A mathematical framework to study the mechanical and cellular activity in regulating the fracture healing process

The coupling mechanism between mechanical stimulation and biological response during fracture healing has not been fully elucidated. This study establishes an innovative mathematical model to analyze this complex process. Based on the phenomenon of early weight-bearing in clinical application of Taylor external fixation frames, we constructed a bidirectional coupling mechanic-biological computing framework. The model contains two interactive modules: the mechanical module uses porous media theory to simulate the fluid-solid coupling behavior of tissues, and the biological module uses reaction-diffusion equations to characterize processes such as cell proliferation, migration, differentiation and matrix metabolism. The two modules realize real-time data interaction through customized developed interface programs. The core of the model is to establish a quantitative relationship between mechanical stimulation (through physical quantities such as fluid shear stress) and the final morphology of mesenchymal stem cells (differentiated into chondrocytes or osteoblasts). As the simulation progresses, dynamic changes in the extracellular matrix will feedback and adjust the mechanical parameters of the tissue to form a closed-loop system. The axisymmetric finite element method was used to numerical verification of long bone fracture cases, and the results showed that the model could accurately reproduce the spatiotemporal characteristics of callus evolution. Comparison with clinical observational data confirms the reliability of the model. Parameter analysis shows that this model can quantify the impact of multiple factors such as stem cell microenvironment, initial callus characteristics and fixation device stiffness on healing mode, providing a theoretical basis for personalized treatment.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-23
DOI
https://doi.org/10.1051/meca/2025020/pdf
Primary Topic
Elasticity and Material Modeling
Type
article
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article

A mathematical framework to study the mechanical and cellular activity in regulating the fracture healing process

Jun Qian, Qinghua Yang, Yi Xun, Xinxing Zhang et al.
Springer Link (Chiba Institute of Technology)
Elasticity and Material Modeling
article

A mathematical framework to study the mechanical and cellular activity in regulating the fracture healing process

Jun Qian, Qinghua Yang, Yi Xun, Xinxing Zhang, Yunsheng Mao
article en

Abstract

The coupling mechanism between mechanical stimulation and biological response during fracture healing has not been fully elucidated. This study establishes an innovative mathematical model to analyze this complex process. Based on the phenomenon of early weight-bearing in clinical application of Taylor external fixation frames, we constructed a bidirectional coupling mechanic-biological computing framework. The model contains two interactive modules: the mechanical module uses porous media theory to simulate the fluid-solid coupling behavior of tissues, and the biological module uses reaction-diffusion equations to characterize processes such as cell proliferation, migration, differentiation and matrix metabolism. The two modules realize real-time data interaction through customized developed interface programs. The core of the model is to establish a quantitative relationship between mechanical stimulation (through physical quantities such as fluid shear stress) and the final morphology of mesenchymal stem cells (differentiated into chondrocytes or osteoblasts). As the simulation progresses, dynamic changes in the extracellular matrix will feedback and adjust the mechanical parameters of the tissue to form a closed-loop system. The axisymmetric finite element method was used to numerical verification of long bone fracture cases, and the results showed that the model could accurately reproduce the spatiotemporal characteristics of callus evolution. Comparison with clinical observational data confirms the reliability of the model. Parameter analysis shows that this model can quantify the impact of multiple factors such as stem cell microenvironment, initial callus characteristics and fixation device stiffness on healing mode, providing a theoretical basis for personalized treatment.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 38%
Elasticity and Material Modeling
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