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1.
Nat Commun ; 11(1): 512, 2020 01 24.
Artículo en Inglés | MEDLINE | ID: mdl-31980605

RESUMEN

Mechanisms for human sinoatrial node (SAN) dysfunction are poorly understood and whether human SAN excitability requires voltage-gated sodium channels (Nav) remains controversial. Here, we report that neuronal (n)Nav blockade and selective nNav1.6 blockade during high-resolution optical mapping in explanted human hearts depress intranodal SAN conduction, which worsens during autonomic stimulation and overdrive suppression to conduction failure. Partial cardiac (c)Nav blockade further impairs automaticity and intranodal conduction, leading to beat-to-beat variability and reentry. Multiple nNav transcripts are higher in SAN vs atria; heterogeneous alterations of several isoforms, specifically nNav1.6, are associated with heart failure and chronic alcohol consumption. In silico simulations of Nav distributions suggest that INa is essential for SAN conduction, especially in fibrotic failing hearts. Our results reveal that not only cNav but nNav are also integral for preventing disease-induced failure in human SAN intranodal conduction. Disease-impaired nNav may underlie patient-specific SAN dysfunctions and should be considered to treat arrhythmias.


Asunto(s)
Arritmias Cardíacas/fisiopatología , Sistema de Conducción Cardíaco/fisiopatología , Neuronas/metabolismo , Nodo Sinoatrial/fisiopatología , Canales de Sodio/metabolismo , Potenciales de Acción/fisiología , Adulto , Anciano , Alcoholismo/genética , Arritmias Cardíacas/genética , Enfermedad Crónica , Simulación por Computador , Femenino , Atrios Cardíacos/metabolismo , Atrios Cardíacos/fisiopatología , Sistema de Conducción Cardíaco/metabolismo , Insuficiencia Cardíaca/genética , Humanos , Masculino , Persona de Mediana Edad , Modelos Cardiovasculares , Imagen Óptica , Subunidades de Proteína/metabolismo , ARN Mensajero/genética , ARN Mensajero/metabolismo , Nodo Sinoatrial/metabolismo , Canales de Sodio/genética , Estrés Fisiológico , Adulto Joven
2.
JACC Clin Electrophysiol ; 4(12): 1501-1515, 2018 12.
Artículo en Inglés | MEDLINE | ID: mdl-30573112

RESUMEN

OBJECTIVES: This study sought to improve atrial fibrillation (AF) driver identification by integrating clinical multielectrode mapping with driver fingerprints defined by high-resolution ex vivo 3-dimensional (3D) functional and structural imaging. BACKGROUND: Clinical multielectrode mapping of AF drivers suffers from variable contact, signal processing, and structural complexity within the 3D human atrial wall, raising questions on the validity of such drivers. METHODS: Sustained AF was mapped in coronary-perfused explanted human hearts (n = 11) with transmural near-infrared optical mapping (∼0.3 mm2 resolution). Simultaneously, custom FIRMap catheters (∼9 × 9 mm2 resolution) mapped endocardial and epicardial surfaces, which were analyzed by Focal Impulse and Rotor Mapping activation and Rotational Activity Profile (Abbott Labs, Chicago, Illinois). Functional maps were integrated with contrast-enhanced cardiac magnetic resonance imaging (∼0.1 mm3 resolution) analysis of 3D fibrosis architecture. RESULTS: During sustained AF, near-infrared optical mapping identified 1 to 2 intramural, spatially stable re-entrant AF drivers per heart. Driver targeted ablation affecting 2.2 ± 1.1% of the atrial surface terminated and prevented AF. Driver regions had significantly higher phase singularity density and dominant frequency than neighboring nondriver regions. Focal Impulse and Rotor Mapping had 80% sensitivity to near-infrared optical mapping-defined driver locations (16 of 20), and matched 14 of 20 driver visualizations: 10 of 14 re-entries seen with Rotational Activity Profile; and 4 of 6 breakthrough/focal patterns. Focal Impulse and Rotor Mapping detected 1.1 ± 0.9 false-positive rotational activity profiles per recording, but these regions had lower intramural contrast-enhanced cardiac magnetic resonance imaging fibrosis than did driver regions (14.9 ± 7.9% vs. 23.2 ± 10.5%; p < 0.005). CONCLUSIONS: The study revealed that both re-entrant and breakthrough/focal AF driver patterns visualized by surface-only clinical multielectrodes can represent projections of 3D intramural microanatomic re-entries. Integration of multielectrode mapping and 3D fibrosis analysis may enhance AF driver detection, thereby improving the efficacy of driver-targeted ablation.


Asunto(s)
Fibrilación Atrial , Técnicas de Imagen Cardíaca/métodos , Técnicas Electrofisiológicas Cardíacas/métodos , Corazón , Fibrilación Atrial/diagnóstico por imagen , Fibrilación Atrial/fisiopatología , Corazón/diagnóstico por imagen , Corazón/fisiopatología , Humanos , Interpretación de Imagen Asistida por Computador , Imagen por Resonancia Magnética , Procesamiento de Señales Asistido por Computador
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