The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy
Background Diabetic kidney disease (DKD) and membranous nephropathy (MN) are the two major causes of end-stage renal disease (ESRD). Increasing evidence has shown that intestinal dysbiosis is associated with many diseases. The aim of this study was to explore the composition of the gut microbiome in...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Renal Failure |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/0886022X.2020.1837869 |
| _version_ | 1818864279461298176 |
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| author | Wei Yu Jin Shang Ruixue Guo Fanliang Zhang Weifeng Zhang Yiding Zhang Feng Wu Hongyan Ren Chao Liu Jing Xiao Zhanzheng Zhao |
| author_facet | Wei Yu Jin Shang Ruixue Guo Fanliang Zhang Weifeng Zhang Yiding Zhang Feng Wu Hongyan Ren Chao Liu Jing Xiao Zhanzheng Zhao |
| author_sort | Wei Yu |
| collection | DOAJ |
| description | Background Diabetic kidney disease (DKD) and membranous nephropathy (MN) are the two major causes of end-stage renal disease (ESRD). Increasing evidence has shown that intestinal dysbiosis is associated with many diseases. The aim of this study was to explore the composition of the gut microbiome in DKD and MN patients. Methods 16S rRNA gene sequencing was performed on 271 fecal samples (DKD = 129 and MN = 142), and taxonomic annotation of microbial composition and function was completed. Results We observed distinct microbial communities between the two groups, with MN samples exhibiting more severe dysbiosis than DKD samples. Relative increases in genera producing short-chain fatty acids (SCFAs) in DKD and a higher proportion of potential pathogens in MN were the main contributors to the microbiome alterations in the two groups. Five-fold cross-validation was performed on a random forest model, and four operational taxonomic unit (OTU)-based microbial markers were selected to distinguish DKD from MN. The results showed 92.42% accuracy in the training set and 94.52% accuracy in the testing set, indicating high potential for these microbiome-based markers in separating MN from DKD. Overexpression of several amino acid metabolic pathways, carbohydrate metabolism and lipid metabolism was found in DKD, while interconversion of pentose/glucoronate and membrane transport in relation to ABC transporters and the phosphotransferase system were increased in MN. Conclusion The composition of the gut microbiome appears to differ considerably between patients with DKD and those with MN. Thus, microbiome-based markers could be used as an alternative tool to distinguish DKD and MN. |
| first_indexed | 2024-12-19T10:29:08Z |
| format | Article |
| id | doaj.art-3c249825483a4c50bc9ef242f802752e |
| institution | Directory Open Access Journal |
| issn | 0886-022X 1525-6049 |
| language | English |
| last_indexed | 2024-12-19T10:29:08Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj.art-3c249825483a4c50bc9ef242f802752e2022-12-21T20:25:48ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492020-01-014211100111010.1080/0886022X.2020.18378691837869The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathyWei Yu0Jin Shang1Ruixue Guo2Fanliang Zhang3Weifeng Zhang4Yiding Zhang5Feng Wu6Hongyan Ren7Chao Liu8Jing Xiao9Zhanzheng Zhao10Department of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityShanghai Mobio Biomedical Technology Co, LtdShanghai Mobio Biomedical Technology Co, LtdDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou UniversityBackground Diabetic kidney disease (DKD) and membranous nephropathy (MN) are the two major causes of end-stage renal disease (ESRD). Increasing evidence has shown that intestinal dysbiosis is associated with many diseases. The aim of this study was to explore the composition of the gut microbiome in DKD and MN patients. Methods 16S rRNA gene sequencing was performed on 271 fecal samples (DKD = 129 and MN = 142), and taxonomic annotation of microbial composition and function was completed. Results We observed distinct microbial communities between the two groups, with MN samples exhibiting more severe dysbiosis than DKD samples. Relative increases in genera producing short-chain fatty acids (SCFAs) in DKD and a higher proportion of potential pathogens in MN were the main contributors to the microbiome alterations in the two groups. Five-fold cross-validation was performed on a random forest model, and four operational taxonomic unit (OTU)-based microbial markers were selected to distinguish DKD from MN. The results showed 92.42% accuracy in the training set and 94.52% accuracy in the testing set, indicating high potential for these microbiome-based markers in separating MN from DKD. Overexpression of several amino acid metabolic pathways, carbohydrate metabolism and lipid metabolism was found in DKD, while interconversion of pentose/glucoronate and membrane transport in relation to ABC transporters and the phosphotransferase system were increased in MN. Conclusion The composition of the gut microbiome appears to differ considerably between patients with DKD and those with MN. Thus, microbiome-based markers could be used as an alternative tool to distinguish DKD and MN.http://dx.doi.org/10.1080/0886022X.2020.1837869gut microbiome16s rrnadiabetic kidney diseasemembranous nephropathy |
| spellingShingle | Wei Yu Jin Shang Ruixue Guo Fanliang Zhang Weifeng Zhang Yiding Zhang Feng Wu Hongyan Ren Chao Liu Jing Xiao Zhanzheng Zhao The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy Renal Failure gut microbiome 16s rrna diabetic kidney disease membranous nephropathy |
| title | The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| title_full | The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| title_fullStr | The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| title_full_unstemmed | The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| title_short | The gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| title_sort | gut microbiome in differential diagnosis of diabetic kidney disease and membranous nephropathy |
| topic | gut microbiome 16s rrna diabetic kidney disease membranous nephropathy |
| url | http://dx.doi.org/10.1080/0886022X.2020.1837869 |
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