This proposal is for the 17th through 21st years of the Simulation Resource for Circulatory Mass Transport and Exchanges at the University of Washington. Investigators from the University of Washington, Vanderbilt University, Michigan State University, University of Minnesota, Medical College of Wisconsin, the Mayo Clinic, McGill University, and Universities in the Netherlands, Italy, Hungary, and Germany collaborate in the development of computer models and/or the analysis of data from experimental studies. The modeling analysis efforts of about 25 investigators are focused on the kinetics of blood-tissue exchanges in well-perfused organs such as the normal heart, lung and brain, and on approaches to assessment of both physiologic and pathophysiologic states such as ischemia, injury, and abnormalities of function and metabolism. Particular emphasis is on the development and application of methods of interpreting data from positron emission tomography (PET) and multiple tracer indicator dilution studies. The proposed program has three sections. Section I concerns the development of analysis techniques for investigator-managed simulation analysis tools such as XSIM, a graphical simulation interface that funs under X-windows. Additional tools for fractal analysis and for functional imaging and visualization will be developed. Section II focuses on the development of models for mass transport and exchange. Section III contains 17 projects for which no funding is requested. These projects exemplify the application of the technology developed in the Resource to the analysis of experimental and clinical data. Included are projects on metabolic imaging of tumors and of regional cardiopulmonary metabolism and flows, heterogeneity of lung ventilation and perfusions, the metabolism of adenosine, amino acids and fatty acids in the heart, oxygen consumption in the heart, myocardial flow studies, and studies of brain microcirculation. The projects are supported by four Cores: computational facility; software development and maintenance, dissemination and training and administration.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001243-18
Application #
2839480
Study Section
Special Emphasis Panel (ZRG7-SSS-9 (02))
Program Officer
Farber, Gregory K
Project Start
1981-09-17
Project End
2002-11-30
Budget Start
1998-12-16
Budget End
1999-11-30
Support Year
18
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Washington
Department
Biomedical Engineering
Type
Schools of Engineering
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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