Living myocardial slices retain patient-specific features: Insights into etiology and therapeutic history
Bibliographic record
Abstract
Background: findings correlate with clinical characteristics is unknown. This study aimed to evaluate whether LMS retain patient-specific functional and pathological characteristics, reflecting diverse etiologies, pharmacological regimens, and clinical interventions. Methods: = 138). Functional assessment of freshly prepared LMS included refractory period, stimulation threshold, force-frequency relationship, post pause potentiation, contractile force, alongside simultaneous optical recordings of calcium transients and action potentials. Variability and grouping analyses were conducted to identify features linked to patient-specific parameters, such as etiology and therapeutic history, including prior left ventricular assist device (LVAD) implantation and amiodarone usage. Results: LMS exhibited lower intrapatient variability (LMS from the same patient) compared to interpatient variability (LMS from different patients), confirming their ability to retain patient-specific functional properties. LMS from LVAD-treated patients exhibited reduced intrapatient variability and reduced diastolic tension, correlated with lower N-terminal pro-B-type natriuretic peptide levels. Stratification by etiology revealed distinct functional characteristics, including enhanced contractile force in titin-mutant LMS and a positive force-frequency relationship in ischemic cardiomyopathy-derived LMS. LMS derived from amiodarone-treated patients demonstrated prolonged action potential duration, reduced excitability at higher pacing frequencies, and enhanced post pause potentiation, reflecting the drug's established pharmacological effects. Conclusions: LMS effectively capture distinct functional parameters associated with patient-specific features. These findings establish LMS as a valuable translational platform for personalized cardiac research, therapeutic testing, and precision medicine.
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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".