The Association of Gut Microbiota with Nonalcoholic Steatohepatitis in Thais

• Published in: BioMed research international Vol. 2018; no. 2018; pp. 1 - 8
• Main Authors: Ongphiphadhanakul, Boonsong, Promson, Kwannapa, Kaewduang, Piyaporn, Pongrujikorn, Tanjitti, Chanprasertyothin, Suwannee, Sobhonslidsuk, Abhasnee, Petraksa, Supanna
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc
• Subjects: Adult; Alcohol; Analysis; Bacteria - genetics; Bacteroidetes; Bacteroidetes - genetics; Biodiversity; Biological diversity; Biomedical research; Body mass; Body Mass Index; Body size; Case-Control Studies; Control methods; Deoxyribonucleic acid; Development and progression; Diabetes; Diabetes mellitus; Digestive system; DNA; DNA sequencing; Enterobacteriaceae; Ethanol; Feces; Feces - microbiology; Female; Fibrosis; Firmicutes - genetics; Gastrointestinal Microbiome - genetics; Gastrointestinal tract; Gastrointestinal Tract - microbiology; Hepatitis; Hospitals; Humans; Hypertension; Intestinal microflora; Intestine; Laboratories; Liver cancer; Liver diseases; Male; Mathematical analysis; Metabolism; Metformin; Microbiota; Microbiota (Symbiotic organisms); Microorganisms; Middle Aged; Non-alcoholic Fatty Liver Disease - microbiology; Nutrition; Obesity; Patients; Regression analysis; Regression models; Relative abundance; RNA; RNA, Ribosomal, 16S - genetics; Rodents; rRNA 16S; Software development; Studies; Type 2 diabetes; VOCs; Volatile organic compounds; Weight control; Thailand; United States > US
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2018/9340316

Objectives. 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. Methods. 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. Results. 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 Caldithrix and Bacteroidetes/Firmicutes ratio. Conclusions. Bacteroidetes phylum (Bacteroides and Prevotella 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.