LMP2 polymorphism is associated with extraspinal disease in HLA-B27 negative Caucasian and Mexican Mestizo patients with ankylosing spondylitis.
Bibliographic record
Abstract
OBJECTIVE: To determine the effects of HLA Class II genes, particularly LMP2 and previously implicated Class I genes, on susceptibility and disease expression in HLA-B27 negative ankylosing spondylitis (AS). METHODS: Patients included 41 HLA-B27 negative Caucasians from a total AS population of 546 and 17 HLA-B27 negative Mexican Mestizo. Controls included 4352 random HLA-B27 negative Caucasians. LMP2 genotype assignments were made on all patients and 282 random Caucasian controls by polymerase chain reaction-restriction fragment length polymorphism with the Cfo I restriction enzyme while HLA typing was performed on patients and controls using microcytotoxicity assays for Class I, and sequence specific probe-PCR for HLA-B60, B39, B38, and DR. RESULTS: The LMP2BB genotype was significantly decreased in Caucasian AS patients without extraspinal (ES) disease (25%) compared to AS patients with ES (64.7%) (p = 0.01) and random Caucasian controls (53.9%) (p = 0.007), even when those with colitis and psoriasis were excluded from analysis (ES+ 55.6% versus ES- 22.2%). This finding remained significant after stratification by HLA-DR. Similar trends were noted in the Mexican population. A potential role for HLA-DR8 and DR2 in susceptibility to disease was observed in Caucasian patients, although this observation requires confirmation. We could not confirm reported associations with HLA-B60 or B39. Peripheral arthritis was significantly more commonly observed in those who had had acute anterior uveitis (AAU) (75%) than in those who had not developed AAU (27.3%) (p = 0.04). CONCLUSION: HLA Class II encoded genes may have effects on disease susceptibility and/or phenotype in HLA-B27 negative individuals similar to those noted in HLA-B27 positive AS. Eccentric and axial phenotypes of disease may be immunogenetically determined.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".