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- (248a) Modeling and Analysis of Bone Growth and Remodeling
Besides metabolic and hormonal influences bone remodeling and growth depends strongly on the stress acting on the bone [4], known as the mechanostat theory. Basically bone tissue can gradually adapt to the stress acting on it to achieve, in certain limits, the desired strength and keep the acting stress in physiological limits. While osteoblast are the cells that produce new bone, and osteoclast degenerate bone, so called osteocytes, which make up some 95% of the cells in bone tissues, are thought to be the mechanosensory cells of bone, see e.g. [5].
So far there have been various attempts to mathematically analyze the bone growth and remodeling process. For example models describing the dynamics of bone remodeling at the cellular level of osteoblasts and osteoclast interactions can be found in [6,7,8,9]. Examples for models depicting biomechanical properties of bone using mechanostat theory can be found in [10,11].
In this work we present an extension of the model presented in [6] that tries to capture, besides the complex osteoblast-osteoclast interactions, the mechanical stimuli detected by the mechanosensory osteocytes in a simplified way. As shown, the model captures how mechanical stress acting on the bone does influence the bone growth and remodeling. Depending on the mechanical stimuli the model describes resorbtion or formation of bone until a steady state with respect to the acting load is achieved. The model is also able to represent the case of stress fractures due to high stress and reduced bone remodeling. This simple model is thought to set a basis for the development of more detailed models capturing the behavior of bone growth and remodeling. It can be used for analyzing influencing factors in bone remodeling and growth, verification of physiological phenomena, analyzing the appearing biological control loops, and derivation of new therapy forms counteracting certain diseases.
[1] Black, A., Topping, J., Durham, B., Farquharson, R., and Fraser, W. A detailed assessment of alterations in bone turnover, calcium homeostasis, and bone density in normal pregnancy. J. Bone Miner. Res., 15, pp 557-563, 2000.
[2] Parfitt, A. Osteonal and hemi-osteonal remodeling: the spatial and temporal framework for signal traffic in adult human bone. J. Cell Biochem., 55, pp 273-286, 1994.
[3] Raisz, L. Local and systemic factors in the pathogenesis of osteoporosis. N. Engl. J. Med., 318, pp 818-828, 1988.
[4] Frost, H. The mechanostat: a proposed pathogenic mechanism of osteoporosis and the bone mass effects of mechanical and nonmechanical agents. Bone. Miner., 13, pp 73-85, 1987.
[5] Burger, E. and Klein-Nulend, J. Mechanotransduction in bone ? role of lacuno-canalicular network. The FASEB J. 19, pp101-112, 1999.
[6] Lemaire, V., Tobin, L., Greller, L., Cho, C., and Suva, L. Modeling the interactions between osteoblast and osteoclast activities in bone remodeling. J. Theo. Biol., 229, pp 293-309, 2004.
[7] Kroll, M. Parathyroid hormone temporal effects on bone formation and resorpion. Bull. Math. Biol. 62, pp 163-188, 2000.
[8] Komarova, S., and Smith, R., et al. Mathematical model predicts a critical role for osteoclast autocrine regulation in the control of bone remodeling. Bone, 33, pp 206-215, 2003.
[9] Rattanakul, C., Lenbury, Y., et al. Modeling of bone formation and resorption mediated by parathyroid hormone: response to estrogene/PTH therapy. Biosystem, 70, pp52-72, 2003.
[10] Martin, B. Mathematical model for repair of fatigue damage and stress fracture in osteonal bone. J. Orthop. Res., 13, pp 306-316, 1995.
[11] Turner, C. Toward a mathematical description of bone biology: the principle of cellular accommondation. Calcif. Tissue Int., 65, pp 466-471, 1999.