Why the study?
Women face higher risks of drug-induced torsade de pointes and sudden cardiac death, yet female sex is underrepresented in cardiovascular research, limiting understanding and prediction of sex-specific arrhythmias.
Can a quantitative tool predict the electrophysiological response to drugs in female cardiomyocytes using data collected in males?
Can a quantitative tool predict the electrophysiological response to drugs in female cardiomyocytes using data collected in males?
A novel quantitative tool enables the prediction of female-specific cardiac electrophysiological responses to drugs using male-derived data, addressing a critical gap in sex-specific arrhythmia risk assessment.
May refine drug-induced arrhythmia prediction in women; leaves open clinical validation of the model.
Despite evidence that women are at higher risk of drug-induced torsade de pointes and sudden cardiac death, female sex is vastly underrepresented in cardiovascular research, thus limiting our fundamental understanding of sex-specific arrhythmia mechanisms and our ability to predict arrhythmia propensity. To address this urgent clinical and preclinical need, we developed a quantitative tool that predicts the electrophysiological response to drug administration in female cardiomyocytes starting from data collected in males. We demonstrate the suitability of our translator for sex-specific cardiac safety assessment and include proof-of-concept application of our translator to in vitro and in vivo data.
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Hellgren et al. (2023) studied this question.
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