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Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study

BACKGROUND: Increasing the predictability and reducing the rate of side effects of oral anticoagulant treatment (OAT) requires further clarification of the cause of about 50% of the interindividual variability of OAT response that is currently unaccounted for. We explore numerically the hypothesis t...

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Autores principales: Corlan, Alexandru D, Ross, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215663/
https://www.ncbi.nlm.nih.gov/pubmed/22082142
http://dx.doi.org/10.1186/1742-4682-8-37
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author Corlan, Alexandru D
Ross, John
author_facet Corlan, Alexandru D
Ross, John
author_sort Corlan, Alexandru D
collection PubMed
description BACKGROUND: Increasing the predictability and reducing the rate of side effects of oral anticoagulant treatment (OAT) requires further clarification of the cause of about 50% of the interindividual variability of OAT response that is currently unaccounted for. We explore numerically the hypothesis that the effect of the interindividual expression variability of coagulation proteins, which does not usually result in a variability of the coagulation times in untreated subjects, is unmasked by OAT. RESULTS: We developed a stochastic variant of the Hockin-Mann model of the tissue factor coagulation pathway, using literature data for the variability of coagulation protein levels in the blood of normal subjects. We simulated in vitro coagulation and estimated the Prothrombin Time and the INR across a model population. In a model of untreated subjects a "canalization effect" can be observed in that a coefficient of variation of up to 33% of each protein level results in a simulated INR of 1 with a clinically irrelevant dispersion of 0.12. When the mean and the standard deviation of vitamin-K dependent protein levels were reduced by 80%, corresponding to the usual Warfarin treatment intensity, the simulated INR was 2.98 ± 0.48, a clinically relevant dispersion, corresponding to a reduction of the canalization effect. Then we combined the Hockin-Mann stochastic model with our previously published model of population response to Warfarin, that takes into account the genetical and the phenotypical variability of Warfarin pharmacokinetics and pharmacodynamics. We used the combined model to evaluate the coagulation protein variability effect on the variability of the Warfarin dose required to reach an INR target of 2.5. The dose variance when removing the coagulation protein variability was 30% lower. The dose was mostly related to the pretreatment levels of factors VII, X, and the tissue factor pathway inhibitor (TFPI). CONCLUSIONS: It may be worth exploring in experimental studies whether the pretreatment levels of coagulation proteins, in particular VII, X and TFPI, are predictors of the individual warfarin dose, even though, maybe due to a canalization-type effect, their effect on the INR variance in untreated subjects appears low.
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spelling pubmed-32156632011-11-15 Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study Corlan, Alexandru D Ross, John Theor Biol Med Model Research BACKGROUND: Increasing the predictability and reducing the rate of side effects of oral anticoagulant treatment (OAT) requires further clarification of the cause of about 50% of the interindividual variability of OAT response that is currently unaccounted for. We explore numerically the hypothesis that the effect of the interindividual expression variability of coagulation proteins, which does not usually result in a variability of the coagulation times in untreated subjects, is unmasked by OAT. RESULTS: We developed a stochastic variant of the Hockin-Mann model of the tissue factor coagulation pathway, using literature data for the variability of coagulation protein levels in the blood of normal subjects. We simulated in vitro coagulation and estimated the Prothrombin Time and the INR across a model population. In a model of untreated subjects a "canalization effect" can be observed in that a coefficient of variation of up to 33% of each protein level results in a simulated INR of 1 with a clinically irrelevant dispersion of 0.12. When the mean and the standard deviation of vitamin-K dependent protein levels were reduced by 80%, corresponding to the usual Warfarin treatment intensity, the simulated INR was 2.98 ± 0.48, a clinically relevant dispersion, corresponding to a reduction of the canalization effect. Then we combined the Hockin-Mann stochastic model with our previously published model of population response to Warfarin, that takes into account the genetical and the phenotypical variability of Warfarin pharmacokinetics and pharmacodynamics. We used the combined model to evaluate the coagulation protein variability effect on the variability of the Warfarin dose required to reach an INR target of 2.5. The dose variance when removing the coagulation protein variability was 30% lower. The dose was mostly related to the pretreatment levels of factors VII, X, and the tissue factor pathway inhibitor (TFPI). CONCLUSIONS: It may be worth exploring in experimental studies whether the pretreatment levels of coagulation proteins, in particular VII, X and TFPI, are predictors of the individual warfarin dose, even though, maybe due to a canalization-type effect, their effect on the INR variance in untreated subjects appears low. BioMed Central 2011-10-12 /pmc/articles/PMC3215663/ /pubmed/22082142 http://dx.doi.org/10.1186/1742-4682-8-37 Text en Copyright ©2011 Corlan and Ross; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Corlan, Alexandru D
Ross, John
Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title_full Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title_fullStr Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title_full_unstemmed Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title_short Canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation Study
title_sort canalization effect in the coagulation cascade and the interindividual variability of oral anticoagulant response. a simulation study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215663/
https://www.ncbi.nlm.nih.gov/pubmed/22082142
http://dx.doi.org/10.1186/1742-4682-8-37
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