Towards a new spatial representation of bone remodeling.

Irregular bone remodeling is associated with a number of bone diseases such as osteoporosis and multiple myeloma. Computational and mathematical modeling can aid in therapy and treatment as well as understanding fundamental biology. Different approaches to modeling give insight into different aspects of a phenomena so it is useful to have an arsenal of various computational and mathematical models. Here we develop a mathematical representation of bone remodeling that can effectively describe many aspects of the complicated geometries and spatial behavior observed. There is a sharp interface between bone and marrow regions. Also the surface of bone moves in and out, i.e. in the normal direction, due to remodeling. Based on these observations we employ the use of a level-set function to represent the spatial behavior of remodeling. We elaborate on a temporal model for osteoclast and osteoblast population dynamics to determine the change in bone mass which influences how the interface between bone and marrow changes. We exhibit simulations based on our computational model that show the motion of the interface between bone and marrow as a consequence of bone remodeling. The simulations show that it is possible to capture spatial behavior of bone remodeling in complicated geometries as they occur in vitro and in vivo. By employing the level set approach it is possible to develop computational and mathematical representations of the spatial behavior of bone remodeling. By including in this formalism further details, such as more complex cytokine interactions and accurate parameter values, it is possible to obtain simulations of phenomena related to bone remodeling with spatial behavior much as in vitro and in vivo. This makes it possible to perform in silica experiments more closely resembling experimental observations.

[1]  Liesbet Geris,et al.  A hybrid bioregulatory model of angiogenesis during bone fracture healing , 2011, Biomechanics and modeling in mechanobiology.

[2]  Jos Vander Sloten,et al.  Occurrence and Treatment of Bone Atrophic Non-Unions Investigated by an Integrative Approach , 2010, PLoS Comput. Biol..

[3]  Peter Pivonka,et al.  Mathematical modeling in bone biology: from intracellular signaling to tissue mechanics. , 2010, Bone.

[4]  Liesbet Geris,et al.  Mathematical Modeling in Wound Healing, Bone Regeneration and Tissue Engineering , 2010, Acta biotheoretica.

[5]  Glenn F Webb,et al.  A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease , 2010, Biology Direct.

[6]  L. Geris,et al.  Connecting biology and mechanics in fracture healing: an integrated mathematical modeling framework for the study of nonunions , 2010, Biomechanics and modeling in mechanobiology.

[7]  Marc D. Ryser,et al.  The Cellular Dynamics of Bone Remodeling: A Mathematical Model , 2010, SIAM J. Appl. Math..

[8]  Nilima Nigam,et al.  Mathematical Modeling of Spatio‐Temporal Dynamics of a Single Bone Multicellular Unit , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[9]  Peter Pivonka,et al.  Model structure and control of bone remodeling: a theoretical study. , 2008, Bone.

[10]  Ian M. Mitchell The Flexible, Extensible and Efficient Toolbox of Level Set Methods , 2008, J. Sci. Comput..

[11]  Wei Lu,et al.  A Local Semi-Implicit Level-Set Method for Interface Motion , 2008, J. Sci. Comput..

[12]  S. Komarova,et al.  Complex Dynamics of Osteoclast Formation and Death in Long-Term Cultures , 2008, PloS one.

[13]  Rüdiger Weiner,et al.  Angiogenesis in bone fracture healing: a bioregulatory model. , 2008, Journal of theoretical biology.

[14]  Alexander G Robling,et al.  Biomechanical and molecular regulation of bone remodeling. , 2006, Annual review of biomedical engineering.

[15]  Rüdiger Weiner,et al.  Mathematical modeling of fracture healing in mice: comparison between experimental data and numerical simulation results , 2006, Medical and Biological Engineering and Computing.

[16]  Wang Hai-bing,et al.  High-order essentially non-oscillatory schemes for Hamilton-Jacobi equations , 2006 .

[17]  M. Martin,et al.  A Novel Mathematical Model Identifies Potential Factors Regulating Bone Apposition , 2005, Calcified Tissue International.

[18]  Svetlana V Komarova,et al.  Mathematical model of paracrine interactions between osteoclasts and osteoblasts predicts anabolic action of parathyroid hormone on bone. , 2005, Endocrinology.

[19]  M. Martin,et al.  Sensitivity analysis of a novel mathematical model identifies factors determining bone resorption rates. , 2004, Bone.

[20]  Svetlana V Komarova,et al.  Mathematical model predicts a critical role for osteoclast autocrine regulation in the control of bone remodeling. , 2003, Bone.

[21]  Marko Subasic,et al.  Level Set Methods and Fast Marching Methods , 2003 .

[22]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[23]  J. Sethian,et al.  FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .

[24]  C. T. Kelley,et al.  Solving nonlinear equations with Newton's method - fundamentals of algorithms , 2003 .

[25]  Alex M. Andrew,et al.  Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .

[26]  S. Osher,et al.  Regular Article: A PDE-Based Fast Local Level Set Method , 1999 .

[27]  L. Raisz Physiology and pathophysiology of bone remodeling. , 1999, Clinical chemistry.

[28]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods , 1999 .

[29]  S. Osher,et al.  Capturing the Behavior of Bubbles and Drops Using the Variational Level Set Approach , 1998 .

[30]  S. Osher,et al.  Regular Article: A PDE-Based Fast Local Level Set Method , 1999 .

[31]  J. Compston,et al.  Principles of Bone Biology , 1997 .

[32]  T. Chan,et al.  A Variational Level Set Approach to Multiphase Motion , 1996 .

[33]  A. Parfitt Osteonal and hemi‐osteonal remodeling: The spatial and temporal framework for signal traffic in adult human bone , 1994, Journal of cellular biochemistry.

[34]  S. Osher,et al.  High-order essentially nonsocillatory schemes for Hamilton-Jacobi equations , 1990 .

[35]  C. Kelley Iterative Methods for Linear and Nonlinear Equations , 1987 .

[36]  C. Kelley Solving Nonlinear Equations with Newton's Method , 1987 .