A Fibrocontractive Mechanochemical Model of Dermal Wound Closure Incorporating Realistic Growth Factor Kinetics

Kelly E. Murphy, Cameron L. Hall, Philip K. Maini, Scott W. McCue, D. L. Sean McElwain

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

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.
Original languageEnglish (US)
Pages (from-to)1143-1170
Number of pages28
JournalBulletin of Mathematical Biology
Volume74
Issue number5
DOIs
StatePublished - Jan 13 2012
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-C1-013-04
Acknowledgements: 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).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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