Literature DB >> 21631138

Blood coagulation dynamics: mathematical modeling and stability results.

Adélia Sequeira1, Rafael F Santos, Tomás Bodnár.   

Abstract

The hemostatic system is a highly complex multicomponent biosystem that under normal physiologic conditions maintains the fluidity of blood. Coagulation is initiated in response to endothelial surface vascular injury or certain biochemical stimuli, by the exposure of plasma to Tissue Factor (TF), that activates platelets and the coagulation cascade, inducing clot formation, growth and lysis. In recent years considerable advances have contributed to understand this highly complex process and some mathematical and numerical models have been developed. However, mathematical models that are both rigorous and comprehensive in terms of meaningful experimental data, are not available yet. In this paper a mathematical model of coagulation and fibrinolysis in flowing blood that integrates biochemical, physiologic and rheological factors, is revisited. Three-dimensional numerical simulations are performed in an idealized stenosed blood vessel where clot formation and growth are initialized through appropriate boundary conditions on a prescribed region of the vessel wall. Stability results are obtained for a simplified version of the clot model in quiescent plasma, involving some of the most relevant enzymatic reactions that follow Michaelis-Menten kinetics, and having a continuum of equilibria.

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Year:  2011        PMID: 21631138     DOI: 10.3934/mbe.2011.8.425

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  3 in total

Review 1.  Recent advances in computational modeling of fibrin clot formation: A review.

Authors:  Sumith Yesudasan; Rodney D Averett
Journal:  Comput Biol Chem       Date:  2019-11-10       Impact factor: 2.877

2.  Patient-Specific Modelling of Blood Coagulation.

Authors:  N Ratto; A Bouchnita; P Chelle; M Marion; M Panteleev; D Nechipurenko; B Tardy-Poncet; V Volpert
Journal:  Bull Math Biol       Date:  2021-03-27       Impact factor: 1.758

3.  Modeling Thrombin Generation in Plasma under Diffusion and Flow.

Authors:  Christian J C Biscombe; Steven K Dower; Ineke L Muir; Dalton J E Harvie
Journal:  Biophys J       Date:  2020-05-19       Impact factor: 4.033

  3 in total

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