Platelet Aggregation and Adenosine Diphosphate/Adenosine Triphosphate Receptors: A Historical Perspective
Bibliographic record
Abstract
The work of many investigators since adenosine diphosphate (ADP) was recognized as a platelet aggregating agent in 1961 has led to an appreciation of the important part that ADP plays in hemostasis and thrombosis. Recently, interest has focused on the platelet receptors for ADP and adenosine triphosphate (ATP). Platelets are unique because they have two P2Y receptors that must act in concert to achieve a normal aggregation response. The P2Y (1) receptor is responsible for mobilizing internal calcium, platelet shape change, and weak aggregation. The P2Y (12) receptor inhibits adenylyl cyclase, but the concentration of cyclic AMP is reduced only if it has been raised from its low basal levels by stimulation of adenylyl cyclase by an aggregation inhibitor such as adenosine or prostaglandin I (2). The abnormal bleeding of the rare patients whose platelets lack P2Y (12) and the beneficial clinical effects of ticlopidine and clopidogrel that block this receptor indicate that P2Y (12), in addition to inhibiting adenylyl cyclase, may have an as yet unidentified role that is needed for its cooperative aggregation effect with P2Y (1). ATP stimulates a rapid influx of calcium into platelets through the P2X (1) receptor, and it may synergize with ADP when these two nucleotides are released from platelets at a site of vessel injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".