Anfibatide, a novel GPIb complex antagonist, inhibits platelet adhesion and thrombus formation in vitro and in vivo in murine models of thrombosis
Bibliographic record
Abstract
Platelet adhesion and aggregation at the sites of vascular injury are key events for thrombosis and haemostasis. It has been well demonstrated that interaction between glycoprotein (GP) Ibα and von Willebrand factor (VWF) initiates platelet adhesion and contributes to platelet aggregation, particularly at high shear. GPIb has long been suggested as a desirable antithrombotic target, but anti-GPIb therapy has never been successfully developed. Here, we evaluated the antithrombotic potential of Anfibatide, a novel snake venom-derived GPIb antagonist.We found Anfibatide inhibited washed murine platelet aggregation induced by ristocetin and recombinant murine VWF. It also blocked botrocetin-induced binding of murine plasma VWF to recombinant human GPIbα. Interestingly, Anfibatide did not inhibit botrocetin-induced aggregation of platelet-rich plasma, indicating that its binding site may differ from other snake venom-derived GPIb antagonists. Anfibatide strongly inhibited platelet adhesion, aggregation, and thrombus formation in perfusion chambers at high shear conditions and efficiently dissolved preformed thrombi. Anfibatide also inhibited thrombus growth at low shear conditions, though less than at high shear. Using intravital microscopy, we found that Anfibatide markedly inhibited thrombosis in laser-injured cremaster vessels and prevented vessel occlusion in FeCl3-injured mesenteric vessels. Importantly, Anfibatide further inhibited residual thrombosis in VWF-deficient mice, suggesting that Anfibatide has additional antithrombotic effect beyond its inhibitory role in GPIb-VWF interaction. Anfibatide did not significantly cause platelet activation, prolong tail bleeding time, or cause bleeding diathesis in mice. Thus, consistent with the data from an ongoing clinical trial, the data from this study suggests that Anfibatide is a potent and safe antithrombotic agent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".