Skin wound healing assessment via an optimized wound array model in miniature pigs

Ting Yung Kuo, Chao Cheng Huang, Shyh Jou Shieh, Yu Bin Wang, Ming Jen Lin, Ming Che Wu, Lynn L.H. Huang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

12 Scopus citations

Abstract

An appropriate animal wound model is urgently needed to assess wound dressings, cell therapies, and pharmaceutical agents. Minipig was selected owing to similarities with humans in body size, weight, and physiological status. Different wound sizes (0.07–100 cm2) were created at varying distances but fail to adequately distinguish the efficacy of various interventions. We aimed to resolve potential drawbacks by developing a systematic wound healing system. No significant variations in dorsal wound closure and contraction were observed within the thoracolumbar region between boundaries of both armpits and the paravertebral region above rib tips; therefore, Lanyu pigs appear suitable for constructing a reliable dorsal wound array. Blood flow signals interfered with inter-wound distances ˂ 4 cm; a distance > 4 cm is therefore recommended. Wound sizes ≥ 4 cm × 4 cm allowed optimal differentiation of interventions. Partial- (0.23 cm) and full-thickness (0.6 cm) wounds showed complete re-epithelialization on days 13 and 18 and strongest blood flow signals at days 4 and 11, respectively. Given histological and tensile strength assessments, tissue healing resembling normal skin was observed at least after 6 months. We established some golden standards for minimum wound size and distance between adjacent wounds for effectively differentiating interventions in considering 3R principles.

Original languageEnglish
Article number445
JournalScientific Reports
Volume12
Issue number1
DOIs
StatePublished - 12 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Fingerprint

Dive into the research topics of 'Skin wound healing assessment via an optimized wound array model in miniature pigs'. Together they form a unique fingerprint.

Cite this