Multilayer In Vitro Human Skin Tissue Platforms for Quantitative Burn Injury Investigation

Bioengineering (Basel). 2023 Feb 17;10(2):265. doi: 10.3390/bioengineering10020265.

Abstract

This study presents a multilayer in vitro human skin platform to quantitatively relate predicted spatial time-temperature history with measured tissue injury response. This information is needed to elucidate high-temperature, short-duration burn injury kinetics and enables determination of relevant input parameters for computational models to facilitate treatment planning. Multilayer in vitro skin platforms were constructed using human dermal keratinocytes and fibroblasts embedded in collagen I hydrogels. After three seconds of contact with a 50-100 °C burn tip, ablation, cell death, apoptosis, and HSP70 expression were spatially measured using immunofluorescence confocal microscopy. Finite element modeling was performed using the measured thermal characteristics of skin platforms to determine the temperature distribution within platforms over time. The process coefficients for the Arrhenius thermal injury model describing tissue ablation and cell death were determined such that the predictions calculated from the time-temperature histories fit the experimental burn results. The activation energy for thermal collagen ablation and cell death was found to be significantly lower for short-duration, high-temperature burns than those found for long-duration, low-temperature burns. Analysis of results suggests that different injury mechanisms dominate at higher temperatures, necessitating burn research in the temperature ranges of interest and demonstrating the practicality of the proposed skin platform for this purpose.

Keywords: Arrhenius model; high temperature; human skin burns; in vitro model.

Grants and funding

This study was funded by the US Army Natick Soldier Systems Center in order to validate their burn-protective gear-testing protocols. We acknowledge support from the Oden Institute for Computational Engineering and Sciences-MD Anderson Cancer Center-Texas Advanced Compu-ting Center consortium for Oncological Data and Computational Science.