1
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Miller CJ, Golovina E, Wicker JS, Jacobsen JC, O'Sullivan JM. De novo network analysis reveals autism causal genes and developmental links to co-occurring traits. Life Sci Alliance 2023; 6:e202302142. [PMID: 37553252 PMCID: PMC10410065 DOI: 10.26508/lsa.202302142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/10/2023] Open
Abstract
Autism is a complex neurodevelopmental condition that manifests in various ways. Autism is often accompanied by other conditions, such as attention-deficit/hyperactivity disorder and schizophrenia, which can complicate diagnosis and management. Although research has investigated the role of specific genes in autism, their relationship with co-occurring traits is not fully understood. To address this, we conducted a two-sample Mendelian randomisation analysis and identified four genes located at the 17q21.31 locus that are putatively causal for autism in fetal cortical tissue (LINC02210, LRRC37A4P, RP11-259G18.1, and RP11-798G7.6). LINC02210 was also identified as putatively causal for autism in adult cortical tissue. By integrating data from expression quantitative trait loci, genes and protein interactions, we identified that the 17q21.31 locus contributes to the intersection between autism and other neurological traits in fetal cortical tissue. We also identified a distinct cluster of co-occurring traits, including cognition and worry, linked to the genetic loci at 3p21.1. Our findings provide insights into the relationship between autism and co-occurring traits, which could be used to develop predictive models for more accurate diagnosis and better clinical management.
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Affiliation(s)
- Catriona J Miller
- The Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Evgeniia Golovina
- The Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Joerg S Wicker
- School of Computer Science, University of Auckland, Auckland, New Zealand
| | - Jessie C Jacobsen
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand
- Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Justin M O'Sullivan
- The Liggins Institute, The University of Auckland, Auckland, New Zealand
- The Maurice Wilkins Centre, The University of Auckland, Auckland, Zealand
- Garvan Institute of Medical Research, Sydney, Australia
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore, Singapore
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2
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Demler VF, Sterner EF, Wilson M, Zimmer C, Knolle F. Association between increased anterior cingulate glutamate and psychotic-like experiences, but not autistic traits in healthy volunteers. Sci Rep 2023; 13:12792. [PMID: 37550354 PMCID: PMC10406950 DOI: 10.1038/s41598-023-39881-1] [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: 04/14/2023] [Accepted: 08/01/2023] [Indexed: 08/09/2023] Open
Abstract
Despite many differences, autism spectrum disorder and schizophrenia spectrum disorder share environmental risk factors, genetic predispositions as well as neuronal abnormalities, and show similar cognitive deficits in working memory, perspective taking, or response inhibition. These shared abnormalities are already present in subclinical traits of these disorders. The literature proposes that changes in the inhibitory GABAergic and the excitatory glutamatergic system could explain underlying neuronal commonalities and differences. Using magnetic resonance spectroscopy (1H-MRS), we investigated the associations between glutamate concentrations in the anterior cingulate cortex (ACC), the left/right putamen, and left/right dorsolateral prefrontal cortex and psychotic-like experiences (Schizotypal Personality Questionnaire) and autistic traits (Autism Spectrum Quotient) in 53 healthy individuals (26 women). To investigate the contributions of glutamate concentrations in different cortical regions to symptom expression and their interactions, we used linear regression analyses. We found that only glutamate concentration in the ACC predicted psychotic-like experiences, but not autistic traits. Supporting this finding, a binomial logistic regression predicting median-split high and low risk groups for psychotic-like experiences revealed ACC glutamate levels as a significant predictor for group membership. Taken together, this study provides evidence that glutamate levels in the ACC are specifically linked to the expression of psychotic-like experiences, and may be a potential candidate in identifying early risk individuals prone to developing psychotic-like experiences.
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Affiliation(s)
- Verena F Demler
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Elisabeth F Sterner
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Martin Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Franziska Knolle
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
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3
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Komatsu H, Ono T, Onouchi Y, Onoguchi G, Maita Y, Ishida Y, Maki T, Oba A, Tomita H, Kakuto Y. Polydipsia and autistic traits in patients with schizophrenia spectrum disorders. Front Psychiatry 2023; 14:1205138. [PMID: 37484674 PMCID: PMC10359144 DOI: 10.3389/fpsyt.2023.1205138] [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: 04/13/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction Polydipsia, prevalent in 6%-20% of patients with schizophrenia, results in seclusion and prolonged hospitalization. It is also observed in autistic individuals, with previous studies reporting that autism accounted for 20% of all hospitalized patients with polydipsia. The current study investigated the association between polydipsia and autistic traits in patients with schizophrenia spectrum disorders (SSDs) based on the hypothesis that higher autistic traits would be observed in schizophrenic patients with polydipsia. Methods In the first study (study A), the autism-spectrum quotient [(AQ); Japanese version] scores of long-stay inpatients with and without polydipsia were compared. Furthermore, the association between polydipsia and autistic traits was also examined in short-stay inpatients and outpatients with SSDs (study B). Results Study A showed that patients with polydipsia scored significantly higher on the three AQ subscales (attention switching; communication; and imagination) compared to those without. Study B also showed that patients with polydipsia had significantly higher AQ scores overall and for several subscales compared to those without polydipsia. Binary logistic regression analysis of the combined sample showed that male gender and higher autistic traits were significant predictors of polydipsia. Discussion The study highlights the importance of focusing on such traits to understand the pathogenesis of polydipsia in SSD patients.
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Affiliation(s)
- Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Miyagi Psychiatric Center, Natori, Japan
| | | | | | - Goh Onoguchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | | | | | | | - Akiko Oba
- Miyagi Psychiatric Center, Natori, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshihisa Kakuto
- Miyagi Psychiatric Center, Natori, Japan
- Department of Community Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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4
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Obi-Nagata K, Suzuki N, Miyake R, MacDonald ML, Fish KN, Ozawa K, Nagahama K, Okimura T, Tanaka S, Kano M, Fukazawa Y, Sweet RA, Hayashi-Takagi A. Distorted neurocomputation by a small number of extra-large spines in psychiatric disorders. SCIENCE ADVANCES 2023; 9:eade5973. [PMID: 37294752 PMCID: PMC10256173 DOI: 10.1126/sciadv.ade5973] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 05/05/2023] [Indexed: 06/11/2023]
Abstract
Human genetics strongly support the involvement of synaptopathy in psychiatric disorders. However, trans-scale causality linking synapse pathology to behavioral changes is lacking. To address this question, we examined the effects of synaptic inputs on dendrites, cells, and behaviors of mice with knockdown of SETD1A and DISC1, which are validated animal models of schizophrenia. Both models exhibited an overrepresentation of extra-large (XL) synapses, which evoked supralinear dendritic and somatic integration, resulting in increased neuronal firing. The probability of XL spines correlated negatively with working memory, and the optical prevention of XL spine generation restored working memory impairment. Furthermore, XL synapses were more abundant in the postmortem brains of patients with schizophrenia than in those of matched controls. Our findings suggest that working memory performance, a pivotal aspect of psychiatric symptoms, is shaped by distorted dendritic and somatic integration via XL spines.
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Affiliation(s)
- Kisho Obi-Nagata
- Laboratory for Multi-scale Biological Psychiatry, Center for Brain Science, RIKEN, 2-1 Hirosawa, Wako City, Saitama 351-0106, Japan
- Gunma University Graduate School of Medicine, Maebashi City, Gunma 371-8512, Japan
| | - Norimitsu Suzuki
- Laboratory for Multi-scale Biological Psychiatry, Center for Brain Science, RIKEN, 2-1 Hirosawa, Wako City, Saitama 351-0106, Japan
| | - Ryuhei Miyake
- Laboratory for Multi-scale Biological Psychiatry, Center for Brain Science, RIKEN, 2-1 Hirosawa, Wako City, Saitama 351-0106, Japan
| | - Matthew L. MacDonald
- Departments of Psychiatry, Neurology, Statistics, and Neurobiology, Translational Neuroscience Program, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15213, USA
| | - Kenneth N. Fish
- Departments of Psychiatry, Neurology, Statistics, and Neurobiology, Translational Neuroscience Program, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15213, USA
| | - Katsuya Ozawa
- Laboratory for Multi-scale Biological Psychiatry, Center for Brain Science, RIKEN, 2-1 Hirosawa, Wako City, Saitama 351-0106, Japan
| | - Kenichiro Nagahama
- Department of Neurophysiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan
| | - Tsukasa Okimura
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo 157-8577, Japan
| | - Shoji Tanaka
- Department of Information and Communication Sciences, Sophia University, 7-1 Kioicho, Chiyoda-ku, Tokyo 102-8554, Japan
| | - Masanobu Kano
- Department of Neurophysiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan
| | - Yugo Fukazawa
- Division of Brain Structure and Function, Faculty of Medical Science, University of Fukui, Yoshida, Fukui, 910-1193, Japan
| | - Robert A. Sweet
- Departments of Psychiatry, Neurology, Statistics, and Neurobiology, Translational Neuroscience Program, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15213, USA
| | - Akiko Hayashi-Takagi
- Laboratory for Multi-scale Biological Psychiatry, Center for Brain Science, RIKEN, 2-1 Hirosawa, Wako City, Saitama 351-0106, Japan
- Gunma University Graduate School of Medicine, Maebashi City, Gunma 371-8512, Japan
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5
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Falkovich R, Danielson EW, Perez de Arce K, Wamhoff EC, Strother J, Lapteva AP, Sheng M, Cottrell JR, Bathe M. A synaptic molecular dependency network in knockdown of autism- and schizophrenia-associated genes revealed by multiplexed imaging. Cell Rep 2023; 42:112430. [PMID: 37099425 DOI: 10.1016/j.celrep.2023.112430] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/29/2023] [Accepted: 04/08/2023] [Indexed: 04/27/2023] Open
Abstract
The complex functions of neuronal synapses depend on their tightly interconnected protein network, and their dysregulation is implicated in the pathogenesis of autism spectrum disorders and schizophrenia. However, it remains unclear how synaptic molecular networks are altered biochemically in these disorders. Here, we apply multiplexed imaging to probe the effects of RNAi knockdown of 16 autism- and schizophrenia-associated genes on the simultaneous joint distribution of 10 synaptic proteins, observing several protein composition phenotypes associated with these risk genes. We apply Bayesian network analysis to infer hierarchical dependencies among eight excitatory synaptic proteins, yielding predictive relationships that can only be accessed with single-synapse, multiprotein measurements performed simultaneously in situ. Finally, we find that central features of the network are affected similarly across several distinct gene knockdowns. These results offer insight into the convergent molecular etiology of these widespread disorders and provide a general framework to probe subcellular molecular networks.
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Affiliation(s)
- Reuven Falkovich
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Eric W Danielson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Karen Perez de Arce
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eike-C Wamhoff
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Juliana Strother
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anna P Lapteva
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Morgan Sheng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey R Cottrell
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School Initiative for RNA Medicine, Harvard University, Cambridge, MA, USA.
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6
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Kisaretova P, Tsybko A, Bondar N, Reshetnikov V. Molecular Abnormalities in BTBR Mice and Their Relevance to Schizophrenia and Autism Spectrum Disorders: An Overview of Transcriptomic and Proteomic Studies. Biomedicines 2023; 11:biomedicines11020289. [PMID: 36830826 PMCID: PMC9953015 DOI: 10.3390/biomedicines11020289] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/22/2023] Open
Abstract
Animal models of psychopathologies are of exceptional interest for neurobiologists because these models allow us to clarify molecular mechanisms underlying the pathologies. One such model is the inbred BTBR strain of mice, which is characterized by behavioral, neuroanatomical, and physiological hallmarks of schizophrenia (SCZ) and autism spectrum disorders (ASDs). Despite the active use of BTBR mice as a model object, the understanding of the molecular features of this strain that cause the observed behavioral phenotype remains insufficient. Here, we analyzed recently published data from independent transcriptomic and proteomic studies on hippocampal and corticostriatal samples from BTBR mice to search for the most consistent aberrations in gene or protein expression. Next, we compared reproducible molecular signatures of BTBR mice with data on postmortem samples from ASD and SCZ patients. Taken together, these data helped us to elucidate brain-region-specific molecular abnormalities in BTBR mice as well as their relevance to the anomalies seen in ASDs or SCZ in humans.
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Affiliation(s)
- Polina Kisaretova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Pirogova Street 2, Novosibirsk 630090, Russia
| | - Anton Tsybko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
| | - Natalia Bondar
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
| | - Vasiliy Reshetnikov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Biotechnology, Sirius University of Science and Technology, 1 Olympic Avenue, Sochi 354340, Russia
- Correspondence:
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7
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Hall MB, Willis DE, Rodriguez EL, Schwarz JM. Maternal immune activation as an epidemiological risk factor for neurodevelopmental disorders: Considerations of timing, severity, individual differences, and sex in human and rodent studies. Front Neurosci 2023; 17:1135559. [PMID: 37123361 PMCID: PMC10133487 DOI: 10.3389/fnins.2023.1135559] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 03/13/2023] [Indexed: 05/02/2023] Open
Abstract
Epidemiological evidence suggests that one's risk of being diagnosed with a neurodevelopmental disorder (NDD)-such as autism, ADHD, or schizophrenia-increases significantly if their mother had a viral or bacterial infection during the first or second trimester of pregnancy. Despite this well-known data, little is known about how developing neural systems are perturbed by events such as early-life immune activation. One theory is that the maternal immune response disrupts neural processes important for typical fetal and postnatal development, which can subsequently result in specific and overlapping behavioral phenotypes in offspring, characteristic of NDDs. As such, rodent models of maternal immune activation (MIA) have been useful in elucidating neural mechanisms that may become dysregulated by MIA. This review will start with an up-to-date and in-depth, critical summary of epidemiological data in humans, examining the association between different types of MIA and NDD outcomes in offspring. Thereafter, we will summarize common rodent models of MIA and discuss their relevance to the human epidemiological data. Finally, we will highlight other factors that may interact with or impact MIA and its associated risk for NDDs, and emphasize the importance for researchers to consider these when designing future human and rodent studies. These points to consider include: the sex of the offspring, the developmental timing of the immune challenge, and other factors that may contribute to individual variability in neural and behavioral responses to MIA, such as genetics, parental age, the gut microbiome, prenatal stress, and placental buffering.
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8
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Colizzi M, Bortoletto R, Costa R, Bhattacharyya S, Balestrieri M. The Autism-Psychosis Continuum Conundrum: Exploring the Role of the Endocannabinoid System. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5616. [PMID: 35565034 PMCID: PMC9105053 DOI: 10.3390/ijerph19095616] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/01/2022] [Accepted: 05/03/2022] [Indexed: 02/07/2023]
Abstract
Evidence indicates shared physiopathological mechanisms between autism and psychosis. In this regard, the endocannabinoid system has been suggested to modulate neural circuits during the early stage of neurodevelopment, with implications for both autism and psychosis. Nevertheless, such potential common markers of disease have been investigated in both autism and psychosis spectrum disorders, without considering the conundrum of differentiating the two groups of conditions in terms of diagnosis and treatment. Here, we systematically review all human and animal studies examining the endocannabinoid system and its biobehavioral correlates in the association between autism and psychosis. Studies indicate overlapping biobehavioral aberrancies between autism and schizophrenia, subject to correction by modulation of the endocannabinoid system. In addition, common cannabinoid-based pharmacological strategies have been identified, exerting epigenetic effects across genes controlling neural mechanisms shared between autism and schizophrenia. Interestingly, a developmental and transgenerational trajectory between autism and schizophrenia is supported by evidence that exogenous alteration of the endocannabinoid system promotes progression to inheritable psychosis phenotypes in the context of biobehavioral autism vulnerability. However, evidence for a diametral association between autism and psychosis is scant. Several clinical implications follow from evidence of a developmental continuum between autism and psychosis as a function of the endocannabinoid system dysregulation.
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Affiliation(s)
- Marco Colizzi
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, 33100 Udine, Italy;
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK;
| | - Riccardo Bortoletto
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy;
| | - Rosalia Costa
- Community Mental Health Team, Friuli Centrale University Health Service (ASUFC), 33057 Palmanova, Italy;
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK;
| | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, 33100 Udine, Italy;
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9
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Prats C, Fatjó-Vilas M, Penzol MJ, Kebir O, Pina-Camacho L, Demontis D, Crespo-Facorro B, Peralta V, González-Pinto A, Pomarol-Clotet E, Papiol S, Parellada M, Krebs MO, Fañanás L. Association and epistatic analysis of white matter related genes across the continuum schizophrenia and autism spectrum disorders: The joint effect of NRG1-ErbB genes. World J Biol Psychiatry 2022; 23:208-218. [PMID: 34338147 DOI: 10.1080/15622975.2021.1939155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Schizophrenia-spectrum disorders (SSD) and Autism spectrum disorders (ASD) are neurodevelopmental disorders that share clinical, cognitive, and genetic characteristics, as well as particular white matter (WM) abnormalities. In this study, we aimed to investigate the role of a set of oligodendrocyte/myelin-related (OMR) genes and their epistatic effect on the risk for SSD and ASD. METHODS We examined 108 SNPs in a set of 22 OMR genes in 1749 subjects divided into three independent samples (187 SSD trios, 915 SSD cases/control, and 91 ASD trios). Genetic association and gene-gene interaction analyses were conducted with PLINK and MB-MDR, and permutation procedures were implemented in both. RESULTS Some OMR genes showed an association trend with SSD, while after correction, the ones that remained significantly associated were MBP, ERBB3, and AKT1. Significant gene-gene interactions were found between (i) NRG1*MBP (perm p-value = 0.002) in the SSD trios sample, (ii) ERBB3*AKT1 (perm p-value = 0.001) in the SSD case-control sample, and (iii) ERBB3*QKI (perm p-value = 0.0006) in the ASD trios sample. DISCUSSION Our results suggest the implication of OMR genes in the risk for both SSD and ASD and highlight the role of NRG1 and ERBB genes. These findings are in line with the previous evidence and may suggest pathophysiological mechanisms related to NRG1/ERBBs signalling in these disorders.
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Affiliation(s)
- C Prats
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigació Biomèdica de Bellvitge, Hospital Duran i Reynals, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Fatjó-Vilas
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - M J Penzol
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - O Kebir
- INSERM, U1266, Laboratory "Pathophysiology of psychiatric disorders", Institute of psychiatry and neurosciences of Paris, Paris, France.,GHU Psychiatrie et Neurosciences de Paris, Paris, France
| | - L Pina-Camacho
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - D Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH, Aarhus, Denmark
| | - B Crespo-Facorro
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,University Hospital Virgen del Rocio, IbiS Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
| | - V Peralta
- Gerencia de Salud Mental, Servicio Navarro de Salud-Osasunbidea, Pamplona, Navarra, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Navarra, Spain
| | - A González-Pinto
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Psychiatry Service, University Hospital of Alava-Santiago, EMBREC, EHU/UPV University of the Basque Country, Kronikgune, Vitoria, Spain
| | - E Pomarol-Clotet
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - S Papiol
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - M Parellada
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - M O Krebs
- INSERM, U1266, Laboratory "Pathophysiology of psychiatric disorders", Institute of psychiatry and neurosciences of Paris, Paris, France.,University Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine Paris Descartes, Service Hospitalo-Universitaire, Centre Hospitalier Sainte-Anne, Paris, France
| | - L Fañanás
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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10
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Jutla A, Foss-Feig J, Veenstra-VanderWeele J. Autism spectrum disorder and schizophrenia: An updated conceptual review. Autism Res 2022; 15:384-412. [PMID: 34967130 PMCID: PMC8931527 DOI: 10.1002/aur.2659] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/08/2021] [Accepted: 12/12/2021] [Indexed: 12/19/2022]
Abstract
Autism spectrum disorder (ASD) and schizophrenia (SCZ) are separate disorders, with distinct clinical profiles and natural histories. ASD, typically diagnosed in childhood, is characterized by restricted or repetitive interests or behaviors and impaired social communication, and it tends to have a stable course. SCZ, typically diagnosed in adolescence or adulthood, is characterized by hallucinations and delusions, and tends to be associated with declining function. However, youth with ASD are three to six times more likely to develop SCZ than their neurotypical counterparts, and increasingly, research has shown that ASD and SCZ converge at several levels. We conducted a systematic review of studies since 2013 relevant to understanding this convergence, and present here a narrative synthesis of key findings, which we have organized into four broad categories: symptoms and behavior, perception and cognition, biomarkers, and genetic and environmental risk. We then discuss opportunities for future research into the phenomenology and neurobiology of overlap between ASD and SCZ. Understanding this overlap will allow for researchers, and eventually clinicians, to understand the factors that may make a child with ASD vulnerable to developing SCZ. LAY SUMMARY: Autism spectrum disorder and schizophrenia are distinct diagnoses, but people with autism and people with schizophrena share several characteristics. We review recent studies that have examined these areas of overlap, and discuss the kinds of studies we will need to better understand how these disorders are related. Understanding this will be important to help us identify which autistic children are at risk of developing schizophrenia.
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Affiliation(s)
- Amandeep Jutla
- Columbia University Vagelos College of Physicians and
Surgeons, 630 W 168th St, New York, NY 10032, United States,New York State Psychiatric Institute, 1051 Riverside
Drive, Mail Unit 78, New York, NY 10032, United States
| | - Jennifer Foss-Feig
- Seaver Autism Center for Research and Treatment, Icahn
School of Medicine at Mount Sinai, Department of Psychiatry, 1 Gustave L. Levy
Place, Box 1230, New York, NY 10029, United States
| | - Jeremy Veenstra-VanderWeele
- Columbia University Vagelos College of Physicians and
Surgeons, 630 W 168th St, New York, NY 10032, United States,New York State Psychiatric Institute, 1051 Riverside
Drive, Mail Unit 78, New York, NY 10032, United States,Center for Autism and the Developing Brain, New
York-Presbyterian Westchester Behavioral Health Center, 21 Bloomingdale Road, White
Plains, NY 10605, United States
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11
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Ribolsi M, Fiori Nastro F, Pelle M, Medici C, Sacchetto S, Lisi G, Riccioni A, Siracusano M, Mazzone L, Di Lorenzo G. Recognizing Psychosis in Autism Spectrum Disorder. Front Psychiatry 2022; 13:768586. [PMID: 35295770 PMCID: PMC8918655 DOI: 10.3389/fpsyt.2022.768586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 02/03/2022] [Indexed: 11/15/2022] Open
Abstract
There is strong evidence for the existence of a high comorbidity between autism and psychosis with percentages reaching up to 34. 8% and several significant implications for treatment and prognosis of these patients. However, the identification of comorbid psychosis in patients with Autism Spectrum Disorder represents a complex challenge from a psychopathological point of view, in particular in patients with greater deficits in verbal communication. Intercepting the onset of a psychotic breakdown in autism may be very difficult, both disorders in fact occur along a phenotypic continuum of clinical severity and in many cases, psychotic symptoms are present in an attenuated form. In this paper, we reviewed the available scientific literature about comorbidity between psychosis and autism, focusing our attention on four specific dimensions: delusions, hallucinations, negative symptoms, and clinical course. The aim of this paper is to provide clinical tools to identify these psychotic phenomena in autistic patients, even when they occur in their attenuated form.
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Affiliation(s)
- Michele Ribolsi
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy
| | - Federico Fiori Nastro
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Psychiatry and Clinical Psychology Unit, Fondazione Policlinico Tor Vergata, Rome, Italy
| | - Martina Pelle
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Psychiatry and Clinical Psychology Unit, Fondazione Policlinico Tor Vergata, Rome, Italy
| | - Caterina Medici
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Psychiatry and Clinical Psychology Unit, Fondazione Policlinico Tor Vergata, Rome, Italy
| | - Silvia Sacchetto
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Psychiatry and Clinical Psychology Unit, Fondazione Policlinico Tor Vergata, Rome, Italy
| | - Giulia Lisi
- Department of Mental Health, Azienda Sanitaria Locale (ASL) Roma 1, Rome, Italy
| | - Assia Riccioni
- Child Neurology and Psychiatry Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Martina Siracusano
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Luigi Mazzone
- Child Neurology and Psychiatry Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Giorgio Di Lorenzo
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Psychiatry and Clinical Psychology Unit, Fondazione Policlinico Tor Vergata, Rome, Italy.,IRCCS-Fondazione Santa Lucia, Rome, Italy
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12
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Nibbio G, Barlati S, Calzavara-Pinton I, Necchini N, Invernizzi E, Dell'Ovo D, Lisoni J, Deste G, Vita A. Assessment and correlates of autistic symptoms in Schizophrenia Spectrum Disorders measured with the PANSS Autism Severity Score: A systematic review. Front Psychiatry 2022; 13:934005. [PMID: 36111306 PMCID: PMC9468543 DOI: 10.3389/fpsyt.2022.934005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/12/2022] [Indexed: 02/02/2023] Open
Abstract
Schizophrenia Spectrum Disorders (SSD) and Autism Spectrum Disorders (ASD) are considered separate entities, but the two spectra share important similarities, and the study of these areas of overlap represents a field of growing scientific interest. The PANSS Autism Score (PAUSS) was recently developed specifically to assess autistic symptoms in people living with SSD reliably and quickly. The aims of the present systematic review were to provide a comprehensive assessment of the use of the PAUSS scale in available literature and to systematically analyze cognitive, functional and neurobiological correlates of autistic symptoms measured with this instrument in SSD. The systematic literature search included three electronic databases (PubMed, Scopus and PsycINFO) as well as a manual search in Google Scholar and in reference lists of included papers. Screening and extraction were conducted by at least two independent reviewers. Out of 213 identified records, 22 articles referring to 15 original studies were included in the systematic review. Studies were conducted in several different countries by independent groups, showing consistent scientific interest in the use of the scale; most works focused on cognitive and functional correlates of ASD symptoms, but some also considered neurobiological features. Results of included studies showed that autistic symptoms in people with SSD are consistently associated with worse cognitive performance, especially in the social cognition domain, and with worse psychosocial functioning. However, the presence of autistic symptoms appears to also have a protective role, particularly on functioning, in subjects with more severe psychotic symptoms. Further exploring the impact of autistic symptoms could be of significant scientific and clinical interest, allowing the development of tailored interventions to improve treatment for people living with SSDs.
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Affiliation(s)
- Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- 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
| | | | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elena Invernizzi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Dario Dell'Ovo
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Giacomo Deste
- 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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13
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Priol AC, Denis L, Boulanger G, Thépaut M, Geoffray MM, Tordjman S. Detection of Morphological Abnormalities in Schizophrenia: An Important Step to Identify Associated Genetic Disorders or Etiologic Subtypes. Int J Mol Sci 2021; 22:ijms22179464. [PMID: 34502372 PMCID: PMC8430486 DOI: 10.3390/ijms22179464] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/06/2021] [Indexed: 12/20/2022] Open
Abstract
Current research suggests that alterations in neurodevelopmental processes, involving gene X environment interactions during key stages of brain development (prenatal period and adolescence), are a major risk for schizophrenia. First, epidemiological studies supporting a genetic contribution to schizophrenia are presented in this article, including family, twin, and adoption studies. Then, an extensive literature review on genetic disorders associated with schizophrenia is reviewed. These epidemiological findings and clinical observations led researchers to conduct studies on genetic associations in schizophrenia, and more specifically on genomics (CNV: copy-number variant, and SNP: single nucleotide polymorphism). The main structural (CNV) and sequence (SNP) variants found in individuals with schizophrenia are reported here. Evidence of genetic contributions to schizophrenia and current knowledge on genetic syndromes associated with this psychiatric disorder highlight the importance of a clinical genetic examination to detect minor physical anomalies in individuals with ultra-high risk of schizophrenia. Several dysmorphic features have been described in schizophrenia, especially in early onset schizophrenia, and can be viewed as neurodevelopmental markers of vulnerability. Early detection of individuals with neurodevelopmental abnormalities is a fundamental issue to develop prevention and diagnostic strategies, therapeutic intervention and follow-up, and to ascertain better the underlying mechanisms involved in the pathophysiology of schizophrenia.
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Affiliation(s)
- Anne-Clémence Priol
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
- Correspondence: (A.-C.P.); (S.T.); Tel.: +33-2-99-51-06-04 (A.-C.P. & S.T.); Fax: +33-2-99-32-46-98 (A.-C.P. & S.T.)
| | - Laure Denis
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Gaella Boulanger
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Mathieu Thépaut
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Marie-Maude Geoffray
- Department of Child and Adolescent Psychiatry, Centre Hospitalier Le Vinatier, 69500 Bron, France;
| | - Sylvie Tordjman
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
- CIC (Clinical Investigation Center) 1414 Inserm, Centre Hospitalier Universitaire (CHU) de Rennes, University of Rennes 1, 35033 Rennes, France
- Integrative Neuroscience and Cognition Center (INCC), CNRS UMR 8002, University of Paris, 75006 Paris, France
- Correspondence: (A.-C.P.); (S.T.); Tel.: +33-2-99-51-06-04 (A.-C.P. & S.T.); Fax: +33-2-99-32-46-98 (A.-C.P. & S.T.)
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14
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Syed AAS, He L, Shi Y, Mahmood S. Elevated levels of IL-18 associated with schizophrenia and first episode psychosis: A systematic review and meta-analysis. Early Interv Psychiatry 2021; 15:896-905. [PMID: 32902142 DOI: 10.1111/eip.13031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 06/24/2020] [Accepted: 08/02/2020] [Indexed: 12/15/2022]
Abstract
AIM To determine whether interleukin 18 (IL-18) is elevated in the blood of schizophrenia (SCZ) and first episode psychosis patients, as well as investigate whether this potential relationship is causal. METHOD We conducted a systematic review and meta-analysis of IL-18 levels in the blood of SCZ patients, comprising of both chronic and first episode psychosis (FEP) cohorts. To investigate causality, we undertook the two-sample Mendelian randomization (MR) study. RESULTS A total of eight studies were included in our meta-analysis, our results did indeed show an association between elevated levels of IL-18 and SCZ compared to healthy controls (Z = 3.50, P = .0005). This association remained significant in subsequent subgroup analyses for chronic (Z = 3.15, P = .002) and achieved borderline significance in FEP (Z = 1.93, P = .05) SCZ. Our MR analysis failed to detect any causal relationship between IL-18 levels and SCZ. CONCLUSION The results of our study demonstrate that even though IL-18 levels are elevated in SCZ patients, IL-18 levels do not seem to cause of the disorder itself. Our findings suggest that IL-18 may have utility as a biomarker of SCZ and aid in research into the early intervention of the disease.
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Affiliation(s)
- Ali Alamdar Shah Syed
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Center for Women and Children's Health, Shanghai, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Shahid Mahmood
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
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15
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Mazza M, Pino MC, Keller R, Vagnetti R, Attanasio M, Filocamo A, Le Donne I, Masedu F, Valenti M. Qualitative Differences in Attribution of Mental States to Other People in Autism and Schizophrenia: What are the Tools for Differential Diagnosis? J Autism Dev Disord 2021; 52:1283-1298. [PMID: 33909212 PMCID: PMC8854268 DOI: 10.1007/s10803-021-05035-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2021] [Indexed: 11/26/2022]
Abstract
The differential diagnosis between schizophrenia spectrum disorders (SSD) and autism spectrum disorders (ASD) remains an important clinical question, because they have overlap in clinical diagnosis. This study explored the differences between ASD (n = 44) and SSD patients (n = 59), compared to typically developing peers (n = 63), in completing an advanced Theory of Mind (ToM) task. The outcome found several differences between groups. The SSD patients showed greater difficulty in understanding social scenarios, while ASD individuals understood the stories, but did not correctly identify the protagonist’s intention. The interesting aspect of the results is that some ToM stories are more informative about the mentalistic reasoning of the two clinical groups, namely, the stories that investigate pretend, persuasion, double bluff and ironic joke constructs.
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Affiliation(s)
- Monica Mazza
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
| | - Maria Chiara Pino
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
| | - Roberto Keller
- Reference Centre for Adult Autism of the Piemonte Region, DSM Local Health Unit ASL Città di Torino, Turin, Italy
| | - Roberto Vagnetti
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
| | - Margherita Attanasio
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
| | - Angela Filocamo
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
| | - Ilenia Le Donne
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
| | - Francesco Masedu
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
| | - Marco Valenti
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio, Località Coppito, 67100 L’Aquila, Italy
- Reference Centre for Autism of the Abruzzo Region, Local Health Unit ASL 1, L’Aquila, Italy
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16
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Levy G, Barak B. Postnatal therapeutic approaches in genetic neurodevelopmental disorders. Neural Regen Res 2021; 16:414-422. [PMID: 32985459 PMCID: PMC7996025 DOI: 10.4103/1673-5374.293133] [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] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 02/28/2020] [Accepted: 03/28/2020] [Indexed: 12/16/2022] Open
Abstract
Genetic neurodevelopmental disorders are characterized by abnormal neurophysiological and behavioral phenotypes, affecting individuals worldwide. While the subject has been heavily researched, current treatment options relate mostly to alleviating symptoms, rather than targeting the altered genome itself. In this review, we address the neurogenetic basis of neurodevelopmental disorders, genetic tools that are enabling precision research of these disorders in animal models, and postnatal gene-therapy approaches for neurodevelopmental disorders derived from preclinical studies in the laboratory.
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Affiliation(s)
- Gilad Levy
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Boaz Barak
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
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17
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Zhang C, Xu L, Zheng X, Liu S, Che F. Role of Ash1l in Tourette syndrome and other neurodevelopmental disorders. Dev Neurobiol 2020; 81:79-91. [PMID: 33258273 PMCID: PMC8048680 DOI: 10.1002/dneu.22795] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 11/27/2020] [Indexed: 02/06/2023]
Abstract
Ash1l potentially contributes to neurodevelopmental diseases. Although specific Ash1l mutations are rare, they have led to informative studies in animal models that may bring therapeutic advances. Ash1l is highly expressed in the brain and correlates with the neuropathology of Tourette syndrome (TS), autism spectrum disorder, and intellectual disability during development, implicating shared epigenetic factors and overlapping neuropathological mechanisms. Functional convergence of Ash1l generated several significant signaling pathways: chromatin remodeling and transcriptional regulation, protein synthesis and cellular metabolism, and synapse development and function. Here, we systematically review the literature on Ash1l, including its discovery, expression, function, regulation, implication in the nervous system, signaling pathway, mutations, and putative involvement in TS and other neurodevelopmental traits. Such findings highlight Ash1l pleiotropy and the necessity of transcending a single gene to complicated mechanisms of network convergence underlying these diseases. With the progress in functional genomic analysis (highlighted in this review), and although the importance and necessity of Ash1l becomes increasingly apparent in the medical field, further research is required to discover the precise function and molecular regulatory mechanisms related to Ash1l. Thus, a new perspective is proposed for basic scientific research and clinical interventions for cross‐disorder diseases.
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Affiliation(s)
- Cheng Zhang
- Department of Neurology, The Eleventh Clinical Medical College of Qingdao University, Linyi People's Hospital, Linyi, China
| | - Lulu Xu
- Department of Geriatric Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xueping Zheng
- Department of Geriatric Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shiguo Liu
- Medical Genetic Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Fengyuan Che
- Department of Neurology, The Eleventh Clinical Medical College of Qingdao University, Linyi People's Hospital, Linyi, China
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18
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Vita A, Barlati S, Deste G, Rocca P, Rossi A, Bertolino A, Aguglia E, Amore M, Bellomo A, Biondi M, Carpiniello B, Collantoni E, Cuomo A, D'Ambrosio E, Dell' Osso L, di Giannantonio M, Giordano GM, Marchesi C, Monteleone P, Montemagni C, Oldani L, Pompili M, Roncone R, Rossi R, Siracusano A, Zeppegno P, Nibbio G, Galderisi S, Maj M. The influence of autistic symptoms on social and non-social cognition and on real-life functioning in people with schizophrenia: Evidence from the Italian Network for Research on Psychoses multicenter study. Eur Psychiatry 2020; 63:e98. [PMID: 33168115 PMCID: PMC7737172 DOI: 10.1192/j.eurpsy.2020.99] [Citation(s) in RCA: 14] [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] [Indexed: 12/27/2022] Open
Abstract
Background Autism spectrum disorders (ASDs) and schizophrenia spectrum disorders (SSDs), although conceptualized as separate entities, may share some clinical and neurobiological features. ASD symptoms may have a relevant role in determining a more severe clinical presentation of schizophrenic disorder but their relationships with cognitive aspects and functional outcomes of the disease remain to be addressed in large samples of individuals. Aims To investigate the clinical, cognitive, and functional correlates of ASD symptoms in a large sample of people diagnosed with schizophrenia. Methods The severity of ASD symptoms was measured with the PANSS Autism Severity Scale (PAUSS) in 921 individuals recruited for the Italian Network for Research on Psychoses multicenter study. Based on the PAUSS scores, three groups of subjects were compared on a wide array of cognitive and functional measures. Results Subjects with more severe ASD symptoms showed a poorer performance in the processing speed (p = 0.010), attention (p = 0.011), verbal memory (p = 0.035), and social cognition (p = 0.001) domains, and an overall lower global cognitive composite score (p = 0.010). Subjects with more severe ASD symptoms also showed poorer functional capacity (p = 0.004), real-world interpersonal relationships (p < 0.001), and participation in community-living activities (p < 0.001). Conclusions These findings strengthen the notion that ASD symptoms may have a relevant impact on different aspects of the disease, crucial to the life of people with schizophrenia. Prominent ASD symptoms may characterize a specific subpopulation of individuals with SSD.
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Affiliation(s)
- Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Giacomo Deste
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandro Bertolino
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Eugenio Aguglia
- Department of Clinical and Molecular Biomedicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Antonello Bellomo
- Psychiatry Unit, Department of Medical Sciences, University of Foggia, Foggia, Italy
| | - Massimo Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Enrico Collantoni
- Psychiatric Clinic, Department of Neurosciences, University of Padua, Padua, Italy
| | - Alessandro Cuomo
- Department of Molecular Medicine and Clinical Department of Mental Health, University of Siena, Siena, Italy
| | - Enrico D'Ambrosio
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Liliana Dell' Osso
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | - Carlo Marchesi
- Department of Neuroscience, Psychiatry Unit, University of Parma, Parma, Italy
| | - Palmiero Monteleone
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Section of Neuroscience, University of Salerno, Salerno, Italy
| | - Cristiana Montemagni
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Lucio Oldani
- Department of Psychiatry, University of Milan, Milan, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, S. Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Rita Roncone
- Unit of Psychiatry, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Rodolfo Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alberto Siracusano
- Department of Systems Medicine, Psychiatry and Clinical Psychology Unit, Tor Vergata University of Rome, Rome, Italy
| | - Patrizia Zeppegno
- Department of Translational Medicine, Psychiatric Unit, University of Eastern Piedmont, Novara, Italy
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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19
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Qin Y, Kang J, Jiao Z, Wang Y, Wang J, Wang H, Feng J, Jin L, Wang F, Gong X. Polygenic risk for autism spectrum disorder affects left amygdala activity and negative emotion in schizophrenia. Transl Psychiatry 2020; 10:322. [PMID: 32958750 PMCID: PMC7506524 DOI: 10.1038/s41398-020-01001-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/02/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022] Open
Abstract
Although the diagnoses based on phenomenology have many practical advantages, accumulating evidence shows that schizophrenia and autism spectrum disorder (ASD) share some overlap in genetics and clinical presentation. It remains largely unknown how ASD-associated polygenetic risk contributes to the pathogenesis of schizophrenia. In the present study, we calculated high-resolution ASD polygenic risk scores (ASD PRSs) and selected optimal ten ASD PRS with minimal P values in the association analysis of PRSs, with schizophrenia to assess the effect of ASD PRS on brain neural activity in schizophrenia cases and controls. We found that amplitude of low-frequency fluctuation in left amygdala was positively associated with ASD PRSs in our cohort. Correlation analysis of ASD PRSs with facial emotion recognition test identified the negative correlation of ASD PRSs with negative emotions in schizophrenia cases and controls. Finally, functional enrichment analysis of PRS genes revealed that neural system function and development, as well as signal transduction, were mainly enriched in PRS genes. Our results provide empirical evidence that polygenic risk for ASD contributes to schizophrenia by the intermediate phenotypes of left amygdala function and emotion recognition. It provides a promising strategy to understand the relationship between phenotypes and genotypes shared in mental disorders.
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Affiliation(s)
- Yue Qin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jujiao Kang
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Zeyu Jiao
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Yi Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Human Phoneme Institute, Fudan University, Shanghai, China
| | - Hongyan Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jianfeng Feng
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China ,grid.7372.10000 0000 8809 1613Department of Computer Science, University of Warwick, Coventry, CV4 7AL UK
| | - Li Jin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Fei Wang
- grid.412636.4Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
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20
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Sleep spindle activity in childhood onset schizophrenia: Diminished and associated with clinical symptoms. Schizophr Res 2020; 223:327-336. [PMID: 32980206 PMCID: PMC7704640 DOI: 10.1016/j.schres.2020.08.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 05/24/2020] [Accepted: 08/25/2020] [Indexed: 12/21/2022]
Abstract
Neuroimaging studies of childhood onset schizophrenia (COS), a rare yet severe form of schizophrenia with an onset before the age of 13 years, have shown continuity with adult onset schizophrenia. Previous research in adult patients has shown reduced sleep spindle activity, transient oscillations in the sleep electroencephalogram (EEG) generated through thalamocortical loops. The current study examines sleep spindle activity in patients with COS. Seventeen children and adolescents with COS (16 years ±6.6) underwent overnight sleep EEG recordings. Sleep spindle activity was compared between patients with COS and age and gender matched controls and correlated with clinical symptom severity. We found pronounced deficits in sleep spindle amplitude, duration, density and frequency in patients with COS (effect size = 0.61 to 1.96; dependent on metric and EEG derivation). Non-rapid eye movement (NREM) sleep EEG power and coherence in the sigma band (11-16 Hz) corresponding to spindle activity were also markedly diminished in patients with COS as compared to controls. Furthermore, the degree of deficit in power and coherence of spindles was strongly associated with clinician rated hallucinations and positive symptoms over widespread cortical regions. Our finding of diminished spindle activity and its association with hallucinations likely reflect dysfunction of the thalamocortical circuits in children and adolescents with COS. Given the relative ease of sleep EEG recordings in vulnerable populations, this study highlights the potential of such recordings to characterize brain function in schizophrenia.
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21
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Murphy VA, Shen MD, Kim SH, Cornea E, Styner M, Gilmore JH. Extra-axial Cerebrospinal Fluid Relationships to Infant Brain Structure, Cognitive Development, and Risk for Schizophrenia. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:651-659. [PMID: 32457022 DOI: 10.1016/j.bpsc.2020.03.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 03/13/2020] [Accepted: 03/16/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Increased volume of extra-axial cerebrospinal fluid (EA-CSF) is associated with autism spectrum disorder diagnosis in young children. However, little is known about EA-CSF development in typically developing (TD) children or in children at risk for schizophrenia (SCZHR). METHODS 3T magnetic resonance imaging scans were obtained in TD children (n = 105) and in SCZHR children (n = 38) at 1 and 2 years of age. EA-CSF volume and several measures of brain structure were generated, including global tissue volumes, cortical thickness, and surface area. Cognitive and motor abilities at 1 and 2 years of age were assessed using the Mullen Scales of Early Learning. RESULTS In the TD children, EA-CSF volume was positively associated with total brain volume, gray and white matter volumes, and total surface area at 1 and 2 years of age. In contrast, EA-CSF volume was negatively associated with average cortical thickness. Lower motor ability was associated with increased EA-CSF volume at 1 year of age. EA-CSF was not significantly increased in SCZHR children compared with TD children. CONCLUSIONS EA-CSF volume is positively associated with overall brain size and cortical surface area but negatively associated with cortical thickness. Increased EA-CSF is associated with delayed motor development at 1 year of age, similar to studies of children at risk for autism, suggesting that increased EA-CSF may be an early biomarker of abnormal brain development in infancy. Infants in the SCZHR group did not exhibit significantly increased EA-CSF, suggesting that increased EA-CSF could be specific to neurodevelopmental disorders with an earlier onset, such as autism.
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Affiliation(s)
- Veronica A Murphy
- Curriculum in Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Martin Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
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22
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Foss-Feig JH. Looking Under the Hood of Convergent Behavioral Deficits in Schizophrenia and Autism. Biol Psychiatry 2019; 86:e21-e23. [PMID: 31521210 DOI: 10.1016/j.biopsych.2019.07.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/31/2019] [Indexed: 10/26/2022]
Affiliation(s)
- Jennifer H Foss-Feig
- Department of Psychiatry, Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York.
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23
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Churchward MA, Michaud ER, Todd KG. Supporting microglial niches for therapeutic benefit in psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry 2019; 94:109648. [PMID: 31078613 DOI: 10.1016/j.pnpbp.2019.109648] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/06/2019] [Accepted: 05/08/2019] [Indexed: 12/27/2022]
Abstract
Inflammation is an essential tissue response to injury, stress, or infection resulting in debris and/or pathogen clearance intended to promote healing and recovery. Due to the status as an immune 'privileged' tissue, microglia serve as endogenous regulators of inflammation in the central nervous system, but maintain communication with peripheral immune system to enable recruitment of peripheral immune cells in case of injury or infection. While microglia retain the functional capacity for a full range of inflammatory functions - microglia express a range of pattern-recognition receptors and function as innate immune cells, carry out phagocytosis of pathogens, and act as antigen presenting cells - in the healthy central nervous system (CNS) these functions are rarely engaged. Subsequently microglia are being recognized to occupy an increasing number of homeostatic niches, and in many cases have adopted immune or inflammatory mechanisms to carry out these niche functions absent immune activation. These sterile inflammatory functions are challenging long-held views of the role of inflammation in the central nervous system while simultaneously expanding the potential for the development of truly novel therapeutic interventions for a range of neuroinflammatory, neurodegenerative, and neuropsychiatric disorders. In the present review we discuss recent preclinical evidence for conserved niche functions for microglia whose disruption may causally contribute to various psychiatric disorders, and prospective targets for restoring disrupted niches.
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Affiliation(s)
- M A Churchward
- Neurochemical Research Unit, Department of Psychiatry, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada; Neuroscience and Mental Health Institute, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada.
| | - E R Michaud
- Neurochemical Research Unit, Department of Psychiatry, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada; Neuroscience and Mental Health Institute, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada
| | - K G Todd
- Neurochemical Research Unit, Department of Psychiatry, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada; Neuroscience and Mental Health Institute, Faculty of Medicine, University of Alberta, Edmonton, AB T6G2R3, Canada; Department of Biomedical Engineering, University of Alberta, Edmonton, AB T6G2R3, Canada
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Morioka H, Ijichi S, Ijichi N, Ijichi Y, King BH. Developmental social vulnerability as the intrinsic origin of psychopathology: A paradigm shift from disease entities to psychiatric derivatives within human diversity. Med Hypotheses 2019; 126:95-108. [DOI: 10.1016/j.mehy.2019.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/01/2019] [Accepted: 03/21/2019] [Indexed: 12/28/2022]
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25
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Rice T, Friedman S, Tatum J, Weiss-Goldman N, Kufert Y, Coffey BJ. Optimizing Clozapine Benefit While Minimizing Adverse Effects with Concomitant Fluvoxamine Treatment in an Adolescent with Schizoaffective Disorder. J Child Adolesc Psychopharmacol 2019; 29:66-71. [PMID: 30681385 DOI: 10.1089/cap.2018.29159.bjc] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Timothy Rice
- 1 Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Jasmine Tatum
- 1 Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Yael Kufert
- 1 Icahn School of Medicine at Mount Sinai, New York, New York
| | - Barbara J Coffey
- 2 Department of Psychiatry and Behavioral Science, Miller School of Medicine, University of Miami, Miami, Florida
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26
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Barlati S, Deste G, Gregorelli M, Vita A. Autistic traits in a sample of adult patients with schizophrenia: prevalence and correlates. Psychol Med 2019; 49:140-148. [PMID: 29554995 DOI: 10.1017/s0033291718000600] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Schizophrenia and autism spectrum disorder (ASD) are currently conceptualized as distinct disorders. However, the relationship between these two disorders has been revisited in recent years due to evidence that they share phenotypic and genotypic expressions. This study aimed to identify ASD traits in patients with schizophrenia, and to define their demographic, psychopathological, cognitive and functional correlates. METHOD Seventy-five schizophrenia patients (20 females, mean age 42 ± 12) were evaluated with the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R). Participants were also assessed with clinical, neuropsychological, and psychosocial functioning measures. RESULTS Of the 75 patients, 47 were negative to all the autism scales administered (ADOS-TOT-NEG), 21 patients were positive to the ADOS Language sub-domain (ADOS-L-POS), 21 patients were positive to the ADOS Reciprocal Social Interaction (RSI) sub-domain (ADOS-RSI-POS), 14 patients were positive to the ADOS Total scale (ADOS-TOT-POS), and nine patients were positive to the ADI-R scale (ADI-R-POS). Demographic (duration of illness), psychopathological (negative symptoms and general psychopathology), and cognitive (working memory and processing speed) differences emerged between schizophrenic patients with and without ASD traits, while no differences in psychosocial functioning were detected. Results of this study indicate the existence, in a sample of patients with a diagnosis of schizophrenia, of a distinct group of subjects with ASD features, characterized by specific symptomatological and cognitive profile. CONCLUSIONS These findings may contribute to better characterize patients with schizophrenia in order to develop new procedures and therapeutic tools in a more personalized perspective.
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Affiliation(s)
- S Barlati
- Department of Mental Health,ASST Spedali Civili of Brescia,Italy
| | - G Deste
- Department of Mental Health,ASST Spedali Civili of Brescia,Italy
| | - M Gregorelli
- Center Diagnosis Care and Autism Research (CDRA),ULSS 9 Scaligera,Verona Italy; "Luna" Association Onlus,Brescia,Italy
| | - A Vita
- Department of Mental Health,ASST Spedali Civili of Brescia,Italy
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27
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Deste G, Barlati S, Gregorelli M, Lisoni J, Turrina C, Valsecchi P, Vita A. Looking through autistic features in schizophrenia using the PANSS Autism Severity Score (PAUSS). Psychiatry Res 2018; 270:764-768. [PMID: 30551322 DOI: 10.1016/j.psychres.2018.10.074] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 10/15/2018] [Accepted: 10/28/2018] [Indexed: 02/01/2023]
Abstract
Autism spectrum disorder (ASD) and schizophrenia share several features. However, the assessment of ASD in schizophrenia is difficult. Aim of this study is to investigate the possibility to use the PANSS Autism Severity Score (PAUSS) to recognize autistic features in schizophrenia. The PAUSS was administered to 75 patients with schizophrenia, previously assessed with ASD diagnostic scales. PAUSS total scores were higher in patients with ASD, compared to those without ASD. Patients with PAUSS score higher than the cut-off proposed for ASD showed specific neuropsychological and functional characteristics. The PAUSS may be useful to identify patients with schizophrenia autistic features.
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Affiliation(s)
- Giacomo Deste
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy.
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Michela Gregorelli
- Center Diagnosis Care and Autism Research (CDRA), ULSS 9 Scaligera, Luna Association Onlus, Verona Italy, Brescia, Italy
| | - Jacopo Lisoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Cesare Turrina
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Paolo Valsecchi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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28
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Porokhovnik LN, Lyapunova NA. Dosage effects of human ribosomal genes (rDNA) in health and disease. Chromosome Res 2018; 27:5-17. [PMID: 30343462 DOI: 10.1007/s10577-018-9587-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Revised: 09/07/2018] [Accepted: 09/24/2018] [Indexed: 02/02/2023]
Abstract
Human ribosomal RNA genes encoding a pre-transcript of the three major ribosomal RNA (18S, 5.8S, and 28S rRNA) are tandemly repeated in human genome. Their total copy number varies from 250 to 670 per diploid genome with a mean of approximately 420 copies, but only a fraction of them is transcriptionally active. The functional consequences of human ribosomal RNA gene dosage are not widely known and often assumed to be negligible. Here, we review the facts of rRNA gene dosage effects on normal growth and aging, stress resistance of healthy individuals, and survivability of patients with chromosomal abnormalities, as well as on the risk and severity of some multifactorial diseases with proven genetic predisposition. An original hypothesis that rRNA gene dosage can be a modulating factor involved in the pathogenesis of schizophrenia and rheumatoid arthritis is put forward.
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Affiliation(s)
- L N Porokhovnik
- Research Centre for Medical Genetics, 1 Moskvorechie str, Moscow, 115478, Russia.
| | - N A Lyapunova
- Research Centre for Medical Genetics, 1 Moskvorechie str, Moscow, 115478, Russia
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29
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Paula-Pérez I. Convergencias y divergencias genéticas, neurobiológicas y ambientales entre el autismo y el espectro de la esquizofrenia. ANUARIO DE PSICOLOGÍA 2018. [DOI: 10.1016/j.anpsic.2018.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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30
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Fu Z, Tu Y, Di X, Du Y, Sui J, Biswal BB, Zhang Z, de Lacy N, Calhoun VD. Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. Neuroimage 2018; 190:191-204. [PMID: 29883735 DOI: 10.1016/j.neuroimage.2018.06.003] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 05/31/2018] [Accepted: 06/03/2018] [Indexed: 11/19/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with social communication deficits and restricted/repetitive behaviors and is characterized by large-scale atypical subcortical-cortical connectivity, including impaired resting-state functional connectivity between thalamic and sensory regions. Previous studies have typically focused on the abnormal static connectivity in ASD and overlooked potential valuable dynamic patterns in brain connectivity. However, resting-state brain connectivity is indeed highly dynamic, and abnormalities in dynamic brain connectivity have been widely identified in psychiatric disorders. In this study, we investigated the dynamic functional network connectivity (dFNC) between 51 intrinsic connectivity networks in 170 individuals with ASD and 195 age-matched typically developing (TD) controls using independent component analysis and a sliding window approach. A hard clustering state analysis and a fuzzy meta-state analysis were conducted respectively, for the exploration of local and global aberrant dynamic connectivity patterns in ASD. We examined the group difference in dFNC between thalamic and sensory networks in each functional state and group differences in four high-dimensional dynamic measures. The results showed that compared with TD controls, individuals with ASD show an increase in transient connectivity between hypothalamus/subthalamus and some sensory networks (right postcentral gyrus, bi paracentral lobule, and lingual gyrus) in certain functional states, and diminished global meta-state dynamics of the whole-brain functional network. In addition, these atypical dynamic patterns are significantly associated with autistic symptoms indexed by the Autism Diagnostic Observation Schedule. These converging results support and extend previous observations regarding hyperconnectivity between thalamic and sensory regions and stable whole-brain functional configuration in ASD. Dynamic brain connectivity may serve as a potential biomarker of ASD and further investigation of these dynamic patterns might help to advance our understanding of behavioral differences in this complex neurodevelopmental disorder.
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Affiliation(s)
- Zening Fu
- The Mind Research Network, Albuquerque, NM, USA; School of Biomedical Engineering, Shenzhen University, Shenzhen, China.
| | - Yiheng Tu
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; School of Biomedical Engineering, Shenzhen University, Shenzhen, China
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Yuhui Du
- The Mind Research Network, Albuquerque, NM, USA; School of Computer & Information Technology, Shanxi University, Taiyuan, China
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Zhiguo Zhang
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China
| | - N de Lacy
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - V D Calhoun
- The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
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Tordjman S, Cohen D, Anderson G, Botbol M, Canitano R, Coulon N, Roubertoux P. Repint of “Reframing autism as a behavioral syndrome and not a specific mental disorder: Implications of genetic and phenotypic heterogeneity”. Neurosci Biobehav Rev 2018; 89:132-150. [DOI: 10.1016/j.neubiorev.2018.01.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/18/2016] [Accepted: 01/23/2017] [Indexed: 12/22/2022]
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32
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Yurov YB, Vorsanova SG, Demidova IA, Kolotii AD, Soloviev IV, Iourov IY. Mosaic Brain Aneuploidy in Mental Illnesses: An Association of Low-level Post-zygotic Aneuploidy with Schizophrenia and Comorbid Psychiatric Disorders. Curr Genomics 2018; 19:163-172. [PMID: 29606903 PMCID: PMC5850504 DOI: 10.2174/1389202918666170717154340] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 11/18/2016] [Accepted: 01/16/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Postzygotic chromosomal variation in neuronal cells is hypothesized to make a substantial contribution to the etiology and pathogenesis of neuropsychiatric disorders. However, the role of somatic genome instability and mosaic genome variations in common mental illnesses is a matter of conjecture. MATERIALS AND METHODS To estimate the pathogenic burden of somatic chromosomal mutations, we determined the frequency of mosaic aneuploidy in autopsy brain tissues of subjects with schizophrenia and other psychiatric disorders (intellectual disability comorbid with autism spectrum disorders). Recently, post-mortem brain tissues of subjects with schizophrenia, intellectual disability and unaffected controls were analyzed by Interphase Multicolor FISH (MFISH), Quantitative Fluorescent in situ Hybridization (QFISH) specially designed to register rare mosaic chromosomal mutations such as lowlevel aneuploidy (whole chromosome mosaic deletion/duplication). The low-level mosaic aneuploidy in the diseased brain demonstrated significant 2-3-fold frequency increase in schizophrenia (p=0.0028) and 4-fold increase in intellectual disability comorbid with autism (p=0.0037) compared to unaffected controls. Strong associations of low-level autosomal/sex chromosome aneuploidy (p=0.001, OR=19.0) and sex chromosome-specific mosaic aneuploidy (p=0.006, OR=9.6) with schizophrenia were revealed. CONCLUSION Reviewing these data and literature supports the hypothesis suggesting that an association of low-level mosaic aneuploidy with common and, probably, overlapping psychiatric disorders does exist. Accordingly, we propose a pathway for common neuropsychiatric disorders involving increased burden of rare de novo somatic chromosomal mutations manifesting as low-level mosaic aneuploidy mediating local and general brain dysfunction.
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Affiliation(s)
- Yuri B. Yurov
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Svetlana G. Vorsanova
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Irina A. Demidova
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Alexei D. Kolotii
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | | | - Ivan Y. Iourov
- Mental Health Research Center, Moscow, Russian Federation
- Separated Structural Unit “Clinical Research Institute of Pediatrics named after Y.E Veltishev”, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Department of Medical Genetics, Russian Medical Academy of Postgraduate Education, Ministry of Health, Moscow, Russian Federation
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33
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Copy number variants in people with autism spectrum disorders and co-morbid psychosis. Eur J Med Genet 2018; 61:230-234. [DOI: 10.1016/j.ejmg.2017.12.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 10/27/2017] [Accepted: 12/04/2017] [Indexed: 12/11/2022]
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34
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Jones C, Barrera I, Brothers S, Ring R, Wahlestedt C. Oxytocin and social functioning. DIALOGUES IN CLINICAL NEUROSCIENCE 2018. [PMID: 28867943 PMCID: PMC5573563 DOI: 10.31887/dcns.2017.19.2/cjones] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Social anxiety is a form of anxiety characterized by continuous fear of one or more social or performance situations. Although multiple treatment modalities (cognitive behavioral therapy, selective serotonin reuptake inhibitors/selective norepinephrine reuptake inhibitors, benzodiazepines) exist for social anxiety, they are effective for only 60% to 70% of patients. Thus, researchers have looked for other candidates for social anxiety treatment. Our review focuses on the peptide oxytocin as a potential therapeutic option for individuals with social anxiety. Animal research both in nonprimates and primates supports oxytocin's role in facilitation of prosocial behaviors and its anxiolytic effects. Human studies indicate significant associations between social anxiety and oxytocin receptor gene alleles, as well as social anxiety and oxytocin plasma levels. In addition, intranasal administration of oxytocin in humans has favorable effects on social anxiety symptomology. Other disorders, including autism, schizophrenia, and anorexia, have components of social anxiety in their pathophysiology. The therapeutic role of oxytocin for social dysfunction in these disorders is discussed.
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Affiliation(s)
- Candace Jones
- University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ingrid Barrera
- University of Miami Department of Psychiatry and Behavioral Sciences, Miami, Florida, USA
| | - Shaun Brothers
- University of Miami Department of Psychiatry and Behavioral Sciences, Miami, Florida, USA
| | - Robert Ring
- Drexel University Department of Pharmacology and Physiology, Philadelphia, Pennsylvania, USA
| | - Claes Wahlestedt
- University of Miami Department of Psychiatry and Behavioral Sciences, Miami, Florida, USA
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Cauda F, Nani A, Costa T, Palermo S, Tatu K, Manuello J, Duca S, Fox PT, Keller R. The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders. Hum Brain Mapp 2018; 39:1898-1928. [PMID: 29349864 DOI: 10.1002/hbm.23952] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 12/19/2017] [Accepted: 12/28/2017] [Indexed: 12/13/2022] Open
Abstract
By means of a novel methodology that can statistically derive patterns of co-alterations distribution from voxel-based morphological data, this study analyzes the patterns of brain alterations of three important psychiatric spectra-that is, schizophrenia spectrum disorder (SCZD), autistic spectrum disorder (ASD), and obsessive-compulsive spectrum disorder (OCSD). Our analysis provides five important results. First, in SCZD, ASD, and OCSD brain alterations do not distribute randomly but, rather, follow network-like patterns of co-alteration. Second, the clusters of co-altered areas form a net of alterations that can be defined as morphometric co-alteration network or co-atrophy network (in the case of gray matter decreases). Third, within this network certain cerebral areas can be identified as pathoconnectivity hubs, the alteration of which is supposed to enhance the development of neuronal abnormalities. Fourth, within the morphometric co-atrophy network of SCZD, ASD, and OCSD, a subnetwork composed of eleven highly connected nodes can be distinguished. This subnetwork encompasses the anterior insulae, inferior frontal areas, left superior temporal areas, left parahippocampal regions, left thalamus and right precentral gyri. Fifth, the co-altered areas also exhibit a normal structural covariance pattern which overlaps, for some of these areas (like the insulae), the co-alteration pattern. These findings reveal that, similarly to neurodegenerative diseases, psychiatric disorders are characterized by anatomical alterations that distribute according to connectivity constraints so as to form identifiable morphometric co-atrophy patterns.
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Affiliation(s)
- Franco Cauda
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Nani
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy.,Michael Trimble Neuropsychiatry Research Group, University of Birmingham and BSMHFT, Birmingham, UK
| | - Tommaso Costa
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sara Palermo
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Karina Tatu
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center At San Antonio, San Antonio, Texas.,South Texas Veterans Health Care System, San Antonio, Texas
| | - Roberto Keller
- Adult Autism Center, DSM Local Health Unit ASL Citta' Di Torino, Turin, Italy
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Klocke C, Allen JL, Sobolewski M, Mayer-Pröschel M, Blum JL, Lauterstein D, Zelikoff JT, Cory-Slechta DA. Neuropathological Consequences of Gestational Exposure to Concentrated Ambient Fine and Ultrafine Particles in the Mouse. Toxicol Sci 2018; 156:492-508. [PMID: 28087836 DOI: 10.1093/toxsci/kfx010] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Increasing evidence indicates that the central nervous system (CNS) is a target of air pollution. We previously reported that postnatal exposure of mice to concentrated ambient ultrafine particles (UFP; ≤100 nm) via the University of Rochester HUCAPS system during a critical developmental window of CNS development, equivalent to human 3rd trimester, produced male-predominant neuropathological and behavioral characteristics common to multiple neurodevelopmental disorders, including autism spectrum disorder (ASD), in humans. The current study sought to determine whether vulnerability to fine (≤2.5 μm) and UFP air pollution exposure extends to embryonic periods of brain development in mice, equivalent to human 1st and 2nd trimesters. Pregnant mice were exposed 6 h/day from gestational days (GDs) 0.5-16.5 using the New York University VACES system to concentrated ambient fine/ultrafine particles at an average concentration of 92.69 μg/m3 over the course of the exposure period. At postnatal days (PNDs) 11-15, neuropathological consequences were characterized. Gestational air pollution exposures produced ventriculomegaly, increased corpus callosum (CC) area and reduced hippocampal area in both sexes. Both sexes demonstrated CC hypermyelination and increased microglial activation and reduced total CC microglia number. Analyses of iron deposition as a critical component of myelination revealed increased iron deposition in the CC of exposed female offspring, but not in males. These findings demonstrate that vulnerability of the brain to air pollution extends to gestation and produces features of several neurodevelopmental disorders in both sexes. Further, they highlight the importance of the commonalities of components of particulate matter exposures as a source of neurotoxicity and common CNS alterations.
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Affiliation(s)
| | | | | | - Margot Mayer-Pröschel
- Department of Biomedical Genetics, University of Rochester School of Medicine, Rochester, New York 14642
| | - Jason L Blum
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York 10987
| | - Dana Lauterstein
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York 10987
| | - Judith T Zelikoff
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York 10987
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van Schalkwyk GI, Volkmar FR, Corlett PR. A Predictive Coding Account of Psychotic Symptoms in Autism Spectrum Disorder. J Autism Dev Disord 2017; 47:1323-1340. [PMID: 28185044 DOI: 10.1007/s10803-017-3065-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The co-occurrence of psychotic and autism spectrum disorder (ASD) symptoms represents an important clinical challenge. Here we consider this problem in the context of a computational psychiatry approach that has been applied to both conditions-predictive coding. Some symptoms of schizophrenia have been explained in terms of a failure of top-down predictions or an enhanced weighting of bottom-up prediction errors. Likewise, autism has been explained in terms of similar perturbations. We suggest that this theoretical overlap may explain overlapping symptomatology. Experimental evidence highlights meaningful distinctions and consistencies between these disorders. We hypothesize individuals with ASD may experience some degree of delusions without the presence of any additional impairment, but that hallucinations are likely indicative of a distinct process.
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Affiliation(s)
| | - Fred R Volkmar
- Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Philip R Corlett
- Department of Psychiatry, Clinical Neuroscience Research Unit, Connecticut Mental Health Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06510, USA
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38
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Port RG, Gajewski C, Krizman E, Dow HC, Hirano S, Brodkin ES, Carlson GC, Robinson MB, Roberts TPL, Siegel SJ. Protocadherin 10 alters γ oscillations, amino acid levels, and their coupling; baclofen partially restores these oscillatory deficits. Neurobiol Dis 2017; 108:324-338. [PMID: 28844789 DOI: 10.1016/j.nbd.2017.08.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 08/06/2017] [Accepted: 08/22/2017] [Indexed: 11/20/2022] Open
Abstract
Approximately one in 45 children have been diagnosed with Autism Spectrum Disorder (ASD), which is characterized by social/communication impairments. Recent studies have linked a subset of familial ASD to mutations in the Protocadherin 10 (Pcdh10) gene. Additionally, Pcdh10's expression pattern, as well as its known role within protein networks, implicates the gene in ASD. Subsequently, the neurobiology of mice heterozygous for Pcdh10 (Pcdh10+/-) has been investigated as a proxy for ASD. Male Pcdh10+/- mice have demonstrated sex-specific deficits in social behavior, recapitulating the gender bias observed in ASD. Furthermore, in vitro slice preparations of these Pcdh10+/- mice demonstrate selective decreases to high frequency electrophysiological responses, mimicking clinical observations. The direct in vivo ramifications of such decreased in vitro high frequency responses are unclear. As such, Pcdh10+/- mice and their wild-type (WT) littermates underwent in vivo electrocorticography (ECoG), as well as ex vivo amino acid concentration quantification using High Performance Liquid Chromatography (HPLC). Similar to the previously observed reductions to in vitro high frequency electrophysiological responses in Pcdh10+/- mice, male Pcdh10+/- mice exhibited reduced gamma-band (30-80Hz), but not lower frequency (10 and 20Hz), auditory steady state responses (ASSR). In addition, male Pcdh10+/- mice exhibited decreased signal-to-noise-ratio (SNR) for high gamma-band (60-100Hz) activity. These gamma-band perturbations for both ASSR and SNR were not observed in females. Administration of a GABAB agonist remediated these electrophysiological alterations among male Pcdh10+/-mice. Pcdh10+/- mice demonstrated increased concentrations of GABA and glutamine. Of note, a correlation of auditory gamma-band responses with underlying GABA concentrations was observed in WT mice. This correlation was not present in Pcdh10+/- mice. This study demonstrates the role of Pcdh10 in the regulation of excitatory-inhibitory balance as a function of GABA in ASD.
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Affiliation(s)
- Russell G Port
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA; Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Gajewski
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Elizabeth Krizman
- Children's Hospital of Philadelphia Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatric, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Holly C Dow
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Shinji Hirano
- Department of Cell Biology, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka 573-1010, Japan
| | - Edward S Brodkin
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Gregory C Carlson
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Michael B Robinson
- Children's Hospital of Philadelphia Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatric, University of Pennsylvania, Philadelphia, PA 19104, USA; Systems Pharmacology and Experimental Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy P L Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Steven J Siegel
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA.
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Crittenden PM. Formulating autism systemically: Part 1 - A review of the published literature and case assessments. Clin Child Psychol Psychiatry 2017; 22:378-389. [PMID: 28693401 DOI: 10.1177/1359104517713241] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Autism is a psychiatric disorder of unknown aetiology. In this article, the literature on genetic, neurological, psychological, relational and cultural causes of autism is reviewed, beginning with the 2014 review of Crittenden, Dallos, Landini et al. (pp. 64-70) up to and including recent publications in 2017. Some of the findings were unexpected; others led to new questions. The unexpected findings were the minimal contribution of genes to autism, the extremely evident neurological differences, the interpersonal quality of the psychological findings (that lacked evidence of parents' behaviour), the relational evidence that mothers' childhood trauma, perinatal stress and marital stress increased the risk of autism, and the reciprocal relation between funding for treatment of autism and diagnoses of autism. Notably, there was an abundance of genetic studies, numerous neurological studies and only scattered psychological, relational and cultural studies, thus rendering those findings speculative. The new questions included whether mothers used postural/gestural signs to signal their children to maintain distance and whether mothers experienced wariness of males as a result of childhood trauma, with their sons possibly experiencing gender confusion. Following the literature review, a small archival set of video-recorded and transcribed assessments of attachment of cases of autism were examined for evidence to corroborate or refute the psychological and relational findings of the literature review. The findings were striking in their support of mothers' use of postural/gestural communication regarding distance, children's close attention to mothers' bodily signals, without looking at mothers' face, mothers' greater comfort when they approached their sons than when their sons approached them, one boy's lack of verbal self-representation and mothers' childhood triangulation. These became hypotheses regarding what to look for in Part 2 of this article, a prospective, 12-year case study.
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Louzolo A, Gustavsson P, Tigerström L, Ingvar M, Olsson A, Petrovic P. Delusion-proneness displays comorbidity with traits of autistic-spectrum disorders and ADHD. PLoS One 2017; 12:e0177820. [PMID: 28542365 PMCID: PMC5436821 DOI: 10.1371/journal.pone.0177820] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 05/03/2017] [Indexed: 11/24/2022] Open
Abstract
There is an increasing body of evidence suggesting a significant comorbidity between psychotic disorders such as schizophrenia and attention-deficit/hyperactivity disorder (ADHD) or autism-spectrum disorders (ASD). Recently, research on psychosis-proneness in otherwise healthy individuals has been a promising way to better understand the mechanisms underlying psychosis. As both ADHD and ASD symptoms show a normal distribution in the general population, such trait comorbidity may confound studies on psychosis-proneness. Thus, understanding the extent to which psychosis-proneness relates to ADHD and ASD symptoms in healthy subjects is crucial for studies focusing on at-risk or psychosis-prone populations. In the present paper we tested the robustness of overlap between psychosis-proneness and ADHD/ASD symptoms, by studying correlations between the scores of three commonly-used questionnaires assessing delusion-proneness (Peters’ Delusion Inventory), ADHD tendencies (Adult ADHD Self-Report Scale) and ASD tendencies (Autism Quotient), on a large sample of healthy individuals (n = 925) using raw scores, prototypical questions and a factor analysis. The results showed consistently positive correlations between psychosis-proneness and ADHD-, as well as ASD-symptoms. While the effect was weak for ASD, it was moderate for ADHD. The findings support the idea that when investigating psychosis-proneness it is crucial to also take ADHD- and ASD-tendencies into account, in order to conclude that the reported results in a given study are specific to psychosis-proneness. The observed trait correlations also suggest a common pathway in the underlying information processing of these states.
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Affiliation(s)
- Anaïs Louzolo
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- * E-mail:
| | - Petter Gustavsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Tigerström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingvar
- Department of Neuroradiology, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Andreas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Predrag Petrovic
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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41
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Cauda F, Costa T, Nani A, Fava L, Palermo S, Bianco F, Duca S, Tatu K, Keller R. Are schizophrenia, autistic, and obsessive spectrum disorders dissociable on the basis of neuroimaging morphological findings?: A voxel-based meta-analysis. Autism Res 2017; 10:1079-1095. [PMID: 28339164 DOI: 10.1002/aur.1759] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 01/09/2017] [Accepted: 01/10/2017] [Indexed: 12/30/2022]
Abstract
Schizophrenia spectrum disorder (SCZD), autism spectrum disorder (ASD), and obsessive-compulsive spectrum disorder (OCSD) are considered as three separate psychiatric conditions with, supposedly, different brain alterations patterns. From a neuroimaging perspective, this meta-analytic study aimed to address whether this nosographical differentiation is actually supported by different brain patterns of gray matter (GM) or white matter (WM) morphological alterations. We explored two possibilities: (a) to find out whether GM alterations are specific for SCZD, ASD, and OCSD; and (b) to associate the identified brain alteration patterns with cognitive dysfunctions by means of an analysis of lesion decoding. Our analysis reveals that these psychiatric spectra do not present clear distinctive patterns of alterations; rather, they all tend to be distributed in two alteration clusters. Cluster 1, which is more specific for SCZD, includes the anterior insular, anterior cingulate cortex, ventromedial prefrontal cortex, and frontopolar areas, which are parts of the cognitive control system. Cluster 2, which is more specific for OCSD, presents occipital, temporal, and parietal alteration patterns with the involvement of sensorimotor, premotor, visual, and lingual areas, thus forming a network that is more associated with the auditory-visual, auditory, premotor visual somatic functions. In turn, ASD appears to be uniformly distributed in the two clusters. The three spectra share a significant set of alterations. Our new approach promises to provide insight into the understanding of psychiatric conditions under the aspect of a common neurobiological substrate, possibly related to neuroinflammation during brain development. Autism Res 2017. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 1079-1095. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy.,Department of Science, University of Eastern Piedmont, Italy.,Michael Trimble Psychiatric Research Group, University of Birmingham and BSMHFT, Birmingham, UK
| | - Luciano Fava
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy.,Department of Science, University of Eastern Piedmont, Italy
| | - Sara Palermo
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Francesca Bianco
- Adult Autism Center, Local Health Unit DSM ASL TO2, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Karina Tatu
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Roberto Keller
- Adult Autism Center, Local Health Unit DSM ASL TO2, Turin, Italy
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Niu B, Liu P, Shen M, Liu C, Wang L, Wang F, Ma L. GRK5 Regulates Social Behavior Via Suppression of mTORC1 Signaling in Medial Prefrontal Cortex. Cereb Cortex 2017; 28:421-432. [DOI: 10.1093/cercor/bhw364] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 11/01/2016] [Indexed: 01/28/2023] Open
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Tordjman S, Cohen D, Coulon N, Anderson GM, Botbol M, Canitano R, Roubertoux PL. Reframing autism as a behavioral syndrome and not a specific mental disorder: Implications of genetic and phenotypic heterogeneity. Neurosci Biobehav Rev 2017; 80:210. [PMID: 28153685 DOI: 10.1016/j.neubiorev.2017.01.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/18/2016] [Accepted: 01/23/2017] [Indexed: 12/13/2022]
Abstract
Clinical and molecular genetics have advanced current knowledge on genetic disorders associated with autism. A review of diverse genetic disorders associated with autism is presented and for the first time discussed extensively with regard to possible common underlying mechanisms leading to a similar cognitive-behavioral phenotype of autism. The possible role of interactions between genetic and environmental factors, including epigenetic mechanisms, is in particular examined. Finally, the pertinence of distinguishing non-syndromic autism (isolated autism) from syndromic autism (autism associated with genetic disorders) will be reconsidered. Given the high genetic and etiological heterogeneity of autism, autism can be viewed as a behavioral syndrome related to known genetic disorders (syndromic autism) or currently unknown disorders (apparent non-syndromic autism), rather than a specific categorical mental disorder. It highlights the need to study autism phenotype and developmental trajectory through a multidimensional, non-categorical approach with multivariate analyses within autism spectrum disorder but also across mental disorders, and to conduct systematically clinical genetic examination searching for genetic disorders in all individuals (children but also adults) with autism.
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Affiliation(s)
- S Tordjman
- Pôle Hospitalo-Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Université de Rennes 1 and Centre Hospitalier Guillaume Régnier, 154 rue de Châtillon, 35200 Rennes, France; Laboratoire Psychologie de la Perception, Université Paris Descartes and CNRS UMR 8158, Paris, France.
| | - D Cohen
- Department of Child and Adolescent Psychiatry, AP-HP, GH Pitié-Salpétrière, CNRS FRE 2987, Université Pierre et Marie Curie, Paris, France
| | - N Coulon
- Laboratoire Psychologie de la Perception, Université Paris Descartes and CNRS UMR 8158, Paris, France
| | - G M Anderson
- Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - M Botbol
- Departement Hospitalo-Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Université de Bretagne Occidentale, Brest, France
| | - R Canitano
- Division of Child and Adolescent Neuropsychiatry, University Hospital of Siena, Siena, Italy
| | - P L Roubertoux
- Aix Marseille Université, GMGF, Inserm, UMR_S 910, 13385, Marseille, France
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Canitano R, Pallagrosi M. Autism Spectrum Disorders and Schizophrenia Spectrum Disorders: Excitation/Inhibition Imbalance and Developmental Trajectories. Front Psychiatry 2017; 8:69. [PMID: 28507523 PMCID: PMC5410649 DOI: 10.3389/fpsyt.2017.00069] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 04/10/2017] [Indexed: 11/13/2022] Open
Abstract
Autism spectrum disorders (ASD) and schizophrenia spectrum disorders (SSD) share clinical and genetic components that have long been recognized. The two disorders co-occur more frequently than would be predicted by their respective prevalence, suggesting that a complex, multifactor association is involved. However, DSM-5 maintains the distinction between ASD, with core social and communication impairments, and SSD, including schizophrenia (SCZ), with hallucinations, delusions, and thought disorder as essential features. ASD and SSD have common biological underpinnings that may emerge early in development and unfold over time. One of the hypotheses supporting the similarities in the social and cognitive disturbances of ASD and SSD relates to abnormalities in the ratio of excitatory to inhibitory cortical activity (E/I imbalance). E/I imbalance in neurodevelopmental disorders could be the consequence of abnormalities in genes coding for glutamatergic and GABAergic receptors or synaptic proteins followed by system derangements. SSD and ASD have been characterized as polygenic disorders in which to the onset and progression of disease is triggered by interactions among multiple genes. Mammalian target of rapamycin signaling is under intense investigation as a convergent altered pathway in the two spectrum disorders. Current understanding of shared and divergent patterns between ASD and SSD from molecular to clinical aspects is still incomplete and may be implemented by the research domain criteria approach.
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Affiliation(s)
- Roberto Canitano
- Division of Child Neuropsychiatry, University Hospital of Siena, Siena, Italy
| | - Mauro Pallagrosi
- Department of Psychiatry, Sapienza University of Rome, Rome, Italy
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45
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Mehdi A, Schweinsburg BC, Zehgeer A, Connor DF, Luber MJ, Coffey BJ. Challenges in the Psychopharmacological Management of Very Early-Onset Schizophrenia and Anxiety. J Child Adolesc Psychopharmacol 2016; 26:944-947. [PMID: 27992258 PMCID: PMC6445206 DOI: 10.1089/cap.2016.29120.bjc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Askar Mehdi
- Division of Child and Adolescent Psychiatry, University of Connecticut Medical School, Farmington, Connecticut
| | - Brian C. Schweinsburg
- Division of Child and Adolescent Psychiatry, University of Connecticut Medical School, Farmington, Connecticut
| | - Asima Zehgeer
- Division of Child and Adolescent Psychiatry, University of Connecticut Medical School, Farmington, Connecticut
| | - Daniel F. Connor
- Division of Child and Adolescent Psychiatry, University of Connecticut Medical School, Farmington, Connecticut
| | - Maxwell J. Luber
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Barbara J. Coffey
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
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Bakken TE, Miller JA, Ding SL, Sunkin SM, Smith KA, Ng L, Szafer A, Dalley RA, Royall JJ, Lemon T, Shapouri S, Aiona K, Arnold J, Bennett JL, Bertagnolli D, Bickley K, Boe A, Brouner K, Butler S, Byrnes E, Caldejon S, Carey A, Cate S, Chapin M, Chen J, Dee N, Desta T, Dolbeare TA, Dotson N, Ebbert A, Fulfs E, Gee G, Gilbert TL, Goldy J, Gourley L, Gregor B, Gu G, Hall J, Haradon Z, Haynor DR, Hejazinia N, Hoerder-Suabedissen A, Howard R, Jochim J, Kinnunen M, Kriedberg A, Kuan CL, Lau C, Lee CK, Lee F, Luong L, Mastan N, May R, Melchor J, Mosqueda N, Mott E, Ngo K, Nyhus J, Oldre A, Olson E, Parente J, Parker PD, Parry S, Pendergraft J, Potekhina L, Reding M, Riley ZL, Roberts T, Rogers B, Roll K, Rosen D, Sandman D, Sarreal M, Shapovalova N, Shi S, Sjoquist N, Sodt AJ, Townsend R, Velasquez L, Wagley U, Wakeman WB, White C, Bennett C, Wu J, Young R, Youngstrom BL, Wohnoutka P, Gibbs RA, Rogers J, Hohmann JG, Hawrylycz MJ, Hevner RF, Molnár Z, Phillips JW, Dang C, Jones AR, Amaral DG, Bernard A, Lein ES. A comprehensive transcriptional map of primate brain development. Nature 2016; 535:367-75. [PMID: 27409810 PMCID: PMC5325728 DOI: 10.1038/nature18637] [Citation(s) in RCA: 247] [Impact Index Per Article: 30.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 06/10/2016] [Indexed: 12/20/2022]
Abstract
The transcriptional underpinnings of brain development remain poorly understood, particularly in humans and closely related non-human primates. We describe a high-resolution transcriptional atlas of rhesus monkey (Macaca mulatta) brain development that combines dense temporal sampling of prenatal and postnatal periods with fine anatomical division of cortical and subcortical regions associated with human neuropsychiatric disease. Gene expression changes more rapidly before birth, both in progenitor cells and maturing neurons. Cortical layers and areas acquire adult-like molecular profiles surprisingly late in postnatal development. Disparate cell populations exhibit distinct developmental timing of gene expression, but also unexpected synchrony of processes underlying neural circuit construction including cell projection and adhesion. Candidate risk genes for neurodevelopmental disorders including primary microcephaly, autism spectrum disorder, intellectual disability, and schizophrenia show disease-specific spatiotemporal enrichment within developing neocortex. Human developmental expression trajectories are more similar to monkey than rodent, although approximately 9% of genes show human-specific regulation with evidence for prolonged maturation or neoteny compared to monkey.
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Affiliation(s)
- Trygve E. Bakken
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeremy A. Miller
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Susan M. Sunkin
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Lydia Ng
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Rachel A. Dalley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Joshua J. Royall
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tracy Lemon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Sheila Shapouri
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kaylynn Aiona
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - James Arnold
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeffrey L. Bennett
- Department of Psychiatry and Behavioral Science, California National Primate Research Center, The M.I.N.D. Institute, University of California, Davis, Sacramento, CA 95817, USA
| | | | | | - Andrew Boe
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Krissy Brouner
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Stephanie Butler
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Emi Byrnes
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Shiella Caldejon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Anita Carey
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Shelby Cate
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Mike Chapin
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jefferey Chen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tsega Desta
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tim A. Dolbeare
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nadia Dotson
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Amanda Ebbert
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Erich Fulfs
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Garrett Gee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Terri L. Gilbert
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Lindsey Gourley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ben Gregor
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Guangyu Gu
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jon Hall
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Zeb Haradon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David R. Haynor
- Department of Radiology, University of Washington, Seattle, Washington 98195, USA
| | - Nika Hejazinia
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Anna Hoerder-Suabedissen
- Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road Oxford OX1 3QX, UK
| | - Robert Howard
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jay Jochim
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Marty Kinnunen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ali Kriedberg
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chihchau L. Kuan
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Christopher Lau
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chang-Kyu Lee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Felix Lee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Lon Luong
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Naveed Mastan
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ryan May
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jose Melchor
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nerick Mosqueda
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Erika Mott
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Eric Olson
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jody Parente
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Sheana Parry
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Lydia Potekhina
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Melissa Reding
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Zackery L. Riley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tyson Roberts
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Brandon Rogers
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kate Roll
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David Rosen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David Sandman
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Melaine Sarreal
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Shu Shi
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nathan Sjoquist
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Andy J. Sodt
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Robbie Townsend
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Udi Wagley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Wayne B. Wakeman
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Cassandra White
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Crissa Bennett
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jennifer Wu
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Rob Young
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Paul Wohnoutka
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Richard A. Gibbs
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - John G. Hohmann
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Robert F. Hevner
- Center for Integrative Brain Research, Seattle Children’s Research Institute, Seattle, Washington 98101, USA
| | - Zoltán Molnár
- Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road Oxford OX1 3QX, UK
| | - John W. Phillips
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chinh Dang
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Allan R. Jones
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David G. Amaral
- Department of Psychiatry and Behavioral Science, California National Primate Research Center, The M.I.N.D. Institute, University of California, Davis, Sacramento, CA 95817, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ed S. Lein
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
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47
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Zhang-James Y, Faraone SV. Genetic architecture for human aggression: A study of gene-phenotype relationship in OMIM. Am J Med Genet B Neuropsychiatr Genet 2016; 171:641-9. [PMID: 26288127 DOI: 10.1002/ajmg.b.32363] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 08/05/2015] [Indexed: 01/02/2023]
Abstract
Genetic studies of human aggression have mainly focused on known candidate genes and pathways regulating serotonin and dopamine signaling and hormonal functions. These studies have taught us much about the genetics of human aggression, but no genetic locus has yet achieved genome-significance. We here present a review based on a paradoxical hypothesis that studies of rare, functional genetic variations can lead to a better understanding of the molecular mechanisms underlying complex multifactorial disorders such as aggression. We examined all aggression phenotypes catalogued in Online Mendelian Inheritance in Man (OMIM), an Online Catalog of Human Genes and Genetic Disorders. We identified 95 human disorders that have documented aggressive symptoms in at least one individual with a well-defined genetic variant. Altogether, we retrieved 86 causal genes. Although most of these genes had not been implicated in human aggression by previous studies, the most significantly enriched canonical pathways had been previously implicated in aggression (e.g., serotonin and dopamine signaling). Our findings provide strong evidence to support the causal role of these pathways in the pathogenesis of aggression. In addition, the novel genes and pathways we identified suggest additional mechanisms underlying the origins of human aggression. Genome-wide association studies with very large samples will be needed to determine if common variants in these genes are risk factors for aggression. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Yanli Zhang-James
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, New York
| | - Stephen V Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, New York.,Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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48
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Katz J, d'Albis MA, Boisgontier J, Poupon C, Mangin JF, Guevara P, Duclap D, Hamdani N, Petit J, Monnet D, Le Corvoisier P, Leboyer M, Delorme R, Houenou J. Similar white matter but opposite grey matter changes in schizophrenia and high-functioning autism. Acta Psychiatr Scand 2016; 134:31-9. [PMID: 27105136 DOI: 10.1111/acps.12579] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVE High-functioning autism (HFA) and schizophrenia (SZ) are two of the main neurodevelopmental disorders, sharing several clinical dimensions and risk factors. Their exact relationship is poorly understood, and few studies have directly compared both disorders. Our aim was thus to directly compare neuroanatomy of HFA and SZ using a multimodal MRI design. METHODS We scanned 79 male adult subjects with 3T MRI (23 with HFA, 24 with SZ and 32 healthy controls, with similar non-verbal IQ). We compared them using both diffusion-based whole-brain tractography and T1 voxel-based morphometry. RESULTS HFA and SZ groups exhibited similar white matter alterations in the left fronto-occipital inferior fasciculus with a decrease in generalized fractional anisotropy compared with controls. In grey matter, the HFA group demonstrated bilateral prefrontal and anterior cingulate increases in contrast with prefrontal and left temporal reductions in SZ. CONCLUSION HFA and SZ may share common white matter deficits in long-range connections involved in social functions, but opposite grey matter abnormalities in frontal regions that subserve complex cognitive functions. Our results are consistent with the fronto-occipital underconnectivity theory of HFA and the altered connectivity hypothesis of SZ and suggest the existence of both associated and diametrical liabilities to these two conditions.
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Affiliation(s)
- J Katz
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - M-A d'Albis
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - J Boisgontier
- Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - C Poupon
- UNIRS Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - J-F Mangin
- UNATI Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - P Guevara
- Department of Electrical Engineering, Universidad de Concepcion, Concepcion, Chile
| | - D Duclap
- UNIRS Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - N Hamdani
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - J Petit
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Fondation FondaMental, Créteil, France
| | - D Monnet
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Fondation FondaMental, Créteil, France
| | - P Le Corvoisier
- Centre d'Investigation Clinique 1430, INSERM, Créteil, France.,APHP, GH Henri Mondor, Créteil, France
| | - M Leboyer
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - R Delorme
- Human Genetics and Cognitive Functions, CNRS URA 2182 'Genes, Synapses and Cognition', Institut Pasteur, Paris, France.,APHP, Department of Child and Adolescent Psychiatry, Robert Debré Hospital, Paris, France
| | - J Houenou
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
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49
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Biamino E, Di Gregorio E, Belligni EF, Keller R, Riberi E, Gandione M, Calcia A, Mancini C, Giorgio E, Cavalieri S, Pappi P, Talarico F, Fea AM, De Rubeis S, Cirillo Silengo M, Ferrero GB, Brusco A. A novel 3q29 deletion associated with autism, intellectual disability, psychiatric disorders, and obesity. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:290-9. [PMID: 26620927 DOI: 10.1002/ajmg.b.32406] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 11/12/2015] [Indexed: 12/22/2022]
Abstract
Copy number variation (CNV) has been associated with a variety of neuropsychiatric disorders, including intellectual disability/developmental delay (ID/DD), autism spectrum disorder (ASD), and schizophrenia (SCZ). Often, individuals carrying the same pathogenic CNV display high clinical variability. By array-CGH analysis, we identified a novel familial 3q29 deletion (1.36 Mb), centromeric to the 3q29 deletion region, which manifests with variable expressivity. The deletion was identified in a 3-year-old girl diagnosed with ID/DD and autism and segregated in six family members, all affected by severe psychiatric disorders including schizophrenia, major depression, anxiety disorder, and personality disorder. All individuals carrying the deletion were overweight or obese, and anomalies compatible with optic atrophy were observed in three out of four cases examined. Amongst the 10 genes encompassed by the deletion, the haploinsufficiency of Optic Atrophy 1 (OPA1), associated with autosomal dominant optic atrophy, is likely responsible for the ophthalmological anomalies. We hypothesize that the haploinsufficiency of ATPase type 13A4 (ATP13A4) and/or Hairy/Enhancer of Split Drosophila homolog 1 (HES1) contribute to the neuropsychiatric phenotype, while HES1 deletion might underlie the overweight/obesity. In conclusion, we propose a novel contiguous gene syndrome due to a proximal 3q29 deletion variably associated with autism, ID/DD, psychiatric traits and overweight/obesity.
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Affiliation(s)
- Elisa Biamino
- Department of Public Health and Pediatrics, University of Torino, Torino, Italy
| | - Eleonora Di Gregorio
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy
| | - Elga Fabia Belligni
- Department of Public Health and Pediatrics, University of Torino, Torino, Italy
| | | | - Evelise Riberi
- Department of Public Health and Pediatrics, University of Torino, Torino, Italy
| | - Marina Gandione
- Department of Neuropsychiatry, University of Torino, Torino, Italy
| | | | - Cecilia Mancini
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Elisa Giorgio
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Simona Cavalieri
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Patrizia Pappi
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy
| | - Flavia Talarico
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy
| | - Antonio M Fea
- Department of Surgical Sciences, University of Torino, Torino, Italy
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Alfredo Brusco
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
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50
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Tao Y, Gao H, Ackerman B, Guo W, Saffen D, Shugart YY. Evidence for contribution of common genetic variants within chromosome 8p21.2-8p21.1 to restricted and repetitive behaviors in autism spectrum disorders. BMC Genomics 2016; 17:163. [PMID: 26931105 PMCID: PMC4774106 DOI: 10.1186/s12864-016-2475-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 02/15/2016] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Restricted and Repetitive Behaviors (RRB), one of the core symptom categories for Autism Spectrum Disorders (ASD), comprises heterogeneous groups of behaviors. Previous research indicates that there are two or more factors (subcategories) within the RRB domain. In an effort to identify common variants associated with RRB, we have carried out a genome-wide association study (GWAS) using the Autism Genetic Resource Exchange (AGRE) dataset (n = 1,335, all ASD probands of European ancestry) for each identified RRB subcategory, while allowing for comparisons of associated single nucleotide polymorphisms (SNPs) with associated SNPs in the same set of probands analyzed using all the RRB subcategories as phenotypes in a multivariate linear mixed model. The top ranked SNPs were then explored in an independent dataset. RESULTS Using principal component analysis of item scores obtained from Autism Diagnostic Interview-Revised (ADI-R), two distinct subcategories within Restricted and Repetitive Behaviors were identified: Repetitive Sensory Motor (RSM) and Insistence on Sameness (IS). Quantitative RSM and IS scores were subsequently used as phenotypes in a GWAS using the AGRE ASD cohort. Although no associated SNPs with genome-wide significance (P < 5.0E-08) were detected when RSM or IS were analyzed independently, three SNPs approached genome-wide significance when RSM and IS were considered together using multivariate association analysis. These included the top IS-associated SNP, rs62503729 (P-value = 6.48E-08), which is located within chromosome 8p21.2-8p21.1, a locus previously linked to schizophrenia. Notably, all of the most significantly associated SNPs are located in close proximity to STMN4 and PTK2B, genes previously shown to function in neuron development. In addition, several of the top-ranked SNPs showed correlations with STMN4 mRNA expression in adult CEU (Caucasian and European descent) human prefrontal cortex. However, the association signals within chromosome 8p21.2-8p21.1 failed to replicate in an independent sample of 2,588 ASD probands; the insufficient sample size and between-study heterogeneity are possible explanations for the non-replication. CONCLUSIONS Our analysis indicates that RRB in ASD can be represented by two distinct subcategories: RSM and IS. Subsequent univariate and multivariate genome-wide association studies of these RRB subcategories enabled the detection of associated SNPs at 8p21.2-8p21.1. Although these results did not replicate in an independent ASD dataset, genomic features of this region and pathway analysis suggest that common variants in 8p21.2-8p21.1 may contribute to RRB, particularly IS. Together, these observations warrant future studies to elucidate the possible contributions of common variants in 8p21.2-8p21.1 to the etiology of RSM and IS in ASD.
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Affiliation(s)
- Yu Tao
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, 130Dong'an Road, Shanghai, 200032, China.
| | - Hui Gao
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, 130Dong'an Road, Shanghai, 200032, China.
| | - Benjamin Ackerman
- JohnsHopkins University, Baltimore, MD, USA. .,Unit on Statistical Genomics, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA.
| | - Wei Guo
- Unit on Statistical Genomics, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA.
| | - David Saffen
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, 130Dong'an Road, Shanghai, 200032, China.
| | - Yin Yao Shugart
- Unit on Statistical Genomics, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA.
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