WHAT IS KNOWN?
- Computer models use patient specific tissue geometry and cardiac fiber orientation to generate clinically relevant simulations of human cardiac action potentials.
- However, none of the models take into account tissue-specific, person-specific, and pathology-specific gene expression profiles which all are known to affect the action potential morphology and propagation dynamics.
WHAT THIS STUDY ADDS?
- A novel modification of genetic algorithm which determines personalized parameters of cardiac action potential based on set of human action potentials recorded at different heart rates.
- A mRNA based model that can predict action potential waveform at different heart rates with high precision and which makes it possible to map gene expression profile to cardiac function.
LINK TO THE ARTICLE
Smirnov D, Pikunov A, Syunyaev R, Deviatiiarov R, Gusev O, Aras K, Gams A, Koppel A, Efimov IR. Genetic algorithm-based personalized models of human cardiac action potential. PLoS One. 2020;15(5):e0231695. doi: 10.1371/journal.pone.0231695. eCollection 2020. PubMed PMID: 32392258.