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      Astrocyte-mediated switch in spike timing-dependent plasticity during hippocampal development

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          Abstract

          Presynaptic spike timing-dependent long-term depression (t-LTD) at hippocampal CA3-CA1 synapses is evident until the 3 rd postnatal week in mice, disappearing during the 4 th week. At more mature stages, we found that the protocol that induced t-LTD induced t-LTP. We characterized this form of t-LTP and the mechanisms involved in its induction, as well as that driving this switch from t-LTD to t-LTP. We found that this t-LTP is expressed presynaptically at CA3-CA1 synapses, as witnessed by coefficient of variation, number of failures, paired-pulse ratio and miniature responses analysis. Additionally, this form of presynaptic t-LTP does not require NMDARs but the activation of mGluRs and the entry of Ca 2+ into the postsynaptic neuron through L-type voltage-dependent Ca 2+ channels and the release of Ca 2+ from intracellular stores. Nitric oxide is also required as a messenger from the postsynaptic neuron. Crucially, the release of adenosine and glutamate by astrocytes is required for t-LTP induction and for the switch from t-LTD to t-LTP. Thus, we have discovered a developmental switch of synaptic transmission from t-LTD to t-LTP at hippocampal CA3-CA1 synapses in which astrocytes play a central role and revealed a form of presynaptic LTP and the rules for its induction.

          Abstract

          Presynaptic spike timing-dependent long-term depression at hippocampal CA3-CA1 synapses is evident until the third postnatal week in mice. The authors show that maturation beyond four weeks is associated with a switch to long-term potentiation in which astrocytes play a central role.

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          Most cited references81

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          Metabotropic glutamate receptors: physiology, pharmacology, and disease.

          The metabotropic glutamate receptors (mGluRs) are family C G-protein-coupled receptors that participate in the modulation of synaptic transmission and neuronal excitability throughout the central nervous system. The mGluRs bind glutamate within a large extracellular domain and transmit signals through the receptor protein to intracellular signaling partners. A great deal of progress has been made in determining the mechanisms by which mGluRs are activated, proteins with which they interact, and orthosteric and allosteric ligands that can modulate receptor activity. The widespread expression of mGluRs makes these receptors particularly attractive drug targets, and recent studies continue to validate the therapeutic utility of mGluR ligands in neurological and psychiatric disorders such as Alzheimer's disease, Parkinson's disease, anxiety, depression, and schizophrenia.
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            Astrocytic purinergic signaling coordinates synaptic networks.

            To investigate the role of astrocytes in regulating synaptic transmission, we generated inducible transgenic mice that express a dominant-negative SNARE domain selectively in astrocytes to block the release of transmitters from these glial cells. By releasing adenosine triphosphate, which accumulates as adenosine, astrocytes tonically suppressed synaptic transmission, thereby enhancing the dynamic range for long-term potentiation and mediated activity-dependent, heterosynaptic depression. These results indicate that astrocytes are intricately linked in the regulation of synaptic strength and plasticity and provide a pathway for synaptic cross-talk.
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              Cortical plasticity: from synapses to maps.

              It has been clear for almost two decades that cortical representations in adult animals are not fixed entities, but rather, are dynamic and are continuously modified by experience. The cortex can preferentially allocate area to represent the particular peripheral input sources that are proportionally most used. Alterations in cortical representations appear to underlie learning tasks dependent on the use of the behaviorally important peripheral inputs that they represent. The rules governing this cortical representational plasticity following manipulations of inputs, including learning, are increasingly well understood. In parallel with developments in the field of cortical map plasticity, studies of synaptic plasticity have characterized specific elementary forms of plasticity, including associative long-term potentiation and long-term depression of excitatory postsynaptic potentials. Investigators have made many important strides toward understanding the molecular underpinnings of these fundamental plasticity processes and toward defining the learning rules that govern their induction. The fields of cortical synaptic plasticity and cortical map plasticity have been implicitly linked by the hypothesis that synaptic plasticity underlies cortical map reorganization. Recent experimental and theoretical work has provided increasingly stronger support for this hypothesis. The goal of the current paper is to review the fields of both synaptic and cortical map plasticity with an emphasis on the work that attempts to unite both fields. A second objective is to highlight the gaps in our understanding of synaptic and cellular mechanisms underlying cortical representational plasticity.
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                Author and article information

                Contributors
                arodmor@upo.es
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                1 September 2020
                1 September 2020
                2020
                : 11
                : 4388
                Affiliations
                [1 ]GRID grid.15449.3d, ISNI 0000 0001 2200 2355, Laboratory of Cellular Neuroscience and Plasticity, Department of Physiology, Anatomy and Cell Biology, , Universidad Pablo de Olavide, ; ES-41013 Seville, Spain
                [2 ]GRID grid.411659.e, ISNI 0000 0001 2112 2750, Instituto de Fisiología, Benemérita Universidad Autónoma de Puebla, ; Puebla, México
                [3 ]GRID grid.10328.38, ISNI 0000 0001 2159 175X, Life and Health Sciences Research Institute (ICVS), School of Medicine, , University of Minho, ; 4710-057 Braga, Portugal
                [4 ]GRID grid.10328.38, ISNI 0000 0001 2159 175X, ICVS/3Bs - PT Government Associate Laboratory, ; Braga/Guimarães, Portugal
                [5 ]GRID grid.410922.c, ISNI 0000 0001 0180 6901, IPCA-EST-2Ai, Polytechnic Institute of Cávado and Ave, Applied Artificial Intelligence Laboratory, Campus of IPCA, ; Barcelos, Portugal
                Author information
                http://orcid.org/0000-0002-4514-0483
                http://orcid.org/0000-0002-5295-0169
                http://orcid.org/0000-0002-9206-0179
                http://orcid.org/0000-0002-1005-2328
                http://orcid.org/0000-0002-4100-2104
                http://orcid.org/0000-0002-8078-6175
                Article
                18024
                10.1038/s41467-020-18024-4
                7463247
                32873805
                ceabc1ef-f735-44ac-9158-3a1beffaae9f
                © The Author(s) 2020

                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
                : 16 October 2019
                : 31 July 2020
                Categories
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                © The Author(s) 2020

                Uncategorized
                neuroscience,synaptic plasticity,spike-timing-dependent plasticity
                Uncategorized
                neuroscience, synaptic plasticity, spike-timing-dependent plasticity

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