This application is part of a package of four individual R01 applications. The long-term goal of this application is to develop a new paradigm for the optimization of the design of porous polymeric scaffolds based on combinatorial approaches to both polymer design and the exploration of cell-scaffold interactions. The work plan is built around the hypothesis that the interaction of cells with a polymeric scaffold is influenced by both materials-related and architecture-related design parameters. To explore the multifaceted interactions between cells and surfaces, four distinct research aspects have been defined that will be addressed concomitantly by a team of collaborators consisting of a polymer scientist, a biomedical engineer, and a cell/molecular biologist. Initially, a unique, combinatorial library of new polymers will be created such that specific material properties can be varied in a predictable and incremental fashion. Next, microscopically smooth, flat surfaces will be used as a simple model architecture. Mouse L929 fibroblasts, human dermal fibroblasts, osteoblasts, and endothelial cells will be used to examine the cellular responses in terms of attachment, migration, growth, and differentiation. These observations will be correlated to specific surface properties and the adsorption of extracellular matrix (ECM) proteins. Employing poly(DTE adipate) as a representative material, polymeric scaffolds will be fabricated using a series of specific architectural designs. Finally, in an efficient combinatorial scheme, both materials-and architecture-related design parameters will be varied in specific scaffold configurations to examine the cellular responses in 3-D culture conditions. The outcomes of this research plan are threefold: (1) predictive, quantitative models will be developed describing the correlations between material chemical composition, protein adsorption, and cellular responses in 2- and 3-D culture conditions, (2) the design of polymeric scaffolds with optimal properties will be facilitated, and (3) the possible applications in tissue engineering of the first combinatorial library of degradable polymers will be evaluated. The associated research projects of Professor Parsons (using the same library of polymers in hard tissue) and Professor Edelman (using the same library of polymers in cardiovascular applications) will provide the necessary extension of this work to in vivo systems.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
8R01EB000286-05
Application #
6537396
Study Section
Special Emphasis Panel (ZHL1-CSR-F (M1))
Program Officer
Moy, Peter
Project Start
1998-07-10
Project End
2004-06-30
Budget Start
2002-07-01
Budget End
2004-06-30
Support Year
5
Fiscal Year
2002
Total Cost
$195,000
Indirect Cost
Name
Rutgers University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
038633251
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
Tovar, Nick; Murthy, N Sanjeeva; Kohn, Joachim et al. (2012) ACL reconstruction using a novel hybrid scaffold composed of polyarylate fibers and collagen fibers. J Biomed Mater Res A 100:2913-20
Tovar, Nick; Bourke, Sharon; Jaffe, Michael et al. (2010) A comparison of degradable synthetic polymer fibers for anterior cruciate ligament reconstruction. J Biomed Mater Res A 93:738-47
Abramson, Sascha D; Alexe, Gabriela; Hammer, Peter L et al. (2005) A computational approach to predicting cell growth on polymeric biomaterials. J Biomed Mater Res A 73:116-24
Sharma, Ram I; Kohn, Joachim; Moghe, Prabhas V (2004) Poly(ethylene glycol) enhances cell motility on protein-based poly(ethylene glycol)-polycarbonate substrates: a mechanism for cell-guided ligand remodeling. J Biomed Mater Res A 69:114-23
Nardin, Corinne; Bolikal, Durgadas; Kohn, Joachim (2004) Nontoxic block copolymer nanospheres: design and characterization. Langmuir 20:11721-5
Smith, Jack R; Knight, Doyle; Kohn, Joachim et al. (2004) Using surrogate modeling in the prediction of fibrinogen adsorption onto polymer surfaces. J Chem Inf Comput Sci 44:1088-97