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Record W2010976459 · doi:10.1196/annals.1383.012

Is There a Role for the Macrophage 5‐Lipoxygenase Pathway in Aortic Aneurysm Development in Apolipoprotein E–Deficient Mice?

2006· article· en· W2010976459 on OpenAlexaff
Colin Funk, Richard Y. Cao, Lei Zhao, Andreas J. R. Habenicht

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsQueen's University
FundersNational Heart, Lung, and Blood Institute
KeywordsLipoxygenaseMacrophageAortic aneurysmApolipoprotein BChemistryMedicineInternal medicineAortaBiochemistryEnzymeCholesterol

Abstract

fetched live from OpenAlex

Activation of the 5-lipoxygenase (5-LO) pathway leads to the biosynthesis of proinflammatory leukotriene (LT) lipid mediators in macrophages, mast cells, and other inflammatory cell types. A recent surge in interest in this pathway within the cardiovascular system has arisen from a variety of exciting findings using genetic, pathological specimen, and biochemical approaches in humans and mice. We found that a subset of CD68-positive macrophages, localized within the adventitial layer of apolipoprotein E (apo E)-deficient mice, expressed 5-LO and that these cells represented a significant cellular component of aortic aneurysms induced by an atherogenic diet containing cholate. Surprisingly, almost no 5-LO-expressing cells were observed in atherosclerotic lesions in the same mice. Correspondingly, lesion size in the fat-fed mice did not depend on 5-LO gene expression but aneurysm incidence was reduced in the absence of the 5-LO pathway. We are currently exploring the potential mechanisms for 5-LO/LT involvement in aneurysm pathogenesis and if this pathway might come into play in other models such as induction by angiotensin II.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.044
GPT teacher head0.277
Teacher spread0.233 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of SciencesSame topicAtherosclerosis and Cardiovascular DiseasesFrench-language works237,207