Kinetics of the coagulation cascade including the contact activation system: sensitivity analysis and model reduction.


Journal

Biomechanics and modeling in mechanobiology
ISSN: 1617-7940
Titre abrégé: Biomech Model Mechanobiol
Pays: Germany
ID NLM: 101135325

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 17 09 2018
accepted: 16 02 2019
pubmed: 23 3 2019
medline: 21 12 2019
entrez: 23 3 2019
Statut: ppublish

Résumé

Thrombus formation is one of the main issues in the development of blood-contacting medical devices. This article focuses on the modeling of one aspect of thrombosis, the coagulation cascade, which is initiated by the contact activation at the device surface and forms thrombin. Models exist representing the coagulation cascade by a series of reactions, usually solved in quiescent plasma. However, large parameter uncertainty involved in the kinetic models can affect the predictive capabilities of this approach. In addition, the large number of reactions of the kinetic models prevents their use in the simulation of complex flow configurations encountered in medical devices. In the current work, both issues are addressed to improve the applicability and fidelity of kinetic models. A sensitivity analysis is performed by two different techniques to identify the most sensitive parameters of an existing detailed kinetic model of the coagulation cascade. The results are used to select the form of a novel reduced model of the coagulation cascade which relies on eight chemical reactors only. Then, once its parameters have been calibrated thanks to the Bayesian inference, this model shows good predictive capabilities for different initial conditions.

Identifiants

pubmed: 30900051
doi: 10.1007/s10237-019-01134-4
pii: 10.1007/s10237-019-01134-4
doi:

Substances chimiques

Thrombin EC 3.4.21.5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1139-1153

Subventions

Organisme : LabEx Numev
ID : ANR-10-LABX-20
Organisme : GENCI-CINES
ID : 2017-A0020307194
Organisme : GENCI-CINES
ID : 2018-A0040307194

Auteurs

Rodrigo Méndez Rojano (R)

IMAG, Univ Montpellier, CNRS, Montpellier, France.

Simon Mendez (S)

IMAG, Univ Montpellier, CNRS, Montpellier, France.

Didier Lucor (D)

LIMSI, CNRS, Université Paris-Saclay, Orsay, France.

Alexandre Ranc (A)

Department of Haematology Biology, CHU, Univ Montpellier, Montpellier, France.

Muriel Giansily-Blaizot (M)

Department of Haematology Biology, CHU, Univ Montpellier, Montpellier, France.

Jean-François Schved (JF)

Department of Haematology Biology, CHU, Univ Montpellier, Montpellier, France.

Franck Nicoud (F)

IMAG, Univ Montpellier, CNRS, Montpellier, France. franck.nicoud@umontpellier.fr.

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Classifications MeSH