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Simulation of Osteochondral Defect Treatment Using Cell Therapy
Moghimi Kandelousi, Shaghayegh | 2023
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 56235 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Abdekhodaei, Mohammad Jafar
- Abstract:
- This project investigates the simulation of osteochondral defect repair using cell therapy. The osteochondral defect is a common defect among people, where accident, age, and osteoporosis are the main causes of this defect. There are many treatment methods in clinics, which include the using bone allografts, drug treatments, and cell therapy. Cell therapy has been used in this project. For this purpose, firstly, the mathematical equations of the system are written and then the system is simulated using Python. In these equations, ten variables including chondrocyte cells, chondrocyte hypertrophy, osteoblast, different production matrices, and nutrients are used, which are written mathematical equations according to the physiology of the human body. For this purpose, cell migration, proliferation, differentiation, and cell death have been considered for existing cells. This group of equations shows the complete transformation of chondrocyte cells into hypertrophic chondrocyte cells that produce calcified matrix, into osteoblast cells. Other equations have also used the effect of control cycles in the body such as PTH-Ihh which increases osteogenesis.In the following, mechanical stimuli are discussed. To investigate mechanical stimuli, equations have been used for the effect of mechanical stimuli on the produced bone matrix. To choose the correct mechanical equation, several studies have been conducted, and improved equations have been written considering the physiology of the human body and the response of the bone system to each pressure step. Then, in this system, different states of mechanical stimuli, which include the effect of a person's weight, a one-hour and two-hour walk, and the use of a walker in a person's walks, have been investigated and simulated. To investigate the effect of weight on wound healing, the amount of pressure that each person's weight exerts on the bone has been used, and it has been personalized for each person with a different weight. In the next steps, according to the standard walking pattern, the pressure exerted by stepping on the bone was applied to check the simulation results .The results obtained in this project by examining the first and second protocols, different people's weights and walking hours show that if a person walks for two hours under the first protocol, if he weighs less than 180 kg, the most bone formation will have It should be noted that overweight people walking and sports activities not only do not increase bone formation but also cause bone loss. Due to the increasing of bone formation, they should use the second protocol to perform their sports activities
- Keywords:
- Walking Pattern Recognition ; Body Weight ; Cell Therapy ; Mathematical Modeling ; Osteochondral Defect ; Python Language Programming
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