Mechanism of Catalysis of Inhibition of Factor IXa by Antithrombin in the Presence of Heparin or Pentasaccharide
Bibliographic record
Abstract
Because of the homology between factor IXa and factor Xa (f.IXa and f.Xa, respectively), and the critical upstream position of f.IXa in the coagulation cascade, the contribution of the heparin-derived pentasaccharide to antithrombin-mediated inhibition of f.IXa was investigated. Pentasaccharide promotes inhibition of both f.IXa and f.Xa generated in recalcified plasma. This result demonstrates that antithrombin is the predominant inhibitor of f.IXa in plasma, and that the activity of antithrombin is promoted by pentasaccharide. Kinetic experiments reveal that pentasaccharide increases the rates of antithrombin-mediated inhibition of both f.IXa and f.Xa by 2 orders of magnitude. These findings indicate that pentasaccharide-induced conformational changes in antithrombin enhance its capacity to inhibit both f.IXa and f.Xa. In the presence of Ca2+, full-length heparin produces an additional approximately 10-fold increase in the rates of inhibition of both enzymes, consistent with a template role of heparin. Heparin binding to f.Xa was previously shown to be promoted in the presence of Ca2+. Binding studies with f.IXa reveal a 10-fold higher affinity for heparin in the presence of Ca2+ compared with its absence. Thus, Ca2+ promotes heparin-catalyzed inhibition of f.IXa and f.Xa by antithrombin by augmenting the template mechanism. These results indicate that heparin-mediated catalysis of f.IXa inhibition by antithrombin reflects both pentasaccharide-induced conformational changes and heparin-mediated bridging of antithrombin to f.IXa. Furthermore, our data suggest that the efficacy of pentasaccharide for prevention and treatment of thrombotic disorders may reflect its action at two sites in the coagulation system.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".