Vivaan Patel, Joshua D. Priosoetanto, Aashutosh Mistry, John Newman, Nitash P. Balsara
{"title":"A Primitive Model for Predicting Membrane Currents in Excitable Cells Based Only on Ion Diffusion Coefficients","authors":"Vivaan Patel, Joshua D. Priosoetanto, Aashutosh Mistry, John Newman, Nitash P. Balsara","doi":"arxiv-2407.09474","DOIUrl":null,"url":null,"abstract":"Classical models for predicting current flow in excitable cells such as\naxons, originally proposed by Hodgkin and Huxley, rely on empirical\nvoltage-gating parameters that quantify ion transport across sodium and\npotassium ion channels. We propose a primitive model for predicting these\ncurrents based entirely on well-established ion diffusion coefficients. Changes\ninside the excitable cell due to the opening of a central sodium channel are\nconfined to a growing hemisphere with a radius that is governed by the sodium\nion diffusion coefficient. The sodium channel, which is open throughout the\ncalculation, activates and deactivates naturally due to coupled\nelectrodiffusion processes. The characteristic time of current pulses, which\nare in the picoampere range, increases from 10$^{-5}$ to 10$^{-1}$ s as channel\ndensity is decreased from 10,000 to 1 channel per micrometer squared. Model\npredictions are compared with data obtained from giant squid axons without\ninvoking any gating parameters.","PeriodicalId":501321,"journal":{"name":"arXiv - QuanBio - Cell Behavior","volume":"75 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Cell Behavior","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.09474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Classical models for predicting current flow in excitable cells such as
axons, originally proposed by Hodgkin and Huxley, rely on empirical
voltage-gating parameters that quantify ion transport across sodium and
potassium ion channels. We propose a primitive model for predicting these
currents based entirely on well-established ion diffusion coefficients. Changes
inside the excitable cell due to the opening of a central sodium channel are
confined to a growing hemisphere with a radius that is governed by the sodium
ion diffusion coefficient. The sodium channel, which is open throughout the
calculation, activates and deactivates naturally due to coupled
electrodiffusion processes. The characteristic time of current pulses, which
are in the picoampere range, increases from 10$^{-5}$ to 10$^{-1}$ s as channel
density is decreased from 10,000 to 1 channel per micrometer squared. Model
predictions are compared with data obtained from giant squid axons without
invoking any gating parameters.