关键词: 16s rRNA Acne Mask Maskne Microbiota Skin

来  源:   DOI:10.1007/s44197-024-00240-6

Abstract:
Whether in the field of medical care, or in people\'s daily life and health protection, the importance of masks has been paid more and more attention. Acne, the most common complication after wearing masks, which is also called maskne, has been successfully introduced into the common language as a common topic of dermatologist consultations. This study aims to study the changes of microflora in maskne patients and healthy controls before and after wearing masks. In the summer of 2023, we collected a total of 50 samples from 15 maskne patients and 10 healthy controls before and after wearing surgical masks for a long time. 16 S ribosomal DNA sequencing and identification technology with V3-V4 variable region were adopted to explore the microbiome changes caused by mask wearing, analyze the changes in microbial diversity, and make interaction network. LDA effect size analysis was used to identify which bacteria showed significant changes in their relative abundance from phylum to genus. After wearing a mask, the microbiome of the maskne patients changed significantly more than that of the healthy controls, with both α diversity and β diversity lower than those of maskne patients before wearing masks and those of healthy controls after wearing masks. Co-occurrence network analysis showed that compared with other groups, the network of maskne patients after wearing masks for a long time had the lowest connectivity and complexity, but the highest clustering property, while the opposite was true for healthy controls. Many microbes that are potentially beneficial to the skin decreased significantly after wearing a mask. There was almost no difference in healthy controls before and after wearing a mask.
摘要:
无论是在医疗领域,或在人们的日常生活和健康保护,口罩的重要性越来越受到重视。痤疮,戴口罩后最常见的并发症,也叫maskne,已成功引入通用语言作为皮肤科医生咨询的共同话题。本研究旨在研究口罩患者和健康对照者戴口罩前后微生物区系的变化。在2023年夏天,我们从15名maskne患者和10名健康对照者中收集了50个样本,这些样本在长时间佩戴外科口罩之前和之后。采用具有V3-V4可变区的16S核糖体DNA测序和鉴定技术,探讨戴口罩引起的微生物组变化,分析微生物多样性的变化,并建立互动网络。LDA效应大小分析用于鉴定哪些细菌从门到属的相对丰度显示出显着变化。戴上面具后,maskne患者的微生物组变化明显大于健康对照组,α多样性和β多样性均低于戴口罩前的maskne患者和戴口罩后的健康对照者。共现网络分析显示,与其他群体相比,长时间戴口罩后的maskne患者网络的连通性和复杂性最低,但是最高的聚类属性,而健康对照则相反。许多可能对皮肤有益的微生物在戴上口罩后显著减少。在戴口罩之前和之后,健康对照几乎没有差异。
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