Anti-Integrin αvβ6 Autoantibodies as a Biomarker for Ulcerative Colitis in Patients With Axial Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: Anti-integrin αvβ6 autoantibodies (anti-αvβ6) have recently been described as informative biomarkers for ulcerative colitis (UC), demonstrating a high sensitivity and specificity compared to patients without inflammatory bowel disease (IBD). Given the association between axial spondyloarthritis (axSpA) and IBD, we sought to evaluate the potential of anti-αvβ6 as a biomarker in axSpA patients with or without concurrent IBD. METHODS: Using an established ELISA protocol, we measured anti-αvβ6 levels in sera of patients with (1) axSpA and UC, (2) axSpA and Crohn disease (CD), (3) axSpA alone, and (4) healthy controls (HCs). Anti-αvβ6 absorbance values were compared between patient groups and clinical variables were compared with anti-αvβ6 positivity. RESULTS: Eighteen patients with axSpA and UC, 29 with CD, 48 with axSpA alone, and 48 HCs were included. Patients with axSpA and UC showed a significant increase in mean absorbance and anti-αvβ6 positivity rate compared with axSpA alone. For the diagnosis of UC among patients with axSpA, anti-αvβ6 had a sensitivity of 55.6% and specificity of 89.6%, and receiver-operating characteristic analysis yielded an area under the curve value of 0.83. Anti-αvβ6 positivity was associated with a family history of IBD in patients with axSpA and UC. Surprisingly, anti-αvβ6-positive patients had decreased mean C-reactive protein and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) scores compared with anti-αvβ6-negative patients. Examining serial samples, we observed that 3 of 10 anti-αvβ6-positive patients became anti-αvβ6-negative, whereas anti-αvβ6-negative to anti-αvβ6-positive transitions were not observed. CONCLUSION: Anti-αvβ6 positivity demonstrated potential as a diagnostic test for UC in patients with axSpA, particularly those with a family history of IBD. To our knowledge, this is the first study to date examining anti-αvβ6 in axSpA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".