Literature DB >> 17581855

Adenine nucleotide-creatine-phosphate module in myocardial metabolic system explains fast phase of dynamic regulation of oxidative phosphorylation.

Johannes H G M van Beek1.   

Abstract

Computational models of a large metabolic system can be assembled from modules that represent a biological function emerging from interaction of a small subset of molecules. A "skeleton model" is tested here for a module that regulates the first phase of dynamic adaptation of oxidative phosphorylation (OxPhos) to demand in heart muscle cells. The model contains only diffusion, mitochondrial outer membrane (MOM) permeation, and two isoforms of creatine kinase (CK), in cytosol and mitochondrial intermembrane space (IMS), respectively. The communication with two neighboring modules occurs via stimulation of mitochondrial ATP production by ADP and P(i) from the IMS and via time-varying cytosolic ATP hydrolysis during contraction. Assuming normal cytosolic diffusion and high MOM permeability for ADP, the response time of OxPhos (t(mito); generalized time constant) to steps in cardiac pacing rate is predicted to be 2.4 s. In contrast, with low MOM permeability, t(mito) is predicted to be 15 s. An optimized MOM permeability of 21 mum/s gives t(mito) = 3.7 s, in agreement with experiments on rabbit heart with blocked glycolytic ATP synthesis. The model correctly predicts a lower t(mito) if CK activity is reduced by 98%. Among others, the following predictions result from the model analysis: 1) CK activity buffers large ADP oscillations; 2) ATP production is pulsatile in beating heart, although it adapts slowly to demand with "time constant" approximately 14 heartbeats; 3) if the muscle isoform of CK is overexpressed, OxPhos reacts slower to changing workload; and 4) if mitochondrial CK is overexpressed, OxPhos reacts faster.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17581855     DOI: 10.1152/ajpcell.00355.2006

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  18 in total

1.  Glycolytic oscillations in isolated rabbit ventricular myocytes.

Authors:  Jun-Hai Yang; Ling Yang; Zhilin Qu; James N Weiss
Journal:  J Biol Chem       Date:  2008-10-23       Impact factor: 5.157

2.  Molecular and subcellular-scale modeling of nucleotide diffusion in the cardiac myofilament lattice.

Authors:  Peter M Kekenes-Huskey; Tao Liao; Andrew K Gillette; Johan E Hake; Yongjie Zhang; Anushka P Michailova; Andrew D McCulloch; J Andrew McCammon
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

3.  Linking cellular energetics to local flow regulation in the heart.

Authors:  James B Bassingthwaighte
Journal:  Ann N Y Acad Sci       Date:  2008-03       Impact factor: 5.691

Review 4.  Matching ATP supply and demand in mammalian heart: in vivo, in vitro, and in silico perspectives.

Authors:  Yael Yaniv; Magdalena Juhaszova; H Bradley Nuss; Su Wang; Dmitry B Zorov; Edward G Lakatta; Steven J Sollott
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

5.  Kir6.2 limits Ca(2+) overload and mitochondrial oscillations of ventricular myocytes in response to metabolic stress.

Authors:  Nina M Storey; Rebecca C Stratton; Richard D Rainbow; Nicholas B Standen; David Lodwick
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-09-06       Impact factor: 4.733

6.  Predicting the influence of long-range molecular interactions on macroscopic-scale diffusion by homogenization of the Smoluchowski equation.

Authors:  P M Kekenes-Huskey; A K Gillette; J A McCammon
Journal:  J Chem Phys       Date:  2014-05-07       Impact factor: 3.488

Review 7.  Integrative modeling of the cardiac ventricular myocyte.

Authors:  Raimond L Winslow; Sonia Cortassa; Brian O'Rourke; Yasmin L Hashambhoy; John Jeremy Rice; Joseph L Greenstein
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-09-23

8.  On the theoretical limits of detecting cyclic changes in cardiac high-energy phosphates and creatine kinase reaction kinetics using in vivo ³¹P MRS.

Authors:  Kilian Weiss; Paul A Bottomley; Robert G Weiss
Journal:  NMR Biomed       Date:  2015-04-23       Impact factor: 4.044

Review 9.  Application of the principles of systems biology and Wiener's cybernetics for analysis of regulation of energy fluxes in muscle cells in vivo.

Authors:  Rita Guzun; Valdur Saks
Journal:  Int J Mol Sci       Date:  2010-03-08       Impact factor: 6.208

Review 10.  Modeling to link regional myocardial work, metabolism and blood flows.

Authors:  James B Bassingthwaighte; Daniel A Beard; Brian E Carlson; Ranjan K Dash; Kalyan Vinnakota
Journal:  Ann Biomed Eng       Date:  2012-08-23       Impact factor: 3.934

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.