Multi-omics profiling reveals potential alterations in rheumatoid arthritis with different disease activity levels
Authors' conclusion
Overall, our multi-omics analysis confirmed that RA patients with different disease activity were altered in plasma metabolites, gut microbiota composition, transcript levels, and DNA.
Study context
- Population
- Rheumatoid arthritis (RA) patients and healthy subjects; fecal, plasma and PBMC samples for 16S rRNA, internally transcribed spacer (ITS), LC-MS/MS, RNA sequencing and whole exome sequencing (WES)external validation cohort of 93
- Comparison
- RA patients with different disease activity levels vs healthy subjects
- Healthyn = 50reference
- Outcome
- Multi-omics alterations by RA disease activity
Methodological detailsmulti-omics profiling, random forest models, external validation cohort
- Multi-omics profiling
- Random forest models
- External validation cohort
Main finding
As reported in the abstract
- Significant alterations in plasma metabolites and gut microbiota in RA patients with different disease activities
- Plasma metabolites, especially lipid metabolites, significantly correlated with DAS28 score and associated with gut bacteria and fungi
- KEGG enrichment of plasma metabolites and RNA sequencing: alterations in lipid metabolic pathway in RA progression
- WES: Non-synonymous single nucleotide variants (nsSNV) of HLA-DRB1 and HLA-DRB5 gene locus associated with RA disease activity
- Classifier based on plasma metabolites and gut microbiota effectively discriminated RA patients with different disease activity in discovery and external validation cohorts
Original publication
Multi-omics profiling reveals potential alterations in rheumatoid arthritis with different disease activity levels. Arthritis Res Ther. Published 3 May 2023. doi:10.
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