Literature DB >> 23123075

Fibrin polymerization in blood coagulation-a statistical model.

Gilead Moiseyev1, Sefi Givli, Pinhas Z Bar-Yoseph.   

Abstract

A theoretical model for the growth of fibrin clots is derived. The model is based on a statistical description of the polymerization process underlying the formation of the fibrin polymeric network. The model provides insights regarding the role of various factors, such as thrombin concentration, plasmin concentration, and the local shear rate in the coagulation process. In particular, the effect of these factors on the mechanical properties of the clot is studied. Numerical results are in very good agreement with quantitative and qualitative experimental observations. Importantly, no fitting parameters are used, and all model parameters, such as fibrin persistence length and monomer size, are in accordance with experimental reports.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23123075     DOI: 10.1016/j.jbiomech.2012.09.019

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  A constitutive model for a maturing fibrin network.

Authors:  Thomas H S van Kempen; Arjen C B Bogaerds; Gerrit W M Peters; Frans N van de Vosse
Journal:  Biophys J       Date:  2014-07-15       Impact factor: 4.033

2.  Computational Biomechanical Modeling of Fibrin Networks and Platelet-Fiber Network Interactions.

Authors:  Francesco Pancaldi; Oleg V Kim; John W Weisel; Mark Alber; Zhiliang Xu
Journal:  Curr Opin Biomed Eng       Date:  2022-02-17

3.  Development of a mesoscopic framework spanning nanoscale protofibril dynamics to macro-scale fibrin clot formation.

Authors:  Naoki Takeishi; Taiki Shigematsu; Ryogo Enosaki; Shunichi Ishida; Satoshi Ii; Shigeo Wada
Journal:  J R Soc Interface       Date:  2021-11-10       Impact factor: 4.118

4.  Toward Understanding the Genetic Basis of Yak Ovary Reproduction: A Characterization and Comparative Analyses of Estrus Ovary Transcriptiome in Yak and Cattle.

Authors:  Daoliang Lan; Xianrong Xiong; Cai Huang; Tserang Donko Mipam; Jian Li
Journal:  PLoS One       Date:  2016-04-04       Impact factor: 3.240

  4 in total

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