Modeling the distribution of enzymes on lipid vesicles: A novel framework for surface-mediated reactions in coagulation

IF 1.9 4区 数学 Q2 BIOLOGY Mathematical Biosciences Pub Date : 2024-06-06 DOI:10.1016/j.mbs.2024.109229
Jamie Madrigal , Dougald M. Monroe , Suzanne S. Sindi , Karin Leiderman
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Abstract

Blood coagulation is a network of biochemical reactions wherein dozens of proteins act collectively to initiate a rapid clotting response. Coagulation reactions are lipid-surface dependent, and this dependence is thought to help localize coagulation to the site of injury and enhance the association between reactants. Current mathematical models of coagulation either do not consider lipid as a variable or do not agree with experiments where lipid concentrations were varied. Since there is no analytic rate law that depends on lipid, only apparent rate constants can be derived from enzyme kinetic experiments. We developed a new mathematical framework for modeling enzymes reactions in the presence of lipid vesicles. Here the concentrations are such that only a fraction of the vesicles harbor bound enzymes and the rest remain empty. We call the lipid vesicles with and without enzyme TF:VIIa+ and TF:VIIa lipid, respectively. Since substrate binds to both TF:VIIa+ and TF:VIIa lipid, our model shows that excess empty lipid acts as a strong sink for substrate. We used our framework to derive an analytic rate equation and performed constrained optimization to estimate a single, global set of intrinsic rates for the enzyme–substrate pair. Results agree with experiments and reveal a critical lipid concentration where the conversion rate of the substrate is maximized, a phenomenon known as the template effect. Next, we included product inhibition of the enzyme and derived the corresponding rate equations, which enables kinetic studies of more complex reactions. Our combined experimental and mathematical study provides a general framework for uncovering the mechanisms by which lipid mediated reactions impact coagulation processes.

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模拟酶在脂质囊泡上的分布:凝结过程中表面介导反应的新框架。
血液凝固是一个生化反应网络,其中数十种蛋白质共同作用,启动快速凝血反应。凝血反应依赖于脂质表面,这种依赖性被认为有助于将凝血定位到损伤部位,并增强反应物之间的关联。目前的凝血数学模型要么没有将脂质作为变量,要么与改变脂质浓度的实验不一致。由于没有依赖于脂质的分析速率定律,因此只能从酶动力学实验中得出表观速率常数。我们开发了一种新的数学框架,用于模拟脂质囊泡存在时的酶反应。在这种情况下,脂质囊泡的浓度是这样的:只有一部分囊泡含有结合的酶,其余囊泡仍然是空的。我们将有酶和无酶的脂质囊泡分别称为 TF:VIIa+ 脂质囊泡和 TF:VIIa- 脂质囊泡。由于底物同时与 TF:VIIa+ 和 TF:VIIa- 脂质结合,我们的模型表明,多余的空脂质是底物的一个强大汇。我们利用我们的框架推导出了一个解析速率方程,并进行了约束优化,以估算出酶-底物配对的单个全局固有速率集。结果与实验相符,并揭示了底物转化率最大化的临界脂质浓度,这种现象被称为模板效应。接下来,我们加入了酶的产物抑制作用,并推导出相应的速率方程,从而能够对更复杂的反应进行动力学研究。我们的实验和数学研究为揭示脂质介导反应影响凝结过程的机制提供了一个总体框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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