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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.

OriginalsprogEngelsk
TitelComputing in Cardiology Conference 2015, CinC 2015
RedaktørerAlan Murray
Antal sider4
ForlagIEEE Computer Society Press
Publikationsdato16 feb. 2015
Sider429-432
Artikelnummer7408678
ISBN (Elektronisk)9781509006854
DOI
StatusUdgivet - 16 feb. 2015
Begivenhed42nd Computing in Cardiology Conference, CinC 2015 - Nice, Frankrig
Varighed: 6 sep. 20159 sep. 2015

Konference

Konference42nd Computing in Cardiology Conference, CinC 2015
LandFrankrig
ByNice
Periode06/09/201509/09/2015
SponsorCNRS Advancing the Frontiers, et al., IBM, Mortara, Physological Measurement, Universite Nice Sophia Antipolis
NavnComputing in Cardiology
Vol/bind42
ISSN2325-8861

ID: 261046723