In the presence of <scp>L</scp>‐NAME SERCA blockade induces endothelium‐dependent contraction of mouse aorta through activation of smooth muscle prostaglandin H2/thromboxane A2 receptors
Bibliographic record
Abstract
1. The mechanism of transient contractions induced by the sarcoplasmic-endoplasmic reticulum calcium ATPase (SERCA) blocker cyclopiazonic acid (CPA) in the presence of L-NAME was investigated in mouse aorta. 2. The contractions elicited by 10 micro M CPA required an intact endothelium, were dependent upon external Ca(2+) and were prevented by 10 micro M indomethacin, the inhibitor of prostaglandin synthesis, or 1 micro M SQ29548, the specific prostaglandin H2/thromboxane A2 (PGH2/TXA2) receptor blocker. 3. A blocker of receptor/store operated Ca(2+) channels and voltage gated calcium channels (VGCC), SK&F 96365 (10 micro M), completely abolished the contractions, while a specific blocker of VGCC nifedipine (1 micro M) inhibited them by one third. 4. Dichlorobenzamyl hydrochloride, a blocker of Na(+)/Ca(2+) exchange effectively prevented return of tension to baseline value. 5. At higher concentrations (30-100 micro M) CPA induced indomethacin-resistant tonic contractions of mouse aorta. The CPA dose response curve for tonic contractions is shifted to the right compared to the transient contractions suggesting that smooth muscle is less sensitive to CPA than endothelium. 6. PGH2/TXA2 receptors in mouse aorta are highly sensitive to the thromboxane analogue U46619 (EC(50) : 1.93 nM). This compound stimulates contractions even in the absence of external Ca(2+), which are abolished by the Rho-kinase inhibitor HA-1077. 7. The results suggest that 10 micro M CPA induced capacitive Ca(2+) entry in endothelial cells stimulating the release of PGH2/TXA2, which subsequently caused smooth muscle contraction dependent on Ca(2+) influx and myofilament sensitization by Rho-kinase. Higher concentrations of CPA (30-100 micro M) directly induced contraction of mouse aortic smooth muscle.
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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 | 0.001 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".