The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A top‐down systems biology view of microbiome‐mammalian metabolic interactions in a mouse model
Open accessAbstract
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 (1)H 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.
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Cites
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“These observations are consistent with previous findings that the microbiota promote storage of triglycerides in adipocytes via indirect modulation of cellular fatty acids uptake, secretion of apolipoproteins and adipocyte triglyceride accumulation (Backhed et al, 2004; Dumas et al, 2006).”
BackgroundResultInfluentialSelf-citationGut microorganisms, mammalian metabolism and personalized health care
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Cited by
Turnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091
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Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis
Jia, W., Xie, G., & Jia, W. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.119 · Cited by 1,924
An ecological and evolutionary perspective on human–microbe mutualism and disease
Dethlefsen, L., McFall-Ngai, M., & Relman, D. A. (2007) · Nature · doi:10.1038/nature06245 · Cited by 1,660
Metadata
- Authors
- Martin, F. J., Dumas, M., Wang, Y., Legido‐Quigley, C., Yap, I. K. S., Tang, H., Zirah, S., Murphy, G. M., Cloarec, O., Lindon, J. C., Sprenger, N., Fay, L. B., Kochhar, S., van Bladeren, P., Holmes, E., & Nicholson, J. K.
- Venue
- Molecular Systems Biology
- Published
- 2007-01
- Volume
- 3
- Issue
- 1
- Pages
- 112-112
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2109329073
- Cited by
- 474
- References
- 12
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- Martin, F. J., Dumas, M., Wang, Y., Legido‐Quigley, C., Yap, I. K. S., Tang, H., Zirah, S., Murphy, G. M., Cloarec, O., Lindon, J. C., Sprenger, N., Fay, L. B., Kochhar, S., van Bladeren, P., Holmes, E., & Nicholson, J. K. (2007). A top‐down systems biology view of microbiome‐mammalian metabolic interactions in a mouse model. Molecular Systems Biology. https://doi.org/10.1038/msb4100153
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.