Bungay2003_Thrombin_Generation

This model is from the article:
A mathematical model of lipid-mediated thrombin generation
Bungay Sharene D., Gentry Patricia A., Gentry Rodney D.
Mathematical Medicine and BiologyVolume 20, Issue 1, 1 March 2003, Pages 105-29
12974500,
Abstract:
Thrombin is an enzyme that is generated in both vascular and non-vascular systems. In blood coagulation, a fundamental process in all species, thrombin induces the formation of a fibrin clot. A dynamical model of thrombin generation in the presence of lipid surfaces is presented. This model also includes the self-regulating thrombin feedback reactions, the thrombomodulin-protein C-protein S inhibitory system, tissue factor pathway inhibitor (TFPI), and the inhibitor, antithrombin (AT). The dynamics of this complex system were found to be highly lipid dependent, as would be expected from experimental studies. Simulations of this model indicate that a threshold lipid level is required to generate physiologically relevant amounts of thrombin. The dependence of the onset, the peak levels, and the duration of thrombin generation on lipid was saturable. The lipid concentration affects the way in which the inhibitors modulate thrombin production. A novel feature of this model is the inclusion of the dynamical protein C pathway, initiated by thrombin feedback. This inhibitory system exerts its effects on the lipid surface, where its substrates are formed. The maximum impact of TFPI occurs at intermediate vesicle concentrations. Inhibition by AT is only indirectly affected by the lipid since AT irreversibly binds only to solution phase proteins. In a system with normal plasma concentrations of the proteins involved in thrombin formation, the combination of these three inhibitors is sufficient both to effectively stop thrombin generation prior to the exhaustion of its precursor, prothrombin, and to inhibit all thrombin formed. This model can be used to predict thrombin generation under extreme lipid conditions that are difficult to implement experimentally and to examine thrombin generation in non-vascular systems.
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
-
A mathematical model of lipid-mediated thrombin generation.
- Bungay SD, Gentry PA, Gentry RD
- Mathematical medicine and biology : a journal of the IMA , 3/ 2003 , Volume 20 , pages: 105-129 , PubMed ID: 12974500
- Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
- Thrombin is an enzyme that is generated in both vascular and non-vascular systems. In blood coagulation, a fundamental process in all species, thrombin induces the formation of a fibrin clot. A dynamical model of thrombin generation in the presence of lipid surfaces is presented. This model also includes the self-regulating thrombin feedback reactions, the thrombomodulin-protein C-protein S inhibitory system, tissue factor pathway inhibitor (TFPI), and the inhibitor, antithrombin (AT). The dynamics of this complex system were found to be highly lipid dependent, as would be expected from experimental studies. Simulations of this model indicate that a threshold lipid level is required to generate physiologically relevant amounts of thrombin. The dependence of the onset, the peak levels, and the duration of thrombin generation on lipid was saturable. The lipid concentration affects the way in which the inhibitors modulate thrombin production. A novel feature of this model is the inclusion of the dynamical protein C pathway, initiated by thrombin feedback. This inhibitory system exerts its effects on the lipid surface, where its substrates are formed. The maximum impact of TFPI occurs at intermediate vesicle concentrations. Inhibition by AT is only indirectly affected by the lipid since AT irreversibly binds only to solution phase proteins. In a system with normal plasma concentrations of the proteins involved in thrombin formation, the combination of these three inhibitors is sufficient both to effectively stop thrombin generation prior to the exhaustion of its precursor, prothrombin, and to inhibit all thrombin formed. This model can be used to predict thrombin generation under extreme lipid conditions that are difficult to implement experimentally and to examine thrombin generation in non-vascular systems.
Submitter of this revision: Harish Dharuri
Modellers: Harish Dharuri
Metadata information
Connected external resources
Name | Description | Size | Actions |
---|---|---|---|
Model files |
|||
BIOMD0000000334_url.xml | SBML L2V1 representation of Bungay2003_Thrombin_Generation | 167.66 KB | Preview | Download |
Additional files |
|||
BIOMD0000000334-biopax2.owl | Auto-generated BioPAX (Level 2) | 110.40 KB | Preview | Download |
BIOMD0000000334-biopax3.owl | Auto-generated BioPAX (Level 3) | 191.73 KB | Preview | Download |
BIOMD0000000334.m | Auto-generated Octave file | 30.32 KB | Preview | Download |
BIOMD0000000334.pdf | Auto-generated PDF file | 471.86 KB | Preview | Download |
BIOMD0000000334.png | Auto-generated Reaction graph (PNG) | 890.86 KB | Preview | Download |
BIOMD0000000334.sci | Auto-generated Scilab file | 27.71 KB | Preview | Download |
BIOMD0000000334.svg | Auto-generated Reaction graph (SVG) | 140.83 KB | Preview | Download |
BIOMD0000000334.vcml | Auto-generated VCML file | 246.11 KB | Preview | Download |
BIOMD0000000334.xpp | Auto-generated XPP file | 23.96 KB | Preview | Download |
BIOMD0000000334_urn.xml | Auto-generated SBML file with URNs | 163.29 KB | Preview | Download |
- Model originally submitted by : Harish Dharuri
- Submitted: Mar 20, 2008 12:03:15 AM
- Last Modified: May 28, 2014 2:24:41 PM
Revisions
-
Version: 2
- Submitted on: May 28, 2014 2:24:41 PM
- Submitted by: Harish Dharuri
- With comment: Current version of Bungay2003_Thrombin_Generation
-
Version: 1
- Submitted on: Mar 20, 2008 12:03:15 AM
- Submitted by: Harish Dharuri
- With comment: Original import of Bungay2003_Thrombin_Generation
(*) You might be seeing discontinuous
revisions as only public revisions are displayed here. Any private revisions
of this model will only be shown to the submitter and their collaborators.
: Variable used inside SBML models
Species | Initial Concentration/Amount |
---|---|
mIIa l prothrombin ; non-covalently-bound molecular entity |
0.0 nmol |
IXa f coagulation factor IX ; follicular fluid |
0.0 nmol |
Xa l coagulation factor X ; non-covalently-bound molecular entity |
0.0 nmol |
PC l vitamin K-dependent protein C ; non-covalently-bound molecular entity |
0.0 nmol |
VIII Xa l coagulation factor VIII ; coagulation factor X ; non-covalently-bound molecular entity |
0.0 nmol |
IIa f prothrombin ; follicular fluid |
0.0 nmol |
Va l coagulation factor V ; non-covalently-bound molecular entity |
0.0 nmol |
VIIa f coagulation factor VII ; follicular fluid |
0.1 nmol |
VIIa l coagulation factor VII ; non-covalently-bound molecular entity |
0.0 nmol |
Reactions | Rate | Parameters |
---|---|---|
V_mIIa_l => mIIa_l + Va_l | compartment*k60*V_mIIa_l | k60 = 1.035 |
IXa_f + LIPID => IXa_l | compartment*(konIXa*IXa_f*LIPID/nva-koffIXa*IXa_l) | koffIXa = 0.115; nva = 100.0; konIXa = 0.05 |
VIII_Xa_l => Xa_l + VIIIa_l | compartment*k26*VIII_Xa_l | k26 = 0.023 |
PC_f + LIPID => PC_l | compartment*(konPC*PC_f*LIPID/nva-koffPC*PC_l) | koffPC = 11.5; konPC = 0.05; nva = 100.0 |
IIa_f + V_l => V_IIa_l | compartment*(k27*V_l*IIa_f-k28*V_IIa_l) | k27 = 0.1; k28 = 6.94 |
TM_l + IIa_f => IIa_TM_l | compartment*(k64*IIa_f*TM_l-k65*IIa_TM_l) | k65 = 0.5; k64 = 1.0 |
V_Xa_l => Xa_l + Va_l | compartment*k23*V_Xa_l | k23 = 0.043 |
VIIa_f + LIPID => VIIa_l | compartment*(konVIIa*VIIa_f*LIPID/nva-koffVIIa*VIIa_l) | konVIIa = 0.05; nva = 100.0; koffVIIa = 0.227 |
VIIa_l + TF_l => TF_VIIa_l | compartment*(k1*TF_l*VIIa_l-k2*TF_VIIa_l) | k2 = 0.005; k1 = 0.5 |
(added: 12 May 2011, 14:06:57, updated: 12 May 2011, 14:06:57)