Mathematics Department, University of North Carolina at Chapel Hill, Chapel Hill, 27599-3250, NC, USA.
Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Math Biosci. 2024 Aug;374:109229. doi: 10.1016/j.mbs.2024.109229. Epub 2024 Jun 6.
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.
血液凝固是一系列生化反应的网络,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,这种依赖性有助于将凝血局限于损伤部位,并增强反应物之间的关联。目前的凝血数学模型要么不考虑脂质作为变量,要么与改变脂质浓度的实验不一致。由于没有依赖脂质的分析速率定律,只能从酶动力学实验中推导出表观速率常数。我们开发了一种新的数学框架,用于在脂质囊泡存在的情况下对酶反应进行建模。在这里,浓度使得只有一部分囊泡含有结合酶,其余的囊泡保持空的。我们分别将含有和不含有酶的脂质囊泡称为 TF:VIIa 和 TF:VIIa 脂质。由于底物与 TF:VIIa 和 TF:VIIa 脂质都结合,我们的模型表明,过量的空脂质作为底物的强汇。我们使用我们的框架推导出一个分析速率方程,并进行约束优化以估计酶-底物对的单个全局固有速率集。结果与实验一致,并揭示了底物转化率最大化的临界脂质浓度,这一现象称为模板效应。接下来,我们包括了酶的产物抑制,并推导出相应的速率方程,这使得更复杂反应的动力学研究成为可能。我们的实验和数学综合研究为揭示脂质介导的反应如何影响凝血过程的机制提供了一个通用框架。