Cai Yan, Li Zhiyong
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China.
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia.
Comput Methods Programs Biomed. 2021 Nov;211:106435. doi: 10.1016/j.cmpb.2021.106435. Epub 2021 Sep 22.
Mathematical modeling contributes to pathophysiological research of atherosclerosis by helping to elucidate mechanisms and by providing quantitative predictions that can be validated. In turn, the complexity of atherosclerosis is well suited to quantitative approaches as it provides challenges and opportunities for new developments of modeling. In this review, we summarize the current 'state of the art' on the mathematical modeling of the effects of biomechanical factors and microenvironmental factors on the plaque progression, and its potential help in prediction of plaque development. We begin with models that describe the biomechanical environment inside and outside the plaque and its influence on its growth and rupture. We then discuss mathematical models that describe the dynamic evolution of plaque microenvironmental factors, such as lipid deposition, inflammation, smooth muscle cells migration and intraplaque hemorrhage, followed by studies on plaque growth and progression using these modelling approaches. Moreover, we present several key questions for future research. Mathematical models can complement experimental and clinical studies, but also challenge current paradigms, redefine our understanding of mechanisms driving plaque vulnerability and propose future potential direction in therapy for cardiovascular disease.
数学建模通过帮助阐明机制和提供可验证的定量预测,为动脉粥样硬化的病理生理学研究做出了贡献。反过来,动脉粥样硬化的复杂性非常适合定量方法,因为它为建模的新发展提供了挑战和机遇。在本综述中,我们总结了关于生物力学因素和微环境因素对斑块进展影响的数学建模的当前“技术现状”,及其在预测斑块发展方面的潜在帮助。我们首先介绍描述斑块内外生物力学环境及其对斑块生长和破裂影响的模型。然后,我们讨论描述斑块微环境因素动态演变的数学模型,如脂质沉积、炎症、平滑肌细胞迁移和斑块内出血,接着介绍使用这些建模方法对斑块生长和进展的研究。此外,我们还提出了未来研究的几个关键问题。数学模型可以补充实验和临床研究,但也挑战了当前的范式,重新定义了我们对驱动斑块易损性机制的理解,并提出了心血管疾病治疗的未来潜在方向。