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Optimising the energetic cost of the glutamatergic synapse

Lezmy, J; Harris, JJ; Attwell, D; (2021) Optimising the energetic cost of the glutamatergic synapse. Neuropharmacology , 197 , Article 108727. 10.1016/j.neuropharm.2021.108727. Green open access

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Abstract

As for electronic computation, neural information processing is energetically expensive. This is because information is coded in the brain as membrane voltage changes, which are generated largely by passive ion movements down electrochemical gradients, and these ion movements later need to be reversed by active ATP-dependent ion pumping. This article will review how much of the energetic cost of the brain reflects the activity of glutamatergic synapses, consider the relative amount of energy used pre- and postsynaptically, outline how evolution has energetically optimised synapse function by adjusting the presynaptic release probability and the postsynaptic number of glutamate receptors, and speculate on how energy use by synapses may be sensed and adjusted.

Type: Article
Title: Optimising the energetic cost of the glutamatergic synapse
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuropharm.2021.108727
Publisher version: https://doi.org/10.1016/j.neuropharm.2021.108727
Language: English
Additional information: This research was funded in whole, or in part, by a Wellcome Trust Investigator Award to DA. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
Keywords: Synapse, Glutamate, Energy, ATP, Information
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology
URI: https://discovery.ucl.ac.uk/id/eprint/10131970
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