Exploring relationship between hypercholesterolemia and instability of atherosclerotic plaque - An approach based on a matrix population model.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Mateusz Twardawa, Kaja Gutowska, Piotr Formanowicz
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引用次数: 0

Abstract

Background: Cardiovascular diseases have long been studied to identify their causal factors and counteract them effectively. Atherosclerosis, an inflammatory process of the blood vessel wall, is a common cardiovascular disease. Among the many well-known risk factors, hypercholesterolemia is undoubtedly a significant condition for atherosclerotic plaque formation and is linked to atherosclerosis on many levels, i.e. cell interactions, cytokines levels, diet, and lifestyle. Current studies suggest that controlling balance between proinflammatory (M1) and anti-inflammatory (M2) types of macrophages may be used for patient condition improvement and necrotic core reduction. Methods: This study considered the effects of hypercholesterolemia on the population dynamics of macrophages (M0, M1, M2, foam cells) in atherosclerotic plaque. A mathematical model using a matrix approach to population dynamics was proposed and tested in various scenarios. In order to check model sensitivity and variability associated with error propagation, the uncertainty analysis was performed based on the Monte Carlo approach. Results: Simulations of macrophage population dynamics provided the assessment of necrotic core development and plaque instability. Excess lipid levels emerged as the most critical factor for necrotic core development. However, plaque growth can be significantly slowed if macrophages and foam cells can maintain proper lipid levels. This balance may be disrupted by proinflammatory lipids that eventually will increase plaque size, what is also reflected by M1/M2 dynamics. Conclusion: Hypercholesterolemia accelerates atherosclerosis development, leading to earlier cardiovascular incidents. In silico results suggest that reducing lipid intake and portion of proinflammatory lipids is crucial to slowing plaque development and reducing rupture risk, all of which requires preserving fragile M1/M2 balance. Targeting the inflammatory microenvironment and macrophage polarization represents a promising approach for atherosclerosis management.

探索高胆固醇血症与动脉粥样硬化斑块不稳定性之间的关系-基于基质群体模型的方法。
背景:长期以来,人们一直在研究心血管疾病,以确定其病因并有效地防治它们。动脉粥样硬化是一种血管壁的炎症过程,是一种常见的心血管疾病。在许多众所周知的危险因素中,高胆固醇血症无疑是动脉粥样硬化斑块形成的重要条件,并且在许多层面上与动脉粥样硬化有关,如细胞相互作用、细胞因子水平、饮食和生活方式。目前的研究表明,控制促炎型(M1)和抗炎型(M2)巨噬细胞之间的平衡可能用于改善患者病情和减少坏死核心。方法:本研究考虑高胆固醇血症对动脉粥样硬化斑块中巨噬细胞(M0、M1、M2、泡沫细胞)种群动态的影响。提出了一种利用矩阵方法来研究种群动态的数学模型,并在各种情况下进行了测试。为了检查模型的灵敏度和与误差传播相关的可变性,基于蒙特卡罗方法进行了不确定性分析。结果:巨噬细胞种群动态模拟提供了坏死核心发展和斑块不稳定性的评估。过高的脂质水平成为坏死性核心发展的最关键因素。然而,如果巨噬细胞和泡沫细胞能够维持适当的脂质水平,斑块的生长可以显著减缓。这种平衡可能被促炎脂质破坏,最终会增加斑块大小,这也反映在M1/M2动力学中。结论:高胆固醇血症加速动脉粥样硬化的发展,导致更早的心血管事件。计算机实验结果表明,减少脂质摄入和部分促炎脂质对于减缓斑块发展和降低破裂风险至关重要,所有这些都需要保持脆弱的M1/M2平衡。靶向炎症微环境和巨噬细胞极化是动脉粥样硬化治疗的一种很有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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