Adaptation of rabbit ventricular cell model to reproduce action potentials in isolated papillary muscle

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Aims: We sought to establish a computational model of the rabbit ventricular action potential (AP) suitable for investigation of drug effects on the AP of the isolated rabbit papillary muscle. Methods: Data consisted of transmembrane AP recordings from isolated right ventricular papillary muscles from 21 rabbits. An existing model of the rabbit ventricular AP was adapted to reproduce experimental AP amplitude and AP duration (APD90, APD60, APD30,) at multiple pacing rates by reduction of fast sodium current and overall depolarizing current. The resulting model was validated. Results: At 2.0 and 0.5 Hz pacing respectively, the experimentally recorded APD90 was 113.9±11.2 ms and 150.2±13.1 ms. The adapted model produced an APD90 of 130.5 ms and 142.5 ms. Validation of the adapted model showed that, while there was a substantial adaptation of the model APD to experimental data, model stability was maintained, and internal Ca dynamics and responses to stimuli were not substantially affected. Conclusion: A model of the rabbit ventricular AP was adapted in order to reproduce experimental AP recordings from the isolated right ventricular rabbit papillary muscle. This model is useful for analysis of drug effects on the rabbit papillary AP.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
Number of pages4
PublisherIEEE Computer Society Press
Publication date16 Feb 2015
Pages429-432
Article number7408678
ISBN (Electronic)9781509006854
DOIs
Publication statusPublished - 16 Feb 2015
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: 6 Sep 20159 Sep 2015

Conference

Conference42nd Computing in Cardiology Conference, CinC 2015
LandFrance
ByNice
Periode06/09/201509/09/2015
SponsorCNRS Advancing the Frontiers, et al., IBM, Mortara, Physological Measurement, Universite Nice Sophia Antipolis
SeriesComputing in Cardiology
Volume42
ISSN2325-8861

ID: 261046723