Modification of the Terminal Residue of Apelin-13 Antagonizes Its Hypotensive Action
Bibliographic record
Abstract
The apelin peptide is the endogenous ligand for the apelin G protein-coupled receptor. The distribution of the apelin peptides and receptor are widespread in the central nervous system and periphery, with reported roles in the hypothalamic-pituitary-adrenal axis, blood pressure regulation and as one of the most potent positive inotropic substances yet identified. In this report, we show that in native tissues preproapelin exists as a dimer. Dimeric preproapelin was reduced to monomers by dithiothreitol treatment, indicating disulfide linkages. To evaluate the role of the carboxyl-terminal phenylalanine in the hypotensive action of apelin-13, analogs were generated and tested for their role on blood pressure regulation. Injections of apelin-13 and apelin-12 (15 microg/kg) into spontaneously hypertensive rats lowered systolic and diastolic blood pressure to result in decreases of approximately 60% and 15% in mean arterial blood pressure, respectively. Apelin-13(13[D-Phe]) treatment did not differ from apelin-13 in either efficacy or duration of effect, whereas apelin-13(F13A) revealed a loss of function. However, concomitant administration of apelin-13(F13A) (30 microg/kg) blocked hypotensive effects of apelin-13 (15 microg/kg), which revealed that apelin-13(F13A) behaved as an apelin-specific antagonist.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".