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

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

Type

Article

Authors

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

KAUST Grant Number

KUK-C1-013-04

Date

2012-01-13

Online Publication Date

2012-01-13

Print Publication Date

2012-05

Permanent link to this record

http://hdl.handle.net/10754/597267

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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.

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).