Waugh2006 - Diabetic Wound Healing - Macrophage Dynamics
This a model from the article:
Macrophage dynamics in diabetic wound dealing.
Waugh HV, Sherratt JA. Bull Math Biol 2006 Jan;68(1):197-207 16794927 ,
Wound healing in diabetes is a complex process, characterised by a chronic inflammation phase. The exact mechanism by which this occurs is not fully understood, and whilst several treatments for healing diabetic wounds exist, very little research has been conducted towards the causes of the extended inflammation phase. We describe a mathematical model which offers a possible explanation for diabetic wound healing in terms of the distribution of macrophage phenotypes being altered in the diabetic patient compared to normal wound repair. As a consequence of this, we put forward a suggestion for treatment based on rectifying the macrophage phenotype imbalance.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was: Waugh HV, Sherratt JA. (2006) - version=1.0
The original CellML model was created by:
The University of Auckland
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.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
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.
- Macrophage dynamics in diabetic wound dealing.
- Waugh HV, Sherratt JA
- Bulletin of mathematical biology , 1/ 2006 , Volume 68 , Issue 1 , pages: 197-207 , PubMed ID: 16794927
- School of Mathematics and Computing, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, UK. firstname.lastname@example.org
- Wound healing in diabetes is a complex process, characterised by a chronic inflammation phase. The exact mechanism by which this occurs is not fully understood, and whilst several treatments for healing diabetic wounds exist, very little research has been conducted towards the causes of the extended inflammation phase. We describe a mathematical model which offers a possible explanation for diabetic wound healing in terms of the distribution of macrophage phenotypes being altered in the diabetic patient compared to normal wound repair. As a consequence of this, we put forward a suggestion for treatment based on rectifying the macrophage phenotype imbalance.
Submitter of this revision: Sarubini Kananathan
Modellers: administrator, Camille Laibe, Sarubini Kananathan
isDescribedBy (1 statement)
hasTaxon (1 statement)
isVersionOf (1 statement)
hasProperty (1 statement)
Connected external resources
OmicsDI Impact Metrics
|Waugh2006_1.xml||SBML L2V4 representation of Waugh2006 - Diabetic Wound Healing - Macrophage Dynamics||49.81 KB||Preview | Download|
|BIOMD0000000679-biopax2.owl||Auto-generated BioPAX (Level 2)||5.79 KB||Preview | Download|
|BIOMD0000000679-biopax3.owl||Auto-generated BioPAX (Level 3)||6.26 KB||Preview | Download|
|BIOMD0000000679.m||Auto-generated Octave file||3.75 KB||Preview | Download|
|BIOMD0000000679.pdf||Auto-generated PDF file||148.04 KB||Preview | Download|
|BIOMD0000000679.png||Auto-generated Reaction graph (PNG)||4.27 KB||Preview | Download|
|BIOMD0000000679.sci||Auto-generated Scilab file||210.00 Bytes||Preview | Download|
|BIOMD0000000679.svg||Auto-generated Reaction graph (SVG)||845.00 Bytes||Preview | Download|
|BIOMD0000000679.vcml||Auto-generated VCML file||900.00 Bytes||Preview | Download|
|BIOMD0000000679.xpp||Auto-generated XPP file||1.91 KB||Preview | Download|
|BIOMD0000000679_urn.xml||Auto-generated SBML file with URNs||33.42 KB||Preview | Download|
|Waugh2006_1.cps||Curated and annotated copasi file.||47.13 KB||Preview | Download|
|Waugh2006_1.sedml||SED-ML file to produce figure 2 (top and middle rows) of the reference publication. A parameter scan with one interval will change the value of alpha from 0.5 (normal) to 0.8 (diabetic).||4.42 KB||Preview | Download|
- Model originally submitted by : Camille Laibe
- Submitted: Jun 23, 2010 10:11:49 AM
- Last Modified: Dec 5, 2018 1:37:27 PM
- Submitted on: Dec 5, 2018 1:37:27 PM
- Submitted by: Sarubini Kananathan
- With comment: Automatically added model identifier BIOMD0000000679
- Submitted on: Mar 1, 2018 12:52:48 PM
- Submitted by: administrator
- With comment: Curated and annotated XML file
- Submitted on: Jun 25, 2010 1:01:19 PM
- Submitted by: Camille Laibe
- With comment: Current version of Waugh2006_WoundHealingMacrophageDynamics_Diabetic_ModelB
- Submitted on: Jun 23, 2010 10:11:49 AM
- Submitted by: Camille Laibe
- With comment: Original import of Waugh2006_WoundHealingMacrophageDynamics_Diabetic_ModelB
(*) 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
macrophage ; inflammatory macrophage
macrophage ; Wound Repair
monocyte ; monocyte migration into blood stream ; monocyte
|phi_I = (alpha*K_T+k1*k2*phi_I*(1-k3*(phi_I+phi_R)))-d1*phi_I||(alpha*K_T+k1*k2*phi_I*(1-k3*(phi_I+phi_R)))-d1*phi_I||k3 = 0.002 0.001*m³; d1 = 0.2 1/(0.0115741*ms); k2 = 0.693 1/(0.0115741*ms); alpha = 0.8 1; k1 = 0.05 1|
|T =>||COMpartment*d2*T||d2 = 9.1 1/(0.0115741*ms)|
|=> phi_I; K_T||COMpartment*alpha*K_T||alpha = 0.8 1|
|=> phi_I; phi_R||COMpartment*k1*k2*phi_I*(1-k3*(phi_I+phi_R))||k3 = 0.002 0.001*m³; k2 = 0.693 1/(0.0115741*ms); k1 = 0.05 1|
|T = k4*phi_I-d2*T||k4*phi_I-d2*T||k4 = 0.07 0.0864*µg/s; d2 = 9.1 1/(0.0115741*ms)|
|phi_I =>||COMpartment*d1*phi_I||d1 = 0.2 1/(0.0115741*ms)|
|=> phi_R; K_T||COMpartment*(1-alpha)*K_T||alpha = 0.8 1|
|phi_R =>||COMpartment*d1*phi_R||d1 = 0.2 1/(0.0115741*ms)|
|K_T = tau1*T^3+tau2*T^2+tau3*T+tau4||||tau4 = 1.75 1/(0.0115741*m³*s); tau2 = 21.94 0.0864*mm³/(g²*s); tau1 = -2.47 8.64e-11*m^6/(g³*s); tau3 = 6.41 1/(11.5741*Mg*s)|
|=> T; phi_I||COMpartment*k4*phi_I||k4 = 0.07 0.0864*µg/s|
(added: 01 Mar 2018, 15:00:30, updated: 01 Mar 2018, 15:00:30)