Literature DB >> 23722932

Computational models of ventricular- and atrial-like human induced pluripotent stem cell derived cardiomyocytes.

Michelangelo Paci1, Jari Hyttinen, Katriina Aalto-Setälä, Stefano Severi.   

Abstract

The clear importance of human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) as an in-vitro model highlights the relevance of studying these cells and their function also in-silico. Moreover, the phenotypical differences between the hiPSC-CM and adult myocyte action potentials (APs) call for understanding of how hiPSC-CMs are maturing towards adult myocytes. Using recently published experimental data, we developed two computational models of the hiPSC-CM AP, distinguishing between the ventricular-like and atrial-like phenotypes, emerging during the differentiation process of hiPSC-CMs. Also, we used the computational approach to quantitatively assess the role of ionic mechanisms which are likely responsible for the not completely mature phenotype of hiPSC-CMs. Our models reproduce the typical hiPSC-CM ventricular-like and atrial-like spontaneous APs and the response to prototypical current blockers, namely tetrodotoxine, nifedipine, E4041 and 3R4S-Chromanol 293B. Moreover, simulations using our ventricular-like model suggest that the interplay of immature I Na, I f and I K1 currents has a fundamental role in the hiPSC-CM spontaneous beating whereas a negative shift in I CaL activation causes the observed long lasting AP. In conclusion, this work provides two novel tools useful in investigating the electrophysiological features of hiPSC-CMs, whose importance is growing fast as in-vitro models for pharmacological studies.

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Mesh:

Year:  2013        PMID: 23722932     DOI: 10.1007/s10439-013-0833-3

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  44 in total

1.  Light-Activated Dynamic Clamp Using iPSC-Derived Cardiomyocytes.

Authors:  Bonnie Quach; Trine Krogh-Madsen; Emilia Entcheva; David J Christini
Journal:  Biophys J       Date:  2018-10-30       Impact factor: 4.033

2.  Exosomal microRNA-21-5p Mediates Mesenchymal Stem Cell Paracrine Effects on Human Cardiac Tissue Contractility.

Authors:  Joshua Mayourian; Delaine K Ceholski; Przemek A Gorski; Prabhu Mathiyalagan; Jack F Murphy; Sophia I Salazar; Francesca Stillitano; Joshua M Hare; Susmita Sahoo; Roger J Hajjar; Kevin D Costa
Journal:  Circ Res       Date:  2018-02-15       Impact factor: 17.367

3.  Human Atrial Cardiac Microtissues for Chamber-Specific Arrhythmic Risk Assessment.

Authors:  Arvin H Soepriatna; Tae Yun Kim; Mark C Daley; Elena Song; Bum-Rak Choi; Kareen L K Coulombe
Journal:  Cell Mol Bioeng       Date:  2021-09-29       Impact factor: 3.337

Review 4.  The value of basic research insights into atrial fibrillation mechanisms as a guide to therapeutic innovation: a critical analysis.

Authors:  Jordi Heijman; Vincent Algalarrondo; Niels Voigt; Jonathan Melka; Xander H T Wehrens; Dobromir Dobrev; Stanley Nattel
Journal:  Cardiovasc Res       Date:  2015-12-23       Impact factor: 10.787

5.  Assessment of arrhythmia mechanism and burden of the infarcted ventricles following remuscularization with pluripotent stem cell-derived cardiomyocyte patches using patient-derived models.

Authors:  Joseph K Yu; Jialiu A Liang; William H Franceschi; Qinwen Huang; Farhad Pashakhanloo; Eric Sung; Patrick M Boyle; Natalia A Trayanova
Journal:  Cardiovasc Res       Date:  2022-03-25       Impact factor: 13.081

Review 6.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

7.  A web portal for in-silico action potential predictions.

Authors:  Geoff Williams; Gary R Mirams
Journal:  J Pharmacol Toxicol Methods       Date:  2015-05-09       Impact factor: 1.950

8.  Cellular cardiac electrophysiology modeling with Chaste and CellML.

Authors:  Jonathan Cooper; Raymond J Spiteri; Gary R Mirams
Journal:  Front Physiol       Date:  2015-01-06       Impact factor: 4.566

Review 9.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

10.  An in silico hiPSC-Derived Cardiomyocyte Model Built With Genetic Algorithm.

Authors:  Akwasi D Akwaboah; Bright Tsevi; Pascal Yamlome; Jacqueline A Treat; Maila Brucal-Hallare; Jonathan M Cordeiro; Makarand Deo
Journal:  Front Physiol       Date:  2021-06-16       Impact factor: 4.566

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