MétaCan
Menu
Back to cohort
Record W91596172 · doi:10.3233/ch-2010-1294

The endothelial-protective effects of HMG-CoA reductase inhibition in the setting of ischemia and reperfusion injury

2010· article· en· W91596172 on OpenAlexafffund
Andrew Liuni, Mary Clare Luca, Tommaso Gori, John D. Parker

Bibliographic record

VenueClinical Hemorheology and Microcirculation · 2010
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersHeart and Stroke Foundation of Canada
KeywordsHMG-CoA reductaseCardioprotectionMedicineReductaseIschemiaPharmacologyReperfusion injuryCyclooxygenaseHydroxymethylglutaryl-CoA reductaseEndothelial dysfunctionEnzymeInternal medicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

Animal studies have consistently demonstrated the ability of 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors to limit the damage induced by ischemia-reperfusion (IR) in the cardiac, cerebral and mesenteric circulation through a mechanism dependent on the upregulation of cyclooxygenase-2 (COX-2). Our group performed studies aimed at investigating the mechanism of HMG-CoA reductase inhibitor-mediated endothelial protection from IR injury, in particular the role of COX-2, in a human in vivo model of IR-induced endothelial dysfunction. We demonstrated that HMG-CoA reductase inhibition protects against IR-induced endothelial damage, an effect that was lost upon COX-2 inhibition. These observations may suggest a mechanistic explanation for the cardioprotection observed in clinical settings such as percutaneous coronary interventions and coronary artery bypass surgery and may also propose a mechanistic hypothesis for the reported cardiotoxic effects of cyclooxygenase-2 inhibitors observed in clinical studies. These studies are summarized and discussed in the present paper.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.301
Teacher spread0.295 · 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

Citations13
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueClinical Hemorheology and MicrocirculationSame topicInflammatory mediators and NSAID effectsFrench-language works237,207