Literature DB >> 17284165

Control over action potential, calcium peak and average fluxes in the cyclic quasi-steady-state ion transport system in cardiac myocytes: in silico studies.

Jaroslaw Dzbek1, Bernard Korzeniewski.   

Abstract

MCA (metabolic control analysis) was originally developed to deal with steady-state systems. In the present theoretical study, the control analysis is applied to the cyclic quasi-steady-state system of ion transport in cardiac myocytes. It is demonstrated that the metabolic control of particular components (channels, exchangers, pumps) of the system over such quasi-steady-state variables as action potential amplitude, action potential duration, area under the Ca2+ peak and average fluxes through particular channels during one oscillation period can be defined and calculated. It is shown that the control over particular variables in the analysed, periodical system is distributed among many (potentially all) components of the system. Nevertheless, some components seem to exert much more control than other components, and different variables are controlled to the greatest extent by different channels. Finally, it is hypothesized that the Na+ and K+ transport system exerts a significant control over the Ca2+ transport system, but not vice versa.

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Year:  2007        PMID: 17284165      PMCID: PMC1868790          DOI: 10.1042/BJ20061755

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  15 in total

1.  A metabolic control analysis of kinetic controls in ATP free energy metabolism in contracting skeletal muscle.

Authors:  J A Jeneson; H V Westerhoff; M J Kushmerick
Journal:  Am J Physiol Cell Physiol       Date:  2000-09       Impact factor: 4.249

2.  Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories.

Authors:  Brian P Ingalls; Herbert M Sauro
Journal:  J Theor Biol       Date:  2003-05-07       Impact factor: 2.691

Review 3.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

4.  Comments on: "Role of individual ionic current systems in ventricular cells hypothesized by a model study" by Matsuoka S, Sarai N, Kuratomi S, Ono K, and Noma A. Jpn J Physiol 53: 105-123, 2003.

Authors:  Thomas O'Hara; Keith Decker; Gregory Faber; Leonid Livshitz; Jonathan Silva; Yoram Rudy
Journal:  Jpn J Physiol       Date:  2004-10

Review 5.  A model of cardiac electrical activity incorporating ionic pumps and concentration changes.

Authors:  D DiFrancesco; D Noble
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1985-01-10       Impact factor: 6.237

6.  A linear steady-state treatment of enzymatic chains. General properties, control and effector strength.

Authors:  R Heinrich; T A Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

7.  Control analysis applied to the whole body: control by body organs over plasma concentrations and organ fluxes of substances in the blood.

Authors:  G C Brown
Journal:  Biochem J       Date:  1994-01-01       Impact factor: 3.857

Review 8.  Metabolic control analysis in drug discovery and disease.

Authors:  Marta Cascante; Laszlo G Boros; Begoña Comin-Anduix; Pedro de Atauri; Josep J Centelles; Paul W-N Lee
Journal:  Nat Biotechnol       Date:  2002-03       Impact factor: 54.908

9.  A dynamic model of the cardiac ventricular action potential. I. Simulations of ionic currents and concentration changes.

Authors:  C H Luo; Y Rudy
Journal:  Circ Res       Date:  1994-06       Impact factor: 17.367

10.  Summation theorems for flux and concentration control coefficients of dynamic systems.

Authors:  R Conradie; H V Westerhoff; J M Rohwer; J H S Hofmeyr; J L Snoep
Journal:  Syst Biol (Stevenage)       Date:  2006-09
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