hTERT overexpression delays replicative senescence but not damage‐induced senescence of vascular endothelial cells isolated from patients with severe CAD
Bibliographic record
Abstract
Overexpression of the catalytic subunit of telomerase (hTERT) immortalizes healthy human endothelial cells (EC) but its effect on senescence in pathological conditions is unknown. Our objective was to investigate whether hTERT overexpression would prevent senescence in EC isolated from patients with coronary artery disease (CAD). EC isolated from discarded internal mammary arteries of 11 patients undergoing CABG were infected or not with a lentivirus expressing hTERT and cultured in vitro . We quantified senescence by cytochemical detection of senescence‐associated b‐galactosidase, hTERT activity by real‐time TRAPassay, telomere length by Southern blotting, mRNA levels (p21 and ATM, a DNA damage response protein) by qPCR and oxidative stress by immunostaining of lipid peroxidation (HNE). Compared to control EC, lentiviral infection increased hTERT activity (p<0.05), elongated telomeres (p<0.05), decreased ATM and p21 mRNA levels (p<0.05), increased EC replicative potential (p<0.05) but only delayed the onset of senescence (p<0.05). HNE levels increased in both groups, with time (p<0.05). In conclusion, since no immortalization was observed, we hypothesize that hTERT overexpression delays replicative senescence but cannot bypass stress‐induced senescence associated with CAD. This study was supported by the Canadian Institutes of Health Research and the Fonds de la Recherche en Santé du Québec.
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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) | 0.001 | 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".