Induction de la sénescence endothéliale auriculaire par l'angiotensine II et la thrombine : rôle du stress oxydant et caractérisation du phénotype pro-thrombotique, pro-adhésif, protéolytique et pro-fibrotique
Bibliographic record
Abstract
Many studies documented strong relationship between ageing and development of atrial fibrillation (AF). Moreover, it has been found that senescence and senescence-associated- secretory-phenotype play an important role in development of overall atrial inflammation which can ultimately ends up in atrial structural remodeling paving the way to AF perpetuation and maintenance. Moreover, it has been known for decades that AF has been associated with the activation of local and circulating coagulation factors. However, little is known about the impact of coagulation-derived factors, in particular thrombin, on the onset of AF. The aim of the present study was to determine the link between atrial endothelial cells (AECs) senescence and the induction of pro-inflammatory, pro-adhesive, pro-fibrotic and pro-remodelling AECs patterns and also to evaluate the contribution of coagulation derived-factors such as thrombin.
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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 | 0.001 | 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".