Blood circulation is a complex system. At every moment a multitude of molecules are transported simultaneously and continuously to specific targets in the vasculature. The ability to regulate whole panels of molecules by controlling the circulating concentration of a single moiety, if discrete, could provide a powerful tool to understand the causes, prevention and treatment of cardiovascular disease and other disorders relating to blood vessels. Perlecan, an important molecule in blood vessel and tumor growth could be such a molecule. Our hypothesis is that, based on its high affinity for a number of growth factors that are crucial to normal and pathological vascular growth and development, circulating perlecan has the potential to sequester these growth factors in blood, preventing their interactions with vascular surfaces. Because of the complexity of this system, however, it is difficult to characterize at a macro level using in vitro or in vivo approaches alone. Computer modeling provides us with a powerful tool to test parameters and conditions, such as multiple ligand interactions in solution and on vascular surfaces under flow, which are crucial components in developing an accurate understanding. A simulated vessel model under flow will be used to test the predictive value of the model using a variety of testable conditions.
Our specific aims are to: 1. Develop a model of endothelial cell binding based on the binding characteristics of three growth factors and the proteoglycan perlecan 2. Test the model using competitive binding assays with growth factors alone or in combination with other factors as a function of perlecan concentration 3. Refine the model to mimic the interactions of the growth factors and perlecan under flow and adjust the model to accommodate changes between what is observed in experimental assays and what is predicted based on flow conditions Our model will be the first step in attaining our long range goal of designing and testing Pharmaceuticals that exploit similar regulatory characteristics. By using a systems biology approach the interrelatedness of the blood vessels and the components being transported through them will be characterized at the level of the organism as a whole.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL086644-03
Application #
7544966
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Goldman, Stephen
Project Start
2007-01-19
Project End
2010-12-31
Budget Start
2009-01-01
Budget End
2009-12-31
Support Year
3
Fiscal Year
2009
Total Cost
$331,032
Indirect Cost
Name
University of Kentucky
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
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Shin, Hainsworth Y; Underwood, Ryan M; Fannon, Michael W (2012) Fluid pressure is a magnitude-dependent modulator of early endothelial tubulogenic activity: implications related to a potential tissue-engineering control parameter. Tissue Eng Part A 18:2590-600
Wang, Yin; Zhang, Jun (2010) Fast and Robust Sixth Order Multigrid Computation for 3D Convection Diffusion Equation. J Comput Appl Math 234:3496-3506
Zhao, Bing; Zhang, Changjiang; Forsten-Williams, Kimberly et al. (2010) Endothelial cell capture of heparin-binding growth factors under flow. PLoS Comput Biol 6:e1000971
Shen, Wensheng; Zhang, Changjiang; Fannon, Michael W et al. (2009) A computational model of FGF-2 binding and HSPG regulation under flow. IEEE Trans Biomed Eng 56:2147-55
Forsten-Williams, Kimberly; Chu, Chia Lin; Fannon, Michael et al. (2008) Control of growth factor networks by heparan sulfate proteoglycans. Ann Biomed Eng 36:2134-48
Fannon, Michael; Forsten-Williams, Kimberly; Nugent, Matthew A et al. (2008) Sucrose octasulfate regulates fibroblast growth factor-2 binding, transport, and activity: potential for regulation of tumor growth. J Cell Physiol 215:434-41