Abstract 119: Nebivolol Suppresses Hypoxic-Induced Rat Thoracic Aortic Smooth Muscle Cell Apoptosis by a Mechanism Involving Nitric Oxide Production, HSP70 Upregulation and Inhibition of P53 Phosphorylation
Bibliographic record
Abstract
Aneurysmal degeneration of the ascending aortic artery is a common and frequently lethal disease process. Localized hypoxic-induced aortic smooth muscle cell (SMC) apoptosis, a factor amenable to medical intervention, has been reported to participate in the pathogenesis of ascending aortic aneurysm formation (ASAA. β-adrenergic blockers are the drugs most commonly used in the treatment of ASAA. The aim of this study was to investigate the effects of the new third-generation β-blocker nebivolol (NB) on hypoxic-induced smooth muscle cell apoptosis and to characterize the mechanisms activated in this NB action. Treatment of cultured rat thoracic aortic SMC, with NB (10 μM) compared to diluent (100 μM Ascorbic acid) (AA) for 1 hr attenuated hypoxic (5%C02/95%N2) apoptosis as measured by decreases in TUNEL positive staining (15.3+2.3 (AA) vs 5.6+1.2 (NB) % apoptotic nuclei, p<0.05), caspase-3 activity (91.3+2.4 (AA) vs 72.1+0.8 (NB) μmol/mL, p<0.05), the apoptotic ratio of bax/bcl-2 mRNA expression (1.37+0.14 (AA) vs 0.82+0.11 (NB) fold-change, p<0.05), pro-apoptotic miR1 (2.9+0.35 (AA) vs 1.18+0.22 (NB) fold change, p<0.05), and increased anti-apoptotic miR133A (0.74+0.17 (AA) vs 2.3+0.42 (NB) fold change, p<0.05), n=8-10/group. The NB-induced decrease in hypoxic SMC apoptosis was associated with a 5.5 fold increase in nitric oxide (NO) production as quantified by the ratio of Nitrate/Nitrite, a 2.5-3.2 fold increase in Hsp70 mRNA and protein as measured by RT-PCR and Western analysis respectively, and an attenuation of p53 phosphorylation. Blockade of NO production by L-NAME, or siRNA HSP70 knock down, resulted in an increase in p53 phosphorylation and prevented the NB-induced antiapoptotic response of hypoxic SMC. The beneficial pro-survival response of NB in hypoxic thoracic aortic SMCs makes this novel β-blocker clinically relevant in the treatment of ASAA.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".