Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Biosensors (Basel). 2018 Aug 10;8(3):76. doi: 10.3390/bios8030076.
In red blood cell (RBC) disorders, such as sickle cell disease, hereditary spherocytosis, and diabetes, alterations to the size and shape of RBCs due to either mutations of RBC proteins or changes to the extracellular environment, lead to compromised cell deformability, impaired cell stability, and increased propensity to aggregate. Numerous laboratory approaches have been implemented to elucidate the pathogenesis of RBC disorders. Concurrently, computational RBC models have been developed to simulate the dynamics of RBCs under physiological and pathological conditions. In this work, we review recent laboratory and computational studies of disordered RBCs. Distinguished from previous reviews, we emphasize how experimental techniques and computational modeling can be synergically integrated to improve the understanding of the pathophysiology of hematological disorders.
在红细胞(RBC)疾病中,如镰状细胞病、遗传性球形红细胞增多症和糖尿病,由于 RBC 蛋白的突变或细胞外环境的变化,导致 RBC 的大小和形状发生改变,从而使细胞变形能力受损、细胞稳定性下降、聚集倾向增加。已经实施了许多实验室方法来阐明 RBC 疾病的发病机制。同时,还开发了计算 RBC 模型来模拟生理和病理条件下 RBC 的动力学。在这项工作中,我们回顾了最近关于 RBC 紊乱的实验室和计算研究。与以前的综述不同,我们强调了实验技术和计算建模如何协同整合,以改善对血液疾病病理生理学的理解。