{"title":"酒渣鼻面部皮肤微生物群的分析与特征","authors":"Junying Li, Peng Cao, Quanzhong Liu, Weifeng Yao, Zhenhua Nie, Litao Zhang","doi":"10.5812/jjm-132246","DOIUrl":null,"url":null,"abstract":"Background: The evidence has shown the relationship between the microbiota of the face and several skin conditions. However, for rosacea patients, the changes in the facial skin microbiota still remain unknown. Objectives: This study was performed to explore the correlation between the facial skin microbiota and rosacea and analyze and characterize the facial skin microbiota of rosacea patients in comparison to healthy controls using 16S rDNA amplicon sequencing. Methods: A total of 27 rosacea patients and 25 healthy controls were matched. The DNA was extracted from participants’ skin swabs taken from the nose, chin, forehead, and bilateral cheeks. The V3V4 region of the 16S rRNA gene was sequenced using Illumina MiSeq technology. The diversity of the face skin microbiota was examined using alpha and beta diversity. Utilizing linear discriminant analysis effect size (LEfSe), the quantitative study of biomarkers in the two groups was carried out. Clusters of orthologous groups and Kyoto encyclopedia of genes and genomes function predictions were made at the genus level utilizing phylogenetic investigation of communities by reconstruction of unobserved states. Results: The alpha diversity of the facial skin microbiota increased significantly in rosacea patients, and beta diversity showed substantial differences between the rosacea and healthy control groups. The facial skin microbiota community structure changed in rosacea patients; however, the dominant strains were the same as in healthy controls, both being Propionibacterium acnes and Staphylococcus epidermidis. The LEfSe demonstrated that Xanthomonas, Acinetobacter, and Pseudomonas were enriched in the rosacea patients; nevertheless, Corynebacterium, Finegoldia, and Peptoniphilus were enriched in the healthy controls. The rosacea patients showed significantly decreased expression in the pathways of membrane transport, carbohydrate metabolism, metabolic diseases, amino acid transport and metabolism, carbohydrate transport and metabolism, transcription, and inorganic ion transport and metabolism. Conclusions: The facial skin microbiota diversity and community structure changed, and the expression of several metabolic pathways was downregulated in the rosacea patients in comparison to the healthy controls, which might outline new strategic methods for the surveillance, diagnosis, and treatment of rosacea.","PeriodicalId":17803,"journal":{"name":"Jundishapur Journal of Microbiology","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis and Characterization of the Facial Skin Microbiota in Rosacea\",\"authors\":\"Junying Li, Peng Cao, Quanzhong Liu, Weifeng Yao, Zhenhua Nie, Litao Zhang\",\"doi\":\"10.5812/jjm-132246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The evidence has shown the relationship between the microbiota of the face and several skin conditions. However, for rosacea patients, the changes in the facial skin microbiota still remain unknown. Objectives: This study was performed to explore the correlation between the facial skin microbiota and rosacea and analyze and characterize the facial skin microbiota of rosacea patients in comparison to healthy controls using 16S rDNA amplicon sequencing. Methods: A total of 27 rosacea patients and 25 healthy controls were matched. The DNA was extracted from participants’ skin swabs taken from the nose, chin, forehead, and bilateral cheeks. The V3V4 region of the 16S rRNA gene was sequenced using Illumina MiSeq technology. The diversity of the face skin microbiota was examined using alpha and beta diversity. Utilizing linear discriminant analysis effect size (LEfSe), the quantitative study of biomarkers in the two groups was carried out. Clusters of orthologous groups and Kyoto encyclopedia of genes and genomes function predictions were made at the genus level utilizing phylogenetic investigation of communities by reconstruction of unobserved states. Results: The alpha diversity of the facial skin microbiota increased significantly in rosacea patients, and beta diversity showed substantial differences between the rosacea and healthy control groups. The facial skin microbiota community structure changed in rosacea patients; however, the dominant strains were the same as in healthy controls, both being Propionibacterium acnes and Staphylococcus epidermidis. The LEfSe demonstrated that Xanthomonas, Acinetobacter, and Pseudomonas were enriched in the rosacea patients; nevertheless, Corynebacterium, Finegoldia, and Peptoniphilus were enriched in the healthy controls. The rosacea patients showed significantly decreased expression in the pathways of membrane transport, carbohydrate metabolism, metabolic diseases, amino acid transport and metabolism, carbohydrate transport and metabolism, transcription, and inorganic ion transport and metabolism. Conclusions: The facial skin microbiota diversity and community structure changed, and the expression of several metabolic pathways was downregulated in the rosacea patients in comparison to the healthy controls, which might outline new strategic methods for the surveillance, diagnosis, and treatment of rosacea.\",\"PeriodicalId\":17803,\"journal\":{\"name\":\"Jundishapur Journal of Microbiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jundishapur Journal of Microbiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/jjm-132246\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jundishapur Journal of Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/jjm-132246","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
Analysis and Characterization of the Facial Skin Microbiota in Rosacea
Background: The evidence has shown the relationship between the microbiota of the face and several skin conditions. However, for rosacea patients, the changes in the facial skin microbiota still remain unknown. Objectives: This study was performed to explore the correlation between the facial skin microbiota and rosacea and analyze and characterize the facial skin microbiota of rosacea patients in comparison to healthy controls using 16S rDNA amplicon sequencing. Methods: A total of 27 rosacea patients and 25 healthy controls were matched. The DNA was extracted from participants’ skin swabs taken from the nose, chin, forehead, and bilateral cheeks. The V3V4 region of the 16S rRNA gene was sequenced using Illumina MiSeq technology. The diversity of the face skin microbiota was examined using alpha and beta diversity. Utilizing linear discriminant analysis effect size (LEfSe), the quantitative study of biomarkers in the two groups was carried out. Clusters of orthologous groups and Kyoto encyclopedia of genes and genomes function predictions were made at the genus level utilizing phylogenetic investigation of communities by reconstruction of unobserved states. Results: The alpha diversity of the facial skin microbiota increased significantly in rosacea patients, and beta diversity showed substantial differences between the rosacea and healthy control groups. The facial skin microbiota community structure changed in rosacea patients; however, the dominant strains were the same as in healthy controls, both being Propionibacterium acnes and Staphylococcus epidermidis. The LEfSe demonstrated that Xanthomonas, Acinetobacter, and Pseudomonas were enriched in the rosacea patients; nevertheless, Corynebacterium, Finegoldia, and Peptoniphilus were enriched in the healthy controls. The rosacea patients showed significantly decreased expression in the pathways of membrane transport, carbohydrate metabolism, metabolic diseases, amino acid transport and metabolism, carbohydrate transport and metabolism, transcription, and inorganic ion transport and metabolism. Conclusions: The facial skin microbiota diversity and community structure changed, and the expression of several metabolic pathways was downregulated in the rosacea patients in comparison to the healthy controls, which might outline new strategic methods for the surveillance, diagnosis, and treatment of rosacea.
期刊介绍:
Jundishapur Journal of Microbiology, (JJM) is the official scientific Monthly publication of Ahvaz Jundishapur University of Medical Sciences. JJM is dedicated to the publication of manuscripts on topics concerning all aspects of microbiology. The topics include medical, veterinary and environmental microbiology, molecular investigations and infectious diseases. Aspects of immunology and epidemiology of infectious diseases are also considered.