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Abstract
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.
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1 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); Guangdong Provincial Hospital of Chinese Medicine, Zhuhai Branch, Zhuhai, China (GRID:grid.413402.0) (ISNI:0000 0004 6068 0570)
2 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839)
3 BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839)
4 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); BGI-Shenzhen, BGI Genomics, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839)
5 BGI-Shenzhen, BGI Institute of Applied Agriculture, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839)
6 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685)
7 BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839); City University of Hong Kong, Department of Computer Science, Hong Kong, China (GRID:grid.35030.35) (ISNI:0000 0004 1792 6846)
8 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China (GRID:grid.484195.5); University Medical Center Utrecht, Center for Molecular Medicine, Utrecht, Netherlands (GRID:grid.7692.a) (ISNI:0000000090126352)
9 BGI-Shenzhen, BGI Genomics, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839)
10 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint lab on Chinese Medicine and Immune Disease Research, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); Sun Yat-Sen University, School of Environmental Science and Engineering, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X)
11 Sun Yat-Sen University, School of Environmental Science and Engineering, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X)
12 South China Normal University, Institute of Ecological Sciences, School of Life Sciences, Guangzhou, China (GRID:grid.263785.d) (ISNI:0000 0004 0368 7397)
13 The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685); Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China (GRID:grid.484195.5); Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint lab on Chinese Medicine and Immune Disease Research, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685)