Abstract 499: Development of a Novel Antithrombotic Therapy Targeting Platelet GPIbα: Assessment of Anfibatide In Vitro and in Phase I Clinical Trial
Bibliographic record
Abstract
Platelet adhesion and aggregation are critical for hemostasis and atherothrombosis. Interaction between the GPIb complex and VWF initiates platelet adhesion and contributes to complete vessel occlusion, particularly at sites of stenosis. However, no therapeutic targeting this pathway has been developed. Previously, we demonstrated in murine thrombosis models that Anfibatide, a snake venom-derived GPIbα antagonist, inhibited botrocetin-induced VWF-GPIbα binding and inhibited thrombus formation in vitro and in vivo, without significantly activating platelets or changing bleeding. We subsequently hypothesized that Anfibatide would be a safe and potent anti-thrombotic agent in humans. We tested Anfibatide with human platelets in vitro and conducted the first anti-GPIbα phase I clinical trial with 94 healthy volunteers. In vitro, Anfibatide inhibited ristocetin-induced and low dose thrombin-induced human platelet aggregation. Surface plasmon resonance studies showed that Anfibatide binds to GPIbα and blocks binding of both VWF A1 domain and thrombin. In ex vivo perfusion chambers, Anfibatide strongly inhibited human platelet adhesion, aggregation, and thrombus formation on a collagen-coated surface, especially at high shear flow conditions. Importantly, Anfibatide effectively dissolved the preformed thrombi in perfusion chambers. Anfibatide incubation with human whole blood did not significantly change coagulation parameters measured by thromboelastography. After treating volunteers with Anfibatide, no serious adverse events, premature discontinuations due to adverse events, or deaths occurred during the study. Anfibatide bound to 95% of GPIb and inhibited 90% of platelet aggregation without prolonging activated partial thromboplastin time, prothrombin time, thrombin time, or bleeding time. There was no bleeding tendency, no alteration of platelet count, and no detectable anti-Anfibatide antibodies. In conclusion, Anfibatide provides anti-thrombotic effects through inhibition of both GPIbα-VWF and GPIbα-thrombin interactions. These results demonstrate that Anfibatide is a safe and potent anti-platelet reagent with great potential for future anti-thrombotic therapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".