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Computational simulations of the effects of the V17M missense mutation on atrial electrical activity

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Computational simulations of the effects of the V17M missense mutation on atrial electrical activity

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dc.contributor.author Belletti, Rebecca es_ES
dc.contributor.author Martínez Mateu, L. es_ES
dc.contributor.author Romero Pérez, Lucia es_ES
dc.contributor.author Saiz Rodríguez, Francisco Javier es_ES
dc.date.accessioned 2022-12-12T08:08:54Z
dc.date.available 2022-12-12T08:08:54Z
dc.date.issued 2019-11-29 es_ES
dc.identifier.isbn 978-84-09-16707-4 es_ES
dc.identifier.uri http://hdl.handle.net/10251/190571
dc.description.abstract [EN] Atrial fibrillation is a cardiac arrhythmia responsible for disorganized electrical activity of the upper chambers of the heart. Recently genetic mutations have been associated to episodes of atrial fibrillation in asymptomatic patients, a condition called Lone AF. Indeed, genetic defects in ion channel protein structures can alter the flowing of the current through the pore. The aim of this work is to model and simulate the gain of function missense mutation V17M affecting the accessory subunit KCNE3 of the rapid delayed rectifier potassium channel, Kv11.1, found in a 46-years-old man affected by Lone AF. To accomplish this, the ventricular IKr Markov model proposed by Martin Fink and colleagues has been refitted to reproduce the behavior of the atrial IKr using an optimization procedure. Then, it was introduced into the atrial cellular model developed by Courtemanche Ramirez Nattel (CRN). Additionally, this model has been adjusted to fit experiments in literature in order to accurately reproduce the effects of the V17M mutation. The resulting wild-type IKr formulation mimics the CRN IKr time course at 0.5, 1 and 2 Hz, the activation time constants and the steady-state activation and inactivation curves. In addition, the V17M mutation formulation reproduces the experimentally reported electrophysiological alterations, which are approximately 3-fold increment of the current at high voltages and an almost 2-fold prolongation of the deactivation time constant. Simulation of the V17M mutation at the cellular level showed a 300% increase of the IKr peak, which shortened the action potential duration in 118.30 ms. es_ES
dc.description.sponsorship Generalitat Valenciana, Prometeo programme 2016/088 and grant agreement 766082 European Union's Horizon 2020 es_ES
dc.language Inglés es_ES
dc.publisher Grupo de Técnicas Ópticas Aplicadas, Universidad de Cantabria es_ES
dc.relation.ispartof Actas del Congreso CASEIB 2019 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial Fibrillation es_ES
dc.subject Ion Channel Mutation es_ES
dc.subject Computer Simulation es_ES
dc.subject Markov Model es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Computational simulations of the effects of the V17M missense mutation on atrial electrical activity es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/766082/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2016%2F088//MODELOS COMPUTACIONALES PERSONALIZADOS MULTI-ESCALA PARA LA OPTIMIZACION DEL DIAGNOSTICO Y TRATAMIENTO DE ARRITMIAS CARDIACAS (PERSONALISED DIGITAL HEART)/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación e Innovación en Bioingeniería - Centre de Recerca i Innovació en Bioenginyeria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Belletti, R.; Martínez Mateu, L.; Romero Pérez, L.; Saiz Rodríguez, FJ. (2019). Computational simulations of the effects of the V17M missense mutation on atrial electrical activity. Grupo de Técnicas Ópticas Aplicadas, Universidad de Cantabria. 203-206. http://hdl.handle.net/10251/190571 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2019) es_ES
dc.relation.conferencedate Noviembre 27-29,2019 es_ES
dc.relation.conferenceplace Santander, España es_ES
dc.relation.publisherversion http://caseib.es/2019/publicaciones/ es_ES
dc.description.upvformatpinicio 203 es_ES
dc.description.upvformatpfin 206 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\405507 es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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