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血栓形成的多尺度模型。

Multiscale models of thrombogenesis.

机构信息

Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2012 May-Jun;4(3):237-46. doi: 10.1002/wsbm.1160. Epub 2012 Jan 13.

Abstract

To restrict the loss of blood follow from the rupture of blood vessels, the human body rapidly forms a clot consisting of platelets and fibrin. However, to prevent pathological clotting within vessels as a result of vessel damage, the response must be regulated. Clots forming within vessels (thrombi) can restrict the flow of blood causing damage to tissues in the flow field. Additionally, fragments dissociating from the primary thrombus (emboli) may lodge and clog vessels in the brain (causing ischemic stroke) or lungs (resulting in pulmonary embolism). Pathologies related to the obstruction of blood flow through the vasculature are the major cause of mortality in the United States. Venous thromboembolic disease alone accounts for 900,000 hospitalizations and 300,000 deaths per year and the incidence will increase as the population ages (Wakefield et al. J Vasc Surg 2009, 49:1620-1623). Thus, understanding the interplay between the many processes involved in thrombus development is of significant biomedical value. In this article, we first review computational models of important subprocesses of hemostasis/thrombosis including coagulation reactions, platelet activation, and fibrin assembly, respectively. We then describe several multiscale models integrating these subprocesses to simulate temporal and spatial development of thrombi. The development of validated computational models and predictive simulations will enable one to explore how the variation of multiple hemostatic factors affects thrombotic risk providing an important new tool for thrombosis research.

摘要

为了防止血管破裂导致的血液流失,人体会迅速形成由血小板和纤维蛋白组成的血栓。然而,为了防止血管损伤导致的病理性血栓形成,这种反应必须得到调节。在血管内形成的血栓(血栓)会限制血液流动,导致血流中的组织受损。此外,从主血栓(栓子)上分离的碎片可能会在大脑(导致缺血性中风)或肺部(导致肺栓塞)中阻塞血管。与血管血流阻塞相关的病理学是美国主要的死亡原因。仅静脉血栓栓塞疾病每年就会导致 90 万人住院和 30 万人死亡,而且随着人口老龄化,发病率还会增加(Wakefield 等人,J Vasc Surg 2009,49:1620-1623)。因此,了解血栓形成过程中涉及的许多过程之间的相互作用具有重要的生物医学价值。在本文中,我们首先回顾了止血/血栓形成的重要亚过程的计算模型,分别是凝血反应、血小板激活和纤维蛋白组装。然后,我们描述了几个整合这些亚过程的多尺度模型,以模拟血栓的时空发展。验证计算模型和预测性模拟的发展将使人们能够探索多种止血因素的变化如何影响血栓形成风险,为血栓形成研究提供一个重要的新工具。

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