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Cucinotta F, Lintas C, Tomaiuolo P, Baccarin M, Picinelli C, Castronovo P, Sacco R, Piras IS, Turriziani L, Ricciardello A, Scattoni ML, Persico AM. Diagnostic yield and clinical impact of chromosomal microarray analysis in autism spectrum disorder. Mol Genet Genomic Med 2023; 11:e2182. [PMID: 37186221 PMCID: PMC10422062 DOI: 10.1002/mgg3.2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is characterized by high heritability estimates and recurrence rates; its genetic underpinnings are very heterogeneous and include variable combinations of common and rare variants. Array-comparative genomic hybridization (aCGH) offers significant sensitivity for the identification of copy number variants (CNVs), which can act as susceptibility or causal factors for ASD. METHODS The aim of this study was to evaluate both diagnostic yield and clinical impact of aCGH in 329 ASD patients of Italian descent. RESULTS Pathogenic/likely pathogenic CNVs were identified in 50/329 (15.2%) patients, whereas 89/329 (27.1%) carry variants of uncertain significance. The 10 most enriched gene sets identified by Gene Ontology Enrichment Analysis are primarily involved in neuronal function and synaptic connectivity. In 13/50 (26.0%) patients with pathogenic/likely pathogenic CNVs, the outcome of array-CGH led to the request of 25 additional medical exams which would not have otherwise been prescribed, mainly including brain MRI, EEG, EKG, and/or cardiac ultrasound. A positive outcome was obtained in 12/25 (48.0%) of these additional tests. CONCLUSIONS This study confirms the satisfactory diagnostic yield of aCGH, underscoring its potential for better, more in-depth care of children with autism when genetic results are analyzed also with a focus on patient management.
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Affiliation(s)
- Francesca Cucinotta
- Interdepartmental Program "Autism 0‐90", "G. Martino" University Hospital of MessinaMessinaItaly
- IRCCS Centro Neurolesi “Bonino Pulejo”MessinaItaly
| | - Carla Lintas
- Service for Neurodevelopmental Disorders & Laboratory of Molecular Psychiatry and NeurogeneticsUniversity “Campus Bio‐Medico”RomeItaly
| | - Pasquale Tomaiuolo
- Interdepartmental Program "Autism 0‐90", "G. Martino" University Hospital of MessinaMessinaItaly
| | - Marco Baccarin
- Mafalda Luce Center for Pervasive Developmental DisordersMilanItaly
- Synlab GeneticsBioggioSwitzerland
| | - Chiara Picinelli
- Mafalda Luce Center for Pervasive Developmental DisordersMilanItaly
| | - Paola Castronovo
- Mafalda Luce Center for Pervasive Developmental DisordersMilanItaly
| | - Roberto Sacco
- Service for Neurodevelopmental Disorders & Laboratory of Molecular Psychiatry and NeurogeneticsUniversity “Campus Bio‐Medico”RomeItaly
| | - Ignazio Stefano Piras
- Service for Neurodevelopmental Disorders & Laboratory of Molecular Psychiatry and NeurogeneticsUniversity “Campus Bio‐Medico”RomeItaly
- Neurogenomics DivisionThe Translational Genomics Research InstitutePhoenixArizonaUSA
| | - Laura Turriziani
- Interdepartmental Program "Autism 0‐90", "G. Martino" University Hospital of MessinaMessinaItaly
| | - Arianna Ricciardello
- Interdepartmental Program "Autism 0‐90", "G. Martino" University Hospital of MessinaMessinaItaly
| | | | - Antonio M. Persico
- Child and Adolescent Neuropsychiatry Program, Modena University Hospital & Department of Biomedical, Metabolic and Neural SciencesUniversity of Modena and Reggio EmiliaModenaItaly
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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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3
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Asta L, Persico AM. Differential Predictors of Response to Early Start Denver Model vs. Early Intensive Behavioral Intervention in Young Children with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis. Brain Sci 2022; 12:1499. [PMID: 36358426 PMCID: PMC9688546 DOI: 10.3390/brainsci12111499] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/23/2022] [Accepted: 10/27/2022] [Indexed: 08/12/2023] Open
Abstract
The effectiveness of early intensive interventions for Autism Spectrum Disorder (ASD) is now well-established, but there continues to be great interindividual variability in treatment response. The purpose of this systematic review is to identify putative predictors of response to two different approaches in behavioral treatment: Early Intensive Behavioral Interventions (EIBI) and the Early Start Denver Model (ESDM). Both are based upon the foundations of Applied Behavioral Analysis (ABA), but the former is more structured and therapist-driven, while the latter is more naturalistic and child-driven. Four databases (EmBase, PubMed, Scopus and WebOfScience) were systematically screened, and an additional search was conducted in the reference lists of relevant articles. Studies were selected if participants were children with ASD aged 12-48 months at intake, receiving either EIBI or ESDM treatment. For each putative predictor, p-values from different studies were combined using Fisher's method. Thirteen studies reporting on EIBI and eleven on ESDM met the inclusion criteria. A higher IQ at intake represents the strongest predictor of positive response to EIBI, while a set of social cognitive skills, including intention to communicate, receptive and expressive language, and attention to faces, most consistently predict response to ESDM. Although more research will be necessary to reach definitive conclusions, these findings begin to shed some light on patient characteristics that are predictive of preferential response to EIBI and ESDM, and may provide clinically useful information to begin personalizing treatment.
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Affiliation(s)
| | - Antonio M. Persico
- Child & Adolescent Neuropsychiatry Program, Modena University Hospital, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
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Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe. Transl Psychiatry 2022; 12:442. [PMID: 36220808 PMCID: PMC9553897 DOI: 10.1038/s41398-022-02203-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/08/2022] Open
Abstract
Genetic testing has evolved rapidly over recent years and new developments have the potential to provide insights that could improve the ability to diagnose, treat, and prevent diseases. Information obtained through genetic testing has proven useful in other specialties, such as cardiology and oncology. Nonetheless, a range of barriers impedes techniques, such as whole-exome or whole-genome sequencing, pharmacogenomics, and polygenic risk scoring, from being implemented in psychiatric practice. These barriers may be procedural (e.g., limitations in extrapolating results to the individual level), economic (e.g., perceived relatively elevated costs precluding insurance coverage), or related to clinicians' knowledge, attitudes, and practices (e.g., perceived unfavorable cost-effectiveness, insufficient understanding of probability statistics, and concerns regarding genetic counseling). Additionally, several ethical concerns may arise (e.g., increased stigma and discrimination through exclusion from health insurance). Here, we provide an overview of potential barriers for the implementation of genetic testing in psychiatry, as well as an in-depth discussion of strategies to address these challenges.
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From Genes to Therapy in Autism Spectrum Disorder. Genes (Basel) 2022; 13:genes13081377. [PMID: 36011288 PMCID: PMC9407279 DOI: 10.3390/genes13081377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/19/2022] [Indexed: 02/04/2023] Open
Abstract
In recent years, findings from genetic and other biological studies are starting to reveal the role of various molecular mechanisms that contribute to the etiology of ASD [...]
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Abstract
PURPOSE OF REVIEW There are currently no approved medications for the core symptoms of autism spectrum disorder (ASD), and only limited data on the management of co-occurring mental health and behavioural symptoms. The purpose of this review is to synthesize recent trials on novel treatments in ASD, with a focus on research trends in the past 2 years. RECENT FINDINGS No new pharmacologic agents received regulatory approval for use in ASD. Several large randomized controlled trials (RCTs) had negative or ambiguous results (e.g. fluoxetine, oxytocin). A cross-over RCT of an oral cannabinoid suggested possible benefits for disruptive behaviours. Two large-scale multicentre trials of bumetanide were terminated early for lack of efficacy. Multicenter trials using repetitive transcranial magnetic stimulation are underway. Recent meta-analyses indicate that specific behavioural and psychological interventions can support social communication and treat anxiety. Numerous novel treatment targets informed by biological mechanisms are under investigation. SUMMARY Recent data support the use of behavioural and psychological interventions for social communication and anxiety in ASD; data are more limited regarding pharmacotherapy for core and associated symptoms. Next steps include replication of early findings, trials of new molecular targets, and the identification of novel biomarkers, including genetic predictors, of treatment response.
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Affiliation(s)
- Danielle Baribeau
- University of Toronto
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Jacob Vorstman
- University of Toronto
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Evdokia Anagnostou
- University of Toronto
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
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Cable J, Purcell RH, Robinson E, Vorstman JAS, Chung WK, Constantino JN, Sanders SJ, Sahin M, Dolmetsch RE, Shah B, Thurm A, Martin CL, Bearden CE, Mulle JG. Harnessing rare variants in neuropsychiatric and neurodevelopment disorders-a Keystone Symposia report. Ann N Y Acad Sci 2021; 1506:5-17. [PMID: 34342000 PMCID: PMC8688183 DOI: 10.1111/nyas.14658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 06/14/2021] [Indexed: 11/28/2022]
Abstract
Neurodevelopmental neuropsychiatric disorders, such as autism spectrum disorder and schizophrenia, have strong genetic risk components, but the underlying mechanisms have proven difficult to decipher. Rare, high-risk variants may offer an opportunity to delineate the biological mechanisms responsible more clearly for more common idiopathic diseases. Indeed, different rare variants can cause the same behavioral phenotype, demonstrating genetic heterogeneity, while the same rare variant can cause different behavioral phenotypes, demonstrating variable expressivity. These observations suggest convergent underlying biological and neurological mechanisms; identification of these mechanisms may ultimately reveal new therapeutic targets. At the 2021 Keystone eSymposium "Neuropsychiatric and Neurodevelopmental Disorders: Harnessing Rare Variants" a panel of experts in the field described significant progress in genomic discovery and human phenotyping and raised several consistent issues, including the need for detailed natural history studies of rare disorders, the challenges in cohort recruitment, and the importance of viewing phenotypes as quantitative traits that are impacted by rare variants.
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Affiliation(s)
| | - Ryan H. Purcell
- Department of Cell Biology, Emory University School of Medicine, Atlanta, Georgia
| | - Elise Robinson
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Jacob A. S. Vorstman
- Department of Psychiatry and The Centre for Applied Genomics, Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, New York
- Simons Foundation, New York, New York
| | - John N. Constantino
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Stephan J. Sanders
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA
| | - Mustafa Sahin
- Rosamund Stone Zander Translational Neuroscience Center, F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Bina Shah
- Project 8p Foundation, Commission on Novel Technologies for Neurodevelopmental CNVs, New York, New York
| | - Audrey Thurm
- Neurodevelopmental and Behavioral Phenotyping, NIMH, National Institutes of Health, Bethesda, Maryland
| | - Christa L. Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | - Carrie E. Bearden
- Integrative Center for Neurogenetics, Departments of Psychiatry and Biobehavioral Science and Psychology, University of California Los Angeles, Los Angeles, California
| | - Jennifer G. Mulle
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
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8
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Vorstman J, Scherer SW. What a finding of gene copy number variation can add to the diagnosis of developmental neuropsychiatric disorders. Curr Opin Genet Dev 2021; 68:18-25. [PMID: 33454514 DOI: 10.1016/j.gde.2020.12.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 11/26/2022]
Abstract
Among medical disciplines, diagnosis in psychiatry depends highly upon descriptive signs and symptoms, rather than biomarkers. Clear descriptions of specific genetic etiologies have been lacking; genomic technologies, however, are rapidly changing that landscape. Notably, chromosomal microarrays-which detect gene copy number variants (CNVs)-are a recommended standard of care for neurodevelopmental disorders. As a result, an increasing number of patients now receive a clinical diagnosis based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and an identified genetic etiological variant. However, psychiatric and genetic diagnoses are frequently communicated and managed as two disconnected diagnostic parameters. Here, we advocate for a transition model, allowing the integration of genetic etiological information-starting with diagnostically proven CNVs-within the DSM-5 classification framework.
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Affiliation(s)
- Jacob Vorstman
- Department of Psychiatry, Hospital for Sick Children University of Toronto, Toronto, ON, Canada; Program in Genetics and Genome Biology, Hospital for Sick Children, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Canada
| | - Stephen W Scherer
- Program in Genetics and Genome Biology, Hospital for Sick Children, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Canada; McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Canada.
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9
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Leach PT, Crawley JN. Touchscreen learning deficits in Ube3a, Ts65Dn and Mecp2 mouse models of neurodevelopmental disorders with intellectual disabilities. GENES, BRAIN, AND BEHAVIOR 2018; 17:e12452. [PMID: 29266714 PMCID: PMC6013336 DOI: 10.1111/gbb.12452] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 11/29/2017] [Accepted: 12/16/2017] [Indexed: 12/25/2022]
Abstract
Mutant mouse models of neurodevelopmental disorders with intellectual disabilities provide useful translational research tools, especially in cases where robust cognitive deficits are reproducibly detected. However, motor, sensory and/or health issues consequent to the mutation may introduce artifacts that preclude testing in some standard cognitive assays. Touchscreen learning and memory tasks in small operant chambers have the potential to circumvent these confounds. Here we use touchscreen visual discrimination learning to evaluate performance in the maternally derived Ube3a mouse model of Angelman syndrome, the Ts65Dn trisomy mouse model of Down syndrome, and the Mecp2Bird mouse model of Rett syndrome. Significant deficits in acquisition of a 2-choice visual discrimination task were detected in both Ube3a and Ts65Dn mice. Procedural control measures showed no genotype differences during pretraining phases or during acquisition. Mecp2 males did not survive long enough for touchscreen training, consistent with previous reports. Most Mecp2 females failed on pretraining criteria. Significant impairments on Morris water maze spatial learning were detected in both Ube3a and Ts65Dn, replicating previous findings. Abnormalities on rotarod in Ube3a, and on open field in Ts65Dn, replicating previous findings, may have contributed to the observed acquisition deficits and swim speed abnormalities during water maze performance. In contrast, these motor phenotypes do not appear to have affected touchscreen procedural abilities during pretraining or visual discrimination training. Our findings of slower touchscreen learning in 2 mouse models of neurodevelopmental disorders with intellectual disabilities indicate that operant tasks offer promising outcome measures for the preclinical discovery of effective pharmacological therapeutics.
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Affiliation(s)
- P T Leach
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, California
| | - J N Crawley
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, California
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10
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11
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Yeh E, Weiss LA. If genetic variation could talk: What genomic data may teach us about the importance of gene expression regulation in the genetics of autism. Mol Cell Probes 2016; 30:346-356. [PMID: 27751841 DOI: 10.1016/j.mcp.2016.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 10/09/2016] [Accepted: 10/13/2016] [Indexed: 11/25/2022]
Abstract
Autism spectrum disorder (ASD) has been long known to have substantial genetic etiology. Much research has attempted to identify specific genes contributing to ASD risk with the goal of tying gene function to a molecular pathological explanation for ASD. A unifying molecular pathology would potentially increase understanding of what is going wrong during development, and could lead to diagnostic biomarkers or targeted preventative or therapeutic directions. We review past and current genetic mapping approaches and discuss major results, leading to the hypothesis that global dysregulation of gene or protein expression may be implicated in ASD rather than disturbance of brain-specific functions. If substantiated, this hypothesis might indicate the need for novel experimental and analytical approaches in order to understand this neurodevelopmental disorder, develop biomarkers, or consider treatment approaches.
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Affiliation(s)
- Erika Yeh
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Lauren A Weiss
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94143, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94143, USA.
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12
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Abstract
Despite the progress made in understanding the biology of autism spectrum disorder (ASD), effective biological interventions for the core symptoms remain elusive. Because of the etiological heterogeneity of ASD, identification of a "one-size-fits-all" treatment approach will likely continue to be challenging. A meeting was convened at the University of Missouri and the Thompson Center to discuss strategies for stratifying patients with ASD for the purpose of moving toward precision medicine. The "white paper" presented here articulates the challenges involved and provides suggestions for future solutions.
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Kazdoba TM, Leach PT, Crawley JN. Behavioral phenotypes of genetic mouse models of autism. GENES, BRAIN, AND BEHAVIOR 2016; 15:7-26. [PMID: 26403076 PMCID: PMC4775274 DOI: 10.1111/gbb.12256] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 08/27/2015] [Accepted: 09/18/2015] [Indexed: 12/11/2022]
Abstract
More than a hundred de novo single gene mutations and copy-number variants have been implicated in autism, each occurring in a small subset of cases. Mutant mouse models with syntenic mutations offer research tools to gain an understanding of the role of each gene in modulating biological and behavioral phenotypes relevant to autism. Knockout, knockin and transgenic mice incorporating risk gene mutations detected in autism spectrum disorder and comorbid neurodevelopmental disorders are now widely available. At present, autism spectrum disorder is diagnosed solely by behavioral criteria. We developed a constellation of mouse behavioral assays designed to maximize face validity to the types of social deficits and repetitive behaviors that are central to an autism diagnosis. Mouse behavioral assays for associated symptoms of autism, which include cognitive inflexibility, anxiety, hyperactivity, and unusual reactivity to sensory stimuli, are frequently included in the phenotypic analyses. Over the past 10 years, we and many other laboratories around the world have employed these and additional behavioral tests to phenotype a large number of mutant mouse models of autism. In this review, we highlight mouse models with mutations in genes that have been identified as risk genes for autism, which work through synaptic mechanisms and through the mTOR signaling pathway. Robust, replicated autism-relevant behavioral outcomes in a genetic mouse model lend credence to a causal role for specific gene contributions and downstream biological mechanisms in the etiology of autism.
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Affiliation(s)
- T. M. Kazdoba
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, CA, USA
| | - P. T. Leach
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, CA, USA
| | - J. N. Crawley
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, CA, USA
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Kazdoba TM, Leach PT, Yang M, Silverman JL, Solomon M, Crawley JN. Translational Mouse Models of Autism: Advancing Toward Pharmacological Therapeutics. Curr Top Behav Neurosci 2016; 28:1-52. [PMID: 27305922 PMCID: PMC5116923 DOI: 10.1007/7854_2015_5003] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Animal models provide preclinical tools to investigate the causal role of genetic mutations and environmental factors in the etiology of autism spectrum disorder (ASD). Knockout and humanized knock-in mice, and more recently knockout rats, have been generated for many of the de novo single gene mutations and copy number variants (CNVs) detected in ASD and comorbid neurodevelopmental disorders. Mouse models incorporating genetic and environmental manipulations have been employed for preclinical testing of hypothesis-driven pharmacological targets, to begin to develop treatments for the diagnostic and associated symptoms of autism. In this review, we summarize rodent behavioral assays relevant to the core features of autism, preclinical and clinical evaluations of pharmacological interventions, and strategies to improve the translational value of rodent models of autism.
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Affiliation(s)
- Tatiana M Kazdoba
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA
| | - Prescott T Leach
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA
| | - Mu Yang
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA
| | - Jill L Silverman
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA
| | - Marjorie Solomon
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA
| | - Jacqueline N Crawley
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Room 1001A Research 2 Building 96, 4625 2nd Avenue, Sacramento, CA 95817, USA.
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Yoo H. Genetics of Autism Spectrum Disorder: Current Status and Possible Clinical Applications. Exp Neurobiol 2015; 24:257-72. [PMID: 26713075 PMCID: PMC4688327 DOI: 10.5607/en.2015.24.4.257] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 12/02/2015] [Accepted: 12/02/2015] [Indexed: 12/18/2022] Open
Abstract
Autism spectrum disorder (ASD) is one of the most complex behavioral disorders with a strong genetic influence. The objectives of this article are to review the current status of genetic research in ASD, and to provide information regarding the potential candidate genes, mutations, and genetic loci possibly related to pathogenesis in ASD. Investigations on monogenic causes of ASD, candidate genes among common variants, rare de novo mutations, and copy number variations are reviewed. The current possible clinical applications of the genetic knowledge and their future possibilities are highlighted.
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Affiliation(s)
- Heejeong Yoo
- Department of Psychiatry, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 13620, Korea
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16
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Sacco R, Gabriele S, Persico AM. Head circumference and brain size in autism spectrum disorder: A systematic review and meta-analysis. Psychiatry Res 2015; 234:239-51. [PMID: 26456415 DOI: 10.1016/j.pscychresns.2015.08.016] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 08/25/2015] [Indexed: 11/29/2022]
Abstract
Macrocephaly and brain overgrowth have been associated with autism spectrum disorder. We performed a systematic review and meta-analysis to provide an overall estimate of effect size and statistical significance for both head circumference and total brain volume in autism. Our literature search strategy identified 261 and 391 records, respectively; 27 studies defining percentages of macrocephalic patients and 44 structural brain imaging studies providing total brain volumes for patients and controls were included in our meta-analyses. Head circumference was significantly larger in autistic compared to control individuals, with 822/5225 (15.7%) autistic individuals displaying macrocephaly. Structural brain imaging studies measuring brain volume estimated effect size. The effect size is higher in low functioning autistics compared to high functioning and ASD individuals. Brain overgrowth was recorded in 142/1558 (9.1%) autistic patients. Finally, we found a significant interaction between age and total brain volume, resulting in larger head circumference and brain size during early childhood. Our results provide conclusive effect sizes and prevalence rates for macrocephaly and brain overgrowth in autism, confirm the variation of abnormal brain growth with age, and support the inclusion of this endophenotype in multi-biomarker diagnostic panels for clinical use.
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Affiliation(s)
- Roberto Sacco
- Unit of Child and Adolescent NeuroPsychiatry, Laboratory of Molecular Psychiatry and Neurogenetics, University "Campus Bio-Medico", Rome, Italy.
| | - Stefano Gabriele
- Unit of Child and Adolescent NeuroPsychiatry, Laboratory of Molecular Psychiatry and Neurogenetics, University "Campus Bio-Medico", Rome, Italy
| | - Antonio M Persico
- Unit of Child and Adolescent NeuroPsychiatry, Laboratory of Molecular Psychiatry and Neurogenetics, University "Campus Bio-Medico", Rome, Italy; Mafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy
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17
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Abstract
Autism spectrum disorder (ASD) is a complex behavioral condition with onset during early childhood and a lifelong course in the vast majority of cases. To date, no behavioral, genetic, brain imaging, or electrophysiological test can specifically validate a clinical diagnosis of ASD. However, these medical procedures are often implemented in order to screen for syndromic forms of the disorder (i.e., autism comorbid with known medical conditions). In the last 25 years a good deal of information has been accumulated on the main components of the "endocannabinoid (eCB) system", a rather complex ensemble of lipid signals ("endocannabinoids"), their target receptors, purported transporters, and metabolic enzymes. It has been clearly documented that eCB signaling plays a key role in many human health and disease conditions of the central nervous system, thus opening the avenue to the therapeutic exploitation of eCB-oriented drugs for the treatment of psychiatric, neurodegenerative, and neuroinflammatory disorders. Here we present a modern view of the eCB system, and alterations of its main components in human patients and animal models relevant to ASD. This review will thus provide a critical perspective necessary to explore the potential exploitation of distinct elements of eCB system as targets of innovative therapeutics against ASD.
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Affiliation(s)
- Bhismadev Chakrabarti
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Antonio Persico
- Center of Integrated Research and School of Medicine, Campus Bio-Medico University of Rome, Via Alvaro del Portillo 21, 00128, Rome, Italy
- Mafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy
| | - Natalia Battista
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Mauro Maccarrone
- Center of Integrated Research and School of Medicine, Campus Bio-Medico University of Rome, Via Alvaro del Portillo 21, 00128, Rome, Italy.
- European Center for Brain Research (CERC)/Santa Lucia Foundation, Rome, Italy.
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18
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Persico AM, Arango C, Buitelaar JK, Correll CU, Glennon JC, Hoekstra PJ, Moreno C, Vitiello B, Vorstman J, Zuddas A. Unmet needs in paediatric psychopharmacology: Present scenario and future perspectives. Eur Neuropsychopharmacol 2015; 25:1513-31. [PMID: 26166453 DOI: 10.1016/j.euroneuro.2015.06.009] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Revised: 05/17/2015] [Accepted: 06/12/2015] [Indexed: 12/20/2022]
Abstract
Paediatric psychopharmacology holds great promise in two equally important areas of enormous biomedical and social impact, namely the treatment of behavioural abnormalities in children and adolescents, and the prevention of psychiatric disorders with adolescent- or adult-onset. Yet, in striking contrast, pharmacological treatment options presently available in child and adolescent psychiatry are dramatically limited. The most important currently unmet needs in paediatric psychopharmacology are: the frequent off-label prescription of medications to children and adolescents based exclusively on data from randomized controlled studies involving adult patients; the frequent lack of age-specific dose, long-term efficacy and tolerability/safety data; the lack of effective medications for many paediatric psychiatric disorders, most critically autism spectrum disorder; the scarcity and limitations of randomized placebo-controlled trials in paediatric psychopharmacology; the unexplored potential for the prevention of psychiatric disorders with adolescent- and adult-onset; the current lack of biomarkers to predict treatment response and severe adverse effects; the need for better preclinical data to foster the successful development of novel drug therapies; and the effective dissemination of evidence-based treatments to the general public, to better inform patients and families of the benefits and risks of pharmacological interventions during development. Priorities and strategies are proposed to overcome some of these limitations, including the European Child and Adolescent Clinical Psychopharmacology Network, as an overarching Pan-European infrastructure aimed at reliably carrying out much needed psychopharmacological trials in children and adolescents, in order to fill the identified gaps and improve overall outcomes.
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Affiliation(s)
- Antonio M Persico
- Child & Adolescent NeuroPsychiatry Unit, University Campus Bio-Medico, Rome, Italy; Mafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy.
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, and Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Christoph U Correll
- Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, USA
| | - Jeffrey C Glennon
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, and Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center, Groningen, The Netherlands
| | - Carmen Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | | | - Jacob Vorstman
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Alessandro Zuddas
- Dept. Biomedical Sciences, Child & Adolescent NeuroPsychiatry Unit, University of Cagliari, Cagliari, Italy
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19
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A review of physical growth in children and adolescents with Autism Spectrum Disorder. DEVELOPMENTAL REVIEW 2015. [DOI: 10.1016/j.dr.2015.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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20
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Perinatal Influences of Valproate on Brain and Behaviour: An Animal Model for Autism. Curr Top Behav Neurosci 2015; 29:363-386. [PMID: 26510739 DOI: 10.1007/7854_2015_404] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Valproic acid or valproate (VPA) is an anti-convulsant and mood stabiliser effective in treating epilepsy and bipolar disorders. Although in adults VPA is well tolerated and safe, there is convincing evidence that it has teratogenic properties, ranging from mild neurodevelopmental changes to severe congenital malformations. In particular, studies involving humans and other animals have shown that prenatal exposure to VPA can induce developmental abnormalities reminiscent of autism spectrum disorder (ASD). In this chapter, we discuss the connection between VPA and ASD, evaluate the VPA animal model of ASD, and describe the possible molecular mechanisms underlying VPA's teratogenic properties.
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21
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Steckler T, Spooren W, Murphy D. Autism spectrum disorders--an emerging area in psychopharmacology. Psychopharmacology (Berl) 2014; 231:977-8. [PMID: 24481571 DOI: 10.1007/s00213-014-3460-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Thomas Steckler
- Janssen Research & Development, Turnhoutseweg 30, 2340, Beerse, Belgium,
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22
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Ruggeri B, Sarkans U, Schumann G, Persico AM. Biomarkers in autism spectrum disorder: the old and the new. Psychopharmacology (Berl) 2014; 231:1201-16. [PMID: 24096533 DOI: 10.1007/s00213-013-3290-7] [Citation(s) in RCA: 118] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Accepted: 09/07/2013] [Indexed: 12/21/2022]
Abstract
RATIONALE Autism spectrum disorder (ASD) is a complex heterogeneous neurodevelopmental disorder with onset during early childhood and typically a life-long course. The majority of ASD cases stems from complex, 'multiple-hit', oligogenic/polygenic underpinnings involving several loci and possibly gene-environment interactions. These multiple layers of complexity spur interest into the identification of biomarkers able to define biologically homogeneous subgroups, predict autism risk prior to the onset of behavioural abnormalities, aid early diagnoses, predict the developmental trajectory of ASD children, predict response to treatment and identify children at risk for severe adverse reactions to psychoactive drugs. OBJECTIVES The present paper reviews (a) similarities and differences between the concepts of 'biomarker' and 'endophenotype', (b) established biomarkers and endophenotypes in autism research (biochemical, morphological, hormonal, immunological, neurophysiological and neuroanatomical, neuropsychological, behavioural), (c) -omics approaches towards the discovery of novel biomarker panels for ASD, (d) bioresource infrastructures and (e) data management for biomarker research in autism. RESULTS Known biomarkers, such as abnormal blood levels of serotonin, oxytocin, melatonin, immune cytokines and lymphocyte subtypes, multiple neuropsychological, electrophysiological and brain imaging parameters, will eventually merge with novel biomarkers identified using unbiased genomic, epigenomic, transcriptomic, proteomic and metabolomic methods, to generate multimarker panels. Bioresource infrastructures, data management and data analysis using artificial intelligence networks will be instrumental in supporting efforts to identify these biomarker panels. CONCLUSIONS Biomarker research has great heuristic potential in targeting autism diagnosis and treatment.
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Affiliation(s)
- Barbara Ruggeri
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK
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23
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Buitelaar JK, Coghill DR. Brain imaging: closing the gap between basic research and clinical application is urgently needed. Eur Child Adolesc Psychiatry 2013; 22:715-7. [PMID: 24297676 DOI: 10.1007/s00787-013-0493-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands,
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