AI Article Synopsis

  • The study aimed to compare the subgingival microbiome between patients with rheumatoid arthritis (RA) and those with osteoarthritis (OA) to see if there were significant differences.
  • Researchers collected subgingival samples from a large number of both RA and OA patients and used advanced DNA sequencing methods to analyze the bacterial profiles.
  • The findings indicated that there was no distinct microbial signature that differentiated RA from OA, even after considering various influencing factors like periodontitis and smoking habits.

Article Abstract

Objectives: To profile and compare the subgingival microbiome of RA patients with OA controls.

Methods: RA (n = 260) and OA (n = 296) patients underwent full-mouth examination and subgingival samples were collected. Bacterial DNA was profiled using 16 S rRNA Illumina sequencing. Following data filtering and normalization, hierarchical clustering analysis was used to group samples. Multivariable regression was used to examine associations of patient factors with membership in the two largest clusters. Differential abundance between RA and OA was examined using voom method and linear modelling with empirical Bayes moderation (Linear Models for Microarray Analysis, limma), accounting for the effects of periodontitis, race, marital status and smoking.

Results: Alpha diversity indices were similar in RA and OA after accounting for periodontitis. After filtering, 286 taxa were available for analysis. Samples grouped into one of seven clusters with membership sizes of 324, 223, 3, 2, 2, 1 and 1 patients, respectively. RA-OA status was not associated with cluster membership. Factors associated with cluster 1 (vs 2) membership included periodontitis, smoking, marital status and Caucasian race. Accounting for periodontitis, 10 taxa (3.5% of those examined) were in lower abundance in RA than OA. There were no associations between lower abundance taxa or other select taxa examined with RA autoantibody concentrations.

Conclusion: Leveraging data from a large case-control study and accounting for multiple factors known to influence oral health status, results from this study failed to identify a subgingival microbial fingerprint that could reliably discriminate RA from OA patients.

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http://dx.doi.org/10.1093/rheumatology/key052DOI Listing

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