Fusion to Human Serum Albumin Extends the Circulatory Half-Life and Duration of Antithrombotic Action of the Kunitz Protease Inhibitor Domain of Protease Nexin 2
Bibliographic record
Abstract
BACKGROUND/AIMS: The Kunitz Protease Inhibitor (KPI) domain of protease nexin 2 (PN2) potently inhibits coagulation factor XIa. Recombinant KPI has been shown to inhibit thrombosis in mouse models, but its clearance from the murine circulation remains uncharacterized. The present study explored the pharmacokinetic and pharmacodynamic effects of fusing KPI to human serum albumin (HSA) in fusion protein KPIHSA. METHODS: Hexahistidine-tagged KPI (63 amino acids) and KPIHSA (656 amino acids) were expressed in Pichia pastoris yeast and purified by nickel-chelate chromatography. Clearance profiles in mice were determined, as well as the effects of KPI or KPIHSA administration on FeCl3-induced vena cava thrombus size or carotid artery time to occlusion, respectively. RESULTS: Fusion to HSA increased the mean terminal half-life of KPI by 8-fold and eliminated its interaction with the low density lipoprotein receptor-related protein. KPI and KPIHSA similarly reduced thrombus size and occlusion in both venous and arterial thrombosis models when administered at the time of injury, but only KPI was effective when administered one hour before injury. CONCLUSIONS: Albumin fusion deflects KPI from rapid in vivo clearance without impairing its antithrombotic properties and widens its potential therapeutic window.
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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) | 0.000 | 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) | 0.000 | 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".