Mechanisms of the end-plate potential noise and its implication for the neuromuscular junction anatomy.


Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
07 05 2022
Historique:
received: 13 08 2021
revised: 25 01 2022
accepted: 03 03 2022
pubmed: 15 3 2022
medline: 6 4 2022
entrez: 14 3 2022
Statut: ppublish

Résumé

We construct a compact model to mimic the membrane voltage response to the concentration of acetylcholine ([ACh]) which is mediated by the stochastic gating of acetylcholine (ACh) receptors. The patterns of the voltage depolarization against [ACh] as well as the accompanying voltage noises are presented. The mechanism of the voltage fluctuation that caused by the stochastic gating of receptors is explained. We consider that our results explain the frequently observed "end-plate (potential) noise" in physiology and electromyographic literature. These results, together with the requirements of evolution pressure on the motor units, explain reasonably the anatomical structure of the neuromuscular junction.

Identifiants

pubmed: 35283183
pii: S0022-5193(22)00087-X
doi: 10.1016/j.jtbi.2022.111089
pii:
doi:

Substances chimiques

Acetylcholine N9YNS0M02X

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111089

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jia-Zeng Wang (JZ)

School of Mathematics and Statistics, Beijing Technology and Business University, Beijing 100048, PR China. Electronic address: wangjiazeng@th.btbu.edu.cn.

Zhuo-Jun Shen (ZJ)

School of Mathematics and Statistics, Beijing Technology and Business University, Beijing 100048, PR China. Electronic address: 1737342461@qq.com.

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Classifications MeSH