Synapse bv, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands.
J Thromb Haemost. 2015 Mar;13(3):437-47. doi: 10.1111/jth.12798. Epub 2015 Jan 7.
The generation of thrombin in time is the combined effect of the processes of prothrombin conversion and thrombin inactivation. Measurement of prothrombin consumption used to provide valuable information on hemostatic disorders, but is no longer used, due to its elaborate nature.
Because thrombin generation (TG) curves are easily obtained with modern techniques, we developed a method to extract the prothrombin conversion curve from the TG curve, using a computational model for thrombin inactivation.
Thrombin inactivation was modelled computationally by a reaction scheme with antithrombin, α(2) Macroglobulin and fibrinogen, taking into account the presence of the thrombin substrate ZGGR-AMC used to obtain the experimental data. The model was validated by comparison with data obtained from plasma as well as from a reaction mixture containing the same reactants as plasma.
The computational model fitted experimental data within the limits of experimental error. Thrombin inactivation curves were predicted within 2 SD in 96% of healthy subjects. Prothrombin conversion was calculated in 24 healthy subjects and validated by comparison with the experimental consumption of prothrombin during TG. The endogenous thrombin potential (ETP) mainly depends on the total amount of prothrombin converted and the thrombin decay capacity, and the peak height is determined by the maximum prothrombin conversion rate and the thrombin decay capacity.
Thrombin inactivation can be accurately predicted by the proposed computational model and prothrombin conversion can be extracted from a TG curve using this computational prediction. This additional computational analysis of TG facilitates the analysis of the process of disturbed TG.
凝血酶的生成是凝血酶原转化和凝血酶失活过程的综合效应。凝血酶原消耗的测量曾经提供了有关止血紊乱的有价值的信息,但由于其复杂性,现已不再使用。
由于现代技术可以轻松获得凝血酶生成(TG)曲线,因此我们开发了一种从 TG 曲线中提取凝血酶原转化曲线的方法,该方法使用了凝血酶失活的计算模型。
通过包含抗凝血酶、α(2)巨球蛋白和纤维蛋白原的反应方案对凝血酶失活进行了计算建模,同时考虑了用于获得实验数据的凝血酶底物 ZGGR-AMC 的存在。通过与血浆以及包含与血浆相同反应物的反应混合物获得的数据进行比较,对模型进行了验证。
计算模型在实验误差范围内拟合了实验数据。在 96%的健康受试者中,凝血酶失活曲线在 2SD 内得到了预测。在 24 名健康受试者中计算了凝血酶原转化,并通过与 TG 期间凝血酶原的实际消耗进行比较进行了验证。内源性凝血酶潜能(ETP)主要取决于转化的总凝血酶原量和凝血酶衰减能力,而峰高则由最大凝血酶原转化速率和凝血酶衰减能力决定。
可以通过提出的计算模型准确预测凝血酶失活,并且可以使用该计算预测从 TG 曲线中提取凝血酶原转化。对 TG 的这种额外的计算分析有助于分析受干扰的 TG 过程。