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Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation

Factor (f)Xa is a critical enzyme in blood coagulation that is responsible for the initiation and propagation of thrombin generation. Previously we have shown that analysis of computationally generated thrombin profiles is a tool to investigate hemostasis in various populations. In this study, we ev...

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Autores principales: Brummel-Ziedins, Kathleen E., Orfeo, Thomas, Gissel, Matthew, Mann, Kenneth G., Rosendaal, Frits R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3256151/
https://www.ncbi.nlm.nih.gov/pubmed/22247769
http://dx.doi.org/10.1371/journal.pone.0029178
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author Brummel-Ziedins, Kathleen E.
Orfeo, Thomas
Gissel, Matthew
Mann, Kenneth G.
Rosendaal, Frits R.
author_facet Brummel-Ziedins, Kathleen E.
Orfeo, Thomas
Gissel, Matthew
Mann, Kenneth G.
Rosendaal, Frits R.
author_sort Brummel-Ziedins, Kathleen E.
collection PubMed
description Factor (f)Xa is a critical enzyme in blood coagulation that is responsible for the initiation and propagation of thrombin generation. Previously we have shown that analysis of computationally generated thrombin profiles is a tool to investigate hemostasis in various populations. In this study, we evaluate the potential of computationally derived time courses of fXa generation as another approach for investigating thrombotic risk. Utilizing the case (n = 473) and control (n = 426) population from the Leiden Thrombophilia Study and each individual's plasma protein factor composition for fII, fV, fVII, fVIII, fIX, fX, antithrombin and tissue factor pathway inhibitor, tissue factor-initiated total active fXa generation was assessed using a mathematical model. FXa generation was evaluated by the area under the curve (AUC), the maximum rate (MaxR) and level (MaxL) and the time to reach these, TMaxR and TMaxL, respectively. FXa generation was analyzed in the entire populations and in defined subgroups (by sex, age, body mass index, oral contraceptive use). The maximum rates and levels of fXa generation occur over a 10- to 12- fold range in both cases and controls. This variation is larger than that observed with thrombin (3–6 fold) in the same population. The greatest risk association was obtained using either MaxR or MaxL of fXa generation; with an ∼2.2 fold increased risk for individuals exceeding the 90(th) percentile. This risk was similar to that of thrombin generation(MaxR OR 2.6). Grouping defined by oral contraceptive (OC) use in the control population showed the biggest differences in fXa generation; a >60% increase in the MaxR upon OC use. FXa generation can distinguish between a subset of individuals characterized by overlapping thrombin generation profiles. Analysis of fXa generation is a phenotypic characteristic which may prove to be a more sensitive discriminator than thrombin generation among all individuals.
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spelling pubmed-32561512012-01-13 Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation Brummel-Ziedins, Kathleen E. Orfeo, Thomas Gissel, Matthew Mann, Kenneth G. Rosendaal, Frits R. PLoS One Research Article Factor (f)Xa is a critical enzyme in blood coagulation that is responsible for the initiation and propagation of thrombin generation. Previously we have shown that analysis of computationally generated thrombin profiles is a tool to investigate hemostasis in various populations. In this study, we evaluate the potential of computationally derived time courses of fXa generation as another approach for investigating thrombotic risk. Utilizing the case (n = 473) and control (n = 426) population from the Leiden Thrombophilia Study and each individual's plasma protein factor composition for fII, fV, fVII, fVIII, fIX, fX, antithrombin and tissue factor pathway inhibitor, tissue factor-initiated total active fXa generation was assessed using a mathematical model. FXa generation was evaluated by the area under the curve (AUC), the maximum rate (MaxR) and level (MaxL) and the time to reach these, TMaxR and TMaxL, respectively. FXa generation was analyzed in the entire populations and in defined subgroups (by sex, age, body mass index, oral contraceptive use). The maximum rates and levels of fXa generation occur over a 10- to 12- fold range in both cases and controls. This variation is larger than that observed with thrombin (3–6 fold) in the same population. The greatest risk association was obtained using either MaxR or MaxL of fXa generation; with an ∼2.2 fold increased risk for individuals exceeding the 90(th) percentile. This risk was similar to that of thrombin generation(MaxR OR 2.6). Grouping defined by oral contraceptive (OC) use in the control population showed the biggest differences in fXa generation; a >60% increase in the MaxR upon OC use. FXa generation can distinguish between a subset of individuals characterized by overlapping thrombin generation profiles. Analysis of fXa generation is a phenotypic characteristic which may prove to be a more sensitive discriminator than thrombin generation among all individuals. Public Library of Science 2012-01-11 /pmc/articles/PMC3256151/ /pubmed/22247769 http://dx.doi.org/10.1371/journal.pone.0029178 Text en Brummel-Ziedins et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Brummel-Ziedins, Kathleen E.
Orfeo, Thomas
Gissel, Matthew
Mann, Kenneth G.
Rosendaal, Frits R.
Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title_full Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title_fullStr Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title_full_unstemmed Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title_short Factor Xa Generation by Computational Modeling: An Additional Discriminator to Thrombin Generation Evaluation
title_sort factor xa generation by computational modeling: an additional discriminator to thrombin generation evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3256151/
https://www.ncbi.nlm.nih.gov/pubmed/22247769
http://dx.doi.org/10.1371/journal.pone.0029178
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