Bicelle composition-dependent modulation of phospholipid dynamics by apelin peptides
Bibliographic record
Abstract
Apelin peptides are cognate ligands for the apelin receptor, a G-protein-coupled receptor (GPCR). The apelinergic system plays critical roles in wide-ranging physiological activities including function and development of the central nervous and cardiovascular systems. Apelin is found in 13–55 residue isoforms in vivo, all of which share the C-terminal portion of the preproapelin precursor. Characterization of high-resolution structures and detergent micelle interactions of apelin-17 led to a two-step membrane-catalyzed binding and GPCR activation mechanism hypothesis recapitulated in longer isoforms. Here, we examine interactions of the apelin-13 and -17 isoforms with isotropic zwitterionic and mixed zwitterionic–anionic lipid bicelles to test for hallmarks of membrane catalysis in a more physiological membrane-mimetic environment than a micelle. Specifically, 1H and 31P relaxation and diffusion solution-state NMR techniques demonstrate that both apelin isoforms interact with both types of isotropic bicelles. Bicelle hydrodynamics were observed to be differentially modulated by apelin peptides, although these effects were minimal. Phospholipid headgroup 31P spin relaxation behaviour was, conversely, clearly perturbed. Perturbation of this nature was also observed in magnetically aligned bicelles by 31P solid-state NMR spectroscopy and spin relaxation experiments. This behaviour is consistent with an apelin–bicelle binding process allowing significant peptide mobility, facilitating membrane-catalyzed GPCR encounter.
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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 | 0.000 |
| 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".