Platelets may inhibit leucotriene biosynthesis by human neutrophils at the integrin level
Bibliographic record
Abstract
Polymorphonuclear leucocytes and blood platelets co-operate in several pathophysiological processes, and arachidonic acid (AA) metabolites produced in response to the activation of these cells are potent mediators of their functions. We studied the role of platelets in the formation of 5-lipoxygenase products from AA by autologous neutrophils, especially the chemotactic agent leucotriene (LT) B4. The formation of all products, namely 5-hydroxy-eicosatetraenoic acid (5-HETE), LTB4 and the other LTA4-derived metabolites, in response to the calcium ionophore A23187 was evaluated by high-performance liquid chromatography. All the 5-lipoxygenase products were significantly diminished by physiological concentrations of platelets. This inhibitory effect was lost when platelets were previously degranulated by thrombin in non-aggregating conditions. Peptides containing the Arg-Gly-Asp-Ser or His-His-Leu-Gly-Gly-Ala-Lys-Gln-Ala-Gly-Asp-Val sequence, which prevent the adhesion of platelets to neutrophils via the fibrinogen released from platelet granules and the integrin glycoprotein IIb/IIIa, markedly decreased the inhibitory effect of non-degranulated platelets. The production of transcellular metabolites of AA such as LTC4, the dual 5- and 12-lipoxygenase product 5,12-diHETE and lipoxins could not account for the decreased formation of 5-HETE and LTA4-derived metabolites. It is concluded that platelets may inhibit the neutrophil 5-lipoxygenase activity at the integrin level and in turn may play a role in slowing down the production of LTB4 in the course of inflammation.
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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) | 0.002 | 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".