Apoprotein (A) antagonises THE GPIIB/IIIA receptor on collagen and ADP-stimulated human platelets
Bibliographic record
Abstract
The nature of the lipoprotein (a) (Lp(a))/agonist-stimulated platelet interaction is unclear. The objective was to determine whether Lp(a) inhibits platelet aggregation by displacing fibrinogen from the platelet GPIIb/IIIa receptor. Platelets were washed in Tyrode's buffer and stimulated using 10 micromolar ADP or 2 micrograms/ml collagen. Lp(a) was isolated from plasma using lectin affinity chromatography followed by ultracentrifugation. Lp(a) inhibited aggregation of collagen- and ADP-stimulated platelets with IC-50's of about 5 mg/dl. Lp(a) inhibited 125I-labeled fibrinogen binding to collagen-stimulated platelets with an IC-50 of less than 5 mg/dl. MAb 3B1, specific for apo(a), restored platelet aggregation to control levels, inhibited 125I-labelled Lp(a) binding, and increased 125I-labelled fibrinogen binding by displacing Lp(a) from the fibrinogen binding site. In conclusion, binding of Lp(a) results in displacement of fibrinogen from its receptor, leading to decreased platelet aggregation. This antagonism suggests a novel role for Lp(a) in modulating fibrinogen binding to the GPIIb/IIIa receptor on collagen- and ADP-stimulated platelets.
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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".