Characterization of human living myocardial slices culture-induced adaptations: a translational perspective
Bibliographic record
Abstract
Heart failure involves complex pathophysiological processes, best studied in multicellular human cardiac tissues that reflect the native cellular composition and microenvironment. However, maintaining primary cells and tissues in culture for extended periods remains challenging. Developing robust human cardiac models is critical for advancing preclinical research and bridging the gap to clinical applications. This study aims to characterize adaptations occurring in human living myocardial slices (LMS) during ex vivo culture. During culture, LMS demonstrated progressive enhancements in contractile function including stronger force generation, reduced diastolic tension, and faster contraction-relaxation kinetics. However, excitability and force-frequency response decreased over the same period. Cultured LMS showed enhanced calcium handling, including increased ability to follow pacing, higher amplitude, and faster, more stable calcium re-uptake. Structurally, LMS displayed no changes in sarcomeres, cell-cell connections, or mitochondria, despite gene expression changes in cytoskeletal and extracellular matrix-related pathways. Transcriptomic analysis revealed metabolic activation with upregulation of metabolism-related pathways. Interestingly, LMS exhibited increased expression of genes associated with early cardiac development after the culture period. LMS provide a powerful translational model for cardiovascular research, enabling the evaluation of novel therapies and fundamental studies. However, culture-induced adaptations must be carefully considered when interpreting results to ensure physiological and disease relevance.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".