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1.
Tissue Eng Part A ; 18(23-24): 2590-600, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22793042

ABSTRACT

A significant barrier to the success of engineered tissues is the inadequate transport of nutrients and gases to, and waste away from, cells within the constructs, after implantation. Generation of microtubular networks by endothelial cells in engineered constructs to mimic the in vivo transport scheme is essential for facilitating tissue survival by promoting the in vitro formation of microvessels that integrate with host microvasculature, after implantation. Previously, we reported that select pressures stimulate endothelial proliferation involving protubulogenic molecules such as fibroblast growth factor-2 (FGF-2) and vascular endothelial growth factor-C (VEGF-C). Based on this, we investigated fluid pressure as a selective modulator of early tubulogenic activity with the intent of assessing the potential utility of this mechanical stimulus as a tissue-engineering control parameter. For this purpose, we used a custom pressure system to expose two-dimensional (2D) and three-dimensional (3D) cultures of endothelial cells to static pressures of 0 (controls), 20, or 40 mmHg for 3 days. Compared to controls, 2D endothelial cultures exposed to 20, but not 40 mmHg, exhibited significantly (p<0.05) enhanced cell growth that depended on VEGF receptor-3 (VEGFR-3), a receptor for VEGF-C. Moreover, endothelial cells grown on microbeads and suspended in 3D collagen gels under 20 mmHg, but not 40 mmHg, displayed significantly (p<0.05) increased sprout formation. Interestingly, pressure-dependent proliferation and sprout formation occurred in parallel with pressure-sensitive upregulation of VEGF-C and VEGFR-3 expression and were sensitive to local FGF-2 levels. Collectively, the results of the present study provided evidence that early endothelial-related tubulogenic activity depends on local hydrostatic pressure levels in the context of local growth factor conditions. In addition to relevance to microvascular diseases associated with interstitial hypertension (e.g., cancer and glaucoma), these findings provided first insight into the potential utility of hydrostatic pressure as a fine-tune control parameter to optimize microvascularization of tissue-engineering constructs in the in vitro setting before their implantation.


Subject(s)
Biological Transport , Endothelial Cells/cytology , Hydrostatic Pressure , Neovascularization, Physiologic/physiology , Tissue Engineering/methods , Animals , Capillaries/cytology , Cattle , Cell Culture Techniques/instrumentation , Cell Division/drug effects , Cells, Cultured/cytology , Cells, Cultured/drug effects , Cellular Microenvironment , Collagen , Endothelial Cells/drug effects , Endothelium, Vascular/cytology , Fibroblast Growth Factor 2/pharmacology , Fibroblast Growth Factor 2/physiology , Hydrogels , Indoles/pharmacology , Microspheres , Morphogenesis/drug effects , Naphthalenes/pharmacology , Neovascularization, Physiologic/drug effects , Vascular Endothelial Growth Factor A/pharmacology , Vascular Endothelial Growth Factor C/physiology , Vascular Endothelial Growth Factor Receptor-3/antagonists & inhibitors , Vascular Endothelial Growth Factor Receptor-3/physiology
2.
IEEE Trans Biomed Eng ; 56(9): 2147-55, 2009 Sep.
Article in English | MEDLINE | ID: mdl-19272950

ABSTRACT

A novel convection-diffusion-reaction model is developed to simulate fibroblast growth factor (FGF-2) binding to cell surface receptors (FGFRs) and heparan sulfate proteoglycans (HSPGs) under flow conditions within a cylindrical-shaped vessel or capillary. The model consists of a set of coupled nonlinear partial differential equations (PDEs) and a set of coupled nonlinear ordinary differential equations (ODEs). The time-dependent PDE system is discretized and solved by a second-order implicit Euler scheme using the finite volume method. The ODE system is solved by a stiff ODE solver VODE using backward differencing formulation (BDF). The transient solution of FGF-2, FGFR, HSPG, and their bound complexes for three different flow rates are computed and presented. Simulation results indicate that the model can predict growth factor transport and binding to receptors with/without the presence of heparan sulfate, as well as the effect of flow rate on growth factor-receptor binding. Our computational model may provide a useful means to investigate the impact of fluid flow on growth factor dynamics, and ultimately, signaling within the circulation.


Subject(s)
Computer Simulation , Fibroblast Growth Factor 2/metabolism , Heparan Sulfate Proteoglycans/metabolism , Models, Biological , Receptors, Fibroblast Growth Factor/metabolism , Algorithms , Bioreactors , Kinetics , Ligands , Nonlinear Dynamics , Protein Binding , Reproducibility of Results , Rheology
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