ArticleAnnals of translational medicine2019
Variations in gut microbial profiles in ankylosing spondylitis: disease phenotype-related dysbiosis.
Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Age- and region-specific gut microbiota dysbiosis in axial spondyloarthritis: a systematic review and meta-analysis.Frontiers in immunology · 2026Pooled it
- A guideline on biomarkers in the diagnosis and evaluation in axial spondyloarthritis.Frontiers in immunology · 2024Guideline
- Gut microbiota dysbiosis in ankylosing spondylitis: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2024Pooled it
- Composition of and changes in faecal microbiota in children diagnosed with oligoarticular juvenile idiopathic arthritis.Frontiers in medicine · 2026Article
- Alterations in the Gut Microbiome in Ankylosing Spondylitis and Their Correlation with Disease Activity.Journal of microbiology and biotechnology · 2025Article
- Multi-omic insights from a multi-ancestry genome-wide meta-analysis of ankylosing spondylitis reveal novel pathways of disease susceptibility.Research square · 2025Article
- From Dysbiosis to Disease: The Microbiome's Influence on Uveitis Pathogenesis.Microorganisms · 2025Review
- Gut microbiota and ankylosing spondylitis: current insights and future challenges.Microbial cell (Graz, Austria) · 2025Review
- Dysbiosis of Gut Microbiota in Ankylosing Spondylitis Patients.Journal of inflammation research · 2025Article
- Gut microbiota and risk of ankylosing spondylitis.Clinical rheumatology · 2024Article
- Exploring the Pathogenesis of Spondylarthritis beyond HLA-B27: A Descriptive Review.International journal of molecular sciences · 2024Review
- Comprehensive analysis of the oral microbiota and metabolome change in patients of burning mouth syndrome with psychiatric symptoms.Journal of oral microbiology · 2024Article
- Discovery of fecal microbial signatures in patients with ankylosing spondylitis.Archives of rheumatology · 2023Article
- Characterisation of gut microbiota composition in patients with axial spondyloarthritis and its modulation by TNF inhibitor treatment.RMD open · 2023Article
- No Evidence of a Genetic Causal Relationship between Ankylosing Spondylitis and Gut Microbiota: A Two-Sample Mendelian Randomization Study.Nutrients · 2023Article
- Case report: Fecal microbiota transplantation in refractory ankylosing spondylitis.Frontiers in immunology · 2023Article
- Alterations in the gut virome in patients with ankylosing spondylitis.Frontiers in immunology · 2023Article
- Impact of HLA-B27 and Disease Status on the Gut Microbiome of the Offspring of Ankylosing Spondylitis Patients.Children (Basel, Switzerland) · 2022Article
- Review
- Role of the microbiome and its metabolites in ankylosing spondylitis.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicrobial involvement in ankylosing spondylitis (AS) has been suggested; however, the relationship between gut microbiome and the disease phenotypes of AS remains to be established. This study was to characterize and investigate differences in the gut microbiome between AS patients and healthy controls (HCs), and to determine whether the gut microbiome profile associated with the disease phenotypes.
methods16S rRNA gene V4 region sequencing was performed on fecal DNA isolated from stool samples collected from 41 patients with AS [20 axial AS (axAS) and 21 peripheral AS (pAS)] and 19 HCs. QIIME based pipeline was used to process the raw sequence data. Alpha and beta diversities were assessed using QIIME, and comparisons of gut microbiome profile were performed using linear discriminant analysis (LDA) effect size (LEfSe) to examine differences between groups and subgroups. A gut microbiota-based model for predictive diagnosis of AS was constructed using random forest algorithm and its predictive value was assessed by receiver-operating characteristic analyses.
resultsOur results showed that fecal microbial communities in patients with AS differ significantly from those in HCs, driven by a higher abundance of 7 genera (
conclusionsOur results revealed specific alterations in the gut microbiome in patients with different phenotypes of AS, and the classification model based on gut microbial features might provide a new direction for future clinical diagnosis. Lastly, discovery of the associated microbes of AS in the gut microbiome may help us to seek more treatments for this disease.
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