Decreased Frequency of the Tumor Necrosis Factor α –308 Allele in Serbian Patients with Multiple Sclerosis
Bibliographic record
Abstract
Tumor necrosis factor (TNF) alpha has been considered the prototypic cytopathogenic cytokine in multiple sclerosis (MS), but recently this cytokine has been shown to possess significant anti-inflammatory and neuroprotective effects in demyelinating diseases. It has been reported that the TNFalpha -308 polymorphism influences levels of TNFalpha production, and that the rare allele, TNF2, is associated with high TNFalpha production. We investigated the TNFalpha -308 polymorphism in 143 unrelated Serbian patients with MS and 123 ethnically matched, healthy individuals using the allele-specific restriction fragment length polymorphism polymerase chain reaction technique. The frequency of the TNF2 allele was significantly decreased in MS patients (14%) in comparison with controls (24%; p = 0.044). The TNF2 allele had no influence on disease behavior, since it was not associated with the course and severity of MS in this group of patients. The result suggests that in the Serbian population polymorphism at position -308 of TNFalpha or at an adjacent locus might have a role in MS susceptibility.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".