Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-05T10:25:29.240Z Has data issue: false hasContentIssue false
  • English
  • Français

The Scissors Model of Microcrack Detection in Bone: Work in Progress

Published online by Cambridge University Press:  01 February 2011

David Taylor ,
Lauren Mulcahy ,
Gerardo Presbitero ,
Pietro Tisbo ,
Clodagh Dooley ,
Garry Duffy  and
Thomas Clive Lee
David Taylor
Affiliation:
[email protected]
Lauren Mulcahy
Affiliation:
[email protected] College of Surgeons in IrelandAnatomy, Dublin, Ireland
Gerardo Presbitero
Affiliation:
[email protected] College DublinDublin, Ireland
Pietro Tisbo
Affiliation:
[email protected] College DublinDublin, Ireland
Clodagh Dooley
Affiliation:
[email protected] College DublinDublin, Ireland
Garry Duffy
Affiliation:
[email protected] College of Surgeons in IrelandAnatomy, Dublin, Ireland
Thomas Clive Lee
Affiliation:
[email protected] College of Surgeons in IrelandAnatomy, Dublin, Ireland
Get access

Abstract

We have proposed a new model for microcrack detection by osteocytes in bone. According to this model, cell signalling is initiated by the cutting of cellular processes which span the crack. We show that shear displacements of the crack faces are needed to rupture these processes, in an action similar to that of a pair of scissors. Current work involves a combination of cell biology experiments, theoretical and experimental fracture mechanics and system modelling using control theory approaches. The approach will be useful for understanding effects of extreme loading, aging, disease states and drug treatments on bone damage and repair; the present paper presents recent results from experiments and simulations as part of current, ongoing research.

Keywords

bonefatiguefracture
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 1274: Symposium QQ – Biological Materials and Structures in Physiologically Extreme Conditions and Disease , 2010 , 1274-QQ08-01
Copyright
Copyright © Materials Research Society 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1 Taylor, D., Hazenberg, J. G. and Lee, T. C. “The cellular transducer in damagestimulated bone remodelling: A theoretical investigation using fracture mechanics,” Journal of Theoretical Biology, Vol. 225, No. 1, 2003, pp. 65–75.Google Scholar
2 Hazenberg, J. G. Freeley, M. Foran, E. Lee, T. C. and Taylor, D. “Microdamage: a cell transducing mechanism based on ruptured osteocyte processes,” Journal of Biomechanics, Vol. 39, 2006, 2096–2103.Google Scholar
3 Hazenberg, J. G. Taylor, D. and Lee, T. C. “The role of osteocytes in functional bone adaptation,” BoneKey Osteovision, Vol. 3, 2006, pp. 10–16.Google Scholar
4 Hazenberg, J. G. Taylor, D. and Lee, T. C. “The role of osteocytes in preventing osteoporotic fractures,” Osteoporosis International, Vol. 18, 2007, pp. 1–8.Google Scholar
5 Hazenberg, J. G. Hentunen, T. Heino, T. J. Kurata, K. Lee, T. C. and Taylor, D. “Microdamage detection and repair in bone: fracture mechanics, histology, cell biology,” Technology and Health Care, Vol. 17, 2009, pp. 67–75.Google Scholar
6 Taylor, D. and Kuiper, J. H. “The prediction of stress fractures using a ‘stressed volume’ concept,” Journal of Orthopaedic Research, Vol. 19, No. 5, 2001, pp. 919–926.Google Scholar
7 Taylor, D. “Scaling effects in the fatigue strength of bones from different animals,” Journal of Theoretical Biology, Vol. 206, No. 2, 2000, pp. 299–306.Google Scholar
8 Taylor, D. “Fatigue of bone and bones: An analysis based on stressed volume,” Journal of Orthopaedic Research, Vol. 16, No. 2, 1998, pp. 163–169.Google Scholar
9 Taylor, D. Casolari, E. and Bignardi, C. “Predicting stress fractures using a probabilistic model of damage, repair and adaptation,” Journal of Orthopaedic Research, Vol. 22, 2004, pp. 487–494.Google Scholar
10 Edwards, W. B. Taylor, D. Rudolphi, T. J. Gillette, J. C. and Derrick, T. R. “Effects of stride length and running mileage on a probabilistic stress fracture model,” Medicine and Science in Sports and Exercise, Vol. 41, No. 12, 2009, pp. 2177–2184.Google Scholar
11 Currey, J. Bones: Structure and Mechanics, Princeton University Press, USA 2002.Google Scholar
12 Whalen, R. T. Carter, D. R. and Steele, C. R. “Influence of physical activity on the regulation of bone density,” Journal of Biomechanics, Vol. 21, No. 10, 1988, pp. 825–837.Google Scholar
13 Taylor, D. Hazenberg, J. G. and Lee, T. C. “Living with Cracks: Damage and Repair in Human Bone,” Nature Materials, Vol. 2, 2007, pp. 263–268.Google Scholar
14 Taylor, D. and Lee, T. C. “Microdamage and mechanical behaviour: Predicting failure and remodelling in compact bone,” Journal of Anatomy, Vol. 203, No. 2, 2003, pp. 203–211.Google Scholar
15 Taylor, D. and Lee, T. C. “A crack growth model for the simulation of fatigue in bone,” International Journal of Fatigue, Vol. 25, No. 5, 2003, pp. 387–395.Google Scholar