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Lattice Boltzmann modelling of blood cell dynamics

机译:血细胞动力学的格子波尔兹曼模型

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摘要

Many diseases are a result of, or are associated with, abnormal blood flow. Usually, these abnormalities are caused by unhealthy red blood cells with modified shape which have difficulty traversing the microvessels. Unfortunately, experimental approaches to these problems are limited due to difficulties in isolating the critical determinants of flow in vivo or in vitro. Computer models overcome these problems, but most strive only to reproduce the macroscopic, continuum aspect of blood flow by making many simplifying assumptions. Unfortunately, these models cannot address the relationship between microscopic, cellular flow dynamics and macroscopic, bulk blood rheology. Here, we demonstrate the wide applicability of a novel, computational model for simulating blood flow that includes each blood cell explicitly. This fully 3D model accounts for cell membrane dynamics and reproduces rest shapes accurately. This model allows us to: (i) extract empirical relationships for use in macroscopic models and (ii) simulate various disease states to identify potential targets for therapy. We show here that the model accurately reproduces the well-documented flow relationships for healthy blood, and also predicts the abnormalities in blood rheology exhibited by malaria and sickle cell patients.
机译:许多疾病是异常血流的结果或与之有关。通常,这些异常是由形状不正确的不健康的红细胞引起的,这些红细胞难以穿过微血管。不幸的是,由于难以分离体内或体外血流的关键决定因素,解决这些问题的实验方法受到限制。计算机模型克服了这些问题,但是大多数模型都只是通过做出许多简化的假设来努力再现宏观的,连续的血流方面。不幸的是,这些模型无法解决微观,细胞流动动力学与宏观,大量血液流变学之间的关系。在这里,我们展示了一种新颖的计算模型的广泛适用性,该模型可以显式地模拟包括每个血细胞的血流。这个完整的3D模型可说明细胞膜动力学并准确地复制静止形状。该模型使我们能够:(i)提取经验关系以用于宏观模型,以及(ii)模拟各种疾病状态以识别潜在的治疗靶标。我们在这里表明,该模型可以准确地再现健康血液的有据可查的血流关系,并且还可以预测疟疾和镰状细胞患者表现出的血液流变学异常。

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