A predictive model based on the gut microbiota improves the diagnostic effect in patients with rheumatoid arthritis
Authors' conclusion
Notable differences in gut microbiota exist between RA patients and healthy individuals.
Study context
- Population
- Rheumatoid arthritis (RA) patients and healthy controls; validation in European Nucleotide Archive (ENA) dataset PRJNA450,340
- Participants
- 262 vs 475
- Comparison
- RA vs healthy controls; microbiome-based diagnostic models
- RAn = 262
- Healthy controls (HCs)n = 475reference
- Outcome
- Diagnostic performance (AUC) of gut microbiota-based models for RA
Methodological detailscase-control, 16S rRNA sequencing, external validation dataset (PRJNA450340)
- Case-control
- 16S rRNA sequencing
- External validation dataset (PRJNA450340)
Performance
As reported in the abstract
AUC of GLM model based on seven key genera
Generalized Linear Model (GLM) AUC, training set
71.03%
GLM AUC, validation set
74.71%
Further findings
Gut microbial diversity
- Significantly reduced α-diversity in RA vs HCs
- Notable distinctions in β-diversity between RA and HCs
Original publication
A predictive model based on the gut microbiota improves the diagnostic effect in patients with rheumatoid arthritis. Rheumatology (Oxford). Published 28 January 2025. doi:10.
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