Literature DB >> 25147131

An in silico case study of idiopathic dilated cardiomyopathy via a multi-scale model of the cardiovascular system.

Benjamin Bhattacharya-Ghosh1, Selim Bozkurt2, Marcel C M Rutten3, Frans N van de Vosse4, Vanessa Díaz-Zuccarini5.   

Abstract

Mathematical modelling has been used to comprehend the pathology and the assessment of different treatment techniques such as heart failure and left ventricular assist device therapy in the cardiovascular field. In this study, an in-silico model of the heart is developed to understand the effects of idiopathic dilated cardiomyopathy (IDC) as a pathological scenario, with mechanisms described at the cellular, protein and organ levels. This model includes the right and left atria and ventricles, as well as the systemic and pulmonary arteries and veins. First, a multi-scale model of the whole heart is simulated for healthy conditions. Subsequently, the model is modified at its microscopic and macroscopic spatial scale to obtain the characteristics of IDC. The extracellular calcium concentration, the binding affinity of calcium binding proteins and the maximum and minimum elastances have been identified as key parameters across all relevant scales. The modified parameters cause a change in (a) intracellular calcium concentration characterising cellular properties, such as calcium channel currents or the action potential, (b) the proteins being involved in the sliding filament mechanism and the proportion of the attached crossbridges at the protein level, as well as (c) the pressure and volume values at the organ level. This model allows to obtain insight and understanding of the effects of the treatment techniques, from a physiological and biological point of view.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular system; Heart failure; Idiopathic dilated cardiomyopathy; Modelling and simulation; Multi-scale modelling; Protein, cellular and organ level

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Year:  2014        PMID: 25147131     DOI: 10.1016/j.compbiomed.2014.06.013

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Patient-Specific Modelling and Parameter Optimisation to Simulate Dilated Cardiomyopathy in Children.

Authors:  Selim Bozkurt; Waleed Paracha; Kaushiki Bakaya; Silvia Schievano
Journal:  Cardiovasc Eng Technol       Date:  2022-02-22       Impact factor: 2.495

2.  Mathematical modeling of cardiac function to evaluate clinical cases in adults and children.

Authors:  Selim Bozkurt
Journal:  PLoS One       Date:  2019-10-31       Impact factor: 3.240

  2 in total

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