Another-regulin regulates cardiomyocyte calcium handling via integration of neuroendocrine signaling with SERCA2a activity
Bibliographic record
Abstract
Calcium (Ca 2+ ) dysregulation is a hallmark feature of cardiovascular disease. Intracellular Ca 2+ regulation is essential for proper heart function and is controlled by the sarco/endoplasmic reticulum Ca 2+ ATPase (SERCA2a). Another-regulin (ALN) is a newly discovered cardiomyocyte-expressed SERCA2a inhibitor, suggesting cardiomyocyte Ca 2+ -handling is more complex than previously appreciated. To study the role of ALN in cardiomyocytes, we generated ALN null mice (knockout, KO) and found that cardiomyocytes from these animals displayed enhanced Ca 2+ cycling and contractility compared to wildtype (WT) mice, indicating enhanced SERCA2a activity. In vitro and in vivo studies show that ALN is post-translationally modified via phosphorylation on Serine 19 (S19), suggesting this contributes to its ability to regulate SERCA2a. Immunoprecipitation and FRET analysis of ALN-WT, phospho-deficient ALN (S19A), or phosphomimetic ALN (S19D) revealed that S19 phosphorylation alters the SERCA2a-ALN interaction, leading to relief of its inhibitory effects. Adeno-associated virus mediated delivery of ALN-WT or phospho-mutant ALN-S19A/D in ALN KO mice showed that cardiomyocyte-specific expression of phospho-deficient ALN-S19A resulted in increased SERCA2a inhibition characterized by reduced rates of cytoplasmic Ca 2+ clearance compared to ALN-WT and ALN-S19D expressing cells, further supporting a role for this phosphorylation event in controlling SERCA2a-regulation by ALN. Levels of ALN phosphorylation were markedly increased in cardiomyocytes in response to Gα q agonists (angiotensin II, endothelin-1, phenylephrine) and Gα q -mediated phosphorylation of ALN translated to increased Ca 2+ cycling in cardiomyocytes from WT but not ALN KO mice. Collectively, these results indicate that ALN uniquely regulates Ca 2+ handling in cardiomyocytes via integration of neuroendocrine signaling with SERCA2a activity.
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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".