What question did this study set out to answer?

To analyze oral cavity microbiota profiles and identify differentially abundant bacterial taxa associated with primary Sjögren's syndrome (pSS).

August 20, 2026FEMS Microbiology LettersOpen Access

Identification of Differentially Abundant Microorganisms Associated with Sjögren’s Syndrome: A 16S rRNA Sequencing Data Mining Approach

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Observational data mining reveals 27 enriched oral microbial taxa in primary Sjögren's syndrome, suggesting potential immune-triggering biomarkers.

To analyze oral cavity microbiota profiles and identify differentially abundant bacterial taxa associated with primary Sjögren's syndrome (pSS).
Analyzed 16S rRNA gene sequencing data from 242 oral cavity samples (168 pSS and 74 controls).
Processed sequences into amplicon sequence variants (ASVs) and assigned taxonomy using DADA2.
Assessed alpha and beta diversity via phyloseq in R and identified enriched taxa using Linear discriminant analysis Effect Size (LEfSe).
No statistically significant overall differences were observed in the broad microbial community composition and structure between pSS patients and healthy controls.
Differential abundance analysis identified 27 taxa enriched in the pSS group, including the species Actinomyces dentocariosa, the phyla Actinobacteriota and Fusobacteriota, and genera such as Streptococcus, Leptotrichia, Veillonella, Fusobacterium, and Alloprevotella.

Calderón et al. (2026) studied this question.

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Observational data mining reveals 27 enriched oral microbial taxa in primary Sjögren's syndrome, suggesting potential immune-triggering biomarkers.