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Updated: Jun 5, 2025
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A Novel High-Throughput Ex Vivo Ovine Skin Wound Model for Testing Emerging Antibiotics
Published on: September 16, 2022
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Broadly Accessible 3D In Vitro Skin Model as a Comprehensive Platform for Antibacterial Therapy Screening
Simona Villata1, Désirée Baruffaldi1, Raquel Cue Lopez1
1Dipartimento di Scienza Applicata e Tecnologia, PolitoBIOMed Lab, Politecnico di Torino, Turin 10129, Italy.
ACS Applied Materials & Interfaces
|December 12, 2024
Summary
A new 3D skin model effectively mimics wound and infection responses, offering a promising platform for testing novel antibacterial therapies against spreading antibiotic-resistant bacteria.
Area of Science:
- Biotechnology
- Infectious Diseases
- Dermatology
Background:
- Antibiotic resistance is a global crisis, necessitating new antibacterial strategies.
- Traditional cell cultures fail to replicate complex skin infection environments.
- Innovative 3D in vitro models are crucial for testing new therapies.
Purpose of the Study:
- To develop and validate a reproducible 3D in vitro epidermis-dermis skin model.
- To assess the model's response to wounding, infection, and antibiotic treatment.
- To establish a platform for evaluating antibacterial therapies.
Main Methods:
- Biofabrication of a 3D in vitro epidermis-dermis skin model.
- Controlled induction of wounding and bacterial infection.
- Administration of antibiotic treatments and analysis of host responses.
Main Results:
- The 3D skin model demonstrated a functional physical barrier and responded comprehensively to wounds and infections.
- Observed responses included extracellular matrix remodeling, inflammation, and antimicrobial peptide production.
- Differential inflammatory responses to antibiotic treatment were noted between bacterial strains, potentially due to endotoxin release.
Conclusions:
- The developed 3D in vitro skin model accurately simulates infection and healing processes.
- This model serves as a valuable tool for testing the efficacy of novel antibacterial strategies.
- It represents a significant advancement for preclinical evaluation of antimicrobial therapies.
