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Pullulan-Collagen hydrogel wound dressing promotes dermal remodelling and wound healing compared to commercially available collagen dressings.

Kellen ChenDharshan SivarajMichael F DavittMelissa C LeeolouDominic HennSydney R SteeleSavana L HuskinsArtem A TrotsyukHudson C KussieAutumn H GrecoJagannath PadmanabhanDavid P PerraultAlsu I ZamaleevaMichael T LongakerGeoffrey C Gurtner
Published in: Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society (2022)
Biological scaffolds such as hydrogels provide an ideal, physio-mimetic of native extracellular matrix (ECM) that can improve wound healing outcomes after cutaneous injury. While most studies have focused on the benefits of hydrogels in accelerating wound healing, there are minimal data directly comparing different hydrogel material compositions. In this study, we utilized a splinted excisional wound model that recapitulates human-like wound healing in mice and treated wounds with three different collagen hydrogel dressings. We assessed the feasibility of applying each dressing and performed histologic and histopathologic analysis on the explanted scar tissues to assess variations in collagen architecture and alignment, as well as the tissue response. Our data indicate that the material properties of hydrogel dressings can significantly influence healing time, cellular response, and resulting architecture of healed scars. Specifically, our pullulan-collagen hydrogel dressing accelerated wound closure and promoted healed tissue with less dense, more randomly aligned, and shorter collagen fibres. Further understanding of how hydrogel properties affect the healing and resulting scar architecture of wounds may lead to novel insights and further optimization of the material properties of wound dressings.
Keyphrases
  • wound healing
  • extracellular matrix
  • tissue engineering
  • endothelial cells
  • electronic health record
  • gene expression
  • big data
  • machine learning
  • drug delivery
  • hyaluronic acid
  • data analysis
  • insulin resistance