Effect of fasudil on macrovascular disorder-induced endothelial dysfunction
Bibliographic record
Abstract
The present study has been designed to investigate the effect of fasudil (Rho-kinase inhibitor) in hypercholesterolemia- and hypertension-induced endothelial dysfunction. High fat diet (8 weeks) and desoxycortisone acetate (DOCA) (40 mg.kg-1) were administered (s.c.) to rats to produce hypercholesterolemia and hypertension (mean arterial blood pressure > 120 mmHg), respectively. Endothelial dysfunction was assessed using isolated aortic ring, electron microscopy of thoracic aorta, and serum concentration of nitrite/nitrate. The expression of mRNA for p22phox and eNOS was assessed by using RT-PCR. Serum thiobarbituric acid reactive substances concentration and aortic superoxide anion concentration were estimated to assess oxidative stress. Fasudil (30 mg.kg-1, p.o.) and atorvastatin (30 mg.kg-1, p.o.) treatments markedly prevented hypercholesterolemia- and hypertension-evoked attenuation of acetylcholine-induced endothelium-dependent relaxation, impairment of vascular endothelial lining, decrease in expression of mRNA for eNOS and serum nitrite/nitrate concentration, and an increase in expression of mRNA for p22phox, superoxide anion, and serum thiobarbituric acid reactive substances. The ameliorative effect of fasudil was prevented by L-NAME. In conclusion, fasudil-induced inhibition of Rho-kinase may improve hypercholesterolemia- and hypertension-induced endothelial dysfunction.
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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) | 0.001 | 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".