Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma.

Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma.
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深度测序揭示肝癌患者舌苔微生物群失调

DOI:
10.1038/srep33142
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发表时间:
2016-09-08
期刊:
影响因子:
4.6
通讯作者:
Li L
Li L
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lu H;Ren Z;Li A;Zhang H;Jiang J;Xu S;Luo Q;Zhou K;Sun X;Zheng S;Li L

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肝癌是世界范围内常见的恶性肿瘤,具有较高的发病率和死亡率。研究舌苔微生物谱特征可为LC患者提供有价值的认识和潜在的诊断指标。在此,我们首次基于16S核糖体RNA(RRNA)基因测序对LC患者的舌苔微生物组进行了研究。经过严格的纳入和排除标准,纳入35例早期肝硬变患者和25例匹配的健康受试者。Shannon指数、Simpson指数和Chao-1指数显示LC患者舌苔微生物多样性显著增加。主成分分析表明,舌苔上的微生物群对LC患者和健康人有显著的区分作用。舌苔微生物图谱代表了38个可操作的分类单位,归类于23个不同的属,区分LC患者。线性判别分析(LDA)效应大小(LFSE)显示LC患者舌苔存在明显的微生物失调。东方菌和梭菌能很好地区分LC患者和健康人。Lefse结果显示了与LC患者和健康人之间镍/铁转运、氨基酸转运、能量产生系统和代谢有关的微生物基因功能。首次发现LC患者舌苔微生物区系失调,可能为LC提供新的、无创的潜在诊断生物标志物。
Liver carcinoma (LC) is a common malignancy worldwide, associated with high morbidity and mortality. Characterizing microbiome profiles of tongue coat may provide useful insights and potential diagnostic marker for LC patients. Herein, we are the first time to investigate tongue coat microbiome of LC patients with cirrhosis based on 16S ribosomal RNA (rRNA) gene sequencing. After strict inclusion and exclusion criteria, 35 early LC patients with cirrhosis and 25 matched healthy subjects were enrolled. Microbiome diversity of tongue coat in LC patients was significantly increased shown by Shannon, Simpson and Chao 1 indexes. Microbiome on tongue coat was significantly distinguished LC patients from healthy subjects by principal component analysis. Tongue coat microbial profiles represented 38 operational taxonomic units assigned to 23 different genera, distinguishing LC patients. Linear discriminant analysis (LDA) effect size (LEfSe) reveals significant microbial dysbiosis of tongue coats in LC patients. Strikingly,OribacteriumandFusobacteriumcould distinguish LC patients from healthy subjects. LEfSe outputs show microbial gene functions related to categories of nickel/iron_transport, amino_acid_transport, energy produced system and metabolism between LC patients and healthy subjects. These findings firstly identify microbiota dysbiosis of tongue coat in LC patients, may providing novel and non-invasive potential diagnostic biomarker of LC.
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