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Altered gut microbiota and microbial biomarkers associated with chronic kidney disease
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 mic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460263/ https://www.ncbi.nlm.nih.gov/pubmed/30088332 http://dx.doi.org/10.1002/mbo3.678 |
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author | Lun, Hengzhong Yang, Weihua Zhao, Shuping Jiang, Meijie Xu, Mingjie Liu, Fenfen Wang, Yunshan |
author_facet | Lun, Hengzhong Yang, Weihua Zhao, Shuping Jiang, Meijie Xu, Mingjie Liu, Fenfen Wang, Yunshan |
author_sort | Lun, Hengzhong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6460263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64602632019-04-22 Altered gut microbiota and microbial biomarkers associated with chronic kidney disease Lun, Hengzhong Yang, Weihua Zhao, Shuping Jiang, Meijie Xu, Mingjie Liu, Fenfen Wang, Yunshan Microbiologyopen Original Articles 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. John Wiley and Sons Inc. 2018-08-07 /pmc/articles/PMC6460263/ /pubmed/30088332 http://dx.doi.org/10.1002/mbo3.678 Text en © 2018 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Lun, Hengzhong Yang, Weihua Zhao, Shuping Jiang, Meijie Xu, Mingjie Liu, Fenfen Wang, Yunshan Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title | Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title_full | Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title_fullStr | Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title_full_unstemmed | Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title_short | Altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
title_sort | altered gut microbiota and microbial biomarkers associated with chronic kidney disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460263/ https://www.ncbi.nlm.nih.gov/pubmed/30088332 http://dx.doi.org/10.1002/mbo3.678 |
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