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Record W7132918067

The role of interferon-gamma in the pathogenesis of Kawasaki disease

2003· dissertation· W7132918067 on OpenAlexaboutno aff
Wesley Calvin Chan

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsnot available
Fundersnot available
KeywordsKawasaki diseasePathogenesisImmune systemArteritisCoronary artery diseaseEtiologyCoronary arteriesDisease
DOInot available

Abstract

fetched live from OpenAlex

Kawasaki disease is the most common cause of acquired pediatric heart disease in Canada. Stimulation of the immune system is followed by development of coronary artery lesions. Although KD is widely believed to be the result of an infectious agent, its etiology is still unknown. In this study, we investigated the role of IFNγ in disease pathogenesis. The kinetics of IFNγ production after disease induction was studied. RT-PCR, flow cytometry, and histology were performed on cardiac and peripheral lymphoid tissue at set time-points. In cardiac tissue, IFNγ expression was found to be biphasic. Peaks were corresponding to the first appearance of inflammatory infiltrate, and to vascular wall remodeling and aneurysm formation. The incidence of coronary arteritis was the same in IFNγ deficient and wildtype mice. Our findings demonstrate that IFNγ regulates the immune response during development of coronary arteritis, but is not required for the induction of coronary artery disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.323
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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