The effects of propofol on vascular function in mesenteric arteries of the aging rat
Bibliographic record
Abstract
Hypotension following administration of propofol, an anesthetic agent, is strongly predicted by advanced age and is partly due to direct vasodilation. We hypothesized that propofol increases nitric oxide (NO)-mediated vasodilation by enhancing its bioavailability in the aged adult vasculature, leading to greater vasodilation than in the young adult. Small mesenteric arteries from rats aged 13-15 versus 3 to 4 mo were compared in this study. Reactivity to propofol (1-100 microM) alone and with the addition of acetylcholine (ACh; 0.1-10 microM) in endothelial-intact and dunuded arteries following phenylephrine constriction was assessed using myography. N(G)-nitro-L-arginine methyl ester (L-NAME) and meclofenamate (Meclo) were used to inhibit NO and prostaglandin synthesis, respectively. Superoxide dismutase (SOD) and catalase were used as antioxidants during ACh relaxation and were compared with propofol in aging arteries. Propofol alone induced greater relaxation in 1) endothelial-intact compared with denuded arteries and 2) aged compared with young arteries, which were inhibited by L-NAME. ACh-induced relaxation was greater in young compared with aged control arteries; however, propofol pretreatment increased this relaxation in aged but not in young arteries. Additionally, propofol inhibited ACh-induced relaxation in arteries treated with L-NAME + Meclo [relaxation attributed to endothelium-derived hyperpolarizing factor (EDHF)]. Pretreatment with SOD and catalase increased relaxation to ACh in aged arteries similar to propofol. In conclusion, propofol causes relaxation in small mesenteric arteries in an endothelial-dependent and independent manner and increases ACh-induced relaxation in aged arteries. Interestingly, propofol inhibits EDHF-mediated relaxation but increases availability of NO, which leads to overall vascular relaxation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".