Molecular Mechanisms of Neutrophils Adhesion to ECV304 Induced by Hypoxia-Reoxygenation
Bibliographic record
Abstract
Aim To investigate the signal transduction of neutrophils adhesion to human umbilical vein endothelial cells (hUVEC, ECV304) induced by hypoxia/reoxygenation. Methods The adhesion model was reproduced by hypoxia/ reoxygenation. The adhesion rate of neutrophils to ECV304 was determined by color matching. The expression of endothelial cell adhesion molecules of E-selectin and intercellular adhesion molecule-1 (ICAM-1) was measured with flow cytometry. The expression of cyclophilin A and the activation of extracellular signal-regulated kinase (ERK1/2) and p70 ribosomal S6 kinase (p70 S6K) were compared among experimental groups by western blot. Results After stimulation with 1 h hypoxia/4 h reoxygenation, ECV304 showed an enhanced neutrophil adhensivity in the association with an increased surface expression of E-selectin and ICAM-1. Furthermore, the expression of cyclophilin A increased significantly following 1 h hypoxia/4 h reoxygenation, which was accompanied with an increased activation of ERK1/2 and p70 S6K. Treatment with cyclophilin A inhibitor cyclosporin A and cyclophilin A antisense oligodeoxynucleotides significantly inhibited the activation of ERK1/2 and p70 S6K and decreased the adhesion of neutrophils to ECV304. p70 S6K antagonist rapamycin also significantly decreased the adhesion of neutrophils to ECV304. The specific ERK1/2 inhibitor PD98059 showed inhibition to neutrophils adhesion to hypoxia/reoxygenation-stimulated ECV304. Conclusions Cyclophilin A-ERK1/2-p70 S6K pathway is involved in the adhesion of neutrophils to ECV304 induced by hypoxia/reoxygenation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".