Genetic polymorphisms of interleukin-16 in Egyptian patients with primary knee osteoarthritis
Bibliographic record
Abstract
Abstract Background The pro-inflammatory cytokine, interleukin 16 (IL-16), has been shown to be secreted in low levels in knee osteoarthritis (KOA). The aim of the study was to examine the relationship between IL-16 polymorphisms and the risk of KOA in the Egyptian population, as well as the clinical and radiographic severity of KOA. Results IL16 rs11556218 thymidine triphosphate (T) T G (guanosine triphosphate), GG, TG + GG genotypes, and G allele (odd ratio (OR) = 0.315; 95% confidence interval (CI) = 0.191–0.518; P < 0.001; OR = 0.363; 95% CI = 0.162–0.815, P = 0.014; OR = 0.323; 95% CI = 0.202–0.519, P < 0.001; OR = 0.480; 95% CI = 0.338–0.683, P < 0.001 respectively); rs4778889 cytidine triphosphate (C) T,CC, TC + CC genotypes, and C allele (OR = 0.519, 95% CI = 0.319–0.844, P = 0.008; OR = 0.309, 95% CI = 0.105–0.916, P = 0.034; OR = 0.485, 95% CI = 0.304–0.775, P = 0.002; OR = 0.537, 95% CI = 0.365–0.791, P = 0.001 respectively); and rs4072111 CT, TT, CT + TT genotypes, and T allele (OR = 0.537, 95% CI = 0.323–0.893, P = 0.017, OR = 0.316, 95% CI = 0.096–0.843, P = 0.049, OR = 0.502, 95% CI = 0.309–0.816, P = 0.005; OR = 0.534, 95% CI = 0.353–0.809, P = 0.004 respectively) were associated with a decreased KOA risk, and they were significantly associated with decreased the Western Ontario and McMaster Universities Arthritis Index (WOMAC) and the Kellgren-Lawrence (K/L) scores. Neither IL-16 serum levels nor IL-16 polymorphisms were associated with the susceptibility to KOA. Low KOA risk was associated with the haplotypes GTC and TCT. Conclusion There was no correlation between serum IL-16 levels and KOA susceptibility or IL-16 polymorphisms. GTC and TCT haplotypes were associated with low KOA risk. The variant alleles rs11556218GG, TG + GG; rs4778889 CC, TC + CC; and rs4072111 TT, CT + TT were associated with a reduced risk of KOA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 0.001 |
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".