Mechanobiological Modelling of Human Skeletal Muscle Regeneration in Healthy and Pathological Conditions

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dc.contributor.advisor Handsfield, Geoffrey G.
dc.contributor.advisor Fernandez, Justin W.
dc.contributor.author Khuu, Stephanie
dc.date.accessioned 2022-10-27T00:32:16Z
dc.date.available 2022-10-27T00:32:16Z
dc.date.issued 2022 en
dc.identifier.uri https://hdl.handle.net/2292/61687
dc.description.abstract Healthy skeletal muscle is a robust tissue that adapts with use. Muscle contraction— especially eccentric or active lengthening contraction— that occurs during exercise, causes damage to muscle fibre membranes and triggers a signalling cascade within the muscle fibre environment. The repair of this damage over time leads to advantageous adaptations such as muscle growth and hypertrophy in healthy muscle; however, little is known about the changes to the repair process that occur in chronic muscle diseases such as cerebral palsy, Duchenne muscular dystrophy, and inflammatory myopathies. Restoring muscle growth, strength, and regenerative potential in pathological muscle would be the holy grail of treatment for myopathies. Skeletal muscle homeostasis is maintained by cells in the muscle environment. Satellite cells (SC) are a muscle resident progenitor cell population, and the SC niche regulates regenerative potential. Attempts to replenish SCs in ageing or pathological tissue have illustrated the system’s complexity and the inability of SCs to independently repair muscle. The activity of neutrophils, macrophages, muscle cells and fibroblasts are essential in regulating muscle repair. The interactions of these cells and their chemical environment ultimately lead to changes to the whole muscle. Agent-based modelling (ABM) is a bottom-up computational modelling framework where individual agents are programmed with sets of rules that they follow, responding to their environment and other agents in a bottom-up fashion. ABM is a valuable tool in connecting multiple scales of muscle physiology. Coupling ABM with mechanical strain from finite element (FE) modelling of muscle provides an avenue to investigate physiological changes in muscle over time. This thesis presents coupled models of skeletal muscle repair in healthy and pathological conditions that evaluates stages of muscle repair and how they contribute to the muscle regeneration system as a whole, without a priori macro-scale assumptions. The coupled agent-based model was used to evaluate the repair process following changes in the cell environment of healthy and pathological muscle fibre bundles in response to changes in the mode of damage and changes to regenerative potential. Regulation of the muscle repair system at the cellular level is crucial to macro-scale muscle function and morphology. These models highlight the importance of understanding the muscle milieu in detail so as to maintain and restore regenerative potential. Understanding the interactions between cells and their regulation by the environment using coupled ABMs of muscle repair is a promising technique to test and discover more targeted hypotheses that lead to therapeutic pathways for muscle repair.
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/
dc.title Mechanobiological Modelling of Human Skeletal Muscle Regeneration in Healthy and Pathological Conditions
dc.type Thesis en
thesis.degree.discipline Bioengineering
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.date.updated 2022-09-19T05:45:51Z
dc.rights.holder Copyright: The author en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en


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