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Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease
BACKGROUND: Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD), but the mechanism between DKD and ESRD remains unclear. Some experts have put forward the “microbial-centered ESRD development theory”, believing that the bacterial load caused by gut microecologica...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358493/ https://www.ncbi.nlm.nih.gov/pubmed/35957707 http://dx.doi.org/10.21037/atm-22-2926 |
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author | Chen, Rongping Zhu, Dan Yang, Rui Wu, Zezhen Xu, Ningning Chen, Fengwu Zhang, Shuo Chen, Hong Li, Ming Hou, Kaijian |
author_facet | Chen, Rongping Zhu, Dan Yang, Rui Wu, Zezhen Xu, Ningning Chen, Fengwu Zhang, Shuo Chen, Hong Li, Ming Hou, Kaijian |
author_sort | Chen, Rongping |
collection | PubMed |
description | BACKGROUND: Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD), but the mechanism between DKD and ESRD remains unclear. Some experts have put forward the “microbial-centered ESRD development theory”, believing that the bacterial load caused by gut microecological imbalance and uremia toxin transfer are the core pathogenic links. The purpose of this study was to analyze the genomic characteristics of gut microbiota in patients with ESRD, specifically DKD or non-diabetic kidney disease (NDKD). METHODS: In this cross-sectional study, patients with ESRD were recruited in a community, including 22 DKD patients and 22 NDKD patients matched using gender and age. Fecal samples of patients were collected for 16S rDNA sequencing and gut microbiota analysis. The distribution structure, diversity, and abundance of microflora in DKD patients were analyzed by constructing species evolutionary trees and analyzing alpha diversity, beta diversity, and linear discriminant analysis effect size (LEfSe). RESULTS: The results of our study showed that there were statistically significant differences in the richness and species of gut microbiota at the total level between DKD patients and NDKD patients. The analysis of genus level between the two groups showed significant differences in 16 bacterial genera. Among them, Oscillibacter, Bilophila, UBA1819, Ruminococcaceae UCG-004, Anaerotruncus, Ruminococcaceae, and Ruminococcaceae NK4A214 bacteria in DKD patients were higher than those in NDKD patients. CONCLUSIONS: 16S rDNA sequencing technology was used in this study to analyze the characteristics of intestinal flora in ESRD patients with or without diabetes. We found that there was a significant difference in the intestinal flora of ESRD patients caused by DKD and NDKD, suggesting that these may be potential causative bacteria for the development of ERSD in DKD patients. |
format | Online Article Text |
id | pubmed-9358493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-93584932022-08-10 Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease Chen, Rongping Zhu, Dan Yang, Rui Wu, Zezhen Xu, Ningning Chen, Fengwu Zhang, Shuo Chen, Hong Li, Ming Hou, Kaijian Ann Transl Med Original Article BACKGROUND: Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD), but the mechanism between DKD and ESRD remains unclear. Some experts have put forward the “microbial-centered ESRD development theory”, believing that the bacterial load caused by gut microecological imbalance and uremia toxin transfer are the core pathogenic links. The purpose of this study was to analyze the genomic characteristics of gut microbiota in patients with ESRD, specifically DKD or non-diabetic kidney disease (NDKD). METHODS: In this cross-sectional study, patients with ESRD were recruited in a community, including 22 DKD patients and 22 NDKD patients matched using gender and age. Fecal samples of patients were collected for 16S rDNA sequencing and gut microbiota analysis. The distribution structure, diversity, and abundance of microflora in DKD patients were analyzed by constructing species evolutionary trees and analyzing alpha diversity, beta diversity, and linear discriminant analysis effect size (LEfSe). RESULTS: The results of our study showed that there were statistically significant differences in the richness and species of gut microbiota at the total level between DKD patients and NDKD patients. The analysis of genus level between the two groups showed significant differences in 16 bacterial genera. Among them, Oscillibacter, Bilophila, UBA1819, Ruminococcaceae UCG-004, Anaerotruncus, Ruminococcaceae, and Ruminococcaceae NK4A214 bacteria in DKD patients were higher than those in NDKD patients. CONCLUSIONS: 16S rDNA sequencing technology was used in this study to analyze the characteristics of intestinal flora in ESRD patients with or without diabetes. We found that there was a significant difference in the intestinal flora of ESRD patients caused by DKD and NDKD, suggesting that these may be potential causative bacteria for the development of ERSD in DKD patients. AME Publishing Company 2022-07 /pmc/articles/PMC9358493/ /pubmed/35957707 http://dx.doi.org/10.21037/atm-22-2926 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Chen, Rongping Zhu, Dan Yang, Rui Wu, Zezhen Xu, Ningning Chen, Fengwu Zhang, Shuo Chen, Hong Li, Ming Hou, Kaijian Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title | Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title_full | Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title_fullStr | Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title_full_unstemmed | Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title_short | Gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
title_sort | gut microbiota diversity in middle-aged and elderly patients with end-stage diabetic kidney disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358493/ https://www.ncbi.nlm.nih.gov/pubmed/35957707 http://dx.doi.org/10.21037/atm-22-2926 |
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