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      Quantitative and reproducible murine model of excisional wound healing.

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          Abstract

          The goal of animal wound healing models is to replicate human physiology and predict therapeutic outcomes. There is currently no model of wound healing in rodents that closely parallels human wound healing. Rodents are attractive candidates for wound healing studies because of their availability, low cost, and ease of handling. However, rodent models have been criticized because the major mechanism of wound closure is contraction, whereas in humans reepithelialization and granulation tissue formation are the major mechanisms involved. This article describes a novel model of wound healing in mice utilizing wound splinting that is accurate, reproducible, minimizes wound contraction, and allows wound healing to occur through the processes of granulation and reepithelialization. Our results show that splinted wounds have an increased amount of granulation tissue deposition as compared to controls, but the rate of reepithelialization is not affected. Thus, this model eliminates wound contraction and allows rodents' wounds to heal by epithelialization and granulation tissue formation. Given these analogies to human wound healing, we believe that this technique is a useful model for the study of wound healing mechanisms and for the evaluation of new therapeutic modalities.

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          Author and article information

          Journal
          Wound Repair Regen
          Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
          Wiley
          1067-1927
          1067-1927
          July 21 2004
          : 12
          : 4
          Affiliations
          [1 ] Laboratory of Microvascular Research and Vascular Tissue Engineering, Institute of Reconstructive Surgery, New York University Medical Center, 560 First Avenue, New York, NY 10016, USA.
          Article
          WRR12404
          10.1111/j.1067-1927.2004.12404.x
          15260814
          7123759f-8577-48f6-bfc1-cd01fe966fcc
          History

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