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Reduced model to predict thrombin and fibrin during thrombosis on collagen/tissue factor under venous flow: Roles of γ’-fibrin and factor XIa

机译:在静脉血流下胶原/组织因子血栓形成过程中预测凝血酶和纤维蛋白的简化模型:γ’-纤维蛋白和XIa因子的作用

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摘要

During thrombosis, thrombin generates fibrin, however fibrin reversibly binds thrombin with low affinity E-domain sites (KD = 2.8 μM) and high affinity γ’-fibrin sites (KD = 0.1 μM). For blood clotting on collagen/tissue factor (1 TF-molecule/μm2) at 200 s-1 wall shear rate, high μM-levels of intraclot thrombin suggest robust prothrombin penetration into clots. Setting intraclot zymogen concentrations to plasma levels (and neglecting cofactor rate limitations) allowed the linearization of 7 Michaelis-Menton reactions between 6 species to simulate intraclot generation of: Factors FXa (via TF/VIIa or FIXa), FIXa (via TF/FVIIa or FXIa), thrombin, fibrin, and FXIa. This reduced model [7 rates, 2 KD’s, enzyme half-lives~1 min] predicted the measured clot elution rate of thrombin-antithrombin (TAT) and fragment F1.2 in the presence and absence of the fibrin inhibitor Gly-Pro-Arg-Pro. To predict intraclot fibrin reaching 30 mg/mL by 15 min, the model required fibrinogen penetration into the clot to be strongly diffusion-limited (actual rate/ideal rate = 0.05). The model required free thrombin in the clot (~100 nM) to have an elution half-life of ~2 sec, consistent with measured albumin elution, with most thrombin (>99%) being fibrin-bound. Thrombin-feedback activation of FXIa became prominent and reached 5 pM FXIa at >500 sec in the simulation, consistent with anti-FXIa experiments. In predicting intrathrombus thrombin and fibrin during 15-min microfluidic experiments, the model revealed “cascade amplification” from 30 pM levels of intrinsic tenase to 15 nM prothrombinase to 15 μM thrombin to 90 μM fibrin. Especially useful for multiscale simulation, this reduced model predicts thrombin and fibrin co-regulation during thrombosis under flow.
机译:在血栓形成过程中,凝血酶会生成血纤蛋白,但是血纤蛋白可逆地结合具有低亲和力E结构域位点(KD = 2.8μM)和高亲和力γ'-血纤蛋白位点(KD = 0.1μM)的凝血酶。对于200 s -1 壁剪切速率下的胶原蛋白/组织因子(1 TF分子/μm 2 )的血液凝结,凝块内凝血酶的高μM水平表明凝血酶原很强渗入血块。将血块内酶原浓度设置为血浆水平(并忽略辅因子速率限制)可以线性化6种物种之间的7个Michaelis-Menton反应,以模拟血块内的产生:因子FXa(通过TF / VIIa或FIXa),FIXa(通过TF / FVIIa或FXIa),凝血酶,血纤蛋白和FXIa。这种降低的模型[7速率,2 KD,酶半衰期〜1分钟]预测了在存在和不存在纤维蛋白抑制剂Gly-Pro-Arg的情况下,凝血酶-抗凝血酶(TAT)和片段F1.2的凝块洗脱速率-专业为了预测血栓内血纤蛋白在15分钟内达到30 mg / mL,该模型要求血纤蛋白原渗透到血凝块中的扩散受到严格限制(实际速率/理想速率= 0.05)。该模型要求血凝块中的游离凝血酶(〜100 nM)具有约2秒的洗脱半衰期,这与测得的白蛋白洗脱相符,大多数凝血酶(> 99%)与血纤蛋白结合。在模拟中,FXIa的凝血酶反馈激活变得显着,并在> 500秒时达到5 pM FXIa,这与抗FXIa实验一致。在15分钟的微流控实验中预测血栓内凝血酶和血纤蛋白时,该模型显示了“级联扩增”,从30 pM水平的固有肌腱酶到15 nM凝血酶原酶到15μM凝血酶到90μM血纤蛋白。这种简化的模型对于多尺度模拟特别有用,可以预测血流形成过程中血栓和纤维蛋白的共调节。

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