Electromechanical Alterations in the Cerebrovasculature of Stroke-Prone Rats
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Cerebrovascular pressure-dependent constriction (PDC) is associated with smooth muscle (SM) depolarization and Ca(2+) influx through voltage-gated channels. We studied the alterations in electromechanical contraction in the middle cerebral arteries (MCAs) of stroke-prone Wistar-Kyoto spontaneously hypertensive rats (SHRsp) in relation to the stroke-related loss of PDC. METHODS: Constriction to pressure, elevated [K(+)](o) and/or [Ca(2+)](o), and SM membrane potentials (E(m)) were measured in isolated pressurized MCAs of SHRsp and stroke-resistant SHR. RESULTS: MCAs of SHRsp exhibited an age-related decrease in PDC before hemorrhagic stroke and a loss of PDC after stroke. At 100 mm Hg, the MCAs of poststroke SHRsp maintained partial constriction that was not altered with pressure but was inhibited by nifedipine (1 micromol/L). The MCAs of poststroke SHRsp constricted to vasopressin (0.17 micromol/L) but not to elevated [K(+)](o). When pressure was reduced from 100 to 0 mm Hg, the MCAs from young prestroke SHRsp exhibited SM hyperpolarization (-38 to -46 mV), whereas those of poststroke SHRsp maintained a constant, depolarized E(m) (-34 mV). Alterations in E(m) with varying [K(+)](o) suggested that there was a decrease in SM K(+) conductance in the MCAs of poststroke SHRsp. CONCLUSIONS: The observation that the MCAs of poststroke SHRsp depolarize but do not constrict to elevated [K(+)](o) suggests the presence of dysfunctional voltage-gated Ca(2+) channels. The inability to alter E(m) with pressure or to constrict to depolarization could partially contribute to the loss of PDC in the MCAs of poststroke SHRsp.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".