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      Maternal Type-I interferon signaling adversely affects the microglia and the behavior of the offspring accompanied by increased sensitivity to stress

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          Abstract

          Viral infection during pregnancy is often associated with neuropsychiatric conditions. In mice, exposure of pregnant dams to the viral mimetic poly(I:C), serves as a model that simulates such pathology in the offspring, through a process known as Maternal Immune Activation (MIA). To investigate the mechanism of such effect, we hypothesized that maternal upregulation of Type-I interferon (IFN-I), as part of the dam’s antiviral response, might contribute to the damage imposed on the offspring. Using mRNA sequencing and flow cytometry analyses we found that poly(I:C) treatment during pregnancy caused reduced expression of genes related to proliferation and cell cycle in the offspring’s microglia relative to controls. This was found to be associated with an IFN-I signature in the embryonic yolk sac, the origin of microglia in development. Neutralizing IFN-I signaling in dams attenuated the effect of MIA on the newborn’s microglia, while systemic maternal administration of IFNβ was sufficient to mimic the effect of poly(I:C), and led to increased vulnerability of offspring’s microglia to subsequent stress. Furthermore, maternal elevation of IFNβ resulted in behavioral manifestations reminiscent of neuropsychiatric disorders. In addition, by adopting a “two-hit” experimental paradigm, we show a higher sensitivity of the offspring to postnatal stress subsequent to the maternal IFNβ elevation, demonstrated by behavioral irregularities. Our results suggest that maternal upregulation of IFN-I, in response to MIA, interferes with the offspring’s programmed microglial developmental cascade, increases their susceptibility to postnatal stress, and leads to behavioral abnormalities.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Autism spectrum disorder

            Autism spectrum disorder is a term used to describe a constellation of early-appearing social communication deficits and repetitive sensory–motor behaviours associated with a strong genetic component as well as other causes. The outlook for many individuals with autism spectrum disorder today is brighter than it was 50 years ago; more people with the condition are able to speak, read, and live in the community rather than in institutions, and some will be largely free from symptoms of the disorder by adulthood. Nevertheless, most individuals will not work full-time or live independently. Genetics and neuroscience have identified intriguing patterns of risk, but without much practical benefit yet. Considerable work is still needed to understand how and when behavioural and medical treatments can be effective, and for which children, including those with substantial comorbidities. It is also important to implement what we already know and develop services for adults with autism spectrum disorder. Clinicians can make a difference by providing timely and individualised help to families navigating referrals and access to community support systems, by providing accurate information despite often unfiltered media input, and by anticipating transitions such as family changes and school entry and leaving.
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              INTERFEROME v2.0: an updated database of annotated interferon-regulated genes

              Interferome v2.0 (http://interferome.its.monash.edu.au/interferome/) is an update of an earlier version of the Interferome DB published in the 2009 NAR database edition. Vastly improved computational infrastructure now enables more complex and faster queries, and supports more data sets from types I, II and III interferon (IFN)-treated cells, mice or humans. Quantitative, MIAME compliant data are collected, subjected to thorough, standardized, quantitative and statistical analyses and then significant changes in gene expression are uploaded. Comprehensive manual collection of metadata in v2.0 allows flexible, detailed search capacity including the parameters: range of -fold change, IFN type, concentration and time, and cell/tissue type. There is no limit to the number of genes that can be used to search the database in a single query. Secondary analysis such as gene ontology, regulatory factors, chromosomal location or tissue expression plots of IFN-regulated genes (IRGs) can be performed in Interferome v2.0, or data can be downloaded in convenient text formats compatible with common secondary analysis programs. Given the importance of IFN to innate immune responses in infectious, inflammatory diseases and cancer, this upgrade of the Interferome to version 2.0 will facilitate the identification of gene signatures of importance in the pathogenesis of these diseases.
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                Author and article information

                Contributors
                +972-8-934-2467 , michal.schwartz@weizmann.ac.il
                Journal
                Mol Psychiatry
                Mol. Psychiatry
                Molecular Psychiatry
                Nature Publishing Group UK (London )
                1359-4184
                1476-5578
                26 November 2019
                26 November 2019
                2020
                : 25
                : 5
                : 1050-1067
                Affiliations
                [1 ]ISNI 0000 0004 0604 7563, GRID grid.13992.30, Department of Neurobiology, , Weizmann Institute of Science, ; Rehovot, Israel
                [2 ]ISNI 0000 0004 0604 7563, GRID grid.13992.30, Department of Immunology, , Weizmann Institute of Science, ; Rehovot, Israel
                [3 ]GRID grid.5963.9, Institute of Neuropathology, Faculty of Medicine, , University of Freiburg, ; Freiburg, Germany
                [4 ]GRID grid.5963.9, Signalling Research Centres BIOSS and CIBSS, , University of Freiburg, ; Freiburg, Germany
                [5 ]GRID grid.5963.9, Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, , University of Freiburg, ; Freiburg, Germany
                Author information
                http://orcid.org/0000-0002-0349-1955
                Article
                604
                10.1038/s41380-019-0604-0
                7192855
                31772304
                88f7fcb6-ff97-4996-ad1a-b6db5e13fc07
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 June 2018
                : 10 November 2019
                : 12 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003977, Israel Science Foundation (ISF);
                Award ID: 1354/15
                Award ID: 991/16
                Award Recipient :
                Funded by: Advanced European Research Council (ERC-2016-ADG 741744). Consolidated Anti-Aging Foundation Chicago (2016-2017). Adelis Foundation (2018-2021).
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2020

                Molecular medicine
                autism spectrum disorders,neuroscience,schizophrenia,psychiatric disorders
                Molecular medicine
                autism spectrum disorders, neuroscience, schizophrenia, psychiatric disorders

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