Tissues in the musculoskeletal system are exquisitely designed with superb mechanical properties. The tissues are also able to adapt to withstand changing mechanical conditions. The Computational Mechanobiology Group is focused on understanding these two exciting features. Using computer modeling techniques, we seek to understand the mechanical behavior of tissues and their adaptive and regenerative response to mechanical stimuli at the different time and length scales.
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Mechanical Regulation of Bone Healing
Although bone is able to self-repair, in many situations its regener6ation capacity is impaired, leading to delayed or non-unions. The healing process is known to be influenced by many factors; among them mechanical signals have been shown to play a fundamental role. In the Computational Mechanobiology Group, we are interested in understanding the mechanical "rules" driving bone regeneration processes. We develop computer models to simulate the mechanical regulation of cellular activity and its consequences at the tissue level.
From left to right: Histological image showing newly formed bone (light black) within the callus of a externally stabilized osteotomy in sheep. Mechanical strains within the callus region immediatly after fracture (red: high strains; blue: low strains). Diagram showing the origin of cells in a computer model of the bone healing process. Prediction of bone tissue formation within the callus in the sheep osteotomy model after two weeks of healing.
Borgiani E, Duda GN, Willie B, Checa S. Bone healing in mice: does it follow generic mechano-regulation rules? . Facta Universitatis. Series: Mechanical Engineering. In Press
Mehta M, Checa S, Lienau J, Hutmacher D, Duda GN. (2012) In vivo tracking of segmental bone defect healing reveals that callus patterning is related to early mechanical stimuli. Eur Cell Mater. 2012 Nov 2;24:358-71
Checa S, Prendergast PJ, Duda GN. (2011). Inter-species investigation of the mechano-regulation of bone healing: Comparison of secondary bone healing in sheep and rat. Journal of Biomechanics; 44: 1237-45
Khayyeri H, Checa S, Tägil M, Aspenberg P, Prendergast PJ. (2011) Variability observed in mechano-regulated in vivo tissue differentiation can be explained by variation in cell mechano-sensitivity. J Biomech. 7;44(6):1051-8
Khayyeri H, Checa S, Tägil M, Prendergast PJ. (2009) Corroboration of mechanobiological simulations of tissue differentiation in an in vivo bone chamber using a lattice-modeling approach. J Orthop Res.; 27(12):1659-66.
Checa S, Prendergast PJ. (2009) A mechanobiological model for tissue differentiation that includes angiogenesis: a lattice-based modelling approach. Annals of Biomedical Engineering, 37: 129-145.