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Article

A Highly Standardized Pre-Clinical Porcine Wound Healing Model Powered by Semi-Automated Histological Analysis

1
Department of Tissue Engineering & Regenerative Medicine (TERM), University Hospital Würzburg, 97080 Würzburg, Germany
2
EVOMEDIS GmbH, 8036 Graz, Austria
3
Department of Surgery, Division of Plastic, Aesthetic and Reconstructive Surgery, Medical University of Graz, 8036 Graz, Austria
4
TPL Path Labs GmbH, A Stagebio Company, 79111 Freiburg, Germany
5
Department of Biomedical Research, Medical University of Graz, 8036 Graz, Austria
6
Joanneum Research Forschungsgesellschaft mbH, COREMED, 8036 Graz, Austria
*
Author to whom correspondence should be addressed.
Biomedicines 2024, 12(8), 1697; https://doi.org/10.3390/biomedicines12081697
Submission received: 17 June 2024 / Revised: 10 July 2024 / Accepted: 25 July 2024 / Published: 31 July 2024
(This article belongs to the Section Molecular and Translational Medicine)

Abstract

The wound-healing process is a physiological response that begins after a disruption to the integrity of tissues present in the skin. To understand the intricacies involved in this process, many groups have tried to develop different in vitro models; however, the lack of a systemic response has, until this day, been the major barrier to the establishment of these models as the main study platform. Therefore, in vivo models are still the most common system for studying healing responses following different treatments, especially porcine models, which share several morphological similarities to the human skin. In this work, we developed a porcine excisional wound model and used semi-automated software as a strategy to generate quantitative morphometric results of healing responses by specific tissues and compartments. Our aim was to extract the most information from the model while producing reliable, reproducible, and standardized results. In order to achieve this, we established a 7-day treatment using a bacterial cellulose dressing as our standard for all the analyzed wounds. The thickness of the residual dermis under the wound (DUtW) bed was shown to influence the healing outcome, especially for the regeneration of epidermal tissue, including the wound closure rate. The analysis of the DUtW throughout the entire dorsal region of the animals opened up the possibility of establishing a map that will facilitate the experimental design of future works, increasing their standardization and reproducibility and ultimately reducing the number of animals needed. Thus, the developed model, together with the automated morphometric analysis approach used, offers the possibility to generate robust quantitative results with a rapid turnaround time while allowing the study of multiple extra morphometric parameters, creating a more holistic analysis.
Keywords: wound healing model; semi-automated analysis; standardization; reproducibility; burns; translational model wound healing model; semi-automated analysis; standardization; reproducibility; burns; translational model

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MDPI and ACS Style

Bernardelli de Mattos, I.; Tuca, A.C.; Kukla, F.; Lemarchand, T.; Markovic, D.; Kamolz, L.P.; Funk, M. A Highly Standardized Pre-Clinical Porcine Wound Healing Model Powered by Semi-Automated Histological Analysis. Biomedicines 2024, 12, 1697. https://doi.org/10.3390/biomedicines12081697

AMA Style

Bernardelli de Mattos I, Tuca AC, Kukla F, Lemarchand T, Markovic D, Kamolz LP, Funk M. A Highly Standardized Pre-Clinical Porcine Wound Healing Model Powered by Semi-Automated Histological Analysis. Biomedicines. 2024; 12(8):1697. https://doi.org/10.3390/biomedicines12081697

Chicago/Turabian Style

Bernardelli de Mattos, Ives, Alexandru C. Tuca, Fabian Kukla, Thomas Lemarchand, Danijel Markovic, Lars P. Kamolz, and Martin Funk. 2024. "A Highly Standardized Pre-Clinical Porcine Wound Healing Model Powered by Semi-Automated Histological Analysis" Biomedicines 12, no. 8: 1697. https://doi.org/10.3390/biomedicines12081697

APA Style

Bernardelli de Mattos, I., Tuca, A. C., Kukla, F., Lemarchand, T., Markovic, D., Kamolz, L. P., & Funk, M. (2024). A Highly Standardized Pre-Clinical Porcine Wound Healing Model Powered by Semi-Automated Histological Analysis. Biomedicines, 12(8), 1697. https://doi.org/10.3390/biomedicines12081697

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