Continuum model of fibroblast-driven wound contraction: Inflammation-mediation

Robert T. Tranquillo, J. D. Murray

Research output: Contribution to journalArticlepeer-review

122 Scopus citations

Abstract

We propose a mathematical model to aid the understanding of how events in wound healing are orchestrated to result in wound contraction. Ultimately, a validated model could provide a predictive means for enhancing or mitigating contraction as is appropriate for managing a particular wound. The complex nature of wound healing and the lack of a modeling framework which can account for both the relevant cell biology and biomechanics are major reasons for the absence of models to date. Here we adapt a model originally proposed by Murray and co-workers to show how cell traction forces can result in spatial patterns of cell aggregates since it offers a framework for understanding how traction exerted by wound fibroblasts drives wound contraction. Since it is a continuum model based on conservation laws which reflect assumed cell and tissue properties, it is readily extended to account for emerging understanding of the cell biology of wound healing and its relationship to inflammation. We consider various sets of assumed properties, based on current knowledge, within a base model of dermal wound healing and compare predictions of the rate and extent of wound contraction to published experimental results.

Original languageEnglish (US)
Pages (from-to)135-172
Number of pages38
JournalJournal of Theoretical Biology
Volume158
Issue number2
DOIs
StatePublished - Sep 21 1992

Bibliographical note

Funding Information:
R.T.T. acknowledges the support of a NATO Postdoctoral Fellowship in Science administered by the National Science Foundation (RCD-8651733), the Centre for Mathematical Biology, Oxford University, for its hospitality during the tenure of his NATO fellowship when this work was initiated, and support from a National Science Foundation Presidential Young Investigator Award (NSF BCS-8957736) and a grant from the Minnesota Supercomputer Institute while completing this work. It was also in part supported (J.D.M.) by grant DMS-900339 from the National Science Foundation.

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