Literature DB >> 15681693

Mechanistic model of cardiac energy metabolism predicts localization of glycolysis to cytosolic subdomain during ischemia.

Lufang Zhou1, Jennifer E Salem, Gerald M Saidel, William C Stanley, Marco E Cabrera.   

Abstract

A new multidomain mathematical model of cardiac cellular metabolism was developed to simulate metabolic responses to reduced myocardial blood flow. The model is based on mass balances and reaction kinetics that describe transport and metabolic processes of 31 key chemical species in cardiac tissue. The model has three distinct domains (blood, cytosol, and mitochondria) with interdomain transport of chemical species. In addition to distinguishing between cytosol and mitochondria, the model includes a subdomain in the cytosol to account for glycolytic metabolic channeling. Myocardial ischemia was induced by a 60% reduction in coronary blood flow, and model simulations were compared with experimental data from anesthetized pigs. Simulations with a previous model without compartmentation showed a slow activation of glycogen breakdown and delayed lactate production compared with experimental results. The addition of a subdomain for glycolysis resulted in simulations showing faster rates of glycogen breakdown and lactate production that closely matched in vivo experimental data. The dynamics of redox (NADH/NAD+) and phosphorylation (ADP/ATP) states were also simulated. These controllers are coupled to energy transfer reactions and play key regulatory roles in the cytosol and mitochondria. Simulations showed a similar dynamic response of the mitochondrial redox state and the rate of pyruvate oxidation during ischemia. In contrast, the cytosolic redox state displayed a time response similar to that of lactate production. In conclusion, this novel mechanistic model effectively predicted the rapid activation of glycogen breakdown and lactate production at the onset of ischemia and supports the concept of localization of glycolysis to a subdomain of the cytosol.

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Year:  2005        PMID: 15681693     DOI: 10.1152/ajpheart.01030.2004

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  24 in total

1.  Linking flickering to waves and whole-cell oscillations in a mitochondrial network model.

Authors:  Melissa Nivala; Paavo Korge; Michael Nivala; James N Weiss; Zhilin Qu
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

2.  Bayesian flux balance analysis applied to a skeletal muscle metabolic model.

Authors:  Jenni Heino; Knarik Tunyan; Daniela Calvetti; Erkki Somersalo
Journal:  J Theor Biol       Date:  2007-04-10       Impact factor: 2.691

3.  Computer-aided analysis of biochemical mechanisms that increase metabolite and proton stability in the heart during severe hypoxia and generate post-ischemic PCr overshoot.

Authors:  Bernard Korzeniewski
Journal:  J Physiol Sci       Date:  2011-06-11       Impact factor: 2.781

4.  Modeling oxygen requirements in ischemic cardiomyocytes.

Authors:  Anthony D McDougal; C Forbes Dewey
Journal:  J Biol Chem       Date:  2017-05-09       Impact factor: 5.157

5.  Parallel activation of mitochondrial oxidative metabolism with increased cardiac energy expenditure is not dependent on fatty acid oxidation in pigs.

Authors:  Lufang Zhou; Marco E Cabrera; Hazel Huang; Celvie L Yuan; Duda K Monika; Naveen Sharma; Fang Bian; William C Stanley
Journal:  J Physiol       Date:  2006-12-21       Impact factor: 5.182

6.  Dynamic Bayesian sensitivity analysis of a myocardial metabolic model.

Authors:  D Calvetti; R Hageman; R Occhipinti; E Somersalo
Journal:  Math Biosci       Date:  2007-11-01       Impact factor: 2.144

7.  Role of NADH/NAD+ transport activity and glycogen store on skeletal muscle energy metabolism during exercise: in silico studies.

Authors:  Yanjun Li; Ranjan K Dash; Jaeyeon Kim; Gerald M Saidel; Marco E Cabrera
Journal:  Am J Physiol Cell Physiol       Date:  2008-10-01       Impact factor: 4.249

8.  Glycolytic Enzymes Localize to Synapses under Energy Stress to Support Synaptic Function.

Authors:  SoRi Jang; Jessica C Nelson; Eric G Bend; Lucelenie Rodríguez-Laureano; Felipe G Tueros; Luis Cartagenova; Katherine Underwood; Erik M Jorgensen; Daniel A Colón-Ramos
Journal:  Neuron       Date:  2016-04-07       Impact factor: 17.173

Review 9.  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

10.  A computational model of adipose tissue metabolism: evidence for intracellular compartmentation and differential activation of lipases.

Authors:  Jaeyeon Kim; Gerald M Saidel; Satish C Kalhan
Journal:  J Theor Biol       Date:  2007-12-15       Impact factor: 2.691

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