Literature DB >> 18080210

A mathematical model of fatigue in skeletal muscle force contraction.

Paul R Shorten1, Paul O'Callaghan, John B Davidson, Tanya K Soboleva.   

Abstract

The ability for muscle to repeatedly generate force is limited by fatigue. The cellular mechanisms behind muscle fatigue are complex and potentially include breakdown at many points along the excitation-contraction pathway. In this paper we construct a mathematical model of the skeletal muscle excitation-contraction pathway based on the cellular biochemical events that link excitation to contraction. The model includes descriptions of membrane voltage, calcium cycling and crossbridge dynamics and was parameterised and validated using the response characteristics of mouse skeletal muscle to a range of electrical stimuli. This model was used to uncover the complexities of skeletal muscle fatigue. We also parameterised our model to describe force kinetics in fast and slow twitch fibre types, which have a number of biochemical and biophysical differences. How these differences interact to generate different force/fatigue responses in fast- and slow- twitch fibres is not well understood and we used our modelling approach to bring new insights to this relationship.

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Year:  2007        PMID: 18080210     DOI: 10.1007/s10974-007-9125-6

Source DB:  PubMed          Journal:  J Muscle Res Cell Motil        ISSN: 0142-4319            Impact factor:   2.698


  63 in total

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Journal:  Biophys J       Date:  2000-06       Impact factor: 4.033

Review 2.  Events of the excitation-contraction-relaxation (E-C-R) cycle in fast- and slow-twitch mammalian muscle fibres relevant to muscle fatigue.

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Journal:  J Physiol       Date:  2001-11-01       Impact factor: 5.182

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Authors:  M W Fryer; J M West; D G Stephenson
Journal:  J Muscle Res Cell Motil       Date:  1997-04       Impact factor: 2.698

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10.  Anomalous ion diffusion within skeletal muscle transverse tubule networks.

Authors:  Paul R Shorten; Tanya K Soboleva
Journal:  Theor Biol Med Model       Date:  2007-05-17       Impact factor: 2.432

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  18 in total

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2.  Study of the union method of microelectrode array and AFM for the recording of electromechanical activities in living cardiomyocytes.

Authors:  Jian Tian; Chunlong Tu; Bobo Huang; Yitao Liang; Jian Zhou; Xuesong Ye
Journal:  Eur Biophys J       Date:  2016-12-23       Impact factor: 1.733

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Journal:  J Appl Physiol (1985)       Date:  2012-10-18

4.  Effects of membrane depolarization and changes in extracellular [K(+)] on the Ca (2+) transients of fast skeletal muscle fibers. Implications for muscle fatigue.

Authors:  Marbella Quiñonez; Fernando González; Consuelo Morgado-Valle; Marino DiFranco
Journal:  J Muscle Res Cell Motil       Date:  2010-01-05       Impact factor: 2.698

5.  Mechanisms of in vivo muscle fatigue in humans: investigating age-related fatigue resistance with a computational model.

Authors:  Damien M Callahan; Brian R Umberger; Jane A Kent
Journal:  J Physiol       Date:  2016-03-02       Impact factor: 5.182

6.  A physiologically based, multi-scale model of skeletal muscle structure and function.

Authors:  O Röhrle; J B Davidson; A J Pullan
Journal:  Front Physiol       Date:  2012-09-13       Impact factor: 4.566

7.  Predicting non-isometric fatigue induced by electrical stimulation pulse trains as a function of pulse duration.

Authors:  M Susan Marion; Anthony S Wexler; Maury L Hull
Journal:  J Neuroeng Rehabil       Date:  2013-02-02       Impact factor: 4.262

8.  Spreading out muscle mass within a Hill-type model: a computer simulation study.

Authors:  Michael Günther; Oliver Röhrle; Daniel F B Haeufle; Syn Schmitt
Journal:  Comput Math Methods Med       Date:  2012-11-22       Impact factor: 2.238

9.  A computational model of torque generation: neural, contractile, metabolic and musculoskeletal components.

Authors:  Damien M Callahan; Brian R Umberger; Jane A Kent-Braun
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

10.  Anatomically based lower limb nerve model for electrical stimulation.

Authors:  Juliana H K Kim; John B Davidson; Oliver Röhrle; Tanya K Soboleva; Andrew J Pullan
Journal:  Biomed Eng Online       Date:  2007-12-17       Impact factor: 2.819

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