PDF(Pubmed)
Abstract：
Diabetes mellitus, a metabolic disease characterized by chronically elevated blood glucose levels, affects about 29 million Americans and more than 422 million adults all over the world. Particularly, type 2 diabetes mellitus (T2DM) accounts for 90-95% of the cases of vascular disease and its prevalence is increasing due to the rising obesity rates in modern societies. Although multiple factors associated with diabetes, such as reduced red blood cell (RBC) deformability, enhanced RBC aggregation and adhesion to the endothelium, as well as elevated blood viscosity are thought to contribute to the hemodynamic impairment and vascular occlusion, clinical or experimental studies cannot directly quantify the contributions of these factors to the abnormal hematology in T2DM. Recently, computational modeling has been employed to dissect the impacts of the aberrant biomechanics of diabetic RBCs and their adverse effects on microcirculation. In this review, we summarize the recent advances in the developments and applications of computational models in investigating the abnormal properties of diabetic blood from the cellular level to the vascular level. We expect that this review will motivate and steer the development of new models in this area and shift the attention of the community from conventional laboratory studies to combined experimental and computational investigations, aiming to provide new inspirations for the development of advanced tools to improve our understanding of the pathogenesis and pathology of T2DM.
摘要：
糖尿病,一种以长期升高的血糖水平为特征的代谢性疾病，影响了全世界约2900万美国人和4.22亿成年人。特别是,2型糖尿病（T2DM）占血管疾病病例的90-95％，并且由于现代社会肥胖率的上升，其患病率正在增加。尽管多种因素与糖尿病相关，如红细胞(RBC)可变形性降低，增强红细胞聚集和与内皮的粘附，以及血液粘度升高被认为有助于血液动力学损害和血管闭塞，临床或实验研究无法直接量化这些因素对T2DM血液学异常的影响.最近,已采用计算模型来剖析糖尿病红细胞异常生物力学的影响及其对微循环的不利影响。在这次审查中,我们总结了计算模型在从细胞水平到血管水平研究糖尿病血液异常特性方面的最新进展和应用。我们希望这次审查将激励和引导该领域新模型的开发，并将社区的注意力从传统的实验室研究转移到结合的实验和计算研究，旨在为开发先进的工具提供新的启示，以提高我们对T2DM发病机制和病理的认识。
