The Association Between <scp>HLA</scp> Genetic Susceptibility Markers and Sonographic Enthesitis in Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Enthesitis is an important pathophysiologic component of psoriatic arthritis (PsA). HLA genes are implicated in the pathogenesis of PsA. Little is known about the relationship between HLA genetic susceptibility markers and enthesitis in PsA patients. Our aim was to examine the association between HLA genetic susceptibility markers and sonographic enthesitis in PsA. METHODS: A cross-sectional analysis was conducted in patients with PsA. Sonographic enthesitis was assessed according to the Madrid Sonography Enthesitis Index scoring system. HLA genotyping was performed using sequence-specific oligonucleotide probes. The association between 6 HLA susceptibility markers of PsA and the severity of sonographic enthesitis was assessed using multivariate regression models adjusted for age, sex, body mass index, and disease duration. RESULTS: Two hundred twenty-five patients were included, 57.8% of whom were men. The mean ± SD age was 56.1 ± 12.7 years, and the mean ± SD PsA duration was 16.9 ± 12.3 years. In the multivariate regression model, HLA-B*27 was associated with a higher enthesitis score (β = 4.24 [95% confidence interval {95% CI} 0.02, 8.46]), and the interaction between HLA-B*27 and PsA duration was statistically significant, showing an increasing effect of HLA-B*27 with longer PsA duration (β = 4.62 [95% CI 1.38, 7.86]). CONCLUSION: HLA-B*27 is associated with more severe sonographic enthesitis in PsA, particularly in patients with longer disease duration. This finding highlights the possible role of genetic variants in predisposing to PsA subphenotypes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".