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dc.contributor.advisorKojouharov, Hristo
dc.creatorTrejo Lorenzo, Imelda
dc.date.accessioned2019-05-28T22:47:17Z
dc.date.available2019-05-28T22:47:17Z
dc.date.created2019-05
dc.date.issued2019-05-14
dc.date.submittedMay 2019
dc.identifier.urihttp://hdl.handle.net/10106/28156
dc.description.abstractBone fracture healing is a complex biological process that results in a full reconstruction of the bone. However, it is not always an easy and successful process. Indeed, in some unfavorable conditions, the bone fracture healing fails with approximately 10% of fractures resulting in nonunion. Furthermore, the risk of nonunion healing increases with age, severe trauma, and immune deficiency. In addition, clinical consequences of fractures include surgical management, prolonged hospitalization, and rehabilitation resulting in high socioeconomic costs. A better understanding of bone healing would enable to find optimal conditions for successful outcomes and to develop strategies for fracture treatments under normal or pathological scenarios. Immune cells and their released molecular factors play a key role for successful bone healing. During bone fracture healing, the immune system cells clear up debris and regulate tissue cellular functions: proliferation, differentiation, and tissue production. However, the exact mechanisms and functions of the immune cells present at the fracture site are still not completely understood. Prolonged and chronic participation of the immune cells during the inflammation phase results in delayed union or nonunion healing, while depletion of them results in delayed bone formation. Therefore, for successful bone healing, the participation of immune cells in the healing process must be brief and well regulated. In this work, several new mathematical models are presented that describe the process of bone fracture healing. The models incorporate complex interactions between immune cells and bone cells at the fracture site. The resulting systems of nonlinear ordinary differential equations are studied analytically and numerically. Mathematical conditions for successful bone fracture repairs are formulated. The models are used to numerically monitor the evolution of broken bones for different types of fractures and to explore possible treatments that can accelerate the bone fracture healing process.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectBone fracture
dc.subjectImmune system
dc.subjectModeling
dc.titleMODELING THE EFFECTS OF THE IMMUNE SYSTEM ON BONE FRACTURE HEALING
dc.typeThesis
dc.contributor.committeeMemberLiao, Guojun
dc.degree.departmentMathematics
dc.degree.nameDoctor of Philosophy in Mathematics
dc.date.updated2019-05-28T22:47:17Z
thesis.degree.departmentMathematics
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy in Mathematics
dc.type.materialtext


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