The Influence of Upstream IL‐2 ‐330 (T/G) and TNF‐α ‐308 (A/G) Polymorphisms on Glutamine‐Supplemented Cytokine Release
Bibliographic record
Abstract
Various studies have shown that dietary glutamine can modify the course of an immune response, through altering the release of cytokines. Nutritional supplementation of glutamine may therefore be of advantage to patients, particularly those with compromised immunity. Given that polymorphisms in cytokine genes can also affect cytokine levels, we have undertaken a study to identify whether there was a differential effect of glutamine supplementation in the context of different IL-2 -330 (T/G) and TNF-α -308 (A/G) genotypes. Overall, there was no significant impact of glutamine supplementation on IL2 release. However, analysing low, medium and high expressors independently, there was an effect of high glutamine levels on cytokine release from the low and medium expressors. Likewise, there was no effect of glutamine supplementation on the TNF-α release, although a tendency to lower cytokine release at high levels of glutamine. Irrespective of the glutamine concentrations, there was no difference in IL2 release between the IL2 -330 genotypes; there was an effect of the TNF-α genotypes, with the AG and GG genotypes showing greater cytokine release than from the AA genotype.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".