Literature DB >> 19275195

Top-down systems biology modeling of host metabotype-microbiome associations in obese rodents.

Alison Waldram1, Elaine Holmes, Yulan Wang, Mattias Rantalainen, Ian D Wilson, Kieran M Tuohy, Anne L McCartney, Glenn R Gibson, Jeremy K Nicholson.   

Abstract

Covariation in the structural composition of the gut microbiome and the spectroscopically derived metabolic phenotype (metabotype) of a rodent model for obesity were investigated using a range of multivariate statistical tools. Urine and plasma samples from three strains of 10-week-old male Zucker rats (obese (fa/fa, n=8), lean (fa/-, n=8) and lean (-/-, n=8)) were characterized via high-resolution 1H NMR spectroscopy, and in parallel, the fecal microbial composition was investigated using fluorescence in situ hydridization (FISH) and denaturing gradient gel electrophoresis (DGGE) methods. All three Zucker strains had different relative abundances of the dominant members of their intestinal microbiota (FISH), with the novel observation of a Halomonas and a Sphingomonas species being present in the (fa/fa) obese strain on the basis of DGGE data. The two functionally and phenotypically normal Zucker strains (fa/- and -/-) were readily distinguished from the (fa/fa) obese rats on the basis of their metabotypes with relatively lower urinary hippurate and creatinine, relatively higher levels of urinary isoleucine, leucine and acetate and higher plasma LDL and VLDL levels typifying the (fa/fa) obese strain. Collectively, these data suggest a conditional host genetic involvement in selection of the microbial species in each host strain, and that both lean and obese animals could have specific metabolic phenotypes that are linked to their individual microbiomes.

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Year:  2009        PMID: 19275195     DOI: 10.1021/pr8009885

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  81 in total

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2.  Urinary metabolite markers of precocious puberty.

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Journal:  Mol Cell Proteomics       Date:  2011-10-25       Impact factor: 5.911

3.  Effect of antibiotic treatment on the intestinal metabolome.

Authors:  L Caetano M Antunes; Jun Han; Rosana B R Ferreira; Petra Lolić; Christoph H Borchers; B Brett Finlay
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Review 4.  An Intestinal Microbiota-Farnesoid X Receptor Axis Modulates Metabolic Disease.

Authors:  Frank J Gonzalez; Changtao Jiang; Andrew D Patterson
Journal:  Gastroenterology       Date:  2016-09-14       Impact factor: 22.682

Review 5.  Unravelling the effects of the environment and host genotype on the gut microbiome.

Authors:  Aymé Spor; Omry Koren; Ruth Ley
Journal:  Nat Rev Microbiol       Date:  2011-04       Impact factor: 60.633

6.  High-fat diet induced leptin and Wnt expression: RNA-sequencing and pathway analysis of mouse colonic tissue and tumors.

Authors:  Harrison M Penrose; Sandra Heller; Chloe Cable; Hani Nakhoul; Melody Baddoo; Erik Flemington; Susan E Crawford; Suzana D Savkovic
Journal:  Carcinogenesis       Date:  2017-03-01       Impact factor: 4.944

Review 7.  Mechanisms, prevention and clinical implications of nonsteroidal anti-inflammatory drug-enteropathy.

Authors:  John L Wallace
Journal:  World J Gastroenterol       Date:  2013-03-28       Impact factor: 5.742

8.  Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study.

Authors:  Evagelia C Laiakis; Gerard A J Morris; Albert J Fornace; Stephen R C Howie
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Review 9.  The core gut microbiome, energy balance and obesity.

Authors:  Peter J Turnbaugh; Jeffrey I Gordon
Journal:  J Physiol       Date:  2009-06-02       Impact factor: 5.182

10.  Site and strain-specific variation in gut microbiota profiles and metabolism in experimental mice.

Authors:  Melissa K Friswell; Helen Gika; Ian J Stratford; Georgios Theodoridis; Brian Telfer; Ian D Wilson; Andrew J McBain
Journal:  PLoS One       Date:  2010-01-05       Impact factor: 3.240

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