Chanidapa Wongtada1, Thanaporn Puaratana-Arunkon1, Pinidphon Prombutara2, Pravit Asawanonda1, Nopadon Noppakun1, Chanat Kumtornrut1, Tanittha Chatsuwan3,4. 1. Division of Dermatology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. 2. Department of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand. 3. Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. 4. Antimicrobial Resistance and Stewardship Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Abstract
Introduction: Prolonged mask-wearing could modulate the skin microenvironment resulting in several facial dermatoses. Microbial dysbiosis is proposed to be linked with these changes; however, data regarding the association is still limited. Accordingly, we aimed to explore the impact of face masks on the skin's bacterial microbiota. Methods: We classified participants into short (<4 h/day) and long (≥4 h/day) mask-wearing time (SMWT and LMWT) groups according to mask-wearing time per day in the previous 2 weeks. Specimens were swabbed from the cheek and forehead of 45 mild acne vulgaris patients, representing mask-covered area (MCA) and mask-uncovered area (MUA), respectively. The 16S rRNA gene sequencing and QIIME2 were used to characterize bacterial communities. Results: There were 12 (26.7%) and 33 (73.3%) participants in SMWT and LMWT, respectively. There were no significant differences in beta diversity across MCA/MUA or LMWT/SMWT groups. In alpha-diversity, the evenness on MCA was significantly lower in LMWT than in SMWT (p value = 0.049). Among all groups, the relative abundance of bacterial taxa was similar, showing Actinobacteriota and Firmicutes, and Cutibacterium and Staphylococcus as the most predominant phyla and genera, respectively. Conclusion: Our results showed no significant impact of mask-wearing on the skin microbiota in mild acne vulgaris participants.
Introduction: Prolonged mask-wearing could modulate the skin microenvironment resulting in several facial dermatoses. Microbial dysbiosis is proposed to be linked with these changes; however, data regarding the association is still limited. Accordingly, we aimed to explore the impact of face masks on the skin's bacterial microbiota. Methods: We classified participants into short (<4 h/day) and long (≥4 h/day) mask-wearing time (SMWT and LMWT) groups according to mask-wearing time per day in the previous 2 weeks. Specimens were swabbed from the cheek and forehead of 45 mild acne vulgaris patients, representing mask-covered area (MCA) and mask-uncovered area (MUA), respectively. The 16S rRNA gene sequencing and QIIME2 were used to characterize bacterial communities. Results: There were 12 (26.7%) and 33 (73.3%) participants in SMWT and LMWT, respectively. There were no significant differences in beta diversity across MCA/MUA or LMWT/SMWT groups. In alpha-diversity, the evenness on MCA was significantly lower in LMWT than in SMWT (p value = 0.049). Among all groups, the relative abundance of bacterial taxa was similar, showing Actinobacteriota and Firmicutes, and Cutibacterium and Staphylococcus as the most predominant phyla and genera, respectively. Conclusion: Our results showed no significant impact of mask-wearing on the skin microbiota in mild acne vulgaris participants.
Authors: Evan Bolyen; Jai Ram Rideout; Matthew R Dillon; Nicholas A Bokulich; Christian C Abnet; Gabriel A Al-Ghalith; Harriet Alexander; Eric J Alm; Manimozhiyan Arumugam; Francesco Asnicar; Yang Bai; Jordan E Bisanz; Kyle Bittinger; Asker Brejnrod; Colin J Brislawn; C Titus Brown; Benjamin J Callahan; Andrés Mauricio Caraballo-Rodríguez; John Chase; Emily K Cope; Ricardo Da Silva; Christian Diener; Pieter C Dorrestein; Gavin M Douglas; Daniel M Durall; Claire Duvallet; Christian F Edwardson; Madeleine Ernst; Mehrbod Estaki; Jennifer Fouquier; Julia M Gauglitz; Sean M Gibbons; Deanna L Gibson; Antonio Gonzalez; Kestrel Gorlick; Jiarong Guo; Benjamin Hillmann; Susan Holmes; Hannes Holste; Curtis Huttenhower; Gavin A Huttley; Stefan Janssen; Alan K Jarmusch; Lingjing Jiang; Benjamin D Kaehler; Kyo Bin Kang; Christopher R Keefe; Paul Keim; Scott T Kelley; Dan Knights; Irina Koester; Tomasz Kosciolek; Jorden Kreps; Morgan G I Langille; Joslynn Lee; Ruth Ley; Yong-Xin Liu; Erikka Loftfield; Catherine Lozupone; Massoud Maher; Clarisse Marotz; Bryan D Martin; Daniel McDonald; Lauren J McIver; Alexey V Melnik; Jessica L Metcalf; Sydney C Morgan; Jamie T Morton; Ahmad Turan Naimey; Jose A Navas-Molina; Louis Felix Nothias; Stephanie B Orchanian; Talima Pearson; Samuel L Peoples; Daniel Petras; Mary Lai Preuss; Elmar Pruesse; Lasse Buur Rasmussen; Adam Rivers; Michael S Robeson; Patrick Rosenthal; Nicola Segata; Michael Shaffer; Arron Shiffer; Rashmi Sinha; Se Jin Song; John R Spear; Austin D Swafford; Luke R Thompson; Pedro J Torres; Pauline Trinh; Anupriya Tripathi; Peter J Turnbaugh; Sabah Ul-Hasan; Justin J J van der Hooft; Fernando Vargas; Yoshiki Vázquez-Baeza; Emily Vogtmann; Max von Hippel; William Walters; Yunhu Wan; Mingxun Wang; Jonathan Warren; Kyle C Weber; Charles H D Williamson; Amy D Willis; Zhenjiang Zech Xu; Jesse R Zaneveld; Yilong Zhang; Qiyun Zhu; Rob Knight; J Gregory Caporaso Journal: Nat Biotechnol Date: 2019-08 Impact factor: 54.908
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