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Metagenomic analysis revealed the potential role of gut microbiome in gout
Emerging evidence indicates an association between gut microbiome and arthritis diseases including gout. However, how and which gut bacteria affect host urate degradation and inflammation in gout remains unclear. Here we performed a metagenome analysis on 307 fecal samples from 102 gout patients and...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352958/ https://www.ncbi.nlm.nih.gov/pubmed/34373464 http://dx.doi.org/10.1038/s41522-021-00235-2 |
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author | Chu, Yongliang Sun, Silong Huang, Yufen Gao, Qiang Xie, Xuefeng Wang, Peng Li, Junxia Liang, Lifeng He, Xiaohong Jiang, Yiqi Wang, Maojie Yang, Jianhua Chen, Xiumin Zhou, Chu Zhao, Yue Ding, Fen Zhang, Yi Wu, Xiaodong Bai, Xueyuan Wu, Jiaqi Wei, Xia Chen, Xianghong Yue, Zhen Fang, Xiaodong Huang, Qingchun Wang, Zhang Huang, Runyue |
author_facet | Chu, Yongliang Sun, Silong Huang, Yufen Gao, Qiang Xie, Xuefeng Wang, Peng Li, Junxia Liang, Lifeng He, Xiaohong Jiang, Yiqi Wang, Maojie Yang, Jianhua Chen, Xiumin Zhou, Chu Zhao, Yue Ding, Fen Zhang, Yi Wu, Xiaodong Bai, Xueyuan Wu, Jiaqi Wei, Xia Chen, Xianghong Yue, Zhen Fang, Xiaodong Huang, Qingchun Wang, Zhang Huang, Runyue |
author_sort | Chu, Yongliang |
collection | PubMed |
description | Emerging evidence indicates an association between gut microbiome and arthritis diseases including gout. However, how and which gut bacteria affect host urate degradation and inflammation in gout remains unclear. Here we performed a metagenome analysis on 307 fecal samples from 102 gout patients and 86 healthy controls. Gout metagenomes significantly differed from those of healthy controls. The relative abundances of Prevotella, Fusobacterium, and Bacteroides were increased in gout, whereas those of Enterobacteriaceae and butyrate-producing species were decreased. Functionally, gout patients had greater abundances for genes in fructose, mannose metabolism and lipid A biosynthesis, and lower for genes in urate degradation and short chain fatty acid production. A three-pronged association between metagenomic species, functions and clinical parameters revealed that decreased abundances of species in Enterobacteriaceae were associated with reduced amino acid metabolism and environmental sensing, which together contribute to increased serum uric acid and C-reactive protein levels in gout. A random forest classifier based on three gut microbial genes showed high predictivity for gout in both discovery and validation cohorts (0.91 and 0.80 accuracy), with high specificity in the context of other chronic disorders. Longitudinal analysis showed that uric-acid-lowering and anti-inflammatory drugs partially restored gut microbiota after 24-week treatment. Comparative analysis with obesity, type 2 diabetes, ankylosing spondylitis and rheumatoid arthritis indicated that gout metagenomes were more similar to those of autoimmune than metabolic diseases. Our results suggest that gut dysbiosis was associated with dysregulated host urate degradation and systemic inflammation and may be used as non-invasive diagnostic markers for gout. |
format | Online Article Text |
id | pubmed-8352958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83529582021-08-13 Metagenomic analysis revealed the potential role of gut microbiome in gout Chu, Yongliang Sun, Silong Huang, Yufen Gao, Qiang Xie, Xuefeng Wang, Peng Li, Junxia Liang, Lifeng He, Xiaohong Jiang, Yiqi Wang, Maojie Yang, Jianhua Chen, Xiumin Zhou, Chu Zhao, Yue Ding, Fen Zhang, Yi Wu, Xiaodong Bai, Xueyuan Wu, Jiaqi Wei, Xia Chen, Xianghong Yue, Zhen Fang, Xiaodong Huang, Qingchun Wang, Zhang Huang, Runyue NPJ Biofilms Microbiomes Article Emerging evidence indicates an association between gut microbiome and arthritis diseases including gout. However, how and which gut bacteria affect host urate degradation and inflammation in gout remains unclear. Here we performed a metagenome analysis on 307 fecal samples from 102 gout patients and 86 healthy controls. Gout metagenomes significantly differed from those of healthy controls. The relative abundances of Prevotella, Fusobacterium, and Bacteroides were increased in gout, whereas those of Enterobacteriaceae and butyrate-producing species were decreased. Functionally, gout patients had greater abundances for genes in fructose, mannose metabolism and lipid A biosynthesis, and lower for genes in urate degradation and short chain fatty acid production. A three-pronged association between metagenomic species, functions and clinical parameters revealed that decreased abundances of species in Enterobacteriaceae were associated with reduced amino acid metabolism and environmental sensing, which together contribute to increased serum uric acid and C-reactive protein levels in gout. A random forest classifier based on three gut microbial genes showed high predictivity for gout in both discovery and validation cohorts (0.91 and 0.80 accuracy), with high specificity in the context of other chronic disorders. Longitudinal analysis showed that uric-acid-lowering and anti-inflammatory drugs partially restored gut microbiota after 24-week treatment. Comparative analysis with obesity, type 2 diabetes, ankylosing spondylitis and rheumatoid arthritis indicated that gout metagenomes were more similar to those of autoimmune than metabolic diseases. Our results suggest that gut dysbiosis was associated with dysregulated host urate degradation and systemic inflammation and may be used as non-invasive diagnostic markers for gout. Nature Publishing Group UK 2021-08-09 /pmc/articles/PMC8352958/ /pubmed/34373464 http://dx.doi.org/10.1038/s41522-021-00235-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chu, Yongliang Sun, Silong Huang, Yufen Gao, Qiang Xie, Xuefeng Wang, Peng Li, Junxia Liang, Lifeng He, Xiaohong Jiang, Yiqi Wang, Maojie Yang, Jianhua Chen, Xiumin Zhou, Chu Zhao, Yue Ding, Fen Zhang, Yi Wu, Xiaodong Bai, Xueyuan Wu, Jiaqi Wei, Xia Chen, Xianghong Yue, Zhen Fang, Xiaodong Huang, Qingchun Wang, Zhang Huang, Runyue Metagenomic analysis revealed the potential role of gut microbiome in gout |
title | Metagenomic analysis revealed the potential role of gut microbiome in gout |
title_full | Metagenomic analysis revealed the potential role of gut microbiome in gout |
title_fullStr | Metagenomic analysis revealed the potential role of gut microbiome in gout |
title_full_unstemmed | Metagenomic analysis revealed the potential role of gut microbiome in gout |
title_short | Metagenomic analysis revealed the potential role of gut microbiome in gout |
title_sort | metagenomic analysis revealed the potential role of gut microbiome in gout |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352958/ https://www.ncbi.nlm.nih.gov/pubmed/34373464 http://dx.doi.org/10.1038/s41522-021-00235-2 |
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