The overall objective of this proposed research remains the development and utilization of realistic mathematical network models of blood flow through microcirculatory system. These models should predict the local (as well as overall) flow parameters, such as the fluxes of plasma and cells (especially erythrocytes), and the responses of these variables to changes in such parameters as cell composition of the blood (hematocrit, white cell-red cell ratio, etc.), cell deformabilities and wall adhesivenesses, vessel parameters (diameters, lengths, cross sectional shapes, etc.) and pressures. These models would then be useful in predicting local concentrations and fluxes of oxygen and other substrates, metabolites, vasoactive agents, therapeutic drugs, etc. in microcirculatory vessels and adjacent tissue. They would also serve as a means of extending the usefulness of the limited amount of data which can be obtained in a single in vivo experiment, by providing a general framework through which the in vivo data can be more fully interpreted, as well as interpolated and extrapolated. This project will utilize altered blood cells from Projects 2 to determine the roles of cell deformability and volume in regulating blood flow through microvascular network, thereby permitting development of hemodynamic relationships which contain cell deformability and cell volume as independent parameters. Project 4 has been a major collaborator with this project, providing an opportunity to obtain in vivo microcirculatory data for testing hemodynamic relationships and computer simulation models; it has also provided us with an opportunity to test and improve currently used techniques for determining in vivo flow parameters. This collaboration will be expanded, and include computer simulation of in vivo flows studied in Project 4.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL018208-22
Application #
5213193
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
22
Fiscal Year
1996
Total Cost
Indirect Cost
Vats, Kanika; Marsh, Graham; Harding, Kristen et al. (2017) Nanoscale physicochemical properties of chain- and step-growth polymerized PEG hydrogels affect cell-material interactions. J Biomed Mater Res A 105:1112-1122
Henry, Steven J; Crocker, John C; Hammer, Daniel A (2016) Motile Human Neutrophils Sense Ligand Density Over Their Entire Contact Area. Ann Biomed Eng 44:886-94
Marsh, Graham; Waugh, Richard E (2016) A simple approach for bioactive surface calibration using evanescent waves. J Microsc 262:245-51
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Rocheleau, Anne D; Cao, Thong M; Takitani, Tait et al. (2016) Comparison of human and mouse E-selectin binding to Sialyl-Lewis(x). BMC Struct Biol 16:10
MacKay, Joanna L; Hammer, Daniel A (2016) Stiff substrates enhance monocytic cell capture through E-selectin but not P-selectin. Integr Biol (Camb) 8:62-72
Hind, Laurel E; Lurier, Emily B; Dembo, Micah et al. (2016) Effect of M1-M2 Polarization on the Motility and Traction Stresses of Primary Human Macrophages. Cell Mol Bioeng 9:455-465
Lim, Kihong; Hyun, Young-Min; Lambert-Emo, Kris et al. (2015) Visualization of integrin Mac-1 in vivo. J Immunol Methods 426:120-7
Beste, Michael T; Lomakina, Elena B; Hammer, Daniel A et al. (2015) Immobilized IL-8 Triggers Phagocytosis and Dynamic Changes in Membrane Microtopology in Human Neutrophils. Ann Biomed Eng 43:2207-19

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