Biochemical and Pharmacologic Profiling of a Novel Dual Acting Antithrombin Agent with Antiprotease and Antiplatelet Actions. Hematologic Implications.
Bibliographic record
Abstract
Abstract Background: The pathogenesis of thrombosis involves both cellular and humoral processes. Most antithrombotic drugs exhibit either anti-protease or anti-platelet effects. A combination of anti-protease and anti-platelet drugs provides better efficacy in the management of thrombotic disorders. A series of synthetic low molecular weight serine protease inhibitors with varying anti-platelet effects (Medicure Inc.) are being assessed for antithrombotic properties. Materials and Methods: This investigation reports on a compound with low antithrombin/high anti-platelet activity MC 45301 (A) and a compound with high antithrombin/low anti-platelet activity MC 45308 (B) activity in in-vitro and in-vivo settings used to profile antithrombotic drugs. Results: A exhibited strong anti-platelet actions as measured using ADP as an agonist (IC50=1.1 g/ml), whereas B had a higher IC50 (9.4 g/ml). In the antithrombin titration assay A (>100 μg/ml) showed a relatively higher IC50 than B (45 μg/ml). In the global anticoagulant assays, A exhibited somewhat weaker effects than B. In the Xa generation assay, both compounds exhibited similar effects. However, in the thrombin generation assays B exhibited stronger effects. In whole blood assays both compounds produced anticoagulant and anti-platelet effects. Intravenous administration of these compounds to rabbits over a dose range of 50–500 g/kg produced strong dose dependent antithrombotic actions. In comparison to direct antithrombin agents such as argatroban, at a comparable dose, B produced identical antithrombotic actions, which were disproportional to the systemic anticoagulant effects. A produced modest antithrombotic actions with minimal ex vivo clotting effects. This data is highly suggestive that compounds with dual targets are able to produce stronger antithrombotic actions relative to monotherapeutic agents. Additional studies in arterial thrombosis may provide newer insights into the antithrombotic actions of compounds with dual sites of action. Moreover, these agents may be more effective in thrombotic conditions where both platelets and the coagulation system are involved.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".