Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions

Vernakalant is a new antiarrhythmic agent for the treatment of atrial fibrillation. While it has proven to be effective in a large share of patients in clinical studies, its underlying mode of action is not fully understood. In this work, we aim to link experimental data from the subcellular, tissue...

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Main Authors: Loewe Axel, Xu Yan, Scholz Eberhard P., Dössel Olaf, Seemann Gunnar
Format: Article
Language:English
Published: De Gruyter 2015-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0101/cdbme-2015-0101.xml?format=INT
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spelling doaj-21ddc80e03bf4356b29416b13cdcbcb12020-11-24T21:41:45ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042015-09-011141842210.1515/cdbme-2015-0101cdbme-2015-0101Understanding the cellular mode of action of vernakalant using a computational model: answers and new questionsLoewe Axel0Xu Yan1Scholz Eberhard P.2Dössel Olaf3Seemann Gunnar4Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyDepartment of Internal Medicine III, University Hospital Heidelberg, Heidelberg, GermanyVernakalant is a new antiarrhythmic agent for the treatment of atrial fibrillation. While it has proven to be effective in a large share of patients in clinical studies, its underlying mode of action is not fully understood. In this work, we aim to link experimental data from the subcellular, tissue, and system level using an in-silico approach. A Hill’s equation-based drug model was extended to cover the frequency dependence of sodium channel block. Two model variants were investigated: M1 based on subcellular data and M2 based on tissue level data. 6 action potential (AP) markers were evaluated regarding their dose, frequency and substrate dependence. M1 comprising potassium, sodium, and calcium channel block reproduced the reported prolongation of the refractory period. M2 not including the effects on potassium channels reproduced reported AP morphology changes on the other hand. The experimentally observed increase of ERP accompanied by a shortening of APD90 was not reproduced. Thus, explanations for the drug-induced changes are provided while none of the models can explain the effects in their entirety. These results foster the understanding of vernakalant’s cellular mode of action and point out relevant gaps in our current knowledge to be addressed in future in-silico and experimental research on this aspiring antiarrhythmic agent.http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0101/cdbme-2015-0101.xml?format=INTantiarrythmic drugatrial fibrillationmathematical modelmode of actionvernakalant
collection DOAJ
language English
format Article
sources DOAJ
author Loewe Axel
Xu Yan
Scholz Eberhard P.
Dössel Olaf
Seemann Gunnar
spellingShingle Loewe Axel
Xu Yan
Scholz Eberhard P.
Dössel Olaf
Seemann Gunnar
Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
Current Directions in Biomedical Engineering
antiarrythmic drug
atrial fibrillation
mathematical model
mode of action
vernakalant
author_facet Loewe Axel
Xu Yan
Scholz Eberhard P.
Dössel Olaf
Seemann Gunnar
author_sort Loewe Axel
title Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
title_short Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
title_full Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
title_fullStr Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
title_full_unstemmed Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
title_sort understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
publisher De Gruyter
series Current Directions in Biomedical Engineering
issn 2364-5504
publishDate 2015-09-01
description Vernakalant is a new antiarrhythmic agent for the treatment of atrial fibrillation. While it has proven to be effective in a large share of patients in clinical studies, its underlying mode of action is not fully understood. In this work, we aim to link experimental data from the subcellular, tissue, and system level using an in-silico approach. A Hill’s equation-based drug model was extended to cover the frequency dependence of sodium channel block. Two model variants were investigated: M1 based on subcellular data and M2 based on tissue level data. 6 action potential (AP) markers were evaluated regarding their dose, frequency and substrate dependence. M1 comprising potassium, sodium, and calcium channel block reproduced the reported prolongation of the refractory period. M2 not including the effects on potassium channels reproduced reported AP morphology changes on the other hand. The experimentally observed increase of ERP accompanied by a shortening of APD90 was not reproduced. Thus, explanations for the drug-induced changes are provided while none of the models can explain the effects in their entirety. These results foster the understanding of vernakalant’s cellular mode of action and point out relevant gaps in our current knowledge to be addressed in future in-silico and experimental research on this aspiring antiarrhythmic agent.
topic antiarrythmic drug
atrial fibrillation
mathematical model
mode of action
vernakalant
url http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0101/cdbme-2015-0101.xml?format=INT
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