Orally administered heparins prevent arterial thrombosis in a rat model
Bibliographic record
Abstract
Our previous studies demonstrated that orally administered heparins prevent thrombosis in a rat jugular vein thrombosis model, where bovine unfractionated heparin (UFH) and the low molecular weight heparin tinzaparin reduced thrombotic incidence by 50% at 7.5 and 0.1 mg/kg, respectively. Our objectives were to determine if similar antithrombotic effects of oral heparin could be observed in an arterial thrombosis model. In this model, filter paper soaked in 30% ferric chloride was applied to the exposed rat carotid artery. A flowmeter recorded blood flow over a 60 min period determining time when the thrombus began forming (TTB) and time till occlusion (TTO). Immediately following, the thrombus was removed, dried and weighed 24 h later. Bovine UFH (7.5 mg/kg), tinzaparin (0.1 mg/kg) or saline was administered by stomach tube at 2, 5 and 25 h prior to thrombus initiation. TTB was significantly increased when UFH was given at 5 and 25 h but not 2 h prior, and when tinzaparin was given at 5 but not 2 or 25 h prior compared to rats given oral saline. TTO was significantly increased for both UFH and tinzaparin when given 5 and 25 h but not 2 h prior (one-way ANOVA). There was no difference in TTO and TTB between UFH and tinzaparin treated groups. A trend in reduction in thrombus weight was observed for UFH at 5 and 25 h prior and tinzaparin at 5 h prior to thrombus initiation (one-way ANOVA). Although no significant changes were observed in activated partial thromboplastin times, Heptest or anti-Xa activity from plasma of heparin treated rats, endothelial heparin concentrations were significantly greater than controls for UFH at 5 h and for tinzaparin at 2, 5, and 24 h. Thus, heparins administered by the oral route are effective antithrombotic agents in arterial as well as venous models.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".