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通过血栓生成的计算模型可区分家族性蛋白 C 缺陷的促血栓形成表型。

The prothrombotic phenotypes in familial protein C deficiency are differentiated by computational modeling of thrombin generation.

机构信息

Department of Biochemistry, University of Vermont, College of Medicine, Burlington, Vermont, United States of America.

出版信息

PLoS One. 2012;7(9):e44378. doi: 10.1371/journal.pone.0044378. Epub 2012 Sep 12.

Abstract

The underlying cause of thrombosis in a large protein C (PC) deficient Vermont kindred appears to be multicausal and not explained by PC deficiency alone. We evaluated the contribution of coagulation factors to thrombin generation in this population utilizing a mathematical model that incorporates a mechanistic description of the PC pathway. Thrombin generation profiles for each individual were generated with and without the contribution of the PC pathway. Parameters that describe thrombin generation: maximum level (MaxL) and rate (MaxR), their respective times (TMaxL, TMaxR), area under the curve (AUC) and clotting time (CT) were examined in individuals ± PC mutation, ± prothrombin G20210A polymorphism and ± thrombosis history (DVT or PE). This family (n = 364) is shifted towards greater thrombin generation relative to the mean physiologic control. When this family was analyzed with the PC pathway, our results showed that: carriers of the PC mutation (n = 81) had higher MaxL and MaxR and greater AUC (all p<0.001) than non-carriers (n = 283); and individuals with a DVT and/or PE history (n = 13) had higher MaxL (p = 0.005) and greater AUC (p<0.001) than individuals without a thrombosis history (n = 351). These differences were further stratified by gender, with women in all categories generating more thrombin than males. These results show that all individuals within this family with or without PC deficiency have an increased baseline procoagulant potential reflective of increased thrombin generation. In addition, variations within the plasma composition of each individual can further segregate out increased procoagulant phenotypes, with gender-associated plasma compositional differences playing a large role.

摘要

在一个大型蛋白 C (PC) 缺乏的佛蒙特家族中,血栓形成的根本原因似乎是多因素的,不能仅用 PC 缺乏来解释。我们利用一种数学模型来评估该人群中凝血因子对凝血酶生成的贡献,该模型结合了 PC 途径的机制描述。对于每个个体,生成了有无 PC 途径贡献的凝血酶生成谱。描述凝血酶生成的参数:最大水平 (MaxL) 和速率 (MaxR)、各自的时间 (TMaxL、TMaxR)、曲线下面积 (AUC) 和凝血时间 (CT) 在个体 ± PC 突变、± 凝血酶原 G20210A 多态性和 ± 血栓史 (DVT 或 PE) 时进行了检查。这个家族 (n = 364) 相对于平均生理对照,向更大的凝血酶生成方向偏移。当这个家族用 PC 途径进行分析时,我们的结果表明:PC 突变携带者 (n = 81) 的 MaxL 和 MaxR 更高,AUC 更大 (均 p<0.001),而非携带者 (n = 283);有 DVT 和/或 PE 病史的个体 (n = 13) 的 MaxL 更高 (p = 0.005),AUC 更大 (p<0.001),无血栓病史的个体 (n = 351)。这些差异按性别进一步分层,所有类别的女性产生的凝血酶都比男性多。这些结果表明,这个家族中无论是否存在 PC 缺乏,所有个体都具有增加的基线促凝潜能,反映了凝血酶生成的增加。此外,每个个体血浆成分的变化可以进一步分离出增加的促凝表型,性别相关的血浆成分差异起着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad37/3440432/8a1aa50bee8b/pone.0044378.g001.jpg

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