Inhibition of Leukocyte and Platelet Aggregation <i>in vitro</i> by Antithrombin
Bibliographic record
Abstract
Glycosaminoglycan-mediated aggregation of cells occurs through adhesion mechanisms in which heparan sulfate chains bind to counter receptors on these cells. As antithrombin interacts with heparan sulfate proteoglycans through its heparin-binding domain and inhibits leukocyte adhesion in ischaemia/reperfusion, it may affect leukocyte aggregation. Leukocyte aggregation was therefore monitored in vitro as the increase in transmission of light through stirred suspensions in a platelet aggregometer. Aggregation curves were quantified as the area under the curve in the first 6 min following stimulation. Leukocytes in platelet-rich plasma were obtained from heparinized whole blood of healthy donors by centrifugation; the ratio of leukocytes to platelets was about 1:45, and the final concentration of autologous plasma was 80%. Neutrophils were purified by dextran sedimentation, density centrifugation, and hypotonic lysis of erythrocytes. Aggregation was induced by phytohaemaglutinin (0.24 mg/mL) or formyl-Met-Leu-Phe (0.2 x 10(-6) M), with or without various concentrations of antithrombin. During the observation period (6 min) no aggregation of leukocytes in platelet-rich plasma or isolated neutrophils could be induced either with medium or with antithrombin (0.2 x 10(0) to 0.2 x 10(-6) IU/mL). Addition of phytohaemagglutinin or formyl-Met-Leu-Phe stimulated aggregation of leukocytes in platelet-rich plasma and neutrophils to different extents. Additional presence of anti-thrombin significantly inhibited phytohaemagglutinin-induced aggregation of leukocytes in platelet-rich plasma, whereas formyl-Met-Leu-Phe-induced aggregation was not affected by antithrombin. Data show that in the presence of plasma and platelets, aggregation of normal white blood cells after stimulation with lectin but not with chemotaxin is inhibited by antithrombin, suggesting specific interactions of antithrombin with lectin-activated processes of neutrophil aggregation that occur in the presence of platelets and/or plasma.
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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 | 0.000 |
| 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 | 0.001 |
| 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".