Literature DB >> 29056961

Determination of action potential wavelength restitution in Scn5a+/- mouse hearts modelling human Brugada syndrome.

Gary Tse1, Sheung Ting Wong2, Vivian Tse3, Jie Ming Yeo2.   

Abstract

Entities:  

Keywords:  Action potential duration; Conduction; Depolarization; Repolarization; Restitution; Wavelength

Year:  2017        PMID: 29056961      PMCID: PMC5641650          DOI: 10.11909/j.issn.1671-5411.2017.09.011

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


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Brugada syndrome is a primary electrical disorder of the heart, predisposing affected individuals to potentially lethal, ventricular tachy-arrhythmias.[1]–[7] A number of mechanisms have been identified as being important increasing the risk of these rhythms.[8] Wavelength (λ) restitution has been suggested to predict the onset of action potential duration (APD) alternans in mouse Scn5a+/− hearts modelling Brugada syndrome.[9] Classical APD restitution analysis yielded mixed success in its ability to predict the onset of APD alternans and arrhythmogenicity. APD restitution relates APD to the previous diastolic interval (DI). APD restitution gradients > 1 is associated with the emergence of APD alternans,[10] and increased arrhythmogenicity in a number of different genetic and pharmacological mouse models, such as Brugada syndrome, long QT syndrome type 3 and hypokalaemia.[11]–[13] Matthews and colleagues previously demonstrated a non-linear relationship between APD alternans and APD restitution gradient and underestimated the extent of APD alternans, suggesting that it may partly underlie its lack of success in predicting arrhythmogenicity.[14] Another reason is that effective refractory period (ERP) can be altered independently of APD.[15] The lack of predictive power of APD restitution led Matthews and colleagues to devise a novel λ restitution analysis by recording monophasic action potential (MAP) recordings in wild-type and Scn5a+/− hearts during dynamic pacing, which introduced a stepwise increase in pacing rate.[9] The MAP method is an ex vivo recording technique that has widely been used to study whole heart electrophysiology in Langendorff systems. Activation latencies and APDs were derived from the MAPs obtained from the ventricles, with conduction velocity (θ) approximated by the reciprocal of activation latency, θ'. This in turn enabled the calculation of λ', which was approximated by θ' × APD, with the explicit assumption that ERP was equal to APD. Whilst we do not doubt the important role of wavelength in determining arrhythmogenicity, the method chosen by Matthews and colleagues may not be accurate in estimating wavelength for the following reasons. Firstly, the discordance between APD and ERP are apparent from the data generated by the authors' own group, but this has not been highlighted. Specifically, Martin and colleagues showed that APD is longer than ERP in wild-type hearts, whereas it is shorter than ERP Scn5a+/− hearts.[16] Secondly, estimation of wavelength using the authors' method requires accurate measurements of APD. Yet, the group's data on APD values have been highly discrepant, as can be seen in their own studies on Brugada syndrome.[17],[18] For example, in the left ventricular (LV) epicardium, APD70 and APD50 were not significantly altered by quinidine.[17] However, the authors later found that these were increased by quinidine.[18] In the LV endocardium, APD90, APD70 and APD50 were decreased by quinidine.[17] Their later study found that these were increased by quinidine.[18] Given these discrepancies, λ did not appear to be accurately determined. Together, the current evidence clearly shows that λ reduction,[19] and increased APD restitution[20] are important mechanism by which cardiac arrhythmias are generated and maintained. However, the role of λ restitution is unclear, but more accurate methods of determining this parameter experimentally need to be devised before a more definite conclusion can be reached.
  19 in total

1.  A graphic method for the study of alternation in cardiac action potentials.

Authors:  J B Nolasco; R W Dahlen
Journal:  J Appl Physiol       Date:  1968-08       Impact factor: 3.531

2.  The pathophysiological mechanism underlying Brugada syndrome: depolarization versus repolarization.

Authors:  Arthur A M Wilde; Pieter G Postema; José M Di Diego; Sami Viskin; Hiroshi Morita; Jeffrey M Fish; Charles Antzelevitch
Journal:  J Mol Cell Cardiol       Date:  2010-07-24       Impact factor: 5.000

3.  Restitution analysis of alternans and its relationship to arrhythmogenicity in hypokalaemic Langendorff-perfused murine hearts.

Authors:  Ian N Sabir; Lucia M Li; Andrew A Grace; Christopher L-H Huang
Journal:  Pflugers Arch       Date:  2007-08-18       Impact factor: 3.657

4.  Action potential wavelength restitution predicts alternans and arrhythmia in murine Scn5a(+/-) hearts.

Authors:  Gareth D K Matthews; Laila Guzadhur; Ian N Sabir; Andrew A Grace; Christopher L-H Huang
Journal:  J Physiol       Date:  2013-07-08       Impact factor: 5.182

Review 5.  Electrophysiological Mechanisms of Bayés Syndrome: Insights from Clinical and Mouse Studies.

Authors:  Gary Tse; Eric Tsz Him Lai; Jie Ming Yeo; Bryan P Yan
Journal:  Front Physiol       Date:  2016-05-31       Impact factor: 4.566

Review 6.  Mechanisms of Electrical Activation and Conduction in the Gastrointestinal System: Lessons from Cardiac Electrophysiology.

Authors:  Gary Tse; Eric Tsz Him Lai; Jie Ming Yeo; Vivian Tse; Sunny Hei Wong
Journal:  Front Physiol       Date:  2016-05-31       Impact factor: 4.566

Review 7.  Cardiac dynamics: Alternans and arrhythmogenesis.

Authors:  Gary Tse; Sheung Ting Wong; Vivian Tse; Yee Ting Lee; Hiu Yu Lin; Jie Ming Yeo
Journal:  J Arrhythm       Date:  2016-03-28

8.  Novel conduction-repolarization indices for the stratification of arrhythmic risk.

Authors:  Gary Tse
Journal:  J Geriatr Cardiol       Date:  2016-09       Impact factor: 3.327

9.  Restitution analysis of alternans using dynamic pacing and its comparison with S1S2 restitution in heptanol-treated, hypokalaemic Langendorff-perfused mouse hearts.

Authors:  Gary Tse; Sheung Ting Wong; Vivian Tse; Jie Ming Yeo
Journal:  Biomed Rep       Date:  2016-04-19

Review 10.  Mechanisms of cardiac arrhythmias.

Authors:  Gary Tse
Journal:  J Arrhythm       Date:  2015-12-17
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  10 in total

1.  Restitution metrics in Brugada syndrome: a systematic review and meta-analysis.

Authors:  Gary Tse; Sharen Lee; Mengqi Gong; Panagiotis Mililis; Dimitrios Asvestas; George Bazoukis; Leonardo Roever; Kamalan Jeevaratnam; Sandeep S Hothi; Ka Hou Christien Li; Tong Liu; Konstantinos P Letsas
Journal:  J Interv Card Electrophysiol       Date:  2019-12-14       Impact factor: 1.900

Review 2.  Electrophysiological Mechanisms of Bayés Syndrome: Insights from Clinical and Mouse Studies.

Authors:  Gary Tse; Eric Tsz Him Lai; Jie Ming Yeo; Bryan P Yan
Journal:  Front Physiol       Date:  2016-05-31       Impact factor: 4.566

Review 3.  Mechanisms of Electrical Activation and Conduction in the Gastrointestinal System: Lessons from Cardiac Electrophysiology.

Authors:  Gary Tse; Eric Tsz Him Lai; Jie Ming Yeo; Vivian Tse; Sunny Hei Wong
Journal:  Front Physiol       Date:  2016-05-31       Impact factor: 4.566

Review 4.  What Is the Arrhythmic Substrate in Viral Myocarditis? Insights from Clinical and Animal Studies.

Authors:  Gary Tse; Jie M Yeo; Yin Wah Chan; Eric T H Lai Lai; Bryan P Yan
Journal:  Front Physiol       Date:  2016-07-21       Impact factor: 4.566

5.  Gap junction inhibition by heptanol increases ventricular arrhythmogenicity by reducing conduction velocity without affecting repolarization properties or myocardial refractoriness in Langendorff-perfused mouse hearts.

Authors:  Gary Tse; Jie Ming Yeo; Vivian Tse; Joseph Kwan; Bing Sun
Journal:  Mol Med Rep       Date:  2016-09-13       Impact factor: 2.952

6.  Spontaneous type 1 pattern, ventricular arrhythmias and sudden cardiac death in Brugada Syndrome: an updated systematic review and meta-analysis.

Authors:  Ahmed Bayoumy; Meng-Qi Gong; Ka Hou Christien Li; Sunny Hei Wong; William Kk Wu; Guang-Ping Li; George Bazoukis; Konstantinos P Letsas; Wing Tak Wong; Yun-Long Xia; Tong Liu; Gary Tse
Journal:  J Geriatr Cardiol       Date:  2017-10       Impact factor: 3.327

Review 7.  Calcium in Brugada Syndrome: Questions for Future Research.

Authors:  Michelle M Monasky; Carlo Pappone; Marco Piccoli; Andrea Ghiroldi; Emanuele Micaglio; Luigi Anastasia
Journal:  Front Physiol       Date:  2018-08-10       Impact factor: 4.566

Review 8.  Experimental Models of Brugada syndrome.

Authors:  Franziska Sendfeld; Elisabet Selga; Fabiana S Scornik; Guillermo J Pérez; Nicholas L Mills; Ramon Brugada
Journal:  Int J Mol Sci       Date:  2019-04-29       Impact factor: 5.923

Review 9.  Brugada syndrome: A comprehensive review of pathophysiological mechanisms and risk stratification strategies.

Authors:  Ka Hou Christien Li; Sharen Lee; Chengye Yin; Tong Liu; Tachapong Ngarmukos; Giulio Conte; Gan-Xin Yan; Raymond W Sy; Konstantinos P Letsas; Gary Tse
Journal:  Int J Cardiol Heart Vasc       Date:  2020-01-21

10.  Higher Dispersion Measures of Conduction and Repolarization in Type 1 Compared to Non-type 1 Brugada Syndrome Patients: An Electrocardiographic Study From a Single Center.

Authors:  Gary Tse; Ka Hou Christien Li; Guangping Li; Tong Liu; George Bazoukis; Wing Tak Wong; Matthew T V Chan; Martin C S Wong; Yunlong Xia; Konstantinos P Letsas; Gary Chin Pang Chan; Yat Sun Chan; William K K Wu
Journal:  Front Cardiovasc Med       Date:  2018-10-04
  10 in total

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