Sasha Panfilov -- In silico–in vitro approach to study and control cardiac arrhythmias
|Dates:||17 March 2022|
|Times:||15:00 - 16:00|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
Join us for this seminar by Sasha Panfilov (Gent, Belgium) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
The talk will be hosted in person and the University of Liverpool and on zoom, please contact email@example.com or B.Vasiev@liverpool.ac.uk for the zoom link, or sign up to the mailing list.
Abstract: Sudden cardiac death as a result of cardiac arrhythmias is the leading cause of death in the industrialized countries. Although cardiac arrhythmias has been studied well over a century, their underlying mechanisms remain largely unknown. One of the main problems is that cardiac arrhythmias occur at the level of the whole organ only, while in most of the cases only single cell experiments can be performed. Due to these limitations alternative approaches, such as multiscale biophysical modelling of the heart, are currently of great interest. Such methodology is extremely valuable if it combined with experimental and clinical methodology.
In my talk I will present results of research which combine usage of modelling and modern experimental techniques. In particular, I will report on studies in which properties of cardiac tissue were manipulated using optogenetics and show how this technology can be used to study basic properties of cardiac propagation and to control cardiac arrhythmias using Attract-Anchor-Drag method.
I will also report on concept of biological self-restoring system that allows automatic detection and correction of such abnormal excitation rhythms. For the heart, its realization involves the integration of ion channels with newly designed gating properties into cardiomyocytes. This allows cardiac tissue to i) discriminate between normal rhythm and arrhythmia based on frequency-dependent gating and ii) generate an ionic current for termination of the detected arrhythmia. We show in silico, that for both human atrial and ventricular arrhythmias, activation of these channels leads to rapid and repeated restoration of normal excitation rhythm. Experimental validation is provided by injecting the designed channel current for arrhythmia termination in human atrial myocytes using dynamic clamp.
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Organisation: Gent University
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