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      Autism-like behaviours and enhanced memory formation and synaptic plasticity in Lrfn2/SALM1-deficient mice

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          Abstract

          Lrfn2/SALM1 is a PSD-95-interacting synapse adhesion molecule, and human LRFN2 is associated with learning disabilities. However its role in higher brain function and underlying mechanisms remain unknown. Here, we show that Lrfn2 knockout mice exhibit autism-like behavioural abnormalities, including social withdrawal, decreased vocal communications, increased stereotyped activities and prepulse inhibition deficits, together with enhanced learning and memory. In the hippocampus, the levels of synaptic PSD-95 and GluA1 are decreased. The synapses are structurally and functionally immature with spindle shaped spines, smaller postsynaptic densities, reduced AMPA/NMDA ratio, and enhanced LTP. In vitro experiments reveal that synaptic surface expression of AMPAR depends on the direct interaction between Lrfn2 and PSD-95. Furthermore, we detect functionally defective LRFN2 missense mutations in autism and schizophrenia patients. Together, these findings indicate that Lrfn2/LRFN2 serve as core components of excitatory synapse maturation and maintenance, and their dysfunction causes immature/silent synapses with pathophysiological state.

          Abstract

          Lrfn2/SALM1 is a synaptic adhesion molecule, and is known to interact with PSD-95. Here the authors show that Lrfn2 regulates excitatory synapse maturation and maintenance, and that Lrfn2 knockout mice exhibit autism-like behaviours as well as enhanced learning and memory.

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          Most cited references53

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          Behavioural phenotyping assays for mouse models of autism.

          Autism is a heterogeneous neurodevelopmental disorder of unknown aetiology that affects 1 in 100-150 individuals. Diagnosis is based on three categories of behavioural criteria: abnormal social interactions, communication deficits and repetitive behaviours. Strong evidence for a genetic basis has prompted the development of mouse models with targeted mutations in candidate genes for autism. As the diagnostic criteria for autism are behavioural, phenotyping these mouse models requires behavioural assays with high relevance to each category of the diagnostic symptoms. Behavioural neuroscientists are generating a comprehensive set of assays for social interaction, communication and repetitive behaviours to test hypotheses about the causes of autism. Robust phenotypes in mouse models hold great promise as translational tools for discovering effective treatments for components of autism spectrum disorders.
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            Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium.

            Common genetic polymorphisms may explain a portion of the heritable risk for common diseases. Within candidate genes, the number of common polymorphisms is finite, but direct assay of all existing common polymorphism is inefficient, because genotypes at many of these sites are strongly correlated. Thus, it is not necessary to assay all common variants if the patterns of allelic association between common variants can be described. We have developed an algorithm to select the maximally informative set of common single-nucleotide polymorphisms (tagSNPs) to assay in candidate-gene association studies, such that all known common polymorphisms either are directly assayed or exceed a threshold level of association with a tagSNP. The algorithm is based on the r(2) linkage disequilibrium (LD) statistic, because r(2) is directly related to statistical power to detect disease associations with unassayed sites. We show that, at a relatively stringent r(2) threshold (r2>0.8), the LD-selected tagSNPs resolve >80% of all haplotypes across a set of 100 candidate genes, regardless of recombination, and tag specific haplotypes and clades of related haplotypes in nonrecombinant regions. Thus, if the patterns of common variation are described for a candidate gene, analysis of the tagSNP set can comprehensively interrogate for main effects from common functional variation. We demonstrate that, although common variation tends to be shared between populations, tagSNPs should be selected separately for populations with different ancestries.
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              Balancing structure and function at hippocampal dendritic spines.

              Dendritic spines are the primary recipients of excitatory input in the central nervous system. They provide biochemical compartments that locally control the signaling mechanisms at individual synapses. Hippocampal spines show structural plasticity as the basis for the physiological changes in synaptic efficacy that underlie learning and memory. Spine structure is regulated by molecular mechanisms that are fine-tuned and adjusted according to developmental age, level and direction of synaptic activity, specific brain region, and exact behavioral or experimental conditions. Reciprocal changes between the structure and function of spines impact both local and global integration of signals within dendrites. Advances in imaging and computing technologies may provide the resources needed to reconstruct entire neural circuits. Key to this endeavor is having sufficient resolution to determine the extrinsic factors (such as perisynaptic astroglia) and the intrinsic factors (such as core subcellular organelles) that are required to build and maintain synapses.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                12 June 2017
                2017
                : 8
                : 15800
                Affiliations
                [1 ]Laboratory for Behavioral and Developmental Disorders, RIKEN Brain Science Institute (BSI) Wako , Saitama 351-0198, Japan
                [2 ]Department of Integrative Physiology, Shiga University of Medical Science , Otsu, Shiga 520-2192, Japan
                [3 ]Education and Research Support Center, Gunma University Graduate School of Medicine , Maebashi, Gunma 371-8511, Japan
                [4 ]Laboratory for Behavioral Genetics, RIKEN Brain Science Institute (BSI) Wako , Saitama 351-0198, Japan
                [5 ]Department of Medical Pharmacology, Nagasaki University Graduate School of Biomedical Sciences , Nagasaki, Nagasaki 852-8523, Japan
                [6 ]Laboratory for Molecular Psychiatry, RIKEN Brain Science Institute (BSI) Wako , Saitama 351-0198, Japan
                [7 ]Department of Neuropsychiatry, Hirosaki University School of Medicine , Hirosaki, Aomori 036-8562, Japan
                [8 ]Research Center for Child Mental Development, University of Fukui , Yoshida-gun, Fukui 910-1193, Japan
                [9 ]Faculty of Contemporary Sociology, Chukyo University , Toyota, Aichi 470-0393, Japan
                [10 ]Support Unit for Animal Experiments, RIKEN Brain Science Institute (BSI) Wako , Saitama 351-0198, Japan
                Author notes
                Author information
                http://orcid.org/0000-0003-0527-4644
                Article
                ncomms15800
                10.1038/ncomms15800
                5472790
                28604739
                345bc632-7820-49a3-9dcd-1d2af45ccc1b
                Copyright © 2017, The Author(s)

                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
                : 29 July 2016
                : 04 May 2017
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