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Human Skin Biofilm Model: Translational Impact on Swabbing and Debridement

Overview
Journal J Wound Care
Specialty Nursing
Date 2023 Jul 5
PMID 37405939
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Abstract

Objective: Wound biofilms are one of the greatest challenges in the therapy of hard-to-heal (chronic) wounds, as potent antimicrobial substances fail to eradicate bacteria within short incubation periods. Preclinical investigations using novel model systems that closely mimic the human wound environment and wound biofilm are required to identify new and effective therapeutic options. This study aims to identify bacterial colonisation patterns that are relevant for diagnosis and therapy.

Method: In this study, a recently established human plasma biofilm model (hpBIOM) was incorporated into a wound within human dermal resectates after abdominoplasty. The interaction of the biofilm-forming bacteria meticillin-resistant (MRSA) and with the skin cells was investigated. Possible effects on wound healing processes in correlation with the persistence of the biofilm in the wound environment were analysed in patients with leg ulcers of different aetiologies and biofilm burden.

Results: Using haematoxylin and eosin staining, species-dependent infiltration modes of the bacteria into the wound tissue were determined for the pathogens MRSA and . The spreading behaviour correlated with clinical observations of the spatial distributions of the bacteria. In particular, the clinically prominent -specific distension of the wound margin was identified as epidermolysis due to persistent infiltration.

Conclusion: The hpBIOM applied in this study represents a potential tool for preclinical analyses dealing with approval processes for new antimicrobial applications. In terms of clinical practice, a microbiological swabbing technique including the wound margin should be routinely applied to prevent wound exacerbation.

Citing Articles

Characterization of the Human Plasma Biofilm Model (hpBIOM) to Identify Potential Therapeutic Targets for Wound Management of Chronic Infections.

Dietrich M, Besser M, Stuermer E Microorganisms. 2024; 12(2).

PMID: 38399673 PMC: 10892339. DOI: 10.3390/microorganisms12020269.


Quantitative Insights and Visualization of Antimicrobial Tolerance in Mixed-Species Biofilms.

Dittmer M, Brill F, Kampe A, Geffken M, Rembe J, Moll R Biomedicines. 2023; 11(10).

PMID: 37893014 PMC: 10604264. DOI: 10.3390/biomedicines11102640.