Potassium balance in lactating and non-lactating dairy cows

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Model Identifier
BIOMD0000000849
Short description
Format
SBML (L2V4)
Related Publication
  • A dynamic model to simulate potassium balance in dairy cows.
  • Berg M, Plöntzke J, Leonhard-Marek S, Müller KE, Röblitz S
  • Journal of dairy science , 12/ 2017 , Volume 100 , Issue 12 , pages: 9799-9814 , PubMed ID: 28987591
  • Zuse Institute Berlin, Berlin 14195, Germany.
  • High-performing dairy cows require a particular composition of nutritional ingredients, adapted to their individual requirements and depending on their production status. The optimal dimensioning of minerals in the diet, one being potassium, is indispensable for the prevention of imbalances. Potassium balance in cows is the result of potassium intake, distribution in the organism, and excretion, and it is closely related to glucose and electrolyte metabolism. In this paper, we present a dynamical model for potassium balance in lactating and nonlactating dairy cows based on ordinary differential equations. Parameter values were obtained from clinical trial data and from the literature. To verify the consistency of the model, we present simulation outcomes for 3 different scenarios: potassium balance in (1) nonlactating cows with varying feed intake, (2) nonlactating cows with varying potassium fraction in the diet, and (3) lactating cows with varying milk production levels. The results give insights into the short- and long-term potassium metabolism, providing an important step toward the understanding of the potassium network, the design of prophylactic feed additives, and possible treatment strategies.
Contributors
Submitter of the first revision: Julia Plöntzke
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Julia Plöntzke, Mohammad Umer Sharif Shohan

Metadata information


Curation status
Curated


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Model files

Berg2017.xml SBML L2V4 representation of Potassium balance in lactating and non-lactating dairy cows 304.98 KB Preview | Download

Additional files

Berg2017.cps COPASI version 4.24 (Build 197) Potassium balance in lactating and non-lactating dairy cows 349.01 KB Preview | Download
Berg2017.sedml SEDML L1V2 Potassium balance in lactating and non-lactating dairy cows 1.01 KB Preview | Download
MODEL1710230000-biopax2.owl Auto-generated BioPAX (Level 2) 24.04 KB Preview | Download
MODEL1710230000-biopax3.owl Auto-generated BioPAX (Level 3) 43.53 KB Preview | Download
MODEL1710230000.m Auto-generated Octave file 14.22 KB Preview | Download
MODEL1710230000.png Auto-generated Reaction graph (PNG) 159.43 KB Preview | Download
MODEL1710230000.sci Auto-generated Scilab file 380.00 Bytes Preview | Download
MODEL1710230000.svg Auto-generated Reaction graph (SVG) 45.94 KB Preview | Download
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MODEL1710230000.xpp Auto-generated XPP file 11.33 KB Preview | Download
MODEL1710230000_url.xml old xml file 130.62 KB Preview | Download
MODEL1710230000_urn.xml Auto-generated SBML file with URNs 130.62 KB Preview | Download

  • Model originally submitted by : Julia Plöntzke
  • Submitted: Oct 23, 2017 2:12:55 PM
  • Last Modified: Jan 3, 2020 3:08:08 PM
Revisions
  • Version: 7 public model Download this version
    • Submitted on: Jan 3, 2020 3:08:08 PM
    • Submitted by: Mohammad Umer Sharif Shohan
    • With comment: Model revised without commit message
  • Version: 6 public model Download this version
    • Submitted on: Nov 11, 2019 10:48:48 AM
    • Submitted by: Mohammad Umer Sharif Shohan
    • With comment: Automatically added model identifier BIOMD0000000849
  • Version: 2 public model Download this version
    • Submitted on: Jan 31, 2018 4:26:23 PM
    • Submitted by: Julia Plöntzke
    • With comment: Current version of MODEL1710230000
  • Version: 1 public model Download this version
    • Submitted on: Oct 23, 2017 2:12:55 PM
    • Submitted by: Julia Plöntzke
    • With comment: Original import of MODEL1710230000

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Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
Gluc stor 3647.74674176755 mol
Gluc prod 34.0337183015116 mol
snk metact 0.0 mol
Gluc b 0.546566462071036 mol
K ECF 0.175136827769812 mol
ins b 21.8532954203392 mol
src Glucblood 0.0 mol
s24 0.0 mol
Reactions
Reactions Rate Parameters
Gluc_stor => Gluc_b Function_for_GsGb(Gluc_b, Gluc_feed, Gluc_stor, default, p1, p17, p35, p55, p63, p64, p65, p7) p7 = 0.925 1; p55 = 0.0 1; Gluc_feed = 41.6325 1; p35 = 100.0 1; p63 = 800.0 1; p64 = 0.2 1; p1 = 40.4 1; p17 = 16.0 1; p65 = 0.3 1
Gluc_prod => Gluc_stor default*Function_for_GpGs(Gluc_prod, Gluc_stor, default, p51, p55, p57, p62) p62 = 1.0 1; p55 = 0.0 1; p57 = 3800.0 1; p51 = 0.1 1
met_act => snk_metact default*Function_for_MaSnk(default, met_act, p44) p44 = 1.2 1
Gluc_prod => Gluc_b Function_for_GpGb(Gluc_b, Gluc_prod, default, p37, p39, p50) p50 = 0.4 1; p39 = 30.0 1; p37 = 0.0 1
Gluc_b => Gluc_stor; ins_b, Gluc_prod Function_for_GbGs(Gluc_b, Gluc_feed, Gluc_prod, Gluc_stor, default, ins_b, p1, p12, p36, p55, p57) p36 = 1.0 1; p55 = 0.0 1; Gluc_feed = 41.6325 1; p1 = 40.4 1; p57 = 3800.0 1; p12 = 0.0105 1
K_tiss => K_ECF; K_git Function_for_KtKe(K_ECF, K_git, K_tiss, default, p10, p15, p26, p27, p38) p26 = 49.0279 1; p27 = 0.232634885 1; p10 = 1400.0 1; p15 = 32.0 1; p38 = 1509.6 1
ins_b => snk_insnew c2*Function_for_SnkIn(c2, ins_b, p41) p41 = 20.0 1
s23 => Gluc_prod default*Function_for_SrcGp(Gluc_feed, default, p48) Gluc_feed = 41.6325 1; p48 = 0.08 1
src_Glucblood => Gluc_b c2*Function_for_SrcGb(Gluc_feed, c2, p48) Gluc_feed = 41.6325 1; p48 = 0.08 1
Gluc_b => s24; Gluc_prod Function_for_SnkGb(Gluc_b, Gluc_prod, default, p28, p47, p55, p58, p59, p66) p28 = 25.0 1; p59 = 1.0 1; p55 = 0.0 1; p66 = 1.4 1; p58 = 0.01 1; p47 = 72.0 1
Curator's comment:
(added: 11 Nov 2019, 10:48:28, updated: 10 May 2022, 12:07:47)
The model is encoded using COPASI 4.24 (Build 197) and plots are generated using COPASI 4.24