Angiopoietin‐1 activates both anti‐ and proapoptotic mitogen‐activated protein kinases
Bibliographic record
Abstract
In this study, we identified whether mitogen-activated protein kinases (MAPKs) mediate the effects of angiopoietin-1 (Ang-1) on endothelial cell apoptosis. Exposure of human umbilical vein endothelial cells to Ang-1 (300 ng/ml) evoked within 15-30 min a 15-fold and a 5-fold increase in phosphorylation of ERK1/2 and p38 MAPKs, respectively. Inhibitors of the PI-3 kinase pathway attenuated Ang-1-induced ERK1/2 phosphorylation at a level up-stream from Raf and MEK1/2, but these inhibitors augmented Ang-1-induced p38 phosphorylation. When serum and growth supplements were withdrawn, the percentage of endothelial apoptosis tripled over 24 h compared with control cells. The presence of Ang-1 (300 ng/ml) significantly attenuated endothelial cell apoptosis and inhibited caspase-9, -7, and -3 activation. These antiapoptotic effects were augmented when a p38 inhibitor was combined with Ang-1, whereas inhibition of ERK1/2 eliminated the antiapoptotic properties of Ang-1. We conclude that both anti- (ERK1/2) and pro- (p38) apoptotic members of MAPKs are simultaneously activated by Ang-1 in endothelial cells and that activation of ERK1/2 by Ang-1 is mediated through the PI-3 kinase pathway. The strong antiapoptotic effects of the ERK and the PI-3 kinase pathways mask the proapoptotic function of p38 MAPKs resulting in net attenuation of apoptosis by Ang-1.
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 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".