Bai Yun, Wang Yinjuan, Zheng Huajun, Tan Fei, Yuan Chao
Central Laboratory, The Shanghai Skin Disease Hospital of Tongji Medical University, Shanghai 200433, People's Republic of China.
Symrise (Shanghai) Co., Ltd, Shanghai 201206, People's Republic of China.
Infect Drug Resist. 2021 Jan 22;14:219-226. doi: 10.2147/IDR.S287844. eCollection 2021.
The association of microbiota changes with sensitive skin remains controversial until now. Although a strong correlation is detected between skin microbiota distribution and biophysical parameters, there is little knowledge on the link between sensitive skin and skin microbiota in Chinese women. This study aimed to unravel the correlation between facial skin microbiota distribution and skin barriers in Chinese women with sensitive skin.
In total, 34 volunteers were enrolled, including 24 subjects with sensitive skin (SS group) and 10 subjects with non-sensitive skin (NS group). The cuticle moisture content, transepidermal water loss (TEWL), and facial skin sebum secretion were measured, and the facial skin surface morphology was evaluated. Sensitive skin samples were collected from the facial (SS-F group) and chest skin of subjects in the SS group (SS-C group), while non-sensitive skin samples were collected from the facial skin of subjects in the NS group (NS-F group). All skin samples were subjected to sequencing.
sequencing detected Actinobacteria, Firmicutes, and Proteobacteria as the three most common microbiota phyla and , , and as the three most common microbiota genera, and there were no significant differences in the relative frequency of Actinobacteria, Firmicutes, or Proteobacteria, or , , or among the SS-F, SS-C, and NS-F groups (>0.05). We detected no significant difference in the diversity of bacterial communities among the SS-F, SS-C, and NS-F groups; however, the Shannon's diversity index was significantly higher in the NS-F group than in the SS-C group. In addition, Spearman correlation analysis showed a correlation between the microbiota genera and skin physiological parameters (<0.05).
This study preliminarily unravels the skin microbiota of sensitive skin using a high-throughput tool, and there are no microbiota genera with strong associations with skin physiological parameters.
迄今为止，微生物群变化与敏感性皮肤之间的关联仍存在争议。尽管已检测到皮肤微生物群分布与生物物理参数之间存在强相关性，但关于中国女性敏感性皮肤与皮肤微生物群之间的联系却知之甚少。本研究旨在揭示中国敏感性皮肤女性面部皮肤微生物群分布与皮肤屏障之间的相关性。
共招募34名志愿者，其中包括24名敏感性皮肤受试者（SS组）和10名非敏感性皮肤受试者（NS组）。测量角质层水分含量、经表皮水分流失（TEWL）和面部皮肤皮脂分泌情况，并对面部皮肤表面形态进行评估。从SS组受试者的面部（SS-F组）和胸部皮肤（SS-C组）采集敏感性皮肤样本，而从NS组受试者的面部皮肤采集非敏感性皮肤样本（NS-F组）。对所有皮肤样本进行测序。
测序检测到放线菌门、厚壁菌门和变形菌门为三种最常见的微生物门类，以及[具体菌属1]、[具体菌属2]和[具体菌属3]为三种最常见的微生物属，并且在SS-F组、SS-C组和NS-F组之间，放线菌门、厚壁菌门或变形菌门，以及[具体菌属1]、[具体菌属2]或[具体菌属3]的相对频率无显著差异（P>0.05）。我们检测到SS-F组、SS-C组和NS-F组之间细菌群落多样性无显著差异；然而，NS-F组的香农多样性指数显著高于SS-C组。此外，斯皮尔曼相关性分析显示微生物属与皮肤生理参数之间存在相关性（P<0.05）。
本研究使用高通量工具初步揭示了敏感性皮肤的皮肤微生物群，并且不存在与皮肤生理参数有强关联的微生物属。
