scholarly journals Populations of in silico myocytes and tissues reveal synergy of multiatrial‐predominant K + ‐current block in atrial fibrillation

Author(s):  
Haibo Ni ◽  
Alex Fogli Iseppe ◽  
Wayne R. Giles ◽  
Sanjiv M. Narayan ◽  
Henggui Zhang ◽  
...  
Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3175
Author(s):  
Laura Iop ◽  
Sabino Iliceto ◽  
Giovanni Civieri ◽  
Francesco Tona

Rhythm disturbances are life-threatening cardiovascular diseases, accounting for many deaths annually worldwide. Abnormal electrical activity might arise in a structurally normal heart in response to specific triggers or as a consequence of cardiac tissue alterations, in both cases with catastrophic consequences on heart global functioning. Preclinical modeling by recapitulating human pathophysiology of rhythm disturbances is fundamental to increase the comprehension of these diseases and propose effective strategies for their prevention, diagnosis, and clinical management. In silico, in vivo, and in vitro models found variable application to dissect many congenital and acquired rhythm disturbances. In the copious list of rhythm disturbances, diseases of the conduction system, as sick sinus syndrome, Brugada syndrome, and atrial fibrillation, have found extensive preclinical modeling. In addition, the electrical remodeling as a result of other cardiovascular diseases has also been investigated in models of hypertrophic cardiomyopathy, cardiac fibrosis, as well as arrhythmias induced by other non-cardiac pathologies, stress, and drug cardiotoxicity. This review aims to offer a critical overview on the effective ability of in silico bioinformatic tools, in vivo animal studies, in vitro models to provide insights on human heart rhythm pathophysiology in case of sick sinus syndrome, Brugada syndrome, and atrial fibrillation and advance their safe and successful translation into the cardiology arena.


2012 ◽  
Vol 102 (5) ◽  
pp. 951-960 ◽  
Author(s):  
Martin Aguilar-Shardonofsky ◽  
Edward J. Vigmond ◽  
Stanley Nattel ◽  
Philippe Comtois

2020 ◽  
Vol 16 (2) ◽  
pp. e1007678 ◽  
Author(s):  
Jieyun Bai ◽  
Andy Lo ◽  
Patrick A. Gladding ◽  
Martin K. Stiles ◽  
Vadim V. Fedorov ◽  
...  

EP Europace ◽  
2018 ◽  
Vol 20 (suppl_1) ◽  
pp. i191-i192
Author(s):  
B Lim ◽  
M Hwang ◽  
J S Song ◽  
A J Ryu ◽  
B Joung ◽  
...  

2017 ◽  
Vol 14 (129) ◽  
pp. 20170180 ◽  
Author(s):  
S. Scarsoglio ◽  
A. Saglietto ◽  
M. Anselmino ◽  
F. Gaita ◽  
L. Ridolfi

There has recently been growing evidence that atrial fibrillation (AF), the most common cardiac arrhythmia, is independently associated with the risk of dementia. This represents a very recent frontier with high social impact for the number of individuals involved and for the expected increase in AF incidence in the next 40 years. Although a number of potential haemodynamic processes, such as microembolisms, altered cerebral blood flow, hypoperfusion and microbleeds, arise as connecting links between the two pathologies, the causal mechanisms are far from clear. An in silico approach is proposed that combines in sequence two lumped-parameter schemes, for the cardiovascular system and the cerebral circulation. The systemic arterial pressure is obtained from the cardiovascular system and used as the input for the cerebral circulation, with the aim of studying the role of AF on the cerebral haemodynamics with respect to normal sinus rhythm (NSR), over a 5000 beat recording. In particular, the alteration of the haemodynamic (pressure and flow rate) patterns in the microcirculation during AF is analysed by means of different statistical tools, from correlation coefficients to autocorrelation functions, crossing times, extreme values analysis and multivariate linear regression models. A remarkable signal alteration, such as a reduction in signal correlation (NSR, about 3 s; AF, less than 1 s) and increased probability (up to three to four times higher in AF than in NSR) of extreme value events, emerges for the peripheral brain circulation. The described scenario offers a number of plausible cause–effect mechanisms that might explain the occurrence of critical events and the haemodynamic links relating to AF and dementia.


Circulation ◽  
2015 ◽  
Vol 132 (2) ◽  
pp. 82-92 ◽  
Author(s):  
Constanze Schmidt ◽  
Felix Wiedmann ◽  
Niels Voigt ◽  
Xiao-Bo Zhou ◽  
Jordi Heijman ◽  
...  

1989 ◽  
Vol 94 (2) ◽  
pp. 349-361 ◽  
Author(s):  
R D Harvey ◽  
R E Ten Eick

The inward-rectifying K+ current (IK1) in cat ventricular myocytes, like inward-rectifying K+ currents in many other preparations, exhibited a negative slope conductance region at hyperpolarized membrane potentials that was time-dependent. This was evident as an inactivation of inward current elicited by hyperpolarizing voltage-clamp pulses resulting in a negative slope region of the steady-state current-voltage relationship at potentials negative to -140 mV. Removing extracellular Na+ prevented the development of the negative slope in this voltage region, suggesting that Na+ can block IK1 channels in a time- and voltage-dependent manner. The time and voltage dependence of Cs+-induced block of IK1 was also examined. Cs+ blocked inward current in a manner similar to that of Na+, but the former was much more potent. The fraction of current blocked by Cs+ in the presence of Na+ was reduced in a time- and voltage-dependent manner, which suggested that these blocking ions compete for a common or at least similar site of action. In the absence of Na+, inactivation of IK1 could also be induced by both Cs+ and Li+. However, Li+ was less potent than Na+ in this respect. Calculation of the voltage sensitivity of current block by each of these ions suggests that the mechanism of block by each is similar.


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