Division of Gastroenterology and Hepatology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Office of Research Academic and Innovation, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Biomed Res Int. 2018 Jan 16;2018:9340316. doi: 10.1155/2018/9340316. eCollection 2018.
Nonalcoholic steatohepatitis (NASH) can progress to advanced fibrosis; the link between intestinal bacterial overgrowth and NASH has been proposed. Gut microbiota may promote inflammation and provoke disease progression. We evaluated gut microbiota pattern in NASH and its influencing factors.
A case-controlled study with sixteen NASH and eight control subjects was done. We performed DNA extraction from stool samples and bacterial 16S rRNA sequencing using MiSeq™. The sequences were clustered into operational taxonomic units using Quantitative Insights Into Microbial Ecology software. We calculated relative abundances, determined alpha diversity, obtained beta diversity by principal coordinate analysis, and conducted the partial least-squares regression model.
The relative abundance of Bacteroidetes tended to be higher in NASH group. The Bacteroidetes/Firmicutes (B/F) ratio was significantly elevated in NASH patients. The pattern of gut microbiota in NASH was clearly separated from that of control subjects. Factors influencing the separation of NASH from control subjects were age, diabetes, body mass index, Bacteroidetes phylum, metformin, Actinobacteria, Verrucomicrobia, Thermotogae, and and Bacteroidetes/Firmicutes ratio.
Bacteroidetes phylum ( and genus) is abundant in NASH subjects, who exhibited an elevated B/F ratio. NASH patients showed a specific pattern of gut microbiota independent of diabetes or metformin use.
非酒精性脂肪性肝炎(NASH)可进展为肝纤维化;有人提出,肠道细菌过度生长与 NASH 之间存在关联。肠道微生物群可能会促进炎症并引发疾病进展。我们评估了 NASH 患者的肠道微生物群模式及其影响因素。
进行了一项十六例 NASH 患者和八例对照者的病例对照研究。我们从粪便样本中提取 DNA,并使用 MiSeq™进行细菌 16S rRNA 测序。使用 Quantitative Insights Into Microbial Ecology 软件将序列聚类为操作分类单元。我们计算了相对丰度,确定了 alpha 多样性,通过主坐标分析获得了 beta 多样性,并进行了偏最小二乘回归模型分析。
NASH 组中拟杆菌门的相对丰度趋于较高。NASH 患者的拟杆菌门/厚壁菌门(B/F)比值显著升高。NASH 患者的肠道微生物群模式明显与对照组分离。影响 NASH 与对照组分离的因素包括年龄、糖尿病、体重指数、拟杆菌门、二甲双胍、放线菌门、疣微菌门、热脱硫杆菌门和 B/F 比值。
NASH 患者拟杆菌门( 和 属)丰富,B/F 比值升高。NASH 患者的肠道微生物群模式独立于糖尿病或二甲双胍的使用而存在特异性。