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Beasant L, Realpe A, Douglas S, Kenny L, Rai D, Mills N. Autistic adults' views on the design and processes within randomised controlled trials: The APRiCoT study. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:1540-1550. [PMID: 37882480 PMCID: PMC11134970 DOI: 10.1177/13623613231202432] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
LAY ABSTRACT Large randomised controlled trials are used to test healthcare treatments. Yet there are no large randomised controlled trials on effective treatments for common mental health issues affecting autistic adults. The purpose of this study was to learn what autistic adults think about randomised controlled trials in preparation for a randomised controlled trial testing a medication for anxiety. This means we wanted to know their opinions about the way randomised controlled trials are done, such as how people are chosen to be in the study and how the study is carried out. We did this by talking to 49 autistic adults individually and asking them questions. We found that most of the people we talked to were okay with the way randomised controlled trials are done. They thought it was fair and they liked that it was based on evidence. However, some autistic people might find it hard to take part in randomised controlled trials. Some people did not like the uncertainty of not knowing what treatment they would receive in a randomised controlled trial. Others felt too vulnerable and may have had bad experiences with healthcare in the past. We found that it is important to involve autistic people early on and at every stage when designing a clinical trial. Care about how clear and precise the study communication is will build trust and improve access to research. Our study indicates that it is possible to conduct large randomised controlled trials with and for autistic people. This can ultimately contribute to the improvement of healthcare outcomes for this population.
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Affiliation(s)
| | - Alba Realpe
- University of Bristol, UK
- Bristol NIHR Biomedical Research Centre, UK
| | | | | | - Dheeraj Rai
- University of Bristol, UK
- Bristol NIHR Biomedical Research Centre, UK
- Avon and Wiltshire Mental Health Partnership NHS Trust, UK
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Cleverley K, Foussias G, Ameis SH, Courtney DB, Goldstein BI, Hawke LD, Kozloff N, Quilty LC, Rotenberg M, Wheeler AL, Andrade BF, Aitken M, Mahleka D, Jani M, Frayne M, Wong JKY, Kelly R, Dickie EW, Felsky D, Haltigan JD, Lai MC, Nikolova YS, Tempelaar W, Wang W, Battaglia M, Husain MO, Kidd S, Kurdyak P, Levitan RD, Lewis SP, Polillo A, Szatmari P, van der Miesen AIR, Ahmadzadasl M, Voineskos AN. The Toronto Adolescent and Youth Cohort Study: Study Design and Early Data Related to Psychosis Spectrum Symptoms, Functioning, and Suicidality. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:253-264. [PMID: 37979943 DOI: 10.1016/j.bpsc.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Psychosis spectrum symptoms (PSSs) occur in a sizable percentage of youth and are associated with poorer cognitive performance, poorer functioning, and suicidality (i.e., suicidal thoughts and behaviors). PSSs may occur more frequently in youths already experiencing another mental illness, but the antecedents are not well known. The Toronto Adolescent and Youth (TAY) Cohort Study aims to characterize developmental trajectories in youths with mental illness and understand associations with PSSs, functioning, and suicidality. METHODS The TAY Cohort Study is a longitudinal cohort study that aims to assess 1500 youths (age 11-24 years) presenting to tertiary care. In this article, we describe the extensive diagnostic and clinical characterization of psychopathology, substance use, functioning, suicidality, and health service utilization in these youths, with follow-up every 6 months over 5 years, including early baseline data. RESULTS A total of 417 participants were enrolled between May 4, 2021, and February 2, 2023. Participants met diagnostic criteria for an average of 3.5 psychiatric diagnoses, most frequently anxiety and depressive disorders. Forty-nine percent of participants met a pre-established threshold for PSSs and exhibited higher rates of functional impairment, internalizing and externalizing symptoms, and suicidality than participants without PSSs. CONCLUSIONS Initial findings from the TAY Cohort Study demonstrate the feasibility of extensive clinical phenotyping in youths who are seeking help for mental health problems. PSS prevalence is much higher than in community-based studies. Our early data support the critical need to better understand longitudinal trajectories of clinical youth cohorts in relation to psychosis risk, functioning, and suicidality.
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Affiliation(s)
- Kristin Cleverley
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - George Foussias
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Darren B Courtney
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lisa D Hawke
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Nicole Kozloff
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lena C Quilty
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Martin Rotenberg
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anne L Wheeler
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Neurosciences and Mental Health Program, Toronto, Ontario, Canada
| | - Brendan F Andrade
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Madison Aitken
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Don Mahleka
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Melanie Jani
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Margot Frayne
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jimmy K Y Wong
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Rachel Kelly
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Felsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John D Haltigan
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Meng-Chuan Lai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; National Taiwan University Hospital and College of Medicine, Taiwan
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Wanda Tempelaar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Wei Wang
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Marco Battaglia
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Muhammad Omair Husain
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sean Kidd
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Paul Kurdyak
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Robert D Levitan
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephen P Lewis
- Department of Psychology, University of Guelph, Guelph, Ontario, Canada
| | - Alexia Polillo
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Peter Szatmari
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Neurosciences and Mental Health Program, Toronto, Ontario, Canada
| | - Anna I R van der Miesen
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Masoud Ahmadzadasl
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Aristotle N Voineskos
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
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Keenan EG, Gurba AN, Mahaffey B, Kappenberg CF, Lerner MD. Leveling Up Dialectical Behavior Therapy for Autistic Individuals with Emotion Dysregulation: Clinical and Personal Insights. AUTISM IN ADULTHOOD 2024; 6:1-8. [PMID: 38435330 PMCID: PMC10902278 DOI: 10.1089/aut.2022.0011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Autistic people may experience high emotion and sensory sensitivities and a slow return to baseline emotional state. Dialectical behavior therapy (DBT) was developed to address reactivity, impulsivity, and mood dysregulation in individuals with mood and personality disorders. DBT may be therapeutically beneficial to autistic individuals struggling with these or similar emotional and sensory challenges. This article is a synthesis of the first author's experiences of DBT as an autistic person and professional insights from all authors. We provide an overview of the development of DBT, its foundational components, and adaptations. Using this basis, the first author describes the benefits DBT has had, the modifications that have helped him, and how those modifications may enhance DBT for autistic people. Modifications include visuals, graphics, and a gaming format that target the client's personal interests. The essence of these alterations is to transform life skills and DBT skills into something meaningful and functional. Receptivity of the therapist to the modifications and neurodivergent problem solving may be foundational to therapeutic success. Client-initiated contributions in collaborative therapy may improve autistic participants' understanding, validation, and adherence with DBT. The authors suggest expanding work on DBT modifications for autism in the areas of daily self-monitoring, assessing for preferred visual and gaming formats, and utilizing personal interests.
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Affiliation(s)
| | - Ava N. Gurba
- Stony Brook University, Stony Brook, New York, USA
| | | | - Catherine Faith Kappenberg
- University of California, Los Angeles, Los Angeles, California, USA
- Stony Brook University, Stony Brook, New York, USA
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Harris CP, Jones B, Walker K, Berry MS. Case report: Adult with bipolar disorder and autism treated with ketamine assisted psychotherapy. Front Psychiatry 2024; 15:1322679. [PMID: 38445088 PMCID: PMC10913061 DOI: 10.3389/fpsyt.2024.1322679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/02/2024] [Indexed: 03/07/2024] Open
Abstract
Background Evidence has increased in recent years regarding the potential for ketamine to serve as a novel treatment option for a range of conditions, particularly depression (unipolar and bipolar). However, research regarding ketamine as a potential therapeutic for Autism Spectrum Disorder (ASD) is lacking, despite high overlap with bipolar depression and theoretical foundations for its use. Case presentation A 29-year-old man with bipolar disorder and Autism Spectrum Disorder, type 2 diabetes, presented with mood swings and suicidal thoughts, and anger outbursts occurring daily. The patient was referred by a psychiatrist due to irritability and outbursts during the previous 5 months. These outbursts were unable to be controlled by the medications prescribed, included yelling and screaming, and the patient was unable to speak with the psychiatrist. The patient underwent ketamine assisted psychotherapy with 6 initial IV infusions of ketamine over a 1 month period followed by 2 booster IV ketamine infusions. Following ketamine treatment, dramatic reductions in outbursts were observed as well as reductions in anxiety, suicidality, and depression scores. Conclusion This case study adds to the scant literature regarding ketamine treatment for individuals with bipolar disorder and ASD. We did not find ASD to be a contraindication for IV ketamine and ketamine assisted psychotherapy. Reductions in anger outbursts, anxiety, suicidality, and depression suggest ketamine treatment might be tailored to individuals with bipolar disorder and ASD, and additional systematized research is warranted. Although potential mechanisms of action are not clear, these data add to the discussion regarding clinical practice considerations and the potential for ketamine to improve quality of life and associated metrics.
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Affiliation(s)
| | - Becky Jones
- Revitalist Lifestyle and Wellness Ltd., Knoxville, TN, United States
| | - Kathryn Walker
- Revitalist Lifestyle and Wellness Ltd., Knoxville, TN, United States
| | - Meredith S. Berry
- Department of Health Education and Behavior, University of Florida, Gainesville, FL, United States
- Department of Psychology, University of Florida, Gainesville, FL, United States
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Jeon SM, Lee DY, Cha S, Kwon JW. Psychiatric Comorbidities and Schizophrenia in Youths With Attention-Deficit/Hyperactivity Disorder. JAMA Netw Open 2023; 6:e2345793. [PMID: 38032637 PMCID: PMC10690465 DOI: 10.1001/jamanetworkopen.2023.45793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Importance The association between attention-deficit/hyperactivity disorder (ADHD) and schizophrenia has received increased attention; however, evidence on the association between psychiatric comorbidities and subsequent schizophrenia in patients with ADHD is limited. Objective To investigate the risk of being diagnosed with schizophrenia in children and adolescents with ADHD considering the presence of psychiatric comorbidity. Design, Setting, and Participants This was a population-based, retrospective cohort study using the Health Insurance Review and Assessment claims database from January 1, 2007, to December 31, 2019. Participants were children and adolescents aged 5 to 19 years who received an ADHD diagnosis between January 1, 2010, and December 31, 2018, in the nationwide claims data of Korea. Data were analyzed from January 2010 to December 2019. Interventions or Exposures The presence of psychiatric comorbidity was assessed from diagnosis records within 1 year before ADHD diagnosis. Comorbidities were further categorized according to the number of comorbidities and specific comorbid disorders. Main Outcomes and Measures Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs, examining the association between psychiatric comorbidities and the risk of being diagnosed with schizophrenia. Furthermore, the occurrence of psychiatric comorbidity during the follow-up period was explored among patients without psychiatric comorbidity at baseline. Results A total of 211 705 patients with newly diagnosed ADHD were included. A total of 157 272 patients (74.3%) were male, and the age of 5 to 9 years showed the highest distribution (115 081 patients [54.4%]). Patients with psychiatric comorbidity had a significantly higher risk of being diagnosed with schizophrenia than those without (adjusted HR, 2.14; 95% CI, 2.05-2.23). The association between schizophrenia and psychiatric comorbidity became progressively greater with the increasing number of comorbidities. Several individual psychiatric disorders showed an association with development of schizophrenia, with ASD, intellectual disability, tic disorder, depression, and bipolar disorder being the top 5 disorders most associated. Furthermore, 3244 patients (73.8%) without psychiatric comorbidities experienced the emergence of other psychiatric disorders before schizophrenia occurrence. Conclusions and Relevance In this retrospective cohort study involving children and adolescents with ADHD, the presence of psychiatric comorbidity in patients with ADHD was associated with an increased risk of being diagnosed with schizophrenia, with an increased risk observed in multiple comorbidities and a wide variety of comorbidities. These findings highlight the significance of assessing and managing psychiatric comorbidities in patients with ADHD to decrease subsequent schizophrenia risk and allow for early intervention.
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Affiliation(s)
- Soo Min Jeon
- College of Pharmacy, Jeju National University, Jeju, South Korea
| | - Dong Yun Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - SangHun Cha
- Department of Statistics, College of Natural Sciences, Kyungpook National University, Daegu, South Korea
| | - Jin-Won Kwon
- BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, South Korea
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Bortoletto R, Bassani L, Garzitto M, Lamberti M, Simonati A, Darra F, Bhattacharyya S, Comacchio C, Balestrieri M, Arcangeli D, Colizzi M. Risk of psychosis in autism spectrum disorder individuals exposed to psychosocial stressors: A 9-year chart review study. Autism Res 2023; 16:2139-2149. [PMID: 37929657 DOI: 10.1002/aur.3042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
Psychosocial stressors have been suggested to precipitate psychotic episodes in patients with pre-existing psychosis and otherwise healthy subjects. However, such a risk has never been formally investigated in individuals with autism spectrum disorder (ASD). Sixty-nine autistic adolescents hospitalized for psychotic/manic symptoms (PSY) and other mental health issues (NPSY) over a 9-year period were compared with reference to their previous exposure to psychosocial stressors. ASD diagnoses satisfied the International Classification of Diseases (ICD)-10 criteria. Psychotic/manic symptom assessment followed the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS). Psychosocial stressor exposure was collected separately at each admission. Preliminarily, univariate between-group comparisons were conducted. Then, a binomial model was adopted to investigate associations with previous exposure to psychosocial stressors. Results were reported with a change in AIC (ΔAIC). PSY patients presented with higher previous exposure to adverse life events (30.43% vs. 6.52%, OR = 6.079 [1.209, 40.926], p = 0.013) and school/work difficulties (30.43% vs. 8.70%, OR = 4.478 [0.984, 23.846], p = 0.034) than NPSY ones. Admissions for psychotic/manic symptoms occurred more likely in the context of family disturbances (OR = 2.275 [1.045, 5.045], p = 0.030) and adverse life events (OR = 3.489 [1.194, 11.161], p = 0.014). The fitted binomial model was found to be significant compared to the random effects model (ΔAIC = -1.962; χ2 10 = 21.96, p = 0.015), with the risk of presenting psychotic/manic symptoms being increased by family disturbances (z = +4.118) and school/work difficulties (z = +2.455). The results suggest a potential psychosis-inducing effect of psychosocial stressors in ASD, which has clinical and policy implications.
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Affiliation(s)
- Riccardo Bortoletto
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Lorenzo Bassani
- Department of Child and Adolescent Psychiatry, Hospital of Merano (SABES-ASDAA), Teaching Hospital of the Paracelsus Medizinischen Privatuniversität (PMU), Merano-Meran, Italy
| | - Marco Garzitto
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Marco Lamberti
- Department of Child and Adolescent Psychiatry, Hospital of Merano (SABES-ASDAA), Teaching Hospital of the Paracelsus Medizinischen Privatuniversität (PMU), Merano-Meran, Italy
| | - Alessandro Simonati
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
| | - Francesca Darra
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Carla Comacchio
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Donatella Arcangeli
- Department of Child and Adolescent Psychiatry, Hospital of Merano (SABES-ASDAA), Teaching Hospital of the Paracelsus Medizinischen Privatuniversität (PMU), Merano-Meran, Italy
| | - Marco Colizzi
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Underwood JFG, DelPozo-Banos M, Frizzati A, Rai D, John A, Hall J. Neurological and psychiatric disorders among autistic adults: a population healthcare record study. Psychol Med 2023; 53:5663-5673. [PMID: 36189783 PMCID: PMC10482712 DOI: 10.1017/s0033291722002884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 07/29/2022] [Accepted: 08/22/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Co-occurring psychiatric disorders are common in autism, with previous studies suggesting 54-94% of autistic individuals develop a mental health condition in their lifetime. Most studies have looked at clinically-recruited cohorts, or paediatric cohorts followed into adulthood, with less known about the autistic community at a population level. We therefore studied the prevalence of co-occurring psychiatric and neurological conditions in autistic individuals in a national sample. METHODS This retrospective case-control study utilised the SAIL Databank to examine anonymised whole population electronic health record data from 2001 to 2016 in Wales, UK (N = 3.6 million). We investigated the prevalence of co-occurring psychiatric and selected neurological diagnoses in autistic adults' records during the study period using International Classification of Diseases-10 and Read v2 clinical codes compared to general population controls matched for age, sex and deprivation. RESULTS All psychiatric conditions examined were more common amongst adults with autism after adjusting for age, sex and deprivation. Prevalence of attention-deficit hyperactivity disorder (7.00%), bipolar disorder (2.50%), obsessive-compulsive disorder (3.02%), psychosis (18.30%) and schizophrenia (5.20%) were markedly elevated in those with autism, with corresponding odds ratios 8.24-10.74 times the general population. Depression (25.90%) and anxiety (22.40%) were also more prevalent, with epilepsy 9.21 times more common in autism. CONCLUSIONS We found that a range of psychiatric conditions were more frequently recorded in autistic individuals. We add to understanding of under-reporting and diagnostic overshadowing in autism. With increasing awareness of autism, services should be cognisant of the psychiatric conditions that frequently co-occur in this population.
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Affiliation(s)
- Jack F. G. Underwood
- Division of Psychological Medicine and Clinical Neurosciences, Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | | | - Aura Frizzati
- Cedar Healthcare Technology Research Centre, Cardiff & Vale University Health Board, Cardiff, UK
| | - Dheeraj Rai
- Bristol Medical School, Bristol Population Health Science Institute, Bristol, UK
| | - Ann John
- Population Data Science, Medical School, Swansea University, Swansea, UK
| | - Jeremy Hall
- Division of Psychological Medicine and Clinical Neurosciences, Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
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Mutiso VN, Ndetei DM, Muia EN, Masake M, Alietsi RK, Onsinyo L, Musyimi C, Mamah D. Risk of autism spectrum disorder and association of its symptoms with psychiatric and substance use disorders in non-clinical student sample in Kenya: cross-sectional study. BJPsych Open 2023; 9:e160. [PMID: 37605834 PMCID: PMC10486240 DOI: 10.1192/bjo.2023.503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 01/12/2023] [Accepted: 01/20/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND The prevalence and patterns of autism spectrum disorder (ASD) symptoms/traits and the associations of ASD with psychiatric and substance use disorders has not been documented in non-clinical students in Sub-Saharan Africa, and Kenya in particular. AIMS To document the risk level of ASD and its traits in a Kenyan student population (high school, college and university) using the Autism-Spectrum Quotient (AQ); and to determine the associations between ASD and other psychiatric and substance use disorders. METHOD This was a cross-sectional study among students (n = 9626). We used instruments with sufficient psychometric properties and good discriminative validity to collect data. A cut-off score of ≥32 on the AQ was used to identify those at high risk of ASD. We conducted the following statistical tests: (a) basic descriptive statistics; (b) chi-squared tests and Fisher's exact tests to analyse associations between categorical variables and ASD; (c) independent t-tests to examine two-group comparisons with ASD; (d) one-way analysis of variance to make comparisons between categorical variables with three or more groups and ASD; (e) statistically significant (P < 0.05) variables fitted into an ordinal logistic regression model to identify determinants of ASD; (f) Pearson's correlation and reliability analysis. RESULTS Of the total sample, 54 (0.56%) were at high risk of ASD. Sociodemographic differences were found in the mean scores for the various traits, and statistically significant (P < 0.05) associations we found between ASD and various psychiatric and substance use disorders. CONCLUSIONS Risk of ASD, gender characteristics and associations with psychiatric and substance use disorders are similar in this Kenyan sample to those found in Western settings in non-clinical populations.
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Affiliation(s)
| | - David M. Ndetei
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya; Department of Psychiatry, University of Nairobi, Nairobi, Kenya; and World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya
| | - Esther N. Muia
- Department of Public and Community Health, Machakos University, Machakos, Kenya
| | - Monicah Masake
- Department of Public and Community Health, Machakos University, Machakos, Kenya
| | - Rita K. Alietsi
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Lydia Onsinyo
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Christine Musyimi
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St Louis, Missouri, USA
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Wong OWH, Barzilay R, Lam AMW, Chan S, Calkins ME, Gur RE, Gur RC. Executive function as a generalized determinant of psychopathology and functional outcome in school-aged autism spectrum disorder: a case-control study. Psychol Med 2023; 53:4788-4798. [PMID: 35912846 PMCID: PMC10388326 DOI: 10.1017/s0033291722001787] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/24/2022] [Accepted: 05/26/2022] [Indexed: 01/30/2023]
Abstract
BACKGROUND Individuals with autism spectrum disorder (ASD) are challenged not only by the defining features of social-communication deficits and restricted repetitive behaviors, but also by a myriad of psychopathology varying in severity. Different cognitive deficits underpin these psychopathologies, which could be subjected to intervention to alter the course of the disorder. Understanding domain-specific mediating effects of cognition is essential for developing targeted intervention strategies. However, the high degree of inter-correlation among different cognitive functions hinders elucidation of individual effects. METHODS In the Philadelphia Neurodevelopmental Cohort, 218 individuals with ASD were matched with 872 non-ASD controls on sex, age, race, and socioeconomic status. Participants of this cohort were deeply and broadly phenotyped on neurocognitive abilities and dimensional psychopathology. Using structural equation modeling, inter-correlation among cognitive domains were adjusted before mediation analysis on outcomes of multi-domain psychopathology and functional level. RESULTS While social cognition, complex cognition, and memory each had a unique pattern of mediating effect on psychopathology domains in ASD, none had significant effects on the functional level. In contrast, executive function was the only cognitive domain that exerted a generalized negative impact on every psychopathology domain (p factor, anxious-misery, psychosis, fear, and externalizing), as well as functional level. CONCLUSIONS Executive function has a unique association with the severity of comorbid psychopathology in ASD, and could be a target of interventions. As executive dysfunction occurs variably in ASD, our result also supports the clinical utility of assessing executive function for prognostic purposes.
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Affiliation(s)
- Oscar W. H. Wong
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong
| | - Ran Barzilay
- Neurodevelopment and Psychosis Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Angela M. W. Lam
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong
| | - Sandra Chan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong
| | - Monica E. Calkins
- Neurodevelopment and Psychosis Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Raquel E. Gur
- Neurodevelopment and Psychosis Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Ruben C. Gur
- Neurodevelopment and Psychosis Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
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10
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Dell'Osso L, Carpita B, Nardi B, Benedetti F, Dell'Oste V, Massimetti G, Cremone IM, Barlati S, Castellini G, Luciano M, Bossini L, Rocchetti M, Signorelli MS, Ricca V, Aguglia E, Fagiolini A, Vita A, Politi P, Maj M. Autistic traits distribution in different psychiatric conditions: A cluster analysis on the basis of the Adult Autism Subthreshold Spectrum (AdAS Spectrum) questionnaire. Psychiatry Res 2023; 326:115270. [PMID: 37320989 DOI: 10.1016/j.psychres.2023.115270] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 05/26/2023] [Accepted: 05/28/2023] [Indexed: 06/17/2023]
Abstract
Increasing interest is being paid on full-threshold and sub-threshold autism spectrum conditions among adults. Sub-threshold autistic traits (AT) seem to be distributed in a continuum from the clinical to the general population, being particularly higher among subjects with other psychiatric disorders. The aim of the present study was to evaluate the distribution of AT in a sample of subjects with different psychiatric conditions by means of a cluster analysis on the basis of the score reported to the AdAS Spectrum instrument. A total of 738 subjects recruited by seven Italian Universities were divided in 5 groups depending on the clinical diagnosis: Autism spectrum disorder (ASD), subthreshold ASD symptoms (partial ASD), Bipolar disorder (BD), Feeding and eating disorders (FED), and controls (CTLs). All subjects were assessed with the AdAS Spectrum. The cluster analysis identified 3 clusters: the high, medium and low autism clusters. The Restricted interests and rumination domain reported the highest influence in forming the clusters. The high, medium and low autism clusters were respectively more represented in the ASD, partial ASD and CTL groups. The clusters were represented intermediately in the FED and BD groups, confirming the presence of intermediate levels of AT in these clinical populations.
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Affiliation(s)
- Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Barbara Carpita
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy.
| | - Bendetta Nardi
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Francesca Benedetti
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Valerio Dell'Oste
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Gabriele Massimetti
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Ivan Mirko Cremone
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56127, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Giovanni Castellini
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Mario Luciano
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Letizia Bossini
- Department of Mental Health and Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Matteo Rocchetti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | | | - Valdo Ricca
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Andrea Fagiolini
- Department of Mental Health and Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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11
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Takano C, Kato M, Adachi N, Kubota Y, Azekawa T, Ueda H, Edagawa K, Katsumoto E, Goto E, Hongo S, Miki K, Tsuboi T, Yasui-Furukori N, Nakagawa A, Kikuchi T, Watanabe K, Kinoshita T, Yoshimura R. Clinical characteristics and prescriptions associated with a 2-year course of rapid cycling and euthymia in bipolar disorder: a multicenter treatment survey for bipolar disorder in psychiatric clinics. Front Psychiatry 2023; 14:1183782. [PMID: 37265558 PMCID: PMC10229865 DOI: 10.3389/fpsyt.2023.1183782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 04/26/2023] [Indexed: 06/03/2023] Open
Abstract
Objective In patients with bipolar disorder (BD), rapid cycling (RC) presents a risk for a more severe illness, while euthymia (EUT) has a better prognosis. This study focused on the progression of RC and EUT, which are contrasting phenomenology, and aimed to clarify the influence of patient backgrounds and prescription patterns on these different progressions, using a large sample from the first and second iterations of a multicenter treatment survey for BD in psychiatric clinics (MUSUBI). Methods In the cross-sectional study (MUSUBI), a questionnaire based on a retrospective medical record survey of consecutive BD cases (N = 2,650) was distributed. The first survey was conducted in 2016, and the second one in 2017. The questionnaire collected information on patient backgrounds, current episodes, and clinical and prescribing characteristics. Results In the first survey, 10.6% of the participants had RC and 3.6% had RC for two consecutive years, which correlated with BP I (Bipolar disorder type I), suicidal ideation, duration of illness, and the use of lithium carbonate and antipsychotic medications. Possible risk factors for switching to RC were comorbid developmental disorders and the prescription of anxiolytics and sleep medication. Moreover, 16.4% of the participants presented EUT in the first survey, and 11.0% presented EUT for two consecutive years. Possible factors for achieving EUT included older age; employment; fewer psychotic symptoms and comorbid personality disorders; fewer antidepressants, antipsychotics, and anxiolytics, and more lithium prescriptions. Conclusion RC and EUT generally exhibit conflicting characteristics, and the conflicting social backgrounds and factors contributing to their outcomes were distinctive. Understanding these clinical characteristics may be helpful in clinical practice for management of patients with BD.
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Affiliation(s)
- Chikashi Takano
- Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan
| | - Masaki Kato
- Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
| | - Naoto Adachi
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | - Yukihisa Kubota
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | | | - Hitoshi Ueda
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | - Kouji Edagawa
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | | | - Eiichiro Goto
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | - Seiji Hongo
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | - Kazuhira Miki
- Japanese Association of Neuro-Psychiatric Clinics, Tokyo, Japan
| | - Takashi Tsuboi
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Norio Yasui-Furukori
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Psychiatry, Dokkyo Medical University, Tochigi, Japan
| | - Atsuo Nakagawa
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Toshiaki Kikuchi
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Koichiro Watanabe
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Toshihiko Kinoshita
- Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
| | - Reiji Yoshimura
- Japanese Society of Clinical Neuropsychopharmacology, Tokyo, Japan
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
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12
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Yeh TC, Chen MH, Bai YM, Tsai SJ, Hsu JW, Huang KL, Su TP, Chen TJ, Liang CS. Longitudinal follow-up of subsequent psychiatric comorbidities among children and adolescents with autism spectrum disorder. J Affect Disord 2023; 331:245-250. [PMID: 36965622 DOI: 10.1016/j.jad.2023.03.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/04/2023] [Accepted: 03/16/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND The mental health of children and adolescents with autism spectrum disorder (ASD) is a concern of recent years. However, a large-scale longitudinal study investigating the risk and the time course of subsequent psychiatric comorbidities is still lacking. METHODS Using the Taiwan National Health Insurance Research Database, 13,382 children and adolescents with ASD, and 53,528 age- and sex-matched non-ASD controls were enrolled between 2001 and 2009, and followed to the end of 2011. The adjusted hazard ratio (HR) with a corresponding 95 % confidence interval for psychiatric comorbidities among children and adolescents with ASD vs matched controls was estimated. The subjects who developed schizophrenia, bipolar disorder, depressive disorder, anxiety disorder, and obsessive-compulsive disorder (OCD) were identified during the follow-up. RESULTS Children and adolescents with ASD compared with controls were more likely to be diagnosed with schizophrenia (19.21; 13.74, 26.88), bipolar disorder (17.59; 12.66, 24.44), depressive disorder (5.56; 4.72, 6.56), anxiety disorder (5.01; 4.49, 5.59), and OCD (16.12; 11.66, 22.30) later in life. The time course of subsequent psychiatric comorbidity showed that anxiety disorder occurred first, usually in late childhood, with psychotic and affective disorders proceeding in adolescence. Those with ASD and anxiety disorder had an additionally increased likelihood of developing subsequent psychiatric comorbidity compared with those with ASD only. LIMITATION In claims data analysis, clinical parameters or possible confounders may not be fully captured. CONCLUSION Patients with ASD are predisposed to the development of anxiety disorder in late childhood, as well as schizophrenia, bipolar disorder, depressive disorder, and OCD in adolescence.
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Affiliation(s)
- Ta-Chuan Yeh
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
| | - Ya-Mei Bai
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Kai-Lin Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan; Department of Psychiatry, General Cheng Hsin Hospital, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Family Medicine, Taipei Veterans General Hospital, Hsinchu Branch, Hsinchu, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
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13
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The Autism Spectrum: Behavioral, Psychiatric and Genetic Associations. Genes (Basel) 2023; 14:genes14030677. [PMID: 36980949 PMCID: PMC10048473 DOI: 10.3390/genes14030677] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023] Open
Abstract
Autism spectrum disorder (ASD) consists of a group of heterogeneous genetic neurobehavioral disorders associated with developmental impairments in social communication skills and stereotypic, rigid or repetitive behaviors. We review common behavioral, psychiatric and genetic associations related to ASD. Autism affects about 2% of children with 4:1 male-to-female ratio and a heritability estimate between 70 and 90%. The etiology of ASD involves a complex interplay between inheritance and environmental factors influenced by epigenetics. Over 800 genes and dozens of genetic syndromes are associated with ASD. Novel gene–protein interactions with pathway and molecular function analyses have identified at least three functional pathways including chromatin modeling, Wnt, Notch and other signaling pathways and metabolic disturbances involving neuronal growth and dendritic spine profiles. An estimated 50% of individuals with ASD are diagnosed with chromosome deletions or duplications (e.g., 15q11.2, BP1-BP2, 16p11.2 and 15q13.3), identified syndromes (e.g., Williams, Phelan-McDermid and Shprintzen velocardiofacial) or single gene disorders. Behavioral and psychiatric conditions in autism impacted by genetics influence clinical evaluations, counseling, diagnoses, therapeutic interventions and treatment approaches. Pharmacogenetics testing is now possible to help guide the selection of psychotropic medications to treat challenging behaviors or co-occurring psychiatric conditions commonly seen in ASD. In this review of the autism spectrum disorder, behavioral, psychiatric and genetic observations and associations relevant to the evaluation and treatment of individuals with ASD are discussed.
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14
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Fiksinski AM, Hoftman GD, Vorstman JAS, Bearden CE. A genetics-first approach to understanding autism and schizophrenia spectrum disorders: the 22q11.2 deletion syndrome. Mol Psychiatry 2023; 28:341-353. [PMID: 36192458 PMCID: PMC9812786 DOI: 10.1038/s41380-022-01783-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 08/31/2022] [Accepted: 09/05/2022] [Indexed: 02/03/2023]
Abstract
Recently, increasing numbers of rare pathogenic genetic variants have been identified that are associated with variably elevated risks of a range of neurodevelopmental outcomes, notably including Autism Spectrum Disorders (ASD), Schizophrenia Spectrum Disorders (SSD), and Intellectual Disability (ID). This review is organized along three main questions: First, how can we unify the exclusively descriptive basis of our current psychiatric diagnostic classification system with the recognition of an identifiable, highly penetrant genetic risk factor in an increasing proportion of patients with ASD or SSD? Second, what can be learned from studies of individuals with ASD or SSD who share a common genetic basis? And third, what accounts for the observed variable penetrance and pleiotropy of neuropsychiatric phenotypes in individuals with the same pathogenic variant? In this review, we focus on findings of clinical and preclinical studies of the 22q11.2 deletion syndrome (22q11DS). This particular variant is not only one of the most common among the increasing list of known rare pathogenic variants, but also one that benefits from a relatively long research history. Consequently, 22q11DS is an appealing model as it allows us to: (1) elucidate specific genotype-phenotype associations, (2) prospectively study behaviorally defined classifications, such as ASD or SSD, in the context of a known, well-characterized genetic basis, and (3) elucidate mechanisms underpinning variable penetrance and pleiotropy, phenomena with far-reaching ramifications for research and clinical practice. We discuss how findings from animal and in vitro studies relate to observations in human studies and can help elucidate factors, including genetic, environmental, and stochastic, that impact the expression of neuropsychiatric phenotypes in 22q11DS, and how this may inform mechanisms underlying neurodevelopmental expression in the general population. We conclude with research priorities for the field, which may pave the way for novel therapeutics.
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Affiliation(s)
- Ania M Fiksinski
- Department of Psychology and Department of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Psychiatry and Neuropsychology, Division of Mental Health, MHeNS, Maastricht University, Maastricht, The Netherlands
| | - Gil D Hoftman
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Jacob A S Vorstman
- Program in Genetics and Genome Biology, Research Institute, and Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
- Department of Psychology, University of California, Los Angeles, CA, USA.
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15
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Selten JP. The social defeat hypothesis of schizophrenia is more topical than ever. Reply to Schalbroeck. Psychol Med 2023; 53:290-291. [PMID: 33431105 PMCID: PMC9874983 DOI: 10.1017/s0033291720005176] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 02/04/2023]
Affiliation(s)
- Jean-Paul Selten
- School for Mental Health and Neuroscience, University of Maastricht, Maastricht, The Netherlands
- Rivierduinen Institute for Mental Health Care, Leiden, The Netherlands
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16
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Silva AI, Ehrhart F, Ulfarsson MO, Stefansson H, Stefansson K, Wilkinson LS, Hall J, Linden DEJ. Neuroimaging Findings in Neurodevelopmental Copy Number Variants: Identifying Molecular Pathways to Convergent Phenotypes. Biol Psychiatry 2022; 92:341-361. [PMID: 35659384 DOI: 10.1016/j.biopsych.2022.03.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 12/15/2022]
Abstract
Genomic copy number variants (CNVs) are associated with a high risk of neurodevelopmental disorders. A growing body of genetic studies suggests that these high-risk genetic variants converge in common molecular pathways and that common pathways also exist across clinically distinct disorders, such as schizophrenia and autism spectrum disorder. A key question is how common molecular mechanisms converge into similar clinical outcomes. We review emerging evidence for convergent cognitive and brain phenotypes across distinct CNVs. Multiple CNVs were shown to have similar effects on core sensory, cognitive, and motor traits. Emerging data from multisite neuroimaging studies have provided valuable information on how these CNVs affect brain structure and function. However, most of these studies examined one CNV at a time, making it difficult to fully understand the proportion of shared brain effects. Recent studies have started to combine neuroimaging data from multiple CNV carriers and identified similar brain effects across CNVs. Some early findings also support convergence in CNV animal models. Systems biology, through integration of multilevel data, provides new insights into convergent molecular mechanisms across genetic risk variants (e.g., altered synaptic activity). However, the link between such key molecular mechanisms and convergent psychiatric phenotypes is still unknown. To better understand this link, we need new approaches that integrate human molecular data with neuroimaging, cognitive, and animal model data, while taking into account critical developmental time points. Identifying risk mechanisms across genetic loci can elucidate the pathophysiology of neurodevelopmental disorders and identify new therapeutic targets for cross-disorder applications.
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Affiliation(s)
- Ana I Silva
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
| | - Friederike Ehrhart
- Department of Bioinformatics, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Magnus O Ulfarsson
- deCODE genetics, Amgen, Reykjavik, Iceland; Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | | | | | - Lawrence S Wilkinson
- Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - David E J Linden
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
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17
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Intensive behavioural interventions based on applied behaviour analysis (ABA) for young children with autism: A cost-effectiveness analysis. PLoS One 2022; 17:e0270833. [PMID: 35972929 PMCID: PMC9380934 DOI: 10.1371/journal.pone.0270833] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 06/20/2022] [Indexed: 11/19/2022] Open
Abstract
Background The economic and social costs of autism are significant. This study evaluates the cost-effectiveness of early intensive Applied Behaviour Analysis (ABA)-based interventions for autistic pre-school children in the UK. Methods A de novo economic analysis was developed in Microsoft Excel comparing early intensive ABA-based interventions compared with treatment as usual (TAU). The analysis used 15.5-year time horizon, with costs and benefits discounted a 3.5%. The model structure was based on cohort structure to capture changes in adaptive behaviour and cognitive ability over time. The analysis was informed by an individual patient data (IPD) meta-analysis of available evidence. Results Adopting a public sector perspective, early intensive ABA-based therapies were associated with greater incremental costs and greater benefits. When pessimistic assumptions were made regarding the long-term effects of treatment incremental costs were £46,103 and incremental quality-adjusted life years (QALYs) were 0.24, resulting in an incremental cost-effectiveness ratio (ICER) of £189,122 per quality-adjusted life year (QALY). When optimistic assumptions were made about long-term effects, incremental costs were £39,233 with incremental benefits of 0.84 QALYs. The resulting ICER was £46,768 per QALY. Scenario analyses emphasised the importance of assumptions made regarding adult outcomes and type of school attended, both of which significantly affect the results of the analysis. Conclusions The results of this economic analysis suggest that early intensive ABA-based interventions are unlikely to represent value for money, based on a £20,000 to £30,000 per QALY threshold typically adopted to inform UK healthcare funding decisions. However, important gaps in the available evidence, limit the strength of the conclusions that can be drawn from the presented analysis. Further research, focusing on the trajectory of autistic children following intervention is likely to be highly beneficial to resolving some of these uncertainties.
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18
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Jutla A, Donohue MR, Veenstra-VanderWeele J, Foss-Feig JH. Reported autism diagnosis is associated with psychotic-like symptoms in the Adolescent Brain Cognitive Development cohort. Eur Child Adolesc Psychiatry 2022; 31:1-10. [PMID: 33646417 PMCID: PMC8856839 DOI: 10.1007/s00787-021-01738-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 02/05/2021] [Indexed: 11/25/2022]
Abstract
Although the schizophrenia (SCZ) rate is increased in autism spectrum disorder (ASD), it is difficult to identify which ASD youth will develop psychosis. We explored the relationship between ASD and emerging psychotic-like experiences (PLS) in a sample of 9127 youth aged 9-11 from the Adolescent Brain Cognitive Development (ABCD) cohort. We predicted that parent-reported ASD would be associated with PLS severity, and that ASD youth with PLS (ASD+/PLS+) would differ from ASD youth without PLS (ASD+/PLS-) and youth with PLS but not ASD (ASD-/PLS+) in cognitive function. We fit regression models that included parent-reported ASD, family history of psychosis, lifetime trauma, executive function, processing speed, working memory, age, sex, race, ethnicity, and income-to-needs ratio as predictors of Prodromal Questionnaire-Brief Child (PQ-BC) distress score, a continuous index of PLS severity. We assessed cognitive differences using regression models with ASD/PLS status and relevant covariates as predictors of NIH Toolbox measures. ASD increased raw PQ-BC distress scores by 2.47 points (95% CI 1.33-3.61), an effect at least as large as Black race (1.27 points, 95% CI 0.75-1.78), family history of psychosis (1.05 points, 95% CI 0.56-1.54), and Latinx ethnicity (0.99 points, 95% CI 0.53-1.45. We did not identify differences in cognition for ASD+/PLS+ youth relative to other groups. Our finding of association between ASD and PLS in youth is consistent with previous literature and adds new information in suggesting that ASD may be a strong risk factor for PLS even compared to established SCZ risk factors.
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Affiliation(s)
- Amandeep Jutla
- Department of Psychiatry, Columbia University, New York, NY, USA.
| | - Meghan Rose Donohue
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Jennifer H Foss-Feig
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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19
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Zandi PP, Jaffe AE, Goes FS, Burke EE, Collado-Torres L, Huuki-Myers L, Seyedian A, Lin Y, Seifuddin F, Pirooznia M, Ross CA, Kleinman JE, Weinberger DR, Hyde TM. Amygdala and anterior cingulate transcriptomes from individuals with bipolar disorder reveal downregulated neuroimmune and synaptic pathways. Nat Neurosci 2022; 25:381-389. [PMID: 35260864 PMCID: PMC8915427 DOI: 10.1038/s41593-022-01024-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022]
Abstract
Recent genetic studies have identified variants associated with bipolar disorder (BD), but it remains unclear how brain gene expression is altered in BD and how genetic risk for BD may contribute to these alterations. Here, we obtained transcriptomes from subgenual anterior cingulate cortex and amygdala samples from post-mortem brains of individuals with BD and neurotypical controls, including 511 total samples from 295 unique donors. We examined differential gene expression between cases and controls and the transcriptional effects of BD-associated genetic variants. We found two coexpressed modules that were associated with transcriptional changes in BD: one enriched for immune and inflammatory genes and the other with genes related to the postsynaptic membrane. Over 50% of BD genome-wide significant loci contained significant expression quantitative trait loci (QTL) (eQTL), and these data converged on several individual genes, including SCN2A and GRIN2A. Thus, these data implicate specific genes and pathways that may contribute to the pathology of BP.
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Affiliation(s)
- Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. .,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Andrew E Jaffe
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Emily E Burke
- The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Leonardo Collado-Torres
- The Lieber Institute for Brain Development, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Arta Seyedian
- The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Yian Lin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fayaz Seifuddin
- The National Heart, Lung and Blood Institute, the National Institute of Health, Bethesda, MD, USA
| | - Mehdi Pirooznia
- The National Heart, Lung and Blood Institute, the National Institute of Health, Bethesda, MD, USA
| | - Christopher A Ross
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joel E Kleinman
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Daniel R Weinberger
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thomas M Hyde
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. .,The Lieber Institute for Brain Development, Baltimore, MD, USA. .,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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20
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Raballo A, Poletti M, Preti A. Editorial Perspective: Psychosis risk in adolescence - outcomes, comorbidity, and antipsychotics. J Child Psychol Psychiatry 2022; 63:241-244. [PMID: 34085715 DOI: 10.1111/jcpp.13438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/14/2021] [Indexed: 10/21/2022]
Abstract
Research on Clinical High-Risk for Psychosis (CHR-P) has led to a vigorous change in the field of early detection in psychiatry and is gradually expanding its focus toward early development. The Annual Research Review on psychosis risk in adolescents (Journal of Child Psychology and Psychiatry, 62, 2020 and 657) offers a wide-angle meta-analytical picture of such emerging trends in all areas relevant to CHR-P Research, that is, detection, prognosis, and intervention. This editorial perspective is meant to expand the clinical and conceptual reach of these meta-analytic findings in relation to (a) the influence of age on transition rate and scalability of the early detection model across the child-adolescent vs adult periods; (b) potential latent heterogeneity of the pathogenetic trajectories leading to CHR-P as suggested by comorbid psychopathologies; (c) controversial (or at least problematic) prognostic significance of antipsychotic exposure in CHR-P subjects, especially in children and adolescents.
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Affiliation(s)
- Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy.,Center for Translational, Phenomenological and Developmental Psychopathology (CTPDP), Perugia University Hospital, Perugia, Italy
| | - Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
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21
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Ma L, Yuan T, Li W, Guo L, Zhu D, Wang Z, Liu Z, Xue K, Wang Y, Liu J, Man W, Ye Z, Liu F, Wang J. Dynamic Functional Connectivity Alterations and Their Associated Gene Expression Pattern in Autism Spectrum Disorders. Front Neurosci 2022; 15:794151. [PMID: 35082596 PMCID: PMC8784878 DOI: 10.3389/fnins.2021.794151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 12/16/2021] [Indexed: 12/12/2022] Open
Abstract
Autism spectrum disorders (ASDs) are a group of heterogeneous neurodevelopmental disorders that are highly heritable and are associated with impaired dynamic functional connectivity (DFC). However, the molecular mechanisms behind DFC alterations remain largely unknown. Eighty-eight patients with ASDs and 87 demographically matched typical controls (TCs) from the Autism Brain Imaging Data Exchange II database were included in this study. A seed-based sliding window approach was then performed to investigate the DFC changes in each of the 29 seeds in 10 classic resting-state functional networks and the whole brain. Subsequently, the relationships between DFC alterations in patients with ASDs and their symptom severity were assessed. Finally, transcription-neuroimaging association analyses were conducted to explore the molecular mechanisms of DFC disruptions in patients with ASDs. Compared with TCs, patients with ASDs showed significantly increased DFC between the right dorsolateral prefrontal cortex (DLPFC) and left fusiform/lingual gyrus, between the DLPFC and the superior temporal gyrus, between the right frontal eye field (FEF) and left middle frontal gyrus, between the FEF and the right angular gyrus, and between the left intraparietal sulcus and the right middle temporal gyrus. Moreover, significant relationships between DFC alterations and symptom severity were observed. Furthermore, the genes associated with DFC changes in ASDs were identified by performing gene-wise across-sample spatial correlation analysis between gene expression extracted from six donors’ brain of the Allen Human Brain Atlas and case-control DFC difference. In enrichment analysis, these genes were enriched for processes associated with synaptic signaling and voltage-gated ion channels and calcium pathways; also, these genes were highly expressed in autistic disorder, chronic alcoholic intoxication and several disorders related to depression. These results not only demonstrated higher DFC in patients with ASDs but also provided novel insight into the molecular mechanisms underlying these alterations.
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Affiliation(s)
- Lin Ma
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Tengfei Yuan
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Lining Guo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Dan Zhu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Department of Radiology, Tianjin Medical University General Hospital Airport Hospital, Tianjin, China
| | - Zirui Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhixuan Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaizhong Xue
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaoyi Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Jiawei Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Weiqi Man
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Zhaoxiang Ye,
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Feng Liu,
| | - Junping Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Junping Wang,
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22
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Mutluer T, Aslan Genç H, Özcan Morey A, Yapici Eser H, Ertinmaz B, Can M, Munir K. Population-Based Psychiatric Comorbidity in Children and Adolescents With Autism Spectrum Disorder: A Meta-Analysis. Front Psychiatry 2022; 13:856208. [PMID: 35693977 PMCID: PMC9186340 DOI: 10.3389/fpsyt.2022.856208] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 04/29/2022] [Indexed: 12/22/2022] Open
Abstract
UNLABELLED Psychiatric comorbidity in autism spectrum disorder (ASD) is a subject of critical scientific importance, affecting the quality of life, prognosis, and functional outcomes. The prevalence of psychiatric disorders vary considerably according to variables such as index subject characteristics, study setting, sampling frame, diagnostic methods used, as well as country of geographic origin. To date, most studies comprise clinical or treatment referral samples in tertiary care or subjects enrolled in clinical trials and genetic cohort collections. Such samples carry the potential for overestimation of both the frequency and severity of psychiatric comorbidity. A systematic literature search was performed using PubMed and Web of Science databases restricted to population-based study publications in the English between May 1, 2015, and May 31, 2020. A comprehensive keyword list was generated to investigate co-occurrence of psychiatric disorders in children and adolescents with ASD. A wide range of DSM-5 based disorders such as anxiety, mood, ADHD, intellectual disability/intellectual developmental disorder, eating/feeding, gender dysphoria and sleep-wake disorders were assessed. Initial search revealed a total of 1674 articles after removal of duplicates. Two independent researchers conducted a parallel-blinded screening process to identify the eligible studies based on titles and abstracts; 39 studies were analyzed in the current review. The main findings show prevalence estimates of 22.9% (95% CI: 17.7- 29.2) for intellectual disability; 26.2% (22-31) for attention-deficit hyperactivity disorder; 11.1% (8.6-14.1) for anxiety disorders; 19.7% (11.9-30.7) for sleep disorders; 7% (5.2- 9.3) for disruptive disorders; 2% (1.3- 3.1) for bipolar disorders; 2.7% (1.8- 4.2) for depression; 1.8% (0.4-8.7) for obsessive-compulsive disorder; and 0.6% (0.3-1.1) for psychosis. Psychiatric comorbidity in population-based studies is lower than in clinical and referred samples. However, our results also indicate that the frequency of psychiatric comorbidity in children and adolescents with ASD in the population context is considerable, without the influence of referral bias implicit in clinical and treatment samples. There is a need for better targeted diagnostic tools to detect psychiatric comorbidity in children and youth in future population-based studies, as an essential component in providing care as well as new insights into the nature and mechanisms of its underlying associations. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42021234464].
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Affiliation(s)
- Tuba Mutluer
- Department of Psychiatry, School of Medicine, Koç University, Istanbul, Turkey.,Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Herdem Aslan Genç
- Division of Child and Adolescent Psychiatry, Koç University Hospital, Istanbul, Turkey
| | - Aslihan Özcan Morey
- Division of Child and Adolescent Psychiatry, Koç University Hospital, Istanbul, Turkey
| | - Hale Yapici Eser
- Department of Psychiatry, School of Medicine, Koç University, Istanbul, Turkey.,Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | | | - Merve Can
- Department of Child and Adolescent Psychiatry, Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Mental Health and Nervous Disorders, Istanbul, Turkey
| | - Kerim Munir
- Developmental Medicine Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
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23
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Ziermans T, Groenman A, Schalbroeck R. A Meta-Analysis of Autism and Clinical High-Risk for Psychosis is Too Premature. Comment on: Vaquerizo-Serrano, Salazar de Pablo, Singh & Santosh (2021). J Autism Dev Disord 2021; 52:5079-5082. [PMID: 34739645 DOI: 10.1007/s10803-021-05345-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/28/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Tim Ziermans
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. .,University of Amsterdam, Nieuwe Achtergracht 129-B, Room: G0.06, 1018 WS, Amsterdam, The Netherlands.
| | - Annabeth Groenman
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Rik Schalbroeck
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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24
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Ziermans TB, Schirmbeck F, Oosterwijk F, Geurts HM, de Haan L. Autistic traits in psychotic disorders: prevalence, familial risk, and impact on social functioning. Psychol Med 2021; 51:1704-1713. [PMID: 32151297 PMCID: PMC8327624 DOI: 10.1017/s0033291720000458] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 02/11/2020] [Accepted: 02/16/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Prevalence estimates of autistic traits in individuals with psychotic disorders (PD) vary greatly and it is unclear whether individuals with a familial risk (FR) for psychosis have an increased propensity to display autistic traits. Furthermore, it is unknown whether the presence of comorbid autism traits disproportionally affects the cognitive and behavioral aspects of social functioning in PD. METHODS In total, 504 individuals with PD, 587 unaffected siblings with FR, and 337 typical comparison (TC) individuals (16-50 years) were included. Autistic and psychotic traits were measured with the Autism Spectrum Quotient (AQ) and the Community Assessment of Psychic Experiences (CAPE). Social cognition was assessed with the Picture Sequencing Task (PST) and social behavior with the Social Functioning Scale (SFS). RESULTS For PD 6.5% scored above AQ clinical cut-off (⩾32), 1.0% for FR, and 1.2% for TC. After accounting for age, sex, and IQ, the PD group showed significantly more autistic traits and alterations in social behavior and cognition, while FR and TC only displayed marginal differences. Within the PD group autistic traits were a robust predictor of social behavior and there were no interactions with positive psychotic symptoms. CONCLUSIONS Levels of autistic traits are substantially elevated in PD and have a profoundly negative association with social functioning. In contrast, autistic traits above the clinical cut-off are not elevated in those with FR, and only marginally on a dimensional level. These findings warrant specific clinical guidelines for psychotic patients who present themselves with autistic comorbidity to help address their social needs.
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Affiliation(s)
- Tim B. Ziermans
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Frederike Schirmbeck
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | | | - Hilde M. Geurts
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Dr. Leo Kannerhuis, Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Arkin Institute for Mental Health, Amsterdam, The Netherlands
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25
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Zamami Y, Shinzato H, Kurihara K, Koda M, Nakamura A, Kondo T. Prevalence and profile of depressive mixed state in patients with autism spectrum disorder. Psychiatry Res 2021; 300:113932. [PMID: 33887519 DOI: 10.1016/j.psychres.2021.113932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 04/08/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE The present study aimed to clarify prevalence and profile of depressive mixed state (DMX) in depressed individuals with autism spectrum disorder (ASD). PATIENTS AND METHODS The Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning (GAF) were administered to 182 consecutive patients (36 ASD and 146 non-ASD subjects) with a major depressive episode (MDE). DMX was categorically diagnosed according to the criteria for mixed depression (MD) by Benazzi and mixed features (MF) specifier by DSM-5. Severity of DMX was assessed by the self-administered 12-item questionnaire for DMX (DMX-12). Clinical backgrounds and incidence/severity of DMX were compared between the ASD and non-ASD groups. RESULTS ASD patients showed higher prevalence of MD than non-ASD patients (36.1% versus 18.5%). Mood lability, distractibility, impulsivity, aggression, irritability, dysphoria and risk-taking behavior as mixed symptoms were more prevalent in ASD patients than those in non-ASD patients, together with higher scores of total DMX-12 and its disruptive emotion/behavior cluster. Multiple regression analysis revealed significant contribution of ASD to the disruptive emotion/behavior symptoms. CONCLUSION Careful monitoring and management of potential DMX are warranted in depressed ASD individuals.
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Affiliation(s)
- Yu Zamami
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Psychiatry and Neurosciences, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
| | - Kazuhiro Kurihara
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Munenaga Koda
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan
| | - Akifumi Nakamura
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Psychiatry, Akari Clinic, Okinawa, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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26
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Vaquerizo-Serrano J, Salazar de Pablo G, Singh J, Santosh P. Autism Spectrum Disorder and Clinical High Risk for Psychosis: A Systematic Review and Meta-analysis. J Autism Dev Disord 2021; 52:1568-1586. [PMID: 33993403 PMCID: PMC8938385 DOI: 10.1007/s10803-021-05046-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2021] [Indexed: 12/12/2022]
Abstract
Psychotic experiences can occur in autism spectrum disorders (ASD). Some of the ASD individuals with these experiences may fulfil Clinical High-Risk for Psychosis (CHR-P) criteria. A systematic literature search was performed to review the information on ASD and CHR-P. A meta-analysis of the proportion of CHR-P in ASD was conducted. The systematic review included 13 studies. The mean age of ASD individuals across the included studies was 11.09 years. The Attenuated Psychosis Syndrome subgroup was the most frequently reported. Four studies were meta-analysed, showing that 11.6% of CHR-P individuals have an ASD diagnosis. Symptoms of prodromal psychosis may be present in individuals with ASD. The transition from CHR-P to psychosis is not affected by ASD.
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Affiliation(s)
- Julio Vaquerizo-Serrano
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), National and Specialist Child and Adolescent Mental Health Services, Maudsley Hospital, London, UK.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Institute of Psychiatry and Mental Health, Department of Psychiatry, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Maranón, Universidad Complutense, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Jatinder Singh
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), National and Specialist Child and Adolescent Mental Health Services, Maudsley Hospital, London, UK
| | - Paramala Santosh
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK. .,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), National and Specialist Child and Adolescent Mental Health Services, Maudsley Hospital, London, UK.
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27
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Abstract
Autism seldom occurs in its pure form. Often labeled as behavioral disorders or psychological reactions, comorbid psychiatric disorders are common. Bipolar disorder is one of the most common psychiatric disorders that occur in persons with autism across their life spans. It can be comorbid with and mistaken for several other conditions. Similarly, psychosis occurs in several psychiatric disorders. Schizophrenia is the prototype psychotic disorder that has a close but controversial relationship with autism. Assessment and treatment of bipolar disorder and psychosis should be based on their individual characteristics, family dynamics, and community resources.
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Affiliation(s)
- Mohammad Ghaziuddin
- University of Michigan, University of Michigan Medical Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Neera Ghaziuddin
- University of Michigan, University of Michigan Medical Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
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28
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Gajwani R, Dinkler L, Lundström S, Lichtenstein P, Gillberg C, Minnis H. Mania symptoms in a Swedish longitudinal population study: The roles of childhood trauma and neurodevelopmental disorders. J Affect Disord 2021; 280:450-456. [PMID: 33242716 DOI: 10.1016/j.jad.2020.10.076] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/13/2020] [Accepted: 10/31/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Adult psychiatric disorders are associated with both childhood traumatic experiences (CTEs) and neurodevelopmental disorders (NDDs). CTEs and NDDs frequently co-occur in childhood, but their combined risk effect on the emergence of juvenile mania symptoms has not yet been examined. METHODS In a population-representative Swedish twin study, CTEs and NDDs were assessed in 3,348 nine-year old twins born between 1998 and 2001, and treated as dichotomous predictors (any CTEs, any NDDs). Follow-up data were gathered at age 15 through parental reports of mania symptoms, yielding a symptom count score. RESULTS Both CTEs and NDDs at age 9 contributed uniquely to an increase in mania symptoms at age 15. Children with both risk factors had 1.6 times the rate of mania symptoms as children with CTEs-only (Incidence rate ratio [IRR] 1.63, 95% CI 1.37-1.93), and 1.3 times the rate of mania symptoms as children with NDDs-only (IRR 1.26, 95% CI 1.06-1.50). There was no evidence for an interactive effect of CTEs and NDDs. NDDs showed a trend towards having a larger effect on mania symptoms than CTEs (NDDs-only vs. CTEs-only: IRR 1.29, 95% CI 0.99-1.68). LIMITATIONS Although it is a strength of the study that the data on exposures and outcome were collected prospectively, parental recall of CTEs was required and CTEs may be under-reported. CONCLUSIONS NDDs are at least as important as CTEs in the development of mania symptoms, and their risk is additive. Those with a history of both CTEs and NDDs should be monitored closely for the development of more severe psychiatric presentations.
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Affiliation(s)
- Ruchika Gajwani
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Lisa Dinkler
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden; Centre for Ethics, Law and Mental Health (CELAM), Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Christopher Gillberg
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Helen Minnis
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.
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29
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Foss-Feig JH, Guillory SB, Roach BJ, Velthorst E, Hamilton H, Bachman P, Belger A, Carrion R, Duncan E, Johannesen J, Light GA, Niznikiewicz M, Addington JM, Cadenhead KS, Cannon TD, Cornblatt B, McGlashan T, Perkins D, Seidman LJ, Stone WS, Tsuang M, Walker EF, Woods S, Bearden CE, Mathalon DH. Abnormally Large Baseline P300 Amplitude Is Associated With Conversion to Psychosis in Clinical High Risk Individuals With a History of Autism: A Pilot Study. Front Psychiatry 2021; 12:591127. [PMID: 33633603 PMCID: PMC7901571 DOI: 10.3389/fpsyt.2021.591127] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 01/05/2021] [Indexed: 11/13/2022] Open
Abstract
Psychosis rates in autism spectrum disorder (ASD) are 5-35% higher than in the general population. The overlap in sensory and attentional processing abnormalities highlights the possibility of related neurobiological substrates. Previous research has shown that several electroencephalography (EEG)-derived event-related potential (ERP) components that are abnormal in schizophrenia, including P300, are also abnormal in individuals at Clinical High Risk (CHR) for psychosis and predict conversion to psychosis. Yet, it is unclear whether P300 is similarly sensitive to psychosis risk in help-seeking CHR individuals with ASD history. In this exploratory study, we leveraged data from the North American Prodrome Longitudinal Study (NAPLS2) to probe for the first time EEG markers of longitudinal psychosis profiles in ASD. Specifically, we investigated the P300 ERP component and its sensitivity to psychosis conversion across CHR groups with (ASD+) and without (ASD-) comorbid ASD. Baseline EEG data were analyzed from 304 CHR patients (14 ASD+; 290 ASD-) from the NAPLS2 cohort who were followed longitudinally over two years. We examined P300 amplitude to infrequent Target (10%; P3b) and Novel distractor (10%; P3a) stimuli from visual and auditory oddball tasks. Whereas P300 amplitude attenuation is typically characteristic of CHR and predictive of conversion to psychosis in non-ASD sample, in our sample, history of ASD moderated this relationship such that, in CHR/ASD+ individuals, enhanced - rather than attenuated - visual P300 (regardless of stimulus type) was associated with psychosis conversion. This pattern was also seen for auditory P3b amplitude to Target stimuli. Though drawn from a small sample of CHR individuals with ASD, these preliminary results point to a paradoxical effect, wherein those with both CHR and ASD history who go on to develop psychosis have a unique pattern of enhanced neural response during attention orienting to both visual and target stimuli. Such a pattern stands out from the usual finding of P300 amplitude reductions predicting psychosis in non-ASD CHR populations and warrants follow up in larger scale, targeted, longitudinal studies of those with ASD at clinical high risk for psychosis.
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Affiliation(s)
- Jennifer H Foss-Feig
- Department of Psychiatry and Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sylvia B Guillory
- Department of Psychiatry and Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Brian J Roach
- San Francisco VA Health Care System, San Francisco, CA, United States
| | - Eva Velthorst
- Department of Psychiatry and Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Holly Hamilton
- San Francisco VA Health Care System, San Francisco, CA, United States.,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - Ricardo Carrion
- Department of Psychiatry, Zucker Hillside Hospital, New York, NY, United States
| | - Erica Duncan
- Departments of Psychology and Psychiatry, Atlanta VA Health Care System and Emory University, Decatur, GA, United States
| | - Jason Johannesen
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, United States
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | | | - Jean M Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Tyrone D Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, United States
| | - Barbara Cornblatt
- Department of Psychiatry, Zucker Hillside Hospital, New York, NY, United States
| | - Thomas McGlashan
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, United States
| | - Diana Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - Larry J Seidman
- Department of Psychiatry, Harvard University, Cambridge, MA, United States
| | - William S Stone
- Department of Psychiatry, Harvard University, Cambridge, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Atlanta VA Health Care System and Emory University, Decatur, GA, United States
| | - Scott Woods
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, United States
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Daniel H Mathalon
- San Francisco VA Health Care System, San Francisco, CA, United States.,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
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30
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Rek-Owodziń K, Tyburski E, Waszczuk K, Samochowiec J, Mak M. Neurocognition and Social Cognition- Possibilities for Diagnosis and Treatment in Ultra-High Risk for Psychosis State. Front Psychiatry 2021; 12:765126. [PMID: 34880793 PMCID: PMC8645604 DOI: 10.3389/fpsyt.2021.765126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/27/2021] [Indexed: 11/13/2022] Open
Abstract
In recent decades, clinicians have developed the construct of ultra-high risk (UHR) for psychosis to characterize the prodromal phase of psychosis or classify people with weakly expressed psychotic symptoms. In this conceptual analysis, we have gathered up-to-date data about the clinical picture of neurocognition and social cognition in people at UHR for psychosis. We also discuss treatment options. A well-chosen therapeutic approach can help to deal with difficulties and delay or even prevent the development of full-blown psychotic disorders in the UHR group. Despite much evidence supporting the benefits of therapy, early interventions are still not as widely used as they should be. Thus, a better understanding of the UHR state is very important for all healthcare workers.
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Affiliation(s)
- Katarzyna Rek-Owodziń
- Department of Health Psychology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Ernest Tyburski
- Department of Health Psychology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University in Szczecin, Szczecin, Poland
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Chien Y, Wu C, Tsai H. The Comorbidity of Schizophrenia Spectrum and Mood Disorders in Autism Spectrum Disorder. Autism Res 2020; 14:571-581. [DOI: 10.1002/aur.2451] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 10/13/2020] [Accepted: 11/23/2020] [Indexed: 02/06/2023]
Affiliation(s)
- Yi‐Ling Chien
- Department of Psychiatry National Taiwan University Hospital Taipei Taiwan
| | - Chi‐Shin Wu
- Department of Psychiatry National Taiwan University Hospital Taipei Taiwan
| | - Hui‐Ju Tsai
- Institute of Population Health Sciences, National Health Research Institutes Zhunan Taiwan
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32
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Nakata Y, Kanahara N, Kimura A, Niitsu T, Komatsu H, Oda Y, Ishikawa M, Hasegawa T, Kamata Y, Yamauchi A, Inazumi K, Kimura H, Iyo M. Autistic traits and cognitive profiles of treatment-resistant schizophrenia. Schizophr Res Cogn 2020; 22:100186. [PMID: 32760657 PMCID: PMC7390750 DOI: 10.1016/j.scog.2020.100186] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/10/2020] [Accepted: 07/10/2020] [Indexed: 12/27/2022]
Abstract
The complex pathophysiology of treatment-resistant schizophrenia (TRS) includes severe positive symptoms but also other symptom domains. The overlapping psychological profiles of schizophrenia and autistic spectrum disorder (ASD) are not established. We compared TRS patients (n = 30) with schizophrenia patients in remission (RemSZ, n = 28) and ASD patients (n = 28), focusing on both neurodevelopmental aspects and general and social cognitive impairments. The TRS group performed the worst on general neurocognition (measured by the MATRICS Consensus Cognitive Battery) and social cognition (measured by the theory of mind and emotional expression). The RemSZ group performed the best among the three groups. Regarding autistic traits, all measurements by the Autism-Spectrum Quotient/Autism Screening Questionnaire/Pervasive Developmental Disorder Assessment Rating Scale showed that (1) the ASD patients had the highest autistic traits (2) the TRS patients' scores were less severe than the ASD group's, but (3) the overall trends placed the TRS group between the ASD and the RemSZ group. These findings indicate that TRS patients and remitted patients could have distinctive neurodevelopmental and cognitive profiles. Further, the degrees of social cognitive dysfunction and autistic traits in TRS patients could be close to those of ASD patients, suggesting similarities between TRS and ASD.
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Affiliation(s)
- Yusuke Nakata
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Nobuhisa Kanahara
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
- Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan
- Corresponding author at: Division of Medical Treatment and Rehabilitation, Chiba University Center for Forensic Mental Health, 1-8-1 Inohana, Chuou-ku, Chiba-shi, Chiba 260-8670, Japan.
| | - Atsushi Kimura
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Tomihisa Niitsu
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Hideki Komatsu
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yasunori Oda
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Masatomo Ishikawa
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Tadashi Hasegawa
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
- Palliative Care Center, Chiba University Hospital, Chiba, Japan
| | - Yu Kamata
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Atsushi Yamauchi
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
- Department of Psychiatry, Chiba Rosai Hospital, Ichihara, Japan
| | - Kazuhiko Inazumi
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Hiroshi Kimura
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
- Department of Psychiatry, Gakuji-kai Kimura Hospital, Chiba, Japan
| | - Masaomi Iyo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
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Poletti M, Raballo A. Childhood schizotypal features vs. high-functioning autism spectrum disorder: Developmental overlaps and phenomenological differences. Schizophr Res 2020; 223:53-58. [PMID: 33046336 DOI: 10.1016/j.schres.2020.09.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 09/18/2020] [Accepted: 09/26/2020] [Indexed: 12/27/2022]
Abstract
Although autism spectrum disorder and schizophrenia have allegedly different onset timelines (e.g. in early years of life vs adolescence/early adulthood), there is nonetheless a diagnostic grey-zone along developmental stages, in which overlapping clinical features related to social impairment and oddity could impact on the differential diagnosis between childhood schizotypal features and high-functioning autism spectrum disorder. A phenomenological perspective may be helpful for the purpose of timely differential diagnosis also in developmental years.
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Affiliation(s)
- Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
| | - Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy
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Pehlivanidis A, Papanikolaou K, Mantas V, Kalantzi E, Korobili K, Xenaki LA, Vassiliou G, Papageorgiou C. Lifetime co-occurring psychiatric disorders in newly diagnosed adults with attention deficit hyperactivity disorder (ADHD) or/and autism spectrum disorder (ASD). BMC Psychiatry 2020; 20:423. [PMID: 32847520 PMCID: PMC7449076 DOI: 10.1186/s12888-020-02828-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/19/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Co-occurring psychiatric disorders in adults with Attention Deficit Hyperactivity Disorder (ADHD) and/or Autism Spectrum Disorder (ASD) contribute to the burden of the healthcare and possibly to the delay of diagnosis. Aim of the study was to clinically assess the prevalence and compare lifetime co-occurring psychopathology in a sample of newly diagnosed ADHD and/or ASD adults and discuss the diagnostic challenges they pose. METHODS The lifetime prevalence rates of ten of the most frequently co-occurring psychiatric diagnoses was registered in 336 adults of normal intelligence who underwent a thorough clinical evaluation for the diagnosis of ADHD and/or ASD for the first time in their lives. Four study groups were formed: the ADHD (n = 151), the ASD (n = 58), the ADHD+ASD (n = 28) and the nonADHD/nonASD (NN) (n = 88) group. RESULTS At least one co-occurring psychopathology was found in 72.8% of the ADHD group, in 50% of the ASD group, in 72.4% of the ADHD+ASD group and in 76.1% of the NN group (p = 0.004). In all groups the most frequent psychiatric disorder was depressive disorder. The only significant difference regarding the patterns of psychiatric co-occurrence between the ADHD and the nonADHD groups (ASD and NN groups) was found for SUD (p = 0.001). Also, the proportion of subjects with Bipolar Disorder was significantly greater in the NN group as compared to those with ASD (p = 0.025). CONCLUSIONS Our results support the high prevalence of co-occurring psychiatric disorders in adults with ADHD and/or ASD with the ASD group presenting the lowest rate. The most marked difference between the ADHD and the nonADHD groups was found for SUD. Moreover, our findings highlight the need for a thorough clinical assessment of all referred patients both in the presence and absence of ADHD and/or ASD.
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Affiliation(s)
- Artemios Pehlivanidis
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, "Eginition" Hospital, 72-74 Vas. Sofias Ave, 11528, Athens, Greece.
| | - Katerina Papanikolaou
- Department of Child Psychiatry, National and Kapodistrian University of Athens, Medical School, “Agia Sophia” Children’s Hospital, 11527 Athens, Greece
| | - Vasilios Mantas
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
| | - Eva Kalantzi
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
| | - Kalliopi Korobili
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
| | - Lida-Alkisti Xenaki
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
| | - Georgia Vassiliou
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
| | - Charalambos Papageorgiou
- grid.5216.00000 0001 2155 08001st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, “Eginition” Hospital, 72-74 Vas. Sofias Ave, 11528 Athens, Greece
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Voineskos AN, Jacobs GR, Ameis SH. Neuroimaging Heterogeneity in Psychosis: Neurobiological Underpinnings and Opportunities for Prognostic and Therapeutic Innovation. Biol Psychiatry 2020; 88:95-102. [PMID: 31668548 PMCID: PMC7075720 DOI: 10.1016/j.biopsych.2019.09.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 08/01/2019] [Accepted: 09/03/2019] [Indexed: 11/22/2022]
Abstract
Heterogeneity in symptom presentation, outcomes, and treatment response has long been problematic for researchers aiming to identify biological markers of schizophrenia or psychosis. However, there is increasing recognition that there may likely be no such general illness markers, which is consistent with the notion of a group of schizophrenia(s) that may have both shared and unique neurobiological pathways. Instead, strategies aiming to capitalize on or leverage such heterogeneity may help uncover neurobiological pathways that may then be used to stratify groups of patients for prognostic purposes or for therapeutic trials. A shift toward larger sample sizes with adequate statistical power to overcome small effect sizes and disentangle the shared variance among different brain-imaging or behavioral variables has become a priority for the field. In addition, recognition that two individuals with the same clinical diagnosis may be more different from each other (at brain, genetic, and behavioral levels) than from another individual in a different disorder or nonclinical control group-coupled with computational advances-has catapulted data-driven efforts forward. Emerging challenges for this new approach include longitudinal stability of new subgroups, demonstration of validity, and replicability. The "litmus test" will be whether computational approaches that are successfully identifying groups of patients who share features in common, more than current DSM diagnostic constructs, also provide better prognostic accuracy over time and in addition lead to enhancements in treatment response and outcomes. These are the factors that matter most to patients, families, providers, and payers.
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Affiliation(s)
- Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.
| | - Grace R Jacobs
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Stephanie H Ameis
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Brain and Mental Health Program, Hospital for Sick Children, Toronto, Canada
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Rodgers M, Marshall D, Simmonds M, Le Couteur A, Biswas M, Wright K, Rai D, Palmer S, Stewart L, Hodgson R. Interventions based on early intensive applied behaviour analysis for autistic children: a systematic review and cost-effectiveness analysis. Health Technol Assess 2020; 24:1-306. [PMID: 32686642 PMCID: PMC7397479 DOI: 10.3310/hta24350] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Early intensive applied behaviour analysis-based interventions are intensive interventions for autistic children that are often delivered on a one-to-one basis for 20-50 hours per week. OBJECTIVES To evaluate the clinical effectiveness and cost-effectiveness of early intensive applied behaviour analysis-based interventions for autistic children, based on current evidence. METHODS A systematic review and individual participant data meta-analysis were conducted to evaluate the clinical effectiveness of an early intensive applied behaviour analysis-based intervention for autistic children. An economic analysis included a review of existing analyses and the development of a new model. RESULTS Twenty studies were included in the clinical review. Individual participant data were retrieved from 15 of these studies. Results favoured the interventions when assessing adaptive behaviour after 2 years compared with treatment as usual/eclectic interventions (mean difference 7.00, 95% confidence interval 1.95 to 12.06). In analyses of cognitive ability (intelligence quotient), results favoured the interventions by approximately 10 points after 1 year (mean difference 9.16, 95% confidence interval 4.38 to 13.93) and 2 years (mean difference 14.13, 95% confidence interval 9.16 to 19.10). Evidence for other outcomes was limited and meta-analyses were generally inconclusive. There was no evidence that the effect of the interventions varied with characteristics of the children, but data were limited. Adopting a £30,000 per quality-adjusted life-year threshold, the results of the cost-effectiveness analysis indicate that early intensive applied behaviour analysis-based interventions would need to generate larger benefits or cost savings to be cost-effective. Adopting a public sector perspective and making pessimistic assumptions about long-term effects, the incremental cost-effectiveness ratio for early intensive applied behaviour analysis-based therapy compared with treatment as usual is £189,122 per quality-adjusted life-year. When optimistic assumptions are made, the incremental cost-effectiveness ratio is £46,768 per quality-adjusted life-year. Scenario analyses indicated that these interventions can potentially be cost-effective if long-term improvements persist into adulthood, or if they have significant impact on educational placement. Care should be taken when interpreting these scenarios owing to the limited data. LIMITATIONS All included studies were at risk of bias, there was substantial heterogeneity and effects varied considerably across studies. The effect of intervention on autism symptom severity, language development and school placement remains uncertain because of the limited data. The long-term effects are unclear owing to a lack of follow-up data. CONCLUSIONS This review found limited evidence that early intensive applied behaviour analysis-based interventions may improve cognitive ability and adaptive behaviour, but the long-term impact of the interventions remains unknown. The economic analysis is constrained by the limited effectiveness evidence, but suggests that these interventions are unlikely to be cost-effective unless clear long-term benefits, or a substantial change in which schools children attend, can be identified. FUTURE WORK Further studies into the effectiveness of early intensive applied behaviour analysis-based interventions may be warranted if they include well-defined, alternative interventions as comparators and collect relevant outcomes. Consideration should be given to future studies that not only address whether or not early intensive applied behaviour analysis-based interventions are clinically effective, but also aim to identify which components of early intensive applied behaviour analysis-based interventions might drive effectiveness. STUDY REGISTRATION This study is registered as PROSPERO CRD42017068303. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 35. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Mark Rodgers
- Centre for Reviews and Dissemination, University of York, York, UK
| | - David Marshall
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Mark Simmonds
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Ann Le Couteur
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Mousumi Biswas
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Kath Wright
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Dheeraj Rai
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Stephen Palmer
- Centre for Health Economics, University of York, York, UK
| | - Lesley Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Robert Hodgson
- Centre for Reviews and Dissemination, University of York, York, UK
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Abstract
Autism seldom occurs in its pure form. Often labeled as behavioral disorders or psychological reactions, comorbid psychiatric disorders are common. Bipolar disorder is one of the most common psychiatric disorders that occur in persons with autism across their life spans. It can be comorbid with and mistaken for several other conditions. Similarly, psychosis occurs in several psychiatric disorders. Schizophrenia is the prototype psychotic disorder that has a close but controversial relationship with autism. Assessment and treatment of bipolar disorder and psychosis should be based on their individual characteristics, family dynamics, and community resources.
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Affiliation(s)
- Mohammad Ghaziuddin
- University of Michigan, University of Michigan Medical Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Neera Ghaziuddin
- University of Michigan, University of Michigan Medical Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
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Björkenstam E, Pierce M, Björkenstam C, Dalman C, Kosidou K. Attention Deficit/Hyperactivity Disorder and risk for non-affective psychotic disorder: The role of ADHD medication and comorbidity, and sibling comparison. Schizophr Res 2020; 218:124-130. [PMID: 32001080 DOI: 10.1016/j.schres.2020.01.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Revised: 01/16/2020] [Accepted: 01/19/2020] [Indexed: 10/25/2022]
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is the most common psychiatric disorder in childhood. It is unclear whether ADHD increases the risk of non-affective psychotic disorder (NAPD). The study included a matched cohort, drawn from all born in Sweden 1987-1991 (n = 548,852). ADHD was defined as ICD diagnosis and/or prescription of ADHD medication. We distinguished between stimulants and non-stimulants, and usage duration (<1 year, 1-2 years and ≥2 years). We calculated odds ratios (OR) with 95% confidence intervals (CI) for NAPD, adjusted for confounders, comorbid autism spectrum disorder (ASD) and substance abuse. ADHD cases were also compared to their unaffected full siblings. We analyzed 18,139 ADHD cases and 72,437 sex and birth year matched controls. NAPD was more common in cases than controls (2.7 and 0.4%, respectively). After adjustment for confounders, ADHD cases had markedly high risk for NAPD (OR: 6.99; 95% CI 6.03-8.10), which attenuated further after adjustment for ASD and substance abuse (OR: 2.57; 95% CI 2.09-3.16). Utilization of ADHD medication increased the risk for NAPD (ORs for change in odds of NAPD for every 5 extra prescriptions of stimulants 1.06 (95% CI 1.02-1.10) and, non-stimulants 1.15 (95% CI 1.01-1.30)). There was no association between usage length of medication and risk for NAPD. The risk was higher in individuals with ADHD than their unaffected siblings (OR: 2.95 (95% CI 2.07-4.20)). Overall, ADHD was associated with elevated risk for NAPD, which is not entirely explained by shared familial factors. The clinical severity leading to medical treatment may also increase NAPD risk. Ethics approval: Approved by the ethical committee in Stockholm, Sweden (dnrs: 2010-1185-31/5 and 2013/1118-32).
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Affiliation(s)
- Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Community Health Sciences, Fielding School of Public Health and California Center for Population Research, University of California Los Angeles, Los Angeles, CA, United States; Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden.
| | - Matthias Pierce
- Center for Women's Mental Health, School of Health Sciences, University of Manchester, UK
| | | | - Christina Dalman
- Department of Public Health Sciences, Division Public Health Epidemiology, Karolinska Institutet, Stockholm, Sweden; Center for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden
| | - Kyriaki Kosidou
- Department of Public Health Sciences, Division Public Health Epidemiology, Karolinska Institutet, Stockholm, Sweden; Center for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden
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Forstner AJ, Fischer SB, Schenk LM, Strohmaier J, Maaser-Hecker A, Reinbold CS, Sivalingam S, Hecker J, Streit F, Degenhardt F, Witt SH, Schumacher J, Thiele H, Nürnberg P, Guzman-Parra J, Orozco Diaz G, Auburger G, Albus M, Borrmann-Hassenbach M, González MJ, Gil Flores S, Cabaleiro Fabeiro FJ, del Río Noriega F, Perez Perez F, Haro González J, Rivas F, Mayoral F, Bauer M, Pfennig A, Reif A, Herms S, Hoffmann P, Pirooznia M, Goes FS, Rietschel M, Nöthen MM, Cichon S. Whole-exome sequencing of 81 individuals from 27 multiply affected bipolar disorder families. Transl Psychiatry 2020; 10:57. [PMID: 32066727 PMCID: PMC7026119 DOI: 10.1038/s41398-020-0732-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/18/2019] [Accepted: 01/08/2020] [Indexed: 01/01/2023] Open
Abstract
Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of depression and mania. Research suggests that the cumulative impact of common alleles explains 25-38% of phenotypic variance, and that rare variants may contribute to BD susceptibility. To identify rare, high-penetrance susceptibility variants for BD, whole-exome sequencing (WES) was performed in three affected individuals from each of 27 multiply affected families from Spain and Germany. WES identified 378 rare, non-synonymous, and potentially functional variants. These spanned 368 genes, and were carried by all three affected members in at least one family. Eight of the 368 genes harbored rare variants that were implicated in at least two independent families. In an extended segregation analysis involving additional family members, five of these eight genes harbored variants showing full or nearly full cosegregation with BD. These included the brain-expressed genes RGS12 and NCKAP5, which were considered the most promising BD candidates on the basis of independent evidence. Gene enrichment analysis for all 368 genes revealed significant enrichment for four pathways, including genes reported in de novo studies of autism (padj < 0.006) and schizophrenia (padj = 0.015). These results suggest a possible genetic overlap with BD for autism and schizophrenia at the rare-sequence-variant level. The present study implicates novel candidate genes for BD development, and may contribute to an improved understanding of the biological basis of this common and often devastating disease.
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Affiliation(s)
- Andreas J. Forstner
- 0000 0004 1936 9756grid.10253.35Centre for Human Genetics, University of Marburg, Marburg, Germany ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,0000 0004 1937 0642grid.6612.3Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Sascha B. Fischer
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Lorena M. Schenk
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Jana Strohmaier
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,SRH University Heidelberg, Academy for Psychotherapy, Heidelberg, Germany
| | - Anna Maaser-Hecker
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Céline S. Reinbold
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,0000 0004 1936 8921grid.5510.1Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Sugirthan Sivalingam
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Julian Hecker
- 000000041936754Xgrid.38142.3cDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Fabian Streit
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Franziska Degenhardt
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stephanie H. Witt
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Johannes Schumacher
- 0000 0004 1936 9756grid.10253.35Centre for Human Genetics, University of Marburg, Marburg, Germany ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Holger Thiele
- 0000 0000 8580 3777grid.6190.eCologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- 0000 0000 8580 3777grid.6190.eCologne Center for Genomics, University of Cologne, Cologne, Germany
| | - José Guzman-Parra
- grid.452525.1Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Guillermo Orozco Diaz
- Unidad de Gestión Clínica del Dispositivo de Cuidados Críticos y Urgencias del Distrito Sanitario Málaga - Coin-Gudalhorce, Málaga, Spain
| | - Georg Auburger
- 0000 0004 0578 8220grid.411088.4Experimental Neurology, Department of Neurology, Goethe University Hospital, Frankfurt am Main, Germany
| | - Margot Albus
- 0000 0001 0690 3065grid.419834.3Isar Amper Klinikum München Ost, kbo, Haar, Germany
| | | | - Maria José González
- grid.452525.1Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Susana Gil Flores
- 0000 0004 1771 4667grid.411349.aDepartment of Mental Health, University Hospital of Reina Sofia, Cordoba, Spain
| | | | - Francisco del Río Noriega
- grid.477360.1Department of Mental Health, Hospital of Jerez de la Frontera, Jerez de la Frontera, Spain
| | | | | | - Fabio Rivas
- Department of Psychiatry, Carlos Haya Regional University Hospital, Malaga, Spain
| | - Fermin Mayoral
- Department of Psychiatry, Carlos Haya Regional University Hospital, Malaga, Spain
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Andreas Reif
- 0000 0004 0578 8220grid.411088.4Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Stefan Herms
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,0000 0001 2297 375Xgrid.8385.6Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Mehdi Pirooznia
- 0000 0001 2171 9311grid.21107.35Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Fernando S. Goes
- 0000 0001 2171 9311grid.21107.35Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Marcella Rietschel
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus M. Nöthen
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany. .,Department of Biomedicine, University of Basel, Basel, Switzerland. .,Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland. .,Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany.
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Sunwoo M, O'Connell J, Brown E, Lin A, Wood SJ, McGorry P, O'Donoghue B. Prevalence and outcomes of young people with concurrent autism spectrum disorder and first episode of psychosis. Schizophr Res 2020; 216:310-315. [PMID: 31787480 DOI: 10.1016/j.schres.2019.11.037] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 08/05/2019] [Accepted: 11/22/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND The intersect and blurring of boundaries between schizophrenia spectrum disorders and autism spectrum disorder (ASD) has long been an area of confusion, in both nosology and clinical practice. Individuals with a comorbid presentation of the two spectra can present with a distinct phenomenological profile to those with psychosis or ASD alone. AIMS To examine the prevalence rates of ASD in a cohort of young people presenting with a first episode of psychosis (FEP) and compare the demographic and clinical characteristics and functional outcomes between individuals with concurrent FEP and ASD, and individuals with FEP only. METHODS Young people aged 15 to 24 who presented with FEP to the Early Psychosis Prevention and Intervention Centre (EPPIC) between 1st January 2011 and 31st December 2013 were included in the study. RESULTS Of the 544 individuals presenting with a FEP, 3.7% (N = 20) had a diagnosis of ASD. Individuals with a concurrent diagnosis of FEP and ASD were more likely to be male and less likely to have comorbid substance use issues. There was no difference found in the severity of psychotic symptoms or diagnoses between groups. Those with FEP and ASD were more likely to experience impairments in interpersonal skills and be more likely to be engaged in employment or education at time of discharge from service. CONCLUSIONS Individuals with concurrent FEP and ASD can present with distinct clinical characteristics that require specialised assessment and treatment. Further large-scale studies with control groups could help to better understand the phenomenological specificity of this subgroup.
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Affiliation(s)
| | - Jessica O'Connell
- Orygen Youth Health, Melbourne, Australia; Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - Ellie Brown
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, 100 Roberts Rd, Subiaco, WA 6008, Australia
| | - Stephen J Wood
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia; School of Psychology, University of Birmingham, UK
| | - Patrick McGorry
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - Brian O'Donoghue
- Orygen Youth Health, Melbourne, Australia; Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia.
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41
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Bray NJ, Owen MJ. A Developmental Perspective on the Convergence of Genetic Risk Factors for Neuropsychiatric Disorders. Biol Psychiatry 2020; 87:98-99. [PMID: 31856960 DOI: 10.1016/j.biopsych.2019.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 09/17/2019] [Indexed: 11/25/2022]
Affiliation(s)
- Nicholas J Bray
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
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van der Linden K, Simons C, van Amelsvoort T, Marcelis M. Lifetime and Momentary Psychotic Experiences in Adult Males and Females With an Autism Spectrum Disorder. Front Psychiatry 2020; 11:766. [PMID: 32848936 PMCID: PMC7416642 DOI: 10.3389/fpsyt.2020.00766] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 07/20/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Existing research shows that adults with an autism spectrum disorder (ASD) are more vulnerable to develop overt psychosis. However, studies investigating (subclinical) psychotic experiences (PE) in ASD are scarce, and it is unknown if PE are accompanied with more distress in adults with ASD compared to the general population. This study examined lifetime PE and accompanying distress, momentary PE levels, and the impact of daily life stress and negative affect (NA) on momentary PE in males and females with ASD compared to controls. METHODS In 50 adults with ASD (males N= 26, females N= 24) and 51 adults without ASD (males N= 26, females N= 25), the Community Assessment of Psychic Experiences (CAPE) was used to analyze group differences in frequency and distress of lifetime subclinical positive, negative, and depressive symptoms. The Experience Sampling Method (ESM) was used to measure momentary PE, NA, and stress (activity-related, event-related, and social stress) for 10 days. Multilevel analyses were conducted to test whether stress and NA were associated with momentary PE and whether these associations were modified by group or sex. RESULTS Adults with ASD reported more lifetime CAPE negative and depressive symptoms, but similar levels of PE, than controls. Higher levels of accompanying distress were found in participants with ASD for each subscale. With respect to ESM momentary PE, higher levels were reported by adults with ASD and a stronger association between event-related stress and momentary PE was found compared to controls. This was not the case for NA, activity-related, and social stress. Overall, no significant differences between male and female outcomes were found. CONCLUSION Adults with ASD are more prone to encounter lifetime subclinical negative and depressive symptoms and accompanying distress compared to adults without ASD. Similar levels of lifetime PE in both groups were still accompanied with more distress in the ASD group. Furthermore, higher levels of ESM momentary PE were found in participants with ASD. Additionally, event-related stress may act as a risk factor for PE in both females and males with ASD, with a stronger risk-increasing effect than in their control counterparts.
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Affiliation(s)
- Kim van der Linden
- GGzE, Mental Healthcare Institution Eindhoven, Eindhoven, Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, Netherlands
| | - Claudia Simons
- GGzE, Mental Healthcare Institution Eindhoven, Eindhoven, Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, Netherlands
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, Netherlands
| | - Machteld Marcelis
- GGzE, Mental Healthcare Institution Eindhoven, Eindhoven, Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, Netherlands
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43
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Chandrasekhar T, Copeland JN, Spanos M, Sikich L. Autism, Psychosis, or Both? Unraveling Complex Patient Presentations. Child Adolesc Psychiatr Clin N Am 2020; 29:103-113. [PMID: 31708040 DOI: 10.1016/j.chc.2019.08.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Autism spectrum disorders (ASDs) and schizophrenia spectrum disorders co-occur at elevated rates. Although these conditions are diagnostically distinct, they share multiple clinical features and genetic risk factors. This article describes the epidemiologic features and clinical manifestations of psychosis in individuals with ASDs, while also discussing shared genetic risk factors and affected brain regions. Components of a diagnostic assessment, including a thorough developmental, behavioral, medical, and psychiatric history, will be reviewed. The authors highlight the manifestations of catatonia in this population and note the shared features between catatonia and ASDs. Finally, treatment approaches and areas for future study are suggested.
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Affiliation(s)
- Tara Chandrasekhar
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA.
| | - John Nathan Copeland
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA
| | - Marina Spanos
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA
| | - Linmarie Sikich
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA
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Maat A, Therman S, Swaab H, Ziermans T. The Attenuated Psychosis Syndrome and Facial Affect Processing in Adolescents With and Without Autism. Front Psychiatry 2020; 11:759. [PMID: 32848934 PMCID: PMC7416636 DOI: 10.3389/fpsyt.2020.00759] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/17/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Autism and schizophrenia spectrum disorders both represent severely disabling neurodevelopmental disorders with marked impairments in social functioning. Despite an increased incidence of psychosis in autism, and substantial overlap in symptoms and cognitive markers, it is unclear whether such phenotypes are specifically related to risk for psychosis or perhaps reflect more general, idiosyncratic autism traits. The attenuated psychosis syndrome (APS) is primarily defined by the presence of attenuated psychotic symptoms, which currently constitute the best and most-replicated clinical predictors of psychosis, and are common in clinical youth with and without autism. The aims of this study were to test the hypothesis that facial affect processing is impaired in adolescents with APS and to explore whether such deficits are more indicative of psychotic or autistic phenotypes on a categorical and dimensional level. MATERIALS AND METHOD Fifty-three adolescents with APS and 81 typically developing controls (aged 12-18) were included. The APS group consisted of adolescents with (n = 21) and without (n = 32) a diagnosis of autism spectrum disorder. Facial affect recognition was assessed with the Amsterdam Neuropsychological Tasks using a cascade model of cognitive processing, in which disturbances in "lower-level" cognitive abilities (pattern recognition), affect "higher-level" cognitive processes (face recognition and facial affect recognition). For associations with schizotypal and autistic-like traits the Schizotypal Personality Questionnaire and Social Communication Questionnaire were used in a confirmatory item factor analysis framework. RESULTS Contrary to expectation, APS in adolescents was not associated with impairments in pattern, face, or facial affect recognition. However, the APS group with autism spectrum disorder showed a general latency in response time to social and non-social stimuli. Dimensionally assessed schizotypal and autistic-like traits did not predict the accuracy or the speed of face or facial affect recognition. CONCLUSION Facial affect processing performance was not associated with APS in adolescence and represents an unlikely early vulnerability marker for psychosis. APS individuals with a more autistic-like profile were characterized by slower responses to social- and non-social stimuli, suggesting that the combined effect of APS and autism spectrum disorder on cognition is larger than for APS alone.
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Affiliation(s)
- Arija Maat
- Department of Psychiatry, UMC Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Sebastian Therman
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Hanna Swaab
- Clinical Child & Adolescent Studies, Leiden University, Leiden, Netherlands
| | - Tim Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
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Barlati S, Minelli A, Ceraso A, Nibbio G, Carvalho Silva R, Deste G, Turrina C, Vita A. Social Cognition in a Research Domain Criteria Perspective: A Bridge Between Schizophrenia and Autism Spectra Disorders. Front Psychiatry 2020; 11:806. [PMID: 33005149 PMCID: PMC7485015 DOI: 10.3389/fpsyt.2020.00806] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/27/2020] [Indexed: 12/27/2022] Open
Abstract
Schizophrenia and autism spectra disorders are currently conceptualized as distinct clinical categories. However, the relationship between these two nosological entities has been revisited in recent years due to the evidence that they share some important clinical and neurobiological features, putting into question the nature and the extent of their commonalities and differences. In this respect, some core symptoms that are present in both disorders, such as social cognitive deficits, could be a primary target of investigation. This review briefly summarizes the commonalities and overlapping features between schizophrenia and autism spectra disorders in social cognitive functions, considering this construct in a Research Domain Criteria perspective. The clinical manifestation of deficits in social cognition are similar in schizophrenia spectrum disorders and autism spectrum disorders, and brain areas that appear to be altered in relation to these impairments are largely shared; however, the results of various studies suggest that, in some cases, the qualitative nature of these alterations may be different in the two spectra. Moreover, relevant differences could be present at the level of brain networks and connections. More research is required in this field, regarding molecular and genetic aspects of both spectra, to better define the neurobiological mechanisms involved in social cognition deficits, with the objective of developing specific and targeted treatments.
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Affiliation(s)
- Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, and Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.,Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Alessandra Minelli
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Anna Ceraso
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Rosana Carvalho Silva
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Giacomo Deste
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Cesare Turrina
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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Schalbroeck R, Termorshuizen F, Visser E, van Amelsvoort T, Selten JP. Risk of non-affective psychotic disorder or bipolar disorder in autism spectrum disorder: a longitudinal register-based study in the Netherlands. Psychol Med 2019; 49:2543-2550. [PMID: 30460888 DOI: 10.1017/s0033291718003483] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Individuals with autism spectrum disorder (ASD) appear to be at increased risk of non-affective psychotic disorder (NAPD) and bipolar disorder (BD). However, most previous studies examined the co-occurrence of ASD and NAPD or BD, ignoring possible diagnostic bias and selection bias. We used longitudinal data from Dutch psychiatric case registers to assess the risk of NAPD or BD among individuals with ASD, and compared the results to those obtained for the Dutch population in earlier studies. METHODS Individuals with ASD (n = 17 234) were followed up between 16 and 35 years of age. Kaplan-Meier estimates were used to calculate the risk of NAPD or BD. We conducted separate analyses to reduce possible bias, including an analysis among individuals diagnosed with ASD before age 16 years (n = 8337). RESULTS Of the individuals with ASD, 23.50% (95% confidence interval 21.87-25.22) were diagnosed with NAPD and 3.79% (3.06-4.69) with BD before age 35 years. The corresponding figures for the general population were 0.91% (0.63-1.28) and 0.13% (0.08-0.20). Risk estimates were substantially lower, but still higher than general population estimates, when we restricted our analyses to individuals diagnosed with ASD before age 16, with 1.87% (1.33-2.61) being diagnosed with NAPD and 0.57% (0.21-1.53) with BD before age 25 years. The corresponding figures for the general population were 0.63% (0.44-0.86) and 0.08% (0.05-0.12). CONCLUSIONS Individuals with ASD are at increased risk of NAPD or BD. This is likely not the result of diagnostic or selection bias.
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Affiliation(s)
- R Schalbroeck
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Rivierduinen Institute for Mental Healthcare, Leiden, The Netherlands
| | - F Termorshuizen
- Rivierduinen Institute for Mental Healthcare, Leiden, The Netherlands
| | - E Visser
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, The Netherlands
| | - T van Amelsvoort
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - J P Selten
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Rivierduinen Institute for Mental Healthcare, Leiden, The Netherlands
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Dell'Osso L, Carpita B, Bertelloni CA, Diadema E, Barberi FM, Gesi C, Carmassi C. Subthreshold autism spectrum in bipolar disorder: Prevalence and clinical correlates. Psychiatry Res 2019; 281:112605. [PMID: 31629303 DOI: 10.1016/j.psychres.2019.112605] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 10/05/2019] [Accepted: 10/07/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND While few previous studies highlighted a higher prevalence of autistic traits among adults with Bipolar Disorder (BD), little is known about their clinical significance in this population. METHOD 143 subjects with BD were enrolled at the adult psychiatric inpatient clinic of the University of Pisa. Assessments included the SCID-5, the MOODS-SR, the AQ and the AdAS Spectrum. RESULTS 42.7% of the sample scored positively for significant levels of autistic traits. Subjects with high autistic traits showed a greater likelihood of a very early onset of BD, greater length of current in-hospital stay, significantly higher rates of anxiety disorders and lower rates of substance use disorders compared to patients with low autistic traits. They also show significantly greater depressive symptoms and suicidality across the lifetime. Suicidality was associated with the altered responsiveness to sensory input and inversely related to adherence to routine and inflexibility. CONCLUSION The study is a first exploration of the clinical significance of autistic traits among BD patients. Our results highlight the clinical significance of autistic traits in patients with BD, supporting the usefulness of a dimensional approach to the autism spectrum.
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Affiliation(s)
- Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Barbara Carpita
- Department of Clinical and Experimental Medicine, University of Pisa, Italy.
| | | | - Elisa Diadema
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | | | - Camilla Gesi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Claudia Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
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Patterns of Psychiatric Comorbidity and Genetic Correlations Provide New Insights Into Differences Between Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder. Biol Psychiatry 2019; 86:587-598. [PMID: 31182215 PMCID: PMC6764861 DOI: 10.1016/j.biopsych.2019.04.021] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) share common genetic factors but seem to have specific patterns of psychiatric comorbidities. There are few systematic studies on adults; therefore, we compared psychiatric comorbidities in adults with these two neurodevelopmental disorders using population-based data and analyzed their genetic correlations to evaluate underlying factors. METHODS Using data from Norwegian registries, we assessed patterns of psychiatric disorders in adults with ADHD (n = 38,636; 2.3%), ASD (n = 7528; 0.4%), and both diagnoses (n = 1467; 0.1%) compared with the remaining adult population (n = 1,653,575). We calculated their prevalence ratios (PRs) and differences using Poisson regression, also examining sex-specific relations. Genetic correlations (rg) among ADHD, ASD, and the examined psychiatric disorders were calculated by linkage disequilibrium score regression, exploiting summary statistics from relevant genome-wide association studies. RESULTS For all psychiatric comorbidities, PRs differed between ADHD and ASD. Associations were strongest in individuals with ADHD and ADHD+ASD for most comorbidities, in both men and women. The relative prevalence increase of substance use disorder was three times larger in ADHD than in ASD (PRADHD, 6.2; 95% confidence interval [CI], 6.1-6.4; PRASD, 1.9; 95% CI, 1.7-2.2; p < .001); however, the opposite was true for schizophrenia (PRASD, 13.9; 95% CI, 12.7-15.2; PRADHD, 4.4; 95% CI, 4.1-4.7; p < .001). Genetic correlations supported these patterns but were significantly different between ADHD and ASD only for the substance use disorder proxies and personality traits (p < .006 for all). CONCLUSIONS Adults with ADHD, ASD, or both ADHD and ASD have specific patterns of psychiatric comorbidities. This may partly be explained by differences in underlying genetic factors.
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Lai MC, Kassee C, Besney R, Bonato S, Hull L, Mandy W, Szatmari P, Ameis SH. Prevalence of co-occurring mental health diagnoses in the autism population: a systematic review and meta-analysis. Lancet Psychiatry 2019; 6:819-829. [PMID: 31447415 DOI: 10.1016/s2215-0366(19)30289-5] [Citation(s) in RCA: 618] [Impact Index Per Article: 123.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 07/01/2019] [Accepted: 07/02/2019] [Indexed: 12/26/2022]
Abstract
BACKGROUND Co-occurring mental health or psychiatric conditions are common in autism, impairing quality of life. Reported prevalences of co-occurring mental health or psychiatric conditions in people with autism range widely. Improved prevalence estimates and identification of moderators are needed to enhance recognition and care, and to guide future research. METHODS In this systematic review and meta-analysis, we searched MEDLINE, Embase, PsycINFO, Scopus, Web of Science, and grey literature for publications between Jan 1, 1993, and Feb 1, 2019, in English or French, that reported original research using an observational design on the prevalence of co-occurring mental health conditions in people with autism and reported confirmed clinical diagnoses of the co-occurring conditions and autism using DSM or ICD criteria. For co-occurring mental health conditions reported with at least 15 datapoints (studies), we assessed risk of bias and we determined pooled estimates of prevalence for different co-occurring conditions in autism using random-effects models, and descriptively compared these with prevalence estimates for the general population from the literature (post hoc). We investigated heterogeneity in prevalence estimates using random-effects meta-regression models. This systematic review is registered with PROSPERO, CRD42018103176. FINDINGS Of 9746 unique studies identified, 432 were selected for full-text review. 100 studies were eligible for inclusion in our qualitative synthesis, of which 96 were included in our meta-analyses. 11 categories of co-occurring conditions were investigated, of which eight conditions were included in the meta-analyses and three were descriptively synthesised (ie, trauma and stressor-related disorders, substance-related and addictive disorders, and gender dysphoria). From our meta-analyses, we found overall pooled prevalence estimates of 28% (95% CI 25-32) for attention-deficit hyperactivity disorder; 20% (17-23) for anxiety disorders; 13% (9-17) for sleep-wake disorders; 12% (10-15) for disruptive, impulse-control, and conduct disorders; 11% (9-13) for depressive disorders; 9% (7-10) for obsessive-compulsive disorder; 5% (3-6) for bipolar disorders; and 4% (3-5) for schizophrenia spectrum disorders. Estimates in clinical sample-based studies were higher than in population-based and registry-based studies, and these estimates were mostly higher than those in the general population (post hoc). Age, gender, intellectual functioning, and country of study were associated with heterogeneity in prevalence estimates, yet remaining heterogeneity not explained was still substantial (all I2 >95%). INTERPRETATION Co-occurring mental health conditions are more prevalent in the autism population than in the general population. Careful assessment of mental health is an essential component of care for all people on the autism spectrum and should be integrated into clinical practice. FUNDING Academic Scholars Awards, Department of Psychiatry, University of Toronto; O'Brien Scholars Program, Slaight Family Child and Youth Mental Health Innovation Fund, and The Catherine and Maxwell Meighen Foundation via the Centre for Addiction and Mental Health Foundation.
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Affiliation(s)
- Meng-Chuan Lai
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Centre for Brain and Mental Health and Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
| | - Caroline Kassee
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Richard Besney
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sarah Bonato
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Laura Hull
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - William Mandy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Peter Szatmari
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Centre for Brain and Mental Health and Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Stephanie H Ameis
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Centre for Brain and Mental Health and Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Personalized and precision medicine as informants for treatment management of bipolar disorder. Int Clin Psychopharmacol 2019; 34:189-205. [PMID: 30932919 DOI: 10.1097/yic.0000000000000260] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
DSM-5 diagnostic categories, defined by a set of psychopathological symptoms are heterogeneous conditions that may include different biological entities, with distinct etiopathogenesis, different courses and requiring different treatment management. For bipolar disorder the major evidences for this lack of validity are the long paths before a proper diagnosis, the inconsistence of treatment guidelines, the long phases of pharmacological adjustment and the low average of long-term treatment response rates. Personalized medicine for mental disorders aims to couple established clinical-pathological indexes with new molecular profiling to create diagnostic, prognostic and therapeutic strategies precisely tailored to each patient. Regarding bipolar disorder, the clinical history and presentation are still the most reliable markers in stratifying patients and guiding therapeutic management, despite the research goes to great lengths to develop new neuropsychological or biological markers that can reliably predict individual therapy effectiveness. We provide an overview of the advancements in personalized medicine in bipolar disorder, with particular attention to how psychopathology, age at onset, comorbidity, course and staging, genetic and epigenetic, imaging and biomarkers can influence treatment management and provide an integration to the conventional treatment guidelines. This approach may offer a new and rational path for the development of treatments for targeted subgroups of patients with bipolar disorder.
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