Anticoagulant Mechanisms of Orgaran (Org 10172) and Its Fraction with High Affinity to Antithrombin III (Org 10849)
Bibliographic record
Abstract
Orgaran (Org 10172), which has antithrombotic activity in man with apparently minimal bleeding side effects, is a mixture of low-molecular-weight heparan, dermatan, and chondroitin sulfates. The degrees to which the minimum concentrations of Orgaran, its fraction with high affinity for antithrombin III (Org 10849; AT III) and unfractionated heparin, which double the activated partial thromboplastin time (APTT) of pooled normal plasma, inhibit intrinsic activation of factor IX, factor X, and prothrombin were compared. Specific ELISAs were used to quantify the activation of each clotting factor. Factor IX activation, which began without a lag phase, preceded factor X and prothrombin activation by approximately 15 and approximately 25 s, respectively. When used at these functionally equivalent concentrations, heparin (2 micrograms/ml plasma), Orgaran (50 micrograms/ml plasma), and Org 10849 (20 micrograms/ml) could delay the onset of factor IX activation. Compared to control plasma, however, only Orgaran reduced the initial rate of factor IX activation. Heparin and Orgaran delayed the onset of factor X activation by 20 and 15 s, respectively, while Org 10849 could not delay the onset of factor X activation. In addition, each anticoagulant delayed the onset of prothrombin activation. Thus, at concentrations which double the APTT of normal plasma, the combined actions of heparan and dermatan sulfate present in Orgaran can apparently suppress factor IX activation more effectively than heparin, and delay the onset of factor X activation nearly as effectively as heparin. The coordinated inhibition of factor IX and factor X activation by Orgaran may contribute to its antithrombotic effectiveness.
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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 | 0.001 | 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 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".