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      Interneuron Development Is Disrupted in Preterm Brains With Diffuse White Matter Injury: Observations in Mouse and Human

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          Abstract

          Preterm brain injury, occurring in approximately 30% of infants born <32 weeks gestational age, is associated with an increased risk of neurodevelopmental disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). The mechanism of gray matter injury in preterm born children is unclear and likely to be multifactorial; however, inflammation, a high predictor of poor outcome in preterm infants, has been associated with disrupted interneuron maturation in a number of animal models. Interneurons are important for regulating normal brain development, and disruption in interneuron development, and the downstream effects of this, has been implicated in the etiology of neurodevelopmental disorders. Here, we utilize postmortem tissue from human preterm cases with or without diffuse white matter injury (WMI; PMA range: 23 +2 to 28 +1 for non-WMI group, 26 +6 to 30 +0 for WMI group, p = 0.002) and a model of inflammation-induced preterm diffuse white matter injury (i.p. IL-1β, b.d., 10 μg/kg/injection in male CD1 mice from P1–5). Data from human preterm infants show deficits in interneuron numbers in the cortex and delayed growth of neuronal arbors at this early stage of development. In the mouse, significant reduction in the number of parvalbumin-positive interneurons was observed from postnatal day (P) 10. This decrease in parvalbumin neuron number was largely rectified by P40, though there was a significantly smaller number of parvalbumin positive cells associated with perineuronal nets in the upper cortical layers. Together, these data suggest that inflammation in the preterm brain may be a contributor to injury of specific interneuron in the cortical gray matter. This may represent a potential target for postnatal therapy to reduce the incidence and/or severity of neurodevelopmental disorders in preterm infants.

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          Most cited references61

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          Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.

          Gamma frequency oscillations are thought to provide a temporal structure for information processing in the brain. They contribute to cognitive functions, such as memory formation and sensory processing, and are disturbed in some psychiatric disorders. Fast-spiking, parvalbumin-expressing, soma-inhibiting interneurons have a key role in the generation of these oscillations. Experimental analysis in the hippocampus and the neocortex reveals that synapses among these interneurons are highly specialized. Computational analysis further suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.
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            Interneuron dysfunction in psychiatric disorders.

            Schizophrenia, autism and intellectual disabilities are best understood as spectrums of diseases that have broad sets of causes. However, it is becoming evident that these conditions also have overlapping phenotypes and genetics, which is suggestive of common deficits. In this context, the idea that the disruption of inhibitory circuits might be responsible for some of the clinical features of these disorders is gaining support. Recent studies in animal models demonstrate that the molecular basis of such disruption is linked to specific defects in the development and function of interneurons - the cells that are responsible for establishing inhibitory circuits in the brain. These insights are leading to a better understanding of the causes of schizophrenia, autism and intellectual disabilities, and may contribute to the development of more-effective therapeutic interventions.
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              Extrapolating brain development from experimental species to humans.

              To better understand the neurotoxic effects of diverse hazards on the developing human nervous system, researchers and clinicians rely on data collected from a number of model species that develop and mature at varying rates. We review the methods commonly used to extrapolate the timing of brain development from experimental mammalian species to humans, including morphological comparisons, "rules of thumb" and "event-based" analyses. Most are unavoidably limited in range or detail, many are necessarily restricted to rat/human comparisons, and few can identify brain regions that develop at different rates. We suggest this issue is best addressed using "neuroinformatics", an analysis that combines neuroscience, evolutionary science, statistical modeling and computer science. A current use of this approach relates numeric values assigned to 10 mammalian species and hundreds of empirically derived developing neural events, including specific evolutionary advances in primates. The result is an accessible, online resource (http://www.translatingtime.net/) that can be used to equate dates in the neurodevelopmental literature across laboratory species to humans, predict neurodevelopmental events for which data are lacking in humans, and help to develop clinically relevant experimental models.
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                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                30 July 2019
                2019
                : 10
                : 955
                Affiliations
                [1] 1Department for Comparative Biomedical Sciences, Royal Veterinary College , London, United Kingdom
                [2] 2Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King’s College London , London, United Kingdom
                [3] 3Université de Paris, NeuroDiderot, Inserm , Paris, France
                [4] 4School of Health and Biomedical Sciences, RMIT University , Melbourne, VIC, Australia
                [5] 5Department of Neurology, University of Miami, Miller School of Medicine , Miami, FL, United States
                [6] 6Department of Pharmacology, University of Oxford , Oxford, United Kingdom
                Author notes

                Edited by: Justin Dean, The University of Auckland, New Zealand

                Reviewed by: Rachel Anne Hill, Monash University, Australia; Alistair Jan Gunn, The University of Auckland, New Zealand

                *Correspondence: Helen B. Stolp, hstolp@ 123456rvc.ac.uk

                Present address: Yoko Arai, BrainEver, Paris, France

                This article was submitted to Embryonic and Developmental Physiology, a section of the journal Frontiers in Physiology

                Article
                10.3389/fphys.2019.00955
                6683859
                cee0c7a2-4170-4b44-adf2-fb58d9bc797e
                Copyright © 2019 Stolp, Fleiss, Arai, Supramaniam, Vontell, Birtles, Yates, Baburamani, Thornton, Rutherford, Edwards and Gressens.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 January 2019
                : 09 July 2019
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 87, Pages: 16, Words: 0
                Funding
                Funded by: Medical Research Council 10.13039/501100000265
                Award ID: MR/K006355/1
                Funded by: Wellcome/EPSRC Centre for Medical Engineering at King’s College London
                Award ID: WT 203148/Z/16/Z
                Funded by: “Investissement d’Avenir -ANR-11-INBS-0011-"NeurATRIS
                Funded by: Fondation Grace de Monaco
                Funded by: Fondation Roger de Spoelberch 10.13039/501100008236
                Funded by: PremUP
                Funded by: Cerebral Palsy Alliance
                Funded by: Fondation des Gueules Cassées
                Funded by: National Institute for Health Research (NIHR) 10.13039/501100000272
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                parvalbumin,perineuronal nets,neuroinflammation,mouse,human
                Anatomy & Physiology
                parvalbumin, perineuronal nets, neuroinflammation, mouse, human

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