A Study of the Protection of Plasmin from Antiplasmin Inhibition within an Intact Fibrin Clot during the Course of Clot Lysis
Bibliographic record
Abstract
Previous work using soluble fibrin surrogates or very dilute fibrin indicate that inhibition of plasmin by antiplasmin is attenuated by fibrin surrogates; however, this phenomenon has not been quantified within intact fibrin clots. Therefore, a novel system was designed to measure plasmin inhibition by antiplasmin in real time within an intact clot during fibrinolysis. This was accomplished by including the plasmin substrate S2251 and a recombinant fluorescent derivative of plasminogen (S741C-fluorescein) into clots formed from purified components. Steady state plasmin levels were estimated from the rates of S2251 hydrolysis, the rates of plasminogen activation were estimated by fluorescence decrease over time, and residual antiplasmin was deduced from residual fluorescence. From these measurements, the second order rate constant could be inferred at any time during fibrinolysis. Immediately after clot formation, the rate constant for inhibition decreased 3-fold from 9.6 x 10(6) m(-1) s(-1) measured in a soluble buffer system to 3.2 x 10(6) m(-1) s(-1) in an intact fibrin clot. As the clot continued to lyse, the rate constant for inhibition continued to decrease by 38-fold at maximum. To determine whether this protection was the result of plasmin exposure of carboxyl-terminal lysine residues, clots were formed in the presence of activated thrombin-activatable fibrinolysis inhibitor (TAFIa). In the presence of TAFIa, the initial protective effect associated with clot formation occurred; however, the secondary protective effect associated with lysine residue exposure was delayed in a TAFIa concentration-dependent manner. This latter effect represents another mechanism whereby TAFIa attenuates fibrinolysis.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".