Li Xuejin, Du E, Dao Ming, Suresh Subra, Karniadakis George Em
Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol. 2017 Mar 13;13(3):e1005426. doi: 10.1371/journal.pcbi.1005426. eCollection 2017 Mar.
Sickle cell disease (SCD) is a highly complex genetic blood disorder in which red blood cells (RBC) exhibit heterogeneous morphology changes and decreased deformability. We employ a kinetic model for cell morphological sickling that invokes parameters derived from patient-specific data. This model is used to investigate the dynamics of individual sickle cells in a capillary-like microenvironment in order to address various mechanisms associated with SCD. We show that all RBCs, both hypoxia-unaffected and hypoxia-affected ones, regularly pass through microgates under oxygenated state. However, the hypoxia-affected cells undergo sickling which significantly alters cell dynamics. In particular, the dense and rigid sickle RBCs are obstructed thereby clogging blood flow while the less dense and deformable ones are capable of circumnavigating dead (trapped) cells ahead of them by choosing a serpentine path. Informed by recent experiments involving microfluidics that provide in vitro quantitative information on cell dynamics under transient hypoxia conditions, we have performed detailed computational simulations of alterations to cell behavior in response to morphological changes and membrane stiffening. Our model reveals that SCD exhibits substantial heterogeneity even within a particular density-fractionated subpopulation. These findings provide unique insights into how individual sickle cells move through capillaries under transient hypoxic conditions, and offer novel possibilities for designing effective therapeutic interventions for SCD.
镰状细胞病(SCD)是一种高度复杂的遗传性血液疾病,其中红细胞(RBC)呈现出异质性形态变化且可变形性降低。我们采用了一种细胞形态镰变动力学模型,该模型调用了源自患者特定数据的参数。此模型用于研究在类似毛细血管的微环境中单个镰状细胞的动态变化,以探讨与SCD相关的各种机制。我们发现,所有红细胞,无论是未受缺氧影响的还是受缺氧影响的,在氧合状态下都会定期通过微通道。然而,受缺氧影响的细胞会发生镰变,这会显著改变细胞动态。特别是,致密且僵硬的镰状红细胞会受到阻碍,从而阻塞血流,而密度较小且可变形的红细胞则能够通过选择蜿蜒路径绕过前方死亡(被困)的细胞。基于最近涉及微流控技术的实验,这些实验提供了关于瞬态缺氧条件下细胞动态的体外定量信息,我们对细胞行为因形态变化和膜硬化而发生的改变进行了详细的计算模拟。我们的模型表明,即使在特定密度分级的亚群中,SCD也表现出显著的异质性。这些发现为单个镰状细胞在瞬态缺氧条件下如何通过毛细血管移动提供了独特的见解,并为设计有效的SCD治疗干预措施提供了新的可能性。