心肌梗死的数值模拟。2巨噬细胞极化作为治疗靶点的机制分析

Q3 Mathematics
O.F. Voropaeva, Ch.A. Tsgoev
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引用次数: 0

摘要

在本研究中,我们利用无菌性炎症动力学的最小数学模型,探讨巨噬细胞极化的机制及其在大范围梗死发展中的意义。在局部近似和二维非平稳公式中考虑了该问题。本研究旨在解决在制定治疗策略和完善“治疗窗口”的背景下分析巨噬细胞极化的一般原理的相关问题。确定了增强巨噬细胞极化治疗效果的关键趋势,并提供了产生器官保存和再生效果的最佳巨噬细胞干预措施的近似估计。我们的研究结果表明,M1/M2巨噬细胞极化是至少两种机制相互作用的结果——细胞因子依赖性激活和活化巨噬细胞的重编程。此外,我们的建模数据表明巨噬细胞重编程作为对微环境变化的直接反应的关键作用,促进了有利的疾病进展及其结果。此外,我们发现巨噬细胞极化过程在局灶性炎症的定位中起着至关重要的作用,导致有限尺寸的梗死核心和外围的准静止结构的形成,包括免疫细胞簇。模型结果与实验数据在定性和定量上都是一致的。重要的是,计算实验结果与大多数实验室和临床研究一致,强调巨噬细胞极化管理作为一种有前途的治疗策略的治疗潜力。该论文是先前发表的一系列工作的后续,致力于研究心肌细胞炎症和死亡过程发展的空间和时间方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical modelling of myocardial infarction. II. Analysis of macrophage polarization mechanism as a therapeutic target
In this study, we explore the mechanism of macrophage polarization and its significance in the development of large-scale infarction with favorable outcomes, using a minimal mathematical model of aseptic inflammation dynamics. The problem is considered in the local approximation and in the two-dimensional non-stationary formulation. The study aims to address the pertinent problem of analyzing general principles governing macrophage polarization in the context of devising therapeutic strategies and refining the "therapeutic window". Key trends are identified to enhance the effectiveness of macrophage polarization for therapeutic purposes, along with providing approximate estimations of optimal macrophage interventions that yield organ-preserving and regenerative effects. Our findings reveal that M1/M2 macrophage polarization results from an additive interplay of at least two mechanisms - cytokine-dependent activation and reprogramming of activated macrophages. Furthermore, our modeling data demonstrate the pivotal role of macrophage reprogramming as a direct response to microenvironmental changes, facilitating favorable disease progression and its outcomes. Moreover, we establish that the process of macrophage polarization plays a crucial role in localizing focal inflammation, leading to the formation of the infarction core within finite dimensions and quasi-stationary structure at the periphery, comprising immune cell clusters. The modeling results exhibit qualitative and quantitative agreement with the experimental data. Importantly, the computational experiments results align with the majority of laboratory and clinical studies, emphasizing the therapeutic potential of macrophage polarization management as a promising treatment strategy. The paper is a follow-up of the previously published work series, devoted to the study of spatial and temporal aspects of the inflammation and death processes development in heart muscle cells.
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
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0.00%
发文量
13
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