Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization.

Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization.
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DOI:
10.3389/fphys.2021.694940
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发表时间:
2021
影响因子:
4
通讯作者:
Nguyen CT
Nguyen CT
中科院分区:
医学2区
文献类型:
--
作者:
Fan Y;Coll-Font J;van den Boomen M;Kim JH;Chen S;Eder RA;Roche ET;Nguyen CT

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心肌细胞生长可以在生理性(运动诱导的)和病理性(例如,容量超负荷和压力超负荷)状况,导致左心室(LV)肥大。使用动物模型和组织学的研究已经分别证明了器官水平和组织细胞水平的生长和重塑过程。然而,生长的驱动因素以及器官、组织和细胞生长之间的机械联系仍然知之甚少。计算模型有可能通过使用描述心肌生长和重塑过程的本构模型,结合有限元(FE)分析,在器官水平上对心脏的生物力学进行建模,从而弥合这一差距。使用在两个不同时间点的LV几何结构的受试者特异性成像数据,可以用逆方法创建FE模型以表征每个受试者的生长参数。在这项研究中,我们开发了一个框架,在体内心脏磁共振(CMR)成像数据的运动猪模型,并使用FE和贝叶斯优化来表征心肌生长的横向和纵向方向。通过成功预测18个合成LV靶向掩模的生长参数证明了该框架的有效性,这些掩模由三种LV猪几何形状产生。该框架进一步用于表征4只经过锻炼的猪受试者的生长参数。研究表明,与横向生长(6周后4.0 ± 8.0%和12周后7.8 ± 9.4%)相比,猪运动诱导生长更倾向于纵向心肌细胞生长(6周后58.0 ± 19.6%和12周后79.3 ± 15.6%)。该框架可用于表征不同LV肥大表型的心肌生长,并可与其他生长组成模型结合,以研究不同的假设生长机制。
Cardiomyocyte growth can occur in both physiological (exercised-induced) and pathological (e.g., volume overload and pressure overload) conditions leading to left ventricular (LV) hypertrophy. Studies using animal models and histology have demonstrated the growth and remodeling process at the organ level and tissue–cellular level, respectively. However, the driving factors of growth and the mechanistic link between organ, tissue, and cellular growth remains poorly understood. Computational models have the potential to bridge this gap by using constitutive models that describe the growth and remodeling process of the myocardium coupled with finite element (FE) analysis to model the biomechanics of the heart at the organ level. Using subject-specific imaging data of the LV geometry at two different time points, an FE model can be created with the inverse method to characterize the growth parameters of each subject. In this study, we developed a framework that takes in vivo cardiac magnetic resonance (CMR) imaging data of exercised porcine model and uses FE and Bayesian optimization to characterize myocardium growth in the transverse and longitudinal directions. The efficacy of this framework was demonstrated by successfully predicting growth parameters of 18 synthetic LV targeted masks which were generated from three LV porcine geometries. The framework was further used to characterize growth parameters in 4 swine subjects that had been exercised. The study suggested that exercise-induced growth in swine is prone to longitudinal cardiomyocyte growth (58.0 ± 19.6% after 6 weeks and 79.3 ± 15.6% after 12 weeks) compared to transverse growth (4.0 ± 8.0% after 6 weeks and 7.8 ± 9.4% after 12 weeks). This framework can be used to characterize myocardial growth in different phenotypes of LV hypertrophy and can be incorporated with other growth constitutive models to study different hypothetical growth mechanisms.
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