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成人不同舌苔的微生物学特征。

Microbiological characteristics of different tongue coatings in adults.

机构信息

Department of Geriatrics, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Key Laboratory of Diagnosis and Treatment of Aging and Physic-Chemical Injury Diseases of Zhejiang Province, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

出版信息

BMC Microbiol. 2022 Sep 9;22(1):214. doi: 10.1186/s12866-022-02626-7.

Abstract

BACKGROUND

Tongue coating is an important health indicator in traditional Chinese medicine (TCM). The tongue coating microbiome can distinguish disease patients from healthy controls. To study the relationship between different types of tongue coatings and health, we analyzed the species composition of different types of tongue coatings and the co-occurrence relationships between microorganisms in Chinese adults. From June 2019 to October 2020, 158 adults from Hangzhou and Shaoxing City, Zhejiang Province, were enrolled. We classified the TCM tongue coatings into four different types: thin white tongue fur (TWF), thin yellow tongue fur (TYF), white greasy tongue fur (WGF), and yellow greasy tongue fur (YGF). Tongue coating specimens were collected and used for 16S rRNA gene sequencing using the Illumina MiSeq system. Wilcoxon rank-sum and permutational multivariate analysis of variance tests were used to analyze the data. The microbial networks in the four types of tongue coatings were inferred independently using sparse inverse covariance estimation for ecological association inference.

RESULTS

The microbial composition was similar among the different tongue coatings; however, the abundance of microorganisms differed. TWF had a higher abundance of Fusobacterium periodonticum and Neisseria mucosa, the highest α-diversity, and a highly connected community (average degree = 3.59, average closeness centrality = 0.33). TYF had the lowest α-diversity, but the most species in the co-occurrence network diagram (number of nodes = 88). The platelet-to-lymphocyte ratio (PLR) was associated with tongue coating (P = 0.035), and the YGF and TYF groups had higher PLR values. In the co-occurrence network, Aggregatibacter segnis was the "driver species" of the TWF and TYF groups and correlated with C-reactive protein (P < 0.05). Streptococcus anginosus was the "driver species" in the YGF and TWF groups and was positively correlated with body mass index and weight (P < 0.05).

CONCLUSION

Different tongue coatings have similar microbial compositions but different abundances of certain bacteria. The co-occurrence of microorganisms in the different tongue coatings also varies. The significance of different tongue coatings in TCM theory is consistent with the characteristics and roles of the corresponding tongue-coating microbes. This further supports considering tongue coating as a risk factor for disease.

摘要

背景

舌象是中医(TCM)的重要健康指标。舌象微生物组可以区分疾病患者和健康对照者。为了研究不同类型的舌象与健康之间的关系,我们分析了中国成年人不同类型舌象的物种组成和微生物之间的共生关系。

从 2019 年 6 月至 2020 年 10 月,共招募了来自浙江省杭州市和绍兴市的 158 名成年人。我们将 TCM 舌象分为四种不同类型:薄白苔(TWF)、薄黄苔(TYF)、白腻苔(WGF)和黄腻苔(YGF)。采集舌象标本,采用 Illumina MiSeq 系统进行 16S rRNA 基因测序。采用 Wilcoxon 秩和检验和置换多元方差分析检验对数据进行分析。采用稀疏逆协方差估计法独立推断四种舌象类型的微生物网络。

结果

不同舌象的微生物组成相似,但微生物丰度不同。TWF 中 Fusobacterium periodonticum 和 Neisseria mucosa 的丰度较高,α多样性最高,群落连接度较高(平均度=3.59,平均接近中心度=0.33)。TYF 的 α 多样性最低,但共生网络图中的物种最多(节点数=88)。血小板与淋巴细胞比值(PLR)与舌象有关(P=0.035),YGF 和 TYF 组的 PLR 值较高。在共生网络中,Aggregatibacter segnis 是 TWF 和 TYF 组的“驱动物种”,与 C 反应蛋白呈正相关(P<0.05)。Streptococcus anginosus 是 YGF 和 TWF 组的“驱动物种”,与体重指数和体重呈正相关(P<0.05)。

结论

不同的舌象具有相似的微生物组成,但某些细菌的丰度不同。不同舌象的微生物共生关系也不同。TCM 理论中不同舌象的意义与相应舌象微生物的特征和作用一致。这进一步支持将舌象视为疾病的风险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0df/9461261/e6c8a44882ef/12866_2022_2626_Fig1_HTML.jpg

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