A Combined Process Algebraic and Stochastic Approach to Bone Remodeling

Authors:
P. Liò;E. Merelli;N. Paoletti;M. Viceconti
Affiliations:
Computer Laboratory, University of Cambridge, Cambridge, UK;School of Science and Technology, Computer Science Division, University of Camerino, Camerino, Italy;School of Science and Technology, Computer Science Division, University of Camerino, Camerino, Italy;Laboratorio di Tecnologia Medica, Istituto Ortopedico Rizzoli, Bologna, Italy
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2011

Citing 1
Cited 1

Real-Time Behaviour of Asynchronous Agents

CONCUR '90 Proceedings of the Theories of Concurrency: Unification and Extension

Multilevel Computational Modeling and Quantitative Analysis of Bone Remodeling

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In adult life the bone is continuously being resorbed and renewed. Here we present a stochastic model of the homeostatic nature of bone remodeling, where osteoclasts perform bone resorption which is equally balanced by bone formation performed by osteoblasts. The stochastic model is embedded in a process-algebraic specification based on the Shape Calculus, which provides an effective multiscale description of the process. Our model considers increasing dimensionality from RANKL molecular signaling to osteoclast/osteoblast stochastic dynamics within a basic multicellular unit (BMU) to bone mass formation. We show that after a micro-fracture the simulated bone remodeling dynamics is timescale consistent with the biological process. Our combined methodology provides a first effective stochastic model of the bone remodeling framework which could be used to test healthy and pathological conditions.