Structural changes in cerebral arteries following nitric oxide deprivation: a comparison between normotensive and hypertensive rats
Bibliographic record
Abstract
Chronic inhibition of nitric oxide (NO) synthesis with N(omega)-nitro-L-arginine methyl ester (L-NAME) has become a model of hypertension. The purpose of this study was to evaluate the morphological changes of cerebral arteries in rats with genetic hypertension and hypertension induced by chronic NO deprivation. Spontaneously hypertensive rats (SHR) and normotensive Wistar-Kyoto strain (WKY) were given L-NAME (1 mg.ml(-1)) from age 5 to 7 or 9 weeks. We assessed vascular remodelling and arteriolar injury score (AIS) in various cerebral arteries using different immunohistochemical staining techniques. In WKY and SHR, L-NAME caused an elevation in tail cuff pressure (TCP). The increase in TCP was larger in SHR than in WKY. L-NAME decreased body weight, but increased heart weight in SHR. The lumen diameter and media cross-section area of internal carotid artery (ICA) in SHR were smaller than those in WKY, and further reduced in SHR and WKY after L-NAME treatment. These findings indicate that cerebral vascular remodelling occurs following chronic hypertension either from genetic origin or NO deprivation. L-NAME increased the media thickness in SHR, but not in WKY. This agent also caused an increase in cell volume density, AIS, and inflammatory cells infiltration in perivascular space with a negative growth index in ICA. The media/lumen ratio was higher in SHR than WKY, and further increased following L-NAME treatment. Diversified vascular remodelling occurred in hypertensive rats, but not in untreated WKY. In summary, these results suggest that NO deprivation and genetic hypertension cause vascular changes in various cerebral arteries.
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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 | 0.001 | 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".