A Fibrocontractive Mechanochemical Model of Dermal Wound Closure Incorporating Realistic Growth Factor Kinetics
Type
ArticleKAUST Grant Number
KUK-C1-013-04Date
2012-01-13Online Publication Date
2012-01-13Print Publication Date
2012-05Permanent link to this record
http://hdl.handle.net/10754/597267
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Show full item recordAbstract
Fibroblasts and their activated phenotype, myofibroblasts, are the primary cell types involved in the contraction associated with dermal wound healing. Recent experimental evidence indicates that the transformation from fibroblasts to myofibroblasts involves two distinct processes: The cells are stimulated to change phenotype by the combined actions of transforming growth factor β (TGFβ) and mechanical tension. This observation indicates a need for a detailed exploration of the effect of the strong interactions between the mechanical changes and growth factors in dermal wound healing. We review the experimental findings in detail and develop a model of dermal wound healing that incorporates these phenomena. Our model includes the interactions between TGFβ and collagenase, providing a more biologically realistic form for the growth factor kinetics than those included in previous mechanochemical descriptions. A comparison is made between the model predictions and experimental data on human dermal wound healing and all the essential features are well matched. © 2012 Society for Mathematical Biology.Citation
Murphy KE, Hall CL, Maini PK, McCue SW, McElwain DLS (2012) A Fibrocontractive Mechanochemical Model of Dermal Wound Closure Incorporating Realistic Growth Factor Kinetics. Bull Math Biol 74: 1143–1170. Available: http://dx.doi.org/10.1007/s11538-011-9712-y.Sponsors
This research is primarily supported under the Australian Research Council's Discovery Projects funding scheme (project number DP0878011), the Institute of Health and Biomedical Innovation at Queensland University of Technology, and by the Centre for Mathematical Biology, Mathematical Institute at the University of Oxford. PKM was partially supported by a Queensland University of Technology Adjunct Professorship and a Royal Society Wolfson Research Merit Award. This publication was based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST).Publisher
Springer NatureJournal
Bulletin of Mathematical BiologyPubMed ID
22246694ae974a485f413a2113503eed53cd6c53
10.1007/s11538-011-9712-y