Mardinoglu2015 - Curated tissue-specific genome-scale metabolic network - Adipose

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Mardinoglu2015 - Tissue-specific genome-scale metabolic network - Adipose tissue

This model is described in the article:

Mardinoglu A, Shoaie S, Bergentall M, Ghaffari P, Zhang C, Larsson E, Bäckhed F, Nielsen J.
Mol. Syst. Biol. 2015; 11(10): 834

Abstract:

The gut microbiota has been proposed as an environmental factor that promotes the progression of metabolic diseases. Here, we investigated how the gut microbiota modulates the global metabolic differences in duodenum, jejunum, ileum, colon, liver, and two white adipose tissue depots obtained from conventionally raised (CONV-R) and germ-free (GF) mice using gene expression data and tissue-specific genome-scale metabolic models (GEMs). We created a generic mouse metabolic reaction (MMR) GEM, reconstructed 28 tissue-specific GEMs based on proteomics data, and manually curated GEMs for small intestine, colon, liver, and adipose tissues. We used these functional models to determine the global metabolic differences between CONV-R and GF mice. Based on gene expression data, we found that the gut microbiota affects the host amino acid (AA) metabolism, which leads to modifications in glutathione metabolism. To validate our predictions, we measured the level of AAs and N-acetylated AAs in the hepatic portal vein of CONV-R and GF mice. Finally, we simulated the metabolic differences between the small intestine of the CONV-R and GF mice accounting for the content of the diet and relative gene expression differences. Our analyses revealed that the gut microbiota influences host amino acid and glutathione metabolism in mice.

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SBML (L2V3)
Related Publication
  • The gut microbiota modulates host amino acid and glutathione metabolism in mice.
  • Mardinoglu A, Shoaie S, Bergentall M, Ghaffari P, Zhang C, Larsson E, Bäckhed F, Nielsen J
  • Molecular Systems Biology , 10/ 2015 , Volume 11 , pages: 834
  • Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden adilm@scilifelab.se.
  • The gut microbiota has been proposed as an environmental factor that promotes the progression of metabolic diseases. Here, we investigated how the gut microbiota modulates the global metabolic differences in duodenum, jejunum, ileum, colon, liver, and two white adipose tissue depots obtained from conventionally raised (CONV-R) and germ-free (GF) mice using gene expression data and tissue-specific genome-scale metabolic models (GEMs). We created a generic mouse metabolic reaction (MMR) GEM, reconstructed 28 tissue-specific GEMs based on proteomics data, and manually curated GEMs for small intestine, colon, liver, and adipose tissues. We used these functional models to determine the global metabolic differences between CONV-R and GF mice. Based on gene expression data, we found that the gut microbiota affects the host amino acid (AA) metabolism, which leads to modifications in glutathione metabolism. To validate our predictions, we measured the level of AAs and N-acetylated AAs in the hepatic portal vein of CONV-R and GF mice. Finally, we simulated the metabolic differences between the small intestine of the CONV-R and GF mice accounting for the content of the diet and relative gene expression differences. Our analyses revealed that the gut microbiota influences host amino acid and glutathione metabolism in mice.
Contributors
Nicolas Rodriguez

Metadata information

is
BioModels Database MODEL1509220031
Taxonomy Mus musculus

Curation status
Non-curated

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  • Model originally submitted by : Nicolas Rodriguez
  • Submitted: 22-Sep-2015 15:07:55
  • Last Modified: 03-Nov-2015 11:51:46
Revisions
  • Version: 2 public model Download this version
    • Submitted on: 03-Nov-2015 11:51:46
    • Submitted by: Nicolas Rodriguez
    • With comment: Current version of Mardinoglu2015 - Curated tissue-specific genome-scale metabolic network - Adipose
  • Version: 1 public model Download this version
    • Submitted on: 22-Sep-2015 15:07:55
    • Submitted by: Nicolas Rodriguez
    • With comment: Original import of MODEL1509220031.xml.origin
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