L‐NAME Induces Direct Arteriolar Leukocyte Adhesion, Which Is Mainly Mediated by Angiotensin‐II
Bibliographic record
Abstract
OBJECTIVE: Acute inhibition (1 h) of nitric oxide synthase (NOS) with L-NAME causes leukocyte recruitment in the rat mesenteric postcapillary venules that is angiotensin-II (Ang-II) dependent. Since 4-h exposure to Ang-II provokes arteriolar leukocyte adhesion, this study was designed to investigate whether subacute (4-h) NOS inhibition also causes this effect. METHODS: Rats were intraperitoneally injected with saline, L-NAME, or 1H-[1,2,4]-oxidazolol-[4,3-a]-quinoxalin-1-one (ODQ). Leukocyte accumulation in the mesenteric microcirculation was examined 4 h later via intravital microscopy. Some groups were pretreated with losartan, an AT(1) Ang-II receptor antagonist. RESULTS: At 4-h, L-NAME caused a significant increase in arteriolar leukocyte adhesion and leukocyte-endothelial cell interactions in postcapillary venules. Mononuclear cells were the predominant leukocytes attached to the arteriolar endothelium. Administration of losartan inhibited L-NAME-induced arteriolar leukocyte adhesion by 90%. L-NAME provoked increased expression of P-selectin, E-selectin, ICAM-1, and VCAM-1 in arterial endothelium, which was attenuated by losartan pretreatment. Inhibition of guanylyl cyclase with ODQ mimicked the effects exerted by L-NAME and losartan also reduced these effects. CONCLUSIONS: NOS inhibition for 4-h results in the attachment of leukocytes to the arterial endothelium, a critical event in disease states such as hypertension and atherosclerosis, which could be prevented by the administration of AT(1)Ang-II receptor antagonists.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".