The role of tumour necrosis factor-[alpha] in an animal model of Kawasaki disease
Bibliographic record
Abstract
Kawasaki disease (KD) is the most common cause of multisystem vasculitis in childhood. Its propensity for aneurysm formation makes KD quite unique among coronary artery diseases, and the leading cause of pediatric acquired heart disease in the developed world. Tumour necrosis factor-alpha (TNFalpha) is a pleiotropic inflammatory cytokine elevated during the acute phase of KD. In a murine model of KD, rapid TNFalpha production occurs in the peripheral immune system after disease induction. This immune response becomes site-directed, with migration to coronary arteries dependent on TNFalpha mediated events. Production of TNFalpha in the heart is coincident with the presence of inflammatory infiltrate at the coronary arteries, which persists during aneurysm development. Ablation of TNFalpha effector functions abrogated inflammation and elastin breakdown in coronary vessels, rendering mice resistant to coronary arteritis and aneurysm formation. Thus, TNFalpha is necessary for development of coronary artery lesions in an animal model of Kawasaki disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".