Role of Endothelium in Abnormal Cannabidiol-Induced Vasoactivity in Retinal Arterioles
Bibliographic record
Abstract
PURPOSE: Cannabinoids have been reported to mediate changes in vascular resistance through endothelial receptor targets. We examined involvement of the endothelium in cannabinoid-mediated vasoactive responses in resistance arterioles of the retina. METHODS: Vascular responses to both intraluminal (IL) and extraluminal (EL) administration of the atypical cannabinoid, abnormal cannabidiol (abn-CBD), a prototypical agonist at the non-CB1/CB2 endothelial cannabinoid receptor (CBeR), were studied in endothelial intact and endothelial denuded, isolated perfused porcine retinal arterioles with and without endothelin-1 (ET-1) precontraction. The effects of AM251, a CB1 receptor antagonist, and O-1918, an analog of CBD reported to antagonize CBeR, were also studied. RESULTS: Dose-dependent vasocontractile responses were induced by both IL and EL administration of abn-CBD in the absence of precontraction. Significantly greater vasoconstriction was induced by IL administration of abn-CBD than with EL administration. In contrast, only vasodilation to abn-CBD was observed in ET-1 precontracted retinal arterioles. Endothelium removal significantly reduced abn-CBD-induced vasoactivity when abn-CBD was used IL but not when applied EL. IL abn-CBD-induced vasoactivity was antagonized by O-1918 and AM251. CONCLUSIONS: Cannabinoids show complex vasoactive actions in isolated perfused retinal arterioles. The fact that abn-CBD-mediated vasorelaxation was seen only in precontracted retinal vessels indicates that the abn-CBD-induced vasoactive response is highly dependent on vascular tone. Furthermore, IL and EL administration produced differential responses, and removal of endothelium blunted abn-CBD vasoactivity, highlighting the critical role of endothelium in abn-CBD vasoactivity. AM251 and O-1918 inhibition of abn-CBD-induced vasoactivity suggests the possibility of modulating abn-CBD-induced vasoactivity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".