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Abstract
During the COVID-19 pandemic, facemasks played a pivotal role in preventing person-person droplet transmission of viral particles. However, prolonged facemask wearing causes skin irritations colloquially referred to as ‘maskne’ (mask + acne), which manifests as acne and contact dermatitis and is mostly caused by pathogenic skin microbes. Previous studies revealed that the putative causal microbes were anaerobic bacteria, but the pathogenesis of facemask-associated skin conditions remains poorly defined. We therefore characterized the role of the facemask-associated skin microbiota in the development of maskne using culture-dependent and -independent methodologies. Metagenomic analysis revealed that the majority of the facemask microbiota were anaerobic bacteria that originated from the skin rather than saliva. Previous work demonstrated direct interaction between pathogenic bacteria and antagonistic strains in the microbiome. We expanded this analysis to include indirect interaction between pathogenic bacteria and other indigenous bacteria classified as either ‘pathogen helper (PH)’ or ‘pathogen inhibitor (PIn)’ strains. In vitro screening of bacteria isolated from facemasks identified both strains that antagonized and promoted pathogen growth. These data were validated using a mouse skin infection model, where we observed attenuation of symptoms following pathogen infection. Moreover, the inhibitor of pathogen helper (IPH) strain, which did not directly attenuate pathogen growth in vitro and in vivo, functioned to suppress symptom development and pathogen growth indirectly through PH inhibitory antibacterial products such as phenyl lactic acid. Taken together, our study is the first to define a mechanism by which indirect microbiota interactions under facemasks can control symptoms of maskne by suppressing a skin pathogen.
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1 KRIBB, Infectious Disease Research Center, Daejeon, South Korea (GRID:grid.249967.7) (ISNI:0000 0004 0636 3099); Sungkyunkwan University, Department of Interdisciplinary Program in Biocosmetics, College of Biotechnology and Bioengineering, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)
2 Korea Research Institute of Standards and Science, Division of Metrology for Quality of Life, Center for Bioanalysis, Daejeon, Republic of Korea (GRID:grid.410883.6) (ISNI:0000 0001 2301 0664)
3 Incheon National University, Department of Nano-Bioengineering, Incheon, South Korea (GRID:grid.412977.e) (ISNI:0000 0004 0532 7395)
4 KRIBB, Infectious Disease Research Center, Daejeon, South Korea (GRID:grid.249967.7) (ISNI:0000 0004 0636 3099)
5 KRIBB, Infectious Disease Research Center, Daejeon, South Korea (GRID:grid.249967.7) (ISNI:0000 0004 0636 3099); University of Science and Technology (UST), Functional Genomics Program, Daejeon, South Korea (GRID:grid.412786.e) (ISNI:0000 0004 1791 8264)
6 Konkuk University, Department of Bioscience and Biotechnology, Seoul, Republic of Korea (GRID:grid.258676.8) (ISNI:0000 0004 0532 8339)
7 Konkuk University, Department of Bioscience and Biotechnology, Seoul, Republic of Korea (GRID:grid.258676.8) (ISNI:0000 0004 0532 8339); Konkuk University, Research Institute for Bioactive-Metabolome Network, Seoul, Republic of Korea (GRID:grid.258676.8) (ISNI:0000 0004 0532 8339)
8 Sungkyunkwan University, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)