Fecal-associated microbiome differences between traditional Chinese medicine qi-deficiency and balanced constitutions

Fecal-associated microbiome differences between traditional Chinese medicine qi-deficiency and balanced constitutions
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中医气虚体质与平衡体质粪便相关微生物组的差异

DOI:
10.1016/j.jtcms.2020.03.002
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发表时间:
2020-04
影响因子:
--
通讯作者:
Anlong Xu
Anlong Xu
中科院分区:
--
文献类型:
--
作者:
Jianhua Zhen;Pengfei Zhao;Guangrui Huang;Yini Li;Lu Zhao;Yuhang Zhang;Anlong Xu

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目的通过与平衡体质(BC)的比较,探讨中医气虚体质(QDC)的粪便相关微生物组(FAM)的结构和功能特点,并筛选相关的生物标志物。方法根据已发表的《中医体质分类与测定》确定受试者的中医体质,并经中医临床医师进一步证实。记录临床特征,并收集粪便样本,使用Illumina MiSeq平台进行16S rDNA测序。用α-多样性指数、β-多样性指数和优势类群的相对丰度来描述FAM的结构。用Wilcoxon秩和检验、MetagenomeSeq和Lefse分析比较FAM分布和功能的差异,构建基于特定操作分类单元(OTUS)的接收者操作特征曲线,计算曲线下面积。除偏爱甜食和血糖水平外,两组在临床特征或α-多样性指数的分布上没有显著差异。在主坐标分析和偏最小二乘判别分析中,BC组和QDC组样品中的细菌群落分别聚为一类。值得注意的是,MetagenomeSeq分析中有214个OTU显著分布在不同组之间,Wilcoxon秩和检验确定了200个OTU,Lefse分析发现了6个OTU。预测功能分析显示,6条代谢途径明显分布于两组之间。基于4种特异性OTU的受试者工作特征曲线的曲线下面积为0.88。结论QDC患者具有独特的FAM结构和相关功能特征,4种特异性OTU可作为QDC的生物标志物辅助临床诊断。
ObjectiveTo explore the structural and functional characteristics of the fecal-associated microbiome (FAM) in a traditional Chinese medicine (TCM) qi-deficiency constitution (QDC) by comparing with balanced constitution (BC) and screen the related biomarkers.MethodsIn this cross-sectional study, the TCM constitutions of subjects were determined based on published theClassification and Determination of constitution in TCMand further confirmed by a TCM clinician. Clinical characteristics were recorded, and fecal samples were collected for 16S rDNA sequencing using the Illumina Miseq platform. The FAM structure was described using alpha-diversity indexes, beta-diversity indexes, and the relative abundances of the dominant taxa. Differences in the FAM distribution and function were analyzed with a Wilcoxon rank-sum test, MetagenomeSeq, and LEfSe analysis, after which a receiver operating characteristic curve based on the specific operational taxonomic units (OTUs) was constructed to calculate the area under the curve.ResultsOur study population was composed of 22 BCs and 9 QDCs. There were no significant differences between the two groups in the distribution of clinical characteristics or alpha-diversity indexes, except for the sweets preference and blood glucose level. In principal coordinate analysis and partial least squares discriminant analysis, the bacterial communities in the BC group samples and QDC group samples clustered separately. Notably, there were 214 OTUs significantly distributed between groups in the MetagenomeSeq analysis, 200 OTUs identified by the Wilcoxon rank-sum test, and 6 OTUs found by the LEfSe analysis. Predicted function analysis revealed that six metabolic pathways were distinctly distributed between the two groups. The area under the curve for the receiver operating characteristic curve based on the four specific OTUs was 0.88.ConclusionUnique FAM structural and related functional characteristics are displayed in individuals with a QDC, and four specific OTUs could be used as QDC biomarkers to assist in clinical diagnosis.
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