Synergistic tissue destruction by Staphylococcus aureus and Staphylococcus epidermidis in a 3D human skin biofilm equivalent
Year: 2026
Type: article
Abstract: Staphylococci are common skin commensals that can transition into opportunistic pathogens, particularly in biofilm-associated and polymicrobial infections. However, how interspecies interactions modulate virulence remains poorly understood, partly due to a lack of human-relevant models. We adapted a human cell–based three-dimensional skin equivalent (3DSE) into a biofilm infection model using monospecies biofilms of Staphylococcus aureus or Staphylococcus epidermidis , and a dualspecies co-culture. Biofilm architecture and spatial distribution were analysed by histology and fluorescence in situ hybridisation, while bacterial dominance was assessed by colony-forming unit counts. Host responses were evaluated using a composite biofilm destruction score, lactate dehydrogenase release, apoptosis and tight junction integrity, and cytokine profiling. The 3DSE supported robust, species-specific biofilm formation. Notably, despite reduced biofilm mass, dualspecies biofilms caused the most severe tissue damage, cytotoxicity and epithelial disruption. Although S. aureus dominated in co-culture, pathogenicity was not dependent on bacterial load. These findings demonstrate synergistic host modulation in polymicrobial staphylococcal biofilms and establish the 3DSE as a physiologically relevant platform for studying skin biofilm infections. • A 3D human skin equivalent models staphylococcal biofilms • S. aureus and S. epidermidis show distinct spatial biofilm formation patterns • Co-culture biofilms cause synergistic tissue damage and cytotoxicity • Dual-species infection disrupts epithelial integrity beyond mono-species effects • The model enables mechanistic study of host–microbe interactions in human skin
Source: Biofilm
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,140
Awards: G1528346922, G2175078139
OpenAlex ID: W7148401836
