova
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital, Hradec Kralove, Czech Republic
| | - Mohammad Malekirad
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital, Hradec Kralove, Czech Republic
| | - Dana Kamaradova Koncelikova
- Department of Psychiatry, Palacky University Olomouc, Faculty of Medicine and Dentistry and University Hospital, Olomouc, Czech Republic
| | - Jana Zapletalova
- Department of Medical Biophysics, Palacky University Olomouc, Faculty of Medicine and Dentistry, Olomouc, Czech Republic
| | - Klara Latalova
- Department of Psychiatry, Palacky University Olomouc, Faculty of Medicine and Dentistry and University Hospital, Olomouc, Czech Republic
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20
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Tran The J, Magistretti PJ, Ansermet F. The critical periods of cerebral plasticity: A key aspect in a dialog between psychoanalysis and neuroscience centered on the psychopathology of schizophrenia. Front Mol Neurosci 2022; 15:1057539. [PMID: 36590919 PMCID: PMC9795046 DOI: 10.3389/fnmol.2022.1057539] [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: 10/06/2022] [Accepted: 11/11/2022] [Indexed: 12/15/2022] Open
Abstract
Through research into the molecular and cellular mechanisms that occur during critical periods, recent experimental neurobiological data have brought to light the importance of early childhood. These have demonstrated that childhood and early environmental stimuli play a part not only in our subjective construction, but also in brain development; thus, confirming Freud's intuition regarding the central role of childhood and early experiences of the environment in our psychological development and our subjective outcomes. "Critical periods" of cerebral development represent temporal windows that mark favorable, but also circumscribed, moments in developmental cerebral plasticity. They also vary between different cortical areas. There are, therefore, strictly defined temporal periods for learning language, music, etc., after which this learning becomes more difficult, or even impossible, to acquire. Now, research into these critical periods can be seen as having a significant part to play in the interdisciplinary dialog between psychoanalysis and neurosciences with regard to the role of early experiences in the etiology of some psychopathological conditions. Research into the cellular and molecular mechanisms controlling the onset and end of these critical periods, notably controlled by the maturation of parvalbumin-expressing basket cells, have brought to light the presence of anomalies in the maturation of these neurons in patients with schizophrenia. Starting from these findings we propose revisiting the psychoanalytic theories on the etiology of psychosis from an interdisciplinary perspective. Our study works from the observation, common to both psychoanalysis and neurosciences, that experience leaves a trace; be it a "psychic" or a "synaptic" trace. Thus, we develop a hypothesis for an "absence of trace" in psychosis; reexamining psychosis through the prism of the biological theory of critical periods in plasticity.
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Affiliation(s)
- Jessica Tran The
- INSERM U1077 Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France,Ecole Pratique des Hautes Etudes, Université Paris Sciences et Lettres, Paris, France,UFR de Psychologie, Université de Caen Normandie, Caen, France,Centre Hospitalier Universitaire de Caen, Caen, France,Cyceron, Caen, France,Agalma Foundation Geneva, Chemin des Mines, Switzerland,*Correspondence: Jessica Tran The,
| | - Pierre J. Magistretti
- Agalma Foundation Geneva, Chemin des Mines, Switzerland,Brain Mind Institute, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland,Division of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Francois Ansermet
- Agalma Foundation Geneva, Chemin des Mines, Switzerland,Département de Psychiatrie, Faculté de Médecine, Université de Genève, Geneva, Switzerland
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21
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Penzel N, Sanfelici R, Antonucci LA, Betz LT, Dwyer D, Ruef A, Cho KIK, Cumming P, Pogarell O, Howes O, Falkai P, Upthegrove R, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Schultze-Lutter F, Rosen M, Lichtenstein T, Kambeitz-Ilankovic L, Ruhrmann S, Salokangas RKR, Pantelis C, Wood SJ, Quednow BB, Pergola G, Bertolino A, Koutsouleris N, Kambeitz J, Dwyer D, Ruef A, Kambeitz-Ilankovic L, Sen Dong M, Erkens A, Gussmann E, Haas S, Hasan A, Hoff C, Khanyaree I, Melo A, Muckenhuber-Sternbauer S, Kohler J, Ozturk OF, Popovic D, Rangnick A, von Saldern S, Sanfelici R, Spangemacher M, Tupac A, Urquijo MF, Weiske J, Wosgien A, Kambeitz J, Ruhrmann S, Rosen M, Betz L, Lichtenstein T, Blume K, Seves M, Kaiser N, Penzel N, Pilgram T, Lichtenstein T, Wenzel J, Woopen C, Borgwardt S, Andreou C, Egloff L, Harrisberger F, Lenz C, Leanza L, Mackintosh A, Smieskova R, Studerus E, Walter A, Widmayer S, Upthegrove R, Wood SJ, Chisholm K, Day C, Griffiths SL, Lalousis PA, Iqbal M, Pelton M, Mallikarjun P, Stainton A, Lin A, Salokangas RKR, Denissoff A, Ellila A, From T, Heinimaa M, Ilonen T, Jalo P, Laurikainen H, Lehtinen M, Luutonen A, Makela A, Paju J, Pesonen H, Armio Säilä RL, Sormunen E, Toivonen A, Turtonen O, Solana AB, Abraham M, Hehn N, Schirmer T, Brambilla P, Altamura C, Belleri M, Bottinelli F, Ferro A, Re M, Monzani E, Percudani M, Sberna M, D’Agostino A, Del Fabro L, Perna G, Nobile M, Alciati A, Balestrieri M, Bonivento C, Cabras G, Fabbro F, Garzitto M, PiCCuin S, Bertolino A, Blasi G, Antonucci LA, Pergola G, Caforio G, Faio L, Quarto T, Gelao B, Romano R, Andriola I, Falsetti A, Barone M, Passatiore R, Sangiuliano M, Lencer R, Surman M, Bienek O, Romer G, Dannlowski U, Meisenzahl E, Schultze-Lutter F, Schmidt-Kraepelin C, Neufang S, Korda A, Rohner H. Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:19. [PMID: 35264631 PMCID: PMC8907166 DOI: 10.1038/s41537-022-00218-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/31/2022] [Indexed: 11/09/2022]
Abstract
Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to predict CCu in these vulnerable patient groups. In the current study, we investigated how structured clinical and cognitive assessments and structural magnetic resonance imaging (sMRI) contributed to the prediction of CCu in a group of 109 patients with recent-onset psychosis (ROP). We tested the generalizability of our predictors in 73 patients at clinical high-risk for psychosis (CHR). Here, CCu was defined as any cannabis consumption between baseline and 9-month follow-up, as assessed in structured interviews. All patients reported lifetime cannabis use at baseline. Data from clinical assessment alone correctly classified 73% (p < 0.001) of ROP and 59 % of CHR patients. The classifications of CCu based on sMRI and cognition were non-significant (ps > 0.093), and their addition to the interview-based predictor via stacking did not improve prediction significantly, either in the ROP or CHR groups (ps > 0.065). Lower functioning, specific substance use patterns, urbanicity and a lack of other coping strategies contributed reliably to the prediction of CCu and might thus represent important factors for guiding preventative efforts. Our results suggest that it may be possible to identify by clinical measures those psychosis-spectrum patients at high risk for CCu, potentially allowing to improve clinical care through targeted interventions. However, our model needs further testing in larger samples including more diverse clinical populations before being transferred into clinical practice.
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Affiliation(s)
- Nora Penzel
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany
| | - Linda A Antonucci
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Department of Education, Psychology, Communication, University of Bari, Bari, Italy
| | - Linda T Betz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland.,School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia.,International Research Lab in Neuropsychiatry, Neuroscience Research Institute, Samara State Medical University, Samara, Russia
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, W12 0NN, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, UK.,Early Intervention Service, Birmingham Womens and Childrens NHS Foundation Trust, Birmingham, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCUS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.,Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.,Otto Creutzfeldt Center for Behavioral and Cognitive Neuroscience, University of Münster, Münster, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.,Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marlene Rosen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Theresa Lichtenstein
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Stephan Ruhrmann
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Stephen J Wood
- Institute for Mental Health, University of Birmingham, Birmingham, UK.,Orygen, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital of the University of Zurich, Lenggstr. 31, 8032, Zurich, Switzerland
| | - Giulio Pergola
- Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Alessandro Bertolino
- Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany.,Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, UK
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, 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: 2.0] [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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Tavares V, Vassos E, Marquand A, Stone J, Valli I, Barker GJ, Ferreira H, Prata D. Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data. Front Psychiatry 2022; 13:1086038. [PMID: 36741573 PMCID: PMC9892839 DOI: 10.3389/fpsyt.2022.1086038] [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: 10/31/2022] [Accepted: 12/29/2022] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION Psychosis is usually preceded by a prodromal phase in which patients are clinically identified as being at in an "At Risk Mental State" (ARMS). A few studies have demonstrated the feasibility of predicting psychosis transition from an ARMS using structural magnetic resonance imaging (sMRI) data and machine learning (ML) methods. However, the reliability of these findings is unclear due to possible sampling bias. Moreover, the value of genetic and environmental data in predicting transition to psychosis from an ARMS is yet to be explored. METHODS In this study we aimed to predict transition to psychosis from an ARMS using a combination of ML, sMRI, genome-wide genotypes, and environmental risk factors as predictors, in a sample drawn from a pool of 246 ARMS subjects (60 of whom later transitioned to psychosis). First, the modality-specific values in predicting transition to psychosis were evaluated using several: (a) feature types; (b) feature manipulation strategies; (c) ML algorithms; (d) cross-validation strategies, as well as sample balancing and bootstrapping. Subsequently, the modalities whose at least 60% of the classification models showed an balanced accuracy (BAC) statistically better than chance level were included in a multimodal classification model. RESULTS AND DISCUSSION Results showed that none of the modalities alone, i.e., neuroimaging, genetic or environmental data, could predict psychosis from an ARMS statistically better than chance and, as such, no multimodal classification model was trained/tested. These results suggest that the value of structural MRI data and genome-wide genotypes in predicting psychosis from an ARMS, which has been fostered by previous evidence, should be reconsidered.
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Affiliation(s)
- Vânia Tavares
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.,Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health System Trust, London, United Kingdom
| | - Andre Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, Netherlands
| | - James Stone
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Hugo Ferreira
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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24
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Chesney E, Oliver D, McGuire P. Cannabidiol (CBD) as a novel treatment in the early phases of psychosis. Psychopharmacology (Berl) 2022; 239:1179-1190. [PMID: 34255100 PMCID: PMC9110455 DOI: 10.1007/s00213-021-05905-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 06/15/2021] [Indexed: 11/29/2022]
Abstract
The pharmacological interventions available for individuals in the early stages of psychosis are extremely limited. For those at clinical high risk for psychosis, there is no licensed treatment available. For those with first-episode psychosis, all licensed antipsychotic medications act via dopamine D2 receptors. While treatment with antipsychotics is transformative in some patients, in others, it is ineffective. In addition, these medications can often cause adverse effects which make patients reluctant to take them. This is a particular problem in the early phases of psychosis, when patients are being treated for the first time, as unpleasant experiences may colour their future attitude towards treatment. Recent research has suggested that cannabidiol (CBD), a compound found in the Cannabis sativa plant, may have antipsychotic effects and relatively few adverse effects and could therefore be an ideal treatment for the early phases of psychosis, when minimising adverse effects is a clinical priority. In this review, we consider CBD's potential as a treatment in the clinical high risk and first-episode stages of psychosis. First, we describe the limitations of existing treatments at these two stages. We then describe what is known of CBD's mechanisms of action, effectiveness as a treatment for psychosis, adverse effects and acceptability to patients. We discuss how some of the outstanding issues about the utility of CBD in the early phases of psychosis may be resolved through ongoing clinical trials. Finally, we consider the impact of recreational cannabis use and over-the-counter cannabinoids preparations and discuss the potential therapeutic role of other compounds that modulate the endocannabinoid system in psychosis.
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Affiliation(s)
- Edward Chesney
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- South London and Maudsley NHS Foundation Trust, London, UK.
| | - Dominic Oliver
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research Maudsley Biomedical Research Centre, London, UK
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25
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Developmental Psychotic Risk: Toward a Neurodevelopmentally Informed Staging of Vulnerability to Psychosis. Harv Rev Psychiatry 2021; 28:271-278. [PMID: 32692090 DOI: 10.1097/hrp.0000000000000266] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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26
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Polyenvironmental and polygenic risk scores and the emergence of psychotic experiences in adolescents. J Psychiatr Res 2021; 142:384-388. [PMID: 34450553 DOI: 10.1016/j.jpsychires.2021.07.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/15/2021] [Accepted: 07/31/2021] [Indexed: 11/21/2022]
Abstract
Psychotic experiences (PE) are forms of hallucinations and delusions neither reaching the intensity and functional impairment required to be regarded as full psychotic symptoms nor a psychotic disorder. Here we investigated the ability to predict PE using multiple models (regressions, mediation and moderation) using polygenic risk score for psychotic experiences (PE-PRS), polygenic risk score for schizophrenia (SCZ-PRS), and polyenvironmental risk score (PERS) in youth from a Brazilian sample. The scores were not able to predict outcome, either when both scores were combined (PERS + PE-PRS and PERS + SCZ-PRS) or separately. Our results show that there is no association between PE and PRS or PERS among adolescents in our Brazilian sample. The lack of association may be a result of the absence of better representativeness regarding genetic and environmental factors of our population.
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27
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Polari A, Yuen HP, Amminger P, Berger G, Chen E, deHaan L, Hartmann J, Markulev C, McGorry P, Nieman D, Nordentoft M, Riecher-Rössler A, Smesny S, Stratford J, Verma S, Yung A, Lavoie S, Nelson B. Prediction of clinical outcomes beyond psychosis in the ultra-high risk for psychosis population. Early Interv Psychiatry 2021; 15:642-651. [PMID: 32558302 DOI: 10.1111/eip.13002] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/16/2020] [Accepted: 05/18/2020] [Indexed: 12/11/2022]
Abstract
AIM Several prediction models have been introduced to identify young people at greatest risk of transitioning to psychosis. To date, none has examined the possibility of developing a clinical prediction model of outcomes other than transition. The aims of this study were to examine the association between baseline clinical predictors and outcomes including, but not limited to, transition to psychosis in young people at risk for psychosis, and to develop a prediction model for these outcomes. METHODS Several evidence-based variables previously associated with transition to psychosis and some important clinical comorbidities experienced by ultra-high risk (UHR) individuals were identified in 202 UHR individuals. Secondary analysis of the Neurapro clinical trial were conducted to investigate the associations between these variables and favourable (remission and recovery) or unfavourable (transition to psychosis, no remission, any recurrence and relapse) clinical outcomes. Logistic regression, best subset selection, Akaike Information Criterion and receiver operating characteristic curves were used to seek the best prediction model for clinical outcomes from all combinations of possible predictors. RESULTS When considered individually, only higher general psychopathology levels (P = .023) was associated with the unfavourable outcomes. Prediction models suggest that general psychopathology and functioning are predictive of unfavourable outcomes. CONCLUSION The predictive performance of the resulting models was modest and further research is needed. Nonetheless, when designing early intervention centres aiming to support individuals in the early phases of a mental disorder, the proper assessment of general psychopathology and functioning should be considered in order to inform interventions and length of care provided.
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Affiliation(s)
| | - Hok Pan Yuen
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Amminger
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Gregor Berger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Eric Chen
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Lieuwe deHaan
- Academic Medical Centre, University of Amsterdam and Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Jessica Hartmann
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Connie Markulev
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Patrick McGorry
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Dorien Nieman
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | | | | | - Stefan Smesny
- Department of Psychiatry, Universitätsklinikum Jena, Jena, Germany
| | | | - Swapna Verma
- Early Psychosis Intervention Programme (EPIP), Institute of Mental Health, Singapore, Singapore
| | - Alison Yung
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Suzie Lavoie
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
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28
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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: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [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
- grid.1003.20000 0000 9320 7537Queensland Brain Institute, University of Queensland, Brisbane, 4072 QLD Australia ,grid.417162.70000 0004 0606 3563Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, 4076 QLD Australia
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29
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Cupo L, McIlwaine SV, Daneault JG, Malla AK, Iyer SN, Joober R, Shah JL. Timing, Distribution, and Relationship Between Nonpsychotic and Subthreshold Psychotic Symptoms Prior to Emergence of a First Episode of Psychosis. Schizophr Bull 2021; 47:604-614. [PMID: 33410487 PMCID: PMC8759816 DOI: 10.1093/schbul/sbaa183] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Prospective population studies suggest that psychotic syndromes may be an emergent phenomenon-a function of severity and complexity of more common mental health presentations and their nonpsychotic symptoms. Examining the relationship between nonpsychotic and subthreshold psychotic symptoms in individuals who later developed the ultimate outcome of interest, a first episode of psychosis (FEP), could provide valuable data to support or refute this conceptualization of how psychosis develops. We therefore conducted a detailed follow-back study consisting of semistructured interviews with 430 patients and families supplemented by chart reviews in a catchment-based sample of affective and nonaffective FEP. The onset and sequence of 27 pre-onset nonpsychotic (NPS) or subthreshold psychotic (STPS) symptoms was systematically characterized. Differences in proportions were analyzed with z-tests, and correlations were assessed with negative binomial regressions. Both the first psychiatric symptom (86.24% NPS) and the first prodromal symptom (66.51% NPS) were more likely to be NPS than STPS. Patients reporting pre-onset STPS had proportionally more of each NPS than did those without pre-onset STPS. Finally, there was a strong positive correlation between NPS counts (reflecting complexity) and STPS counts (β = 0.34, 95% CI [0.31, 0.38], P < 2 e-16). Prior to a FEP, NPS precede STPS, and greater complexity of NPS is associated with the presence and frequency of STPS. These findings complement recent arguments that the emergence of psychotic illness is better conceptualized as part of a continuum-with implications for understanding pluripotential developmental trajectories and strengthening early intervention paradigms.
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Affiliation(s)
- Lani Cupo
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada,Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Sarah V McIlwaine
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Jean-Gabriel Daneault
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Département de Psychiatrie, Université de Montréal, Montréal, QC, Canada,Clinique J.-P. Mottard, Hôpital en santé mentale Albert-Prévost, Montréal, QC, Canada
| | - Ashok K Malla
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Srividya N Iyer
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Jai L Shah
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada,Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montréal, QC, Canada,Department of Psychiatry, McGill University, Montréal, QC, Canada,To whom correspondence should be addressed; Department of Psychiatry, McGill University, Montréal, QC, Canada; tel: (514) 761-6131x2465, fax: (514) 888-4458, e-mail:
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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: 12] [Impact Index Per Article: 4.0] [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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Fonseca L, Sena BF, Crossley N, Lopez-Jaramillo C, Koenen K, Freimer NB, Bressan RA, Belangero SI, Santoro ML, Gadelha A. Diversity matters: opportunities in the study of the genetics of psychotic disorders in low- and middle-income countries in Latin America. ACTA ACUST UNITED AC 2020; 43:631-637. [PMID: 33237255 PMCID: PMC8639010 DOI: 10.1590/1516-4446-2020-1240] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/22/2020] [Indexed: 01/15/2023]
Abstract
Lack of diversity regarding genetic and environmental backgrounds weakens the generalization and clinical applicability of research findings on psychotic disorders. Notably, Latin Americans have been generally neglected in genetic studies, comprising less than 2% of genome-wide association study samples. But Latin American populations represent a unique opportunity for research, given the exceptionally high ethnic admixture of this group. Increasing genetic diversity is essential to improve the fine mapping of known regions associated with psychotic disorders, discover novel genetic associations, and replicate studies. Additionally, Latin America is characterized by massive social, political, and economic inequalities, all known risk factors for mental health issues, including psychotic disorders. This article aims to 1) discuss the challenges and advantages of studying Latin America’s particular genetic makeup and environmental context; 2) review previous studies conducted in the region; and 3) describe three Latin American research initiatives in progress: the Neuropsychiatric Genetics of Psychosis in Mexican Populations (NeuroMEX), the Paisa, and the Latin American Network for the Study of Early Psychosis (ANDES) studies.
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Affiliation(s)
- Lais Fonseca
- Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.,Programa de Esquizofrenia (PROESQ), Departamento de Psiquiatria, UNIFESP, São Paulo, SP, Brazil
| | - Brena F Sena
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Nicolas Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry, Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia.,Mood Disorders Program, Hospital San Vicente Fundación, Medellin, Colombia
| | - Karestan Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Sciences, University of California (UCLA), Los Angeles, CA, USA.,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.,Department of Human Genetics, UCLA, Los Angeles, CA, USA
| | - Rodrigo A Bressan
- Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.,Programa de Esquizofrenia (PROESQ), Departamento de Psiquiatria, UNIFESP, São Paulo, SP, Brazil
| | - Sintia I Belangero
- Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.,Disciplina de Genética, Departamento de Morfologia e Genética, UNIFESP, São Paulo, SP, Brazil
| | - Marcos L Santoro
- Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.,Disciplina de Genética, Departamento de Morfologia e Genética, UNIFESP, São Paulo, SP, Brazil
| | - Ary Gadelha
- Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.,Programa de Esquizofrenia (PROESQ), Departamento de Psiquiatria, UNIFESP, São Paulo, SP, Brazil
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Pries LK, Erzin G, van Os J, ten Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten BPF, Guloksuz S. Predictive Performance of Exposome Score for Schizophrenia in the General Population. Schizophr Bull 2020; 47:277-283. [PMID: 33215211 PMCID: PMC7965069 DOI: 10.1093/schbul/sbaa170] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Previously, we established an estimated exposome score for schizophrenia (ES-SCZ) as a cumulative measure of environmental liability for schizophrenia to use in gene-environment interaction studies and for risk stratification in population cohorts. Hereby, we examined the discriminative function of ES-SCZ for identifying individuals diagnosed with schizophrenia spectrum disorder in the general population by measuring the area under the receiver operating characteristic curve (AUC). Furthermore, we compared this ES-SCZ method to an environmental sum score (Esum-SCZ) and an aggregate environmental score weighted by the meta-analytical estimates (Emet-SCZ). We also estimated ORs and Nagelkerke's R2 for ES-SCZ in association with psychiatric diagnoses and other medical outcomes. ES-SCZ showed a good discriminative function (AUC = 0.84) and statistically significantly performed better than both Esum-SCZ (AUC = 0.80) and Emet-SCZ (AUC = 0.80). At optimal cut point, ES-SCZ showed similar performance in ruling out (LR- = 0.20) and ruling in (LR+ = 3.86) schizophrenia. ES-SCZ at optimal cut point showed also a progressively greater magnitude of association with increasing psychosis risk strata. Among all clinical outcomes, ES-SCZ was associated with schizophrenia diagnosis with the highest OR (2.76, P < .001) and greatest explained variance (R2 = 14.03%), followed by bipolar disorder (OR = 2.61, P < .001, R2 = 13.01%) and suicide plan (OR = 2.44, P < .001, R2 = 12.44%). Our findings from an epidemiologically representative general population cohort demonstrate that an aggregate environmental exposure score for schizophrenia constructed using a predictive modeling approach-ES-SCZ-has the potential to improve risk prediction and stratification for research purposes and may help gain insight into the multicausal etiology of psychopathology.
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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, The Netherlands
| | - Gamze Erzin
- Department of Psychiatry, Ankara Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands,Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Margreet ten Have
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, 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
| | - Maarten Bak
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands,FACT, Mondriaan Mental Health, Maastricht, The Netherlands
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands,Department of Psychiatry, Yale University School of Medicine, New Haven, CT,To whom correspondence should be addressed; tel: 31-433-88-4071, fax: 31433-88-4122, e-mail:
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33
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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: 33] [Impact Index Per Article: 8.3] [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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34
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Gawęda Ł, Pionke R, Hartmann J, Nelson B, Cechnicki A, Frydecka D. Toward a Complex Network of Risks for Psychosis: Combining Trauma, Cognitive Biases, Depression, and Psychotic-like Experiences on a Large Sample of Young Adults. Schizophr Bull 2020; 47:395-404. [PMID: 33728467 PMCID: PMC7965064 DOI: 10.1093/schbul/sbaa125] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Although the linkage between traumatic life events and psychotic-like experiences (PLEs) is well established, the knowledge of potential mechanisms of this relationship is scarce. The aim of the present study was to better understand the structure of connections between traumatic life events and PLEs by considering at the same time the role of cognitive biases and depressive symptoms in the population of young adults (18-35 years of age, M = 26.52, SD = 4.74, n = 6772). Our study was conducted within a framework of network analysis. PLEs were measured with the Prodromal Questionnaire (PQ-16), cognitive biases were measured with nine items from the Davos Assessment of Cognitive Biases Scale-18 (DACOBS-18), depressive symptoms were assessed with the Center for Epidemiologic Studies-Depression Scale (CESD-R) and exposure to traumatic life events was measured with a combination of Childhood Experience of Care and Abuse Questionnaire (CECA.Q) and Traumatic Experience Checklist (TEC). The results present a network of all nodes being interconnected within and between domains, with no isolated factors. Exposures to sexual trauma were the most central node in the network. Pathways were identified from trauma to PLEs via cognitive biases and depressive symptoms. However, the shortest pathway between the most central traumatic life event and PLEs was through other traumatic life events, without cognitive biases or depressive symptoms along the way. Our findings suggest the importance of environmental adversities as well as dysfunctional information processing and depression in the network of psychosis risks.
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Affiliation(s)
- Łukasz Gawęda
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland,To whom correspondence should be addressed; Institute of Psychology, Polish Academy of Sciences, Jaracza 1, 00-378 Warsaw, Poland; tel: +48 (22) 583-13-80, fax: +48 (22) 583-13-81, e-mail:
| | - Renata Pionke
- Psychopathology and Early Interventions Lab, II Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Jessica Hartmann
- Orygen, Parkville, Victoria, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrzej Cechnicki
- Department of Community Psychiatry, Chair of Psychiatry, Medical College Jagiellonian University, Krakow, Poland
| | - Dorota Frydecka
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
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35
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Mas S, Boloc D, Rodríguez N, Mezquida G, Amoretti S, Cuesta MJ, González-Peñas J, García-Alcón A, Lobo A, González-Pinto A, Corripio I, Vieta E, Castro-Fornieles J, Mané A, Saiz-Ruiz J, Gassó P, Bioque M, Bernardo M. Examining Gene-Environment Interactions Using Aggregate Scores in a First-Episode Psychosis Cohort. Schizophr Bull 2020; 46:1019-1025. [PMID: 32083289 PMCID: PMC7342095 DOI: 10.1093/schbul/sbaa012] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Gene-environment (GxE) interactions have been related to psychosis spectrum disorders, involving multiple common genetic variants in multiple genes with very small effect sizes, and several environmental factors that constitute a dense network of exposures named the exposome. Here, we aimed to analyze GxE in a cohort of 310 first-episode psychotic (FEP) and 236 healthy controls, by using aggregate scores estimated in large populations such as the polygenic risk score for schizophrenia and (PRS-SCZ) and the Maudsley environmental risk score (ERS). In contrast to previous findings, in our study, the PRS-SCZ did not discriminate cases from controls, but the ERS score explained a similar percentage of the variance as in other studies using similar approaches. Our study supports a positive additive interaction, indicating synergy between genetic susceptibility to schizophrenia (PRS-SCZ dichotomized according to the highest quartile distribution of the control population) and the exposome (ERS > 75% of the controls). This additive interaction showed genetic and environmental dose dependence. Our study shows that the use of aggregate scores derived from large and powered studies instead of statistics derived from specific sample characteristics is a powerful tool for the study of the effects of GxE on the risk of psychotic spectrum disorders. In conclusion, by using a genetic risk score and an ERS we have provided further evidence for the role of GxE in psychosis.
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Affiliation(s)
- Sergi Mas
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain,To whom correspondence should be addressed; Department of Clinical Foundations, University of Barcelona, IDIBAPS, CIBERSAM, Casanova 143, E-08036 Barcelona, Spain; tel: 0034934024526, fax: 003493403, e-mail:
| | - Daniel Boloc
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Natalia Rodríguez
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - Gisela Mezquida
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute Hospital Clínic de Barcelona, Barcelona, Spain
| | - Silvia Amoretti
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute Hospital Clínic de Barcelona, Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Javier González-Peñas
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM). Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Alicia García-Alcón
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM). Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Zaragoza University, Spain. Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza. Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Department of Psychiatry, Hospital Universitario de Alava, Vitoria, Spain,BIOARABA Health Research Institute, Vitoria, Spain,University of the Basque Country, Vitoria, Spain
| | - Iluminada Corripio
- Biomedical Research Institute Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau; Universitat Autònoma de Barcelona (UAB), Barcelona, Spain,Mental Health Networking Biomedical Research Centre, CIBERSAM, Madrid, Spain
| | - Eduard Vieta
- Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain,Hospital Clínic de Barcelona, Barcelona, Spain,Department of Medicine, University of Barcelona; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Anna Mané
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain,Autonomous University of Barcelona (UAB). Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Jeronimo Saiz-Ruiz
- Universidad de Alcalá, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Patricia Gassó
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain,Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit, Neuroscience Institute Hospital Clínic de Barcelona, Barcelona, Spain
| | - Miquel Bernardo
- Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain,Department of Medicine, University of Barcelona, Barcelona, Spain,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain
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36
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Fullana MA, Tortella-Feliu M, Fernández de la Cruz L, Chamorro J, Pérez-Vigil A, Ioannidis JPA, Solanes A, Guardiola M, Almodóvar C, Miranda-Olivos R, Ramella-Cravaro V, Vilar A, Reichenberg A, Mataix-Cols D, Vieta E, Fusar-Poli P, Fatjó-Vilas M, Radua J. Risk and protective factors for anxiety and obsessive-compulsive disorders: an umbrella review of systematic reviews and meta-analyses. Psychol Med 2020; 50:1300-1315. [PMID: 31172897 DOI: 10.1017/s0033291719001247] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND A multitude of risk/protective factors for anxiety and obsessive-compulsive disorders have been proposed. We conducted an umbrella review to summarize the evidence of the associations between risk/protective factors and each of the following disorders: specific phobia, social anxiety disorder, generalized anxiety disorder, panic disorder, and obsessive-compulsive disorder, and to assess the strength of this evidence whilst controlling for several biases. METHODS Publication databases were searched for systematic reviews and meta-analyses examining associations between potential risk/protective factors and each of the disorders investigated. The evidence of the association between each factor and disorder was graded into convincing, highly suggestive, suggestive, weak, or non-significant according to a standardized classification based on: number of cases (>1000), random-effects p-values, 95% prediction intervals, confidence interval of the largest study, heterogeneity between studies, study effects, and excess of significance. RESULTS Nineteen systematic reviews and meta-analyses were included, corresponding to 216 individual studies covering 427 potential risk/protective factors. Only one factor association (early physical trauma as a risk factor for social anxiety disorder, OR 2.59, 95% CI 2.17-3.1) met all the criteria for convincing evidence. When excluding the requirement for more than 1000 cases, five factor associations met the other criteria for convincing evidence and 22 met the remaining criteria for highly suggestive evidence. CONCLUSIONS Although the amount and quality of the evidence for most risk/protective factors for anxiety and obsessive-compulsive disorders is limited, a number of factors significantly increase the risk for these disorders, may have potential prognostic ability and inform prevention.
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Affiliation(s)
- Miquel A Fullana
- Institute of Neurosciences, Hospital Clinic, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Miquel Tortella-Feliu
- University Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Mallorca, Spain
| | - Lorena Fernández de la Cruz
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Jacobo Chamorro
- Anxiety Unit, Institute of Neuropsychiatry and Addictions, Parc de Salut Mar, Barcelona, Spain
| | - Ana Pérez-Vigil
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - John P A Ioannidis
- Department of Medicine, Stanford Prevention Research Center, Stanford, CA, USA
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
- Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
| | - Aleix Solanes
- FIDMAG Germanes Hospitalaries, CIBERSAM, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | | | | | | | - Valentina Ramella-Cravaro
- Early Psychosis: Interventions and Clinical-detection Lab (EPIC), Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Mental Health, Florence Public Health Center, Florence, Italy
| | - Ana Vilar
- Institut de Neuropsiquiatria i Addiccions, CSMIJ Sant Martí-La Mina, Parc de Salut Mar, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain
| | - Abraham Reichenberg
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, Hospital Clinic, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Barcelona, Spain
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection Lab (EPIC), Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalaries, CIBERSAM, Barcelona, Spain
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona, Spain
| | - Joaquim Radua
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- FIDMAG Germanes Hospitalaries, CIBERSAM, Barcelona, Spain
- Early Psychosis: Interventions and Clinical-detection Lab (EPIC), Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Barcelona, Spain
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37
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Xenaki LA, Kollias CT, Stefanatou P, Ralli I, Soldatos RF, Dimitrakopoulos S, Hatzimanolis A, Triantafyllou TF, Kosteletos I, Vlachos II, Selakovic M, Foteli S, Mantonakis L, Ermiliou V, Voulgaraki M, Psarra E, Gülöksüz S, van Os J, Stefanis NC. Organization framework and preliminary findings from the Athens First-Episode Psychosis Research Study. Early Interv Psychiatry 2020; 14:343-355. [PMID: 31402581 DOI: 10.1111/eip.12865] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 06/18/2019] [Accepted: 07/14/2019] [Indexed: 12/12/2022]
Abstract
AIMS Athens First-Episode Psychosis (FEP) Research study, aims to explore the potential associations between multiple genetic, environmental and neurometabolic risk factors of psychotic disorders, through the clinical management of FEP patients with minimal exposure (<2 weeks) to antipsychotic treatment at entry. The goal of this paper is to introduce the background, rationale and design of the study and present its preliminary findings. METHODS We developed a longitudinal cohort study of FEP patients 16-45 years old, presenting at the emergency units of five psychiatric hospitals across Athens, Greece. Research timeline includes baseline, 1-month and 1-year follow-up. Clinical, genetic, environmental, cognitive and biochemical parameters are measured, using psychometric tools, clinical interviews and laboratory tests. A descriptive analysis of baseline and 1-month assessments was performed including demographic characteristics, family history, medication, clinical picture, traumatic experiences, drug use and cognitive functioning. RESULTS During the last 3 years, 130 subjects have been enrolled in the study. Data so far reveal that, despite the severity of baseline presentation, at 1-month the majority (57.4%) met the Andreasen symptom severity criteria for remission, without the time criterion and showed mild functional improvement. Several environmental adversities and poor cognitive performance were identified, which need to be further elaborated. CONCLUSIONS Athens FEP Research study is the first gene-environment interaction study in Greece. In this article we introduce the organization and methodological framework of the project, along with its basic initial findings. Future analysis will allow the validation of tractable predictors and risk factors implicated in the development and outcome of psychosis.
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Affiliation(s)
- Lida-Alkisti Xenaki
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Costas T Kollias
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Pentagiotissa Stefanatou
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Irene Ralli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Rigas-Filippos Soldatos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece.,Psychiatric Clinic, 414 Military Hospital of Athens, Penteli, Greece
| | - Alex Hatzimanolis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece.,Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | | | - Ioannis Kosteletos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Ilias I Vlachos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Mirjana Selakovic
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Stefania Foteli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Leonidas Mantonakis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Vassiliki Ermiliou
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Marina Voulgaraki
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Evagelia Psarra
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Sinan Gülöksüz
- Department Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Jim van Os
- Department Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Nikos C Stefanis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
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Zwicker A, MacKenzie LE, Drobinin V, Bagher AM, Howes Vallis E, Propper L, Bagnell A, Abidi S, Pavlova B, Alda M, Denovan-Wright EM, Uher R. Neurodevelopmental and genetic determinants of exposure to adversity among youth at risk for mental illness. J Child Psychol Psychiatry 2020; 61:536-544. [PMID: 31749149 DOI: 10.1111/jcpp.13159] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/10/2019] [Indexed: 01/12/2023]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) and lower cognitive ability have been linked with increased likelihood of exposure to adversity. We hypothesized that these associations may be partly due to genetic factors. METHODS We calculated polygenic scores for ADHD and intelligence and assessed psychopathology and general cognitive ability in a sample of 297 youth aged 5-27 years enriched for offspring of parents with mood and psychotic disorders. We calculated an adversity score as a mean of 10 indicators, including socio-economic disadvantage, childhood maltreatment and bullying. We tested the effects of polygenic scores, externalizing symptoms and IQ on adversity scores using mixed-effects linear regression. RESULTS Externalizing symptoms and general cognitive ability showed expected positive and negative relationships with adversity, respectively. Polygenic scores for intelligence were unrelated to adversity, but polygenic scores for ADHD were associated with adversity (β = 0.23, 95% CI 0.13 to 0.34, p < .0001). ADHD polygenic scores uniquely explained 4.0% of variance in adversity score. The relationship between polygenic scores for ADHD and adversity was independently significant among individuals with (β = 0.49, 95% CI 0.25 to 0.75, p < .0001) and without (β = 0.14, 95% CI 0.02 to 0.26, p = .022) ADHD. CONCLUSIONS A genetic score indexing liability to ADHD was associated with exposure to adversity in early life. Previously observed associations between externalizing symptoms, lower cognitive ability and adversity may be partially attributed to genetic liability to ADHD.
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Affiliation(s)
- Alyson Zwicker
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Pathology, Dalhousie University, Halifax, NS, Canada
| | - Lynn E MacKenzie
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada
| | - Vladislav Drobinin
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Medical Neuroscience, Dalhousie University, Halifax, NS, Canada
| | - Amina M Bagher
- Department of Pharmacology and Toxicology, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Emily Howes Vallis
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Lukas Propper
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,IWK Health Centre, Halifax, NS, Canada
| | - Alexa Bagnell
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,IWK Health Centre, Halifax, NS, Canada
| | - Sabina Abidi
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,IWK Health Centre, Halifax, NS, Canada
| | - Barbara Pavlova
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Martin Alda
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | | | - Rudolf Uher
- Nova Scotia Health Authority, Halifax, NS, Canada.,Department of Pathology, Dalhousie University, Halifax, NS, Canada.,Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.,Department of Medical Neuroscience, Dalhousie University, Halifax, NS, Canada.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
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Taylor JH, Asabere N, Calkins ME, Moore TM, Tang SX, Xavier RM, Merikangas AK, Wolf DH, Almasy L, Gur RC, Gur RE. Characteristics of youth with reported family history of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort. Schizophr Res 2020; 216:104-110. [PMID: 31883930 PMCID: PMC7239716 DOI: 10.1016/j.schres.2019.12.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 11/23/2019] [Accepted: 12/19/2019] [Indexed: 12/22/2022]
Abstract
Little is known about the impact of family history of psychosis on youth from community samples. To fill this gap, we compared youth with a first-degree relative with psychosis spectrum symptoms (i.e. family history of psychosis spectrum symptoms, FHPS) to youth without FHPS in a cross-sectional analysis of the Philadelphia Neurodevelopmental Cohort (PNC). The PNC is a racially diverse community sample of 9498 youth ages 8-21 years old, of whom 8928 completed the Family Interview for Genetic Studies to determine FHPS status. Polygenic risk score for schizophrenia (PRSS) was available for a subsample of 4433 European Americans. FHPS youth (n = 489) constituted 5.5% of the analytic sample. After adjusting for environmental risk factors (sociodemographic variables and traumatic stressful events), FHPS youth had lower functioning on the Children's Global Assessment Scale and elevated psychosis spectrum, mood, externalizing, and fear symptoms compared to non-FHPS youth (all p < .001). In the European-American subsample, FHPS status was associated with poorer functioning and greater symptom burden in all four psychopathology domains (all p < .001), even after covarying for PRSS. Thus, ascertaining FHPS is important because it is uniquely associated with symptoms and functional impairment in community youth beyond PRS-S and the environmental risk factors we investigated. Future research identifying environmental causes of FHPS-associated impairment could inform the development of interventions for the broad array of symptoms observed in FHPS youth.
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Affiliation(s)
- Jerome H Taylor
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
| | - Nana Asabere
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Monica E Calkins
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyler M Moore
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Sunny X Tang
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Rose Mary Xavier
- The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alison K Merikangas
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Daniel H Wolf
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Almasy
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
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Latalova K, Sery O, Hosakova K, Hosak L. Gene-Environment Interactions in Major Mental Disorders in the Czech Republic. Neuropsychiatr Dis Treat 2020; 16:1147-1156. [PMID: 32440130 PMCID: PMC7212780 DOI: 10.2147/ndt.s238522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/03/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Mental disorders affect about one-third of the human population, are typically chronic and significantly decrease the quality of life. Presently, the treatment of mental illnesses is far from adequate with a substantial proportion of the patients being pharmacoresistant and suffering from relapses. One of the reasons for this complicated situation is that we do not precisely know about the causes of mental disorders, so their treatment cannot be causal. The etiology of a mental disorder is typically based on a combination of molecular (genetic) and environmental factors. AIM The aim of the project is to discover the gene-environment interactions (GxE) in a wide spectrum of mental disorders. METHODS The design of our study is innovative in the sense that we intend to study large groups of associated mental disorders as a whole instead of in isolation. This would enable us to map out the possible environmental causal factors in detail in relation to their character, magnitude and timing. The project also allows a study of genetics (including epigenetics and microbiomes) as well as the environment simultaneously. We plan on involving three study groups: the first group are patients suffering from schizophrenia or a mood disorder such as major depression, recurrent depressive disorder and bipolar affective disorder; the second group of patients have anxiety disorders; and the third group are healthy volunteers from the general population who are genetically unrelated. All of the study subjects will undergo the following assessments: a psychiatric examination, the identification of stressful life events with the aid of a questionnaire, the examination of their reaction to stress, genetic and epigenetic (microRNA) assessments and the analysis of oral and gut microbiome. CONCLUSION We expect that some of the genetic as well as environmental factors in the studied mental disorders are shared, while some others are specific. We also expect that the GxE (gene-environment interaction) in schizophrenic and affective disorders will be different from the GxE in anxiety disorders and that the GxE in the studied mental disorders will differ generally from the GxE in healthy volunteers. Our results can help in the prevention and individualized treatment of a range of mental disorders.
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Affiliation(s)
- Klara Latalova
- Department of Psychiatry, Palacky University Olomouc, School of Medicine and University Hospital Olomouc, Olomouc, Czech Republic
| | - Omar Sery
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.,Laboratory of Neurobiology and Pathological Physiology, Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic, Brno, Czech Republic
| | - Kristyna Hosakova
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ladislav Hosak
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
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Poletti M, Gebhardt E, Pelizza L, Preti A, Raballo A. Looking at Intergenerational Risk Factors in Schizophrenia Spectrum Disorders: New Frontiers for Early Vulnerability Identification? Front Psychiatry 2020; 11:566683. [PMID: 33192689 PMCID: PMC7649773 DOI: 10.3389/fpsyt.2020.566683] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/22/2020] [Indexed: 12/02/2022] Open
Abstract
Offspring of individuals with serious mental illness (SMI) constitute a special population with a higher risk of developing psychiatric disorders, which is also highly prevalent among referrals to child and adolescent mental health services (CAMHS). They often exhibit more or less subclinical conditions of vulnerability, fueled by mutually potentiating combinations of risk factors, such as presumed genetic risk, poor or inadequate affective and cognitive parenting, and low socio-economic status. Despite this evidence, neither specific preventive programs for offspring of parents with SMI are usually implemented in CAMHS, nor dedicated supportive programs for parenting are generally available in adult mental health services (AMHS). Needless to say, while both service systems tend to focus on individual recovery and clinical management (rather than on the whole family system), these blind spots add up to frequent gaps in communication and continuity of care between CAMHS and AMHS. This is particularly problematic in an age-range in which an offspring's vulnerabilities encounter the highest epidemiological peak of incident risk of SMI. This paper offers a clinical-conceptual perspective aimed to disentangle the complex intertwine of intergenerational risk factors that contribute to the risk of developing SMI in offspring, taking schizophrenia spectrum disorders as a paradigmatic example.
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Affiliation(s)
- Michele Poletti
- Child and Adolescent Neuropsychiatry Unit, Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Eva Gebhardt
- Department of Mental Health, ASL Roma 4, Civitavecchia, Italy
| | - Lorenzo Pelizza
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy.,Center for Translational, Phenomenological and Developmental Psychopathology, Perugia University Hospital, Perugia, Italy
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Abstract
The development of effective intervention and prevention strategies among individuals with psychosis risk syndromes may help to reduce symptomatology and conversion to a psychotic disorder. Although strides have been made in this area, more work is needed, particularly given the setbacks that remain (such as heterogeneity among this group). There has been a shift with the introduction of clinical staging models toward expanding current intervention and prevention efforts to a more developmental and transdiagnostic approach. With this, this article seeks to review treatments both recently and currently discussed in the staging literature, introduce advances in psychosis risk syndrome treatments that may be beneficial to consider in clinical staging heuristics, and pinpoint other promising options.
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Affiliation(s)
- Tina Gupta
- Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL, 60208, USA
| | - Vijay A Mittal
- Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL, 60208, USA.,Department of Psychiatry, Northwestern University, 420 E. Superior Street, Chicago, IL, 60611, USA.,Institute for Policy Research, Northwestern University, 2040 Sheridan Road, Evanston, IL, 60208, USA.,Department of Medical Social Sciences, Northwestern University, 420 E. Superior Street, Chicago, IL, 60611, USA.,Institute for Innovations in Developmental Sciences, Northwestern University, 633 N. St. Claire Street, Chicago, IL, 60611, USA
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43
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McCutcheon RA, Bloomfield MAP, Dahoun T, Mehta M, Howes OD. Chronic psychosocial stressors are associated with alterations in salience processing and corticostriatal connectivity. Schizophr Res 2019; 213:56-64. [PMID: 30573409 PMCID: PMC6817361 DOI: 10.1016/j.schres.2018.12.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 12/23/2022]
Abstract
Psychosocial stressors including childhood adversity, migration, and living in an urban environment, have been associated with several psychiatric disorders, including psychotic disorders. The neural and psychological mechanisms mediating this relationship remain unclear. In parallel, alterations in corticostriatal connectivity and abnormalities in the processing of salience, are seen in psychotic disorders. Aberrant functioning of these mechanisms secondary to chronic stress exposure, could help explain how common environmental exposures are associated with a diverse range of symptoms. In the current study, we recruited two groups of adults, one with a high degree of exposure to chronic psychosocial stressors (the exposed group, n = 20), and one with minimal exposure (the unexposed group, n = 22). All participants underwent a resting state MRI scan, completed the Aberrant Salience Inventory, and performed a behavioural task - the Salience Attribution Test (SAT). The exposed group showed reduced explicit adaptive salience scores (cohen's d = 0.69, p = 0.03) and increased aberrant salience inventory scores (d = 0.65, p = 0.04). The exposed group also showed increased corticostriatal connectivity between the ventral striatum and brain regions previously implicated in salience processing. Corticostriatal connectivity in these regions negatively correlated with SAT explicit adaptive salience (r = -0.48, p = 0.001), and positively correlated with aberrant salience inventory scores (r = 0.42, p = 0.006). Furthermore, in a mediation analysis there was tentative evidence that differences in striato-cortical connectivity mediated the group differences in salience scores.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK; Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Michael A P Bloomfield
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK; Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London WC1T 7NF, UK; Clinical Psychopharmacology Unit, Research Department of Clinical, Educational and Health Psychology, University College London, 1-19 Torrington Place, London WC1E 6BT, UK; National Institute of Health Research University College London Hospitals Biomedical Research Centre, University College Hospital, Euston Road, London W1T 7DN, UK; The Traumatic Stress Clinic, St Pancras Hospital, 4 St Pancras Way, London NW1 0PE, UK
| | - Tarik Dahoun
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX37 JX, UK
| | - Mitul Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK; Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.
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45
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Pries LK, Lage-Castellanos A, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, Akdede B, Binbay T, Altinyazar V, Yalinçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Petrovic SA, Mirjanic T, Bernardo M, Cabrera B, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Ucok A, Alptekin K, Saka MC, Arango C, O’Donovan M, Rutten BPF, van Os J, Guloksuz S. Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study. Schizophr Bull 2019; 45:960-965. [PMID: 31508804 PMCID: PMC6737483 DOI: 10.1093/schbul/sbz054] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Exposures constitute a dense network of the environment: exposome. Here, we argue for embracing the exposome paradigm to investigate the sum of nongenetic "risk" and show how predictive modeling approaches can be used to construct an exposome score (ES; an aggregated score of exposures) for schizophrenia. The training dataset consisted of patients with schizophrenia and controls, whereas the independent validation dataset consisted of patients, their unaffected siblings, and controls. Binary exposures were cannabis use, hearing impairment, winter birth, bullying, and emotional, physical, and sexual abuse along with physical and emotional neglect. We applied logistic regression (LR), Gaussian Naive Bayes (GNB), the least absolute shrinkage and selection operator (LASSO), and Ridge penalized classification models to the training dataset. ESs, the sum of weighted exposures based on coefficients from each model, were calculated in the validation dataset. In addition, we estimated ES based on meta-analyses and a simple sum score of exposures. Accuracy, sensitivity, specificity, area under the receiver operating characteristic, and Nagelkerke's R2 were compared. The ESMeta-analyses performed the worst, whereas the sum score and the ESGNB were worse than the ESLR that performed similar to the ESLASSO and ESRIDGE. The ESLR distinguished patients from controls (odds ratio [OR] = 1.94, P < .001), patients from siblings (OR = 1.58, P < .001), and siblings from controls (OR = 1.21, P = .001). An increase in ESLR was associated with a gradient increase of schizophrenia risk. In reference to the remaining fractions, the ESLR at top 30%, 20%, and 10% of the control distribution yielded ORs of 3.72, 3.74, and 4.77, respectively. Our findings demonstrate that predictive modeling approaches can be harnessed to evaluate the exposome.
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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, The Netherlands
| | - Agustin Lage-Castellanos
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands,Department of NeuroInformatics, Cuban Center for Neuroscience, Havana, Cuba
| | - Philippe Delespaul
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands,Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands,GGNet Mental Health, Apeldoorn, The Netherlands
| | - Bochao D Lin
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alexander L Richards
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Berna Akdede
- Department of Psychiatry, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Tolga Binbay
- Department of Psychiatry, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Vesile Altinyazar
- Department of Psychiatry, Faculty of Medicine, Adnan Menderes University, Aydin, Turkey
| | - Berna Yalinçetin
- Department of Neuroscience, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | | | - Burçin Cihan
- Department of Psychology, Middle East Technical University, Ankara, Turkey
| | - Haldun Soygür
- Turkish Federation of Schizophrenia Associations, Ankara, Turkey
| | - Halis Ulaş
- Dokuz Eylül University, Medical School, Psychiatry Department (Discharged from by statutory decree No:701 at 8th July of 2018 because of signing “Peace Petition”)
| | | | | | - Marina M Mihaljevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Psychiatry CCS, Belgrade, Serbia
| | | | - Tijana Mirjanic
- Special Hospital for Psychiatric Disorders Kovin, Kovin, Serbia
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Julio Bobes
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Pilar A Saiz
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - María Paz García-Portilla
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Eduardo J Aguilar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - José Luis Santos
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | - Estela Jiménez-López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Universidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Instituto de Investigación Sanitaria, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Angel Carracedo
- Fundación Publica Galega de Medicina Xenómica, Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Gonzalo López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Javier González-Peñas
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Nadja P Maric
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Psychiatry CCS, Belgrade, Serbia
| | - Cem Atbaşoğlu
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Alp Ucok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Meram Can Saka
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | | | - Celso Arango
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Michael O’Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands,Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands,Department of Psychosis Studies, King’s College London, Institute of Psychiatry, London, UK
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands,Department of Psychiatry, Yale School of Medicine, New Haven, CT,To whom correspondence should be addressed; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, P.O. Box 616 6200 MD Maastricht, The Netherlands; tel: 31-433-88-4071, fax: 31-433-88-4122, e-mail:
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Shah JL, Tandon N, Montrose DM, Mermon D, Eack SM, Miewald J, Keshavan MS. Clinical psychopathology in youth at familial high risk for psychosis. Early Interv Psychiatry 2019; 13:297-303. [PMID: 28880494 PMCID: PMC5897185 DOI: 10.1111/eip.12480] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 05/28/2017] [Accepted: 07/11/2017] [Indexed: 12/16/2022]
Abstract
AIM While the course of psychopathology has been explored from an index mental health diagnosis onwards, there are few detailed, prospective studies of the occurrence of clinical psychopathology in youth with familial risk for severe mental illnesses such as psychosis. We sought to describe the appearance of Axis I psychopathology in a unique sample of adolescents with a family history of schizophrenia (FHR). METHODS One hundred and sixty two first- and second-degree relatives (mean age 15.7 ± 3.6; range 8-25) of probands with schizophrenia or schizoaffective disorder were assessed at baseline and annual intervals for up to 3 years, focusing on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) Axis I psychopathology. RESULTS Fourteen individuals (8.6%) developed a psychotic disorder. One hundred and five subjects (65%) met criteria for an Axis I disorder over the course of the study, the most common of which was a depressive episode (40 subjects; 25%). Of the 148 individuals who did not develop psychosis, 91 (61%) had one or more Axis I disorders compared with 10/14 converters who had a comorbid Axis I disorder (71%). Ordered by increasing age of onset, diagnoses included cognitive and externalizing disorders, anxiety disorders, affective disorders, substance use disorders and psychotic disorders. CONCLUSIONS In addition to an elevated risk of psychosis, young FHR relatives manifest a broad range of non-psychotic Axis I psychopathology in childhood and adolescence. This breadth of diagnoses has implications for the structure and function of mental health services for young people.
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Affiliation(s)
- Jai L Shah
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,PEPP-Montréal, Douglas Mental Health University Institute, Montréal, Canada.,Department of Psychiatry, McGill University, Montréal, Canada
| | - Neeraj Tandon
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Baylor College of Medicine, Houston, Texas
| | - Debra M Montrose
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Diana Mermon
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Shaun M Eack
- University of Pittsburgh School of Social Work, Pittsburgh, Pennsylvania
| | - Jean Miewald
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Matcheri S Keshavan
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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47
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Hartmann JA, Nelson B, Ratheesh A, Treen D, McGorry PD. At-risk studies and clinical antecedents of psychosis, bipolar disorder and depression: a scoping review in the context of clinical staging. Psychol Med 2019; 49:177-189. [PMID: 29860956 DOI: 10.1017/s0033291718001435] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Identifying young people at risk of developing serious mental illness and identifying predictors of onset of illness has been a focus of psychiatric prediction research, particularly in the field of psychosis. Work in this area has facilitated the adoption of the clinical staging model of early clinical phenotypes, ranging from at-risk mental states to chronic and severe mental illness. It has been a topic of debate if these staging models should be conceptualised as disorder-specific or transdiagnostic. In order to inform this debate and facilitate cross-diagnostic discourse, the present scoping review provides a broad overview of the body of literature of (a) longitudinal at-risk approaches and (b) identified antecedents of (homotypic) illness progression across three major mental disorders [psychosis, bipolar disorder (BD) and depression], and places these in the context of clinical staging. Stage 0 at-risk conceptualisations (i.e. familial high-risk approaches) were identified in all three disorders. However, formalised stage 1b conceptualisations (i.e. ultra-high-risk approaches) were only present in psychosis and marginally in BD. The presence of non-specific and overlapping antecedents in the three disorders may support a general staging model, at least in the early stages of severe psychotic or mood disorders.
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Affiliation(s)
- Jessica A Hartmann
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Barnaby Nelson
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Aswin Ratheesh
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
| | - Devi Treen
- Department of Child and Adolescent Psychiatry and Psychology,Hospital Sant Joan de Déu,Barcelona
| | - Patrick D McGorry
- Orygen, the National Centre of Excellence in Youth Mental Health,Melbourne,Australia
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48
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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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49
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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: 3.0] [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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50
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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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