Trial reportBMC genomics2020
Gut microbiota in children with juvenile idiopathic arthritis: characteristics, biomarker identification, and usefulness in clinical prediction.
Trial report in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Changes in Gut Microbiota and Multiple Sclerosis: A Systematic Review.International journal of environmental research and public health · 2023Pooled it
- Recent antibiotic exposure and response to treatment of juvenile idiopathic arthritis: a retrospective cohort study.Arthritis research & therapy · 2026Article
- The gut-joint axis in juvenile idiopathic arthritis.Arthritis research & therapy · 2026Review
- Host genetic variation and gut microbiome in pediatric diseases.Chinese medical journal · 2026Review
- Lower respiratory tract microbiota characteristics in patients withFrontiers in cellular and infection microbiology · 2026Article
- Composition of and changes in faecal microbiota in children diagnosed with oligoarticular juvenile idiopathic arthritis.Frontiers in medicine · 2026Article
- The mycobiome in human cancer: analytical challenges, molecular mechanisms, and therapeutic implications.Molecular cancer · 2025Review
- From arthritis to central sensitization: targeting the neuro-immune axis via microglial modulation in acupuncture treatment for Juvenile Idiopathic Arthritis-associated pain.Frontiers in immunology · 2025Review
- Age-stratification reveals age-specific intestinal microbiota signatures in juvenile idiopathic arthritis.Molecular and cellular pediatrics · 2024Article
- Article
- Causal effect of gut microbiota on juvenile idiopathic arthritis: A two-sample Mendelian a randomization study.Journal of cellular and molecular medicine · 2024Article
- Familial clustering of dysbiotic oral and fecal microbiomes in juvenile dermatomyositis.Scientific reports · 2024Observational
- Faecalibacterium prausnitzii as a potential Antiatherosclerotic microbe.Cell communication and signaling : CCS · 2024Article
- The emerging roles of microbiome and short-chain fatty acids in the pathogenesis of bronchopulmonary dysplasia.Frontiers in cellular and infection microbiology · 2024Review
- Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota.Frontiers in cellular and infection microbiology · 2024Article
- Causal association of juvenile idiopathic arthritis or JIA-associated uveitis and gut microbiota: a bidirectional two-sample Mendelian randomisation study.Frontiers in immunology · 2024Article
- Nuxcell NeoFrontiers in veterinary science · 2024Article
- The supplementation ofFood science & nutrition · 2024Article
- Perinatal events and development of juvenile idiopathic arthritis-associated uveitis.Scientific reports · 2023Article
- Distinguishable Influence of the Delivery Mode, Feeding Pattern, and Infant Sex on Dynamic Alterations in the Intestinal Microbiota in the First Year of Life.Microbial ecology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundRecent studies have suggested that the gut microbiota is altered in children with juvenile idiopathic arthritis (JIA). However, age, sex, and body mass index (BMI) were not matched in the previous studies, and the results are inconsistent. We conducted an age-, sex-, and BMI-matched cross-sectional study to characterize the gut microbiota in children with JIA, and evaluate its potential in clinical prediction.
methodsA total of 40 patients with JIA and 42 healthy controls, ranging from 1 to 16 years, were enrolled in this study. Fecal samples were collected for 16S rDNA sequencing. The data were analyzed using QIIME software and R packages. Specifically, the random forest model was used to identify biomarkers, and the receiver operating characteristic curve and the decision curve analysis were used to evaluate model performance.
resultsA total of 39 fecal samples from patients with JIA, and 42 fecal samples from healthy controls were sequenced successfully. The Chao 1 and Shannon-Wiener index in the JIA group were significantly lower than those in the control group, and the Bray-Curtis dissimilarity also differed significantly between the two groups. The relative abundance of 4 genera, Anaerostipes, Dialister, Lachnospira, and Roseburia, decreased significantly in the JIA group compared to those in the control group. The 4 genera included microbes that produce short-chain fatty acids (SCFAs) and were negatively correlated with some rheumatic indices. Moreover, 12 genera were identified as potential biomarkers by using the nested cross-validation function of the random forest. A random forest model constructed using these genera was able to differentiate the patients with JIA from the healthy controls, and the area under the receiver operating characteristic curve was 0.7975. The decision curve analysis indicated that the model had usefulness in clinical practice.
conclusionsThe gut microbiota in patients with JIA is altered and characterized by a decreased abundance of 4 SCFA-producing genera. The decreases in the 4 genera correlated with more serious clinical indices. Twelve genera could be used as biomarkers and predictors in clinical practice.
trial registrationThe study is registered online at the Chinese Clinical Trial Registry on 11 May 2018 (registration number: ChiCTR1800016110).
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