A sustainable strategy for generating highly stable human skin equivalents based on fish collagen

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A sustainable strategy for generating highly stable human skin equivalents based on fish collagen
Title:
A sustainable strategy for generating highly stable human skin equivalents based on fish collagen
Journal Title:
Biomaterials Advances
Publication Date:
24 January 2024
Citation:
Tan, S. H., Liu, S., Teoh, S. H., Bonnard, C., Leavesley, D., & Liang, K. (2024). A sustainable strategy for generating highly stable human skin equivalents based on fish collagen. Biomaterials Advances, 158, 213780. https://doi.org/10.1016/j.bioadv.2024.213780
Abstract:
Tissue engineered skin equivalents are increasingly recognized as potential alternatives to traditional skin models such as human ex vivo skin or animal skin models. However, most of the currently investigated human skin equivalents (HSEs) are constructed using mammalian collagen which can be expensive and difficult to extract. Fish skin is a waste product produced by fish processing industries and identified as a cost-efficient and sustainable source of type I collagen. In this work, we describe a method for generating highly stable HSEs based on fibrin fortified tilapia fish collagen. The fortified fish collagen (FFC) formulation is optimized to enable reproducible fabrication of full-thickness HSEs that undergo limited contraction, facilitating the incorporation of human donor-derived skin cells and formation of biomimetic dermal and epidermal layers. The morphology and barrier function of the FFC HSEs are compared with a commercial skin model and validated with immunohistochemical staining and transepithelial electrical resistance testing. Finally, the potential of a high throughput screening platform with FFC HSE is explored by scaling down its fabrication to 96-well format.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the A*STAR - CDF
Grant Reference no. : C210112030

This research / project is supported by the A*STAR - IAF-PP
Grant Reference no. : H1701a0004)

This research / project is supported by the A*STAR - AME programmatic grant
Grant Reference no. : A18A8b0059
Description:
ISSN:
2772-9508
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