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MULTISCALE MODELING OF BLOOD FLOW IN CEREBRAL MALARIA

机译:脑疟疾血流的多尺度模拟

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Healthy red blood cells (RBCs) have relatively soft membranes that allow them to pass through narrow capillaries of the diameter as small as 3 fxm. Recent experiments [1] showed that malaria-parasitized RBCs are characterized by a considerable stiffening of their membranes compared to healthy RBCs. This results in an increased blood flow resistance in the capillary bed, and may lead to an obstruction of small capillaries and significant blood-flow reduction. In addition, malaria-infected cells are able to adhere to each other and endothelium in arterioles and venules leading to more severe blood-flow reduction or blockage. Blood flow in cerebral malaria is extremely complex due to the mentioned effects, and requires multiscale modeling of RBCs and adhesive interactions. We developed a coarse-grained RBC model which is able to accurately reproduce RBCs mechanics and dynamics for different malaria stages: ring-trophozoite-schizont from the earliest to the latest. RBC adhesion is simulated based on the stochastic bond formation/dissociation model, which is able to capture complex adhesive dynamics.
机译:健康的红细胞(RBC)具有相对较软的膜,使它们可以通过直径仅为3 fxm的狭窄毛细血管。最近的实验[1]表明,与健康的RBC相比,疟疾寄生的RBC的膜具有明显的硬化作用。这导致毛细血管床中的血流阻力增加,并且可能导致小毛细血管阻塞和血流显着减少。此外,感染疟疾的细胞能够相互粘附,并粘附在小动脉和小静脉中的内皮上,从而导致严重的血流减少或阻塞。由于上述影响,脑疟疾中的血流极为复杂,因此需要对RBC和黏附剂相互作用进行多尺度建模。我们开发了一种粗粒度的RBC模型,该模型能够准确地再现不同疟疾阶段的RBC力学和动力学:从最早到最新的环状滋养体-裂殖体。基于随机键形成/解离模型模拟RBC粘附力,该模型能够捕获复杂的粘合剂动力学。

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