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Record W3177400806 · doi:10.1161/atvb.36.suppl_1.24

Abstract 24: NETosis is Associated with Abdominal Aortic Aneurysm Rupture

2016· article· en· W3177400806 on OpenAlexaff
Sean J. English, Hassan Albadawi, Hyung‐Jin Yoo, Kimberly Martinod, José A. Díaz, Akshaya K. Meher, Gilbert R. Upchurch, Denisa D. Wagner, Michael T. Watkins

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsNeutrophil extracellular trapsMedicineMyeloperoxidaseElastaseThrombusAbdominal aortic aneurysmNeutrophil elastaseInflammationPathologyExtracellularImmunofluorescenceAntibodyAneurysmInternal medicineGastroenterologySurgeryImmunologyBiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

Objectives: Abdominal aortic aneurysm (AAA) rupture (RAAA) is associated with high mortality. Intraluminal thrombus and associated inflammation have been implicated in RAAA. We sought to characterize neutrophil extracellular trap (NET) formation, or NETosis, associated with a rat RAAA model that we previously developed. Methods: To stimulate AAA formation, infrarenal abdominal aortas of male SD rats were infused with porcine pancreatic elastase (PPE): active (AAA, n=21) and heat-inactivated (control, n=14). Aortas were harvested 3, 6, and 14d post PPE exposure. To stimulate RAAA, a separate group of animals was administered β-aminopropionitrile (BAPN, n=12) daily. Those animals that did not rupture (NRAAA-14d, n=6) were harvested 14d post PPE exposure. Paraffin embedded sections were analyzed using immunofluorescence. To evaluate evidence of primarily neutrophil activity and NET generation, myeloperoxidase (MPO) and peptidylarginine deiminase 4 (PAD4) were quantified utilizing Cy3 and Alexa-488 secondary antibodies, respectively. To determine the presence of NETs, citrullinated histone H3 (H3Cit, Cy3) was visualized. DAPI was utilized to detect nuclei. Aortic sections were imaged with fluorescent microscopy, and quantification of percent area stained (PAS) was performed by threshold analysis. Results: Greater MPO PAS was observed for AAA-6d compared with control-6d (p=0.03). Greater PAD4 PAS was observed for AAA-3d (p=0.02) and -6d (p=0.05) compared with control-3d and -6d, respectively. Greater H3Cit PAS was observed for AAA-6d (p<0.0001) and -14d (p=0.001) compared with control-6d and -14d, respectively. In the setting of rupture stimulation, greater H3Cit PAS was observed for RAAA compared with AAA-14d (p=0.001) and NRAAA-14d (p=0.0002). Conclusions: Increased PAD4 expression by AAAs compared with controls at 3 and 6d post PPE exposure, results in increased H3Cit expression at 6 and 14d post PPE exposure. Comparable H3Cit expression by AAA-6d and RAAA demonstrates the acute nature of this rupture model; however, greater H3Cit expression by RAAAs suggests a role for NETosis in RAAA. Further evaluation of NETosis as it pertains to human RAAA is necessary. Therapeutic inhibition of NETosis may slow AAA progression and prevent RAAA.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.241
Teacher spread0.215 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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