Changes in gut microbial community upon chronic kidney disease

• Published in: PloS one Vol. 18; no. 3; p. e0283389
• Main Authors: Liu, Wu, Huang, Jiaqi, Liu, Tong, Hu, Yutian, Shi, Kaifeng, Zhou, Yi, Zhang, Ning
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.03.2023; Public Library of Science (PLoS)
• Subjects: Animals; Bacteria; Bioinformatics; Biology and Life Sciences; Care and treatment; Chronic kidney failure; Composition; Development and progression; Energy absorption; Enzymes; Gastrointestinal Microbiome; Health aspects; Homeostasis; Inflammation; Intestinal microflora; Kidney - metabolism; Kidney diseases; Kidneys; Lipid Metabolism; Lipids; Medicine and Health Sciences; Metabolic diseases; Metabolic disorders; Metabolic pathways; Metabolic syndrome; Metabolism; Metabolites; Metabolomics; Microbiota; Microbiota (Symbiotic organisms); Microorganisms; Molecular targeted therapy; Mortality; Nitrogen; Patient outcomes; Potassium; Prebiotics; Prevention; Probiotics; Renal Insufficiency, Chronic - metabolism; Risk factors; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0283389

With the increasing incidence and mortality of chronic kidney disease (CKD), targeted therapies for CKD have been explored constantly. The important role of gut microbiota on CKD has been emphasized increasingly, it is necessary to analyze the metabolic mechanism of CKD patients from the perspective of gut microbiota. In this study, bioinformatics was used to analyze the changes of gut microbiota between CKD and healthy control (HC) groups using 315 samples from NCBI database. Diversity analysis showed significant changes in evenness compared to the HC group. PCoA analysis revealed significant differences between the two groups at phylum level. In addition, the F/B ratio was higher in CKD group than in HC group, suggesting the disorder of gut microbiota, imbalance of energy absorption and the occurrence of metabolic syndrome in CKD group. The study found that compared with HC group, the abundance of bacteria associated with impaired kidney was increased in CKD group, such as Ralstonia and Porphyromonas, which were negatively associated with eGFR. PICRUSt2 was used to predict related functions and found that different pathways between the two groups were mainly related to metabolism, involving the metabolism of exogenous and endogenous substances, as well as Glycerophospholipid metabolism, which provided evidence for exploring the relationship between gut microbiota and lipid metabolism. Therefore, in subsequent studies, special attention should be paid to these bacteria and metabolic pathway, and animal experiments and metabolomics studies should be conducted explore the association between bacterial community and CKD, as well as the therapeutic effects of these microbial populations on CKD.