{"title":"利用 16 S rRNA 分析探讨戴口罩前后口罩鼻炎患者和健康对照组面部微生物群的变化。","authors":"Kexin Deng, Xiaofei Tong, Shuyue Chen, Guojun Wu, Ke Shi, Hao Chen, Yurong Tan, Junlin Liao, Jianda Zhou, Junxiang Zhao","doi":"10.1007/s44197-024-00240-6","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442795/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploration of the Changes in Facial Microbiota of Maskne Patients and Healthy Controls Before and After Wearing Masks Using 16 S rRNA Analysis.\",\"authors\":\"Kexin Deng, Xiaofei Tong, Shuyue Chen, Guojun Wu, Ke Shi, Hao Chen, Yurong Tan, Junlin Liao, Jianda Zhou, Junxiang Zhao\",\"doi\":\"10.1007/s44197-024-00240-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":15796,\"journal\":{\"name\":\"Journal of Epidemiology and Global Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442795/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Epidemiology and Global Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s44197-024-00240-6\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Epidemiology and Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s44197-024-00240-6","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
无论是在医疗领域,还是在人们的日常生活和健康防护中,口罩的重要性都越来越受到重视。痤疮是戴口罩后最常见的并发症,也被称为 "口罩痤疮",作为皮肤科医生会诊的常见话题,它已经成功地进入了人们的日常生活。本研究旨在研究戴口罩前后,口罩痤疮患者和健康对照者体内微生物菌群的变化。2023 年夏天,我们收集了 15 名口罩病患者和 10 名健康对照者在长期佩戴外科口罩前后的共 50 份样本。采用 16 S 核糖体 DNA 测序和 V3-V4 变区鉴定技术,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,并建立相互作用网络。通过 LDA效应大小分析,确定了哪些细菌从门到属的相对丰度发生了显著变化。戴口罩后,口罩病患者微生物组的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口罩病患者和戴口罩后的健康对照组。共现网络分析显示,与其他组别相比,长期佩戴口罩的口罩病患者的网络连通性和复杂性最低,但聚类属性最高,而健康对照组则相反。戴口罩后,许多可能对皮肤有益的微生物明显减少。健康对照组在戴口罩前后几乎没有差异。
Exploration of the Changes in Facial Microbiota of Maskne Patients and Healthy Controls Before and After Wearing Masks Using 16 S rRNA Analysis.
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.
期刊介绍:
The Journal of Epidemiology and Global Health is an esteemed international publication, offering a platform for peer-reviewed articles that drive advancements in global epidemiology and international health. Our mission is to shape global health policy by showcasing cutting-edge scholarship and innovative strategies.