The Prothrombotic Phenotypes in Familial Protein C Deficiency Are Differentiated by Computational Modeling of Thrombin Generation

28Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

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. © 2012 Brummel-Ziedins et al.

References Powered by Scopus

Multipoint quantitative-trait linkage analysis in general pedigrees

2620Citations
N/AReaders
Get full text

Trends in the incidence of deep vein thrombosis and pulmonary embolism: A 25-year population-based study

2359Citations
N/AReaders
Get full text

The long-term clinical course of acute deep venous thrombosis

2016Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Genetic risk factors in venous thromboembolism

44Citations
N/AReaders
Get full text

Models for thrombin generation and risk of disease

29Citations
N/AReaders
Get full text

Untangling the complexity of blood coagulation network: Use of computational modelling in pharmacology and diagnostics

25Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Brummel-Ziedins, K. E., Orfeo, T., Callas, P. W., Gissel, M., Mann, K. G., & Bovill, E. G. (2012). The Prothrombotic Phenotypes in Familial Protein C Deficiency Are Differentiated by Computational Modeling of Thrombin Generation. PLoS ONE, 7(9). https://doi.org/10.1371/journal.pone.0044378

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

41%

Researcher 7

41%

Professor / Associate Prof. 2

12%

Lecturer / Post doc 1

6%

Readers' Discipline

Tooltip

Engineering 7

41%

Medicine and Dentistry 4

24%

Agricultural and Biological Sciences 3

18%

Mathematics 3

18%

Save time finding and organizing research with Mendeley

Sign up for free