PGE(2)-mediated eNOS induction in prolonged hypercapnia.
Bibliographic record
Abstract
PURPOSE: Because prostaglandins (PGs) are implicated in acute hypercapnia-induced hyperemia, this study was conducted to test the hypothesis that prolonged hypercapnia may cause a sustained increase in retinal blood flow (RBF) through a PG-dependent induction of endothelial nitric oxide synthase (eNOS). METHODS: Time-dependent RBF (microsphere technique), PGE(2), nitrite (NO(2)(-)), and NOS protein (reduced nicotinamide adenine dinucleotide phosphate [NADPH]-diaphorase staining) production were measured in hypercapnia (6% CO(2))-treated piglets. From the same species, PGE(2), eNOS mRNA, NOS protein, and vasomotor responses were measured in eyecup preparations, as were Ca(2+) transients in neuroretinovascular endothelial cells. RESULTS: Hypercapnia caused biphasic (at 0.5 hours and 6-8 hours) increases in RBF that were abolished with normalization of the pH. The early phase (0.5 hour) was associated with an increase in PGE(2) levels and the latter phase (6-8 hours) with an increase in NO(2)(-) and NOS protein. Inhibition of cyclooxygenase by diclofenac prevented the early and late increase in RBF. NOS inhibitor L-nitro-arginine prevented only the latter. Hypercapnic acidosis increased retinal PGE(2) levels and eNOS-dependent vasorelaxation ex vivo. The ex vivo time course of eNOS mRNA expression corresponded with the late-phase increase in RBF and was blocked by the transcription inhibitor actinomycin D and the receptor-operated Ca(2+) channel blocker SK&F96365. In neuroretinovascular cells, acidosis increased Ca(2+) transients, which were inhibited by SK&F96365, but not diclofenac. CONCLUSIONS: This study discloses a previously unexplored mechanism for late retinal hyperemia during sustained hypercapnia that appears secondary to the induced expression of eNOS mediated by PGE(2).
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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 | 0.001 |
| 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".