Literature DB >> 30251624

The Ca2+ transient as a feedback sensor controlling cardiomyocyte ionic conductances in mouse populations.

Colin M Rees1,2, Jun-Hai Yang3,4, Marc Santolini1,2, Aldons J Lusis3,4,5,6, James N Weiss3,4, Alain Karma1,2.   

Abstract

Conductances of ion channels and transporters controlling cardiac excitation may vary in a population of subjects with different cardiac gene expression patterns. However, the amount of variability and its origin are not quantitatively known. We propose a new conceptual approach to predict this variability that consists of finding combinations of conductances generating a normal intracellular Ca2+ transient without any constraint on the action potential. Furthermore, we validate experimentally its predictions using the Hybrid Mouse Diversity Panel, a model system of genetically diverse mouse strains that allows us to quantify inter-subject versus intra-subject variability. The method predicts that conductances of inward Ca2+ and outward K+ currents compensate each other to generate a normal Ca2+ transient in good quantitative agreement with current measurements in ventricular myocytes from hearts of different isogenic strains. Our results suggest that a feedback mechanism sensing the aggregate Ca2+ transient of the heart suffices to regulate ionic conductances.
© 2018, Rees et al.

Entities:  

Keywords:  cardiac electrophysiology; cardiac homeostasis; computational biology; mouse; physics of living systems; systems biology

Mesh:

Substances:

Year:  2018        PMID: 30251624      PMCID: PMC6205808          DOI: 10.7554/eLife.36717

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  58 in total

1.  Activity-dependent current distributions in model neurons.

Authors:  M Siegel; E Marder; L F Abbott
Journal:  Proc Natl Acad Sci U S A       Date:  1994-11-22       Impact factor: 11.205

Review 2.  Variability, compensation, and modulation in neurons and circuits.

Authors:  Eve Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

3.  Cardiac myocyte volume, Ca2+ fluxes, and sarcoplasmic reticulum loading in pressure-overload hypertrophy.

Authors:  L M Delbridge; H Satoh; W Yuan; J W Bassani; M Qi; K S Ginsburg; A M Samarel; D M Bers
Journal:  Am J Physiol       Date:  1997-05

4.  A defect in the Kv channel-interacting protein 2 (KChIP2) gene leads to a complete loss of I(to) and confers susceptibility to ventricular tachycardia.

Authors:  H C Kuo; C F Cheng; R B Clark; J J Lin; J L Lin; M Hoshijima; V T Nguyêñ-Trân; Y Gu; Y Ikeda; P H Chu; J Ross; W R Giles; K R Chien
Journal:  Cell       Date:  2001-12-14       Impact factor: 41.582

5.  Intracellular Na+ modulates the cAMP-dependent regulation of ion channels in the heart.

Authors:  R D Harvey; J A Jurevicius; J R Hume
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

6.  Targeting phospholamban by gene transfer in human heart failure.

Authors:  Federica del Monte; Sian E Harding; G William Dec; Judith K Gwathmey; Roger J Hajjar
Journal:  Circulation       Date:  2002-02-26       Impact factor: 29.690

7.  Multi-scale electrophysiology modeling: from atom to organ.

Authors:  Jonathan R Silva; Yoram Rudy
Journal:  J Gen Physiol       Date:  2010-06       Impact factor: 4.086

8.  Computer model of action potential of mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko; Gyula P Szigeti; Glenna C L Bett; Song-Jung Kim; Randall L Rasmusson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-13       Impact factor: 4.733

9.  Cellular signaling underlying atrial tachycardia remodeling of L-type calcium current.

Authors:  Xiao Yan Qi; Yung-Hsin Yeh; Ling Xiao; Brett Burstein; Ange Maguy; Denis Chartier; Louis R Villeneuve; Bianca J J M Brundel; Dobromir Dobrev; Stanley Nattel
Journal:  Circ Res       Date:  2008-08-21       Impact factor: 17.367

10.  Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.

Authors:  Oliver J Britton; Alfonso Bueno-Orovio; Karel Van Ammel; Hua Rong Lu; Rob Towart; David J Gallacher; Blanca Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

View more
  9 in total

1.  Different paths, same destination: divergent action potential responses produce conserved cardiac fight-or-flight response in mouse and rabbit hearts.

Authors:  Lianguo Wang; Stefano Morotti; Srinivas Tapa; Samantha D Francis Stuart; Yanyan Jiang; Zhen Wang; Rachel C Myles; Kieran E Brack; G André Ng; Donald M Bers; Eleonora Grandi; Crystal M Ripplinger
Journal:  J Physiol       Date:  2019-07-11       Impact factor: 5.182

2.  Co-expression of calcium and hERG potassium channels reduces the incidence of proarrhythmic events.

Authors:  Sara Ballouz; Melissa M Mangala; Matthew D Perry; Stewart Heitmann; Jesse A Gillis; Adam P Hill; Jamie I Vandenberg
Journal:  Cardiovasc Res       Date:  2021-08-29       Impact factor: 10.787

Review 3.  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

Review 4.  K+ and Ca2+ Channels Regulate Ca2+ Signaling in Chondrocytes: An Illustrated Review.

Authors:  Yoshiaki Suzuki; Hisao Yamamura; Yuji Imaizumi; Robert B Clark; Wayne R Giles
Journal:  Cells       Date:  2020-06-29       Impact factor: 6.600

5.  A computational model of induced pluripotent stem-cell derived cardiomyocytes incorporating experimental variability from multiple data sources.

Authors:  Divya C Kernik; Stefano Morotti; HaoDi Wu; Priyanka Garg; Henry J Duff; Junko Kurokawa; José Jalife; Joseph C Wu; Eleonora Grandi; Colleen E Clancy
Journal:  J Physiol       Date:  2019-07-27       Impact factor: 5.182

6.  Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes.

Authors:  Karoline Horgmo Jæger; Samuel Wall; Aslak Tveito
Journal:  PLoS Comput Biol       Date:  2021-02-16       Impact factor: 4.475

7.  Arrhythmogenic effects of ultra-long and bistable cardiac action potentials.

Authors:  Stewart Heitmann; Anton Shpak; Jamie I Vandenberg; Adam P Hill
Journal:  PLoS Comput Biol       Date:  2021-02-16       Impact factor: 4.475

8.  Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics.

Authors:  Pras Pathmanathan; Suran K Galappaththige; Jonathan M Cordeiro; Abouzar Kaboudian; Flavio H Fenton; Richard A Gray
Journal:  Front Physiol       Date:  2020-11-19       Impact factor: 4.566

Review 9.  Biological noise is a key determinant of the reproducibility and adaptability of cardiac pacemaking and EC coupling.

Authors:  Laura Guarina; Ariana Neelufar Moghbel; Mohammad S Pourhosseinzadeh; Robert H Cudmore; Daisuke Sato; Colleen E Clancy; Luis Fernando Santana
Journal:  J Gen Physiol       Date:  2022-04-28       Impact factor: 4.000

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.