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Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network
Warfarin is the anticoagulant of choice for venous thromboembolism (VTE) treatment, although its suppression of the endogenous clot‐dissolution complex APC:PS may ultimately lead to longer time‐to‐clot dissolution profiles, resulting in increased risk of re‐thrombosis. This detrimental effect might...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080651/ https://www.ncbi.nlm.nih.gov/pubmed/27647667 http://dx.doi.org/10.1002/psp4.12111 |
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author | Hartmann, S Biliouris, K Lesko, LJ Nowak‐Göttl, U Trame, MN |
author_facet | Hartmann, S Biliouris, K Lesko, LJ Nowak‐Göttl, U Trame, MN |
author_sort | Hartmann, S |
collection | PubMed |
description | Warfarin is the anticoagulant of choice for venous thromboembolism (VTE) treatment, although its suppression of the endogenous clot‐dissolution complex APC:PS may ultimately lead to longer time‐to‐clot dissolution profiles, resulting in increased risk of re‐thrombosis. This detrimental effect might not occur during VTE treatment using other anticoagulants, such as rivaroxaban or enoxaparin, given their different mechanisms of action within the coagulation network. A quantitative systems pharmacology model was developed describing the coagulation network to monitor clotting factor levels under warfarin, enoxaparin, and rivaroxaban treatment. The model allowed for estimation of all factor rate constants and production rates. Predictions of individual coagulation factor time courses under steady‐state warfarin, enoxaparin, and rivaroxaban treatment reflected the suppression of protein C and protein S under warfarin compared to rivaroxaban and enoxaparin. The model may be used as a tool during clinical practice to predict effects of anticoagulants on individual clotting factor time courses and optimize antithrombotic therapy. |
format | Online Article Text |
id | pubmed-5080651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50806512016-10-31 Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network Hartmann, S Biliouris, K Lesko, LJ Nowak‐Göttl, U Trame, MN CPT Pharmacometrics Syst Pharmacol Original Articles Warfarin is the anticoagulant of choice for venous thromboembolism (VTE) treatment, although its suppression of the endogenous clot‐dissolution complex APC:PS may ultimately lead to longer time‐to‐clot dissolution profiles, resulting in increased risk of re‐thrombosis. This detrimental effect might not occur during VTE treatment using other anticoagulants, such as rivaroxaban or enoxaparin, given their different mechanisms of action within the coagulation network. A quantitative systems pharmacology model was developed describing the coagulation network to monitor clotting factor levels under warfarin, enoxaparin, and rivaroxaban treatment. The model allowed for estimation of all factor rate constants and production rates. Predictions of individual coagulation factor time courses under steady‐state warfarin, enoxaparin, and rivaroxaban treatment reflected the suppression of protein C and protein S under warfarin compared to rivaroxaban and enoxaparin. The model may be used as a tool during clinical practice to predict effects of anticoagulants on individual clotting factor time courses and optimize antithrombotic therapy. John Wiley and Sons Inc. 2016-09-20 2016-10 /pmc/articles/PMC5080651/ /pubmed/27647667 http://dx.doi.org/10.1002/psp4.12111 Text en © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Hartmann, S Biliouris, K Lesko, LJ Nowak‐Göttl, U Trame, MN Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title | Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title_full | Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title_fullStr | Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title_full_unstemmed | Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title_short | Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network |
title_sort | quantitative systems pharmacology model to predict the effects of commonly used anticoagulants on the human coagulation network |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080651/ https://www.ncbi.nlm.nih.gov/pubmed/27647667 http://dx.doi.org/10.1002/psp4.12111 |
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