Literature DB >> 32448068

Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.

Brodie A J Lawson1, Rafael S Oliveira2, Lucas A Berg3, Pedro A A Silva3, Kevin Burrage1,4, Rodrigo Weber Dos Santos3.   

Abstract

Ischaemia, in which inadequate blood supply compromises and eventually kills regions of cardiac tissue, can cause many types of arrhythmia, some life-threatening. A significant component of this is the effects of the resulting hypoxia, and concomitant hyperklaemia and acidosis, on the electrophysiological properties of myocytes. Clinical and experimental data have also shown that regions of structural heterogeneity (fibrosis, necrosis, fibro-fatty infiltration) can act as triggers for arrhythmias under acute ischaemic conditions. Mechanistic models have successfully captured these effects in silico. However, the relative significance of these separate facets of the condition, and how sensitive arrhythmic risk is to the extents of each, is far less explored. In this work, we use partitioned Gaussian process emulation and new metrics for source-sink mismatch that rely on simulations of bifurcating cardiac fibres to interrogate a model of heterogeneous ischaemic tissue. Re-entries were most sensitive to the level of hypoxia and the fraction of non-excitable tissue. In addition, our results reveal both protective and pro-arrhythmic effects of hyperklaemia, and present the levels of hyperklaemia, hypoxia and percentage of non-excitable tissue that pose the highest arrhythmic risks. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.

Entities:  

Keywords:  cardiac electrophysiology; fibrosis; ischaemia; mathematical modelling; statistics

Mesh:

Year:  2020        PMID: 32448068      PMCID: PMC7287337          DOI: 10.1098/rsta.2019.0341

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  55 in total

1.  Electrophysiologic effects of acute myocardial ischemia: a theoretical study of altered cell excitability and action potential duration.

Authors:  R M Shaw; Y Rudy
Journal:  Cardiovasc Res       Date:  1997-08       Impact factor: 10.787

Review 2.  Fibrosis and ischemia: the real risks in hypertensive heart disease.

Authors:  E D Frohlich
Journal:  Am J Hypertens       Date:  2001-06       Impact factor: 2.689

3.  Extracellular potassium accumulation in acute myocardial ischemia.

Authors:  A G Kléber
Journal:  J Mol Cell Cardiol       Date:  1984-05       Impact factor: 5.000

4.  A practical algorithm for solving dynamic membrane equations.

Authors:  S Rush; H Larsen
Journal:  IEEE Trans Biomed Eng       Date:  1978-07       Impact factor: 4.538

5.  Atrial fibrillation driven by micro-anatomic intramural re-entry revealed by simultaneous sub-epicardial and sub-endocardial optical mapping in explanted human hearts.

Authors:  Brian J Hansen; Jichao Zhao; Thomas A Csepe; Brandon T Moore; Ning Li; Laura A Jayne; Anuradha Kalyanasundaram; Praise Lim; Anna Bratasz; Kimerly A Powell; Orlando P Simonetti; Robert S D Higgins; Ahmet Kilic; Peter J Mohler; Paul M L Janssen; Raul Weiss; John D Hummel; Vadim V Fedorov
Journal:  Eur Heart J       Date:  2015-06-08       Impact factor: 29.983

6.  Initiation and propagation of ectopic waves: insights from an in vitro model of ischemia-reperfusion injury.

Authors:  Ara Arutunyan; Luther M Swift; Narine Sarvazyan
Journal:  Am J Physiol Heart Circ Physiol       Date:  2002-08       Impact factor: 4.733

7.  Intramyocardial adiposity after myocardial infarction: new implications of a substrate for ventricular tachycardia.

Authors:  Jim Pouliopoulos; William W B Chik; Ajita Kanthan; Gopal Sivagangabalan; Michael A Barry; Peter N A Fahmy; Christine Midekin; Juntang Lu; Eddy Kizana; Stuart P Thomas; Aravinda Thiagalingam; Pramesh Kovoor
Journal:  Circulation       Date:  2013-09-13       Impact factor: 29.690

8.  Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.

Authors:  Philip Gemmell; Kevin Burrage; Blanca Rodríguez; T Alexander Quinn
Journal:  Prog Biophys Mol Biol       Date:  2016-06-16       Impact factor: 3.667

9.  Guidelines for experimental models of myocardial ischemia and infarction.

Authors:  Merry L Lindsey; Roberto Bolli; John M Canty; Xiao-Jun Du; Nikolaos G Frangogiannis; Stefan Frantz; Robert G Gourdie; Jeffrey W Holmes; Steven P Jones; Robert A Kloner; David J Lefer; Ronglih Liao; Elizabeth Murphy; Peipei Ping; Karin Przyklenk; Fabio A Recchia; Lisa Schwartz Longacre; Crystal M Ripplinger; Jennifer E Van Eyk; Gerd Heusch
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-01-12       Impact factor: 4.733

10.  Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.

Authors:  Anna Muszkiewicz; Oliver J Britton; Philip Gemmell; Elisa Passini; Carlos Sánchez; Xin Zhou; Annamaria Carusi; T Alexander Quinn; Kevin Burrage; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2015-12-14       Impact factor: 3.667

View more
  2 in total

1.  The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation.

Authors:  Gary R Mirams; Steven A Niederer; Richard H Clayton
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

2.  Preliminary Study: Learning the Impact of Simulation Time on Reentry Location and Morphology Induced by Personalized Cardiac Modeling.

Authors:  Lv Tong; Caiming Zhao; Zhenyin Fu; Ruiqing Dong; Zhenghong Wu; Zefeng Wang; Nan Zhang; Xinlu Wang; Boyang Cao; Yutong Sun; Dingchang Zheng; Ling Xia; Dongdong Deng
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.