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Non-linear leak currents affect mammalian neuron physiology

In their seminal works on squid giant axons, Hodgkin, and Huxley approximated the membrane leak current as Ohmic, i.e., linear, since in their preparation, sub-threshold current rectification due to the influence of ionic concentration is negligible. Most studies on mammalian neurons have made the s...

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Autores principales: Huang, Shiwei, Hong, Sungho, De Schutter, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635211/
https://www.ncbi.nlm.nih.gov/pubmed/26594148
http://dx.doi.org/10.3389/fncel.2015.00432
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author Huang, Shiwei
Hong, Sungho
De Schutter, Erik
author_facet Huang, Shiwei
Hong, Sungho
De Schutter, Erik
author_sort Huang, Shiwei
collection PubMed
description In their seminal works on squid giant axons, Hodgkin, and Huxley approximated the membrane leak current as Ohmic, i.e., linear, since in their preparation, sub-threshold current rectification due to the influence of ionic concentration is negligible. Most studies on mammalian neurons have made the same, largely untested, assumption. Here we show that the membrane time constant and input resistance of mammalian neurons (when other major voltage-sensitive and ligand-gated ionic currents are discounted) varies non-linearly with membrane voltage, following the prediction of a Goldman-Hodgkin-Katz-based passive membrane model. The model predicts that under such conditions, the time constant/input resistance-voltage relationship will linearize if the concentration differences across the cell membrane are reduced. These properties were observed in patch-clamp recordings of cerebellar Purkinje neurons (in the presence of pharmacological blockers of other background ionic currents) and were more prominent in the sub-threshold region of the membrane potential. Model simulations showed that the non-linear leak affects voltage-clamp recordings and reduces temporal summation of excitatory synaptic input. Together, our results demonstrate the importance of trans-membrane ionic concentration in defining the functional properties of the passive membrane in mammalian neurons as well as other excitable cells.
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spelling pubmed-46352112015-11-20 Non-linear leak currents affect mammalian neuron physiology Huang, Shiwei Hong, Sungho De Schutter, Erik Front Cell Neurosci Neuroscience In their seminal works on squid giant axons, Hodgkin, and Huxley approximated the membrane leak current as Ohmic, i.e., linear, since in their preparation, sub-threshold current rectification due to the influence of ionic concentration is negligible. Most studies on mammalian neurons have made the same, largely untested, assumption. Here we show that the membrane time constant and input resistance of mammalian neurons (when other major voltage-sensitive and ligand-gated ionic currents are discounted) varies non-linearly with membrane voltage, following the prediction of a Goldman-Hodgkin-Katz-based passive membrane model. The model predicts that under such conditions, the time constant/input resistance-voltage relationship will linearize if the concentration differences across the cell membrane are reduced. These properties were observed in patch-clamp recordings of cerebellar Purkinje neurons (in the presence of pharmacological blockers of other background ionic currents) and were more prominent in the sub-threshold region of the membrane potential. Model simulations showed that the non-linear leak affects voltage-clamp recordings and reduces temporal summation of excitatory synaptic input. Together, our results demonstrate the importance of trans-membrane ionic concentration in defining the functional properties of the passive membrane in mammalian neurons as well as other excitable cells. Frontiers Media S.A. 2015-11-06 /pmc/articles/PMC4635211/ /pubmed/26594148 http://dx.doi.org/10.3389/fncel.2015.00432 Text en Copyright © 2015 Huang, Hong and De Schutter. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Huang, Shiwei
Hong, Sungho
De Schutter, Erik
Non-linear leak currents affect mammalian neuron physiology
title Non-linear leak currents affect mammalian neuron physiology
title_full Non-linear leak currents affect mammalian neuron physiology
title_fullStr Non-linear leak currents affect mammalian neuron physiology
title_full_unstemmed Non-linear leak currents affect mammalian neuron physiology
title_short Non-linear leak currents affect mammalian neuron physiology
title_sort non-linear leak currents affect mammalian neuron physiology
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635211/
https://www.ncbi.nlm.nih.gov/pubmed/26594148
http://dx.doi.org/10.3389/fncel.2015.00432
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