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1.
Bull Math Biol ; 75(12): 2450-73, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24154964

ABSTRACT

A simplified 2D mathematical model for tissue growth within a cyclically-loaded tissue engineering scaffold is presented and analyzed. Such cyclic loading has the potential to improve yield and functionality of tissue such as bone and cartilage when grown on a scaffold within a perfusion bioreactor. The cyclic compression affects the flow of the perfused nutrient, leading to flow properties that are inherently unsteady, though periodic, on a timescale short compared with that of tissue proliferation. A two-timescale analysis based on these well-separated timescales is exploited to derive a closed model for the tissue growth on the long timescale of proliferation. Some sample numerical results are given for the final model, and discussed.


Subject(s)
Bioreactors , Tissue Engineering/methods , Animals , Biomechanical Phenomena , Cartilage/growth & development , Cartilage/physiology , Chondrocytes/cytology , Chondrocytes/physiology , Computational Biology , Culture Media , Mathematical Concepts , Models, Biological , Tissue Engineering/statistics & numerical data , Tissue Scaffolds
2.
Bull Math Biol ; 75(3): 393-427, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23358798

ABSTRACT

Motivated by experimental work (Miller et al. in Biomaterials 27(10):2213-2221, 2006, 32(11):2775-2785, 2011) we investigate the effect of growth factor driven haptotaxis and proliferation in a perfusion tissue engineering bioreactor, in which nutrient-rich culture medium is perfused through a 2D porous scaffold impregnated with growth factor and seeded with cells. We model these processes on the timescale of cell proliferation, which typically is of the order of days. While a quantitative representation of these phenomena requires more experimental data than is yet available, qualitative agreement with preliminary experimental studies (Miller et al. in Biomaterials 27(10):2213-2221, 2006) is obtained, and appears promising. The ultimate goal of such modeling is to ascertain initial conditions (growth factor distribution, initial cell seeding, etc.) that will lead to a final desired outcome.


Subject(s)
Cell Culture Techniques/methods , Intercellular Signaling Peptides and Proteins/physiology , Models, Biological , Tissue Engineering/methods , Tissue Scaffolds , Bioreactors , Cell Growth Processes/physiology , Humans
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