Cargando…

Inhibitory control in neuronal networks relies on the extracellular matrix integrity

Inhibitory control is essential for the regulation of neuronal network activity, where excitatory and inhibitory synapses can act synergistically, reciprocally, and antagonistically. Sustained excitation-inhibition (E-I) balance, therefore, relies on the orchestrated adjustment of excitatory and inh...

Descripción completa

Detalles Bibliográficos
Autores principales: Dzyubenko, Egor, Fleischer, Michael, Manrique-Castano, Daniel, Borbor, Mina, Kleinschnitz, Christoph, Faissner, Andreas, Hermann, Dirk M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257544/
https://www.ncbi.nlm.nih.gov/pubmed/34128077
http://dx.doi.org/10.1007/s00018-021-03861-3
_version_ 1783718336664698880
author Dzyubenko, Egor
Fleischer, Michael
Manrique-Castano, Daniel
Borbor, Mina
Kleinschnitz, Christoph
Faissner, Andreas
Hermann, Dirk M.
author_facet Dzyubenko, Egor
Fleischer, Michael
Manrique-Castano, Daniel
Borbor, Mina
Kleinschnitz, Christoph
Faissner, Andreas
Hermann, Dirk M.
author_sort Dzyubenko, Egor
collection PubMed
description Inhibitory control is essential for the regulation of neuronal network activity, where excitatory and inhibitory synapses can act synergistically, reciprocally, and antagonistically. Sustained excitation-inhibition (E-I) balance, therefore, relies on the orchestrated adjustment of excitatory and inhibitory synaptic strength. While growing evidence indicates that the brain’s extracellular matrix (ECM) is a crucial regulator of excitatory synapse plasticity, it remains unclear whether and how the ECM contributes to inhibitory control in neuronal networks. Here we studied the simultaneous changes in excitatory and inhibitory connectivity after ECM depletion. We demonstrate that the ECM supports the maintenance of E-I balance by retaining inhibitory connectivity. Quantification of synapses and super-resolution microscopy showed that depletion of the ECM in mature neuronal networks preferentially decreases the density of inhibitory synapses and the size of individual inhibitory postsynaptic scaffolds. The reduction of inhibitory synapse density is partially compensated by the homeostatically increasing synaptic strength via the reduction of presynaptic GABA(B) receptors, as indicated by patch-clamp measurements and GABA(B) receptor expression quantifications. However, both spiking and bursting activity in neuronal networks is increased after ECM depletion, as indicated by multi-electrode recordings. With computational modelling, we determined that ECM depletion reduces the inhibitory connectivity to an extent that the inhibitory synapse scaling does not fully compensate for the reduced inhibitory synapse density. Our results indicate that the brain’s ECM preserves the balanced state of neuronal networks by supporting inhibitory control via inhibitory synapse stabilization, which expands the current understanding of brain activity regulation. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00018-021-03861-3.
format Online
Article
Text
id pubmed-8257544
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-82575442021-07-09 Inhibitory control in neuronal networks relies on the extracellular matrix integrity Dzyubenko, Egor Fleischer, Michael Manrique-Castano, Daniel Borbor, Mina Kleinschnitz, Christoph Faissner, Andreas Hermann, Dirk M. Cell Mol Life Sci Original Article Inhibitory control is essential for the regulation of neuronal network activity, where excitatory and inhibitory synapses can act synergistically, reciprocally, and antagonistically. Sustained excitation-inhibition (E-I) balance, therefore, relies on the orchestrated adjustment of excitatory and inhibitory synaptic strength. While growing evidence indicates that the brain’s extracellular matrix (ECM) is a crucial regulator of excitatory synapse plasticity, it remains unclear whether and how the ECM contributes to inhibitory control in neuronal networks. Here we studied the simultaneous changes in excitatory and inhibitory connectivity after ECM depletion. We demonstrate that the ECM supports the maintenance of E-I balance by retaining inhibitory connectivity. Quantification of synapses and super-resolution microscopy showed that depletion of the ECM in mature neuronal networks preferentially decreases the density of inhibitory synapses and the size of individual inhibitory postsynaptic scaffolds. The reduction of inhibitory synapse density is partially compensated by the homeostatically increasing synaptic strength via the reduction of presynaptic GABA(B) receptors, as indicated by patch-clamp measurements and GABA(B) receptor expression quantifications. However, both spiking and bursting activity in neuronal networks is increased after ECM depletion, as indicated by multi-electrode recordings. With computational modelling, we determined that ECM depletion reduces the inhibitory connectivity to an extent that the inhibitory synapse scaling does not fully compensate for the reduced inhibitory synapse density. Our results indicate that the brain’s ECM preserves the balanced state of neuronal networks by supporting inhibitory control via inhibitory synapse stabilization, which expands the current understanding of brain activity regulation. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00018-021-03861-3. Springer International Publishing 2021-06-15 2021 /pmc/articles/PMC8257544/ /pubmed/34128077 http://dx.doi.org/10.1007/s00018-021-03861-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Dzyubenko, Egor
Fleischer, Michael
Manrique-Castano, Daniel
Borbor, Mina
Kleinschnitz, Christoph
Faissner, Andreas
Hermann, Dirk M.
Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title_full Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title_fullStr Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title_full_unstemmed Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title_short Inhibitory control in neuronal networks relies on the extracellular matrix integrity
title_sort inhibitory control in neuronal networks relies on the extracellular matrix integrity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257544/
https://www.ncbi.nlm.nih.gov/pubmed/34128077
http://dx.doi.org/10.1007/s00018-021-03861-3
work_keys_str_mv AT dzyubenkoegor inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT fleischermichael inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT manriquecastanodaniel inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT borbormina inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT kleinschnitzchristoph inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT faissnerandreas inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity
AT hermanndirkm inhibitorycontrolinneuronalnetworksreliesontheextracellularmatrixintegrity