Literature DB >> 16766356

A new multi-scale simulation model of the circulation: from cells to system.

Eun Bo Shim1, Chae Hun Leem, Yasuyuki Abe, Akinori Noma.   

Abstract

We developed a comprehensive cell model that simulates the sequential cellular events from membrane excitation to contraction in the human ventricle. By combining this ventricular cell model with a lumped circulation model, we examined how blood pressure dynamics in the ventricle and aorta are related to the cellular processes. To convert cell contraction into ventricular pressure using Laplace's law, we introduced a simple geometric model of a ventricle: one shaped like a thin-walled hemisphere. The force of contraction of a single cell induces tension in the hemispheric ventricular wall, which generates the ventricular and aortic pressures in the lumped circulation model. The time courses of the hemodynamic properties, as well as the volume-pressure trajectory of the left ventricle, were well reproduced. Our multi-scale cardiovascular model, which covers from cardiac cells to the circulatory system, simulates the typical characteristics of heart mechanics, such as the pressure-volume relationship, stroke volume and the effect of the increased maximum free calcium concentration on cardiovascular hemodynamics. To test the cell-circulation coupling characteristics of the model, we simulated the effects of a decrease in L-type calcium channel conductance (cell level) on left ventricular pressure (system level). The variation due to different pacing frequencies for myocyte excitation was also investigated to assess the effects of heart rate on cardiac cells and the circulatory system.

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Year:  2006        PMID: 16766356     DOI: 10.1098/rsta.2006.1782

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  12 in total

1.  A computational model of cytosolic and mitochondrial [ca] in paced rat ventricular myocytes.

Authors:  Jae Boum Youm; Seong Woo Choi; Chang Han Jang; Hyoung Kyu Kim; Chae Hun Leem; Nari Kim; Jin Han
Journal:  Korean J Physiol Pharmacol       Date:  2011-08-31       Impact factor: 2.016

2.  GENTEX, a general multiscale model for in vivo tissue exchanges and intraorgan metabolism.

Authors:  James B Bassingthwaighte; Gary M Raymond; James D Ploger; Lisa M Schwartz; Thomas R Bukowski
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2006-06-15       Impact factor: 4.226

3.  CVSim: An Open-Source Cardiovascular Simulator for Teaching and Research.

Authors:  Thomas Heldt; Ramakrishna Mukkamala; George B Moody; Roger G Mark
Journal:  Open Pacing Electrophysiol Ther J       Date:  2010

Review 4.  Computational models reduce complexity and accelerate insight into cardiac signaling networks.

Authors:  Jason H Yang; Jeffrey J Saucerman
Journal:  Circ Res       Date:  2011-01-07       Impact factor: 17.367

5.  An integrative model of the cardiovascular system coupling heart cellular mechanics with arterial network hemodynamics.

Authors:  Young-Tae Kim; Jeong Sang Lee; Chan-Hyun Youn; Jae-Sung Choi; Eun Bo Shim
Journal:  J Korean Med Sci       Date:  2013-07-31       Impact factor: 2.153

6.  Approaching the in vitro clinical trial: engineering organs on chips.

Authors:  A K Capulli; K Tian; N Mehandru; A Bukhta; S F Choudhury; M Suchyta; K K Parker
Journal:  Lab Chip       Date:  2014-09-07       Impact factor: 6.799

7.  From isolated to networked: a paradigmatic shift in mitochondrial physiology.

Authors:  Miguel A Aon
Journal:  Front Physiol       Date:  2010-07-14       Impact factor: 4.566

8.  Theoretical estimation of cannulation methods for left ventricular assist device support as a bridge to recovery.

Authors:  Ki Moo Lim; Jeong Sang Lee; Jin-Ho Song; Chan-Hyun Youn; Jae-Sung Choi; Eun Bo Shim
Journal:  J Korean Med Sci       Date:  2011-11-29       Impact factor: 2.153

9.  Simulation of left atrial function using a multi-scale model of the cardiovascular system.

Authors:  Antoine Pironet; Pierre C Dauby; Sabine Paeme; Sarah Kosta; J Geoffrey Chase; Thomas Desaive
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

10.  A multi-scale cardiovascular system model can account for the load-dependence of the end-systolic pressure-volume relationship.

Authors:  Antoine Pironet; Thomas Desaive; Sarah Kosta; Alexandra Lucas; Sabine Paeme; Arnaud Collet; Christopher G Pretty; Philippe Kolh; Pierre C Dauby
Journal:  Biomed Eng Online       Date:  2013-01-30       Impact factor: 2.819

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