Evidence that Rabbit <sup>125</sup> I-Antithrombin III Binds to Proteoheparan Sulphate at the Subendothelium of the Rabbit Aorta in vitro
Bibliographic record
Abstract
The endothelium of the rabbit thoracic aorta was removed from the vessel wall by one of two procedures, and the freshly exposed subendothelial surface was used for 125I-antithrombin III binding studies. Pretreatment of the subendothelium with either heparitinase or thrombin diminished the uptake of 125I-antithrombin III by up to 80%, whereas pretreatment with plasmin, hyaluronidase or FPR thrombin had little effect. Morphometric analysis of the subendothelium from enzyme-treated and -untreated tissues showed that, whereas plasmin, thrombin and heparitinase each caused a dramatic reduction of the large proteoglycan granules of the extracellular matrix, only exposure to heparitinase and thrombin caused a reduction in the small proteoglycans which populate the basement membrane of smooth muscle cells. Of the subendothelium-bound 125I-antithrombin III, more than 80% was efficiently removed by excess thrombin or by excess heparin. Evidence was obtained for the formation of high molecular weight thrombin-antithrombin III complexes. We conclude that antithrombin III binds largely to proteoheparan sulphate located in the basement membrane of the intimal smooth muscle cells for the purpose of inactivating certain proteases which arise during haemostatic change.
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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".