Waugh2006 - Diabetic Wound Healing - Macrophage Dynamics

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Short description

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 ,
Abstract:
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:
Catherine Lloyd
c.lloyd@auckland.ac.nz
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.

Format
SBML (L2V4)
Related Publication
  • Macrophage dynamics in diabetic wound dealing.
  • Waugh HV, Sherratt JA
  • Bulletin of mathematical biology , 1/ 2006 , Volume 68 , Issue 1 , pages: 197-207
  • School of Mathematics and Computing, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, UK. hwaugh@ma.hw.ac.uk
  • 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.
Contributors
Camille Laibe, Sarubini Kananathan, administrator

Metadata information

is
BioModels Database MODEL1006230002
BIOMD0000000679
isDescribedBy
PubMed 16794927
hasTaxon
Taxonomy Homo sapiens
isVersionOf
hasProperty
Curation status
Curated
Name Description Size Actions

Model file

Waugh2006_1.xml SBML L2V4 representation of Waugh2006 - Diabetic Wound Healing - Macrophage Dynamics 49.81 KB Preview | Download

Additional files

BIOMD0000000679.xpp Auto-generated XPP file 1.91 KB Preview | Download
BIOMD0000000679-biopax3.owl Auto-generated BioPAX (Level 3) 6.26 KB Preview | Download
BIOMD0000000679.svg Auto-generated Reaction graph (SVG) 845.00 bytes Preview | Download
BIOMD0000000679-biopax2.owl Auto-generated BioPAX (Level 2) 5.79 KB Preview | Download
Waugh2006_1.cps Curated and annotated copasi file. 47.13 KB Preview | Download
BIOMD0000000679_urn.xml Auto-generated SBML file with URNs 33.42 KB Preview | Download
BIOMD0000000679.vcml Auto-generated VCML file 900.00 bytes Preview | Download
BIOMD0000000679.sci Auto-generated Scilab file 210.00 bytes 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
BIOMD0000000679.png Auto-generated Reaction graph (PNG) 4.27 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

  • Model originally submitted by : Camille Laibe
  • Submitted: 23-Jun-2010 10:11:49
  • Last Modified: 05-Dec-2018 13:37:27
Revisions
  • Version: 5 public model Download this version
    • Submitted on: 05-Dec-2018 13:37:27
    • Submitted by: Sarubini Kananathan
    • With comment: Automatically added model identifier BIOMD0000000679
  • Version: 3 public model Download this version
    • Submitted on: 01-Mar-2018 12:52:48
    • Submitted by: administrator
    • With comment: Curated and annotated XML file
  • Version: 2 public model Download this version
    • Submitted on: 25-Jun-2010 13:01:19
    • Submitted by: Camille Laibe
    • With comment: Current version of Waugh2006_WoundHealingMacrophageDynamics_Diabetic_ModelB
  • Version: 1 public model Download this version
    • Submitted on: 23-Jun-2010 10:11:49
    • Submitted by: Camille Laibe
    • With comment: Original import of Waugh2006_WoundHealingMacrophageDynamics_Diabetic_ModelB
Curator's comment:
(added: 01 Mar 2018, 15:00:30, updated: 01 Mar 2018, 15:00:30)
Figure 2 (top and middle rows) of the reference publication illustrating inflammatory (curated top row) and repair (curated bottom row) macrophage dynamics has been curated. The time scale used in the curated, diabetic wound healing simulation (right) is twice as long as in the reference publication. A parameter scan with one interval can change the value of alpha from 0.5 (normal) to 0.8 (diabetic). The simulations were performed in COPASI 4.22 (Build 170) and the figures were generated in MATLAB R2014b.