中华皮肤科杂志 ›› 2021, Vol. 54 ›› Issue (3): 212-219.doi: 10.35541/cjd.20200650

• 论著 • 上一篇    下一篇

基于16S rDNA序列分析天疱疮患者皮肤菌群的变化

李丽莉    孙秀坤    沈宏   

  1. 杭州市第三人民医院皮肤科  310009
  • 收稿日期:2020-06-28 修回日期:2020-12-29 发布日期:2021-03-02
  • 通讯作者: 孙秀坤 E-mail:xiukunsun@126.com
  • 基金资助:
    杭州市科技发展计划项目(20191203B112)

Analysis of skin microbiota diversity in patients with pemphigus based on 16S rDNA sequences

Li Lili, Sun Xiukun, Shen Hong   

  1. Department of Dermatology, The Third People′s Hospital of Hangzhou, Hangzhou 310009, China 
  • Received:2020-06-28 Revised:2020-12-29 Published:2021-03-02
  • Contact: Sun Xiukun E-mail:xiukunsun@126.com
  • Supported by:
    Hangzhou Science and Technology Development Project(20191203B112)

摘要: 【摘要】 目的 采用16S rDNA测序技术研究寻常型天疱疮(PV)患者皮肤菌群多样性。方法 收集杭州市第三人民医院皮肤科10例PV患者及10例健康对照,取皮损旁(PV组)及对侧无皮损处皮肤菌群样本(PVn组),正常对照组取相应部位菌群样本。采用16S rDNA扩增子测序技术,对所有样本的菌群基因进行测序与分类,通过Usearch软件对数据聚类分析,得到可操作分类单元(OTU),获得门、纲、目、科、属水平的物种丰度。以Observed species指数、Shannon 指数和Simpson指数等反映α多样性,使用主坐标分析法(PCoA)分析β多样性。采用线性判别分析效应量(LEfSe)分析比较各组的差异物种。利用PICRUSt软件进行基因功能预测。2组非参数检验采用Wilcoxon秩和检验,3组间非参数检验采用Kruskal Waills检验。结果 注释到门、纲、目、科、属的OTU分别有2 002、1 869、1 751、1 611、1 120个,3组均以厚壁菌门、放线菌门、拟杆菌门和变形菌门为主,在属水平上,PV组及PVn组葡萄球菌属丰度最高,正常对照组为棒状杆菌属。α多样性分析显示,3组间Observed species指数、Shannon指数、Simpson指数差异均有统计学意义(均P < 0.05),PV组Shannon指数(3.24 ± 1.30)和Simpson指数(0.70 ± 0.19)均低于正常对照组(P < 0.05)。PCoA分析显示,3组间β多样性差异无统计学意义(P = 0.054)。秩和检验显示,3组间丰度差异有统计学意义的物种共32个,其中相对丰度较高的有富集于PV组的芽孢杆菌纲及富集于正常对照组的微球菌属、短波单胞菌属等。按病程 < 3个月、 ≥ 3个月分组,PV长病程组中富集的物种有梭状芽孢杆菌目、颤杆菌属及鞘氨醇单胞菌属等;短病程组γ变形菌纲富集。功能预测显示,与感染性疾病相关的基因功能富集于天疱疮组。结论 16S rDNA测序技术应用于天疱疮微生物组学研究,证实PV皮肤菌群多样性及组成结构与正常人存在一定差异。

关键词: 天疱疮, 葡萄球菌属, 皮肤菌群, 微生物组, 16S rDNA测序, 功能预测

Abstract: 【Abstract】 Objective To analyze the skin microbiota diversity in patients with pemphigus vulgaris (PV) using 16S rDNA sequencing. Methods Ten patients with PV and 10 healthy controls were collected from the Department of Dermatology, the Third People′s Hospital of Hangzhou. Skin swabs were collected from perilesional skin (PV group) and contralateral non-lesional skin (PVn group) of the patients with PV, as well as from the corresponding body sites of the healthy controls (normal control group). The 16S rDNA amplicon sequencing technology was used for gene sequencing and classification in all microbiota samples, and Usearch software for data cluster analysis to obtain operational taxonomic units (OTUs) and assess species abundance at the phylum, class, order, family and genus levels. Observed species index, Shannon index and Simpson index were used to estimate α diversity, and principal coordinate analysis (PCoA) was performed to analyze β diversity. Linear discriminant analysis effect size (LEfSe) analysis was conducted to identify differentially abundant species in each group. PICRUSt software was used for gene function prediction. Wilcoxon rank sum test was used as nonparametric test for comparisons between 2 groups, and Kruskal Waills test as nonparametric test for comparisons among 3 groups. Results There were 2 002, 1 869, 1 751, 1 611 and 1 120 OTUs at phylum, class, order, family and genus levels respectively. Cluster analysis showed that skin microbiome in the 3 groups mainly consisted of Firmicutes, Actinobacteria, Bacteroidetes and Proteobacteria at the phylum level. At the genus level, Staphylococcus was the most abundant in the PV group and PVn group, and Corynebacterium was the most abundant in the normal control group. The observed species index, Shannon index and Simpson index all significantly differed among the 3 groups (all P < 0.05), and the Shannon index and Simpson index were significantly lower in the PV group (3.24 ± 1.30, 0.70 ± 0.19, respectively) than in the normal control group (P < 0.05). PCoA analysis showed no significant difference in β diversity among the 3 groups (P = 0.054). Rank sum test showed that the abundance of 32 species significantly differed among the 3 groups (P < 0.05). Among them, high relative abundance was observed in the class Bacilli enriched in the PV group, as well as the genera Micrococcus and Brevundimonas enriched in the normal control group. According to the disease duration, the patients with PV were divided into long-course PV group with disease duration of ≥ 3 months, and short-course PV group with disease duration of < 3 months. Clostridiales, Oscillibacter, Sphingomonas were enriched in the long-course PV group, and Gammaproteobacteria was enriched in the short-course PV group. Gene function prediction analysis showed that the genes related to infectious diseases were enriched in the pemphigus group. Conclusion The 16S rDNA-based microbiota profiling suggested differences in the diversity and composition of skin microbiota between patients with PV and healthy individuals.

Key words: Pemphigus, Staphylococcus, Skin flora, Microbiome, 16S rDNA sequencing, Function prediction