Altered gut microbiota and microbial biomarkers associated with chronic kidney disease

• Published in: MicrobiologyOpen (Weinheim) 2019-04, Vol.8 (4), p.e00678-n/a
• Main Authors: Lun, Hengzhong, Yang, Weihua, Zhao, Shuping, Jiang, Meijie, Xu, Mingjie, Liu, Fenfen, Wang, Yunshan
• Format: Article
• Language: English
• Subjects: Adult; Aged; Asthma; Bacteria; Bacteria - classification; Bacteria - genetics; Bacteria - isolation & purification; Biodiversity; Biomarkers; Biomarkers - analysis; Case-Control Studies; chronic kidney disease; Diabetes; Discriminant analysis; Disease control; Feces; Feces - microbiology; Female; Gastrointestinal Microbiome; Gene sequencing; gut microbiota; Health care; Hemodialysis; Humans; intestinal dysbiosis; Intestinal microflora; Kidney diseases; Kidneys; Male; microbial biomarker; Microbiota; Microorganisms; Middle Aged; Original; Populations; Principal components analysis; Renal Insufficiency, Chronic - microbiology; rRNA 16S; Statistical analysis; Studies; Taxonomy; Thermal cycling
• ISSN: 2045-8827; 2045-8827
• DOI: 10.1002/mbo3.678

The present study aimed to determine the differences in gut microbiota between patients with chronic kidney disease (CKD) and healthy controls (HC) and search for better microbial biomarkers associated with CKD. The 16S rRNA gene sequencing approach was used to investigate the differences in gut microbiota between the CKD and HC groups. The study found that 12 phylotypes were overrepresented in the CKD group and 19 in the HC group at the genus level. Furthermore, genera Lachnospira and Ruminococcus_gnavus performed the best in differentiating between HC and CKD populations. In addition, this novel study found that the genera Holdemanella, Megamonas, Prevotella 2, Dielma, and Scardovia were associated with the progression of CKD and hemodialysis. In conclusion, the composition of gut microbiota was different in CKD populations compared with healthy populations, and Lachnospira and R._gnavus were better microbial biomarkers. In addition, five phylotypes, including Holdemanella, Megamonas, Prevotella2, Dielma, and Scardovia, served as an indicator of the progression of CKD and hemodialysis. However, large‐scale prospective studies should be performed to identify the reliability of the set of these phylotypes as biomarkers. This study used 16S rRNA gene sequencing approach to investigate the differences in gut microbiota between CKD and HC and explore the ability of the gut microbiome to differentiate between HC and CKD and find five microbial species associated with the progression of CKD and hemodialysis.