A top-down systems biology view of microbiome-mammalian metabolic interactions in a mouse model

François Pierre J. Martin, Marc Emmanuel Dumas, Yulan Wang, Cristina Legido-Quigley, Ivan K.S. Yap, Huiru Tang, Séverine Zirah, Gerard M. Murphy, Olivier Cloarec, John C. Lindon, Norbert Sprenger, Laurent B. Fay, Sunil Kochhar, Peter Van Bladeren, Elaine Holmes, Jeremy K. Nicholson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

434 Citations (Scopus)

Abstract

Symbiotic gut microorganisms (microbiome) interact closely with the mammalian host's metabolism and are important determinants of human health. Here, we decipher the complex metabolic effects of microbial manipulation, by comparing germfree mice colonized by a human baby flora (HBF) or a normal flora to conventional mice. We perform parallel microbiological profiling, metabolic profiling by 1H nuclear magnetic resonance of liver, plasma, urine and ileal flushes, and targeted profiling of bile acids by ultra performance liquid chromatography-mass spectrometry and short-chain fatty acids in cecum by GC-FID. Top-down multivariate analysis of metabolic profiles reveals a significant association of specific metabotypes with the resident microbiome. We derive a transgenomic graph model showing that HBF flora has a remarkably simple microbiome/metabolome correlation network, impacting directly on the host's ability to metabolize lipids: HBF mice present higher ileal concentrations of tauro-conjugated bile acids, reduced plasma levels of lipoproteins but higher hepatic triglyceride content associated with depletion of glutathione. These data indicate that the microbiome modulates absorption, storage and the energy harvest from the diet at the systems level.

Original languageEnglish
JournalMolecular Systems Biology
Volume3
DOIs
Publication statusPublished - 2007
Externally publishedYes

ASJC Scopus Subject Areas

  • Information Systems
  • General Biochemistry,Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Co-metabolism
  • Gut microflora
  • Metabonomics/metabolomics
  • Network modeling
  • Systems biology

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