TISSUE DIFFERENTIATION AND FIBROCARTILAGE MINERALIZATION IN FRACTURE HEALING

Author(s):  
R.K. Schenk
2019 ◽  
Vol 19 (07) ◽  
pp. 1940029
Author(s):  
MONAN WANG ◽  
XINYU WANG ◽  
QIYOU YANG

According to the mechanical conditions of fracture fixation and the oxygen levels in the tissues, a simulation model of fracture healing process was built to describe the relationship among mechanical stability, oxygen levels in tissues and tissue differentiation during the second fracture healing. Different from the previous simulation model, in this paper, we took the three-dimensional model as the research object, solved the mechanical stimulation by finite element method, established the partial differential equation to solve the spatial and temporal variation of the oxygen in tissues. The process of tissue differentiation was described by fuzzy control method. The initial stage of fracture healing, intramembranous ossification, chondrogenesis, cartilage calcification and endochondral ossification during the fracture healing process were simulated, and the properties of tissue materials were continuously updated to complete the iterative process. The simulation program of fracture healing process was independently developed in Eclipse environment, and the simulation results were compared with experimental data and those of other fracture healing simulation models to verify the simulation program in this paper. Finally, the processes of transverse fracture healing in rats with different axial stability under normoxic, hypoxic and hyperoxic conditions was simulated, and the effects of different tissue oxygen levels and interosseous stabilities on fracture healing were analyzed. It is concluded by simulation that the delayed healing or non-union of bone will occur when in state of tissue hypoxia or interosseous instability, normal healing will occur when in state of tissue normoxia, and the healing will be accelerated when in state of tissue hyperoxia.


Author(s):  
D. Burke ◽  
D. J. Kelly

Extrinsic mechanical signals have been implicated as key regulators of Mesenchymal Stem Cell (MSC) differentiation [1]. It has been possible to test different hypotheses for mechano-regulated differentiation by attempting to simulate regenerative events such as bone fracture repair [2]. During such events, repeatable spatial and temporal patterns of tissue differentiation occur. More recently, in vitro studies have identified other environmental cues, such as substrate stiffness [3] and oxygen tension [4], as key regulators of MSC differentiation. The hypothesis of this study is that a computational model that assumes substrate stiffness and oxygen tension regulate stem cell differentiation can be used to predict the spatial and temporal patterns of tissue differentiation that occur during fracture healing.


2006 ◽  
Vol 39 (8) ◽  
pp. 1507-1516 ◽  
Author(s):  
Hanna Isaksson ◽  
Wouter Wilson ◽  
Corrinus C. van Donkelaar ◽  
Rik Huiskes ◽  
Keita Ito

2006 ◽  
Vol 24 (5) ◽  
pp. 898-907 ◽  
Author(s):  
Hanna Isaksson ◽  
Corrinus C. van Donkelaar ◽  
Rik Huiskes ◽  
Keita Ito

Author(s):  
Saghar Nasr ◽  
Neil A. Duncan

It is known that mechanical factors play a key role in bone formation and regulation of tissue regeneration during skeletal healing. However, the underlying mechanisms are not fully understood. Mechanical loads, such as cyclic compression, torsion and bending are key factors driving the differentiation of mesenchymal stem cells (MSCs). On the other hand, excessive mechanical loading may disrupt the process of healing and lead to non-unions and cell apoptosis. Therefore, effective positive mechanical factors are bounded by a range and frequency. A number of mechanoregulation algorithms have been developed by comparing tissue differentiation patterns under different loading regimes [1, 2, 3, 4]. The aim of this study was to predict the development of differentiated tissues in a closed fracture model treated with a stem cell seeded soft collagenous scaffold under load regimes of axial compression, bending and torsion. The long term goal is to improve our understanding of fracture healing in non-union fractures and develop stem cell based tissue engineering treatments.


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