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Robinson JE, Coughlin GM, Hori AM, Cho JR, Mackey ED, Turan Z, Patriarchi T, Tian L, Gradinaru V. Optical dopamine monitoring with dLight1 reveals mesolimbic phenotypes in a mouse model of neurofibromatosis type 1. eLife 2019; 8:e48983. [PMID: 31545171 PMCID: PMC6819083 DOI: 10.7554/elife.48983] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Accepted: 09/21/2019] [Indexed: 12/12/2022] Open
Abstract
Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder whose neurodevelopmental symptoms include impaired executive function, attention, and spatial learning and could be due to perturbed mesolimbic dopaminergic circuitry. However, these circuits have never been directly assayed in vivo. We employed the genetically encoded optical dopamine sensor dLight1 to monitor dopaminergic neurotransmission in the ventral striatum of NF1 mice during motivated behavior. Additionally, we developed novel systemic AAV vectors to facilitate morphological reconstruction of dopaminergic populations in cleared tissue. We found that NF1 mice exhibit reduced spontaneous dopaminergic neurotransmission that was associated with excitation/inhibition imbalance in the ventral tegmental area and abnormal neuronal morphology. NF1 mice also had more robust dopaminergic and behavioral responses to salient visual stimuli, which were independent of learning, and rescued by optogenetic inhibition of non-dopaminergic neurons in the VTA. Overall, these studies provide a first in vivo characterization of dopaminergic circuit function in the context of NF1 and reveal novel pathophysiological mechanisms.
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Affiliation(s)
- J Elliott Robinson
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Gerard M Coughlin
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Acacia M Hori
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Jounhong Ryan Cho
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Elisha D Mackey
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Zeynep Turan
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Tommaso Patriarchi
- Department of Biochemistry and Molecular MedicineUniversity of California, DavisDavisUnited States
| | - Lin Tian
- Department of Biochemistry and Molecular MedicineUniversity of California, DavisDavisUnited States
| | - Viviana Gradinaru
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
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Port RG, Oberman LM, Roberts TPL. Revisiting the excitation/inhibition imbalance hypothesis of ASD through a clinical lens. Br J Radiol 2019; 92:20180944. [PMID: 31124710 PMCID: PMC6732925 DOI: 10.1259/bjr.20180944] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 04/19/2019] [Accepted: 05/21/2019] [Indexed: 12/22/2022] Open
Abstract
Autism spectrum disorder (ASD) currently affects 1 in 59 children, although the aetiology of this disorder remains unknown. Faced with multiple seemingly disparate and noncontiguous neurobiological alterations, Rubenstein and Merzenich hypothesized that imbalances between excitatory and inhibitory neurosignaling (E/I imbalance) underlie ASD. Since this initial statement, there has been a major focus examining this exact topic spanning both clinical and preclinical realms. The purpose of this article is to review the clinical neuroimaging literature surrounding E/I imbalance as an aetiology of ASD. Evidence for E/I imbalance is presented from several complementary clinical techniques including magnetic resonance spectroscopy, magnetoencephalography and transcranial magnetic stimulation. Additionally, two GABAergic potential interventions for ASD, which explicitly attempt to remediate E/I imbalance, are reviewed. The current literature suggests E/I imbalance as a useful framework for discussing the neurobiological etiology of ASD in at least a subset of affected individuals. While not constituting a completely unifying aetiology, E/I imbalance may be relevant as one of several underlying neuropathophysiologies that differentially affect individuals with ASD. Such statements do not diminish the value of the E/I imbalance concept-instead they suggest a possible role for the characterization of E/I imbalance, as well as other underlying neuropathophysiologies, in the biologically-based subtyping of individuals with ASD for potential applications including clinical trial enrichment as well as treatment triage.
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Affiliation(s)
| | - Lindsay M Oberman
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Rockville, Maryland
| | - Timothy PL Roberts
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children’s Hospital of Philadelphia, Pennsylvania
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Molosh AI, Shekhar A. Neurofibromatosis type 1 as a model system to study molecular mechanisms of autism spectrum disorder symptoms. PROGRESS IN BRAIN RESEARCH 2018; 241:37-62. [PMID: 30447756 DOI: 10.1016/bs.pbr.2018.09.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Neurofibromatosis type 1 (NF1) is monogenic neurodevelopmental disorder caused by mutation of NF1 gene, which leads to increased susceptibility to various tumors formations. Additionally, majority of patients with NF1 are experience high incidence of cognitive deficits. Particularly, we review the growing number of reports demonstrated a higher incidence of autism spectrum disorder (ASD) in individuals with NF1. In this review we also discuss face validity of preclinical Nf1 mouse models. Then we describe discoveries from these animal models that have uncovered the deficiencies in the regulation of Ras and other intracellular pathways as critical mechanisms underlying the Nf1 cognitive problems. We also summarize and interpret recent preclinical and clinical studies that point toward potential pharmacological therapies for NF1 patients.
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Affiliation(s)
- Andrei I Molosh
- Department of Psychiatry, Institute of Psychiatric Research, IU School of Medicine, Indianapolis, IN, United States; Stark Neurosciences Research Institute, IU School of Medicine, Indianapolis, IN, United States.
| | - Anantha Shekhar
- Department of Psychiatry, Institute of Psychiatric Research, IU School of Medicine, Indianapolis, IN, United States; Stark Neurosciences Research Institute, IU School of Medicine, Indianapolis, IN, United States; Department of Pharmacology & Toxicology, IU School of Medicine, Indianapolis, IN, United States; Indiana Clinical and Translational Institute, IU School of Medicine, Indianapolis, IN, United States
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54
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Torres-Rojas C, Jones BC. Sex Differences in Neurotoxicogenetics. Front Genet 2018; 9:196. [PMID: 29922331 PMCID: PMC5996082 DOI: 10.3389/fgene.2018.00196] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 05/15/2018] [Indexed: 12/02/2022] Open
Abstract
A major development in biomedical research is the recognition that the sex of an individual plays a key role in susceptibility, treatment, and outcomes of most diseases. In this contribution, we present evidence that sex is also important in the toxicity of many environmental toxicants and contributes to the effect of genetics. Thus, individual differences in response to toxicants includes genetic makeup, the environment and sex; in fact, sex differences may be considered a part of genetic constitution. In this review, we present evidence for sex contribution to susceptibility for a number of toxicants.
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Affiliation(s)
- Carolina Torres-Rojas
- Department of Pharmacology, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Byron C Jones
- Department of Pharmacology, University of Tennessee Health Science Center, Memphis, TN, United States.,Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
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Silva G, Duarte IC, Bernardino I, Marques T, Violante IR, Castelo-Branco M. Oscillatory motor patterning is impaired in neurofibromatosis type 1: a behavioural, EEG and fMRI study. J Neurodev Disord 2018; 10:11. [PMID: 29566645 PMCID: PMC5863896 DOI: 10.1186/s11689-018-9230-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/15/2018] [Indexed: 12/17/2022] Open
Abstract
Background Neurofibromatosis type1 (NF1) is associated with a broad range of behavioural deficits, and an imbalance between excitatory and inhibitory neurotransmission has been postulated in this disorder. Inhibition is involved in the control of frequency and stability of motor rhythms. Therefore, we aimed to explore the link between behavioural motor control, brain rhythms and brain activity, as assessed by EEG and fMRI in NF1. Methods We studied a cohort of 21 participants with NF1 and 20 age- and gender-matched healthy controls, with a finger-tapping task requiring pacing at distinct frequencies during EEG and fMRI scans. Results We found that task performance was significantly different between NF1 and controls, the latter showing higher tapping time precision. The time-frequency patterns at the beta sub-band (20–26 Hz) mirrored the behavioural modulations, with similar cyclic synchronization/desynchronization patterns for both groups. fMRI results showed a higher recruitment of the extrapyramidal motor system (putamen, cerebellum and red nucleus) in the control group during the fastest pacing condition. Conclusions The present study demonstrated impaired precision in rhythmic pacing behaviour in NF1 as compared with controls. We found a decreased recruitment of the cerebellum, a structure where inhibitory interneurons are essential regulators of rhythmic synchronization, and in deep brain regions pivotally involved in motor pacing. Our findings shed light into the neural underpinnings of motor timing deficits in NF1.
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Affiliation(s)
- Gilberto Silva
- CNC.IBILI, Institute for Biomedical Imaging and Life Sciences, University of Coimbra, 3000-548, Coimbra, Portugal.,ICNAS, CIBIT, Institute for Nuclear Sciences Applied to Health, University of Coimbra, 3000-548, Coimbra, Portugal
| | - Isabel Catarina Duarte
- CNC.IBILI, Institute for Biomedical Imaging and Life Sciences, University of Coimbra, 3000-548, Coimbra, Portugal.,ICNAS, CIBIT, Institute for Nuclear Sciences Applied to Health, University of Coimbra, 3000-548, Coimbra, Portugal
| | - Inês Bernardino
- CNC.IBILI, Institute for Biomedical Imaging and Life Sciences, University of Coimbra, 3000-548, Coimbra, Portugal
| | - Tânia Marques
- CNC.IBILI, Institute for Biomedical Imaging and Life Sciences, University of Coimbra, 3000-548, Coimbra, Portugal
| | - Inês R Violante
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - Miguel Castelo-Branco
- CNC.IBILI, Institute for Biomedical Imaging and Life Sciences, University of Coimbra, 3000-548, Coimbra, Portugal. .,ICNAS, CIBIT, Institute for Nuclear Sciences Applied to Health, University of Coimbra, 3000-548, Coimbra, Portugal.
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Stivaros S, Garg S, Tziraki M, Cai Y, Thomas O, Mellor J, Morris AA, Jim C, Szumanska-Ryt K, Parkes LM, Haroon HA, Montaldi D, Webb N, Keane J, Castellanos FX, Silva AJ, Huson S, Williams S, Gareth Evans D, Emsley R, Green J. Randomised controlled trial of simvastatin treatment for autism in young children with neurofibromatosis type 1 (SANTA). Mol Autism 2018; 9:12. [PMID: 29484149 PMCID: PMC5824534 DOI: 10.1186/s13229-018-0190-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 01/12/2018] [Indexed: 11/24/2022] Open
Abstract
Background Neurofibromatosis 1 (NF1) is a monogenic model for syndromic autism. Statins rescue the social and cognitive phenotype in animal knockout models, but translational trials with subjects > 8 years using cognition/behaviour outcomes have shown mixed results. This trial breaks new ground by studying statin effects for the first time in younger children with NF1 and co-morbid autism and by using multiparametric imaging outcomes. Methods A single-site triple-blind RCT of simvastatin vs. placebo was done. Assessment (baseline and 12-week endpoint) included peripheral MAPK assay, awake magnetic resonance imaging spectroscopy (MRS; GABA and glutamate+glutamine (Glx)), arterial spin labelling (ASL), apparent diffusion coefficient (ADC), resting state functional MRI, and autism behavioural outcomes (Aberrant Behaviour Checklist and Clinical Global Impression). Results Thirty subjects had a mean age of 8.1 years (SD 1.8). Simvastatin was well tolerated. The amount of imaging data varied by test. Simvastatin treatment was associated with (i) increased frontal white matter MRS GABA (t(12) = - 2.12, p = .055), GABA/Glx ratio (t(12) = - 2.78, p = .016), and reduced grey nuclei Glx (ANCOVA p < 0.05, Mann-Whitney p < 0.01); (ii) increased ASL perfusion in ventral diencephalon (Mann-Whitney p < 0.01); and (iii) decreased ADC in cingulate gyrus (Mann-Whitney p < 0.01). Machine-learning classification of imaging outcomes achieved 79% (p < .05) accuracy differentiating groups at endpoint against chance level (64%, p = 0.25) at baseline. Three of 12 (25%) simvastatin cases compared to none in placebo met 'clinical responder' criteria for behavioural outcome. Conclusions We show feasibility of peripheral MAPK assay and autism symptom measurement, but the study was not powered to test effectiveness. Multiparametric imaging suggests possible simvastatin effects in brain areas previously associated with NF1 pathophysiology and the social brain network. Trial registration EU Clinical Trial Register (EudraCT) 2012-005742-38 (www.clinicaltrialsregister.eu).
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Affiliation(s)
- Stavros Stivaros
- Academic Unit of Paediatric Radiology, Royal Manchester Children’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Shruti Garg
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Greater Manchester Mental Health NHS Foundation Trust, Room 3.311, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Maria Tziraki
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Ying Cai
- Departments of Neurobiology, Psychiatry and Biobehavioral Sciences and Psychology, Integrative Center for Learning and Memory, Brain Research Institute, Brain Research Institute, University of California, California, LA 90095 USA
| | - Owen Thomas
- Academic Unit of Radiology, Salford Royal Foundation NHS Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Joseph Mellor
- Computer Science, University of Manchester, Manchester, UK
| | - Andrew A. Morris
- Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Carly Jim
- Manchester Metropolitan University, Manchester, UK
| | - Karolina Szumanska-Ryt
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Laura M Parkes
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Hamied A. Haroon
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Daniela Montaldi
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Nicholas Webb
- Department of Paediatric Nephrology, Royal Manchester Children’s Hospital, Manchester University NHS Foundation Trust, Academic Health Sciences Centre, Manchester, UK
| | - John Keane
- Computer Science, University of Manchester, Manchester, UK
| | - Francisco X. Castellanos
- Hassenfeld Children’s Hospital at NYU Langone, Nathan S. Kline Institute for Psychiatric Research, New York, USA
| | - Alcino J. Silva
- Departments of Neurobiology, Psychiatry and Biobehavioral Sciences and Psychology, Integrative Center for Learning and Memory, Brain Research Institute, Brain Research Institute, University of California, California, LA 90095 USA
| | - Sue Huson
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Academic Health Sciences Centre, Manchester, UK
| | - Stephen Williams
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - D. Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Academic Health Sciences Centre, Manchester, UK
| | - Richard Emsley
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jonathan Green
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Greater Manchester Mental Health NHS Foundation Trust, Room 3.311, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
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