Resumen:
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[EN] Background and Objective: Personalized 3D computer models of atria have been extensively implemented in the
last yearsas a tool to facilitate the understanding of the mechanisms underlying different forms of ...[+]
[EN] Background and Objective: Personalized 3D computer models of atria have been extensively implemented in the
last yearsas a tool to facilitate the understanding of the mechanisms underlying different forms of arrhythmia,
such as atrial fibrillation (AF). Meanwhile, genetic mutations acting on potassium channel dynamics were
demonstrated to induce fibrillatory episodes in asymptomatic patients. This research study aims at assessing the
effects and the atrial susceptibility to AF of three gain-of-function mutations ¿ namely, KCNH2 T895M, KCNH2
T436M, and KCNE3-V17M ¿ associated with AF outbreaks, using highly detailed 3D atrial models with realistic
wall thickness and heterogenous histological properties.
Methods: The 3D atrial model was generated by reconstructing segmented anatomical structures from CT scans of
an AF patient. Modified versions of the Courtemanche human atrial myocyte model were used to reproduce the
electrophysiological activity of the WT and of the three mutant cells. Ectopic foci (EF) were simulated in sixteen
locations across the atrial mesh using an S1-S2 protocol with two S2 basic cycle lengths (BCL) and eleven
coupling intervals in order to induce arrhythmias.
Results: The three genetic mutations at 3D level reduced the APD90. The KCNE3-V17M mutation provoked the
highest shortening (55 % in RA and LA with respect to WT), followed by KCNH2 T895M (14 % in RA and 18 %
LA with respect to WT)and KCNH2 T436M (7 % in RA and 9 % LA with respect to WT). The KCNE3-V17M
mutation led to arrhythmia in 67 % of the cases simulated and in 94 % of ectopic foci considered, at S2 BCL
equal to 100 ms. The KCNH2 T436M and KCNH2 T895M mutations increased the vulnerability to AF in a similar
way, leading to arrhythmic episodes in 7 % of the simulated conditions, at S2 BCL set to 160 ms. Overall, 60 % of
the arrhythmic events generated arise in the left atrium. Spiral waves, multiple rotors and disordered electrical
pattern were elicited in the presence of the KCNE3-V17M mutation, exhibiting an instantaneous mean frequency
of 7.6 Hz with a mean standard deviation of 1.12 Hz. The scroll waves induced in the presence of the KCNH2
T436M and KCNH2 T895M mutations showed steadiness and regularity with an instantaneous mean frequencies
in the range of 4.9 ¿ 5.1 Hz and a mean standard deviation within 0.19 ¿ 0.53 Hz.
Conclusions: The pro-arrhythmogenicity of the KCNE3-V17M, KCNH2 T895M and KCNH2 T436M mutations was
studied and proved on personalized 3D cardiac models. The three genetic mutations were demonstrated to increase the predisposition of atrial tissue to the formation of AF-susceptible substrate in different ways based on
their effects on electrophysiological properties of the atria.
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113796RB-I00/ES/INTERCULTURALIDAD E INTERCOMPRENSION EN LA EVALUACION DE LA COMPETENCIA DISCURSIVA PLURILINGUE: FORMACION EN RETROALIMENTACION DIGITAL /
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140553OB-C41/ES/MODELADO Y SIMULACION DE LA MEDICINA DE PRECISION EN CARDIOLOGIA/
info:eu-repo/grantAgreement/EC/H2020/766082/EU/MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2020%2F043//MODELOS IN-SILICO MULTI-FISICOS Y MULTI-ESCALA DEL CORAZON PARA EL DESARROLLO DE NUEVOS METODOS DE PREVENCION, DIAGNOSTICO Y TRATAMIENTO EN MEDICINA PERSONALIZADA (HEART IN-SILICO MODELS)/
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Agradecimientos:
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This work was supported by the European Union s Horizon 2020 research and innovation program under the Marie Skodowska-Curie gran agreement No. 766082 (MY-ATRIA project), by the Direccion General de Política Científica de ...[+]
This work was supported by the European Union s Horizon 2020 research and innovation program under the Marie Skodowska-Curie gran agreement No. 766082 (MY-ATRIA project), by the Direccion General de Política Científica de la Generalitat Valenciana (PROMETEO/2020/043) and was partially funded by grant PID2022-140553OB-C41 funded by MICIU/AEI/10.13039/501100011033 and
by ERDF/EU.
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