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An Micro-multiphysics Agent-based Approach for Simulating Bone Regeneration in a Mouse Femur Defect Model

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Date 2024 Jan 2
PMID 38164405
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Abstract

Bone defects represent a challenging clinical problem as they can lead to non-union. models are well suited to study bone regeneration under varying conditions by linking both cellular and systems scales. This paper presents an micro-multiphysics agent-based (micro-MPA) model for bone regeneration following an osteotomy. The model includes vasculature, bone, and immune cells, as well as their interaction with the local environment. The model was calibrated by time-lapsed micro-computed tomography data of femoral osteotomies in C57Bl/6J mice, and the differences between predicted bone volume fractions and the longitudinal measurements were quantitatively evaluated using root mean square error (RMSE). The model performed well in simulating bone regeneration across the osteotomy gap, with no difference (5.5% RMSE, = 0.68) between the and groups for the 5-week healing period - from the inflammatory phase to the remodelling phase - in the volume spanning the osteotomy gap. Overall, the proposed micro-MPA model was able to simulate the influence of the local mechanical environment on bone regeneration, and both this environment and cytokine concentrations were found to be key factors in promoting bone regeneration. Further, the validated model matched clinical observations that larger gap sizes correlate with worse healing outcomes and ultimately simulated non-union. This model could help design and guide future experimental studies in bone repair, by identifying which are the most critical experiments to perform.

References
1.
Ominsky M, Brown D, Van G, Cordover D, Pacheco E, Frazier E . Differential temporal effects of sclerostin antibody and parathyroid hormone on cancellous and cortical bone and quantitative differences in effects on the osteoblast lineage in young intact rats. Bone. 2015; 81:380-391. DOI: 10.1016/j.bone.2015.08.007. View

2.
Klein-Nulend J, Bakker A, Bacabac R, Vatsa A, Weinbaum S . Mechanosensation and transduction in osteocytes. Bone. 2012; 54(2):182-90. DOI: 10.1016/j.bone.2012.10.013. View

3.
Prendergast P, Huiskes R, Soballe K . ESB Research Award 1996. Biophysical stimuli on cells during tissue differentiation at implant interfaces. J Biomech. 1997; 30(6):539-48. DOI: 10.1016/s0021-9290(96)00140-6. View

4.
Wehrle E, Tourolle Ne Betts D, Kuhn G, Scheuren A, Hofmann S, Muller R . Evaluation of longitudinal time-lapsed in vivo micro-CT for monitoring fracture healing in mouse femur defect models. Sci Rep. 2019; 9(1):17445. PMC: 6877534. DOI: 10.1038/s41598-019-53822-x. View

5.
Walchli T, Bisschop J, Miettinen A, Ulmann-Schuler A, Hintermuller C, Meyer E . Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain. Nat Protoc. 2021; 16(10):4564-4610. DOI: 10.1038/s41596-021-00587-1. View