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Cabana-Domínguez J, Antón-Galindo E, Fernàndez-Castillo N, Singgih EL, O'Leary A, Norton WH, Strekalova T, Schenck A, Reif A, Lesch KP, Slattery D, Cormand B. The translational genetics of ADHD and related phenotypes in model organisms. Neurosci Biobehav Rev 2023; 144:104949. [PMID: 36368527 DOI: 10.1016/j.neubiorev.2022.104949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/10/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder resulting from the interaction between genetic and environmental risk factors. It is well known that ADHD co-occurs frequently with other psychiatric disorders due, in part, to shared genetics factors. Although many studies have contributed to delineate the genetic landscape of psychiatric disorders, their specific molecular underpinnings are still not fully understood. The use of animal models can help us to understand the role of specific genes and environmental stimuli-induced epigenetic modifications in the pathogenesis of ADHD and its comorbidities. The aim of this review is to provide an overview on the functional work performed in rodents, zebrafish and fruit fly and highlight the generated insights into the biology of ADHD, with a special focus on genetics and epigenetics. We also describe the behavioral tests that are available to study ADHD-relevant phenotypes and comorbid traits in these models. Furthermore, we have searched for new models to study ADHD and its comorbidities, which can be useful to test potential pharmacological treatments.
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Affiliation(s)
- Judit Cabana-Domínguez
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
| | - Ester Antón-Galindo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Euginia L Singgih
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Aet O'Leary
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany; Division of Neuropsychopharmacology, Department of Psychology, University of Tartu, Tartu, Estonia
| | - William Hg Norton
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Tatyana Strekalova
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany, and Department of Neuropsychology and Psychiatry, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands
| | - Annette Schenck
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany, and Department of Neuropsychology and Psychiatry, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands
| | - David Slattery
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
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2
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Roubinov D, Meaney MJ, Boyce WT. Change of pace: How developmental tempo varies to accommodate failed provision of early needs. Neurosci Biobehav Rev 2021; 131:120-134. [PMID: 34547365 PMCID: PMC8648258 DOI: 10.1016/j.neubiorev.2021.09.031] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 07/30/2021] [Accepted: 09/16/2021] [Indexed: 01/13/2023]
Abstract
The interplay of genes and environments (GxE) is a fundamental source of variation in behavioral and developmental outcomes. Although the role of developmental time (T) in the unfolding of such interactions has yet to be fully considered, GxE operates within a temporal frame of reference across multiple timescales and degrees of biological complexity. Here, we consider GxExT interactions to understand adversity-induced developmental acceleration or deceleration whereby environmental conditions hasten or hinder children's development. To date, developmental pace changes have been largely explained through a focus on the individual: for example, how adversity "wears down" aging biological systems or how adversity accelerates or decelerates maturation to optimize reproductive fitness. We broaden such theories by positing shifts in developmental pace in response to the parent-child dyad's capacity or incapacity for meeting children's early, physiological and safety needs. We describe empirical evidence and potential neurobiological mechanisms supporting this new conceptualization of developmental acceleration and deceleration. We conclude with suggestions for future research on the developmental consequences of early adverse exposures.
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Affiliation(s)
- Danielle Roubinov
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States.
| | - Michael J Meaney
- Department of Psychiatry and Sackler Program for Epigenetics and Psychobiology, McGill University, Montreal, Quebec, H3H 1R4, Canada; Child and Brain Development Program, CIFAR, Toronto, Ontario, M5G 1M1, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A ⁎STAR), 117609, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore
| | - W Thomas Boyce
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States; Child and Brain Development Program, CIFAR, Toronto, Ontario, M5G 1M1, Canada; Department of Pediatrics, University of California, San Francisco, United States
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3
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Amin SI, Salah EL-Deen GM. Autistic traits in offspring of schizophrenic patients in comparison to those of normal population: a case-control study. MIDDLE EAST CURRENT PSYCHIATRY 2021. [DOI: 10.1186/s43045-021-00100-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Autism is not a discreet condition and those families members with autistic propend are more likely to display autistic symptoms with a wide range of severity, even below the threshold for diagnosis of autism spectrum disorders. Even with a parental history of schizophrenia, the likelihood of autistic spectrum disorder was found to be 3-fold greater. The aim of this study is to assess autistic traits among offspring of schizophrenic patients in the age group from 4 to 11 years and compare it in the offspring of normal individuals, and its association with the sociodemographic data. To determine whether schizophrenic parents are a risk factor to autistic traits in their children.
Results
There was a statistically significant (P < 0.05*) increase in Autism Quotient Child scores of the case group where 47.2% had a score equal or more than the cutoff point (76), while only 17 19.4% of the control group had the same score with odds = 3.71 indicating that children of schizophrenic parents 18 were three times likely to have Autism Quotient-Child score greater than or equal to the cutoff point (76) than 19 children of healthy parents. No statistically significant association (P ≥ 0.05) was found between all 20 sociodemographic characteristics and Autism Quotient-Child scores among the case group except for family 21 income and social class where there was a statistically significant association (P < 0.05) between insufficient income 22 and low social class and higher Autism Quotient-Child score (≥ 76).
Conclusions
Children of schizophrenic parents are at high risk to have autistic traits than children of normal parents.
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4
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Haltigan JD, Del Giudice M, Khorsand S. Growing points in attachment disorganization: looking back to advance forward. Attach Hum Dev 2021; 23:438-454. [PMID: 33890555 DOI: 10.1080/14616734.2021.1918454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
In this special issue paper we reflect on the next generation of attachment research with a focus on disorganization, a central but still poorly understood topic in this area. We suggest that progress will be facilitated by a return to attachment theory's evolutionary roots, and to the emphasis on biological function that inspired Bowlby's original thinking. Increased interdisciplinary cross-fertilization and collaborations would enable novel and generative research on some of the long-standing questions surrounding attachment disorganization. Accordingly, we present an agenda for future research that encompasses contributions of modern ethology and neurobiology, novel hypotheses based on the concept of adaptive decanalization, connections with neurodevelopmental vulnerability and risk for mental disorders such as schizophrenia, and the possibility of sex differences in the behavioral manifestations of attachment disorganization. We believe that these avenues of theory and research offer exciting potential for innovative work in attachment disorganization in the years ahead.
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Affiliation(s)
- John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Marco Del Giudice
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Soha Khorsand
- Faculty of Science, Western University, London, Canada
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Sinha S, Jones BM, Traniello IM, Bukhari SA, Halfon MS, Hofmann HA, Huang S, Katz PS, Keagy J, Lynch VJ, Sokolowski MB, Stubbs LJ, Tabe-Bordbar S, Wolfner MF, Robinson GE. Behavior-related gene regulatory networks: A new level of organization in the brain. Proc Natl Acad Sci U S A 2020; 117:23270-23279. [PMID: 32661177 PMCID: PMC7519311 DOI: 10.1073/pnas.1921625117] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Neuronal networks are the standard heuristic model today for describing brain activity associated with animal behavior. Recent studies have revealed an extensive role for a completely distinct layer of networked activities in the brain-the gene regulatory network (GRN)-that orchestrates expression levels of hundreds to thousands of genes in a behavior-related manner. We examine emerging insights into the relationships between these two types of networks and discuss their interplay in spatial as well as temporal dimensions, across multiple scales of organization. We discuss properties expected of behavior-related GRNs by drawing inspiration from the rich literature on GRNs related to animal development, comparing and contrasting these two broad classes of GRNs as they relate to their respective phenotypic manifestations. Developmental GRNs also represent a third layer of network biology, playing out over a third timescale, which is believed to play a crucial mediatory role between neuronal networks and behavioral GRNs. We end with a special emphasis on social behavior, discuss whether unique GRN organization and cis-regulatory architecture underlies this special class of behavior, and review literature that suggests an affirmative answer.
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Affiliation(s)
- Saurabh Sinha
- Department of Computer Science, University of Illinois, Urbana-Champaign, IL 61801;
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Beryl M Jones
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544
| | - Ian M Traniello
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Neuroscience Program, University of Illinois, Urbana-Champaign, IL 61801
| | - Syed A Bukhari
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Informatics Program, University of Illinois, Urbana-Champaign, IL 61820
| | - Marc S Halfon
- Department of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY 14203
| | - Hans A Hofmann
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712
- Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX 78712
| | - Sui Huang
- Institute for Systems Biology, Seattle, WA 98109
| | - Paul S Katz
- Department of Biology, University of Massachusetts, Amherst, MA 01003
| | - Jason Keagy
- Department of Evolution, Ecology, and Behavior, School of Integrative Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Vincent J Lynch
- Department of Biological Sciences, University at Buffalo-State University of New York, Buffalo, NY 14260
| | - Marla B Sokolowski
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
- Program in Child and Brain Development, Canadian Institute for Advanced Research, Toronto, ON M5G 1M1, Canada
| | - Lisa J Stubbs
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Department of Cell and Developmental Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Shayan Tabe-Bordbar
- Department of Computer Science, University of Illinois, Urbana-Champaign, IL 61801
| | - Mariana F Wolfner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850
| | - Gene E Robinson
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801;
- Neuroscience Program, University of Illinois, Urbana-Champaign, IL 61801
- Department of Entomology, University of Illinois, Urbana-Champaign, IL 61801
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6
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Szoke A, Pignon B, Boster S, Jamain S, Schürhoff F. Schizophrenia: Developmental Variability Interacts with Risk Factors to Cause the Disorder: Nonspecific Variability-Enhancing Factors Combine with Specific Risk Factors to Cause Schizophrenia. Bioessays 2020; 42:e2000038. [PMID: 32864753 DOI: 10.1002/bies.202000038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 08/10/2020] [Indexed: 12/31/2022]
Abstract
A new etiological model is proposed for schizophrenia that combines variability-enhancing nonspecific factors acting during development with more specific risk factors. This model is better suited than the current etiological models of schizophrenia, based on the risk factors paradigm, for predicting and/or explaining several important findings about schizophrenia: high co-morbidity rates, low specificity of many risk factors, and persistence in the population of the associated genetic polymorphisms. Compared with similar models, e.g., de-canalization, common psychopathology factor, sexual-selection, or differential sensitivity to the environment, this proposal is more general and integrative. Recently developed research methods have proven the existence of genetic and environmental factors that enhance developmental variability. Applying such methods to newly collected or already available data can allow for testing the hypotheses upon which this model is built. If validated, this model may change the understanding of the etiology of schizophrenia, the research models, and preventionbrk paradigms.
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Affiliation(s)
- Andrei Szoke
- INSERM, U955, Translational NeuroPsychiatry Lab, Créteil, 94000, France.,AP-HP, DHU IMPACT, Pôle de Psychiatrie, Hôpitaux Universitaires Henri-Mondor, Créteil, 94000, France.,Fondation FondaMental, Créteil, 94000, France.,UPEC, Faculté de Médecine, Université Paris-Est Créteil, Créteil, 94000, France
| | - Baptiste Pignon
- INSERM, U955, Translational NeuroPsychiatry Lab, Créteil, 94000, France.,AP-HP, DHU IMPACT, Pôle de Psychiatrie, Hôpitaux Universitaires Henri-Mondor, Créteil, 94000, France.,Fondation FondaMental, Créteil, 94000, France.,UPEC, Faculté de Médecine, Université Paris-Est Créteil, Créteil, 94000, France
| | | | - Stéphane Jamain
- INSERM, U955, Translational NeuroPsychiatry Lab, Créteil, 94000, France.,UPEC, Faculté de Médecine, Université Paris-Est Créteil, Créteil, 94000, France
| | - Franck Schürhoff
- INSERM, U955, Translational NeuroPsychiatry Lab, Créteil, 94000, France.,AP-HP, DHU IMPACT, Pôle de Psychiatrie, Hôpitaux Universitaires Henri-Mondor, Créteil, 94000, France.,Fondation FondaMental, Créteil, 94000, France.,UPEC, Faculté de Médecine, Université Paris-Est Créteil, Créteil, 94000, France
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7
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Abstract
Two sets of evidence reviewed herein, one indicating that prenatal stress is associated with elevated behavioral and physiological dysregulation and the other that such phenotypic functioning is itself associated with heightened susceptibility to positive and negative environmental influences postnatally, raises the intriguing hypothesis first advanced by Pluess and Belsky (2011) that prenatal stress fosters, promotes, or "programs" postnatal developmental plasticity. Here we review further evidence consistent with this proposition, including new experimental research systematically manipulating both prenatal stress and postnatal rearing. Collectively this work would seem to explain why prenatal stress has so consistently been linked to problematic development: stresses encountered prenatally are likely to continue postnatally, thereby adversely affecting the development of children programmed (by prenatal stress) to be especially susceptible to environmental effects. Less investigated are the potential benefits prenatal stress may promote, due to increased plasticity, when the postnatal environment proves to be favorable. Future directions of research pertaining to potential mechanisms instantiating postnatal plasticity and moderators of such prenatal-programming effects are outlined.
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8
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Bridging Autism Spectrum Disorders and Schizophrenia through inflammation and biomarkers - pre-clinical and clinical investigations. J Neuroinflammation 2017; 14:179. [PMID: 28870209 PMCID: PMC5584030 DOI: 10.1186/s12974-017-0938-y] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/08/2017] [Indexed: 12/15/2022] Open
Abstract
In recent years, evidence supporting a link between inflammation and neuropsychiatric disorders has been mounting. Autism spectrum disorders (ASD) and schizophrenia share some clinical similarities which we hypothesize might reflect the same biological basis, namely, in terms of inflammation. However, the diagnosis of ASD and schizophrenia relies solely on clinical symptoms, and to date, there is no clinically useful biomarker to diagnose or monitor the course of such illnesses. The focus of this review is the central role that inflammation plays in ASD and schizophrenia. It spans from pre-clinical animal models to clinical research and excludes in vitro studies. Four major areas are covered: (1) microglia, the inflammatory brain resident myeloid cells, (2) biomarkers, including circulating cytokines, oxidative stress markers, and microRNA players, known to influence cellular processes at brain and immune levels, (3) effect of anti-psychotics on biomarkers and other predictors of response, and (4) impact of gender on response to immune activation, biomarkers, and response to anti-psychotic treatments.
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9
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Selten MM, Meyer F, Ba W, Vallès A, Maas DA, Negwer M, Eijsink VD, van Vugt RWM, van Hulten JA, van Bakel NHM, Roosen J, van der Linden RJ, Schubert D, Verheij MMM, Kasri NN, Martens GJM. Increased GABA B receptor signaling in a rat model for schizophrenia. Sci Rep 2016; 6:34240. [PMID: 27687783 PMCID: PMC5043235 DOI: 10.1038/srep34240] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 09/05/2016] [Indexed: 02/04/2023] Open
Abstract
Schizophrenia is a complex disorder that affects cognitive function and has been linked, both in patients and animal models, to dysfunction of the GABAergic system. However, the pathophysiological consequences of this dysfunction are not well understood. Here, we examined the GABAergic system in an animal model displaying schizophrenia-relevant features, the apomorphine-susceptible (APO-SUS) rat and its phenotypic counterpart, the apomorphine-unsusceptible (APO-UNSUS) rat at postnatal day 20-22. We found changes in the expression of the GABA-synthesizing enzyme GAD67 specifically in the prelimbic- but not the infralimbic region of the medial prefrontal cortex (mPFC), indicative of reduced inhibitory function in this region in APO-SUS rats. While we did not observe changes in basal synaptic transmission onto LII/III pyramidal cells in the mPFC of APO-SUS compared to APO-UNSUS rats, we report reduced paired-pulse ratios at longer inter-stimulus intervals. The GABAB receptor antagonist CGP 55845 abolished this reduction, indicating that the decreased paired-pulse ratio was caused by increased GABAB signaling. Consistently, we find an increased expression of the GABAB1 receptor subunit in APO-SUS rats. Our data provide physiological evidence for increased presynaptic GABAB signaling in the mPFC of APO-SUS rats, further supporting an important role for the GABAergic system in the pathophysiology of schizophrenia.
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Affiliation(s)
- Martijn M. Selten
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
| | - Francisca Meyer
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Wei Ba
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Astrid Vallès
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neurosciences, Maastricht University, Maastricht, the Netherlands
| | - Dorien A. Maas
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Moritz Negwer
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Vivian D. Eijsink
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Ruben W. M. van Vugt
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Josephus A. van Hulten
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Nick H. M. van Bakel
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Joey Roosen
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Robert J. van der Linden
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
| | - Dirk Schubert
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
| | - Michel M. M. Verheij
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Gerard J. M. Martens
- Department of Molecular Animal Physiology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, the Netherlands
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10
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Hannan AJ. Thinking with your stomach? Gut feelings on microbiome modulation of brain structure and function (Commentary on Luczynski et al
.). Eur J Neurosci 2016; 44:2652-2653. [DOI: 10.1111/ejn.13399] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Anthony J. Hannan
- Florey Institute of Neuroscience and Mental Health; Melbourne Brain Centre; University of Melbourne; Parkville Vic 3010 Australia
- Department of Anatomy and Neuroscience; University of Melbourne; Parkville Vic 3010 Australia
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11
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Burrows EL, Hannan AJ. Cognitive endophenotypes, gene-environment interactions and experience-dependent plasticity in animal models of schizophrenia. Biol Psychol 2015; 116:82-9. [PMID: 26687973 DOI: 10.1016/j.biopsycho.2015.11.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 11/26/2015] [Accepted: 11/30/2015] [Indexed: 12/22/2022]
Abstract
Schizophrenia is a devastating brain disorder caused by a complex and heterogeneous combination of genetic and environmental factors. In order to develop effective new strategies to prevent and treat schizophrenia, valid animal models are required which accurately model the disorder, and ideally provide construct, face and predictive validity. The cognitive deficits in schizophrenia represent some of the most debilitating symptoms and are also currently the most poorly treated. Therefore it is crucial that animal models are able to capture the cognitive dysfunction that characterizes schizophrenia, as well as the negative and psychotic symptoms. The genomes of mice have, prior to the recent gene-editing revolution, proven the most easily manipulable of mammalian laboratory species, and hence most genetic targeting has been performed using mouse models. Importantly, when key environmental factors of relevance to schizophrenia are experimentally manipulated, dramatic changes in the phenotypes of these animal models are often observed. We will review recent studies in rodent models which provide insight into gene-environment interactions in schizophrenia. We will focus specifically on environmental factors which modulate levels of experience-dependent plasticity, including environmental enrichment, cognitive stimulation, physical activity and stress. The insights provided by this research will not only help refine the establishment of optimally valid animal models which facilitate development of novel therapeutics, but will also provide insight into the pathogenesis of schizophrenia, thus identifying molecular and cellular targets for future preclinical and clinical investigations.
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Affiliation(s)
- Emma L Burrows
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, VIC 3010, Australia
| | - Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, VIC 3010, Australia; Department of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC 3010, Australia.
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12
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Loke YJ, Hannan AJ, Craig JM. The Role of Epigenetic Change in Autism Spectrum Disorders. Front Neurol 2015; 6:107. [PMID: 26074864 PMCID: PMC4443738 DOI: 10.3389/fneur.2015.00107] [Citation(s) in RCA: 141] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2015] [Accepted: 04/28/2015] [Indexed: 12/14/2022] Open
Abstract
Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmental disorders characterized by problems with social communication, social interaction, and repetitive or restricted behaviors. ASD are comorbid with other disorders including attention deficit hyperactivity disorder, epilepsy, Rett syndrome, and Fragile X syndrome. Neither the genetic nor the environmental components have been characterized well enough to aid diagnosis or treatment of non-syndromic ASD. However, genome-wide association studies have amassed evidence suggesting involvement of hundreds of genes and a variety of associated genetic pathways. Recently, investigators have turned to epigenetics, a prime mediator of environmental effects on genomes and phenotype, to characterize changes in ASD that constitute a molecular level on top of DNA sequence. Though in their infancy, such studies have the potential to increase our understanding of the etiology of ASD and may assist in the development of biomarkers for its prediction, diagnosis, prognosis, and eventually in its prevention and intervention. This review focuses on the first few epigenome-wide association studies of ASD and discusses future directions.
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Affiliation(s)
- Yuk Jing Loke
- Murdoch Childrens Research Institute, Royal Children's Hospital and Department of Paediatrics, University of Melbourne , Parkville, VIC , Australia
| | - Anthony John Hannan
- Melbourne Brain Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne , Parkville, VIC , Australia
| | - Jeffrey Mark Craig
- Murdoch Childrens Research Institute, Royal Children's Hospital and Department of Paediatrics, University of Melbourne , Parkville, VIC , Australia
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Karl T, Arnold JC. Schizophrenia: a consequence of gene-environment interactions? Front Behav Neurosci 2014; 8:435. [PMID: 25566003 PMCID: PMC4274985 DOI: 10.3389/fnbeh.2014.00435] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Accepted: 12/01/2014] [Indexed: 12/01/2022] Open
Affiliation(s)
- Tim Karl
- Neuroscience Research Australia (NeuRA) Randwick, NSW, Australia ; Schizophrenia Research Institute Darlinghurst, NSW, Australia ; School of Medical Sciences, University of New South Wales Sydney, NSW, Australia
| | - Jonathon C Arnold
- Department of Pharmacology, Bosch Institute, University of Sydney Sydney, NSW, Australia ; Brain and Mind Research Institute Camperdown, NSW, Australia
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McOmish CE, Burrows EL, Hannan AJ. Identifying novel interventional strategies for psychiatric disorders: integrating genomics, 'enviromics' and gene-environment interactions in valid preclinical models. Br J Pharmacol 2014; 171:4719-28. [PMID: 24846457 DOI: 10.1111/bph.12783] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 03/25/2014] [Accepted: 05/01/2014] [Indexed: 01/13/2023] Open
Abstract
Psychiatric disorders affect a substantial proportion of the population worldwide. This high prevalence, combined with the chronicity of the disorders and the major social and economic impacts, creates a significant burden. As a result, an important priority is the development of novel and effective interventional strategies for reducing incidence rates and improving outcomes. This review explores the progress that has been made to date in establishing valid animal models of psychiatric disorders, while beginning to unravel the complex factors that may be contributing to the limitations of current methodological approaches. We propose some approaches for optimizing the validity of animal models and developing effective interventions. We use schizophrenia and autism spectrum disorders as examples of disorders for which development of valid preclinical models, and fully effective therapeutics, have proven particularly challenging. However, the conclusions have relevance to various other psychiatric conditions, including depression, anxiety and bipolar disorders. We address the key aspects of construct, face and predictive validity in animal models, incorporating genetic and environmental factors. Our understanding of psychiatric disorders is accelerating exponentially, revealing extraordinary levels of genetic complexity, heterogeneity and pleiotropy. The environmental factors contributing to individual, and multiple, disorders also exhibit breathtaking complexity, requiring systematic analysis to experimentally explore the environmental mediators and modulators which constitute the 'envirome' of each psychiatric disorder. Ultimately, genetic and environmental factors need to be integrated via animal models incorporating the spatiotemporal complexity of gene-environment interactions and experience-dependent plasticity, thus better recapitulating the dynamic nature of brain development, function and dysfunction.
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Affiliation(s)
- Caitlin E McOmish
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Vic., Australia; The Sackler Institute for Developmental Psychobiology and Department of Psychiatry, Columbia University, New York, NY, USA
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Turner KM, Burne THJ. Comprehensive behavioural analysis of Long Evans and Sprague-Dawley rats reveals differential effects of housing conditions on tests relevant to neuropsychiatric disorders. PLoS One 2014; 9:e93411. [PMID: 24671152 PMCID: PMC3966872 DOI: 10.1371/journal.pone.0093411] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Accepted: 03/05/2014] [Indexed: 01/07/2023] Open
Abstract
Genetic (G) and environmental (E) manipulations are known to alter behavioural outcomes in rodents, however many animal models of neuropsychiatric disorders only use a restricted selection of strain and housing conditions. The aim of this study was to examine GxE interactions comparing two outbred rat strains, which were housed in either standard or enriched cages. The strains selected were the albino Sprague-Dawley rat, commonly used for animal models, and the other was the pigmented Long Evans rat, which is frequently used in cognitive studies. Rats were assessed using a comprehensive behavioural test battery and included well-established tests frequently employed to examine animal models of neuropsychiatric diseases, measuring aspects of anxiety, exploration, sensorimotor gating and cognition. Selective strain and housing effects were observed on a number of tests. These included increased locomotion and reduced pre-pulse inhibition in Long Evans rats compared to Sprague Dawley rats; and rats housed in enriched cages had reduced anxiety-like behaviour compared to standard housed rats. Long Evans rats required fewer sessions than Sprague Dawley rats to learn operant tasks, including a signal detection task and reversal learning. Furthermore, Long Evans rats housed in enriched cages acquired simple operant tasks faster than standard housed Long Evans rats. Cognitive phenotypes in animal models of neuropsychiatric disorders would benefit from using strain and housing conditions where there is greater potential for both enhancement and deficits in performance.
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Affiliation(s)
- Karly M. Turner
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia
| | - Thomas H. J. Burne
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Australia
- * E-mail:
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