Evaluation of drug-mediated arrhythmic changes in spontaneous beating cardiomyocytes by AFM
Bibliographic record
Abstract
Arrhythmia caused by drug-induced cardiotoxicity is among the leading reasons for late-stage drug attrition and is therefore a core subject in safety testing of new compounds. Alternative methods such as surface and interface characterization approaches for assessing the drug-mediated cardiotoxicity should be promoted, in order to reduce, refine and replace the use of laboratory animals. Here, we investigate the possibility of using known human Ether-à-go-go-Related Gene (hERG) channel blockers to induce irregular beating patterns in the mouse and human induced pluripotent stem cell-derived (miPSC and hiPSC) cardiomyocyte (CM) model systems. An AFM-based approach was developed to precisely monitor the beating interval and rate of cardiomyocytes. Verification was implemented using three individual cardiovascular compounds to validate the potential application of this AFM approach as a complementary drug screening tool. Consistent with previous reports, isoproterenol increased the beating rate, with a more pronounced effect in the mouse CMs, nifedipine increased the beating rate in a dose-dependent manner, and sotalol induced arrhythmias with a significant variation in beating interval responses at increasing concentrations. The results of this initial study show that accurate analysis of individual drug-mediated effects can be achieved using our method, comparable to previous reports, and that a well-controlled AFM test of ion channel manipulation on human and murine-derived cardiomyocytes can be performed for investigation on multi-compound effects. Preliminary results indicate that the hERG blocker E-4031 can stimulate irregular, arrhythmic beating patterns in the cardiomyocytes from both species, and that immediate subsequent treatment with the hERG enhancer nicorandil can rescue these back to regular beating patterns, similar to those observed when the cells were untreated. This approach has not been extensively reported, and the use of our AFM system provides a platform to further investigate compound-induced ion channel effects in cardiomyocytes for potential application in pre-screening drug development stages.
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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 | 0.001 | 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".