VEGF stimulation of endothelial cell PAF synthesis is mediated by group V 14 kDa secretory phospholipase A<sub>2</sub>
Bibliographic record
Abstract
1. Vascular endothelial growth factor (VEGF) is a potent inducer of inflammation, and we have shown that this latter effect is mediated through endothelial cell (EC) PAF synthesis. Since the phospholipid remodelling pathway enzymes (CoA-independent transacylase, CoA-IT; phospholipase A2, PLA2; and lyso-PAF acetyltransferase, lyso-PAF-AT) may participate in PAF synthesis, we assessed their contribution to VEGF-induced PAF synthesis in bovine aortic EC (BAEC) and human umbilical vein EC (HUVEC). 2. VEGF enhanced BAEC and HUVEC PAF synthesis by up to 28 and 4 fold above basal levels respectively. 3. A pretreatment with a CoA-IT and lyso-PAF-AT inhibitor (Sanguinarin; 500 nM) blocked VEGF-induced PAF synthesis by 95%, a specific CoA-IT inhibitor (SKF45905; 10 - 50 microM) was without effect, confirming the crucial role of the PLA2 and lyso-PAF-AT. 4. Treatment with secreted PLA2 (sPLA2) inhibitors which have been shown to inhibit both groups IIA and V sPLA2 (SB203347; 10 microM and LY311727; 100 microM) blocked EC PAF synthesis by up to 90%, whereas selective inhibition of group IIA sPLA2 (LY311727; 1 microM) had no significant effect. 5. RT - PCR and Western blot analyses demonstrated the presence of group V sPLA2 whereas group IIA sPLA2 was undetected in EC. 6. Treatment with cytosolic and calcium-independent PLA2 inhibitors (Arachidonyl trifluoromethyl ketone, Bromoenol lactone, Methyl arachydonyl fluorophosphate, up to 50 microM) did not prevent but rather potentiated the VEGF effect on EC PAF synthesis. 7. These results provide evidence that with VEGF activation of EC cells, the group V sPLA2 provides substrate for EC PAF formation.
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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 | 0.000 |
| 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".