Cargando…
A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes
Mutations are known to cause perturbations in essential functional features of integral membrane proteins, including ion channels. Even restricted or point mutations can result in substantially changed properties of ion currents. The additive effect of these alterations for a specific ion channel ca...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360568/ https://www.ncbi.nlm.nih.gov/pubmed/34383746 http://dx.doi.org/10.1371/journal.pcbi.1009233 |
_version_ | 1783737770338942976 |
---|---|
author | Jæger, Karoline Horgmo Edwards, Andrew G. Giles, Wayne R. Tveito, Aslak |
author_facet | Jæger, Karoline Horgmo Edwards, Andrew G. Giles, Wayne R. Tveito, Aslak |
author_sort | Jæger, Karoline Horgmo |
collection | PubMed |
description | Mutations are known to cause perturbations in essential functional features of integral membrane proteins, including ion channels. Even restricted or point mutations can result in substantially changed properties of ion currents. The additive effect of these alterations for a specific ion channel can result in significantly changed properties of the action potential (AP). Both AP shortening and AP prolongation can result from known mutations, and the consequences can be life-threatening. Here, we present a computational method for identifying new drugs utilizing combinations of existing drugs. Based on the knowledge of theoretical effects of existing drugs on individual ion currents, our aim is to compute optimal combinations that can ‘repair’ the mutant AP waveforms so that the baseline AP-properties are restored. More specifically, we compute optimal, combined, drug concentrations such that the waveforms of the transmembrane potential and the cytosolic calcium concentration of the mutant cardiomyocytes (CMs) becomes as similar as possible to their wild type counterparts after the drug has been applied. In order to demonstrate the utility of this method, we address the question of computing an optimal drug for the short QT syndrome type 1 (SQT1). For the SQT1 mutation N588K, there are available data sets that describe the effect of various drugs on the mutated K(+) channel. These published findings are the basis for our computational analysis which can identify optimal compounds in the sense that the AP of the mutant CMs resembles essential biomarkers of the wild type CMs. Using recently developed insights regarding electrophysiological properties among myocytes from different species, we compute optimal drug combinations for hiPSC-CMs, rabbit ventricular CMs and adult human ventricular CMs with the SQT1 mutation. Since the ‘composition’ of ion channels that form the AP is different for the three types of myocytes under consideration, so is the composition of the optimal drug. |
format | Online Article Text |
id | pubmed-8360568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83605682021-08-13 A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes Jæger, Karoline Horgmo Edwards, Andrew G. Giles, Wayne R. Tveito, Aslak PLoS Comput Biol Research Article Mutations are known to cause perturbations in essential functional features of integral membrane proteins, including ion channels. Even restricted or point mutations can result in substantially changed properties of ion currents. The additive effect of these alterations for a specific ion channel can result in significantly changed properties of the action potential (AP). Both AP shortening and AP prolongation can result from known mutations, and the consequences can be life-threatening. Here, we present a computational method for identifying new drugs utilizing combinations of existing drugs. Based on the knowledge of theoretical effects of existing drugs on individual ion currents, our aim is to compute optimal combinations that can ‘repair’ the mutant AP waveforms so that the baseline AP-properties are restored. More specifically, we compute optimal, combined, drug concentrations such that the waveforms of the transmembrane potential and the cytosolic calcium concentration of the mutant cardiomyocytes (CMs) becomes as similar as possible to their wild type counterparts after the drug has been applied. In order to demonstrate the utility of this method, we address the question of computing an optimal drug for the short QT syndrome type 1 (SQT1). For the SQT1 mutation N588K, there are available data sets that describe the effect of various drugs on the mutated K(+) channel. These published findings are the basis for our computational analysis which can identify optimal compounds in the sense that the AP of the mutant CMs resembles essential biomarkers of the wild type CMs. Using recently developed insights regarding electrophysiological properties among myocytes from different species, we compute optimal drug combinations for hiPSC-CMs, rabbit ventricular CMs and adult human ventricular CMs with the SQT1 mutation. Since the ‘composition’ of ion channels that form the AP is different for the three types of myocytes under consideration, so is the composition of the optimal drug. Public Library of Science 2021-08-12 /pmc/articles/PMC8360568/ /pubmed/34383746 http://dx.doi.org/10.1371/journal.pcbi.1009233 Text en © 2021 Jæger et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jæger, Karoline Horgmo Edwards, Andrew G. Giles, Wayne R. Tveito, Aslak A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title | A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title_full | A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title_fullStr | A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title_full_unstemmed | A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title_short | A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes |
title_sort | computational method for identifying an optimal combination of existing drugs to repair the action potentials of sqt1 ventricular myocytes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360568/ https://www.ncbi.nlm.nih.gov/pubmed/34383746 http://dx.doi.org/10.1371/journal.pcbi.1009233 |
work_keys_str_mv | AT jægerkarolinehorgmo acomputationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT edwardsandrewg acomputationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT gileswayner acomputationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT tveitoaslak acomputationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT jægerkarolinehorgmo computationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT edwardsandrewg computationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT gileswayner computationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes AT tveitoaslak computationalmethodforidentifyinganoptimalcombinationofexistingdrugstorepairtheactionpotentialsofsqt1ventricularmyocytes |