Literature DB >> 28002748

A Mathematical Model of Venous Thrombosis Initiation.

Priscilla Elizondo1, Aaron L Fogelson2.   

Abstract

We present a mathematical model for the initiation of venous thrombosis (VT) due to slow flow and the consequent activation of the endothelial cells (ECs) lining the vein, in the absence of overt mechanical disruption of the EC layer. It includes all reactions of the tissue factor (TF) pathway of coagulation through fibrin formation, incorporates the accumulation of blood cells on activated ECs, accounts for the flow-mediated delivery and removal of coagulation proteins and blood cells from the locus of the reactions, and accounts for the activity of major inhibitors including heparan-sulfate-accelerated antithrombin and activated protein C. The model reveals that the occurrence of robust thrombin generation (a thrombin burst) depends in a threshold manner on the density of TF on the activated ECs and on the concentration of thrombomodulin and the degree of heparan-sulfate accelerated antithrombin activity on those cells. Small changes in any of these in appropriate narrow ranges switches the response between "no burst" and "burst." The model predicts synergies among the inhibitors, both in terms of each inhibitor's multiple targets, and in terms of interactions between the different inhibitors. The model strongly suggests that the rate and extent of accumulation of activated monocytes, platelets, and MPs that can support the coagulation reactions has a powerful influence on whether a thrombin burst occurs and the thrombin response when it does. The slow rate of accumulation of cells supporting coagulation is one reason that the progress of VT is so much slower than that of arterial thrombosis initiated by subendothelial exposure.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28002748      PMCID: PMC5192478          DOI: 10.1016/j.bpj.2016.10.030

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  75 in total

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  12 in total

1.  A mathematical model to quantify the effects of platelet count, shear rate, and injury size on the initiation of blood coagulation under venous flow conditions.

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Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

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Journal:  Curr Opin Biomed Eng       Date:  2022-02-17

4.  DEVELOPMENT OF FIBRIN BRANCH STRUCTURE BEFORE AND AFTER GELATION.

Authors:  Aaron L Fogelson; Anna C Nelson; Cheryl Zapata-Allegro; James P Keener
Journal:  SIAM J Appl Math       Date:  2022-01-27       Impact factor: 2.148

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Authors:  Huiqi Zhu; Kejing Ying
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2020-12-25

7.  Modeling Thrombus Shell: Linking Adhesion Receptor Properties and Macroscopic Dynamics.

Authors:  Valeriia N Kaneva; Joanne L Dunster; Vitaly Volpert; Fazoil Ataullahanov; Mikhail A Panteleev; Dmitry Yu Nechipurenko
Journal:  Biophys J       Date:  2021-01-19       Impact factor: 4.033

8.  A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow.

Authors:  Kathryn G Link; Michael T Stobb; Jorge Di Paola; Keith B Neeves; Aaron L Fogelson; Suzanne S Sindi; Karin Leiderman
Journal:  PLoS One       Date:  2018-07-26       Impact factor: 3.240

9.  Establishing the Transient Mass Balance of Thrombosis: From Tissue Factor to Thrombin to Fibrin Under Venous Flow.

Authors:  Shu Zhu; Jason Chen; Scott L Diamond
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Authors:  Jason Chen; Scott L Diamond
Journal:  PLoS Comput Biol       Date:  2019-08-05       Impact factor: 4.475

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