Literature DB >> 33867873

A MATHEMATICAL MODEL OF PLATELET AGGREGATION IN AN EXTRAVASCULAR INJURY UNDER FLOW.

Kathryn G Link1, Matthew G Sorrells2, Nicholas A Danes3, Keith B Neeves4, Karin Leiderman3, Aaron L Fogelson1,5.   

Abstract

We present the first mathematical model of flow-mediated primary hemostasis in an extravascular injury which can track the process from initial deposition to occlusion. The model consists of a system of ordinary differential equations (ODEs) that describe platelet aggregation (adhesion and cohesion), soluble-agonist-dependent platelet activation, and the flow of blood through the injury. The formation of platelet aggregates increases resistance to flow through the injury, which is modeled using the Stokes-Brinkman equations. Data from analogous experimental (microfluidic flow) and partial differential equation models informed parameter values used in the ODE model description of platelet adhesion, cohesion, and activation. This model predicts injury occlusion under a range of flow and platelet activation conditions. Simulations testing the effects of shear and activation rates resulted in delayed occlusion and aggregate heterogeneity. These results validate our hypothesis that flow-mediated dilution of activating chemical adenosine diphosphate hinders aggregate development. This novel modeling framework can be extended to include more mechanisms of platelet activation as well as the addition of the biochemical reactions of coagulation, resulting in a computationally efficient high throughput screening tool of primary and secondary hemostasis.

Entities:  

Keywords:  76S99; 92B05; 93A30; blood clotting; flows in porous media; hemostasis; mathematical biology; mathematical modeling

Year:  2020        PMID: 33867873      PMCID: PMC8051825          DOI: 10.1137/20m1317785

Source DB:  PubMed          Journal:  Multiscale Model Simul        ISSN: 1540-3459            Impact factor:   1.930


  40 in total

1.  Contribution of distinct adhesive interactions to platelet aggregation in flowing blood.

Authors:  Z M Ruggeri; J A Dent; E Saldívar
Journal:  Blood       Date:  1999-07-01       Impact factor: 22.113

2.  Grow with the flow: a spatial-temporal model of platelet deposition and blood coagulation under flow.

Authors:  Karin Leiderman; Aaron L Fogelson
Journal:  Math Med Biol       Date:  2010-05-03       Impact factor: 1.854

3.  A mathematical model of coagulation under flow identifies factor V as a modifier of thrombin generation in hemophilia A.

Authors:  Kathryn G Link; Michael T Stobb; Matthew G Sorrells; Maria Bortot; Katherine Ruegg; Marilyn J Manco-Johnson; Jorge A Di Paola; Suzanne S Sindi; Aaron L Fogelson; Karin Leiderman; Keith B Neeves
Journal:  J Thromb Haemost       Date:  2019-11-01       Impact factor: 5.824

4.  A density-dependent FEM-FCT algorithm with application to modeling platelet aggregation.

Authors:  Nicholas A Danes; Karin Leiderman
Journal:  Int J Numer Method Biomed Eng       Date:  2019-07-09       Impact factor: 2.747

5.  Inhibition of platelet function by administration of MRS2179, a P2Y1 receptor antagonist.

Authors:  A Baurand; P Raboisson; M Freund; C Léon; J P Cazenave; J J Bourguignon; C Gachet
Journal:  Eur J Pharmacol       Date:  2001-02-02       Impact factor: 4.432

6.  Platelet adhesion to a spinning surface.

Authors:  V T Turitto; E F Leonard
Journal:  Trans Am Soc Artif Intern Organs       Date:  1972

7.  Platelet aggregation in flowing blood in vitro. II. Dependence of aggregate growth rate on ADP concentration and share rate.

Authors:  E F Grabowski; J T Franta; P Didisheim
Journal:  Microvasc Res       Date:  1978-09       Impact factor: 3.514

Review 8.  Platelet adhesion, shape change, and aggregation: rapid initiation and signal transduction events.

Authors:  A R Gear
Journal:  Can J Physiol Pharmacol       Date:  1994-03       Impact factor: 2.273

Review 9.  Phenotypic heterogeneity of hemostasis in severe hemophilia.

Authors:  Keiji Nogami; Midori Shima
Journal:  Semin Thromb Hemost       Date:  2015-01-23       Impact factor: 4.180

10.  Specific synergy of multiple substrate-receptor interactions in platelet thrombus formation under flow.

Authors:  B Savage; F Almus-Jacobs; Z M Ruggeri
Journal:  Cell       Date:  1998-09-04       Impact factor: 41.582

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  1 in total

1.  Image Fusion and Stylization Processing Based on Multiscale Transformation and Convolutional Neural Network.

Authors:  Qingzeng Xu
Journal:  Comput Intell Neurosci       Date:  2022-04-28
  1 in total

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