The processes governing the rates of ATP synthesis and hydrolysis are of critical importance during coronary underperfusion, since myocardial energy metabolism plays a primary role in the death or survival of myocardial tissue. Analysis of myocardial phosphoenergetics is dominated by the thermodynamic view of a closed system, since high energy phosphate compounds have low membrane permeability. However, data on the timecourse of myocardial phosphocreatine (PCr) and ATP (NMR spectroscopy) during coronary underperfusion can only be described by an open phosphoenergetic system, in which ATP breakdown during ischemia causes the production of adenosine, which is membrane permeable and effluxes from the system. By accounting for novel open system kinetics using a preliminary model, we obtained the surprising result that even when coronary flow was reduced by 95% from baseline, the matching of the rates of ATP synthesis and hydrolysis was just as precise as under control conditions. To confir m this finding and explore the metabolic pathways that regulate energy metabolism during ischemia, we propose a more complete nonlinear open system model, linking the myocardial high energy phosphate system with the metabolic pathways producing membrane permeable adenosine. First, an ODE solver will be used to describe intracellular metabolism, an interstitial region, and a uniform vascular space. Next, the cell model will be embedded in the axially distributed convection-diffusion blood-tissue exchange (BTEX) architecture, to include vascular transport of oxygen and nucleosides. Finally, the model will be extended for a more complete description of adenosine pathways, including adenosine uptake in capillary endothelial cells. The combination of an accurate model and high resolution kinetic data will provide completely new insight on the regulation of myocardial energy metabolism during ischemia.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001243-18
Application #
6119771
Study Section
Project Start
1998-12-16
Project End
1999-11-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
18
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98195
Bassingthwaighte, James B; Butterworth, Erik; Jardine, Bartholomew et al. (2012) Compartmental modeling in the analysis of biological systems. Methods Mol Biol 929:391-438
Dash, Ranjan K; Bassingthwaighte, James B (2010) Erratum to: Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 38:1683-701
Bassingthwaighte, James B; Raymond, Gary M; Butterworth, Erik et al. (2010) Multiscale modeling of metabolism, flows, and exchanges in heterogeneous organs. Ann N Y Acad Sci 1188:111-20
Dash, Ranjan K; Bassingthwaighte, James B (2006) Simultaneous blood-tissue exchange of oxygen, carbon dioxide, bicarbonate, and hydrogen ion. Ann Biomed Eng 34:1129-48
Dash, Ranjan K; Bassingthwaighte, James B (2004) Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 32:1676-93
Kellen, Michael R; Bassingthwaighte, James B (2003) Transient transcapillary exchange of water driven by osmotic forces in the heart. Am J Physiol Heart Circ Physiol 285:H1317-31
Kellen, Michael R; Bassingthwaighte, James B (2003) An integrative model of coupled water and solute exchange in the heart. Am J Physiol Heart Circ Physiol 285:H1303-16
Wang, C Y; Bassingthwaighte, J B (2001) Capillary supply regions. Math Biosci 173:103-14
Swanson, K R; True, L D; Lin, D W et al. (2001) A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth: an explanation for a medical anomaly. Am J Pathol 158:2195-9
Swanson, K R; Alvord Jr, E C; Murray, J D (2000) A quantitative model for differential motility of gliomas in grey and white matter. Cell Prolif 33:317-29

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