An in silico approach to the analysis of acute wound healing.

The complex interactions that characterize acute wound healing have stymied the development of effective therapeutic modalities. The use of computational models holds the promise to improve our basic approach to understanding the process. By modifying an existing ordinary differential equation model...

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Publicado en:Wound Repair & Regeneration Vol. 18; no. 1; pp. 105 - 114
Autores principales: Menke NB, Cain JW, Reynolds A, Chan DM, Segal RA, Witten TM, Bonchev DG, Diegelmann RF, Ward KR
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell Jan/Feb2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan/Feb2010
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      pub: Wiley-Blackwell
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        atl: An in silico approach to the analysis of acute wound healing.
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        au:
          Menke NB
          Cain JW
          Reynolds A
          Chan DM
          Segal RA
          Witten TM
          Bonchev DG
          Diegelmann RF
          Ward KR
        affil: Department of Emergency Medicine, Virginia Commonwealth University, Richmond, Virginia
      sug:
        subj:
          Wound Healing Evaluation
          Bacterial Infections Physiopathology
          Bioinformatics
          Computer Simulation
          Fibroblasts Physiology
          Funding Source
          Inflammation Physiopathology
          Models, Statistical
          Oxygenation
          Wound Healing Physiology
          Wounds and Injuries Physiopathology
      ab: The complex interactions that characterize acute wound healing have stymied the development of effective therapeutic modalities. The use of computational models holds the promise to improve our basic approach to understanding the process. By modifying an existing ordinary differential equation model of systemic inflammation to simulate local wound healing, we expect to improve the understanding of the underlying complexities of wound healing and thus allow for the development of novel, targeted therapeutic strategies. The modifications in this local acute wound healing model include: evolution from a systemic model to a local model, the incorporation of fibroblast activity, and the effects of tissue oxygenation. Using these modifications we are able to simulate impaired wound healing in hypoxic wounds with varying levels of contamination. Possible therapeutic targets, such as fibroblast death rate and rate of fibroblast recruitment, have been identified by computational analysis. This model is a step toward constructing an integrative systems biology model of human wound healing.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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