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The effect of anatomic location on porcine models of burn injury and wound healing.

Aiping LiuJ Z Alex CheongSameeha HassanMatthew B WielgatJennifer J MeudtElizabeth Catherine TownsendDhanansayan ShanmuganayagamLindsay R KalanAngela L F Gibson
Published in: Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society (2024)
Porcine models are frequently used for burn healing studies; however, factors including anatomic location and lack of standardised wound methods can impact the interpretation of wound data. The objectives of this study are to examine the influence of anatomical locations on the uniformity of burn creation and healing in porcine burn models. To optimise burn parameters on dorsal and ventral surfaces, ex vivo and in situ euthanized animals were first used to examine the location-dependence of the burn depth and contact time relationship. The location-dependent healing in vivo was then examined using burn and excisional wounds at dorsal, ventral, caudal and cranial locations. Lactate dehydrogenase (LDH) and H&E were used to assess burn depth and wound re-epithelialization. We found that burn depth on the ventral skin was significantly deeper than that of the dorsal skin at identical thermal conditions. Compared with burns created ex vivo, burns created in situ immediately post-mortem were significantly deeper in the ventral location. In live animals, 2 out of 12 burn wounds were fully re-epithelialized after 14 days in contrast to complete re-epithelialization of all excisional wounds. Among the burn wounds, those at the cranial-dorsal site exhibited faster healing than at the caudal-dorsal site. This study showed that anatomical location is an important consideration for the consistency of burn depth creation and healing. These data support symmetric localization of treatment and control for comparative assessment of burn healing in porcine models to prevent misinterpretation of results and increase the translatability of findings to humans.
Keyphrases
  • wound healing
  • spinal cord
  • magnetic resonance
  • deep brain stimulation
  • escherichia coli
  • staphylococcus aureus
  • spinal cord injury
  • artificial intelligence