Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
J Physiol. 2012 Sep 15;590(18):4585-602. doi: 10.1113/jphysiol.2012.229484. Epub 2012 Apr 10.
Effective management of healing and remodelling after myocardial infarction is an important problem in modern cardiology practice. We have recently shown that the level of infarct anisotropy is a critical determinant of heart function following a large anterior infarction, which suggests that therapeutic gains may be realized by controlling infarct anisotropy. However, factors regulating infarct anisotropy are not well understood. Mechanical, structural and chemical guidance cues have all been shown to regulate alignment of fibroblasts and collagen in vitro, and prior studies have proposed that each of these cues could regulate anisotropy of infarct scar tissue, but understanding of fibroblast behaviour in the complex environment of a healing infarct is lacking. We developed an agent-based model of infarct healing that accounted for the combined influence of these cues on fibroblast alignment, collagen deposition and collagen remodelling. We pooled published experimental data from several sources in order to determine parameter values, then used the model to test the importance of each cue for predicting collagen alignment measurements from a set of recent cryoinfarction experiments. We found that although chemokine gradients and pre-existing matrix structures had important effects on collagen organization, a response of fibroblasts to mechanical cues was critical for correctly predicting collagen alignment in infarct scar. Many proposed therapies for myocardial infarction, such as injection of cells or polymers, alter the mechanics of the infarct region. Our modelling results suggest that such therapies could change the anisotropy of the healing infarct, which could have important functional consequences. This model is therefore a potentially important tool for predicting how such interventions change healing outcomes.
心肌梗死后的愈合和重塑的有效管理是现代心脏病学实践中的一个重要问题。我们最近表明,梗死各向异性的水平是大前壁梗死后心脏功能的一个关键决定因素,这表明通过控制梗死各向异性可以实现治疗效果的提高。然而,调节梗死各向异性的因素尚不清楚。机械、结构和化学导向线索都已被证明可以调节成纤维细胞和胶原蛋白在体外的排列,先前的研究提出,这些线索中的每一种都可以调节梗死瘢痕组织的各向异性,但对愈合梗死复杂环境中成纤维细胞行为的理解还很缺乏。我们开发了一种基于代理的梗死愈合模型,该模型考虑了这些线索对成纤维细胞排列、胶原蛋白沉积和胶原蛋白重塑的综合影响。我们汇集了来自多个来源的已发表的实验数据,以确定参数值,然后使用该模型来测试每个线索对于预测一组最近的冷冻梗死实验中胶原蛋白排列测量值的重要性。我们发现,尽管趋化因子梯度和预先存在的基质结构对胶原蛋白组织有重要影响,但成纤维细胞对机械线索的反应对于正确预测梗死瘢痕中的胶原蛋白排列至关重要。许多心肌梗死的拟议疗法,如细胞或聚合物的注射,改变了梗死区域的力学特性。我们的建模结果表明,此类疗法可能会改变愈合梗死的各向异性,这可能会产生重要的功能后果。因此,该模型是预测此类干预如何改变愈合结果的一个潜在重要工具。