Literature DB >> 24759131

An overview of mathematical modeling of thrombus formation under flow.

Karin Leiderman1, Aaron Fogelson2.   

Abstract

In the last decade numerous mathematical models have been formulated to investigate specific components of the clotting system such as the tissue factor pathway of coagulation. Sophisticated, multiscale models were developed to better understand the interplay of flow-mediated transport, platelet deposition, and coagulation kinetics, and their overall effect on thrombus formation. Promotion of thrombus growth is partially due to the well-known pro-coagulant roles of platelets like the surface-dependent coagulation reactions. Iterations of theoretical model predictions and experiment have helped to elucidate anticoagulant roles of platelets as well. These roles include paving over the subendothelium and hindering transport of substrates to and from enzyme complexes which can strongly affect thrombus formation. In this review, we give a brief overview of theoretical models of thrombus formation under flow and some of the experiments that motivated them and were motivated by them.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coagulation; Mathematical model; Multiscale model; Thrombus formation; Thrombus permeability

Mesh:

Year:  2014        PMID: 24759131     DOI: 10.1016/j.thromres.2014.03.005

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  15 in total

1.  Modelling of platelet-fibrin clot formation in flow with a DPD-PDE method.

Authors:  A Tosenberger; F Ataullakhanov; N Bessonov; M Panteleev; A Tokarev; V Volpert
Journal:  J Math Biol       Date:  2015-05-24       Impact factor: 2.259

2.  Model predictions of deformation, embolization and permeability of partially obstructive blood clots under variable shear flow.

Authors:  Shixin Xu; Zhiliang Xu; Oleg V Kim; Rustem I Litvinov; John W Weisel; Mark Alber
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

3.  Modeling the effect of blood vessel bifurcation ratio on occlusive thrombus formation.

Authors:  Hari Hara Sudhan Lakshmanan; Joseph J Shatzel; Sven R Olson; Owen J T McCarty; Jeevan Maddala
Journal:  Comput Methods Biomech Biomed Engin       Date:  2019-05-08       Impact factor: 1.763

Review 4.  Systems biology of platelet-vessel wall interactions.

Authors:  Yolande Chen; Seth Joel Corey; Oleg V Kim; Mark S Alber
Journal:  Adv Exp Med Biol       Date:  2014       Impact factor: 2.622

Review 5.  "Soluble Tissue Factor" in the 21st Century: Definitions, Biochemistry, and Pathophysiological Role in Thrombus Formation.

Authors:  Vladimir Y Bogdanov; Henri H Versteeg
Journal:  Semin Thromb Hemost       Date:  2015-09-26       Impact factor: 4.180

6.  Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood.

Authors:  Alireza Yazdani; Yixiang Deng; He Li; Elahe Javadi; Zhen Li; Safa Jamali; Chensen Lin; Jay D Humphrey; Christos S Mantzoros; George Em Karniadakis
Journal:  J R Soc Interface       Date:  2021-02-03       Impact factor: 4.118

7.  Continuous Modeling of Arterial Platelet Thrombus Formation Using a Spatial Adsorption Equation.

Authors:  Evgenia S Babushkina; Nikolay M Bessonov; Fazoil I Ataullakhanov; Mikhail A Panteleev
Journal:  PLoS One       Date:  2015-10-30       Impact factor: 3.240

Review 8.  Multiscale modeling methods in biomechanics.

Authors:  Pinaki Bhattacharya; Marco Viceconti
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-01-19

9.  A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels.

Authors:  Xiaoning Zheng; Alireza Yazdani; He Li; Jay D Humphrey; George E Karniadakis
Journal:  PLoS Comput Biol       Date:  2020-04-28       Impact factor: 4.475

10.  Regulation of Early Steps of GPVI Signal Transduction by Phosphatases: A Systems Biology Approach.

Authors:  Joanne L Dunster; Francoise Mazet; Michael J Fry; Jonathan M Gibbins; Marcus J Tindall
Journal:  PLoS Comput Biol       Date:  2015-11-19       Impact factor: 4.475

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