Discovery of recently adopted orphan receptors for apelin, urotensin II, and ghrelin identified using novel radioligands and functional role in the human cardiovascular system
Bibliographic record
Abstract
Using novel synthetic radioligands, we have discovered receptors for the recently paired apelin (APJ orphan receptor), ghrelin (GHS orphan receptor), and urotensin II (orphan GPR14) in the human cardiovascular system and determined their anatomical localisation. In addition, we have established functional vasoactive properties for these three peptides as potential vasoconstrictor/vasodilator mediators and provided evidence for alteration of receptor density in cardiovascular disease. We find that receptors for apelin, ghrelin, and urotensin II are widely distributed in human cardiovascular tissue, suggesting perhaps vasoactive roles for these peptides in human vascular physiology and a potential role in pathophysiology. Apelin and urotensin II are potent vasoconstrictors with low efficacy, consistent with their low receptor density. Ghrelin receptor density was increased (approximately three- to fourfold) with atherosclerosis of coronary artery disease and accelerated atherosclerosis of saphenous vein grafts, compared with normal vessels, highlighting a potentially beneficial role for this novel vasodilator peptide in human vascular disease. Our approach has demonstrated one successful strategy for translating genetic information encoding recently paired orphan receptor ligands into discovery of function. This study has the advantage of focussing on the actual disease processes, which allow the more precise identification of novel therapeutic targets.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".