Predicting optimal hematocrit in silico
Predicting optimal hematocrit in silico
复制标题
通过计算机预测最佳血细胞比容
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
C. Misbah
中科院分区：
文献类型：
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作者：
A. Farutin;Zaiyi Shen;Gael Prado;Vassanti Audemar;H. Ez‐zahraouy;A. Benyoussef;B. Polack;J. Harting;Petia M. Vlahovska;Thomas Podgorski;G. Coupier;C. Misbah
最佳红细胞压积$H_o$最大化氧运输。在健康人群中，平均血细胞比容$H$在40- 45%之间，但在血液病中，如严重贫血（低$H$）和红细胞增多症（高$H$），红细胞比容$H$会发生显著变化。人类的红细胞压积水平是否符合最佳水平是一个长期存在的生理学问题。本文采用晶格玻尔兹曼方法和红细胞的两种力学模型进行数值模拟，预测了红细胞的最佳压积，并探讨了改变红细胞的力学性质对H_o$的影响。我们开发了一种简化的分析理论，该理论解释了从数值模拟中获得的结果，并提供了对决定$H_o$的物理机制的见解。我们的数值和分析模型可以很容易地进行修改，以纳入红细胞和其他软颗粒的广泛机械特性，从而为合理设计血液替代品提供手段。我们的工作为系统的理论研究最佳红细胞压积及其与各种疾病（如镰状细胞性贫血、糖尿病、疟疾、椭圆细胞症）相关的病理性红细胞的联系奠定了基础。
Optimal hematocrit $H_o$ maximizes oxygen transport. In healthy humans, the average hematocrit $H$ is in the range of 40-45$\%$, but it can significantly change in blood pathologies such as severe anemia (low $H$) and polycythemia (high $H$). Whether the hematocrit level in humans corresponds to the optimal one is a long standing physiological question. Here, using numerical simulations with the Lattice Boltzmann method and two mechanical models of the red blood cell (RBC) we predict the optimal hematocrit, and explore how altering the mechanical properties of RBCs affects $H_o$. We develop a simplified analytical theory that accounts for results obtained from numerical simulations and provides insight into the physical mechanisms determining $H_o$. Our numerical and analytical models can easily be modified to incorporate a wide range of mechanical properties of RBCs as well as other soft particles thereby providing means for the rational design of blood substitutes. Our work lays the foundations for systematic theoretical study of the optimal hematocrit and its link with pathological RBCs associated with various diseases (e.g. sickle cell anemia, diabetes mellitus, malaria, elliptocytosis).