Prediction of functional profiles of gut microbiota from 16S rRNA metagenomic data provides a more robust evaluation of gut dysbiosis occurring in Japanese type 2 diabetic patients.
Prediction of functional profiles of gut microbiota from 16S rRNA metagenomic data provides a more robust evaluation of gut dysbiosis occurring in Japanese type 2 diabetic patients.
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DOI：
10.3164/jcbn.17-44
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发表时间：
2017-11
影响因子：
2.4
通讯作者：
Satoh-Asahara N
中科院分区：
文献类型：
--
作者：
Inoue R;Ohue-Kitano R;Tsukahara T;Tanaka M;Masuda S;Inoue T;Yamakage H;Kusakabe T;Hasegawa K;Shimatsu A;Satoh-Asahara N
我们评估了16S rRNA宏基因组学预测的肠道微生物功能谱在日本2型糖尿病患者中是否存在差异。在一项观察性研究中，我们从门诊共招募了22名日本受试者。12名对照组和10名2型糖尿病患者的粪便样本。生成16S rRNA宏基因组数据，并使用“通过重建未观察状态进行群落系统发育调查”软件预测功能谱。我们测量了葡萄糖代谢、肠道细菌分类和功能特征的参数，并以横断面方式检查了它们之间的关联。288条《京都基因与基因组百科全书》通路中，糖尿病患者有11条与对照组相比显著富集（p<0.05, q<0.1）。几乎所有途径的相对丰度，包括胰岛素信号通路和糖酵解/糖异生，都与血红蛋白A1c （HbA1c）和空腹血糖（FPG）水平呈强正相关。细菌分类学分析显示，Blautia属与各组间差异显著，且与HbA1c和FPG水平呈负相关。我们的研究结果表明，肠道微生物群落与糖尿病之间存在一种新的病理生理关系，进一步强调了将功能谱预测与有序细菌分类分析相结合的重要性和实用性（UMIN临床试验注册号：UMIN000026592）。
We assessed whether gut microbial functional profiles predicted from 16S rRNA metagenomics differed in Japanese type 2 diabetic patients. A total of 22 Japanese subjects were recruited from our outpatient clinic in an observational study. Fecal samples were obtained from 12 control and 10 type 2 diabetic subjects. 16S rRNA metagenomic data were generated and functional profiles predicted using “Phylogenetic Investigation of Communities by Reconstruction of Unobserved States” software. We measured the parameters of glucose metabolism, gut bacterial taxonomy and functional profile, and examined the associations in a cross-sectional manner. Eleven of 288 “Kyoto Encyclopedia of Genes and Genomes” pathways were significantly enriched in diabetic patients compared with control subjects (p<0.05, q<0.1). The relative abundance of almost all pathways, including the Insulin signaling pathway and Glycolysis/Gluconeogenesis, showed strong, positive correlations with hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) levels. Bacterial taxonomic analysis showed that genus Blautia significantly differed between groups and had negative correlations with HbA1c and FPG levels. Our findings suggest a novel pathophysiological relationship between gut microbial communities and diabetes, further highlighting the significance and utility of combining prediction of functional profiles with ordinal bacterial taxonomic analysis (UMIN Clinical Trails Registry number: UMIN000026592).