Alterations in the modulation of cerebrovascular tone and blood flow by nitric oxide synthases in SHRsp with stroke
Bibliographic record
Abstract
AIMS: The modulation of myogenic function and cerebral blood flow (CBF) by nitric oxide (NO) synthases (NOS) was assessed in the middle cerebral arteries (MCAs) of Kyoto Wistar stroke prone hypertensive rats (SHRsp) in relation to haemorrhagic stroke development. METHODS AND RESULTS: MCAs were studied with a pressure myograph. CBF in MCA perfusion domain was measured using laser Doppler techniques. NOS isozymes were identified using immunohistochemistry. MCAs expressed endothelial, neuronal, and inducible NOS (eNOS, nNOS, and iNOS, respectively) in the endothelium, nNOS and traces of iNOS in smooth muscle and adventitial cells. Before stroke, MCA pressure-dependent constriction (PDC) was superimposed over basal non-pressure-dependent tone (BNPDT). Endothelial NO generation and non-endothelial nNOS but not iNOS reduced BNPDT and increased the lumen diameter at which PDC initiated without altering the amplitude of PDC. NOS inhibition decreased CBF and increased the upper blood pressure limit of autoregulation. PDC, CBF autoregulation, and NOS dilatory influence were lost, and BNPDT was increased in MCAs from SHRsp with stroke. The expression of NOS isozymes and MCA reactivity to NO donors was not altered. NOS activity was not recovered by in vitro l-arginine or tetrahydrobiopterin supplementation, l-arginase inhibition or superoxide scavengers. CONCLUSION: The loss of PDC and CBF autoregulation during hypertension may facilitate over-perfusion and cerebral haemorrhage formation in SHRsp. NOS dysfunction in MCAs preceded stroke and involved the inactivation of eNOS and nNOS in areas not subjected to hyper-distension. The elevation in BNPDT due to NOS inactivation may oppose over-perfusion in the absence of CBF autoregulation.
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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 | 0.000 |
| 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".