Issue |
BIO Web Conf.
Volume 22, 2020
International Conference “Longevity Interventions 2020” (ICLI 2020)
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Article Number | 01025 | |
Number of page(s) | 9 | |
Section | Problems of Gerontology and Geriatrics | |
DOI | https://doi.org/10.1051/bioconf/20202201025 | |
Published online | 06 July 2020 |
In-silico analysis of aging mechanisms of action potential remodeling in human atrial cardiomyocites
1
Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, 620049, Pervomayskaya st., 106, Yekaterinburg, Russia
2
Ural Federal University named after the first President of Russia B. N. Yeltsin, 620002, Mira st. 19, Yekaterinburg, Russia
* Corresponding author: soloveva.olga@urfu.ru
Electrophysiology of cardiomyocytes changes with aging. Agerelated ionic remodeling in cardiomyocytes may increase the incidence and prevalence of atrial fibrillation (AF) in the elderly and affect the efficiency of antiarrhythmic drugs. There is the deep lack of experimental data on an action potential and transmembrane currents recorded in the healthy human cardiomyocytes of different age. Experimental data in mammals is also incomplete and often contradicting depending on the experimental conditions. In this in-silico study, we used a population of ionic models of human atrial cardiomyocytes to transfer data on the age- related ionic remodeling in atrial cardiomyocytes from canines and mice to predict possible consequences for human cardiomyocyte activity. Based on experimental data, we analyzes two hypotheses on the aging effect on the ionic currents using two age-related sets of varied model parameters and evaluated corresponding changes in action potential morphology with aging. Using the two populations of aging models, we analyzed the agedependent sensitivity of atrial cardiomyocytes to Dofetilide which is one of the antiarrhythmic drugs widely used in patients with atrial fibrillation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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