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Record W2058387971 · doi:10.1016/s0014-5793(02)02434-1

The hepoxilin analog PBT‐3 inhibits heparin‐activated platelet aggregation evoked by ADP

2002· article· en· W2058387971 on OpenAlexafffund
Dénis Reynaud, Alexander Hinek, C.R. Pace-Asciak

Bibliographic record

VenueFEBS Letters · 2002
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsChemistryPlateletThromboxaneThromboxane A2PharmacologyThromboxane receptorReceptorThromboxane B2AntagonistAspirinMechanism of actionPlatelet activationHeparinIn vitroBiochemistryInternal medicineMedicine

Abstract

fetched live from OpenAlex

We have previously shown that PBT-3, a stable synthetic analog of hepoxilins, inhibits the aggregation of human platelets in vitro evoked by collagen through inhibition of thromboxane A(2) formation and action on the TP receptor. We now show that PBT-3 is capable of potently inhibiting the second phase of aggregation evoked by ADP in both washed human platelets and platelet-rich plasma (PRP), a phase associated with thromboxane formation. Aspirin blocks this second phase as well; so does the thromboxane receptor antagonist SQ 29,548. When ADP-evoked aggregation in PRP is activated by heparin through an enhancement of thromboxane formation, PBT-3, aspirin as well as SQ 29,548 block this activation through different mechanisms. These data confirm the inhibitory action of PBT-3 on aggregation of human platelets through inhibition of both thromboxane formation and blockade of thromboxane receptor action and suggest that this family of compounds may be useful in the treatment of thrombotic disorders in combination with heparin.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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

Citations6
Published2002
Admission routes2
Has abstractyes

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