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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3256151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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