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Record W3109646113 · doi:10.1093/ehjci/ehaa946.3380

Favorable therapeutic index of an orally-active small-molecule antagonist of the platelet protease-activated receptor-4, BMS-986141, compared with the P2Y12 antagonist ticagrelor in cynomolgus monkeys

2020· article· en· W3109646113 on OpenAlexaff
Pancras C. Wong, Jacques Banville, Ruth R. Wexler, E. Scott Priestley, Anne Marinier, Michel Bouvier, David Gordon, Jaden Yang

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsMedicinePharmacologyP2Y12PlateletTicagrelorAntagonistPlatelet activationThrombinIn vivoEx vivoReceptor antagonistReceptorIn vitroInternal medicineAspirinChemistryBiochemistryClopidogrelPlatelet aggregationBiology

Abstract

fetched live from OpenAlex

Abstract Introduction BMS-986141 is an orally-active small-molecule platelet thrombin receptor antagonist selective for the protease-activated receptor-4 (PAR4), a human platelet thrombin receptor. Purpose This study assessed effects of BMS-986141 vs. the P2Y12 antagonist ticagrelor, a standard of care antiplatelet agent, on arterial thrombosis (AT), mesenteric bleeding time (MBT) and platelet aggregation in monkeys. Methods Studies were conducted in models of electrically-mediated carotid artery thrombosis and MBT in anesthetized monkeys. Monkeys were given a single oral dose of BMS-986141 (0.05, 0.1, 0.5 mg/kg) or vehicle (n=8/group). At 2 hr post-dose, in vivo AT, MBT as well as ex vivo platelet aggregation were monitored in the same animal. Ticagrelor was studied as a comparator and given as IV bolus plus infusion at 0.0023+0.017 to 0.075+0.6 (mg/kg+mg/kg/h) (n=5–6/group). Thrombus weight reduction, MBT increase over vehicle, and platelet aggregation inhibition were determined. Peak platelet aggregation responses to activation peptides selective for PAR4 (PAR4-AP, 12.5 μM) and PAR1 (PAR1-AP, 18 μM), to collagen (5 μg/ml) and to ADP (20 μM) were determined by whole blood aggregometry. Results BMS-986141 inhibited platelet aggregation induced by PAR4-AP in human and monkey blood in vitro with comparable IC50 of 1.8±0.3 and 1.2±0.3 nM, respectively. BMS-986141 at 0.5 mg/kg completely inhibited platelet aggregation induced by PAR4-AP but not PAR1-AP, ADP and collagen, suggesting PAR4 receptor selectivity. In the AT model, BMS-986141 at 0.05, 0.1 and 0.5 mg/kg reduced thrombus weight by 36±7*, 63±8*, and 88±3%*, respectively (*P<0.05 vs. vehicle). BMS-986141 increased MBT by up to 1.2-fold. In a separate study, ticagrelor at 0.0023+0.017, 0.0068+0.055, 0.0255+0.18 and 0.075+0.6 (mg/kg+mg/kg/h IV) reduced thrombus weight by 19±8, 36±5*, 76±6* and 89±1%*, and increased MBT by respectively by 1.7-, 6.4-*, >10-*, and >10-fold*, respectively (*P<0.05 vs. vehicle). Conclusion Comparable antithrombotic efficacy was observed between BMS-986141 and ticagrelor in monkeys. BMS-986141 exhibited lower MBT compared with ticagrelor at equivalent antithrombotic doses. This study suggests that PAR4 antagonism provides a potentially safer antiplatelet therapy. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Research was supported by Bristol-Myers Squibb

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.035
GPT teacher head0.258
Teacher spread0.223 · 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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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