Application of In Silico Trials for the Investigation of Drug Effects on Cardiomyopathy-Diseased Heart Cycle Properties

Author:

Milosevic Miljan123ORCID,Milicevic Bogdan4ORCID,Simic Vladimir12ORCID,Anic Milos14,Kojic Milos156ORCID,Jakovljevic Djordje7,Filipovic Nenad14ORCID

Affiliation:

1. Bioengineering Research and Development Center, BioIRC, 34000 Kragujevac, Serbia

2. Institute for Information Technologies, University of Kragujevac, 34000 Kragujevac, Serbia

3. Faculty of Information Technology, Belgrade Metropolitan University, 11000 Belgrade, Serbia

4. Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia

5. Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA

6. Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia

7. Department of Cardiology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK

Abstract

In this paper, we present the abilities of an in silico platform used to simulate the effects of different drugs on heartbeat cycle performance. The platform is based on a finite element modelling approach with the fluid–solid interaction implemented using a loose coupling procedure. Active mechanical stresses are calculated using the Hunter excitation model while the passive mechanical stresses are calculated using a recently introduced experiment-based material model for the heart tissue. The applicability of the platform is illustrated using a simple parametric model of the left ventricle. The simulations are performed using parameters that are specific to drugs such as digoxin, mavacamten, 2-deoxy adenosine triphosphate, and disopyramide, with the concentration of calcium in the cardiac cells affected by these drugs given as an input function. The results are obtained for two geometries mimicking patients with hypertrophic and dilated cardiomyopathy, and also for different inlet/outlet boundary conditions simulating different drug effects at the macroscopic level. Using in silico simulations with virtual patients, it is possible to evaluate the influence of different drugs on cardiac output and ejection fraction. This approach can significantly reduce computational costs with an acceptable solution accuracy compared to approaches coupling finite element and biophysical muscle model methods that are used to calculate drug effects at the micro level.

Funder

Ministry of Education, Science and Technological Development of the Republic of Serbia

European Commission

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference47 articles.

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2. World Health Organization (2023, February 01). Cardiovascular Diseases (CVDS). Available online: https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

3. Genetic mutations and mechanisms in dilated cardiomyopathy;McNally;J. Clin. Investig.,2013

4. Mijailovich, S.M., Prodanovic, M., Poggesi, C., Regnier, M., and Geeves, M.A. (2022). Computational modeling of the effects of drugs in HCM and DCM cardiomyopathies. Biophys. J., 121.

5. Clinical and genetic issues in dilated cardiomyopathy: A review for genetics professionals;Hershberger;Genet. Med.,2010

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