Gut microbiome signatures distinguish type 2 diabetes mellitus from non-alcoholic fatty liver disease.

Autor:	Si J; Medical Science Research Institute, School of Medicine, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea., Lee G; Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea., You HJ; Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.; Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea., Joo SK; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul 07061, Republic of Korea., Lee DH; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul 07061, Republic of Korea., Ku BJ; Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon 35015, Republic of Korea., Park S; Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea., Kim W; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul 07061, Republic of Korea., Ko G; Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.; Center for Human and Environmental Microbiome, Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea.; KoBioLabs, Inc., Seoul 08826, Republic of Korea.; Bio-MAX/N-Bio, Seoul National University, Seoul 08826, Republic of Korea.
Jazyk:	angličtina
Zdroj:	Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2021 Oct 28; Vol. 19, pp. 5920-5930. Date of Electronic Publication: 2021 Oct 28 (Print Publication: 2021).
DOI:	10.1016/j.csbj.2021.10.032
Abstrakt:	Non-alcoholic fatty liver disease (NAFLD) is closely associated with type 2 diabetes mellitus (T2D), and these two metabolic diseases demonstrate bidirectional influences. The identification of microbiome profiles that are specific to liver injury or impaired glucose metabolism may assist understanding of the role of the gut microbiota in the relationship between NAFLD and T2D. Here, we studied a biopsy-proven Asian NAFLD cohort (n = 329; 187 participants with NAFLD, 101 with NAFLD and T2D, and 41 with neither) and identified Enterobacter , Romboutsia , and Clostridium sensu stricto as the principal taxa associated with the severity of NAFLD and T2D, whereas Ruminococcus and Megamonas were specific to NAFLD. In particular, the taxa that were associated with both severe liver pathology and T2D were also significantly associated with markers of diabetes, such as fasting blood glucose and Hb1Ac. Enterotype analysis demonstrated that participants with NAFLD had a significantly higher proportion of Bacteroides and a lower proportion of Ruminococcus than a Korean healthy twin cohort (n = 756). However, T2D could not be clearly distinguished from NAFLD. Analysis of an independent T2D cohort (n = 185) permitted us to validate the T2D-specific bacterial signature identified in the NAFLD cohort. Functional inference analysis revealed that endotoxin biosynthesis pathways were significantly enriched in participants with NAFLD and T2D, compared with those with NAFLD alone. These findings may assist with the development of effective therapeutic approaches for metabolic diseases that are associated with specific bacterial signatures. Competing Interests: GK is a founder of KoBioLabs, Inc., a company that aims to characterize the role of host–microbiome interactions in chronic diseases. The other authors declare no competing interests. (© 2021 The Authors.)
Databáze:	MEDLINE
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