Proteolytic processing of human coagulation factor IX by plasmin
Bibliographic record
Abstract
Previous studies have shown that thrombin generation in vivo caused a 92% decrease in factor IX (F.IX) activity and the appearance of a cleavage product after immunoblotting that comigrated with activated F.IX (F.IXa). Under these conditions, the fibrinolytic system was clearly activated, suggesting plasmin may have altered F.IX. Thus, the effect(s) of plasmin on human F.IX was determined in vitro. Plasmin (50 nM) decreased the 1-stage clotting activity of F.IX (4 microM) by 80% and the activity of F.IXa (4 microM) by 50% after 30 minutes at 37 degrees C. Plasmin hydrolysis of F.IX yields products of 45, 30, 20, and 14 kd on reducing sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and 2 products of 52 and 14 kd under nonreducing conditions. Plasmin-treated F.IX did not bind the active site probe, p-aminobenzamidine, or form an SDS-stable complex with antithrombin. It only marginally activated human factor X in the presence of phospholipid and activated factor VIII. Although dansyl-Glu-Gly-Arg-chloromethyl ketone inactivated-F. IXa inhibited the clotting activity of F.IXa, plasmin-treated F.IX did not. Plasmin cleaves F.IX after Lys43, Arg145, Arg180, Lys316, and Arg318, but F.IXa is not appreciably generated despite cleavage at the 2 normal activation sites (Arg145 and Arg180). Tissue plasminogen activator-catalyzed lysis of fibrin formed in human plasma results in generation of the 45- and 30-kd fragments of F.IX and decreased F.IX clotting activity. Collectively, the results suggest that plasmin is able to down-regulate coagulation by inactivating F.IX.
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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 | 0.000 |
| 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 | 0.001 |
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".