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( Kyoung Tak Kang ),( Joon Hee Park ),( Ho Joong Kim ),( Hwan Mo Lee ),( Kwang Il Lee ),( Ms ),( Hone Hee Jung ),( Hwa Yong Lee ),( Young Bock Shim ),( Ju Woong Jang ) 한국조직공학·재생의학회 2011 조직공학과 재생의학 Vol.8 No.4
Different from primitive tissue engineering, current tissue engineering and biomedical research focuses on tissue regeneration using stem cells. By autotransplantation, Adult stem cells can overcome problems that embry-onic stem cells have, such as immunologic disharmony, and formation of variant carcinomas, making adult stem cell research more prominent. In differentiation of adult stem cells, mechanical stimuli are one of the most important factors in that they enhance differentiation. In case of mesenchymal stem cells, it can be differentiated into fibro-blasts, chondrocytes, and osteoblasts by the magnitude of mechanical stimuli. Additionally, the magnitude and fre-quency of mechanical stimuli is a key factor to determining the proliferation rate of each tissue. Therefore, the purpose of this research is to study tissue differentiation by mechanical stimuli. Tissue differentiation algorithm by magnitude of mechanical stimuli was suggested, and tissue proliferation and apoptosis was modeled mathematically. The cell density of each phenotype was predicted using numerical models of tissue differentiation and proliferation. Cell experimental data were used to determine differentiation and proliferation patterns. A numerical model predict-ing tissue differentiation by the magnitude and frequency of mechanical stimuli was suggested, and bone fracture healing was simulated. The results from the numerical model analysis, using magnitude and frequency as cell pro-liferation controlling factor, showed better description about bone healing process. With simulation of bone healing process with two numerical models, the model with considering proliferation and apoptosis rate gives more accurateresult. Time for bone fracture healing was shorter in model with the proliferation and apoptosis rate, and more fit to validation data.
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