Inhibition of iNOS augments cardiovascular action of noradrenaline in streptozotocin-induced diabetes
Bibliographic record
Abstract
OBJECTIVE: The aim was to determine if inducible nitric oxide synthase (iNOS) contributes to depressed cardiovascular function at the acute phase of streptozotocin-induced diabetes. METHODS: Male Wistar rats were injected with streptozotocin [60 mg/kg, intravenously (i.v.)] or the vehicle (0.9% NaCl) and were studied 3 weeks later. RESULTS: The diabetic and control rats had similar mean arterial pressure (MAP) and total peripheral resistance (TPR). Noradrenaline (NA) increased in vivo left ventricular contractility (LV +dP/dt), MAP and TPR in both groups; however, the responses were markedly less in the diabetic than control rats. Acute administration of 1400W (selective inhibitor of iNOS; 3 mg/kg followed by 3 mg/kg/h, i.v.) did not alter responses to NA in the control rats, but augmented the influence of NA on MAP, TPR and LV +dP/dt in the diabetic rats. At this time, reverse transcription-polymerase chain reaction (RT-PCR) products (RNA) of iNOS were present in the hearts of the diabetic but not control rats. The activity of iNOS was threefold higher in the hearts of the diabetic rats relative to the controls, and the increase was inhibited by 1400W. Furthermore, immunostaining (proteins) of iNOS and nitrotyrosine (NT; marker of peroxynitrite) were identified in the hearts of the diabetic but not control rats. In contrast, the RT-PCR products of eNOS, activity of eNOS and immunostaining of eNOS were of similar intensity in the hearts of both groups. CONCLUSIONS: Activation of iNOS contributes to depressed cardiovascular contractile function to NA at the acute phase of streptozotocin-induced diabetes. Selective inhibition of iNOS partially restored cardiovascular responses to NA.
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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".