S0483 Cytokine Gene Polymorphisms in Irritable Bowel Syndrome vs Inflammatory Bowel Disease: A Network Meta-Analysis
Bibliographic record
Abstract
INTRODUCTION: Cytokines are imbalanced in irritable bowel syndrome (IBS) and polymorphisms of cytokine-encoding genes may alter the risk of developing IBS. Whether IBS and inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), are separate entities or are on a spectrum with overlap is a question which has not been sufficiently explored. This study aimed to understand whether cytokine gene polymorphisms which are observed in IBS are also associated with IBD. METHODS: We designed a network meta-analysis to compare the distribution of three cytokine gene polymorphisms that have been more frequently studied in IBS and IBD: IL-10 (-1082GA), IL6 (-174GC), and TNF-α (-308GA). PubMed and Embase were searched for studies on the distribution of these polymorphisms in IBS and IBD vs. control. NetMetaXL (CADTH, Ottawa, Canada) was used for conducting this Bayesian network meta-analysis. Vague prior <0.5 suggested lower heterogeneity where fixed effects model was used. Odds ratio (OR) with 95% credible intervals [95% Cr.I.]. was used for the comparisons. RESULTS: Ten studies on IBS vs. controls, one on IBS vs. IBD vs. controls, and thirty-nine comparing IBD vs. controls, were included. The high producer IL-10 (-1082GG) genotype was less frequent in IBS vs. the three other groups: Controls 0.66 [0.50–0.88], UC 0.66 [0.47–0.91], and CD 0.72 [0.52–0.98]; while the intermediate producer IL-10 (-1082GA) was more frequently observed in IBS vs. Controls and UC. When comparing the low producer IL-10 (-1082AA) genotype in IBS with either IBD groups or Controls, no significant difference was observed, while CD had a lower frequency of IL-10 (-1082AA) vs. Controls. The high producer TNF-α (-308AA) was similarly distributed in IBS vs. other groups and was less frequent in Controls vs. UC: 0.68 [0.46–0.99]. TNF-α (-308 GG and GA) was similar among the study groups. IL6 (-174GC) was less frequent in IBS vs. CD: 0.73 [0.55–0.98]; and in UC vs. CD: 0.69 [0.53–0.89]. The high producer IL6 (-174GG) was less frequent in CD vs. UC: 0.73 [0.56–0.95]; while no difference was observed in IBS vs. other groups. CONCLUSION: IL-10 (-1082GA) has a more prominent role than TNF-α (-308GA) and IL6 (-174GC) in the pathogenesis of IBS and may distinguish IBS from IBD. There is a shift toward high producer pro-inflammatory TNF-α (-308AA) and IL6 (-174GG) in UC, distinguishing it from the other groups.
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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 | 0.018 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.046 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".