作为自发血凝块形成模型的合作 SIR 动力学。

IF 1.9 4区 数学 Q2 BIOLOGY
Philip Greulich
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引用次数: 0

摘要

血液凝结是受伤后抑制出血的重要生理过程,但如果不慎发生,则可能导致血栓形成,从而危及生命。因此,在没有血管破裂的情况下,了解不经意间自发凝血的微观机理因素有助于预测和预防此类情况的发生。在此,我们提出了一个自发性血液凝结初始阶段--血小板集体活化--的最小模型(类似于 SIR 模型)。该模型预测,在初始激活信号很小的情况下,血小板群的宏观激活是可能的,但需要血小板敏感性有足够的异质性。要传播活化信号并实现大量血小板的集体活化,可能需要存在少数超敏感血小板,但也需要足够比例的血小板具有中等但高于平均水平的敏感性。与实验结果的比较表明,两者在高血小板信号活性方面的定性一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative SIR dynamics as a model for spontaneous blood clot initiation
Blood clotting is an important physiological process to suppress bleeding upon injury, but when it occurs inadvertently, it can cause thrombosis, which can lead to life threatening conditions. Hence, understanding the microscopic mechanistic factors for inadvertent, spontaneous blood clotting, in absence of a vessel breach, can help in predicting and averting such conditions. Here, we present a minimal model – reminiscent of the SIR model – for the initiating stage of spontaneous blood clotting, the collective activation of blood platelets. This model predicts that in the presence of very small initial activation signals, collective activation of the platelet population is possible, but requires a sufficient degree of heterogeneity of platelet sensitivity. To propagate the activation signal and achieve collective activation of the bulk platelet population, it requires the presence of, possibly only few, hyper-sensitive platelets, but also a sufficient proportion of platelets with intermediate, yet higher-than-average sensitivity. A comparison with experimental results demonstrates a qualitative agreement for high platelet signalling activity.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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