Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol

Abstract Short QT syndrome (SQTS) is a rare but dangerous genetic disease. In this research, we conducted a comprehensive in silico investigation into the arrhythmogenesis in KCNH2 T618I-associated SQTS using a multi-scale human ventricle model. A Markov chain model of I Kr was developed firstly to...

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Main Authors: Shugang Zhang, Weigang Lu, Fei Yang, Zhen Li, Shuang Wang, Mingjian Jiang, Xiaofeng Wang, Zhiqiang Wei
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:npj Systems Biology and Applications
Online Access:https://doi.org/10.1038/s41540-022-00254-5
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author Shugang Zhang
Weigang Lu
Fei Yang
Zhen Li
Shuang Wang
Mingjian Jiang
Xiaofeng Wang
Zhiqiang Wei
author_facet Shugang Zhang
Weigang Lu
Fei Yang
Zhen Li
Shuang Wang
Mingjian Jiang
Xiaofeng Wang
Zhiqiang Wei
author_sort Shugang Zhang
collection DOAJ
description Abstract Short QT syndrome (SQTS) is a rare but dangerous genetic disease. In this research, we conducted a comprehensive in silico investigation into the arrhythmogenesis in KCNH2 T618I-associated SQTS using a multi-scale human ventricle model. A Markov chain model of I Kr was developed firstly to reproduce the experimental observations. It was then incorporated into cell, tissue, and organ models to explore how the mutation provided substrates for ventricular arrhythmias. Using this T618I Markov model, we explicitly revealed the subcellular level functional alterations by T618I mutation, particularly the changes of ion channel states that are difficult to demonstrate in wet experiments. The following tissue and organ models also successfully reproduced the changed dynamics of reentrant spiral waves and impaired rate adaptions in hearts of T618I mutation. In terms of pharmacotherapy, we replicated the different effects of a drug under various conditions using identical mathematical descriptions for drugs. This study not only simulated the actions of an effective drug (quinidine) at various physiological levels, but also elucidated why the I Kr inhibitor sotalol failed in SQT1 patients through profoundly analyzing its mutation-dependent actions.
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spelling doaj.art-f9f920d3b4714e179849e306406708342022-12-22T03:58:02ZengNature Portfolionpj Systems Biology and Applications2056-71892022-11-018111710.1038/s41540-022-00254-5Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalolShugang Zhang0Weigang Lu1Fei Yang2Zhen Li3Shuang Wang4Mingjian Jiang5Xiaofeng Wang6Zhiqiang Wei7College of Computer Science and Technology, Ocean University of ChinaDepartment of Educational Technology, Ocean University of ChinaSchool of Mechanical, Electrical, and Information Engineering, Shandong UniversityCollege of Computer Science and Technology, Qingdao UniversityCollege of Computer Science and Technology, China University of Petroleum (East China)School of Information and Control Engineering, Qingdao University of TechnologyMindRank AI ltd., HangzhouCollege of Computer Science and Technology, Ocean University of ChinaAbstract Short QT syndrome (SQTS) is a rare but dangerous genetic disease. In this research, we conducted a comprehensive in silico investigation into the arrhythmogenesis in KCNH2 T618I-associated SQTS using a multi-scale human ventricle model. A Markov chain model of I Kr was developed firstly to reproduce the experimental observations. It was then incorporated into cell, tissue, and organ models to explore how the mutation provided substrates for ventricular arrhythmias. Using this T618I Markov model, we explicitly revealed the subcellular level functional alterations by T618I mutation, particularly the changes of ion channel states that are difficult to demonstrate in wet experiments. The following tissue and organ models also successfully reproduced the changed dynamics of reentrant spiral waves and impaired rate adaptions in hearts of T618I mutation. In terms of pharmacotherapy, we replicated the different effects of a drug under various conditions using identical mathematical descriptions for drugs. This study not only simulated the actions of an effective drug (quinidine) at various physiological levels, but also elucidated why the I Kr inhibitor sotalol failed in SQT1 patients through profoundly analyzing its mutation-dependent actions.https://doi.org/10.1038/s41540-022-00254-5
spellingShingle Shugang Zhang
Weigang Lu
Fei Yang
Zhen Li
Shuang Wang
Mingjian Jiang
Xiaofeng Wang
Zhiqiang Wei
Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
npj Systems Biology and Applications
title Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
title_full Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
title_fullStr Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
title_full_unstemmed Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
title_short Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol
title_sort computational analysis of arrhythmogenesis in kcnh2 t618i mutation associated short qt syndrome and the pharmacological effects of quinidine and sotalol
url https://doi.org/10.1038/s41540-022-00254-5
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