Exploring salivary biomarkers and swallowing perceptions in Sjogren's syndrome: A case–control feasibility study
Bibliographic record
Abstract
Abstract Background The autoimmune disease Sjogren's syndrome (SS) is often characterized by salivary changes that may affect swallowing. No known study has investigated the association between salivary biomarkers and perceptions of swallowing in individuals with SS. Our objectives were to explore: (1) the operational feasibility of investigating saliva volume and composition, along with perceptions of swallowing, in those with and without SS; and (2) the relationship between saliva composition and perceptions of oral dryness, swallowing, and quality of life. Methods We conducted a prospective, case–control feasibility study, collecting feasibility data (recruitment rate and optimal saliva collection methods) and whole mouth saliva samples (unstimulated and stimulated). We measured total protein content and conducted sialochemical (α‐amylase, cortisol, C‐reactive protein [CRP], and mucins), sialometric (flow rate), and perceptual (oral dryness and swallowing‐related quality of life [SWAL‐QOL]) assessments. Our exploratory analyses focused on the main and fixed effects. We summarized all data descriptively, comparing: (a) outcomes between groups ( t tests or Mann–Whitney U ) and (b) salivary and perceptual data across participants (partial least‐squares correlation [PLSC]). Results We enrolled 12 ( N ) participants (6 per group), all providing analyzable saliva. Cases had lower flow rate ( p = 0.003) and higher total protein, cortisol, and CRP concentrations ( p < 0.02) than controls. PLSC revealed inverse covariance between sialochemical and SWAL‐QOL data across participants. Conclusion Our study was feasible as designed. We explored novel relationships between salivary outcomes and participant‐reported perceptions, distinguishing individuals with and without SS. Our findings support further study of saliva's role in perceptions of swallowing, specifically analytes with lubricative properties.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".