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Siafis S, McCutcheon R, Chiocchia V, Ostinelli EG, Wright S, Stansfield C, Juma DO, Mantas I, Howes OD, Rutigliano G, Ramage F, Tinsdeall F, Friedrich C, Milligan L, Moreno C, Elliott JH, Thomas J, Macleod MR, Sena ES, Seedat S, Salanti G, Potts J, Cipriani A, Leucht S. Trace amine-associated receptor 1 (TAAR1) agonists for psychosis: protocol for a living systematic review and meta-analysis of human and non-human studies. Wellcome Open Res 2023; 8:365. [PMID: 38634067 PMCID: PMC11021884 DOI: 10.12688/wellcomeopenres.19866.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2023] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND There is an urgent need to develop more effective and safer antipsychotics beyond dopamine 2 receptor antagonists. An emerging and promising approach is TAAR1 agonism. Therefore, we will conduct a living systematic review and meta-analysis to synthesize and triangulate the evidence from preclinical animal experiments and clinical studies on the efficacy, safety, and underlying mechanism of action of TAAR1 agonism for psychosis. METHODS Independent searches will be conducted in multiple electronic databases to identify clinical and animal experimental studies comparing TAAR1 agonists with licensed antipsychotics or other control conditions in individuals with psychosis or animal models for psychosis, respectively. The primary outcomes will be overall psychotic symptoms and their behavioural proxies in animals. Secondary outcomes will include side effects and neurobiological measures. Two independent reviewers will conduct study selection, data extraction using predefined forms, and risk of bias assessment using suitable tools based on the study design. Ontologies will be developed to facilitate study identification and data extraction. Data from clinical and animal studies will be synthesized separately using random-effects meta-analysis if appropriate, or synthesis without meta-analysis. Study characteristics will be investigated as potential sources of heterogeneity. Confidence in the evidence for each outcome and source of evidence will be evaluated, considering the summary of the association, potential concerns regarding internal and external validity, and reporting biases. When multiple sources of evidence are available for an outcome, an overall conclusion will be drawn in a triangulation meeting involving a multidisciplinary team of experts. We plan trimonthly updates of the review, and any modifications in the protocol will be documented. The review will be co-produced by multiple stakeholders aiming to produce impactful and relevant results and bridge the gap between preclinical and clinical research on psychosis. PROTOCOL REGISTRATION PROSPERO-ID: CRD42023451628.
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Affiliation(s)
- Spyridon Siafis
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Robert McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Health NHS Foundation Trust, Oxford, England, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
| | - Virginia Chiocchia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Canton of Bern, Switzerland
| | - Edoardo G. Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Health NHS Foundation Trust, Oxford, England, UK
- Oxford Precision Psychiatry Lab, University of Oxford, Oxford, England, UK
| | - Simonne Wright
- Department of Psychiatry, Stellenbosch University, Stellenbosch, Western Cape, South Africa
| | - Claire Stansfield
- EPPI Centre, Social Research Institute, University College London, London, England, UK
| | | | - Ioannis Mantas
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Oliver D. Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
| | - Grazia Rutigliano
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England, UK
| | - Fiona Ramage
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Francesca Tinsdeall
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Claire Friedrich
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Precision Psychiatry Lab, University of Oxford, Oxford, England, UK
| | | | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, ISCIII, School of Medicine, Universidad Complutense de Madrid, Madrid, Community of Madrid, Spain
| | - Julian H. Elliott
- Cochrane Australia, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
- Future Evidence Foundation, Melbourne, Australia
| | - James Thomas
- EPPI Centre, Social Research Institute, University College London, London, England, UK
| | - Malcolm R. Macleod
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Emily S. Sena
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Stellenbosch, Western Cape, South Africa
| | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Canton of Bern, Switzerland
| | - Jennifer Potts
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Precision Psychiatry Lab, University of Oxford, Oxford, England, UK
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Health NHS Foundation Trust, Oxford, England, UK
- Oxford Precision Psychiatry Lab, University of Oxford, Oxford, England, UK
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - the GALENOS team
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Psychiatry, University of Oxford, Oxford, England, UK
- Oxford Health NHS Foundation Trust, Oxford, England, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
- Institute of Social and Preventive Medicine, University of Bern, Bern, Canton of Bern, Switzerland
- Oxford Precision Psychiatry Lab, University of Oxford, Oxford, England, UK
- Department of Psychiatry, Stellenbosch University, Stellenbosch, Western Cape, South Africa
- EPPI Centre, Social Research Institute, University College London, London, England, UK
- My Mind Our Humanity, Mombasa, Kenya
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England, UK
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
- MQ Mental Health Research, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, ISCIII, School of Medicine, Universidad Complutense de Madrid, Madrid, Community of Madrid, Spain
- Cochrane Australia, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
- Future Evidence Foundation, Melbourne, Australia
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Livingston NR, De Micheli A, McCutcheon R, Butler E, Hamdan M, Grace AA, McGuire P, Egerton A, Fusar-Poli P, Modinos G. Effects of Benzodiazepine Exposure on Real-World Clinical Outcomes in Individuals at Clinical High-Risk for Psychosis. medRxiv 2023:2023.08.15.23294108. [PMID: 37645948 PMCID: PMC10462200 DOI: 10.1101/2023.08.15.23294108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Background Animal models indicate GABAergic dysfunction in the development of psychosis, and that benzodiazepine (BDZ) exposure can prevent the emergence of psychosis-relevant phenotypes. However, whether BDZ exposure influences the risk of psychosis in humans is unknown. Methods This observational-cohort study used electronic health record data from 818 individuals at clinical high-risk for psychosis (CHR-P) to investigate whether BDZ exposure (including hypnotics e.g., zopiclone) reduces the risk of developing psychosis and adverse clinical outcomes. Cox proportional-hazards models were employed in both the whole-unmatched sample, and a propensity score matched (PSM) subsample. Results 567 CHR-P individuals were included after data cleaning (105 BDZ-exposed, 462 BDZ-unexposed). 306 (54%) individuals were male, and the mean age was 22.3 years (SD 4.9). The BDZ-exposed and BDZ-unexposed groups differed on several demographic and clinical characteristics, including psychotic symptom severity. In the whole-unmatched sample, BDZ exposure was associated with increased risk of transition to psychosis (HR=1.61; 95%CI:1.03-2.52; P=0.037), psychiatric hospital admission (HR=1.93; 95%CI:1.13-3.29; P=0.017), home visit (HR=1.64; 95%CI:1.18-2.28; P=0.004), and A&E attendance (HR=1.88; 95%CI:1.31-2.72; P<0.001). However, after controlling for confounding-by-indication through PSM, BDZ exposure did not modulate the risk of any outcomes (all P>0.05). In analysis restricted to antipsychotic-naïve individuals, BDZ exposure reduced the risk of transition to psychosis at trend-level (HR=0.59; 95%CI:0.32-1.08; P=0.089). Conclusions BDZ exposure in CHR-P individuals was not associated with a reduction in the risk of psychosis transition or other adverse clinical outcomes. Results in the whole-unmatched sample suggest BDZ prescription may be more likely in CHR-P individuals with higher symptom severity.
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Affiliation(s)
- Nicholas R. Livingston
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Andrea De Micheli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Emma Butler
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Marwa Hamdan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Anthony A. Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip McGuire
- Oxford Health NHS Foundation Trust, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Gemma Modinos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK
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3
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Nordio G, Easmin R, Giacomel A, Dipasquale O, Martins D, Williams S, Turkheimer F, Howes O, Veronese M, Jauhar S, Rogdaki M, McCutcheon R, Kaar S, Vano L, Rutigliano G, Angelescu I, Borgan F, D’Ambrosio E, Dahoun T, Kim E, Kim S, Bloomfield M, Egerton A, Demjaha A, Bonoldi I, Nosarti C, Maccabe J, McGuire P, Matthews J, Talbot PS. An automatic analysis framework for FDOPA PET neuroimaging. J Cereb Blood Flow Metab 2023; 43:1285-1300. [PMID: 37026455 PMCID: PMC10369152 DOI: 10.1177/0271678x231168687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/23/2023] [Accepted: 02/05/2023] [Indexed: 04/08/2023]
Abstract
In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental variables and processing parameters. An instance of XNAT imaging platform was used to store the King's College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. By re-engineering the historical Matlab-based scripts for FDOPA PET analysis, a fully automated analysis pipeline for imaging processing and data quantification was implemented in Python and integrated in XNAT. The final data repository includes 892 FDOPA PET scans organized from 23 different studies. We found good reproducibility of the data analysis by the automated pipeline (in the striatum for the Kicer: for the controls ICC = 0.71, for the psychotic patients ICC = 0.88). From the demographic and experimental variables assessed, gender was found to most influence striatal dopamine synthesis capacity (F = 10.7, p < 0.001), with women showing greater dopamine synthesis capacity than men. Our automated analysis pipeline represents a valid resourse for standardised and robust quantification of dopamine synthesis capacity using FDOPA PET data. Combining information from different neuroimaging studies has allowed us to test it comprehensively and to validate its replicability and reproducibility performances on a large sample size.
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Affiliation(s)
- Giovanna Nordio
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Rubaida Easmin
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Alessio Giacomel
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Ottavia Dipasquale
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Steven Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Federico Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, UK
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Information Engineering (DEI), University of Padua, Padua, Italy
| | - and the FDOPA PET imaging working group:
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, UK
- Department of Information Engineering (DEI), University of Padua, Padua, Italy
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- COMPASS Pathways plc, London, UK
- Psychiatric Neuroscience Group, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea
- Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
- Division of Psychiatry, Faculty of Brain Sciences, University College of London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neurosicences, King’s College London, London, UK
- Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- Early Intervention Psychosis Clinical Academic Group, South London & Maudsley NHS Trust, London, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Sameer Jauhar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College, Imperial College London, London, UK
| | - Maria Rogdaki
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Stephen Kaar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Luke Vano
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
| | - Grazia Rutigliano
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
| | - Ilinca Angelescu
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Faith Borgan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- COMPASS Pathways plc, London, UK
| | - Enrico D’Ambrosio
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatric Neuroscience Group, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Tarik Dahoun
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College, Imperial College London, London, UK
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Euitae Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea
- Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Seoyoung Kim
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Micheal Bloomfield
- Division of Psychiatry, Faculty of Brain Sciences, University College of London, London, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Ilaria Bonoldi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Chiara Nosarti
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neurosicences, King’s College London, London, UK
- Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - James Maccabe
- 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
- Early Intervention Psychosis Clinical Academic Group, South London & Maudsley NHS Trust, London, UK
| | - Julian Matthews
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Peter S Talbot
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Cipriani A, Seedat S, Milligan L, Salanti G, Macleod M, Hastings J, Thomas J, Michie S, Furukawa TA, Gilbert D, Soares-Weiser K, Moreno C, Leucht S, Egger M, Mansoori P, Barker JM, Siafis S, Ostinelli EG, McCutcheon R, Wright S, Simpson M, Elugbadebo O, Chiocchia V, Tonia T, Elgarf R, Kurtulmus A, Sena E, Simple O, Boyce N, Chung S, Sharma A, Wolpert M, Potts J, Elliott JH. New living evidence resource of human and non-human studies for early intervention and research prioritisation in anxiety, depression and psychosis. BMJ Ment Health 2023; 26:e300759. [PMID: 37290906 PMCID: PMC10255027 DOI: 10.1136/bmjment-2023-300759] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 06/10/2023]
Abstract
In anxiety, depression and psychosis, there has been frustratingly slow progress in developing novel therapies that make a substantial difference in practice, as well as in predicting which treatments will work for whom and in what contexts. To intervene early in the process and deliver optimal care to patients, we need to understand the underlying mechanisms of mental health conditions, develop safe and effective interventions that target these mechanisms, and improve our capabilities in timely diagnosis and reliable prediction of symptom trajectories. Better synthesis of existing evidence is one way to reduce waste and improve efficiency in research towards these ends. Living systematic reviews produce rigorous, up-to-date and informative evidence summaries that are particularly important where research is emerging rapidly, current evidence is uncertain and new findings might change policy or practice. Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) aims to tackle the challenges of mental health science research by cataloguing and evaluating the full spectrum of relevant scientific research including both human and preclinical studies. GALENOS will also allow the mental health community-including patients, carers, clinicians, researchers and funders-to better identify the research questions that most urgently need to be answered. By creating open-access datasets and outputs in a state-of-the-art online resource, GALENOS will help identify promising signals early in the research process. This will accelerate translation from discovery science into effective new interventions for anxiety, depression and psychosis, ready to be translated in clinical practice across the world.
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Affiliation(s)
- Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Soraya Seedat
- South African Medical Research Council/Stellenbosch University Extramural Genomics of Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | | | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Malcolm Macleod
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Janna Hastings
- Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
| | - James Thomas
- EPPI Centre, Social Research Institute, University College London, London, UK
| | - Susan Michie
- UCL Centre for Behaviour Change, University College London, London, UK
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - David Gilbert
- Chair, GALENOS Global Experiential Advisory Board, InHealth Associates, London, UK
| | | | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias Egger
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Centre for Infectious Disease Epidemiology and Research, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | | - Spyridon Siafis
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Edoardo Giuseppe Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Robert McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Simonne Wright
- South African Medical Research Council/Stellenbosch University Extramural Genomics of Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | | | - Olufisayo Elugbadebo
- South African Medical Research Council/Stellenbosch University Extramural Genomics of Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- Department of Psychiatry, University of Ibadan, Ibadan, Nigeria
| | - Virginia Chiocchia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Thomy Tonia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Rania Elgarf
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Ayse Kurtulmus
- Department of Psychiatry, Istanbul Medeniyet University, Turkey, Turkey
| | - Emily Sena
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ouma Simple
- South African Medical Research Council/Stellenbosch University Extramural Genomics of Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- College of Health Sciences, Makerere University, Kampala, Uganda
| | | | | | | | | | - Jennifer Potts
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Julian H Elliott
- Cochrane Australia, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Future Evidence Foundation, Melbourne, Victoria, Australia
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5
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Shin S, Jung WH, McCutcheon R, Veronese M, Beck K, Lee JS, Lee YS, Howes OD, Kim E, Kwon JS. The Relationship Between Frontostriatal Connectivity and Striatal Dopamine Function in Schizophrenia: An 18F-DOPA PET and Diffusion Tensor Imaging Study in Treatment Responsive and Resistant Patients. Psychiatry Investig 2022; 19:570-579. [PMID: 35903059 PMCID: PMC9334810 DOI: 10.30773/pi.2022.0033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/13/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Striatal dopamine dysfunction caused by cortical abnormalities is a leading hypothesis of schizophrenia. Although prefrontal cortical pathology is negatively correlated with striatal dopamine synthesis, the relationship between structural frontostriatal connectivity and striatal dopamine synthesis has not been proved in patients with schizophrenia with different treatment response. We therefore investigated the relationship between frontostriatal connectivity and striatal dopamine synthesis in treatment-responsive schizophrenia (non-TRS) and compared them to treatment-resistant schizophrenia (TRS) and healthy controls (HC). METHODS Twenty-four patients with schizophrenia and twelve HC underwent [18F] DOPA PET scans to measure dopamine synthesis capacity (the influx rate constant Kicer) and diffusion 3T MRI to measure structural connectivity (fractional anisotropy, FA). Connectivity was assessed in 2 major frontostriatal tracts. Associations between Kicer and FA in each group were evaluated using Spearman's rho correlation coefficients. RESULTS Non-TRS showed a negative correlation (r=-0.629, p=0.028) between connectivity of dorsolateral prefrontal cortex-associative striatum (DLPFC-AST) and dopamine synthesis capacity of associative striatum but this was not evident in TRS (r=-0.07, p=0.829) and HC (r=-0.277, p=0.384). CONCLUSION Our findings are consistent with the hypothesis of dysregulation of the striatal dopaminergic system being related to prefrontal cortex pathology localized to connectivity of DLPFC-AST in non-TRS, and also extend the hypothesis to suggest that different mechanisms underlie the pathophysiology of non-TRS and TRS.
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Affiliation(s)
- Sangho Shin
- Department of Psychiatry, Korea University Ansan Hospital, Ansan, Republic of Korea.,Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Wi Hoon Jung
- Department of Psychology, Gachon University, Seongnam, Republic of Korea
| | - Robert McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Psychiatric Imaging, Medical Research Council Clinical Sciences Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Mattia Veronese
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Katherine Beck
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jae Sung Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yun-Sang Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Oliver D Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Psychiatric Imaging, Medical Research Council Clinical Sciences Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Euitae Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
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Catalan A, Radua J, McCutcheon R, Aymerich C, Pedruzo B, González-Torres MÁ, Baldwin H, Stone WS, Giuliano AJ, McGuire P, Fusar-Poli P. Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis. Transl Psychiatry 2022; 12:198. [PMID: 35551176 PMCID: PMC9098884 DOI: 10.1038/s41398-022-01961-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 04/18/2022] [Accepted: 04/27/2022] [Indexed: 11/09/2022] Open
Abstract
This study aims to meta-analytically characterize the presence and magnitude of within-group variability across neurocognitive functioning in young people at Clinical High-Risk for psychosis (CHR-P) and comparison groups. Multistep, PRISMA/MOOSE-compliant systematic review (PROSPERO-CRD42020192826) of the Web of Science database, Cochrane Central Register of Reviews and Ovid/PsycINFO and trial registries up to July 1, 2020. The risk of bias was assessed using a modified version of the NOS for cohort and cross-sectional studies. Original studies reporting neurocognitive functioning in individuals at CHR-P compared to healthy controls (HC) or first-episode psychosis (FEP) patients were included. The primary outcome was the random-effect meta-analytic variability ratios (VR). Secondary outcomes included the coefficient of variation ratios (CVR). Seventy-eight studies were included, relating to 5162 CHR-P individuals, 2865 HC and 486 FEP. The CHR-P group demonstrated higher variability compared to HC (in descending order of magnitude) in visual memory (VR: 1.41, 95% CI 1.02-1.94), executive functioning (VR: 1.31, 95% CI 1.18-1.45), verbal learning (VR: 1.29, 95% CI 1.15-1.45), premorbid IQ (VR: 1.27, 95% CI 1.09-1.49), processing speed (VR: 1.26, 95% CI 1.07-1.48), visual learning (VR: 1.20, 95% CI 1.07-1.34), and reasoning and problem solving (VR: 1.17, 95% CI 1.03-1.34). In the CVR analyses the variability in CHR-P population remains in the previous neurocognitive domains and emerged in attention/vigilance, working memory, social cognition, and visuospatial ability. The CHR-P group transitioning to psychosis showed greater VR in executive functioning compared to those not developing psychosis and compared to FEP groups. Clinical high risk for psychosis subjects shows increased variability in neurocognitive performance compared to HC. The main limitation of this study is the validity of the VR and CVR as an index of variability which has received debate. This finding should be explored by further individual-participant data research and support precision medicine approaches.
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Affiliation(s)
- Ana Catalan
- Mental Health Department. Basurto University Hospital. Biocruces Bizkaia Health Research Institute. Department of Neuroscience, Campus de Leioa, University of the Basque Country, UPV/EHU. Plaza de Cruces 12. 48903, Barakaldo, Bizkaia, Spain. .,Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Joaquim Radua
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.10403.360000000091771775Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Mental Health Research Networking Center (CIBERSAM), Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Robert McCutcheon
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Claudia Aymerich
- grid.414269.c0000 0001 0667 6181Psychiatry Department, Basurto University Hospital, Bilbao, Spain
| | - Borja Pedruzo
- grid.414269.c0000 0001 0667 6181Psychiatry Department, Basurto University Hospital, Bilbao, Spain
| | - Miguel Ángel González-Torres
- grid.11480.3c0000000121671098Mental Health Department. Basurto University Hospital. Biocruces Bizkaia Health Research Institute. Department of Neuroscience, Campus de Leioa, University of the Basque Country, UPV/EHU. Plaza de Cruces 12. 48903, Barakaldo, Bizkaia Spain
| | - Helen Baldwin
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - William S. Stone
- grid.239395.70000 0000 9011 8547Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Anthony J. Giuliano
- grid.435881.30000 0001 0394 0960Worcester Recovery Center & Hospital, Massachusetts Department of Mental Health, Boston, MA USA
| | - Philip McGuire
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paolo Fusar-Poli
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy ,grid.451056.30000 0001 2116 3923National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), London, UK ,grid.37640.360000 0000 9439 0839Outreach and Support in South London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK
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Ribeiro D, Hallett W, Howes O, McCutcheon R, Nour MM, Tavares AAS. Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [ 11C]PHNO brain PET-MR studies. EJNMMI Res 2022; 12:11. [PMID: 35184229 PMCID: PMC8859021 DOI: 10.1186/s13550-022-00883-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 01/26/2022] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Q.Clear is a Bayesian penalised likelihood (BPL) reconstruction algorithm available on General Electric (GE) Positron Emission Tomography (PET)-Computed Tomography (CT) and PET-Magnetic Resonance (MR) scanners. This algorithm is regulated by a β value which acts as a noise penalisation factor and yields improvements in signal to noise ratio (SNR) in clinical scans, and in contrast recovery and spatial resolution in phantom studies. However, its performance in human brain imaging studies remains to be evaluated in depth. This pilot study aims to investigate the impact of Q.Clear reconstruction methods using different β value versus ordered subset expectation maximization (OSEM) on brain kinetic modelling analysis of low count brain images acquired in the PET-MR. METHODS Six [11C]PHNO PET-MR brain datasets were reconstructed with Q.Clear with β100-1000 (in increments of 100) and OSEM. The binding potential relative to non-displaceable volume (BPND) were obtained for the Substantia Nigra (SN), Striatum (St), Globus Pallidus (GP), Thalamus (Th), Caudate (Cd) and Putamen (Pt), using the MIAKAT™ software. Intraclass correlation coefficients (ICC), repeatability coefficients (RC), coefficients of variation (CV) and bias from Bland-Altman plots were reported. Statistical analysis was conducted using a 2-way ANOVA model with correction for multiple comparisons. RESULTS When comparing a standard OSEM reconstruction of 6 iterations/16 subsets and 5 mm filter with Q.Clear with different β values under low counts, the bias and RC were lower for Q.Clear with β100 for the SN (RC = 2.17), Th (RC = 0.08) and GP (RC = 0.22) and with β200 for the St (RC = 0.14), Cd (RC = 0.18)and Pt (RC = 0.10). The p-values in the 2-way ANOVA model corroborate these findings. ICC values obtained for Th, St, GP, Pt and Cd demonstrate good reliability (0.87, 0.99, 0.96, 0.99 and 0.96, respectively). For the SN, ICC values demonstrate poor reliability (0.43). CONCLUSION BPND results obtained from quantitative low count brain PET studies using [11C]PHNO and reconstructed with Q.Clear with β < 400, which is the value used for clinical [18F]FDG whole-body studies, demonstrate the lowest bias versus the typical iterative reconstruction method OSEM.
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Affiliation(s)
- Daniela Ribeiro
- Invicro, Centre for Imaging Sciences, Hammersmith Hospital, Invicro, Imperial College London, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK. .,Edinburgh Imaging, The University of Edinburgh, Edinburgh, UK.
| | - William Hallett
- Invicro, Centre for Imaging Sciences, Hammersmith Hospital, Invicro, Imperial College London, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
| | - Oliver Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Institute of Medical Sciences, Medical Research Council London, London, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Robert McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Institute of Medical Sciences, Medical Research Council London, London, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Matthew M Nour
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Max Planck Centre for Computational Psychiatry and Ageing Research, Institute of Neurology, University College London, London, UK.,Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK
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Osugo M, Whitehurst T, Shatalina E, Townsend L, O’Brien O, Mak TLA, McCutcheon R, Howes O. Dopamine partial agonists and prodopaminergic drugs for schizophrenia: systematic review and meta-analysis of randomized controlled trials. Neurosci Biobehav Rev 2022; 135:104568. [DOI: 10.1016/j.neubiorev.2022.104568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/16/2021] [Accepted: 02/02/2022] [Indexed: 10/19/2022]
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Guo X, McCutcheon R, Pillinger T, Arumuham A, Chen J, Ma S, Yang J, Wang Y, Hu S, Wang G, Liu ZC. Acute psychological impact of coronavirus disease 2019 outbreak among psychiatric professionals in China: a multicentre, cross-sectional, web-based study. BMJ Open 2021; 11:e047828. [PMID: 33980532 PMCID: PMC8117468 DOI: 10.1136/bmjopen-2020-047828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/28/2021] [Accepted: 04/28/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES To assess the magnitude of mental health outcomes and associated factors among psychiatric professionals in mental health services during COVID-19 in China. DESIGN, SETTING AND PARTICIPANTS This cross-sectional, survey-based, region-stratified study collected demographic data and mental health measurements from psychiatric professionals in 34 hospitals between 29 January and 7 February 2020, in China. Hospitals equipped with fever clinics or deployed on wards for patients with COVID-19 were eligible. PRIMARY OUTCOME AND MEASURES The severity of symptoms of depression, anxiety, insomnia and distress were assessed by the Chinese versions of 9-item Patient Health Questionnaire, 7-item Generalised Anxiety Disorder, 7-item Insomnia Severity Index and 22-item Impact of Event Scale-Revised, respectively. Multivariable logistic regression and structural equation modelling was performed to identify factors associated with mental health outcomes. RESULTS A total of 610 psychiatric professionals were included. 29.8% were employed in Wuhan, and 22.5% were frontline workers. A considerable proportion of participants reported symptoms of depression (461 (75.6%)), anxiety (282 (46.2%)), insomnia (336 (55.1%)) and mental stress (481 (78.9%)). Psychiatric symptoms were associated with worrying about infection (eg, OR 2.36 (95% CI 1.27 to 4.39) for anxiety), risks of exposure to COVID-19 (eg, having inadequate personal protection equipment, OR 2.43 (1.32 to 4.47) for depression) and self-perceived physical health (eg, OR 3.22 (2.24 to 4.64) for mental stress). Information sources of COVID-19 were also found to be both positively (eg, information from relatives, OR 2.16 (1.46 to 3.21) for mental stress) and negatively (eg, information from TV, OR 0.52 (0.35 to 0.77) for mental stress) associated with mental stress. There is preliminary evidence that mental health might benefit from greater availability of mental healthcare services. The structural equation model analysis indicated that worrying about infection may be the primary mediator via which risk of exposure to COVID-19 pandemic affects the mental health of psychiatric professionals. CONCLUSIONS The current findings demonstrate several pathways via which the COVID-19 pandemic may have negatively affected the mental health of psychiatric professionals in China.
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Affiliation(s)
- Xin Guo
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Robert McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Toby Pillinger
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Atheeshaan Arumuham
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jianhua Chen
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Simeng Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jun Yang
- School of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shaohua Hu
- Department of Psychiatry, Zhejiang University, Hangzhou, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhong-Chun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
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McCutcheon R, Pillinger T, Welby G, Vano L, Cummings C, Guo X, Heron TA, Efthimiou O, Cipriani A, Howes O. Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies. Evid Based Ment Health 2021; 24:ebmental-2020-300229. [PMID: 33849995 PMCID: PMC8311078 DOI: 10.1136/ebmental-2020-300229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Structural MRI is the most frequently used method to investigate brain volume alterations in neuropsychiatric disease. Previous meta-analyses have typically focused on a single diagnosis, thereby precluding transdiagnostic comparisons. METHODS AND ANALYSIS We will include all structural MRI studies of adults that report brain volumes for participants from at least two of the following diagnostic groups: healthy controls, schizophrenia, schizoaffective disorder, delusional disorder, psychotic depression, clinical high risk for psychosis, schizotypal personality disorder, psychosis unspecified, bipolar disorder, autism spectrum disorder, major depressive disorder, attention deficit hyperactivity disorder, obsessive compulsive disorder, post-traumatic stress disorder, emotionally unstable personality disorder, 22q11 deletion syndrome, generalised anxiety disorder, social anxiety disorder, panic disorder, mixed anxiety and depression. Network meta-analysis will be used to synthesise eligible studies. The primary analysis will examine standardised mean difference in average volume, a secondary analysis will examine differences in variability of volumes. DISCUSSION This network meta-analysis will provide a transdiagnostic integration of structural neuroimaging studies, providing researchers with a valuable summary of a large literature. PROSPERO REGISTRATION NUMBER CRD42020221143.
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Affiliation(s)
- Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Toby Pillinger
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - George Welby
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Luke Vano
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Connor Cummings
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Xin Guo
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Toni Ann Heron
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Orestis Efthimiou
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
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Beck K, Hindley G, Borgan F, Ginestet C, McCutcheon R, Brugger S, Driesen N, Ranganathan M, D’Souza DC, Taylor M, Krystal JH, Howes OD. Association of Ketamine With Psychiatric Symptoms and Implications for Its Therapeutic Use and for Understanding Schizophrenia: A Systematic Review and Meta-analysis. JAMA Netw Open 2020; 3:e204693. [PMID: 32437573 PMCID: PMC7243091 DOI: 10.1001/jamanetworkopen.2020.4693] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
IMPORTANCE Ketamine hydrochloride is increasingly used to treat depression and other psychiatric disorders but can induce schizophrenia-like or psychotomimetic symptoms. Despite this risk, the consistency and magnitude of symptoms induced by ketamine or what factors are associated with these symptoms remain unknown. OBJECTIVE To conduct a meta-analysis of the psychopathological outcomes associated with ketamine in healthy volunteers and patients with schizophrenia and the experimental factors associated with these outcomes. DATA SOURCES MEDLINE, Embase, and PsychINFO databases were searched for within-participant, placebo-controlled studies reporting symptoms using the Brief Psychiatric Rating Scale (BPRS) or the Positive and Negative Syndrome Scale (PANSS) in response to an acute ketamine challenge in healthy participants or patients with schizophrenia. STUDY SELECTION Of 8464 citations retrieved, 36 studies involving healthy participants were included. Inclusion criteria were studies (1) including healthy participants; (2) reporting symptoms occurring in response to acute administration of subanesthetic doses of ketamine (racemic ketamine, s-ketamine, r-ketamine) intravenously; (3) containing a placebo condition with a within-subject, crossover design; (4) measuring total positive or negative symptoms using BPRS or PANSS; and (5) providing data allowing the estimation of the mean difference and deviation between the ketamine and placebo condition. DATA EXTRACTION AND SYNTHESIS Two independent investigators extracted study-level data for a random-effects meta-analysis. Total, positive, and negative BPRS and PANSS scores were extracted. Subgroup analyses were conducted examining the effects of blinding status, ketamine preparation, infusion method, and time between ketamine and placebo conditions. The Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. MAIN OUTCOMES AND MEASURES Standardized mean differences (SMDs) were used as effect sizes for individual studies. Standardized mean differences between ketamine and placebo conditions were calculated for total, positive, and negative BPRS and PANSS scores. RESULTS The overall sample included 725 healthy volunteers (mean [SD] age, 28.3 [3.6] years; 533 [73.6%] male) exposed to the ketamine and placebo conditions. Racemic ketamine or S-ketamine was associated with a statistically significant increase in transient psychopathology in healthy participants for total (SMD = 1.50 [95% CI, 1.23-1.77]; P < .001), positive (SMD = 1.55 [95% CI, 1.29-1.81]; P < .001), and negative (SMD = 1.16 [95% CI, 0.96-1.35]; P < .001) symptom ratings relative to the placebo condition. The effect size for this association was significantly greater for positive than negative symptoms of psychosis (estimate, 0.36 [95% CI, 0.12-0.61]; P = .004). There was significant inconsistency in outcomes between studies (I2 range, 77%-83%). Bolus followed by constant infusion increased ketamine's association with positive symptoms relative to infusion alone (effect size, 1.63 [95% CI, 1.36-1.90] vs 0.84 [95% CI, 0.35-1.33]; P = .006). Single-day study design increased ketamine's ability to generate total symptoms (effect size, 2.29 [95% CI, 1.69-2.89] vs 1.39 [95% CI, 1.12-1.66]; P = .007), but age and sex did not moderate outcomes. Insufficient studies were available for meta-analysis of studies in schizophrenia. Of these studies, 2 found a statistically significant increase in symptoms with ketamine administration in total and positive symptoms. Only 1 study found an increase in negative symptom severity with ketamine. CONCLUSIONS AND RELEVANCE This study found that acute ketamine administration was associated with schizophrenia-like or psychotomimetic symptoms with large effect sizes, but there was a greater increase in positive than negative symptoms and when a bolus was used. These findings suggest that bolus doses should be avoided in the therapeutic use of ketamine to minimize the risk of inducing transient positive (psychotic) symptoms.
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Affiliation(s)
- Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Psychiatric Imaging Group, MRC (Medical Research Council) London Institute of Medical Sciences, Hammersmith Hospital, London, United Kingdom
- South London and Maudsley NHS (National Health Service) Foundation Trust, London, United Kingdom
| | - Guy Hindley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Faith Borgan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Cedric Ginestet
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Psychiatric Imaging Group, MRC (Medical Research Council) London Institute of Medical Sciences, Hammersmith Hospital, London, United Kingdom
- South London and Maudsley NHS (National Health Service) Foundation Trust, London, United Kingdom
| | - Stefan Brugger
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Division of Psychiatry, University College London, London, United Kingdom
- Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom
| | - Naomi Driesen
- Yale University Medical School, Veterans Affairs Connecticut Health Care System, West Haven
| | - Mohini Ranganathan
- Yale University Medical School, Veterans Affairs Connecticut Health Care System, West Haven
- Department of Psychiatry and National Center for Posttraumatic Stress Disorder (PTSD), Veterans Affairs Connecticut Healthcare System, West Haven
| | - Deepak Cyril D’Souza
- Yale University Medical School, Veterans Affairs Connecticut Health Care System, West Haven
- Department of Psychiatry and National Center for Posttraumatic Stress Disorder (PTSD), Veterans Affairs Connecticut Healthcare System, West Haven
| | - Matthew Taylor
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- University Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom
| | - John H. Krystal
- Yale University Medical School, Veterans Affairs Connecticut Health Care System, West Haven
- Department of Veteran Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, Veterans Affairs Connecticut Healthcare System, West Haven
| | - Oliver D. Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Psychiatric Imaging Group, MRC (Medical Research Council) London Institute of Medical Sciences, Hammersmith Hospital, London, United Kingdom
- South London and Maudsley NHS (National Health Service) Foundation Trust, London, United Kingdom
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
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Hindley G, Beck K, Borgan F, Ginestet CE, McCutcheon R, Kleinloog D, Ganesh S, Radhakrishnan R, D'Souza DC, Howes OD. Psychiatric symptoms caused by cannabis constituents: a systematic review and meta-analysis. Lancet Psychiatry 2020; 7:344-353. [PMID: 32197092 PMCID: PMC7738353 DOI: 10.1016/s2215-0366(20)30074-2] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/07/2020] [Accepted: 02/07/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Approximately 188 million people use cannabis yearly worldwide, and it has recently been legalised in 11 US states, Canada, and Uruguay for recreational use. The potential for increased cannabis use highlights the need to better understand its risks, including the acute induction of psychotic and other psychiatric symptoms. We aimed to investigate the effect of the cannabis constituent Δ9-tetrahydrocannabinol (THC) alone and in combination with cannabidiol (CBD) compared with placebo on psychiatric symptoms in healthy people. METHODS In this systematic review and meta-analysis, we searched MEDLINE, Embase, and PsycINFO for studies published in English between database inception and May 21, 2019, with a within-person, crossover design. Inclusion criteria were studies reporting symptoms using psychiatric scales (the Brief Psychiatric Rating Scale [BPRS] and the Positive and Negative Syndrome Scale [PANSS]) following the acute administration of intravenous, oral, or nasal THC, CBD, and placebo in healthy participants, and presenting data that allowed calculation of standardised mean change (SMC) scores for positive (including delusions and hallucinations), negative (such as blunted affect and amotivation), and general (including depression and anxiety) symptoms. We did a random-effects meta-analysis to assess the main outcomes of the effect sizes for total, positive, and negative PANSS and BPRS scores measured in healthy participants following THC administration versus placebo. Because the number of studies to do a meta-analysis on CBD's moderating effects was insufficient, this outcome was only systematically reviewed. This study is registered with PROSPERO, CRD42019136674. FINDINGS 15 eligible studies involving the acute administration of THC and four studies on CBD plus THC administration were identified. Compared with placebo, THC significantly increased total symptom severity with a large effect size (assessed in nine studies, with ten independent samples, involving 196 participants: SMC 1·10 [95% CI 0·92-1·28], p<0·0001); positive symptom severity (assessed in 14 studies, with 15 independent samples, involving 324 participants: SMC 0·91 [95% CI 0·68-1·14], p<0·0001); and negative symptom severity with a large effect size (assessed in 12 studies, with 13 independent samples, involving 267 participants: SMC 0·78 [95% CI 0·59-0·97], p<0·0001). In the systematic review, of the four studies evaluating CBD's effects on THC-induced symptoms, only one identified a significant reduction in symptoms. INTERPRETATION A single THC administration induces psychotic, negative, and other psychiatric symptoms with large effect sizes. There is no consistent evidence that CBD induces symptoms or moderates the effects of THC. These findings highlight the potential risks associated with the use of cannabis and other cannabinoids that contain THC for recreational or therapeutic purposes. FUNDING UK Medical Research Council, Maudsley Charity, Brain and Behavior Research Foundation, Wellcome Trust, and the UK National Institute for Health Research.
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Affiliation(s)
- Guy Hindley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and the Maudsley NHS Foundation Trust, London, UK; MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Faith Borgan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cedric E Ginestet
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Kleinloog
- Department of Intensive Care Medicine, Leiden University Medical Hospital, Leiden, Netherlands
| | - Suhas Ganesh
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Rajiv Radhakrishnan
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Deepak Cyril D'Souza
- Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and the Maudsley NHS Foundation Trust, London, UK; MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK.
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Meyer N, Faulkner S, McCutcheon R, Pillinger T, Dijk DJ, MacCabe J. Transdiagnostic sleep and circadian rhythm disturbance in schizophrenia and bipolar disorder: a systematic review and meta-analysis. Sleep Med 2019. [DOI: 10.1016/j.sleep.2019.11.709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Borgan F, Beck K, Butler E, McCutcheon R, Veronese M, Vernon A, Howes OD. The effects of cannabinoid 1 receptor compounds on memory: a meta-analysis and systematic review across species. Psychopharmacology (Berl) 2019; 236:3257-3270. [PMID: 31165913 PMCID: PMC6828623 DOI: 10.1007/s00213-019-05283-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/20/2019] [Indexed: 01/01/2023]
Abstract
RATIONALE While cannabis-based medicinal products have been shown to be effective for numerous neurological and psychiatric disorders, the evidence base regarding their adverse cognitive effects is poorly understood. The cannabinoid 1 receptor modulates memory performance via intracellular and extracellular mechanisms that alter synaptic transmission and plasticity. While previous literature has consistently shown that chronic cannabis users exhibit marked cognitive impairments, mixed findings have been reported in the context of placebo-controlled experimental trials. It is therefore unclear whether these compounds inherently alter cognitive processes or whether individuals who are genetically predisposed to use cannabis may have underlying cognitive deficits. OBJECTIVE We conducted a meta-analysis to investigate the effects of full and partial cannabinoid 1 receptor (CB1R) agonists, antagonists, and negative allosteric modulators on non-spatial and spatial memory. METHODS In accordance with the PRISMA guidelines, the EMBASE, MEDLINE, and PsycINFO databases were systematically searched for studies examining the effects of CB1R agonists, antagonists, and negative allosteric modulators on memory performance. RESULTS We systematically reviewed 195 studies investigating the effects of cannabinoid compounds on memory. In humans (N = 35 studies, comprising N = 782 subjects), delta-9-tetrahydrocannabinol (THC) (1.5-5 mg/kg) relative to placebo impaired performance on non-spatial memory tests, whereas only high THC doses (67 mg/kg) impaired spatial memory. Similarly, THC (0.2-4 mg/kg) significantly impaired visuospatial memory in monkeys and non-human primates (N = 8 studies, comprising N = 71 subjects). However, acute THC (0.002-10 mg/kg) had no effect on non-spatial (N = 6 studies, comprising 117 subjects; g = 1.72, 95% confidence interval (CI) - 0.18 to 3.63, p = 0.08) or spatial memory (9 studies, comprising 206 subjects; g = 0.75, 95% confidence interval (CI) - 1.09 to 2.58, p = 0.43). However, acute, full CB1R agonists significantly impaired non-spatial memory (N = 23 studies, 519 subjects; g = - 1.39, 95% CI - 2.72 to - 0.06, p = 0.03). By contrast, the chronic administration of CB1R agonists had no effect on non-spatial memory (N = 5 studies, comprising 146 subjects; g = - 0.05, 95% confidence interval (CI) - 1.32 to 1.22, p = 0.94). Moreover, the acute administration of CB1R antagonists had no effect on non-spatial memory in rodents (N = 9 studies, N = 149 subjects; g = 0.40, 95% CI - 0.11 to 0.92, p = 0.12). CONCLUSIONS The acute administration of THC, partial CB1R agonist, significantly impaired non-spatial memory in humans, monkeys, and non-human primates but not rodents. However, full CB1R agonists significantly impaired non-spatial memory in a dose-dependent manner but CB1R antagonists had no effect on non-spatial memory in rodents. Moreover, chronic THC administration did not significantly impair spatial or non-spatial memory in rodents, and there is inconclusive evidence on this in humans. Our findings highlight species differences in the effects of cannabinoid compounds on memory.
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Affiliation(s)
- Faith Borgan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park Road, London, SE5 8AF, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park Road, London, SE5 8AF, UK
| | - Emma Butler
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park Road, London, SE5 8AF, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park Road, London, SE5 8AF, UK
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anthony Vernon
- Department of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park Road, London, SE5 8AF, UK.
- Department of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Psychiatric Imaging Group, Faculty of Medicine, MRC London Institute of Medical Sciences (LMS), Imperial College London, London, UK.
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Abstract
BACKGROUND Treatment-resistant schizophrenia (TRS) is a major cause of disability. Clozapine is currently the only antipsychotic medication licensed for its treatment. However, the rate of treatment resistance among outpatients with schizophrenia or other psychoses, and the rate of use of clozapine among them, is not known. AIMS The aims of this study are (a) to determine the point prevalence of treatment-resistant psychosis in a community sample, and (b) to determine the number of patients with TRS who have never had a clozapine trial. METHOD Clinico-demographic data were extracted from the case notes for 202 patients from two community mental-health teams. RESULTS We found that 56% (99/176) had a diagnosis of TRS, and 52% (51/99) of these patients had never been treated with clozapine. Patients of non-white ethnicity were less likely to have had a clozapine trial (p=0.009). The point prevalence of treatment resistance within the bipolar affective disorder sample was 19% (5/26). CONCLUSION These findings suggest that TRS is common in the community mental-health team, and a large proportion of these patients have not received clozapine. These findings indicate that identifying and treating treatment resistance should be a focus of community services for schizophrenia.
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Affiliation(s)
- Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and the Maudsley NHS Foundation Trust, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and the Maudsley NHS Foundation Trust, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK
| | - Lucy Stephenson
- South London and the Maudsley NHS Foundation Trust, London, UK
| | | | - Natasha Patel
- South London and the Maudsley NHS Foundation Trust, London, UK
| | - Rosalind Ramsay
- South London and the Maudsley NHS Foundation Trust, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and the Maudsley NHS Foundation Trust, London, UK
- MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK
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Kaar SJ, Natesan S, McCutcheon R, Howes OD. Antipsychotics: Mechanisms underlying clinical response and side-effects and novel treatment approaches based on pathophysiology. Neuropharmacology 2019; 172:107704. [PMID: 31299229 DOI: 10.1016/j.neuropharm.2019.107704] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 06/13/2019] [Accepted: 07/08/2019] [Indexed: 12/17/2022]
Abstract
Antipsychotic drugs are central to the treatment of schizophrenia and other psychotic disorders but are ineffective for some patients and associated with side-effects and nonadherence in others. We review the in vitro, pre-clinical, clinical and molecular imaging evidence on the mode of action of antipsychotics and their side-effects. This identifies the key role of striatal dopamine D2 receptor blockade for clinical response, but also for endocrine and motor side-effects, indicating a therapeutic window for D2 blockade. We consider how partial D2/3 receptor agonists fit within this framework, and the role of off-target effects of antipsychotics, particularly at serotonergic, histaminergic, cholinergic, and adrenergic receptors for efficacy and side-effects such as weight gain, sedation and dysphoria. We review the neurobiology of schizophrenia relevant to the mode of action of antipsychotics, and for the identification of new treatment targets. This shows elevated striatal dopamine synthesis and release capacity in dorsal regions of the striatum underlies the positive symptoms of psychosis and suggests reduced dopamine release in cortical regions contributes to cognitive and negative symptoms. Current drugs act downstream of the major dopamine abnormalities in schizophrenia, and potentially worsen cortical dopamine function. We consider new approaches including targeting dopamine synthesis and storage, autoreceptors, and trace amine receptors, and the cannabinoid, muscarinic, GABAergic and glutamatergic regulation of dopamine neurons, as well as post-synaptic modulation through phosphodiesterase inhibitors. Finally, we consider treatments for cognitive and negative symptoms such dopamine agonists, nicotinic agents and AMPA modulators before discussing immunological approaches which may be disease modifying. This article is part of the issue entitled 'Special Issue on Antipsychotics'.
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Affiliation(s)
- Stephen J Kaar
- Department of Psychosis Studies, 5th Floor, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, PO63 De Crespigny Park, London, SE5 8AF, United Kingdom.
| | - Sridhar Natesan
- Department of Psychosis Studies, 5th Floor, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, PO63 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Robert McCutcheon
- Department of Psychosis Studies, 5th Floor, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, PO63 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Oliver D Howes
- Department of Psychosis Studies, 5th Floor, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, PO63 De Crespigny Park, London, SE5 8AF, United Kingdom.
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Pillinger T, D’Ambrosio E, McCutcheon R, Howes OD. Is psychosis a multisystem disorder? A meta-review of central nervous system, immune, cardiometabolic, and endocrine alterations in first-episode psychosis and perspective on potential models. Mol Psychiatry 2019; 24:776-794. [PMID: 29743584 PMCID: PMC6124651 DOI: 10.1038/s41380-018-0058-9] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 02/01/2018] [Accepted: 02/21/2018] [Indexed: 01/02/2023]
Abstract
People with psychotic disorders show abnormalities in several organ systems in addition to the central nervous system (CNS); and this contributes to excess mortality. However, it is unclear how strong the evidence is for alterations in non-CNS systems at the onset of psychosis, how the alterations in non-CNS systems compare to those in the CNS, or how they relate to symptoms. Here, we consider these questions, and suggest potential models to account for findings. We conducted a systematic meta-review to summarize effect sizes for both CNS (focusing on brain structural, neurophysiological, and neurochemical parameters) and non-CNS dysfunction (focusing on immune, cardiometabolic, and hypothalamic-pituitary-adrenal (HPA) systems) in first-episode psychosis (FEP). Relevant meta-analyses were identified in a systematic search of Pubmed and the methodological quality of these was assessed using the AMSTAR checklist (A Measurement Tool to Assess Systematic Reviews). Case-control data were extracted from studies included in these meta-analyses. Random effects meta-analyses were re-run and effect size magnitudes for individual parameters were calculated, as were summary effect sizes for each CNS and non-CNS system. We also grouped studies to obtain overall effect sizes for non-CNS and CNS alterations. Robustness of data for non-CNS and CNS parameters was assessed using Rosenthal's fail-safe N. We next statistically compared summary effect size for overall CNSand overall non-CNS alterations, as well as for each organ system separately. We also examined how non-CNS alterations correlate CNS alterations, and with psychopathological symptoms. Case-control data were extracted for 165 studies comprising a total sample size of 13,440. For people with first episode psychosis compared with healthy controls, we observed alterations in immune parameters (summary effect size: g = 1.19), cardiometabolic parameters (g = 0.23); HPA parameters (g = 0.68); brain structure (g = 0.40); neurophysiology (g = 0.80); and neurochemistry (g = 0.43). Grouping non-CNS organ systems together provided an effect size for overall non-CNS alterations in patients compared with controls (g = 0.58), which was not significantly different from the overall CNS alterations effect size (g = 0.50). However, the summary effect size for immune alterations was significantly greater than that for brain structural (P < 0.001) and neurochemical alterations (P < 0.001), while the summary effect size for cardiometabolic alterations was significantly lower than neurochemical (P = 0.04), neurophysiological (P < 0.001), and brain structural alterations (P = 0.001). The summary effect size for HPA alterations was not significantly different from brain structural (P = 0.14), neurophysiological (P = 0.54), or neurochemical alterations (P = 0.22). These outcomes remained similar in antipsychotic naive sensitivity analyses. We found some, but limited and inconsistent, evidence that non-CNS alterations were associated with CNS changes and symptoms in first episode psychosis. Our findings indicate that there are robust alterations in non-CNS systems in psychosis, and that these are broadly similar in magnitude to a range of CNS alterations. We consider models that could account for these findings and discuss implications for future research and treatment.
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Affiliation(s)
- Toby Pillinger
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Enrico D’Ambrosio
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Robert McCutcheon
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Oliver D. Howes
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK ,0000000122478951grid.14105.31MRC London Institute of Medical Sciences (LMS), Du Cane Road, London, W12 0NN UK ,0000 0001 2113 8111grid.7445.2Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, Du Cane Road, London, W12 0NN UK
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Pillinger T, D’Ambrosio E, McCutcheon R, Howes OD. Correction to: Is psychosis a multisystem disorder? A meta-review of central nervous system, immune, cardiometabolic, and endocrine alterations in first-episode psychosis and perspective on potential models. Mol Psychiatry 2019; 24:928. [PMID: 30337658 PMCID: PMC7608085 DOI: 10.1038/s41380-018-0275-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Updated online [insert date]: This article was originally published under standard licence, but has now been made available under a [CC BY 4.0] license. The PDF and HTML versions of the paper have been modified accordingly.
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Affiliation(s)
- Toby Pillinger
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Enrico D’Ambrosio
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Robert McCutcheon
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Oliver D. Howes
- 0000 0001 2322 6764grid.13097.3cIoPPN, King’s College London, De Crespigny Park, London, SE5 8AF UK ,0000000122478951grid.14105.31MRC London Institute of Medical Sciences (LMS), Du Cane Road, London, W12 0NN UK ,0000 0001 2113 8111grid.7445.2Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, Du Cane Road, London, W12 0NN UK
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Jauhar S, McCutcheon R, Borgan F, Veronese M, Nour M, Pepper F, Rogdaki M, Stone J, Egerton A, Turkheimer F, McGuire P, Howes OD. The relationship between cortical glutamate and striatal dopamine in first-episode psychosis: a cross-sectional multimodal PET and magnetic resonance spectroscopy imaging study. Lancet Psychiatry 2018; 5:816-823. [PMID: 30236864 PMCID: PMC6162342 DOI: 10.1016/s2215-0366(18)30268-2] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 07/02/2018] [Accepted: 07/05/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND The pathophysiology of psychosis is incompletely understood. Disruption in cortical glutamatergic signalling causing aberrant striatal dopamine synthesis capacity is a proposed model for psychosis, but has not been tested in vivo. We therefore aimed to test the relationship between cortical glutamate concentrations and striatal dopamine synthesis capacity, and psychotic symptoms. METHODS In this cross-sectional multimodal imaging study, 28 individuals with first-episode psychosis and 28 healthy controls underwent 18F-DOPA PET (measuring striatal dopamine synthesis capacity), and proton magnetic resonance spectroscopy (measuring anterior cingulate cortex glutamate concentrations). Participants were recruited from first-episode psychosis services in London, UK and were required to be in the first episode of a psychotic illness, with no previous illness or treatment episodes. Exclusion criteria for all participants were: history of substantial head trauma, dependence on illicit substances, medical comorbidity (other than minor illnesses), and contraindications to scanning (such as pregnancy). Symptoms were measured using the Positive and Negative Syndrome Scale. The primary endpoint was the relationship between anterior cingulate cortex glutamate concentrations and striatal dopamine synthesis capacity in individuals with their first episode of psychosis as shown by imaging, examined by linear regression. Linear regression was used to examine relationships between measures. FINDINGS Glutamate concentrations showed a significant inverse relationship with striatal dopamine synthesis capacity in patients with psychosis (R2=0·16, p=0·03, β -1·71 × 10-4, SE 0·76 × 10-4). This relationship remained significant after the addition of age, gender, ethnicity, and medication status to the model (p=0·015). In healthy controls, there was no significant relationship between dopamine and glutamate measures (R2=0·04, p=0·39). Positive and Negative Syndrome Scale positive psychotic symptoms were positively associated with striatal dopamine synthesis capacity (R2=0·14, p=0·046, β 2546, SE 1217) and showed an inverse relationship with anterior cingulate glutamate concentrations (R2=0·16, p=0·03, β -1·71 × 10-4, SE 7·63 × 10-5). No relationships were seen with negative symptoms (positive symptoms, mean [SD] -18·4 (6·6) negative symptoms, mean [SD] -15·4 [6·1]). INTERPRETATION These observations are consistent with the hypothesis that cortical glutamate dysfunction is related to subcortical dopamine synthesis capacity and psychosis. Although the precise mechanistic relationship between cortical glutamate and dopamine in vivo remains unclear, our findings support further studies to test the effect of modulating cortical glutamate in the treatment of psychosis. FUNDING Medical Research Council, Wellcome Trust, Biomedical Research Council, South London and Maudsley NHS Foundation Trust, JMAS Sim Fellowship, Royal College of Physicians (Edinburgh) (SJ).
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Affiliation(s)
- Sameer Jauhar
- Department of Psychological Medicine, King's College, London, UK; Early Intervention Psychosis Clinical Academic Group, South London and Maudsley NHS Trust, London, UK
| | | | - Faith Borgan
- Department of Psychosis Studies, King's College, London, UK
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Matthew Nour
- Department of Psychosis Studies, King's College, London, UK
| | - Fiona Pepper
- Department of Psychosis Studies, King's College, London, UK
| | - M Rogdaki
- Department of Psychosis Studies, King's College, London, UK
| | - James Stone
- Department of Psychological Medicine, King's College, London, UK; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Alice Egerton
- Department of Psychosis Studies, King's College, London, UK
| | - Frederico Turkheimer
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, King's College, London, UK; Early Intervention Psychosis Clinical Academic Group, South London and Maudsley NHS Trust, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, King's College, London, UK; Psychiatric Imaging Group MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College, Hammersmith Hospital, London, UK.
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Abstract
BACKGROUND Studies using positron emission tomography to image striatal dopamine function, have demonstrated that individuals with schizophrenia display increases in presynaptic function. Mesolimbic dysfunction specifically, has previously been suggested to underlie psychotic symptoms. This has not been directly tested in vivo, and the precise anatomical locus of dopamine dysfunction within the striatum remains unclear. The current article investigates the magnitude of dopaminergic abnormalities in individuals with schizophrenia, and determines how the magnitude of abnormality varies across functional subdivisions of the striatum. METHODS EMBASE, PsychINFO, and MEDLINE were searched from January 1, 1960, to December 1, 2016. Inclusion criteria were molecular imaging studies that had measured presynaptic striatal dopamine functioning. Effects sizes for whole striatum and functional subdivisions were calculated separately. The magnitude of difference between functional subdivisions in patients and controls was meta-analyzed. RESULTS Twenty-one eligible studies were identified, including 269 patients and 313 controls. Individuals with schizophrenia (Hedges' g = 0.68, P < .001) demonstrated elevated presynaptic dopamine functioning compared to controls. Seven studies examined functional subdivisions. These demonstrated significant increases in patients compared to controls in associative (g = 0.73, P = .002) and sensorimotor (g = 0.54, P = .005) regions, but not limbic (g = 0.29, P = .09). The magnitude of the difference between associative and limbic subdivisions was significantly greater in patients compared to controls (g = 0.39, P = .003). CONCLUSION In individuals with schizophrenia dopaminergic dysfunction is greater in dorsal compared to limbic subdivisions of the striatum. This is inconsistent with the mesolimbic hypothesis and identifies the dorsal striatum as a target for novel treatment development.
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Affiliation(s)
- Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK,South London and Maudsley NHS Foundation Trust, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK,South London and Maudsley NHS Foundation Trust, London, UK
| | - Sameer Jauhar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK,South London and Maudsley NHS Foundation Trust, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK,South London and Maudsley NHS Foundation Trust, London, UK,To whom correspondence should be addressed; Institute of Psychiatry, Psychology & Neuroscience,King’s College London, Box 67, De Crespigny Park, Camberwell, London SE5 8AF, UK; tel: +44-207-848-0355, e-mail:
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McCutcheon R, Bloomfield MAP, Dahoun T, Quinlan M, Terbeck S, Mehta M, Howes O. Amygdala reactivity in ethnic minorities and its relationship to the social environment: an fMRI study. Psychol Med 2018; 48:1985-1992. [PMID: 29328019 PMCID: PMC5933521 DOI: 10.1017/s0033291717003506] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 11/01/2017] [Accepted: 11/01/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND Ethnic minority individuals have an increased risk of developing a psychotic disorder, particularly if they live in areas of ethnic segregation, or low own group ethnic density. The neurobiological mechanisms underlying this ethnic minority associated risk are unknown. We used functional MRI to investigate neural responses to faces of different ethnicity, in individuals of black ethnicity, and a control group of white British ethnicity individuals. METHODS In total 20 individuals of black ethnicity, and 22 individuals of white British ethnicity underwent a 3T MRI scan while viewing faces of black and white ethnicity. Own group ethnic density was calculated from the 2011 census. Neighbourhood segregation was quantified using the Index of Dissimilarity method. RESULTS At the within-group level, both groups showed greater right amygdala activation to outgroup faces. Between groups, the black ethnicity group showed greater right amygdala activation to white faces, compared to the white ethnicity group. Within the black ethnicity group, individuals living in areas of lower own group ethnic density showed greater right amygdala reactivity to white faces (r = -0.61, p = 0.01). CONCLUSIONS This is the first time an increased amygdala response to white faces has been demonstrated in individuals of black ethnicity. In the black ethnicity group, correlations were observed between amygdala response and neighbourhood variables associated with increased psychosis risk. These results may have relevance for our understanding of the increased rates of paranoia and psychotic disorders in ethnic minority individuals.
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Affiliation(s)
- Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK
- Psychiatric Imaging Group, Robert Steiner MR Unit, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK
- Faculty of Medicine, Psychiatric Imaging Group, Institute of Clinical Sciences, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Michael A. P. Bloomfield
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK
- Psychiatric Imaging Group, Robert Steiner MR Unit, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK
- Faculty of Medicine, Psychiatric Imaging Group, Institute of Clinical Sciences, Imperial College London, Du Cane Road, London W12 0NN, UK
- 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
| | - Tarik Dahoun
- Psychiatric Imaging Group, Robert Steiner MR Unit, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK
- Faculty of Medicine, Psychiatric Imaging Group, Institute of Clinical Sciences, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Marina Quinlan
- Psychiatric Imaging Group, Robert Steiner MR Unit, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK
| | - Sylvia Terbeck
- School of Psychology, Plymouth University, Drake Circus, Plymouth PL48AA, UK
| | - Mitul Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, De Crespigny Park, London SE5 8AF, UK
- Psychiatric Imaging Group, Robert Steiner MR Unit, MRC London Institute of Medical Sciences, Hammersmith Hospital, London W12 0NN, UK
- Faculty of Medicine, Psychiatric Imaging Group, Institute of Clinical Sciences, Imperial College London, Du Cane Road, London W12 0NN, UK
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Affiliation(s)
- Matthew M Nour
- Psychiatric Imaging, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King’s College London, PO63 Level 5, 16 De Crespigny Park, London, SE5 8AF, UK, Tel: +44 20 7848 0355, E-mail:
| | - Robert McCutcheon
- Psychiatric Imaging, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
| | - Oliver D Howes
- Psychiatric Imaging, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital Campus, London, UK
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McCutcheon R, Beck K, D'Ambrosio E, Donocik J, Gobjila C, Jauhar S, Kaar S, Pillinger T, Reis Marques T, Rogdaki M, Howes OD. Antipsychotic plasma levels in the assessment of poor treatment response in schizophrenia. Acta Psychiatr Scand 2018; 137:39-46. [PMID: 29072776 PMCID: PMC5734612 DOI: 10.1111/acps.12825] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/28/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Treatment resistance is a challenge for the management of schizophrenia. It is not always clear whether inadequate response is secondary to medication ineffectiveness, as opposed to medication underexposure due to non-adherence or pharmacokinetic factors. We investigated the prevalence of subtherapeutic antipsychotic plasma levels in patients identified as treatment-resistant by their treating clinician. METHOD Between January 2012 and April 2017, antipsychotic plasma levels were measured in 99 individuals provisionally diagnosed with treatment-resistant schizophrenia by their treating clinicians, but not prescribed clozapine. Patients were followed up to determine whether they were subsequently admitted to hospital. RESULTS Thirty-five per cent of plasma levels were subtherapeutic, and of these, 34% were undetectable. Black ethnicity (P = 0.006) and lower dose (P < 0.001) were significantly associated with subtherapeutic/undetectable plasma levels. Individuals with subtherapeutic/undetectable levels were significantly more likely to be admitted to hospital (P = 0.02). CONCLUSION A significant proportion of patients considered treatment-resistant have subtherapeutic antipsychotic plasma levels, and this is associated with subsequent admission. The presence of subtherapeutic plasma levels may suggest a need to address adherence or pharmacokinetic factors as opposed to commencing clozapine treatment. While antipsychotic levels are not recommended for the routine adjustment of dosing, they may assist with the assessment of potential treatment resistance in schizophrenia.
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Affiliation(s)
- R. McCutcheon
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - K. Beck
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
| | - E. D'Ambrosio
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - J. Donocik
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - C. Gobjila
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - S. Jauhar
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - S. Kaar
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - T. Pillinger
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - T. Reis Marques
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - M. Rogdaki
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
| | - O. D. Howes
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC London Institute of Medical SciencesHammersmith HospitalLondonUK
- Faculty of MedicineInstitute of Clinical SciencesImperial College LondonLondonUK
- South London and Maudsley NHS Foundation TrustLondonUK
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Howes OD, McCutcheon R. Inflammation and the neural diathesis-stress hypothesis of schizophrenia: a reconceptualization. Transl Psychiatry 2017; 7:e1024. [PMID: 28170004 PMCID: PMC5438023 DOI: 10.1038/tp.2016.278] [Citation(s) in RCA: 168] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 11/27/2016] [Indexed: 12/12/2022] Open
Abstract
An interaction between external stressors and intrinsic vulnerability is one of the longest standing pathoaetiological explanations for schizophrenia. However, novel lines of evidence from genetics, preclinical studies, epidemiology and imaging have shed new light on the mechanisms that may underlie this, implicating microglia as a key potential mediator. Microglia are the primary immune cells of the central nervous system. They have a central role in the inflammatory response, and are also involved in synaptic pruning and neuronal remodeling. In addition to immune and traumatic stimuli, microglial activation occurs in response to psychosocial stress. Activation of microglia perinatally may make them vulnerable to subsequent overactivation by stressors experienced in later life. Recent advances in genetics have shown that variations in the complement system are associated with schizophrenia, and this system has been shown to regulate microglial synaptic pruning. This suggests a mechanism via which genetic and environmental influences may act synergistically and lead to pathological microglial activation. Microglial overactivation may lead to excessive synaptic pruning and loss of cortical gray matter. Microglial mediated damage to stress-sensitive regions such as the prefrontal cortex and hippocampus may lead directly to cognitive and negative symptoms, and account for a number of the structural brain changes associated with the disorder. Loss of cortical control may also lead to disinhibition of subcortical dopamine-thereby leading to positive psychotic symptoms. We review the preclinical and in vivo evidence for this model and consider the implications this has for treatment, and future directions.
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Affiliation(s)
- O D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK,PET Imaging Group, MRC Clinical Sciences Centre, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK. E-mail:
| | - R McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
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Howes OD, McCutcheon R, Owen MJ, Murray RM. The Role of Genes, Stress, and Dopamine in the Development of Schizophrenia. Biol Psychiatry 2017; 81:9-20. [PMID: 27720198 PMCID: PMC5675052 DOI: 10.1016/j.biopsych.2016.07.014] [Citation(s) in RCA: 318] [Impact Index Per Article: 45.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 07/08/2016] [Accepted: 07/10/2016] [Indexed: 02/06/2023]
Abstract
The dopamine hypothesis is the longest standing pathoetiologic theory of schizophrenia. Because it was initially based on indirect evidence and findings in patients with established schizophrenia, it was unclear what role dopamine played in the onset of the disorder. However, recent studies in people at risk of schizophrenia have found elevated striatal dopamine synthesis capacity and increased dopamine release to stress. Furthermore, striatal dopamine changes have been linked to altered cortical function during cognitive tasks, in line with preclinical evidence that a circuit involving cortical projections to the striatum and midbrain may underlie the striatal dopamine changes. Other studies have shown that a number of environmental risk factors for schizophrenia, such as social isolation and childhood trauma, also affect presynaptic dopaminergic function. Advances in preclinical work and genetics have begun to unravel the molecular architecture linking dopamine, psychosis, and psychosocial stress. Included among the many genes associated with risk of schizophrenia are the gene encoding the dopamine D2 receptor and those involved in the upstream regulation of dopaminergic synthesis, through glutamatergic and gamma-aminobutyric acidergic pathways. A number of these pathways are also linked to the stress response. We review these new lines of evidence and present a model of how genes and environmental factors may sensitize the dopamine system so that it is vulnerable to acute stress, leading to progressive dysregulation and the onset of psychosis. Finally, we consider the implications for rational drug development, in particular regionally selective dopaminergic modulation, and the potential of genetic factors to stratify patients.
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Affiliation(s)
- Oliver D Howes
- Psychosis Studies, King's College London, London, United Kingdom; MRC Clinical Sciences Centre, Imperial College Hammersmith Hospital, London, United Kingdom.
| | - Robert McCutcheon
- Psychosis Studies, King's College London, London, United Kingdom; MRC Clinical Sciences Centre, Imperial College Hammersmith Hospital, London, United Kingdom
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, and Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, Wales, United Kingdom
| | - Robin M Murray
- Psychosis Studies, King's College London, London, United Kingdom
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26
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Rogdaki M, Jauhar S, McCutcheon R, Howes O. Treatment-Resistant Schizophrenia in a Patient With 17q12 Duplication. Biol Psychiatry 2016; 80:e19-e20. [PMID: 26582588 DOI: 10.1016/j.biopsych.2015.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 09/30/2015] [Accepted: 10/01/2015] [Indexed: 11/26/2022]
Affiliation(s)
- Maria Rogdaki
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College.
| | - Sameer Jauhar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College; Psychiatric Imaging, MRC Clinical Sciences Centre, Hammersmith Hospital, London, United Kingdom
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Mouchlianitis E, McCutcheon R, Howes OD. Brain-imaging studies of treatment-resistant schizophrenia: a systematic review. Lancet Psychiatry 2016; 3:451-63. [PMID: 26948188 PMCID: PMC5796640 DOI: 10.1016/s2215-0366(15)00540-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 11/22/2015] [Accepted: 11/23/2015] [Indexed: 02/05/2023]
Abstract
Around 30% of patients with schizophrenia show an inadequate response to antipsychotics-ie, treatment resistance. Neuroimaging studies can help to uncover the underlying neurobiological reasons for such resistance and identify these patients earlier. Additionally, studies examining the effect of clozapine on the brain can help to identify aspects of clozapine that make it uniquely effective in patients with treatment resistance. We did a systematic search of PubMed between Jan 1, 1980, and April 13, 2015, to identify all neuroimaging studies that examined treatment-resistant patients or longitudinally assessed the effects of clozapine treatment. We identified 330 articles, of which 61 met the inclusion criteria. Replicated differences between treatment-resistant and treatment-responsive patients include reductions in grey matter and perfusion of frontotemporal regions, and increases in white matter and basal ganglia perfusion, with effect sizes ranging from 0·4 to greater than 1. Clozapine treatment led to reductions in caudate nucleus volume in three separate studies. The available evidence supports the hypothesis that some of the neurobiological changes seen in treatment-resistant schizophrenia lie along a continuum with treatment-responsive schizophrenia, whereas other differences are categorical in nature and have potential to be used as biomarkers. However, further replication is needed, and for neuroimaging findings to be clinically translatable, future studies need to focus on a-priori hypotheses and be adequately powered.
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Affiliation(s)
- Elias Mouchlianitis
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK; Psychiatric Imaging Group, Medical Research Council Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, London, UK.
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK; Psychiatric Imaging Group, Medical Research Council Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, London, UK
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McCutcheon R, Beck K, Bloomfield MA, Marques TR, Rogdaki M, Howes OD. Treatment resistant or resistant to treatment? Antipsychotic plasma levels in patients with poorly controlled psychotic symptoms. J Psychopharmacol 2015; 29:892-7. [PMID: 25788157 PMCID: PMC4902121 DOI: 10.1177/0269881115576688] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A large proportion of individuals with schizophrenia show an inadequate response to treatment with antipsychotics. It can be unclear whether this is secondary to subtherapeutic antipsychotic plasma levels or to medication ineffectiveness. The purpose of the present study was to determine the extent of subtherapeutic antipsychotic plasma levels in a group of patients clinically identified as treatment-resistant. In addition we investigated the frequency of antipsychotic plasma level monitoring in standard clinical practice. Antipsychotic plasma levels were measured in 36 patients identified as having treatment-resistant schizophrenia by their treating clinicians. Sixteen (44%) patients showed either undetectable (19%) or subtherapeutic levels (25%), and 20 (56%) patients had levels in the therapeutic range. Subtherapeutic plasma levels were significantly associated with black ethnicity, shorter duration of current treatment and antipsychotics other than olanzapine and amisulpride. Antipsychotic plasma levels had been measured in only one patient in the year prior to our study. We found over one-third of patients identified as treatment-resistant have subtherapeutic antipsychotic levels. This indicates that they may be under-treated rather than treatment-resistant, and thus should receive different management. Currently the measurement of antipsychotic levels may be under-utilised.
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Affiliation(s)
- Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, UK
| | - Michael A.P. Bloomfield
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, UK,Psychiatric Imaging Group, MRC Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, UK
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, UK
| | - Maria Rogdaki
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, UK
| | - Oliver D. Howes
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, UK,Psychiatric Imaging Group, MRC Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, UK
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Terbeck S, Kahane G, McTavish S, McCutcheon R, Hewstone M, Savulescu J, Chesterman LP, Cowen PJ, Norbury R. β-Adrenoceptor blockade modulates fusiform gyrus activity to black versus white faces. Psychopharmacology (Berl) 2015; 232:2951-8. [PMID: 25899791 PMCID: PMC4513220 DOI: 10.1007/s00213-015-3929-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 03/30/2015] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The beta-adrenoceptor antagonist propranolol is known to reduce peripheral and central activity of noradrenaline. A recent study found that intervention with propranolol diminished negative implicit racial bias. MATERIALS AND METHOD The current study used functional magnetic resonance imaging (fMRI) in order to determine the neural correlates of this effect. Healthy volunteers (N = 40) of white ethnic origin received a single oral dose (40 mg) of propranolol, in a randomised, double-blind, parallel group, placebo-controlled design, before viewing unfamiliar faces of same and other race. RESULTS AND DISCUSSION We found significantly reduced activity in the fusiform gyrus and thalamus following propranolol to out-group faces only. Additionally, propranolol lowered the implicit attitude score, without affecting explicit prejudice measure. CONCLUSION These findings suggest that noradrenaline pathways might modulate racial bias by acting on the processing of categorisation in the fusiform gyrus.
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Affiliation(s)
- S. Terbeck
- Department of Psychology, University of Plymouth, Drake Circus, Plymouth, PL48AA UK
| | - G. Kahane
- Oxford Centre for Neuroethics, University of Oxford, Littlegate House, St Ebbes St, Oxford, OX1 1PT UK
| | - S. McTavish
- Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX UK
| | - R. McCutcheon
- Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX UK
| | - M. Hewstone
- Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 2UD UK
| | - J. Savulescu
- Oxford Centre for Neuroethics, University of Oxford, Littlegate House, St Ebbes St, Oxford, OX1 1PT UK
| | - L. P. Chesterman
- The Ansel Clinic Nottingham, Clifton Lane Clifton, Nottingham, NG11 8NB UK
| | - P. J. Cowen
- Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX UK
| | - R. Norbury
- Department of Psychology, University of Roehampton, London, SW15 4JD UK
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Affiliation(s)
- Robert McCutcheon
- Lambeth Mental Health in Learning Difficulties, Clinical Treatment Centre (CTC), Maudsley Hospital, Denmark Hill, London, SE5 8AZ.
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Beck K, McCutcheon R, Bloomfield MAP, Gaughran F, Reis Marques T, MacCabe J, Selvaraj S, Taylor D, Howes OD. The practical management of refractory schizophrenia--the Maudsley Treatment REview and Assessment Team service approach. Acta Psychiatr Scand 2014; 130:427-38. [PMID: 25201058 DOI: 10.1111/acps.12327] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2014] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To describe a practical approach to the community management of treatment-resistant schizophrenia (TRS). METHOD A descriptive review of an approach to the assessment and management of patients with TRS, including the community titration of clozapine treatment, and a report of the management recommendations for the first one hundred patients assessed by the Treatment REview and Assessment Team (TREAT). RESULTS The standardized model for the community assessment, management and titration of clozapine is described. To date, 137 patients have been referred to this service and 100 patients (72%) attended for assessment. Of these, 33 have been initiated on clozapine while fifteen have had clozapine recommended but have not wished to undertake clozapine treatment. Other management options recommended have included augmentation strategies and long-acting injectable antipsychotics. CONCLUSION The service had increased the number of patients receiving community assessment and initiation of clozapine by five-fold relative to the rate prior to the establishment of the service. The large number of referrals and high attendance rate indicates that there is clinical demand for the model. Systematic evaluation is required to determine the clinical and cost-effectiveness of this model and its potential application to other clinical settings.
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Affiliation(s)
- K Beck
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
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Abstract
Chewing and spitting out food is thought to be a common symptom among people with eating disorders but it has largely been neglected in recent research and diagnostic criteria. We present two cases where chewing and spitting out food was prominent. In each case the symptom differed in its presentation and in the function it served for the patient.
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Affiliation(s)
- R McCutcheon
- Liverpool Drug Dependency Clinic, United Kingdom
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Pozos RS, Israel D, McCutcheon R, Wittmers LE, Sessler D. Human studies concerning thermal-induced shivering, postoperative "shivering," and cold-induced vasodilation. Ann Emerg Med 1987; 16:1037-41. [PMID: 3631668 DOI: 10.1016/s0196-0644(87)80756-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Human reaction to cold stress and hypothermia involves shivering. Another form of overt shaking, postoperative shivering, has been attributed as a thermoregulatory response to postoperative hypothermia. Analysis of the normal human shivering pattern showed a synchronized, slow amplitude modulation (six to eight cycles/min) over all muscles sampled. In addition, there was a frequency of 8 to 10 Hz associated with each low-frequency amplitude modulation. EMG signals from postoperative patients revealed none of the major patterns seen in thermal-induced shivering. Cold-induced vasodilation also was studied and found to occur simultaneously in all cold-stressed fingers regardless of size or innervation. Thermal shivering and cold-induced vasodilation are considered to be manifestations of central neural oscillators.
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McCutcheon R. Eliminating gas pollution in the O.R. Dimens Health Serv 1980; 57:11-2. [PMID: 7429039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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