How drugs modulate the performance of the human heart
| Autor: | Jiang Yao, Francisco Sahli Costabal, Mathias Peirlinck, Ellen Kuhl |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Drug
medicine.medical_specialty Heart rhythm disorders media_common.quotation_subject Cardiac electrophysiology Computational Mechanics Dofetilide Ocean Engineering Internal medicine Heart rate Hemodynamic coupling medicine Myocyte media_common business.industry Applied Mathematics Mechanical Engineering Human heart Increased cardiac output Electro-mechanical coupling Drug-induced arrhythmia Computational whole-heart modeling Computational Mathematics Cardiac mechanics Computational Theory and Mathematics Cardiology Personalized medicine business medicine.drug |
| Zdroj: | Computational Mechanics, 69(6) |
| ISSN: | 1432-0924 0178-7675 |
| DOI: | 10.1007/s00466-022-02146-1 |
| Popis: | Many drugs interact with ion channels in the cells of the heart and trigger heart rhythm disorders with potentially fatal consequences. Computational modeling can provide mechanistic insight into the onset and propagation of drug-induced arrhythmias, but the effect of drugs on the mechanical behavior of the heart remains poorly understood. Here we establish a multiphysics framework that integrates the biochemical, electrical, and mechanical effects of drugs from single cardiac cells to the overall response of the whole heart. For the example of the drug dofetilide, we show that drug concentrations of 3.0x and 4.8x increase the heart rate to 122 and 114 beats per minute, increase the myofiber stretches up to 10%, and decrease tissue relaxation by 6%. Strikingly, the drug-induced interventricular and atrial-ventricular dyssynchrony results in a 2.5% decreased and 7% increased cardiac output, respectively. Our results demonstrate the potential for multiphysics, multiscale modeling towards understanding the mechanical implications of drug-induced arrhythmias. Knowing how differing drug concentrations affect the performance of the heart has important clinical implications in drug safety evaluation and personalized medicine. |
| Databáze: | OpenAIRE |
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