re1

s1 > s2

re10

s1 > s7

re11

s1 > s9

re12

s1 > s8

re14

s9 > s10

re15

s8 > s10

re16

s1 > s11

re17

s11 > s1

re18

s1 > s12

re19

s12 > s1

re2

s2 > s3

re22

s1 > s13

re23

s13 > s1

re24

s1 > s14

re25

s14 > s1

re26

s1 > s15

re28

s1 > s16

re29

s16 > s1

re3

s3 > s4

re30

s1 > s17

re31

s17 > s1

re32

s7 > s1

re33

s15 > s10

re4

s4 > s1

re5

s2 > s4

re6

s1 > s5

re7

s5 > s1

re8

s1 > s6

re9

s6 > s1

Global parameters
re1
re10
re11
re12
re14
re15
re16
re17
re18
re19
re2
re22
re23
re24
re25
re26
re28
re29
re3
re30
re31
re32
re33
re4
re5
re6
re7
re8
re9

Note that constraints are not enforced in simulations. It remains the responsibility of the user to verify that simulation results satisfy these constraints.


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Systems analysis of iron metabolism: the network of iron pools and fluxes.

  • Tiago J S Lopes
  • Tatyana Luganskaja
  • Maja Vujić Spasić
  • Matthias W Hentze
  • Martina U Muckenthaler
  • Klaus Schümann
  • Jens G Reich
BMC Syst Biol 2010; 4 : 112
Abstract
BACKGROUND: Every cell of the mammalian organism needs iron as trace element in numerous oxido-reductive processes as well as for transport and storage of oxygen. The very versatility of ionic iron makes it a toxic entity which can catalyze the production of radicals that damage vital membranous and macromolecular assemblies in the cell. The mammalian organism maintains therefore a complex regulatory network of iron uptake, excretion and intra-body distribution. Intracellular regulation in different cell types is intertwined with a global hormonal signalling structure. Iron deficiency as well as excess of iron are frequent and serious human disorders. They can affect every cell, but also the organism as a whole.
RESULTS: Here, we present a kinematic model of the dynamic system of iron pools and fluxes. It is based on ferrokinetic data and chemical measurements in C57BL6 wild-type mice maintained on iron-deficient, iron-adequate, or iron-loaded diet. The tracer iron levels in major tissues and organs (16 compartment) were followed for 28 days. The evaluation resulted in a whole-body model of fractional clearance rates. The analysis permits calculation of absolute flux rates in the steady-state, of iron distribution into different organs, of tracer-accessible pool sizes and of residence times of iron in the different compartments in response to three states of iron-repletion induced by the dietary regime.
CONCLUSIONS: This mathematical model presents a comprehensive physiological picture of mice under three different diets with varying iron contents. The quantitative results reflect systemic properties of iron metabolism: dynamic closedness, hierarchy of time scales, switch-over response and dynamics of iron storage in parenchymal organs. Therefore, we could assess which parameters will change under dietary perturbations and study in quantitative terms when those changes take place.
The SBML for this model was obtained from the BioModels database (BioModels ID: BIOMD0000000261) Biomodels notes: This model corresponds to the Iron Loaded model of the reference publication. The model reproduces the plots in third column (Diet: Iron Loaded) of figures 2 and 3. The model was integrated and simulated using Copasi v4.5.31. JWS Online curation: This model was curated by reproducing the figures as described in the BioModels Notes. No additional changes were made.