Roles of Thermal Instability and Proteolytic Cleavage in Regulation of Activated Thrombin-activable Fibrinolysis Inhibitor
Bibliographic record
Abstract
We have used site-directed mutagenesis and a recombinant expression system for thrombin-activable fibrinolysis inhibitor (TAFI) in order to identify the thrombin cleavage site in activated TAFI (TAFIa) and to determine the relative contribution of proteolytic cleavage and thermal instability in regulation of TAFIa activity in clots. Arg-330 of TAFIa had been proposed to be the thrombin cleavage site based on studies with trypsin, but mutation of this residue to Gln did not prevent thrombin-mediated cleavage nor did mutation to Gln of the nearby Arg-320 residue. However, mutation of Arg-302 to Gln abolished thrombin-mediated cleavage of TAFIa. All TAFIa variants were susceptible to plasmin cleavage. Interestingly, all Arg to Gln substitutions decreased the thermal stability of TAFIa. The antifibrinolytic potential of the TAFI mutants in vitro correlates with the thermal stability of their respective TAFIa species, indicating that this property plays a key role in regulating the activity if TAFIa. Incubation of TAFIa under conditions that result in complete thermal inactivation of the enzyme accelerates subsequent thrombin- and plasmin-mediated cleavage of TAFIa. Moreover, the extent of cleavage of TAFIa by thrombin does not affect the rate of decay of TAFIa activity. Collectively, these studies point to a role for the thermal instability, but not for proteolytic cleavage, of TAFIa in regulation of its activity and, thus, of its antifibrinolytic potential. Finally, we propose a model for the thermal instability of TAFIa.
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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) | 0.001 | 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 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".