Suppr超能文献

戈谢病中血液和红细胞的计算机模拟生物物理学与流变学

In silico biophysics and rheology of blood and red blood cells in Gaucher Disease.

作者信息

Chai Zhaojie, Li Guansheng, Ndour Papa Alioune, Connes Philippe, Buffet Pierre A, Franco Melanie, Karniadakis George Em

机构信息

Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.

Université Paris-Cité, INSERM, EFS, BIGR U1134, Paris, France.

出版信息

PLoS Comput Biol. 2025 Sep 10;21(9):e1012705. doi: 10.1371/journal.pcbi.1012705. eCollection 2025 Sep.

Abstract

Gaucher Disease (GD) is a rare genetic disorder characterized by a deficiency in the enzyme glucocerebrosidase, leading to the accumulation of glucosylceramide in various cells, including red blood cells (RBCs). This accumulation results in altered biomechanical properties and rheological behavior of RBCs, which may play an important role in blood rheology and the development of bone infarcts, avascular necrosis (AVN) and other bone diseases associated with GD. In this study, dissipative particle dynamics (DPD) simulations are employed to investigate the biomechanics and rheology of blood and RBCs in GD under various flow conditions. The model incorporates the unique characteristics of GD RBCs, such as decreased deformability and increased aggregation properties, and aims to capture the resulting changes in RBC biophysics and blood viscosity. This study is the first to explore the Young's modulus and aggregation parameters of GD RBCs by validating simulations with confocal imaging and experimental RBC disaggregation thresholds. Through in silico simulations, we examine the impact of hematocrit, RBC disaggregation threshold, and cell stiffness on blood viscosity in GD. The results reveal three distinct domains of GD blood viscosity based on shear rate: the aggregation domain, where the RBC disaggregation threshold predominantly influences blood viscosity; the transition area, where both RBC aggregation and stiffness impact on blood viscosity; and the stiffness domain, where the stiffness of RBCs emerges as the primary determinant of blood viscosity. By analyzing RBC mechanical properties and blood viscosity in relation to bone disease, we find that the RBC aggregation properties, deformability, and blood viscosity, may contribute to its onset. These findings enhance our understanding of how changes in RBC properties impact on blood viscosity and may affect bone health, offering a partial explanation for the bone complications observed in GD patients.

摘要

戈谢病(GD)是一种罕见的遗传性疾病,其特征是缺乏葡萄糖脑苷脂酶,导致葡萄糖神经酰胺在包括红细胞(RBC)在内的各种细胞中积累。这种积累导致红细胞的生物力学特性和流变行为发生改变,这可能在血液流变学以及与戈谢病相关的骨梗死、无血管坏死(AVN)和其他骨疾病的发展中起重要作用。在本研究中,采用耗散粒子动力学(DPD)模拟来研究在各种流动条件下戈谢病患者血液和红细胞的生物力学和流变学。该模型纳入了戈谢病红细胞的独特特征,如变形性降低和聚集特性增加,旨在捕捉红细胞生物物理学和血液粘度的相应变化。本研究首次通过共聚焦成像验证模拟和实验性红细胞解聚阈值来探索戈谢病红细胞的杨氏模量和聚集参数。通过计算机模拟,我们研究了血细胞比容、红细胞解聚阈值和细胞硬度对戈谢病患者血液粘度的影响。结果揭示了基于剪切速率的戈谢病血液粘度的三个不同区域:聚集区域,其中红细胞解聚阈值主要影响血液粘度;过渡区域,其中红细胞聚集和硬度均影响血液粘度;以及硬度区域,其中红细胞硬度成为血液粘度的主要决定因素。通过分析与骨疾病相关的红细胞力学特性和血液粘度,我们发现红细胞聚集特性、变形性和血液粘度可能促成其发病。这些发现增强了我们对红细胞特性变化如何影响血液粘度以及可能影响骨骼健康的理解,为戈谢病患者中观察到的骨并发症提供了部分解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715f/12435781/b601199da0af/pcbi.1012705.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验