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1.
J Pharmacol Toxicol Methods ; 87: 68-73, 2017 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-28456609

RESUMEN

INTRODUCTION: Drug-induced proarrhythmic potential is an important regulatory criterion in safety pharmacology. The application of in silico approaches to predict proarrhythmic potential of new compounds is under consideration as part of future guidelines. Current approaches simulate the electrophysiology of a single human adult ventricular cardiomyocyte. However, drug-induced proarrhythmic potential can be different when cardiomyocytes are surrounded by non-muscle cells. Incorporating fibroblasts in models of myocardium is important particularly for predicting a drugs cardiac liability in the aging population - a growing population who take more medications and exhibit increased cardiac fibrosis. In this study, we used computational models to investigate the effects of fibroblast coupling on the electrophysiology and response to drugs of cardiomyocytes. METHODS: A computational model of cardiomyocyte electrophysiology and ion handling (O'Hara, Virag, Varro, & Rudy, 2011) is coupled to a passive model of fibroblast electrophysiology to test the effects of three compounds that block cardiomyocyte ion channels. Results are compared to model results without fibroblast coupling to see how fibroblasts affect cardiomyocyte action potential duration at 90% repolarization (APD90) and propensity for early after depolarization (EAD). RESULTS: Simulation results show changes in cardiomyocyte APD90 with increasing concentration of three drugs that affect cardiac function (dofetilide, vardenafil and nebivolol) when no fibroblasts are coupled to the cardiomyocyte. Coupling fibroblasts to cardiomyocytes markedly shortens APD90. Moreover, increasing the number of fibroblasts can augment the shortening effect. DISCUSSION: Coupling cardiomyocytes and fibroblasts are predicted to decrease proarrhythmic susceptibility under dofetilide, vardenafil and nebivolol block. However, this result is sensitive to parameters which define the electrophysiological function of the fibroblast. Fibroblast membrane capacitance and conductance (CFB and GFB) have less of an effect on APD90 than the fibroblast resting membrane potential (EFB). This study suggests that in both theoretical models and experimental tissue constructs that represent cardiac tissue, both cardiomyocytes and non-muscle cells should be considered when testing cardiac pharmacological agents.


Asunto(s)
Antiarrítmicos/farmacología , Simulación por Computador , Fibroblastos/fisiología , Miocitos Cardíacos/fisiología , Animales , Antiarrítmicos/efectos adversos , Evaluación Preclínica de Medicamentos/métodos , Fibroblastos/efectos de los fármacos , Humanos , Potenciales de la Membrana/efectos de los fármacos , Potenciales de la Membrana/fisiología , Miocitos Cardíacos/efectos de los fármacos
2.
Am J Physiol Heart Circ Physiol ; 301(2): H331-43, 2011 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-21572020

RESUMEN

Microcirculatory vessel response to changes in pressure, known as the myogenic response, is a key component of a tissue's ability to regulate blood flow. Experimental studies have not clearly elucidated the mechanical signal in the vessel wall governing steady-state reduction in vessel diameter upon an increase in intraluminal pressure. In this study, a multiscale computational model is constructed from established models of vessel wall mechanics, vascular smooth muscle (VSM) force generation, and VSM Ca(2+) handling and electrophysiology to compare the plausibility of vessel wall stress or strain as an effective mechanical signal controlling steady-state vascular contraction in the myogenic response. It is shown that, at the scale of a resistance vessel, wall stress, and not stretch (strain), is the likely physiological signal controlling the steady-state myogenic response. The model is then used to test nine candidate VSM stress-controlled channel variants by fitting two separate sets of steady-state myogenic response data. The channel variants include nonselective cation (NSC), supplementary Ca(2+) and Na(+), L-type Ca(2+), and large conductance Ca(2+)-activated K(+) channels. The nine variants are tested in turn, and model fits suggest that stress control of Ca(2+) or Na(+) influx through NSC, supplementary Ca(2+) or Na(+), or L-type Ca(2+) channels is sufficient to produce observed steady-state diameter changes with pressure. However, simulations of steady-state VSM membrane potential, cytosolic Ca(2+), and Na(+) with pressure show only that Na(+) influx through NSC channel also generates known trends with increasing pressure, indicating that stress-controlled Na(+) influx through NSC is sufficient to generate the myogenic response.


Asunto(s)
Presión Sanguínea , Canales Iónicos/metabolismo , Mecanotransducción Celular , Modelos Cardiovasculares , Músculo Liso Vascular/metabolismo , Miocitos del Músculo Liso/metabolismo , Animales , Arteriolas/metabolismo , Canales de Calcio Tipo L/metabolismo , Señalización del Calcio , Simulación por Computador , Activación del Canal Iónico , Cinética , Potenciales de la Membrana , Mesenterio/irrigación sanguínea , Ratas , Canales de Sodio/metabolismo , Estrés Mecánico
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