Apelins, ELABELA, and their derivatives: Peptidic regulators of the cardiovascular system and beyond
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The apelinergic system emerges as an important regulator of cardiovascular functions via its actions on the heart, vasculature, and kidney. It also possesses additional beneficial properties, via its actions on the pancreas and skeletal muscle, on type 2 diabetes. The apelinergic system distinguishes itself by the presence of two structurally distinct sets of endogenous ligands, the Apelins (–13, −17, and −36) and Elabela, which both activate the apelin (APJ) receptor. In the past decade, numerous peptidic ligands have been used to better understand the structure–activity relationship of apelin (and more recently Elabela), providing important tools to rationalize how ligand modifications impact receptor structure and dynamics as well as its downstream signaling. The recently disclosed structure of the apelin receptor in complex with an analogue of apelin‐17 provides an important tool in this quest. In this review, we first summarize the physiopharmacology of the apelinergic system, then, review existing knowledge on the various ligands of the apelin receptor with an emphasis on peptidic ligands, although small molecules are covered as well. Throughout this work, we tried to integrate existing knowledge of ligands’ pharmacological profiles with structure and signaling profile.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it