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name: Osteoblasts
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metaid_0000009
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BIOMD0000000402
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is derived from: BIOMD0000000279
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parameter: metaid_0000012
modified:
  W3 CDTF: Fri Apr 20 20:33:30 BST 2012
species: metaid_0000006
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parameter: metaid_0000021
parameter: metaid_0040021
parameter: metaid_0020021
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is described by: http://identifiers.org/pubmed/20406449
compartment: metaid_0000022
parameter: metaid_0000015
parameter: metaid_0000011
name: Ayati2010_BoneRemodelingDynamics_WithTumour
rule: metaid_0000029
is: MODEL1112060001
parameter: metaid_0000009
creator:
  ORG:
    orgname: Department of Mathematics, University of lowa, lowa City, IA 52242, USA.
  n:
    given: Bruce P
    family: Ayati
parameter: metaid_0000018
parameter: metaid_0010021
species: metaid_0000004
parameter: metaid_0030021
rule: metaid_0000025
parameter: metaid_0050021
rule: metaid_0000026
parameter: metaid_0000020
parameter: metaid_0000013
parameter: metaid_0060021
occurs in: http://identifiers.org/taxonomy/7711
species: metaid_0100006
parameter: metaid_0000014
parameter: metaid_0000010
substance units: metaid_0000321
created:
  W3 CDTF: Fri Nov 25 17:39:27 GMT 2011
creator:
  ORG:
    orgname: EMBL-EBI
  n:
    given: Vijayalakshmi
    family: Chelliah
is derived from: BIOMD0000000148
length unit: length
species: metaid_0000005
parameter: metaid_0000008
parameter: metaid_0000017
type: SBMLModel
notes: This a model from the article: A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease Bruce P Ayati, Claire M Edwards, Glenn F Webb and John P Wikswo. Biology Direct 2010 Apr 20;5(28). 20406449 , Abstract: BACKGROUND: Multiple myeloma is a hematologic malignancy associated with the development of a destructive osteolytic bone disease. RESULTS: Mathematical models are developed for normal bone remodeling and for the dysregulated bone remodeling that occurs in myeloma bone disease. The models examine the critical signaling between osteoclasts (bone resorption) and osteoblasts (bone formation). The interactions of osteoclasts and osteoblasts are modeled as a system of differential equations for these cell populations, which exhibit stable oscillations in the normal case and unstable oscillations in the myeloma case. In the case of untreated myeloma, osteoclasts increase and osteoblasts decrease, with net bone loss as the tumor grows. The therapeutic effects of targeting both myeloma cells and cells of the bone marrow microenvironment on these dynamics are examined. CONCLUSIONS: The current model accurately reflects myeloma bone disease and illustrates how treatment approaches may be investigated using such computational approaches. Note: The paper describes three models 1) Zero-dimensional Bone Model without Tumour, 2) Zero-dimensional Bone Model with Tumour and 3) Zero-dimensional Bone Model with Tumour and Drug Treatment. This model corresponds to the Zero-dimensional Bone Model with Tumour. Typos in the publication: Equation (4): The first term should be (β1/α1)^(g12/Γ) and not (β2/α2)^(g12/Γ) Equation (14): The first term should be (β1/α1)^(((g12/(1+r12))/Γ) and not (β2/α2)^(((g12/(1+r12))/Γ) Equation (13): The first term should be (β1/α1)^((1-g22+r22)/Γ) and not (β1/α1)^((1-g22-r22)/Γ) All these corrections has been implemented in the model, with the authors agreement. Beyond these, there are several mismatches b…

metaid_0040021
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metaid_0000010
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metaid_0000021
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metaid_0000008
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