Abstract 622: Load-Independent Systolic Dysfunction and Altered Z-Disc Protein Phosphorylation in Swine with Stretch-Induced Myocardial Stunning
Bibliographic record
Abstract
Objective: We recently demonstrated that a transient rise in left ventricular (LV) preload leads to a reversible reduction in LV ejection fraction in the absence of ischemia (“stretch-induced stunning”). The present study was designed to determine whether this phenomenon is characterized by impaired load independent LV systolic function and alterations in sarcomeric protein phosphorylation. Methods: Swine (n=9) received a 1 hour infusion of phenylephrine (PE; 18 mg/hour iv) to transiently elevate LV end-diastolic pressure (EDP). Load independent systolic function was derived from LV pressure volume loops collected during inferior vena cava occlusion at baseline and 30 min after PE (Transonic SciSense). In a subset of animals (n=5), LV tissue was collected 1 hour after PE for TMT-labeled, LC-MS-based quantitative phosphoproteomics using Orbitrap. Results: PE elicited a rise in LV EDP (9±2 to 29±3 mmHg, p<0.01), followed by a reduction in LV ejection fraction and LV dP/dt max 30 min later. At this time, load independent indices of LV systolic function tended to exhibit a reduced slope with a significant rightward shift of the volume-axis intercept (V 0 ), indicative of decreased contractility ( Table ). This was accompanied by altered phosphorylation of 16 sarcomeric Z disc proteins at 27 phosphosites, including increased phosphorylation of α actinin, α crystallin B chain, desmin, and myotilin. Conclusions: Stretch-induced stunning following transient preload elevation is characterized by load independent systolic dysfunction. Phosphoproteomics implicate alterations in Z disc protein phosphorylation as a mechanism underlying contractile dysfunction in this condition.
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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".