Motivated by the need to design minimally-invasive treatments for wide-necked cerebral aneurysms, we used computational modeling to assess aneurysm hemodynamics, examined in vitro cellular responses arising from mechanical and chemical stresses, and designed novel materials that cooperatively adhere to the endothelium. We first hypothesized that because aneurysm geometry plays an important role in hemodynamics, changes in flow patterns may affect the shear stress experienced on the aneurysm wall. We defined flow regimes based on aneurysm hemodynamic and geometric parameters, which may correlate with aneurysm rupture. Because of the direct contact between endothelial cells (ECs) and blood flow, we then evaluated how changes in hemodynamics and inflammatory cytokines affect the expression of cell adhesion molecules (CAMs) and matrix remodeling factors on ECs. We subsequently designed biomaterials that complement the dynamic EC surface and have the ability to conform to any geometry through in situ crosslinking. Antibody-conjugated hydrogels facilitated synergistic EC adhesion using cooperativity as an adhesion strategy. We optimized the presentation of antibodies to inflammatory CAMs on polyvinyl alcohol (PVA) and alginate hydrogels to achieve strong adhesion to inflamed ECs. We synthesized photocrosslinkable, aminated PVA hydrogels and determined the effect of substrate stiffness on cell adhesion. We also evaluated the effects of antibody presentation on cell adhesion strength and dynamics using alginate hydrogels. Taken together, the results of this work may be used to design hydrogels for vascular remodeling applications under shear stress, including embolic agents for cerebral aneurysms. / Engineering and Applied Sciences
| Identifer | oai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/9306423 |
| Date | 18 December 2012 |
| Creators | Rafat, Marjan |
| Contributors | Auguste, Debra T. |
| Publisher | Harvard University |
| Source Sets | Harvard University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Rights | open |
Page generated in 0.0023 seconds