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Record W2809164732 · doi:10.1042/cs20180185

Interleukin-3 is required for thoracic aneurysm and dissection in a mouse model

2018· letter· en· W2809164732 on OpenAlexaff
Clinton S. Robbins, John Byrne

Bibliographic record

VenueClinical Science · 2018
Typeletter
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsAneurysmDissection (medical)MedicineAnatomySurgery

Abstract

fetched live from OpenAlex

The pathogenesis of thoracic aortic aneurysm and dissection (TAAD) is complex and incompletely understood. The hallmarks of the disease process are aortic inflammatory cell infiltration and protease mediated elastic fiber disruption. In a study recently published in Clinical Science (2018) 132 (6), 655–668), Liu et al. explore the mechanism through which aortic vascular smooth cells and macrophages participate in TAAD using a mouse model. The authors propose that interleukin-3 (IL-3) released from aortic vascular smooth cells is central to the disease process. IL-3 stimulated matrix metalloproteinase 12 (MMP12) release from macrophages via mitogen activated protein kinase pathways. MMP12 is a protease known to be involved in both aortic aneurysm and dissection. IL-3 knockout mice had significantly reduced aortic wall MMP12, and reduced protease activity. This was associated with protection against TAAD.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.162
GPT teacher head0.446
Teacher spread0.284 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2018
Admission routes1
Has abstractyes

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