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1.
Biomech Model Mechanobiol ; 16(5): 1503-1517, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-28364199

RESUMO

Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart's energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner-before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations.


Assuntos
Metabolismo Energético , Ventrículos do Coração/fisiopatologia , Hidrodinâmica , Infarto do Miocárdio/fisiopatologia , Animais , Simulação por Computador , Processamento de Imagem Assistida por Computador , Imageamento por Ressonância Magnética , Volume Sistólico , Sus scrofa
2.
Nat Genet ; 49(1): 46-53, 2017 01.
Artigo em Inglês | MEDLINE | ID: mdl-27869827

RESUMO

Titin-truncating variants (TTNtv) commonly cause dilated cardiomyopathy (DCM). TTNtv are also encountered in ∼1% of the general population, where they may be silent, perhaps reflecting allelic factors. To better understand TTNtv, we integrated TTN allelic series, cardiac imaging and genomic data in humans and studied rat models with disparate TTNtv. In patients with DCM, TTNtv throughout titin were significantly associated with DCM. Ribosomal profiling in rat showed the translational footprint of premature stop codons in Ttn, TTNtv-position-independent nonsense-mediated degradation of the mutant allele and a signature of perturbed cardiac metabolism. Heart physiology in rats with TTNtv was unremarkable at baseline but became impaired during cardiac stress. In healthy humans, machine-learning-based analysis of high-resolution cardiac imaging showed TTNtv to be associated with eccentric cardiac remodeling. These data show that TTNtv have molecular and physiological effects on the heart across species, with a continuum of expressivity in health and disease.


Assuntos
Cardiomiopatia Dilatada/genética , Conectina/genética , Variação Genética/genética , Coração/fisiologia , Animais , Cardiomiopatia Dilatada/patologia , Estudos de Casos e Controles , Estudos de Coortes , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Masculino , Ratos
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