Presentation Title: Computational Modeling of Dermal Replacement Therapy for Difficult-to-Heal Wounds
Author Name(s): David O. Sohutskay1,2, Adrian Buganza Tepole1,3, Sherry L. Voytik-Harbin1,4
Author Department and School Affiliation: 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907; 2Indiana University School of Medicine, Indianapolis, IN 46202; 3Department of Mechanical Engineering, Purdue University, West Lafayette, IN 47907; 4Department of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907
Aim: Difficult-to-heal wounds lead to displeasing cosmetic outcomes and also carry a high burden of scarring, contracture, or amputation due to nonhealing. There exists a need for regenerative dermal replacement strategies that adapt and grow with the individual, but a continuing challenge is identification of optimal scaffold parameters for healing. We present a new computational model for prioritization of collagen scaffold design parameters for dermal regeneration.
Methods: In previous animal experiments, we evaluated dermal replacement scaffolds custom-fabricated from fibril-forming collagen oligomer with controlled fibril density in rat excisional wounds. We now parameterize the scaffold parameters in representative constitutive laws and developed a chemo-bio-mechanical finite element model including collagen, cells, and cytokine signaling to simulate wound healing.
Results: Collagen microstructure was quantified from scanning electron micrographs. A constitutive law for collagen mechanics was fit to uniaxial tensile tests. Using this information, we conducted preliminary three-dimensional finite element model simulations of wound contraction, recellularization, and collagen remodeling. We will iteratively inform the model by comparing computational model predictions with actual experimental outcomes.
Conclusions: We developed a mechanobiological computational model of wound healing. The model will be used to explore cell-scaffold interactions for purposes of prediction and optimization of tissue regeneration outcomes.
Keywords: collagen, mechanobiology, wound healing